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Open Access September 09, 2025

Biopsy-Negative Giant Cell Arteritis Presenting as Stroke Mimic with Vision Loss and Complex Vascular Disease

Abstract A man in his 60s with multiple vascular comorbidities presented with sudden, painless vision loss in one eye. Although he had a high risk for atherosclerotic events, initial evaluation for stroke was negative for acute ischemia, but found to have markedly elevated inflammatory markers. Accordingly, giant cell arteritis was investigated and Ophthalmologic findings and fulfillment of the 2022 [...] Read more.
A man in his 60s with multiple vascular comorbidities presented with sudden, painless vision loss in one eye. Although he had a high risk for atherosclerotic events, initial evaluation for stroke was negative for acute ischemia, but found to have markedly elevated inflammatory markers. Accordingly, giant cell arteritis was investigated and Ophthalmologic findings and fulfillment of the 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology classification criteria supported the diagnosis of giant cell arteritis, despite a negative temporal artery biopsy. Management included high-dose glucocorticoids and delayed tocilizumab initiation due to the need for multiple vascular surgeries. Vision loss was irreversible, but systemic symptoms resolved and vascular interventions were successful. This case highlights the diagnostic and management complexities of biopsy-negative giant cell arteritis in patients with severe atherosclerotic vascular disease, emphasizing the importance of clinical judgment and established classification criteria when imaging and biopsy results are inconclusive.
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Case Report
Open Access March 29, 2025

The Role of Type 3 Diabetes in Alzheimer’s Disease: A Review of Current Evidence

Abstract Background: Type 2 Diabetes Mellitus (T2DM) and Alzheimer’s Disease (AD) are increasingly linked through shared pathophysiological mechanisms, giving rise to the concept of Type 3 Diabetes Mellitus (T3DM). Brain insulin resistance, oxidative stress, and neuroinflammation are central to both conditions, contributing to cognitive decline and AD progression. Aim: This review aims to [...] Read more.
Background: Type 2 Diabetes Mellitus (T2DM) and Alzheimer’s Disease (AD) are increasingly linked through shared pathophysiological mechanisms, giving rise to the concept of Type 3 Diabetes Mellitus (T3DM). Brain insulin resistance, oxidative stress, and neuroinflammation are central to both conditions, contributing to cognitive decline and AD progression. Aim: This review aims to explore this emerging relationship and its implications for prevention and management. Methods: Using an integrative review, 21 studies were systematically analyzed. The review focused on identifying demographic, genetic, and lifestyle factors contributing to T2DM and AD and examined shared molecular pathways such as insulin dysregulation and amyloid-beta accumulation. Results: The findings reveal that T3DM shares key features with T2DM and AD, including insulin resistance and chronic inflammation. Lifestyle interventions, such as diet and exercise, alongside routine cognitive and metabolic screenings, are critical in mitigating progression. Conclusions: Further research into diagnostic biomarkers and targeted therapies is essential to manage T3DM and its impact on AD. The role of nursing professionals in early detection, education, and holistic management is emphasized as vital in addressing this dual disease burden. This review offers actionable insights into integrated strategies for addressing these interconnected conditions.
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Review Article
Open Access February 07, 2025

Factors Affecting Pain Scale Preferences among Populations in Indonesia: Comparison Study between Suburban and Rural Areas

Abstract Introduction: Pain is considered as the fifth vital sign that should be considered in assessing patients. For clinicians to evaluate and determine the right pain interventions, there should be parameters such as pain scale. Our objective in this study is to determine factors affecting pain scale preferences in suburban and rural populations. The pain scales used in this study are FPS-R [...] Read more.
Introduction: Pain is considered as the fifth vital sign that should be considered in assessing patients. For clinicians to evaluate and determine the right pain interventions, there should be parameters such as pain scale. Our objective in this study is to determine factors affecting pain scale preferences in suburban and rural populations. The pain scales used in this study are FPS-R (Faces Pain Scale-Revised), VRS (Verbal Rating Scale), VAS (Visual Analogue Scale), and NRS (Numering Rating Scale). Method: This study uses observational design with an interview approach and a cross-sectional study. Areas covered are within Indonesia, which are marginal areas of Tangerang district border, and two rural areas in Serukam, West Kalimantan, and Soe, East Nusa Tenggara. Data collected will be analyzed using SPSS 25 software. Result: Populations within the suburban areas prefer NRS (52.08%) as their pain scale, and populations in rural areas prefer FPS-R 76.92%). Factors affecting pain scale preferences are location areas, as well as last education, with statistical significance of p<0.05. Discussion: Our study showed that the choice of several pain scales is not appropriate for specific demographics due to the complexity of these scales. Factors that should be considered are the location areas and education level, as some population in remote areas have better understanding of simpler pain scales. Conclusion: Complexity or simpler components may be an underlying reason for the preference of score selection to assess pain scales in some population. Therefore, the selection of pain scales should be adjusted to specific demographics so that clinicians can provide appropriate management with appropriate pain scales.
Article
Open Access January 15, 2025

Prevalence and determinants of mental health stress among nursing students in Bangladesh: A cross-sectional study

Abstract Background: Nursing students are exposed to significant stress due to academic and clinical demands, which can adversely affect their mental health, academic performance, and future clinical competence. Despite the global acknowledgment of this issue, limited research has been conducted to explore the prevalence and determinants of stress among nursing students in Bangladesh. [...] Read more.
Background: Nursing students are exposed to significant stress due to academic and clinical demands, which can adversely affect their mental health, academic performance, and future clinical competence. Despite the global acknowledgment of this issue, limited research has been conducted to explore the prevalence and determinants of stress among nursing students in Bangladesh. Methods: This cross-sectional study was conducted from December 2023 to February 2024 among 372 nursing students enrolled in selected nursing colleges in Bangladesh. A purposive sampling technique was used, and data was collected using a semi-structured questionnaire. The questionnaire assessed socio-demographic characteristics, academic challenges, and psychological symptoms, with mental health stress measured using a Likert scale. Descriptive statistics and Chi-square tests were used to analyze the data, with a 95% confidence interval applied to all analyses. Results: The findings revealed that 31.7% of nursing students experienced severe stress, 23.9% reported moderate stress, and 16.7% had mild stress. Age, academic semester, and course load difficulties were significantly associated with stress levels (p < 0.05). Psychological symptoms such as anxiety, difficulty concentrating, and loss of interest in activities were also significantly linked to higher stress levels. Notably, students in their first semester and those reporting harder course loads were more likely to experience stress. However, gender was not significantly associated with stress levels. Conclusions: This study underscores the high prevalence of stress among nursing students in Bangladesh, driven by academic and clinical challenges and psychological symptoms. The findings highlight the need for targeted interventions, such as stress management training, enhanced mental health support, and policies to alleviate academic pressures. Future research should explore longitudinal trends in stress and evaluate the effectiveness of interventions to support a resilient nursing workforce.
Article
Open Access January 11, 2025

Exploring LiDAR Applications for Urban Feature Detection: Leveraging AI for Enhanced Feature Extraction from LiDAR Data

Abstract The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is [...] Read more.
The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is crucial for enhancing urban development, environmental monitoring, and advancing smart city governance. LiDAR, known for its high-resolution 3D data capture capabilities, paired with AI, particularly deep learning algorithms, facilitates advanced analysis and interpretation of urban areas. This combination supports precise mapping, real-time monitoring, and predictive modeling of urban growth and infrastructure. For instance, AI can process LiDAR data to identify patterns and anomalies, aiding in traffic management, environmental oversight, and infrastructure maintenance. These advancements not only improve urban living conditions but also contribute to sustainable development by optimizing resource use and reducing environmental impacts. Furthermore, AI-enhanced LiDAR is pivotal in advancing autonomous navigation and sophisticated spatial analysis, marking a significant step forward in urban management and evaluation. The reviewed paper highlights the geometric properties of LiDAR data, derived from spatial point positioning, and underscores the effectiveness of machine learning algorithms in object extraction from point clouds. The study also covers concepts related to LiDAR imaging, feature selection methods, and the identification of outliers in LiDAR point clouds. Findings demonstrate that AI algorithms, especially deep learning models, excel in analyzing high-resolution 3D LiDAR data for accurate urban feature identification and classification. These models leverage extensive datasets to detect patterns and anomalies, improving the detection of buildings, roads, vegetation, and other elements. Automating feature extraction with AI minimizes the need for manual analysis, thereby enhancing urban planning and management efficiency. Additionally, AI methods continually improve with more data, leading to increasingly precise feature detection. The results indicate that the pulse emitted by continuous wave LiDAR sensors changes when encountering obstacles, causing discrepancies in measured physical parameters.
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Article
Open Access January 10, 2025

Clinical characteristics of COVID-19 patients who received ventilator management during the omicron variant period in a tertiary hospital in Japan

Abstract Background: Severe COVID-19 patients who received ventilator management were not very rare even when the omicron variant became dominant, but the clinical characteristics of these patients are still unclear. Methods: The clinical characteristics of severe COVID-19 patients requiring ventilator management were retrospectively investigated from January 2023 to December 2023. [...] Read more.
Background: Severe COVID-19 patients who received ventilator management were not very rare even when the omicron variant became dominant, but the clinical characteristics of these patients are still unclear. Methods: The clinical characteristics of severe COVID-19 patients requiring ventilator management were retrospectively investigated from January 2023 to December 2023. Results: Severe COVID-19 patients who received ventilator management accounted for 11 of 275 (4.2%) patients during the omicron variant period. Their mean age was 70.7 (51-85) years, and males were predominant. Ten of eleven (91.7%) patients were managed in the emergency department and had underlying diseases, including chronic lung/heart/kidney diseases and neurological diseases. However, only 4 of 11 (36.4%) had a clear history of vaccination. The patients showed a positive SARS-CoV-2 antigen titer of 3305.7 (12.9-20912). All 11 patients were treated with remdesivir and dexamethasone, and 5 (45.5%) also received sotrovimab. Pathogenic bacteria were isolated from 7 of 11 (63.6%) patients, and all 11 patients were treated with antibiotics. Only 3 of 11 (27.3%) patients were managed using extracorporeal membrane oxygenation (ECMO), but 9 of 11(81.8%) patients survived. Conclusions: These data suggest that severe COVID-19 patients who required ventilator management were less-vaccinated, elderly patients with underlying disease. These patients were treated successfully using antiviral agents, steroids, neutralizing antibodies, and antibiotics, with a few also treated using ECMO in the omicron era.
Commentary
Open Access December 03, 2024

Diabetes Nursing Education Its Implication Towards an Improved Quality of Life of Persons with Diabetes: A Systematic Review

Abstract Background: Diabetes is a chronic global health issue that requires effective management to improve patient outcomes and quality of life. Nursing education plays a critical role in empowering diabetic patients with self-management skills. Aim This systematic review evaluates the impact of diabetes-focused nursing education on patient outcomes and quality of life. Methods: This study [...] Read more.
Background: Diabetes is a chronic global health issue that requires effective management to improve patient outcomes and quality of life. Nursing education plays a critical role in empowering diabetic patients with self-management skills. Aim This systematic review evaluates the impact of diabetes-focused nursing education on patient outcomes and quality of life. Methods: This study uses PRISMA guidelines and a systematic approach to identify and evaluate relevant literature. Results and Discussion: Among the 14 studies reviewed, eight emphasized self-management education, while four incorporated multidisciplinary approaches. Findings consistently demonstrated that structured nursing education programs significantly improved self-management behaviors, glycemic control, and patient knowledge. For instance, nurse-led self-management programs resulted in substantial enhancements in self-care skills and diabetes-related knowledge. Moreover, interventions that combined health education with psychological support were particularly effective, leading to better blood glucose control and increased adherence to treatment. Studies that examined quality of life reported reductions in anxiety, improved lifestyle habits, and better overall self-management. These findings highlight the multifaceted benefits of nursing education, suggesting that structured, supportive programs positively impact both clinical and psychological aspects of diabetes care. Conclusion: The review emphasizes the value of comprehensive nursing education that integrates both clinical guidance and psychological support for holistic diabetes management. Implications: Ongoing professional development and culturally sensitive education programs are recommended to address the diverse needs of diabetic patients. Future research should investigate the long-term effects of nursing education and explore innovative strategies to enhance diabetes management outcomes.
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Systematic Review
Open Access April 29, 2024

Predictors of Patient Outcomes Associated with Transfer Status to Definitive Care Hospitals: A Study of Admitted Road Traffic Injured Patients in Two Major Trauma Hospitals in The Gambia

Abstract The Gambia uses the Primary Health Care model with no trauma response system. Trauma patients are transferred through multiple levels of health care facilities before definitive care hospitals. This study was conducted to identify predictors of injury factors associated with transfer. In this study, we examined characteristics of transferred patients compared to those directly admitted in [...] Read more.
The Gambia uses the Primary Health Care model with no trauma response system. Trauma patients are transferred through multiple levels of health care facilities before definitive care hospitals. This study was conducted to identify predictors of injury factors associated with transfer. In this study, we examined characteristics of transferred patients compared to those directly admitted in definitive care hospitals. The study was conducted in two major trauma hospitals in The Gambia. 251 road traffic injury (RTI) patients were either transferred (84%) from lower-level health centers or directly admitted (16%) to one of the study hospitals. Transferred patients were more likely to have been pedestrian/bicyclists (aOR = 1.81; 95% CI = 0.86 – 3.80). Administration of antibiotics was significantly associated with direct admit than transferred patients (aOR = 6.84; 95% CI = 2.38 – 19.68). Transferred patients were more likely to receive intravenous fluid compared to direct admits (aOR = 0.03; 95% CI = 0.01 – 0.08). The study results have implications for policies and planning in the healthcare setting in The Gambia and other LMICs with similar settings. Based on the findings of this study, it is essential that hospital management teams adapt to increasing reliance of RTI patients on lower-level healthcare facilities. The study results suggest increased burden on lower-level health care facilities. Efforts and resources should focus more on supporting lower-level facilities.
Article
Open Access April 25, 2024

Green spaces more adapted and resilient to the current and future climatic conditions in the south of Portugal (Algarve): Xerophytic gardens using xeromorphic succulents

Abstract Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a [...] Read more.
Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a preponderant role in the design of green spaces, where the demands mentioned above can only be achieved if we deviate from conventional landscape practices and develop holistic strategies of management and design of green spaces that integrate different areas of knowledge and not merely aesthetic issues. In this context, this work aims to develop more adapted and resilient landscaping practices to the current and future climatic conditions of the Algarve, thus reinventing the concept of landscaping in the south of Portugal. Thus, it will be of paramount importance to develop more sustainable, resilient and tolerant projects to worsening ecological conditions, particularly limitations associated with water availability. The xeromorphic succulents are a group of plants with mechanisms of tolerance to water stress and with very specific characteristics, being succulence one of the most relevant. Studies on these mechanisms are increasingly frequent, which may prove to be very advantageous in our adaptation to future climatic challenges. In addition, their ornamental potential is enormous, since their bold forms and colours are a veritable sensory explosion, which, combined with their morphological and physiological characteristics, make them the species of choice in the reconversion or creation of xerophytic gardens.
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Article
Open Access February 26, 2024

A Case of Early Initiation of Veno-venous Extracorporeal Membrane Oxygen in Morbid Obesity with Severe Legionella Pneumonia

Abstract We present a case of a critically ill patient with severe Legionella pneumonia complicated by morbid obesity (BMI ≥ 40 kg/m2) who was successfully treated with early initiation of veno-venous ECMO (V-V-ECMO) without any sequelae. The patient, a 48-year-old male, initially presented with symptoms of a sore throat, fever, significant fatigue, and decreased appetite. Upon diagnosis of [...] Read more.
We present a case of a critically ill patient with severe Legionella pneumonia complicated by morbid obesity (BMI ≥ 40 kg/m2) who was successfully treated with early initiation of veno-venous ECMO (V-V-ECMO) without any sequelae. The patient, a 48-year-old male, initially presented with symptoms of a sore throat, fever, significant fatigue, and decreased appetite. Upon diagnosis of severe pneumonia complicated by morbid obesity, he was transferred to our hospital for further management. Upon admission, he was promptly intubated and placed on mechanical ventilation. Due to a positive urinary Legionella antigen test indicating a risk of deterioration, V-V ECMO was initiated immediately after intubation. During ECMO support, the patient received Levofloxacin Hydrate at 500 mg/day and Prednisolone Sodium Succinate at 100 mg/day. He was successfully weaned off ECMO after 12 days and transferred back to the referring hospital on day 20. While ECMO therapy for morbidly obese patients was traditionally considered relatively contraindicated, this case suggest that obesity alone is not a contraindication to initiating ECMO.
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Case Report
Open Access January 03, 2024

Inflammatory Bowel Disease associated with Intestinal Malrotation

Abstract Intestinal malrotation is an embryological abnormality modifying the classic anatomy of the small and large bowels, particularly the topographical one. Inflammatory bowel disease (IBD) is characterised by anatomical lesions with preferential intestinal tropism. These two conditions are rarely associated. They represent a real diagnostic and therapeutic challenge due to the overlap of non-specific [...] Read more.
Intestinal malrotation is an embryological abnormality modifying the classic anatomy of the small and large bowels, particularly the topographical one. Inflammatory bowel disease (IBD) is characterised by anatomical lesions with preferential intestinal tropism. These two conditions are rarely associated. They represent a real diagnostic and therapeutic challenge due to the overlap of non-specific symptoms and the complexity of the clinical management. We report the case of a young woman presenting with a flare-up of her IBD and a partial common mesentery syndrome. Clinicians should be aware of the potential pitfalls of the two entities to propose the adequate therapeutic strategy regarding the full understanding of the anatomy, notably when surgery is needed.
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Case Report
Open Access November 10, 2023

Bioremediation of Heavy Metals in Crude Oil-Contaminated Utisol, Using Nutrient Formulate Produced from Jatropha tanjorensis Leaf Extract

Abstract This work evaluated the bioremediation potential of Jatropha tanjorensis leaf extract at different masses (250g, 500g and 750g) over a 40-day period. To achieve this, crude oil contamination of sandy loam soil was stimulated in twelve plastic reactors containing fixed masses of soil (4kg each) of topsoil homogenized with 500g of Bonny light crude oil. The Jatropha tanjorensis leaves were cultivated, rinsed with distilled water, blended, and purified by filtration. The leaf extract was applied at the stated concentrations including a control reactor (without leaf extract). The plastics reactors were kept in an open air shielded away from rainfall. The physicochemical characteristics determined were particle size distribution (PSD), potential of hydrogen (pH), electrical conductivity (EC), organic matter (OM), organic carbon (OC), selected heavy metals (Cr, Cd, Zn, Pb) and sample management were all in line with standard procedure. After 40 days of treatment, results obtained showed that plastic reactor with 750g of leaf extract produced the highest amount of cadmium reduction of 97% (from an initial of and there was significant difference among treatment (P < 0.05). The sequence of reduction among treatment was 750g > 500g > 250g of the leaf extract. Chromium, Lead and zinc followed similar trend. Thus, the Jatropha tanjorensis [...] Read more.
This work evaluated the bioremediation potential of Jatropha tanjorensis leaf extract at different masses (250g, 500g and 750g) over a 40-day period. To achieve this, crude oil contamination of sandy loam soil was stimulated in twelve plastic reactors containing fixed masses of soil (4kg each) of topsoil homogenized with 500g of Bonny light crude oil. The Jatropha tanjorensis leaves were cultivated, rinsed with distilled water, blended, and purified by filtration. The leaf extract was applied at the stated concentrations including a control reactor (without leaf extract). The plastics reactors were kept in an open air shielded away from rainfall. The physicochemical characteristics determined were particle size distribution (PSD), potential of hydrogen (pH), electrical conductivity (EC), organic matter (OM), organic carbon (OC), selected heavy metals (Cr, Cd, Zn, Pb) and sample management were all in line with standard procedure. After 40 days of treatment, results obtained showed that plastic reactor with 750g of leaf extract produced the highest amount of cadmium reduction of 97% (from an initial of and there was significant difference among treatment (P < 0.05). The sequence of reduction among treatment was 750g > 500g > 250g of the leaf extract. Chromium, Lead and zinc followed similar trend. Thus, the Jatropha tanjorensis leaf extract has the potential to ameliorate crude oil-contaminated soil.
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Article
Open Access October 31, 2023

Effectiveness of Probiotics for Treatment of COVID-19: A Systematic Review and Meta-analysis

Abstract Background: Recently specific interactions and crosslinks between the gut microbiota and the lungs have been recognized, particularly with regard to respiratory immune and anti-microbial reactions. This is often known as the “gut-lung axis” or “a common mucosal immunological system”. Objective: The aim of the current systematic review was to evaluate evidence, from published clinical trials and cohort studies, if probiotics may have an effect in improving and managing COVID-19 symptoms. Materials and methods: The available studies were searched through a comprehensive search of electronic databases that included PubMed, Science Direct, Scirus, ISI Web of Knowledge, Google Scholar and CENTRAL (Cochrane Central Register of Controlled Trials), using a combination of the following keywords: “COVID-19" OR [...] Read more.
Background: Recently specific interactions and crosslinks between the gut microbiota and the lungs have been recognized, particularly with regard to respiratory immune and anti-microbial reactions. This is often known as the “gut-lung axis” or “a common mucosal immunological system”. Objective: The aim of the current systematic review was to evaluate evidence, from published clinical trials and cohort studies, if probiotics may have an effect in improving and managing COVID-19 symptoms. Materials and methods: The available studies were searched through a comprehensive search of electronic databases that included PubMed, Science Direct, Scirus, ISI Web of Knowledge, Google Scholar and CENTRAL (Cochrane Central Register of Controlled Trials), using a combination of the following keywords: “COVID-19" OR "SARS-CoV-2" AND "Microbiota" OR "Probiotics” OR “Gut Lung Axis”. The literature was reviewed until August 31, 2022. Results: Only 3 studies were included. One of them evaluated the efficacy of probiotics in COVID-19 patients to obtain complete remission of all signs and symptoms. The clinical trial proves that probiotics have a significant effect on complete remission of all signs and symptoms of COVID-19 patients with statistical significant difference. Only one clinical trial out of the 3 included studies had evaluated the need for O2 therapy during the study between the probiotics and control groups, but without statistical significant difference. No statistical significant difference between the probiotics group and placebo group was observed regarding fatal prognosis during the only clinical trial that measured death as an outcome. Conclusion: We couldn’t judge on these results as they are insufficient data for pooling and meta-analysis. However, what we can say is “Most probably Probiotics have no role in treatment of COVID-19 infection”.
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Meta-Analysis
Open Access October 31, 2023

Role of Probiotics and Colchicine in COVID-19 Management?

Abstract Background: Coronavirus disease 2019 (COVID-19) is a newly emerging human disease caused by a novel coronavirus, causing a global pandemic crisis. Probiotics and/or colchicine may be considered as options for treatment since they have anti-viral, anti-inflammatory, and immunomodulatory effects. The aim of the current review was to assess the effectiveness of probiotic supplements and [...] Read more.
Background: Coronavirus disease 2019 (COVID-19) is a newly emerging human disease caused by a novel coronavirus, causing a global pandemic crisis. Probiotics and/or colchicine may be considered as options for treatment since they have anti-viral, anti-inflammatory, and immunomodulatory effects. The aim of the current review was to assess the effectiveness of probiotic supplements and colchicine on symptoms, duration, and progression of mild and moderate cases of COVID-19 infection. Review: A randomized, double-blind, placebo-controlled trial in the United States with 182 participants who were randomly assigned to receive daily oral probiotic (Lactobacillus rhamnosus) LGG or placebo for 28 days. The study indicated that LGG is well-tolerated and is associated with a delay in the onset of COVID-19 infection, a reduction in the incidence of symptoms, and alterations in the structure of the gut microbiome when administered as post-exposure prophylaxis within seven days of exposure. Colchicine may lessen mortality and the need for mechanical ventilation in mild-to-moderate COVID-19 patients, according to a systematic review and meta-analysis. Conclusion: Probiotics and/or colchicine may be viable treatment options for COVID-19 patients. To examine the efficacy of probiotics and colchicine in the treatment of COVID-19, it is necessary to conduct additional clinical trials and provide clinicians with evidence, as there are currently insufficient studies to support this conclusion.
Brief Review
Open Access October 10, 2023

Anaphylaxis and Cardiogenic Pulmonary Edema due to Non ST Elevation Myocardial Infarction NSTEMI: A Case Report

Abstract Anaphylaxis can be associated with hemodynamic shock, which requires the early initiation of adrenaline as part of its management. Cardiogenic pulmonary edema is a frequent entity in emergency services with increased mortality in patients with acute coronary syndrome. The case report presents the case of a 55-year-old male patient who entered the emergency department with a non-ST-segment [...] Read more.
Anaphylaxis can be associated with hemodynamic shock, which requires the early initiation of adrenaline as part of its management. Cardiogenic pulmonary edema is a frequent entity in emergency services with increased mortality in patients with acute coronary syndrome. The case report presents the case of a 55-year-old male patient who entered the emergency department with a non-ST-segment elevation myocardial infarction (NSTEMI) associated to pulmonary edema and anaphylaxis. During his stay in the emergency room, he had an anaphylactic reaction to dipyrone (metamizole) used for pain control. The patient presented signs of acute pulmonary edema, a hypertensive urgency after the use of adrenaline for the management of anaphylaxis.  There was doubt as to whether the dyspnea was of anaphylactic or cardiogenic origin, so an emergency ultrasound was performed, which suggested a bilateral pattern B.  This allowed timely management of ventilatory failure with systemic nitrates, diuretics, and oxygen therapy, which controlled blood pressure and resolved ventilatory failure. Subsequently, he was transferred to an institution with a hemodynamic service for the management of NSTEMI. We highlight the utility of emergency ultrasonography for immediate decision-making and the low prevalence of anaphylactic reaction in a patient with NSTEMI leading to acute pulmonary edema.
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Case Report
Open Access October 07, 2023

A Systematic Review of Observational Studies Focusing on Impact of Telehealth Consultation in Osteoporosis Management during the Pandemic

Abstract Background: The COVID-19 pandemic disrupted routine osteoporosis care due to clinic closures and limited in-person consultations. Telehealth emerged as an alternative model enabling remote care delivery and monitoring. However, previous reviews on telehealth either did not include the pandemic period or had a limited focus in scope. Evidence synthesized specifically for osteoporosis care [...] Read more.
Background: The COVID-19 pandemic disrupted routine osteoporosis care due to clinic closures and limited in-person consultations. Telehealth emerged as an alternative model enabling remote care delivery and monitoring. However, previous reviews on telehealth either did not include the pandemic period or had a limited focus in scope. Evidence synthesized specifically for osteoporosis care during the pandemic is needed but lacking. Methods: We systematically searched PubMed, MEDLINE, EMBASE, PsycINFO, Web of Science, and CINAHL for studies on telehealth for osteoporosis published between January 2021 and March 2023. Five studies met the inclusion criteria of: osteoporosis population, telehealth intervention, and COVID-19 pandemic timeframe. Data was extracted on study characteristics, COVID-19 outcomes, osteoporosis status, telehealth purpose, patient satisfaction, and clinical outcomes. Result: The five studies showed telehealth was used for monitoring data, delivering test results, adjusting medications, and assessments. Osteoporosis prevalence among telehealth users ranged 30-100%. High patient satisfaction was reported with telehealth versus in-person care. No major differences occurred in medication delays or fractures between telehealth and in-person groups. Conclusion: This review found telehealth enables effective osteoporosis care and monitoring during the pandemic, with high patient and provider satisfaction. However, more robust randomized controlled trials are needed to establish stronger evidence around telehealth's impacts on clinical osteoporosis outcomes. Implications: Though promising, further high-quality studies will help clarify telehealth's role in improving osteoporosis care and outcomes. Findings inform guidelines on integrating telehealth into routine management. Evidence on user perspectives optimizes telehealth implementation policies.
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Systematic Review
Open Access September 19, 2023

Differential Complete Blood Count for Diagnosis of COVID-19?

Abstract Background: The World Health Organization (WHO) has declared COVID-19 a public health emergency of international concern. In this context, effective and affordable diagnostic procedures are essential for identifying and managing cases. Complete blood counts (CBC) are among the most common and readily available diagnostic tests. The current study aimed to evaluate the efficacy of CBC in [...] Read more.
Background: The World Health Organization (WHO) has declared COVID-19 a public health emergency of international concern. In this context, effective and affordable diagnostic procedures are essential for identifying and managing cases. Complete blood counts (CBC) are among the most common and readily available diagnostic tests. The current study aimed to evaluate the efficacy of CBC in diagnosing COVID-19 and identifying cases. Patients and Methods: A case-control study was conducted on 173 patients at Ain Shams University Hospitals over a period of three months. Patients were allocated into two groups according to COVID-19 PCR results: Group 1 included patients with COVID-19 positive PCR, and Group 2 included patients with COVID-19 negative PCR. Results: The study found that differential CBC had significant value in diagnosing COVID-19 disease. Many COVID-19 patients had lymphopenia and leucopenia compared to non-COVID-19 suspected patients. The low values of leukocytes, neutrophils, lymphocytes, and eosinophils with a CBC test were found to be valuable in the initial diagnosis of COVID-19. Conclusion: The definitive diagnosis of COVID-19 requires RT-PCR analysis, which is time-consuming and less accessible. Thus, the initial diagnosis and treatment of patients may be delayed. This study suggests that CBC, which is easily available and affordable, can be valuable in the early identification of COVID-19 cases, allowing for prompt treatment and management.
Article
Open Access September 17, 2023

Knowledge and practice of diabetic foot prevention among diabetic patients attending Edward Francis Small Teaching Hospital, Banjul, The Gambia: an institutional-based cross-sectional study

Abstract Background: The increasing prevalence of Diabetes Mellitus (DM) is closely tied to complications, particularly diabetic foot ulcers, which significantly raise the risk of lower extremity amputations due to infected, non-healing ulcers. This study aimed to assess diabetic foot prevention knowledge, practices and associated factors among patients at the Edward Francis Small Teaching Hospital [...] Read more.
Background: The increasing prevalence of Diabetes Mellitus (DM) is closely tied to complications, particularly diabetic foot ulcers, which significantly raise the risk of lower extremity amputations due to infected, non-healing ulcers. This study aimed to assess diabetic foot prevention knowledge, practices and associated factors among patients at the Edward Francis Small Teaching Hospital (EFSTH), Banjul. Methods: In this cross-sectional study, we employed a convenience sampling technique to enroll 357 diabetic patients, both inpatients and outpatients, who were under the care of EFSTH. Data on diabetic foot prevention were collected through semi-structured interviews conducted by trained interviewers. Statistical analyses were carried out using SPSS, encompassing descriptive analysis, chi-square, Fisher exact tests, and logistic regression. Statistical significance was set at p<0.05, with a 95% confidence interval. Results: The mean age of the respondents was 47.3 years (±10.5), with women comprising 55.2% of the study population and 94.4% were married. About 73% demonstrated good knowledge of diabetic foot care and prevention, while 25.8% exhibited fair knowledge. A significant association was observed in bivariate analysis with patients’ educational level (P = 0.032). Specifically, patients with Madarasa (Arabic) education had a 68% lower likelihood 【aOR: 0.320, 95% CI: (0.103, 0.992), p = 0.048】 of practicing diabetic foot care and prevention compared to those with tertiary education. Conclusion: The study revealed that participants’ knowledge of preventing diabetic foot was high. However, the practice was poor. Therefore, there is a need for more health education on the practices that would emphasize diabetes management among diabetes patients.
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Article
Open Access September 13, 2023

A Comparative Study of Attention-Based Transformer Networks and Traditional Machine Learning Methods for Toxic Comments Classification

Abstract With the rapid growth of online communication platforms, the identification and management of toxic comments have become crucial in maintaining a healthy online environment. Various machine learning approaches have been employed to tackle this problem, ranging from traditional models to more recent attention-based transformer networks. This paper aims to compare the performance of attention-based [...] Read more.
With the rapid growth of online communication platforms, the identification and management of toxic comments have become crucial in maintaining a healthy online environment. Various machine learning approaches have been employed to tackle this problem, ranging from traditional models to more recent attention-based transformer networks. This paper aims to compare the performance of attention-based transformer networks with several traditional machine learning methods for toxic comments classification. We present an in-depth analysis and evaluation of these methods using a common benchmark dataset. The experimental results demonstrate the strengths and limitations of each approach, shedding light on the suitability and efficacy of attention-based transformers in this domain.
Article
Open Access September 04, 2023

Management of Severe Acute Respiratory Syndrome-Corona Virus-2 infection in the Principality of Monaco

Abstract Background: This work is a report of the present situation and management of Corona Virus (CoV) infection in the Principality of Monaco. Methods: To comply with the practices adopted by the World Health Organization (WHO) and neighboring Countries in this area, residents infected by CoV are the object of this health report. The Prince’s Government also communicates the data relating to [...] Read more.
Background: This work is a report of the present situation and management of Corona Virus (CoV) infection in the Principality of Monaco. Methods: To comply with the practices adopted by the World Health Organization (WHO) and neighboring Countries in this area, residents infected by CoV are the object of this health report. The Prince’s Government also communicates the data relating to screening. These are stopped at Sunday January 1st included. Results: The results of this survey point out how this infection is still active in Monaco, although not at the emergency levels of 2020. Conclusions: These results call for not leaving prevention measures, both primary (vaccine) and secondary (personal protective equipment [PPE], social distancing, etc.) adopted until now and which gave so good results.
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Open Access August 18, 2023

ETCS as an Effective Tool to enable HRM to fulfill the Requirements of CSR in the Field of Employee Training: An Innovative Design and Specific Requirements

Abstract Purpose: There are specific requirements to fulfill CSR in the field of the training function, which can be deduced through a deep understanding of the meaning of CSRs (specifically, economic and ethical responsibilities). Those requirements must be included in the Electronic Training Card System (ETCS) to enable HRM in large organizations to adhere to its social responsibilities in the [...] Read more.
Purpose: There are specific requirements to fulfill CSR in the field of the training function, which can be deduced through a deep understanding of the meaning of CSRs (specifically, economic and ethical responsibilities). Those requirements must be included in the Electronic Training Card System (ETCS) to enable HRM in large organizations to adhere to its social responsibilities in the field of the employee training function. Therefore, this study aims to identify the needs of CSR in the field of training function and indicate how to include them in ETCS, in addition to identifying the necessary requirements for adopting of ETCS in business establishments. Method: The researcher adopted the following two concepts: 1) The concept of optimal use of economic resources (corporate economic responsibility); 2) The concept of fair opportunities for all (corporate ethical responsibility) in describing and specifying the items of criteria for measuring the effectiveness and efficiency of HRM in performing its job duties in the field of training. To design ETCS and include those requirements ″ items″ in it, the researcher relied on his diligence and skill in the field of designing electronic systems. Results: The study identified items of criteria for measuring the effectiveness and efficiency of HRM in performing its job duties in the field of training in a manner consistent with the requirements of CSR. The study was also able to design ETCS that will enable HRM to fulfill the requirements of CSR in employee training and determine the requirements for its application in institutions. Originality/Value: According to the researcher's vision, ETCS proposed in this study will enable HRMs in business institutions to adhere to their CSRs in the field of employee training- especially economic and ethical, because of its harmonious design with CSRs requirements.
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Open Access July 06, 2023

Health condition of palm trees of Mexico City, with an emphasis on “crowns”

Abstract The government of Mexico City carried out the introduction of palm trees in the 50s to increase the visual appearance of the main avenues. As a result of introduction of these exotic species, phytosanitary problems appeared. Currently there is scarce information on how to evaluate the health of these majestic monocots, in this sense, it is necessary to implement assessment scales to determine the [...] Read more.
The government of Mexico City carried out the introduction of palm trees in the 50s to increase the visual appearance of the main avenues. As a result of introduction of these exotic species, phytosanitary problems appeared. Currently there is scarce information on how to evaluate the health of these majestic monocots, in this sense, it is necessary to implement assessment scales to determine the health condition of the most frequently found species to advance on their care and management. The present study had the following objectives: 1) To determine the current state of health of palm trees by means of a scale of visual evaluation of the crown; 2) To know the diversity and structural characteristics of palm trees and 3) To determine the influence of composite variables on the ecosystem services such as the amount of shade provided. Health of palm trees were evaluated two times (dry and rainy seasons in 2022) on 35 transects of 200 m length. An imaginary circle divided into twelfths was overlapped on palm tree “crowns”, and through it, two absolute variables, Live Crown Ratio (LCR) and Crown Quality (CQ) were evaluated. Composite variables were also calculated. The 12/12 health scale adapted in the present study was useful. Four health categories were obtained for the Live crown ratio (LCR): 7.62% of the palm trees were in critical condition, 7.80% were in intermediate condition, 80.36% were in normal condition, and 4.20% were in excellent condition. Meanwhile, for crown quality (CQ), the percentages were 13.50%, 20.00%, 56.96% and 0.43%, respectively. The total height and “crown” diameter showed a positive correlation with the volume composite variables. The shadow area projected as an important ecosystem service increased as the health of the palm trees improved. This is the first study on palm trees health assessment in Mexico City.
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Open Access May 10, 2023

Knowledge of Obstetric Warning Signs and Associated Risks among Saudi Pregnant Women

Abstract Women must be aware of the risk factors of pregnancy complications and the negative maternal and fetal health consequences to take preventative measures and management strategies that will result in a successful pregnancy. This study aimed to assess the Level of Knowledge about obstetric warning signs and the associated factors among pregnant Saudi women attending antenatal care in a tertiary care [...] Read more.
Women must be aware of the risk factors of pregnancy complications and the negative maternal and fetal health consequences to take preventative measures and management strategies that will result in a successful pregnancy. This study aimed to assess the Level of Knowledge about obstetric warning signs and the associated factors among pregnant Saudi women attending antenatal care in a tertiary care maternity set-up in Riyadh City. Data for this cross-sectional study were obtained using a structured questionnaire from eligible pregnant women admitted to King Saud Medical City (KSMC) between August 2020 and March 2021. Data were analyzed using descriptive and inferential statistics. Out of a minimum estimated sample size of 170, researchers recruited 362 participants. As observed, only 92 people, or 25.4%, had enough knowledge about various educational levels. The majority (91.2%) lived in villages, had no history of chronic disease (74.0%), and said that it took them at least 30 minutes to commute from their home to the hospital (69.3%). Two hundred two (55.7%) lacked appropriate knowledge, although most women (76.2%) had one to four pregnancies. Poor psychological health resulted from 37 people's (10.2%) inadequate Awareness. Even though 139 (38.4%) had spent more than 15 minutes receiving education from medical staff and 200 (61.5%) had attended the prenatal care clinic more than four times, most lacked adequate knowledge. The variables education level (P=0.000), working status (P=0.022), and place of residence (P=0.044) showed a statistically significant association with the knowledge level, also only education level statistically significantly affected the likelihood of knowledge gaps. In conclusion, early identification of obstetric warning signs and associated risk factors of pregnancy complications is integral to prevention.
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Open Access May 06, 2023

Socioeconomic Drivers of Conservation Commitment: Residents’ Willingness to Pay for Ecosystem Services Provided by Beaches in Lagos State, Nigeria

Abstract Beaches are known for their ability to provide people with several services – these are generally referred to as ‘ecosystem services’ and they have been identified as one of the ways through which nature relates to humans. However, beaches in Nigeria are challenged by mismanagement caused by anthropogenic factors. It is expected that people will demonstrate a certain amount of dedication to [...] Read more.
Beaches are known for their ability to provide people with several services – these are generally referred to as ‘ecosystem services’ and they have been identified as one of the ways through which nature relates to humans. However, beaches in Nigeria are challenged by mismanagement caused by anthropogenic factors. It is expected that people will demonstrate a certain amount of dedication to protecting this ecosystem to address this issue. Sometimes, a person's commitment to conservation is based on the advantages they anticipate or are currently experiencing from the ecosystem, which are a result of their socioeconomic traits. Against this backdrop, this study captured individuals’ commitment as their Willingness to Pay (WTP) for these ecosystem services, assessed their level of awareness of the various ecosystem services provided by beaches and investigated the impact of socioeconomic factors on participants’ willingness to pay. Data were collected using a structured questionnaire and a total of 221 responses were analyzed using descriptive statistics, logistic regression and content analysis. The results revealed that the cultural service provided by beaches was the most common ecosystem service identified by the participants. Furthermore, most of the participants were willing to pay less than $3 for beach maintenance while the major determinants of WTP were age, household size and education. This study recommended that the government should work with other stakeholders to set up programs that would boost people’s awareness of ecosystem services provided by beaches as well as reiterate the need to maintain this ecosystem to ensure continued enjoyment of the services provided.
Article
Open Access April 28, 2023

Evaluation of the Incidences of Risk Occurrence and Severity in PPP-Procured Mass Housing Projects (PPP-MHPs) in Abuja, Nigeria

Abstract Risks in Public Private Procurement mass housing project (PPP-MHP) initiatives are emerging and this requires early risk identification and allocation to achieve the goal and sustenance of the scheme. The study, being a follow-up of a Delphi survey, elicits the opinion of respondents on the probability of occurrence and severity of identified risks in PPP-MHPs in Nigeria. The study adopts a [...] Read more.
Risks in Public Private Procurement mass housing project (PPP-MHP) initiatives are emerging and this requires early risk identification and allocation to achieve the goal and sustenance of the scheme. The study, being a follow-up of a Delphi survey, elicits the opinion of respondents on the probability of occurrence and severity of identified risks in PPP-MHPs in Nigeria. The study adopts a quantitative research design approach by administering structure questionnaire survey on identified PPP-MHPs partners in Abuja, Nigeria. Data analysis was performed using descriptive and inferential statistical tools such as Mean item score (MIS), standard deviation, and Kruskal Wallis analytical techniques with the aid of SPSS software packages. The findings show that all the listed risk factors were found to be extremely high, very high, high, or moderate in terms of occurrence while all the listed risk factors recorded a very high level of severity on the delivery of PPP-MHPs. The top ten (10) risk factors frequently associated with PPP-MHPs are non-availability of finance, high finance cost, non-involvement of the host community, poor execution of housing policies, corruption and lack of respect for law, wrong perception of housing need by low-income earners, Illegal title to land, land acquisition and site availability, level of demand for the mass housing projects and unstable value of local currency. The respondents differs significantly on 29 risk factors in terms of occurrence and 40 risk factors in term of severity. The study, therefore, recommends that risk management culture should be highly encouraged among the PPP Partners in the sector. The study intends to enumerate the rate of occurrence of some itemized risk factors and their severities on the delivery of PPP – procured mass housing projects in Nigeria and the need to bookmark these risk factors in ensuring the sustainability of the PPP mass housing scheme.
Article
Open Access April 11, 2023

Healthcare Management Challenges and Opportunities during COVID Pandemic

Abstract This review aimed to analyze some problems and challenges that emerged from the COVID-19 pandemic since it has affected all global business sectors. During the pandemic, remote work was increased in response to social distance requirements to decrease the transmission of disease. In addition, increased delegation, teamwork, supply chains, sales activities, and business operations have all been [...] Read more.
This review aimed to analyze some problems and challenges that emerged from the COVID-19 pandemic since it has affected all global business sectors. During the pandemic, remote work was increased in response to social distance requirements to decrease the transmission of disease. In addition, increased delegation, teamwork, supply chains, sales activities, and business operations have all been disrupted. Many challenges have emerged in the management of organizations due to the pandemic including the lack of direct contact as the lockdown made many people work from home and placed restrictions on movement and travel and uncertainty about the future. The healthcare system was also affected by the COVID-19 pandemic and faced several difficulties including increased demand for medical supplies and personal protective equipment, a greater need for nurses and other skilled healthcare professionals, and increased pressure on healthcare facilities, emergency services, and critical care departments. These challenges have created some opportunities in the management systems of healthcare organizations and other sectors. It is recommended for leaders prepare and continuously work proactively to be ready for unexpected future crises. Risk management and planning for any unexpected situation are among the very important aspects of organizational management.
Brief Review
Open Access January 14, 2023

Searching for What You Can’t See - Evaluation of Pesticide Residues in Grain Sold at Selected Markets of Southwest Nigeria

Abstract Studies on the use of pesticides in southwest Nigeria have revealed a substantial rise in a variety of pesticide-related illnesses, including mental impairment and reproductive problems. Those who work in agriculture and are regularly exposed to pesticides are the most impacted. The World Health Organization (WHO) predicts that three million severe pesticide poisoning episodes occur globally each [...] Read more.
Studies on the use of pesticides in southwest Nigeria have revealed a substantial rise in a variety of pesticide-related illnesses, including mental impairment and reproductive problems. Those who work in agriculture and are regularly exposed to pesticides are the most impacted. The World Health Organization (WHO) predicts that three million severe pesticide poisoning episodes occur globally each year, with at least 300.000 deaths and 99% of cases occurring in low- and middle-income nations. The effects of longer-term exposure to pesticides on health are not yet precisely estimated. Objectives: To this end, the objective of this study is to assess the knowledge of pesticide residues and common pesticides in grain-based food (brown and white beans, yellow and white maize, brown millet and rice) about pesticide use in selected markets of Southwest Nigeria. Methods: A total of 240 respondents were selected from four states (Ado-Ekiti, Ibadan, Osun and Ondo) with the aid of structured questionnaire and interview guide using purposive sampling technique. The markets were Oja-titun (market) Ile-Ife, Osun; Alesinloye Market Ibadan, Oyo; Oja Oba, Ado-Ekiti, Ekiti; and Oja Oba, Akure Ondo State. The identification and quantification of pesticide residues was done using a Varian 3800/4000 gas chromatograph mass spectrometer while 60 structured questionnaires were administered to respondents including food merchants, buyers/consumers as well as food vendors. Data were analysed using descriptive statistics. Results: The experiment was conducted from November 2020 to November 2021. Up to 50.4% never read instructions on pesticide application while a shared 24.8% read them always and occasionally. The number of respondents who never read the instructions were particularly high in Ekiti and Ondo, up to 52.5% of the respondents in Ekiti do not know whether or not they are exposed to pesticides during application. Also, majority of the respondents never attended any professional training on pesticide application, this amounted to 79.3%. Most people were not aware that unsafe pesticide application is harmful to human health. Similarly, a wide variety of symptoms were reported by respondents following pesticide application or consumption of grains, these included headaches and dizziness, itching and redness of the eyes, skin allergy, diarrhea, and stomach disorder, vomiting and loss of appetite, weakness of the body, asthma, permanent skin patches, shortness of breath, excessive sweating. Millet recorded the highest number of OCP residues while maize had the lowest. On the contrary, maize had the highest number of OPP and carbamate residues while millet had the lowest number of OPP residues. Meanwhile, maize, rice and beans had only one carbamate pesticide residue. Conclusions: According to the study's conclusions, farmers who can only get information from agricultural extension officials should receive urgent and immediate attention for raising awareness. Additionally, extensive IPM training programs must be created with the intention of disseminating precautions for protecting human health and a healthy agro-ecosystem. In order to find more effective pest management methods that utilize less pesticides, it is crucial to reevaluate the pesticide residues and common pesticides found in grains in the targeted markets. To reduce farmers' exposure to pesticides, it is also required to establish personal protective measures, special educational initiatives, and legislation promoting the use of safer pesticides. Significance and novelty: This study gives policymakers a comprehensive understanding of the ways that may be utilized to close the significant knowledge gap on pesticide residues in grains and provides an insight into the knowledge of pesticide residues and common pesticides in grains.
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Open Access December 16, 2022

A Framework for the Application of Optimization Techniques in the Achievement of Global Emission Targets in the Housing Sector

Abstract The building construction industry holds a crucial role in the reduction of greenhouse gas emissions globally. The targets for greenhouse gas emissions may not be achieved without a defined strategic plan to meet up with the set targets from various sectors of the economy. Recognizing the enormous potential that the building industry holds in contributing to global greenhouse gas GHG emission [...] Read more.
The building construction industry holds a crucial role in the reduction of greenhouse gas emissions globally. The targets for greenhouse gas emissions may not be achieved without a defined strategic plan to meet up with the set targets from various sectors of the economy. Recognizing the enormous potential that the building industry holds in contributing to global greenhouse gas GHG emission reduction, this study describes a framework on how optimization techniques can be used as a guide for emission reduction targets for the housing sector using illustrations of the onsite and offsite building construction industry. Given that some of the GHG gases are also sources of air pollution, this study includes a discussion on how the effort to address air pollution can be used to find a consensus towards addressing the concern about GHG emissions. This study presents procedures for simplified methods of estimation of GHG emissions that various municipalities around the globe can use to estimate and report the emissions from the building construction industry. The study presents a unifying strategy for emission management. The study also demonstrates how programming methods can be applied to GHG emissions management. The approach used in this study is transferable to other industries. The study recommends a unifying strategy for the management and control of emissions in the building construction industry. The study also recommends a coordinated effort in sharing best practices for emission control and management from all jurisdictions globally. In the effort to reduce global emission targets, further studies like this and its expansion is recommended for all sectors of the global economy. It is recommended that these studies should be followed by a concrete effort to achieve good implementation of sustainable emission reduction targets globally.
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Open Access September 29, 2022

Anthyllis hermanniae L. subsp. brutia Brullo & Giusso (Fabaceae): population survey and conservation tasks

Abstract Anthyllis hermanniae subsp. brutia, is an Italian endemic shrub occurring just in one locality by the Calabrian Ionian coast in southern Italy. Objective of this study is to provide data on population numbers, demography and ecology, as well as to identify the main threats on the long term conservation of the target taxon. The survey has been carried out through field census work, sampling biometric and dendrometric data, and applying simple statistics. The population, counting totally 962 individuals, is divided in two stands concentrated in the central part of the distribution area. It is restricted to a narrow belt on the inland part of the dune slope encompassed between an artificial pine forest at the dune top, and the dune-specialized vegetation on the slope. Some biometric insights, such as stem diameter, plant height and number of annual rings, suggest the role of micro-ecology in individual shaping. The most relevant threating factor for the long term conservation of this rare taxon is the rapidly spreading Pinus halepensis subsp. halepensis. Local population of this invasive alien species, deriving from planted individuals, is now invading the A. hermanniae subsp. brutia [...] Read more.
Anthyllis hermanniae subsp. brutia, is an Italian endemic shrub occurring just in one locality by the Calabrian Ionian coast in southern Italy. Objective of this study is to provide data on population numbers, demography and ecology, as well as to identify the main threats on the long term conservation of the target taxon. The survey has been carried out through field census work, sampling biometric and dendrometric data, and applying simple statistics. The population, counting totally 962 individuals, is divided in two stands concentrated in the central part of the distribution area. It is restricted to a narrow belt on the inland part of the dune slope encompassed between an artificial pine forest at the dune top, and the dune-specialized vegetation on the slope. Some biometric insights, such as stem diameter, plant height and number of annual rings, suggest the role of micro-ecology in individual shaping. The most relevant threating factor for the long term conservation of this rare taxon is the rapidly spreading Pinus halepensis subsp. halepensis. Local population of this invasive alien species, deriving from planted individuals, is now invading the A. hermanniae subsp. brutia habitat. Chorological and ecological data here provided should hopefully steer further population dynamics investigation as well as any urgent environment management actions.
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Open Access March 11, 2022

Isolated Distal Deep Vein Thrombosis in the Direct Oral Anticoagulant (DOAC) Era – Should Our Management Change?

Abstract Objectives: There remains no consensus management for isolated distal deep vein thrombosis (IDDVT), with current data inconclusive and dating back to the warfarin era. In the current direct oral anticoagulant (DOAC) era, optimal management of IDDVT needs to be re-assessed. Methods: A retrospective evaluation of patients treated with therapeutic anticoagulation for IDDVT in the DOAC [...] Read more.
Objectives: There remains no consensus management for isolated distal deep vein thrombosis (IDDVT), with current data inconclusive and dating back to the warfarin era. In the current direct oral anticoagulant (DOAC) era, optimal management of IDDVT needs to be re-assessed. Methods: A retrospective evaluation of patients treated with therapeutic anticoagulation for IDDVT in the DOAC era (2013-2016) was compared with historically published data from the warfarin era (2011-2012). Results: 247 patients were evaluated, 103 from the DOAC era and 122 from the warfarin era. There were less provoked events in the DOAC cohort (45.6% vs 66.7%, p=<0.01). Overall rate of major bleeding was 1.6% with 1.0% in the DOAC era and 2.1% in the warfarin era (p=0.50). There was no difference in rates of VTE progression on treatment 5.8% vs 4.9% respectively (p=0.91). Overall risk of VTE recurrence post cessation was 5.3% (1.86 per 100 person years) with no difference between groups (5.8% vs 4.9%, p=0.74). Conclusions: Our data shows IDDVT is not always benign, with risk of extension despite treatment and long-term risk of VTE-recurrence. Therapeutic anticoagulation with DOAC in these patients was associated with a major bleeding rate of 1.0% in the DOAC cohort. Further clinical trials into the optimal IDDVT management in the DOAC era are necessary.
Article
Open Access June 21, 2021

The rising role of age stratification in sleep and CPAP therapy adherence in elderly population

Abstract Proper and effective management of obstructive sleep apnea (OSA) in elderly patients represents an important yet under-researched therapeutic target. Therefore, the main purpose of our research was to employ age stratification to analyse sleep quality and sleep fragmentation, the daily sleepiness, OSA severity and CPAP compliance in elderly. Conforming to the inclusion criteria of minimum 70 years [...] Read more.
Proper and effective management of obstructive sleep apnea (OSA) in elderly patients represents an important yet under-researched therapeutic target. Therefore, the main purpose of our research was to employ age stratification to analyse sleep quality and sleep fragmentation, the daily sleepiness, OSA severity and CPAP compliance in elderly. Conforming to the inclusion criteria of minimum 70 years of age at the time of polysomnography and CPAP titration night a total number of 162 elderly patients was included, median age 73,00±4 (MED±IQR). The comparison group consisted of 448 adult subjects under the age of 70 years old, median age 54,00±14,00 (MED±IQR). Sleep fragmentation in elderly was promoted to suboptimal CPAP adherence, as the probability of CPAP use ≥ 4 hours per day was less than 20%. Overall CPAP compliance hours in the elderly group achieved 3,991±3,804 hours/day with bigger variation in between the subjects versus 5,547±3,465 hours/day for the controls, (MED±IQR, p<0,001). Despite naturally occurring sleep fragmentation worsened by OSA, less than 30% of elderly patients would score ≥ 10 points on Epworth sleepiness scale. The study emphasizes acute need for standardized age-specific diagnostic tools to address different perception of daily drowsiness and sleepiness by older people. Further, it underlines the importance of early recognition of possible comorbid OSA and insomnia and suggest paying more attention to “non-obese phenotype” in the subgroup of elderly patients with suspected OSA. Elderly patients might also need development of more flexible CPAP compliance criteria; however, those must be standardized and objective.
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Open Access June 12, 2021

Prolonged Sitting Posture: Massage and Physical Exercise Program as Effective Therapy in 45 Sedentary Officers using Their Vehicles Full Time

Abstract The high prevalence of low back pain associated with prolonged sitting as a result of work demands, is a major public health problem. Added to this is the sedentary lifestyle and full-time use of vehicles, keeping workers in this seated position. We now know the many benefits of regular exercise and physical activity. Inactivity is considered a risk factor associated with the development of lower [...] Read more.
The high prevalence of low back pain associated with prolonged sitting as a result of work demands, is a major public health problem. Added to this is the sedentary lifestyle and full-time use of vehicles, keeping workers in this seated position. We now know the many benefits of regular exercise and physical activity. Inactivity is considered a risk factor associated with the development of lower back pain. We undertook this study to make subjects aware of the consequences of this posture. In addition, we wanted to help them relieve lower back pain and functional disability caused by prolonged sitting posture. To achieve this, we have set ourselves the goal of assessing the effect that the combination of a physical exercise program and massage with shea butter could have on lumbar pain and functional disability in inactive sedentary officials with full-time lumbar pain driving their vehicles. To achieve this goal, we brought together 45 subjects divided into three experimental groups. The results show that the group receiving the combination of an exercise and massage program with shea butter, experienced a significant decrease in pain and functional disability over the 6 weeks. Thus, the combination of an exercise and massage program with shea butter allows effective management of pain and functional disability in inactive sedentary officials.
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Open Access June 07, 2021

Long term data on obstructive sleep apnea treatment in insomnia and anxiety related disorders - importance in the post-covid19 era?

Abstract Patients with comorbid neurotic and anxiety disorders are more receptive of the discomfort accompanying continuous positive airway pressure therapy than average obstructive sleep apnea patients. The purpose of the study was to analyze short-term and long-term continuous positive airway pressure therapy adherence data of patients with obstructive sleep apnea and comorbid anxiety and stress-related [...] Read more.
Patients with comorbid neurotic and anxiety disorders are more receptive of the discomfort accompanying continuous positive airway pressure therapy than average obstructive sleep apnea patients. The purpose of the study was to analyze short-term and long-term continuous positive airway pressure therapy adherence data of patients with obstructive sleep apnea and comorbid anxiety and stress-related dyssomnias, as this group of disorders is expected to rise in the post-covid era. Study retrospectively analyzed clinical outcomes of obstructive sleep apnea patients. All subjects with obstructive sleep apnea were diagnosed based on in-lab video polysomnography, further referred to CPAP titration and were invited for regular follow-up visits. The results showed that subjects with comorbid obstructive sleep apnea and anxiety-related disorders used ventilation therapy more hours per day (6,690 hours/day vs. 5,000 hours/day, ****p<0,0001, anxiety (n=19) vs. controls (n=60)). Patients from the anxiety group remained longer in our therapy program (7,086 years vs. 2,905 years, ****p<0,0001) and had markedly better control over their weight, as the body-mass index of the control group increased by +1,065 kg/m2 per year and the body-mass index in the examination group increased only by +0,296 kg/m2 every year. Our data document that obstructive sleep apnea patients on ventilation therapy, who do not have enough control over their increasing body weight might highly benefit from therapy approaches similar to patients with anxiety-related dyssomnias and that management of obstructive sleep apnea is not an obstacle in concomitant treatment of neurotic and anxiety-related dyssomnias.
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Open Access June 16, 2021

Impact of Pandemic Covid-19 on Higher Education-Indian Context

Abstract Education stratum of India as well as world are worst-hit by Covid-19 and has imposed lockdown originating deleterious effect on academic life. A sheer number of learners ceased moving educational institutions and all pedagogies halted in India. Catastrophe has behaved as a stimulant for the educational institutions to cultivate and choose for platforms with technologies which were previously [...] Read more.
Education stratum of India as well as world are worst-hit by Covid-19 and has imposed lockdown originating deleterious effect on academic life. A sheer number of learners ceased moving educational institutions and all pedagogies halted in India. Catastrophe has behaved as a stimulant for the educational institutions to cultivate and choose for platforms with technologies which were previously noviced. Education sector has been challenging to weather the crux with alternative strategy and digitizing the challenges to hoover the menaces of the pandemic. Hypothesis of digital study has prognosis to impact the ventures of higher education for eon. Findings evince that despite digital learning is a nice adventure for little skills, varying illiberalities partake. Learners are crunched and academy also exclusively in unstable job. It has yet to be established the scope whereupon digital study would climactically cover for conventional study. Covid-19 conundrum has divulged prefacing dilemma and disparities clamoring synergetic attempt to contemplate even so pandemic’s approach. This deliberate paper illuminates sparse impeccable education in India and has discussed the positive and negative impacts of Covid-19. The paper also contributes a methodical substantiation of the experience and lessons digested from the impact of the pandemic on the transitional education panorama, and the dissemination and acceptance of e-learning in education. To end, few suggestions along with policy recommendations have been made to meet didactics during the pandemic contingency.
Article
Open Access June 08, 2021

The Influence of Emotional Intelligence on Leadership Style at Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar

Abstract The purpose of this research is: 1. To determine the description of emotional intelligent and leadership style in the Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar. 2. To determine the influence of emotional intelligent to leadeship style in the Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar. The research uses literature research design [...] Read more.
The purpose of this research is: 1. To determine the description of emotional intelligent and leadership style in the Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar. 2. To determine the influence of emotional intelligent to leadeship style in the Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar. The research uses literature research design and field research. The population in this study were all administrative employee at in the Integrated Service Unit (UPT) Regional Revenue Management in Pematangsiantar, emounted to 42 employees. The type of data used are qualitative data and quantitative data. Sources of data used are primary and secondary. The data were collected through questionnaries, interviews and documentation. Test of instrument used with validity test and reliability test. The analysis technique used are normality test, qualitative descriptive analysis and quantitative descriptive analysis. The result of this study can be summarized as follows: 1. Emotional intelligent and leadership style are good. 2. Emotional intelligent have positive effect on leadership style. 3. Emotional intelligent heve moderately corelation with leadership style then the level of leadership style can be explained by emotional intelligent. 4. H0 is rejected, meaning that emotional intelligent has positive and significantly to leadership style. The suggestions of this research are: 1. To make leadership style, the leaders should be provided opportunities for employee to be more independently in making decisions both individually or in grups. 2. To enhance emotional intelligent, the leaders should record data of employee to know their skill, knowledge or work experience
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Open Access March 05, 2026

For My Family, I Take It’: A Phenomenological Study of Antihypertensive Medication Use Among Filipino Adults

Abstract Hypertension remains a leading cause of cardiovascular morbidity and mortality. Although effective antihypertensive therapies are available, sustained blood pressure control remains suboptimal due to inconsistent medication use. Most adherence research is quantitative and offers limited understanding of how individuals interpret lifelong treatment within daily life, particularly in culturally [...] Read more.
Hypertension remains a leading cause of cardiovascular morbidity and mortality. Although effective antihypertensive therapies are available, sustained blood pressure control remains suboptimal due to inconsistent medication use. Most adherence research is quantitative and offers limited understanding of how individuals interpret lifelong treatment within daily life, particularly in culturally grounded contexts. To explore the lived experiences of Filipino adults taking antihypertensive medication. A qualitative study grounded in Heideggerian interpretive phenomenology was conducted. Ten Filipino adults diagnosed with hypertension were purposively recruited from outpatient clinics in Manila, Philippines. In-depth semi-structured interviews were transcribed verbatim and analyzed using the six-step IPA framework. Analysis revealed six interconnected themes describing how participants interpreted and sustained medication use: (1) Diagnosis as Disruption; (2) Medication as Protection and Responsibility; (3) The Paradox of the Silent Illness; (4) Everyday Barriers to Sustained Treatment; (5) Constructing Routine and Adaptive Self-Management; and (6) Family as Anchor within Cultural Contexts. These themes reflected emotional adjustment, symptom-driven adherence, financial and work-related barriers, adaptive coping strategies, and strong family-centered motivation. Medication-taking was experienced as an ongoing negotiation shaped by bodily cues, daily demands, and relational obligations. Conclusion: Antihypertensive medication use is shaped by relational, cultural, and socioeconomic contexts, underscoring the need for family-inclusive and culturally responsive hypertension care.
Article
Open Access February 16, 2026

Tuberculosis among elderly patients: diagnostic and therapeutic challenges (2020-2024)

Abstract Background: Tuberculosis (TB) in the elderly poses significant diagnostic and therapeutic challenges due to immunosenescence, comorbidities, and atypical clinical presentation. This study evaluates the epidemiological and clinical characteristics of TB in patients aged ≥65 years. Methods: A retrospective descriptive study was conducted including all TB cases reported between 2020 and [...] Read more.
Background: Tuberculosis (TB) in the elderly poses significant diagnostic and therapeutic challenges due to immunosenescence, comorbidities, and atypical clinical presentation. This study evaluates the epidemiological and clinical characteristics of TB in patients aged ≥65 years. Methods: A retrospective descriptive study was conducted including all TB cases reported between 2020 and 2024. Data from the National Tuberculosis Program were analyzed for demographic characteristics, clinical form, bacteriological confirmation, comorbidities, and treatment outcomes. Results: Of 1,335 TB cases, 352 (26.4%) occurred in individuals aged ≥65 years. Pulmonary TB accounted for 80.7% of cases. Men represented 63.4% of patients, and 56.8% lived in urban areas. Bacteriological confirmation was achieved in 82% of pulmonary cases, and treatment success exceeded 85%. Diabetes mellitus (26.5%) and arterial hypertension (31%) were the most common comorbidities. An increase in TB cases was observed in the post-COVID-19 period. A significant association was found between age and clinical form of TB (p < 0.001). Conclusions: Elderly individuals constitute a substantial proportion of TB cases and frequently present with chronic comorbidities. Despite diagnostic challenges, favorable treatment outcomes were achieved, highlighting the need for integrated and early management strategies in this population.
Brief Report
Open Access January 16, 2026

Evaluating the Effectiveness of Occupational Health and Safety Management Practices in Improving Workplace Safety in Nigerian Construction Sites

Abstract The construction industry remains one of the most hazardous sectors globally, with Nigeria experiencing a high incidence of workplace accidents despite the adoption of Occupational Health and Safety Management (OHSM) frameworks. This study evaluated the effectiveness of OHSM practices in improving workplace safety across construction companies in Nigeria’s coastal cities. A cross-sectional design [...] Read more.
The construction industry remains one of the most hazardous sectors globally, with Nigeria experiencing a high incidence of workplace accidents despite the adoption of Occupational Health and Safety Management (OHSM) frameworks. This study evaluated the effectiveness of OHSM practices in improving workplace safety across construction companies in Nigeria’s coastal cities. A cross-sectional design was employed, combining quantitative surveys of construction workers (n = 1,400) with qualitative interviews of 35 managers and supervisors. Quantitative data were analyzed using SPSS version 28, while thematic analysis was applied to qualitative responses. Findings revealed a generally positive perception of OHSM, with 54.4% of workers rating OHS policy effectiveness as “Good” and 52.0% rating health outcomes as “Good.” However, accident frequency remained a concern, with 46.4% reporting accidents occurred “Occasionally” and 31.9% acknowledging them as “Frequent” or “Very Frequent.” Comparative analysis showed indigenous firms were rated higher in policy effectiveness and health outcomes but also reported slightly higher accident frequencies than international firms. Thematic analysis identified five key monitoring and evaluation strategies including routine inspections, regular training, audits, behavioural reinforcement, and access control, Also, five measures of OHSM effectiveness, including compliance observation, incident tracking, KPIs, employee feedback, and benchmarking. OHSM was found to positively influence project outcomes by reducing compensation costs, enhancing reputation, and improving supervision and quality of work. OHSM practices in Nigeria’s construction sector are perceived as effective in policy and health outcomes, yet accident rates remain a critical challenge. The study underscores the importance of continuous training, stricter enforcement, behavioural reinforcement, and systematic performance evaluation.
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Article
Open Access February 13, 2026

Integrated GIS and geotechnical assessment of the stability of the Oued Ayda dike (Kesra Siliana, Tunisia)

Abstract This study proposes an integrated approach combining geographic information systems (GIS) and geotechnical analyses to assess the stability of the Oued Ayda mountain lake dam, located in the Siliana Governorate, northwestern Tunisia. The mechanical properties of the embankment and foundation materials were integrated into a Mohr-Coulomb geomechanical model, while the pore water pressure [...] Read more.
This study proposes an integrated approach combining geographic information systems (GIS) and geotechnical analyses to assess the stability of the Oued Ayda mountain lake dam, located in the Siliana Governorate, northwestern Tunisia. The mechanical properties of the embankment and foundation materials were integrated into a Mohr-Coulomb geomechanical model, while the pore water pressure distribution was simulated for various representative hydromechanical scenarios: end of construction, normal operation, rapid drainage, and short- and long-term empty reservoir conditions. The stability analysis, performed using the Morgenstern-Price method with the SLOPE/W software (GeoStudio), reveals high safety factors on the upstream side (SF > 3 in the short term and SF ≥ 2 in the long term), indicating good resistance of this slope to hydraulic and mechanical stresses. Conversely, the results show that the downstream slope exhibits significantly lower safety factors, ranging from 1.335 to 1.338 under long-term conditions, particularly during normal operating and rapid drainage scenarios. These reduced values indicate a high vulnerability of this slope to persistent saturation and adverse hydraulic gradients. In conclusion, although the dam exhibits satisfactory overall stability, the downstream slope remains the most vulnerable area of the structure. The results underscore the need for rigorous management of water level fluctuations and suggest reinforcing the drainage system or implementing targeted stabilization measures to ensure the long-term safety and durability of the structure.
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Article
Open Access January 31, 2026

Management of Placenta Accreta Spectrum Disorders: A Prospective Single-Centre Experience of 236 Cases in Riyadh, Saudi Arabia (2018–2024)

Abstract Objective: To evaluate maternal and neonatal outcomes of women with placenta accreta spectrum (PAS) disorders managed by a dedicated multidisciplinary team at a tertiary referral centre in Riyadh, Saudi Arabia. Methods: We conducted a prospective case series of all women with antenatally suspected and intraoperatively or histopathologically confirmed PAS managed at King Fahad Medical [...] Read more.
Objective: To evaluate maternal and neonatal outcomes of women with placenta accreta spectrum (PAS) disorders managed by a dedicated multidisciplinary team at a tertiary referral centre in Riyadh, Saudi Arabia. Methods: We conducted a prospective case series of all women with antenatally suspected and intraoperatively or histopathologically confirmed PAS managed at King Fahad Medical City between April 2018 and December 2024. Women with high suspicion of PAS were electively admitted at 31+6 weeks’ gestation for optimisation when feasible and delivered by midline laparotomy and fundal or classical caesarean incision with the placenta left in situ. Definitive management consisted of hand-assisted retrograde caesarean hysterectomy or segmental uterine resection with reconstruction. Outcomes included operative time, quantified blood loss, transfusion requirements, intra- and postoperative complications, intensive care unit (ICU) admission, hospital stay, and neonatal morbidity. Results: A total of 236 women with confirmed PAS were managed. Median maternal age was 36 years and placenta previa coexisted in 86.9%. Elective caesarean delivery at 34+0–35+6 weeks occurred in 72.0%, whereas 28.0% required emergency delivery for haemorrhage or labour. Caesarean hysterectomy was performed in 85.2% and conservative segmental uterine resection in 14.8%. Median operative time was 135 minutes and median blood loss 4.3 L; the median transfusion requirement was six units of packed red blood cells. Intraoperative complications occurred in 27.1%, most commonly bladder injury (14.8%). One woman (0.4%) died intraoperatively from disseminated intravascular coagulation with intracardiac thrombosis. ICU admission was required in 66.0%. Neonatal intensive care unit admission occurred in 53.0%, mainly because of prematurity; there were no neonatal deaths. Conclusion: Centralised multidisciplinary management of PAS with planned delivery at 34–35 weeks, avoidance of placental removal, and use of retrograde hysterectomy or segmental resection can minimise haemorrhage and maternal mortality while maintaining acceptable neonatal outcomes in a high-volume referral centre.
Article
Open Access January 19, 2026

Mature Cataract, A Veil Concealing, A Pachychoroid Spectrum: About Two Cases

Abstract The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris [...] Read more.
The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris and thinning of Sattler's layer [1, 2]. At present, the pachychoroid spectrum includes well-known pathologies such as central serous chorioretinitis (CSCR) and polypoidal choroidal vasculopathy (PCV), as well as pathologies of more recent description such as epitheliopathy or type 1 neovessels secondary to pachychoroid, pachydrusen, choroidal excavation and peripapillary pachychoroid. The morphological changes of the lens which is a cataract can be unilateral or bilateral and occur symmetrically or not over variable durations. A cataract is said to be mature when the opacification occupies the entire lens, it induces a complete loss of vision. It makes the visualization of the fundus reflection impossible, which explains the impossibility of visualizing hemorrhages and other lesions of the eye with the possibility of concealing a pachychoroid spectrum during the ocular examination in patients. The aim of our study is to describe the symptomatology and therapeutic approach of SPC.
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Case Report
Open Access January 13, 2026

Principles and Practices of Transformative Online Doctoral Mentoring—A Mentor’s Perspective

Abstract An effective mentor is critical to the success of an online doctoral student. Researchers have found that online doctoral students prefer frequent interactions with their mentor, while faculty prefer mentees to be autonomous. Transformative online doctoral mentoring (ODM) requires the development of a strong collaborative working relationship between the mentee and mentor, who serves as the link [...] Read more.
An effective mentor is critical to the success of an online doctoral student. Researchers have found that online doctoral students prefer frequent interactions with their mentor, while faculty prefer mentees to be autonomous. Transformative online doctoral mentoring (ODM) requires the development of a strong collaborative working relationship between the mentee and mentor, who serves as the link between the student and academia, as well as their guide and working partner throughout the dissertation process. In this paper, I argue that the ultimate objective of ODM, the establishment of such a relation-ship between mentor and mentee, increases the likelihood of student success. I support this contention with a set of principles and practices grounded in relevant models and methods of human development, participative leadership, and collaborative change management that provide insights into the what, why, and how of transformative ODM.
Article
Open Access January 07, 2026

Pre-eclampsia’s Hidden Risk: Sudden Postpartum Bilateral Serous Retinal Detachment with Complete Visual Recovery

Abstract Introduction: Severe pre-eclampsia is a multisystem disorder associated with various ocular complications, however postpartum bilateral serous retinal detachment is uncommon and may threaten vision if not early recognized, thus requiring prompt management in order to prevent permanent visual loss. Clinical Description: A case of a 31-year-old woman, G3P0 with an in vitro [...] Read more.
Introduction: Severe pre-eclampsia is a multisystem disorder associated with various ocular complications, however postpartum bilateral serous retinal detachment is uncommon and may threaten vision if not early recognized, thus requiring prompt management in order to prevent permanent visual loss. Clinical Description: A case of a 31-year-old woman, G3P0 with an in vitro fertilization and previous miscarriages, developed severe pre-eclampsia at 34 weeks of gestation. She underwent an emergency cesarean section for maternal indication. On the second postoperative day, she develops sudden unilateral blindness and blurred vision in the contralateral eye. Ophthalmological examination showed normal optics discs while MRI revealed bilateral serous retinal detachment. She was managed conservatively with strict blood pressure control, magnesium sulphate therapy and anticoagulation with full recovery of vision over 3 weeks without need of surgical intervention. Discussion: Postpartum retinal detachment is uncommon, most often serous and reversible. This case highlights that conservative management focusing on strict blood pressure control and supportive care was sufficient to avoid surgical intervention. Timely diagnosis and coordinated multidisciplinary management ensured complete visual recovery. Conclusion: Bilateral serous retinal detachment is a rare but reversible postpartum complication of severe pre-eclampsia. With early recognition, close monitoring and conservative management can lead to complete restoration of vision.
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Case Report
Open Access December 28, 2025

Acute Right Ovarian Torsion with Six Twists: Successful Ovarian Preservation Following Detorsion

Abstract Introduction: Ovarian torsion is a rare gynecological emergency that can result in permanent ovarian loss if not promptly recognized and managed. Cases involving multiple rotations of the ovary are highly unusual and pose a significant risk for ovarian viability. Clinical Description: A 33-year-old P2 woman presented with sudden severe lower abdominal pain. Imaging showed a complex [...] Read more.
Introduction: Ovarian torsion is a rare gynecological emergency that can result in permanent ovarian loss if not promptly recognized and managed. Cases involving multiple rotations of the ovary are highly unusual and pose a significant risk for ovarian viability. Clinical Description: A 33-year-old P2 woman presented with sudden severe lower abdominal pain. Imaging showed a complex midline adnexal mass, more towards left and mild free fluid with suspected torsion. Emergency laparotomy showed a sixfold torsion of the right ovary with a dermoid cyst. Detorsion and cystectomy were performed with preservation of the ovary. Postoperative recovery was uneventful and histopathology further confirmed a benign dermoid cyst. Discussion: Ovarian torsion with multiple rotations is extremely rare so early recognition and timely surgical intervention enable ovarian salvage even in severe cases. Moreover, Dermoid cysts are the most common predisposing factor. Conclusion: This case highlights the importance of prompt diagnosis and immediate management of ovarian torsion to prevent complications, preserve ovarian integrity and fertility.
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Case Report
Open Access December 09, 2025

Hidden Malignancy in Pregnancy: Metastatic Adenocarcinoma of Colon Disguised as Liver Hemangioma Leading to Maternal Mortality

Abstract Introduction: Colorectal cancer during pregnancy is a complex and rare condition often presenting with benign gastrointestinal symptoms that overlap with normal pregnancy related changes, leading to delayed or misdiagnosis. Further, hepatic metastases may complicate recognition, especially when initially interpreted as benign lesions such as hemangiomas. So, early identification and [...] Read more.
Introduction: Colorectal cancer during pregnancy is a complex and rare condition often presenting with benign gastrointestinal symptoms that overlap with normal pregnancy related changes, leading to delayed or misdiagnosis. Further, hepatic metastases may complicate recognition, especially when initially interpreted as benign lesions such as hemangiomas. So, early identification and management are crucial and remain challenging for optimizing maternal and fetal outcomes. Clinical Description: A case of 39-year-old gravida 5 para 4 at 24 weeks+1 day with chronic hypothyroidism, longstanding anemia and a one year history of epigastric + right upper quadrant pain with suspected hemorrhage from a known liver hemangioma. Further imaging suggested a malignant hepatic lesion where colonoscopy and biopsy confirmed stage IV metastatic colon adenocarcinoma with liver and adrenal metastases. Her condition deteriorated and delivered a stillborn infant at 26 weeks of 780 grams following placental abruption. She continued to decline despite supportive care and died. Conclusion: This case illustrates the diagnostic challenges of colorectal cancer in pregnancy where nonspecific symptoms and inaccurate imaging results contributed to delayed diagnosis. The aggressive nature of the disease emphasizes the importance of prompt diagnosis and integrated care approach to improve both maternal and fetal outcome.
Case Report
Open Access November 09, 2025

Application of Building Information Modelling (BIM) for Enhancing Safety and Environmental Performance on Construction Sites in Nigeria

Abstract Background: Building Information Modelling (BIM) improves safety planning in construction by enabling visualization and simulation to identify and reduce risks. However, its adoption in Nigeria is limited. This study examines the application of BIM in enhancing safety and environmental performance on construction sites in Nigeria. Methodology: A quantitative cross-sectional survey [...] Read more.
Background: Building Information Modelling (BIM) improves safety planning in construction by enabling visualization and simulation to identify and reduce risks. However, its adoption in Nigeria is limited. This study examines the application of BIM in enhancing safety and environmental performance on construction sites in Nigeria. Methodology: A quantitative cross-sectional survey was conducted using a structured online questionnaire distributed to professionals in Nigeria’s construction industry. A purposive sampling method was employed to target respondents with relevant BIM experience. Data were analysed using SPSS version 28, applying descriptive statistics, chi-square tests, and logistic regression at a 5% significance level. Result: Findings show that BIM was fully adopted by 7.0% of organizations, with only 19.8% of respondents using it to identify safety hazards during planning. While 76.8% reported no notable safety benefit, 19.5% identified improved risk management as the key benefit. Most respondents (80.2%) reported no noticeable environmental benefits. Among those who did, improved energy efficiency was the most cited benefit (16.4%). Respondents with 10 or more years of experience were significantly more likely to report enhanced safety and environmental outcomes (AOR = 4.555; p = 0.003) and adequate BIM utilization (AOR = 3.255; p = 0.023). Those with intermediate BIM experience were also more likely to report high enhancement (AOR = 2.857; p = 0.039) and effective tool use (AOR = 2.881; p = 0.050). Conclusion: This study revealed that BIM has the potential to improve construction outcomes in Nigeria if supported by training, experience, and structured implementation.
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Article
Open Access October 14, 2025

Research Development of Disease Pain in Elderly Patients with Type 2 Diabetes

Abstract This paper describes the current status of research on disease distress in elderly type 2 diabetic patients at home and abroad, with a view to developing targeted interventions for diabetic patients, improving self-management behavioral ability and quality of life in elderly type 2 diabetic patients, and improving patients' glycemic control.
This paper describes the current status of research on disease distress in elderly type 2 diabetic patients at home and abroad, with a view to developing targeted interventions for diabetic patients, improving self-management behavioral ability and quality of life in elderly type 2 diabetic patients, and improving patients' glycemic control.
Review Article
Open Access September 14, 2025

Lifecycle Management as a Roadmap to the Tobacco Endgame

Abstract Background: Tobacco endgame, defined as elimination of commercial tobacco sales The U.S. tobacco control landscape is a complex, adaptive system shaped by diverse stakeholders, evolving products and regulations, shifting social norms, and the strategic countermeasures of a powerful industry. Managing such complexity requires more than isolated interventions—it demands a coordinated, [...] Read more.
Background: Tobacco endgame, defined as elimination of commercial tobacco sales The U.S. tobacco control landscape is a complex, adaptive system shaped by diverse stakeholders, evolving products and regulations, shifting social norms, and the strategic countermeasures of a powerful industry. Managing such complexity requires more than isolated interventions—it demands a coordinated, enterprise-wide approach that accounts for dynamic interactions, feedback loops, and emergent risks. Objective: Drawing on complex systems thinking, Zachman enterprise architecture model, and public health best practices, we conceptualize tobacco control as an evolving enterprise progressing through six interconnected phases: (1) Conception & Initiation, (2) Policy & System Design, (3) Implementation & Operation, (4) Evaluation & Adaptation, (5) Consolidation & Endgame Transition, and (6) Sustainment or Sunset. Each phase incorporates governance structures, performance benchmarks, and transition criteria designed to manage interdependence and reduce systemic vulnerabilities. Results: The lifecycle framing emphasizes how tobacco control in the U.S. can evolve as a complex, adaptive enterprise—integrating public health objectives with legal, operational, and cultural change processes. This model supports strategic sequencing, cross-sector alignment, and risk mitigation against emergent industry tactics, enabling a resilient and measurable pathway to the endgame. Conclusions: Seeing tobacco control as a complex enterprise that operates under a lifecycle model may offer a roadmap for achieving and sustaining the tobacco endgame. Using this approach may enhance policy coherence, resource efficiency, and adaptability, ensuring tobacco endgame is achieved.
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Article
Open Access September 04, 2025

Evidence-Based Protocols for the Prevention and Treatment of Prosthetic Joint Infection in Total Hip Arthroplasty: A Systematic Review

Abstract Objective: This systematic review aimed to identify, synthesize, and critically analyze the available evidence on clinical protocols used for the prevention and treatment of prosthetic joint infection (PJI) in total hip arthroplasty (THA), based on studies published between 2000 and 2025. Methods: The review was conducted according to PRISMA guidelines. Electronic searches were performed in PubMed (MEDLINE), Scopus, Web of Science, and Embase between January and April 2025. Eligible studies included clinical trials, cohort studies, case-control studies, systematic reviews, and meta-analyses published in English that addressed either preventive or therapeutic strategies for PJI in THA. Study selection, data extraction, and quality assessment were carried out independently by two reviewers. Due to the heterogeneity of the included studies, a qualitative synthesis was performed. Results: A total of 32 studies were included. Preventive measures identified in the literature comprised combined antibiotic prophylaxis (cefazolin and gentamicin), multimodal perioperative protocols such as ACERTO, nasal decolonization for Staphylococcus aureus [...] Read more.
Objective: This systematic review aimed to identify, synthesize, and critically analyze the available evidence on clinical protocols used for the prevention and treatment of prosthetic joint infection (PJI) in total hip arthroplasty (THA), based on studies published between 2000 and 2025. Methods: The review was conducted according to PRISMA guidelines. Electronic searches were performed in PubMed (MEDLINE), Scopus, Web of Science, and Embase between January and April 2025. Eligible studies included clinical trials, cohort studies, case-control studies, systematic reviews, and meta-analyses published in English that addressed either preventive or therapeutic strategies for PJI in THA. Study selection, data extraction, and quality assessment were carried out independently by two reviewers. Due to the heterogeneity of the included studies, a qualitative synthesis was performed. Results: A total of 32 studies were included. Preventive measures identified in the literature comprised combined antibiotic prophylaxis (cefazolin and gentamicin), multimodal perioperative protocols such as ACERTO, nasal decolonization for Staphylococcus aureus, silver-impregnated dressings, and structured post-discharge surveillance. Treatment strategies included DAIR (Debridement, Antibiotics, and Implant Retention), the DAPRI technique, one-stage and two-stage revision surgeries, muscle flap reconstructions, and protocols without spacers. These interventions were associated with significantly reduced infection rates and improved clinical outcomes when applied appropriately and in accordance with patient-specific factors. Conclusion: Effective prevention and treatment of PJI in total hip arthroplasty require a systematic and evidence-based approach. Integrated protocols—spanning preoperative optimization, meticulous intraoperative techniques, and rigorous postoperative monitoring—have proven effective in reducing infection incidence. In cases of established infection, surgical management must be tailored to the timing of infection, microbial profile, and host conditions. Two-stage revision remains the gold standard for complex infections, while one-stage revision and emerging techniques like DAPRI offer promising results in selected cases. This review contributes to the standardization of clinical practice and supports improved patient outcomes.
Systematic Review
Open Access August 22, 2025

Status Epilepticus in Sub-Saharan Africa: A Literature Review on Epidemiological Challenges, Socio-Cultural Barriers, and Public Health Impact

Abstract This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this [...] Read more.
This literature review delves deeply into the epidemiology, structural and cultural challenges, and management strategies of status epilepticus (SE) in sub-Saharan Africa (SSA). Incidence rates of SE vary significantly between countries, with notable disparities associated with socio-economic contexts, healthcare infrastructures, and cultural perceptions of epilepsy. The management of SE in this region is often hindered by constraints in medical infrastructure, inadequate access to specialist diagnostics such as electroencephalogram, and limited availability of essential anti-epileptic drugs, which are frequently out of reach for rural populations. These challenges are further exacerbated by the social stigma and cultural beliefs surrounding epilepsy, impeding access to care and widening inequalities. Moreover, the scarcity of qualified medical personnel undermines the efficient and prompt management of this neurological emergency. The review underscores the pressing need to enhance healthcare infrastructures, boost the capabilities of healthcare professionals, and conduct community awareness initiatives to destigmatize epilepsy and lessen prejudice. Additionally, practical recommendations are put forward for enhancing local capacity, fostering equity in care access, and mitigating regional health disparities in SSA.
Literature Review
Open Access July 22, 2025

Avian influenza management at bedside in Japan

Abstract Avian influenza is a very lethal disease caused by influenza viruses that normally circulate among birds, and contains well-known subtypes are A(H5N1) and A(H7N9). Human infection is rare and occurs through close contact with infected poultry, therefore, confirming a history of such contact is important. The same treatment as for seasonal influenza is recommended, such as the neuraminidase [...] Read more.
Avian influenza is a very lethal disease caused by influenza viruses that normally circulate among birds, and contains well-known subtypes are A(H5N1) and A(H7N9). Human infection is rare and occurs through close contact with infected poultry, therefore, confirming a history of such contact is important. The same treatment as for seasonal influenza is recommended, such as the neuraminidase inhibitors, cap endonuclease inhibitors, and RNA polymerase inhibitor. The avian influenza patients are regulated by the Infectious Diseases Control Law in Japan, we should manage the avian influenza appropriately.
Brief Review
Open Access May 20, 2025

Periprosthetic Joint Infections in Total Hip Arthroplasty: Diagnostic Advances, Treatment Algorithms, and Technological Innovations — A Comprehensive Review

Abstract Objective: This integrative review aims to critically examine the clinical management of periprosthetic joint infections (PJI) in total hip arthroplasty (THA), emphasizing decision-making strategies, diagnostic advancements, and therapeutic innovations. The study focuses on the complexity of infection control, microbial resistance, and individualized treatment planning. Methods: [...] Read more.
Objective: This integrative review aims to critically examine the clinical management of periprosthetic joint infections (PJI) in total hip arthroplasty (THA), emphasizing decision-making strategies, diagnostic advancements, and therapeutic innovations. The study focuses on the complexity of infection control, microbial resistance, and individualized treatment planning. Methods: A systematic review of the literature was conducted using PubMed, Scopus, Web of Science, and Google Scholar, targeting studies published between 2015 and 2025. Articles were selected based on their contribution to understanding the clinical, microbiological, and surgical aspects of PJI in THA. Fifty-five studies met the inclusion criteria and were analyzed descriptively. Results: PJI in THA is influenced by multifactorial risk profiles, including obesity, diabetes, and immunosuppression. Staphylococcus aureus, particularly MRSA, remains the most frequently isolated pathogen, followed by Gram-negative organisms and fungal species. Diagnostic innovations such as next-generation sequencing have enhanced pathogen detection, while two-stage revision remains the gold standard for chronic infections. Emerging strategies—such as antimicrobial coatings, tailored antibiotic protocols, and multidisciplinary care models—demonstrate promise in improving clinical outcomes. Conclusion: Managing PJI in THA necessitates a comprehensive and individualized approach, integrating early and accurate diagnosis, pathogen-specific treatment, and advanced preventive measures. The integration of emerging technologies and personalized care pathways is critical to optimizing outcomes and reducing the clinical and economic burden of PJI.
Review Article
Open Access April 10, 2025

Advancements in Pharmaceutical IT: Transforming the Industry with ERP Systems

Abstract The pharmaceutical industry is undergoing a profound transformation driven by advancements in Information Technology (IT), with Enterprise Resource Planning (ERP) systems playing a pivotal role in reshaping operations. These systems offer integrated solutions that streamline key business processes, such as production, inventory management, supply chain optimization, regulatory compliance, and data [...] Read more.
The pharmaceutical industry is undergoing a profound transformation driven by advancements in Information Technology (IT), with Enterprise Resource Planning (ERP) systems playing a pivotal role in reshaping operations. These systems offer integrated solutions that streamline key business processes, such as production, inventory management, supply chain optimization, regulatory compliance, and data integration, contributing significantly to operational efficiency and organizational agility. This paper explores the evolution and impact of ERP systems within the pharmaceutical sector, highlighting their contributions to overcoming the industry’s inherent challenges, including complex regulatory requirements, the need for accurate and real-time data, and the demand for supply chain resilience. The integration of cloud-based ERP solutions, the incorporation of emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), and enhanced data analytics capabilities have revolutionized pharmaceutical IT. These advancements not only reduce operational costs, improve forecasting accuracy, and enhance collaboration but also ensure compliance with stringent global regulations, such as Good Manufacturing Practices (GMP) and FDA guidelines. Moreover, ERP systems have been instrumental in managing the pharmaceutical supply chain, ensuring product traceability, and improving inventory control and order fulfillment processes. This manuscript examines how ERP systems enable pharmaceutical companies to maintain high standards of product quality, improve decision-making, and ensure the safety and efficacy of drugs through robust tracking and auditing mechanisms. A case study of a pharmaceutical company that implemented an ERP system demonstrates the tangible benefits, including increased operational efficiency, improved compliance rates, and enhanced customer satisfaction. However, despite the clear advantages, challenges such as customization complexities, data integration issues, and resistance to change remain. As the pharmaceutical industry continues to evolve, ERP systems will remain a cornerstone of digital transformation, facilitating smarter decision-making, better resource management, and enhanced collaboration across global operations. This paper also identifies future trends, including the potential of AI and blockchain technologies in further strengthening ERP systems and transforming the pharmaceutical landscape.
Review Article
Open Access March 29, 2025

Comprehensive Review of Conservative and Surgical Treatment Strategies for Knee Osteoarthritis: Efficacy, Safety, and Emerging Therapies

Abstract Knee osteoarthritis (KOA) is a chronic degenerative joint disorder that significantly impairs mobility and quality of life. While surgical interventions such as total knee arthroplasty (TKA) are effective in severe cases, conservative treatments are critical for early and intermediate disease management. This review evaluates the efficacy, safety, and clinical applications of both conservative and [...] Read more.
Knee osteoarthritis (KOA) is a chronic degenerative joint disorder that significantly impairs mobility and quality of life. While surgical interventions such as total knee arthroplasty (TKA) are effective in severe cases, conservative treatments are critical for early and intermediate disease management. This review evaluates the efficacy, safety, and clinical applications of both conservative and surgical treatment approaches, including lifestyle modifications, physical therapy, pharmacological interventions, regenerative medicine, and surgical procedures. The integration of a multidisciplinary approach is emphasized as a key strategy for optimizing clinical outcomes and tailoring interventions to disease severity.
Review Article
Open Access February 26, 2025

Innovations and Challenges in Pharmaceutical Supply Chain, Serialization and Regulatory Landscape

Abstract The pharmaceutical supply chain has become increasingly complex and vulnerable to various risks, including counterfeit drugs, diversion, and fraud. As these challenges threaten patient safety and the integrity of global healthcare systems, serialization has emerged as a pivotal innovation in pharmaceutical logistics and regulatory compliance. Serialization involves assigning unique identifiers to [...] Read more.
The pharmaceutical supply chain has become increasingly complex and vulnerable to various risks, including counterfeit drugs, diversion, and fraud. As these challenges threaten patient safety and the integrity of global healthcare systems, serialization has emerged as a pivotal innovation in pharmaceutical logistics and regulatory compliance. Serialization involves assigning unique identifiers to individual drug packages, enabling precise tracking and authentication at every stage of the supply chain. This process provides unprecedented transparency, enhances product security, and facilitates real-time monitoring of pharmaceutical products as they move from manufacturers to end consumers. Despite its potential to revolutionize pharmaceutical traceability, the integration of serialization technologies faces numerous obstacles. These include high implementation costs, regulatory inconsistencies across regions, and the technological challenges of managing vast amounts of data. Moreover, the complex, multi-tiered nature of the global supply chain introduces additional risks related to data integrity, cybersecurity, and interoperability between systems. As pharmaceutical companies seek to navigate these challenges, innovations in serialization technology—such as blockchain, artificial intelligence (AI), the Internet of Things (IoT), and radio frequency identification (RFID)—are providing promising solutions to enhance efficiency, reduce fraud, and increase visibility. This manuscript explores both the innovative advancements and the key challenges associated with the integration of serialization in the pharmaceutical supply chain. It delves into the evolving regulatory landscape, highlighting the need for global harmonization of serialization standards, and examines the impact of serialization on securing pharmaceutical distribution networks. Additionally, the paper emphasizes the importance of collaboration among manufacturers, technology providers, and regulatory bodies in overcoming implementation barriers and realizing the full potential of serialization. As the pharmaceutical industry moves towards a more interconnected and data-driven future, serialization promises to play a central role in shaping the next generation of drug safety and supply chain management. By addressing the hurdles to adoption and leveraging emerging technologies, the pharmaceutical sector can create a more secure, transparent, and efficient supply chain that better serves public health and fosters greater trust among consumers and healthcare professionals alike.
Review Article
Open Access January 22, 2025

Tech Transformations: Modern Solutions for Obstructive Sleep Apnea

Abstract Recent advancements in the screening, diagnosis, and management of obstructive sleep apnea (OSA) have significantly improved patient outcomes. For screening, the use of home sleep apnea testing (HSAT) has become more prevalent, offering a convenient and cost-effective alternative to traditional in-lab polysomnography. HSAT devices have shown good specificity and sensitivity, particularly in [...] Read more.
Recent advancements in the screening, diagnosis, and management of obstructive sleep apnea (OSA) have significantly improved patient outcomes. For screening, the use of home sleep apnea testing (HSAT) has become more prevalent, offering a convenient and cost-effective alternative to traditional in-lab polysomnography. HSAT devices have shown good specificity and sensitivity, particularly in patients with a high pre-test probability of OSA. In terms of diagnosis, advancements in wearable technology and mobile health applications have enabled continuous monitoring of sleep patterns and respiratory parameters. These tools provide valuable data that can be used to identify OSA more accurately and promptly. Additionally, machine learning algorithms are being integrated into diagnostic processes to enhance the accuracy of OSA detection by analyzing large datasets and identifying patterns indicative of the condition. Management of OSA has also seen significant progress. Continuous positive airway pressure (CPAP) therapy remains the gold standard, but new developments include auto-adjusting CPAP devices that optimize pressure settings based on real-time feedback. Mandibular advancement devices and hypoglossal nerve stimulation are emerging as effective alternatives for patients who are CPAP-intolerant. Furthermore, lifestyle interventions such as weight management, positional therapy, and exercise have been shown to complement medical treatments, leading to better overall outcomes. This review article highlights these advancements that collectively contribute to improved patient adherence, reduced symptoms, and enhanced quality of life for individuals with OSA.
Review Article
Open Access January 21, 2025

A Disaster Management Contingency and Training Plan for Nursing Service Personnel

Abstract Background: Disasters such as typhoons, floods, and earthquakes frequently impact the Philippines, placing nurses at the forefront of response and care. Given these recurring threats, ensuring that nurses possess adequate awareness, knowledge, and skills is crucial to mitigate risks, enhance preparedness, and promote effective disaster management. Aim/Objectives: This study sought to [...] Read more.
Background: Disasters such as typhoons, floods, and earthquakes frequently impact the Philippines, placing nurses at the forefront of response and care. Given these recurring threats, ensuring that nurses possess adequate awareness, knowledge, and skills is crucial to mitigate risks, enhance preparedness, and promote effective disaster management. Aim/Objectives: This study sought to (1) assess the current levels of awareness, knowledge, skills, and involvement of private hospital nurses in Rizal Province across four phases of disaster management—mitigation and prevention, preparedness, response, and rehabilitation and recovery; and (2) propose a contingency and training plan based on identified gaps. Methods: A descriptive correlational design was employed. A total of 350 nurses from Level 1, 2, and 3 hospitals participated by completing a validated questionnaire. Data were analyzed using descriptive statistics, analysis of variance, and correlation tests to identify differences and relationships among variables. Results: Overall, the nurses reported very high levels of awareness and skills, coupled with a high level of knowledge and significant involvement in disaster-related activities. Nurses in larger (Level 3) hospitals exhibited higher practical readiness and engagement, while those in Level 1 and 2 facilities had comparatively lower scores. Positive correlations emerged between higher levels of awareness, knowledge, and skills and increased engagement in disaster initiatives. Conclusion: Building on these findings, a targeted contingency and training plan was designed using Pucel’s Performance-based Instructional Design, emphasizing hands-on simulations, structured policy briefings, and collaborative efforts with local disaster risk reduction offices. Addressing these specific gaps can bolster hospital preparedness, strengthen community resilience, and ensure more effective disaster response and patient care.
Article
Open Access November 19, 2024

Influence of Physical Features of Housing Environment on Students Halls of Residence

Abstract The purpose of the study was to examine the Influence of Physical Features of the Housing Environment on Students' Halls of Residence at the University of Cape Coast in the central region of Ghana. Quantitatively, a descriptive survey research design was adopted for the study. Housing Deficit Theory underpins the study. The study population comprised three hundred and eight one (381) level 100 [...] Read more.
The purpose of the study was to examine the Influence of Physical Features of the Housing Environment on Students' Halls of Residence at the University of Cape Coast in the central region of Ghana. Quantitatively, a descriptive survey research design was adopted for the study. Housing Deficit Theory underpins the study. The study population comprised three hundred and eight one (381) level 100 students in the Halls of Residence at the University of Cape Coast. Stratified proportionate random and simple random sampling techniques were used to select the eight (8) halls of residence and three hundred and eight one (381) level 100 students. The main instrument for data collection was a questionnaire. Cronbach's alpha was used in the study to assess the reliability of the variables. Descriptive statistics were used to analyse the data and show the direction of the responses. The study revealed that the students were satisfied with the physical features of the halls of residence, which influenced their contentment. Features such as recreational facilities, fire service systems, and relaxation facilities were vital in reaching such satisfaction. The study also indicated that the students were satisfied with how much their housing environment influenced their contentment. Students' relationship with their colleagues, the proximity of their halls of residence to the lecture halls and the serenity of the environment of the halls of residence all proved helpful in aligning the students' contentment to such an extent. It is recommended that the hall management should maintain the present physical features and facilities in the halls of residence for students' satisfaction. It is also recommended that the university management take into consideration the proximity of the halls of residence to the lecture theatres and the serenity of the environment of halls of residence in any future halls of residence construction.
Article
Open Access November 16, 2024

Digital Therapeutics: A New Dimension to Diabetes Mellitus Management

Abstract Digital therapeutics (DTx) play a transformative role in diabetes management by leveraging technology to provide personalized, data-driven medical interventions. These tools enhance self-management by offering continuous monitoring and real-time feedback on glucose levels, diet, and physical activity. This personalized approach helps patients adhere to treatment plans and make informed lifestyle [...] Read more.
Digital therapeutics (DTx) play a transformative role in diabetes management by leveraging technology to provide personalized, data-driven medical interventions. These tools enhance self-management by offering continuous monitoring and real-time feedback on glucose levels, diet, and physical activity. This personalized approach helps patients adhere to treatment plans and make informed lifestyle changes, leading to improved clinical outcomes such as reduced HbA1c levels and better overall diabetes control. The importance of DTx lies in their ability to make diabetes care more accessible and convenient. Mobile apps and telemedicine platforms enable patients to receive support and guidance from anywhere, reducing the need for frequent in-person visits. Additionally, DTx often include behavioral support features like reminders, educational content, and motivational tools, which are crucial for maintaining healthy habits and managing stress. Currently, the dynamics of DTx in diabetes are rapidly evolving, with increasing integration of artificial intelligence and machine learning to further personalize and optimize care. As the adoption of these technologies grows, they hold the potential to significantly improve patient outcomes and revolutionize diabetes management on a global scale. This article will focus on the benefits of novel digital therapeutics for prevention and management of type II diabetes that are currently available in the market.
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Article
Open Access November 07, 2024

Optimizing Pharmaceutical Supply Chain: Key Challenges and Strategic Solutions

Abstract Pharmaceutical supply chains are critical to ensuring the availability of safe and effective medications, yet they face numerous challenges that can jeopardize public health. This article provides a comprehensive analysis of the key issues impacting pharmaceutical supply chains, including regulatory compliance, demand forecasting, supply chain visibility, quality assurance, and geopolitical risks. [...] Read more.
Pharmaceutical supply chains are critical to ensuring the availability of safe and effective medications, yet they face numerous challenges that can jeopardize public health. This article provides a comprehensive analysis of the key issues impacting pharmaceutical supply chains, including regulatory compliance, demand forecasting, supply chain visibility, quality assurance, and geopolitical risks. Regulatory compliance remains a significant concern due to the stringent guidelines imposed by authorities such as the FDA and EMA, which can lead to increased operational costs and time delays. Additionally, traditional demand forecasting methods often fail to accurately predict fluctuations in drug demand, resulting in stockouts or excess inventory. Limited supply chain visibility further complicates these challenges, hindering timely decision-making and operational efficiency. Quality assurance is paramount, as maintaining the integrity of pharmaceutical products throughout the supply chain is crucial to preventing costly recalls and ensuring patient safety. Moreover, the globalization of supply chains introduces vulnerabilities to geopolitical risks, trade disputes, and natural disasters. In response to these issues, this article outlines strategic recommendations for optimizing pharmaceutical supply chains. These include leveraging advanced analytics and IoT technologies to enhance demand forecasting and visibility, strengthening compliance through automated systems and training, fostering collaboration among stakeholders, implementing robust risk management frameworks, and investing in quality management systems. By adopting these strategies, pharmaceutical companies can enhance the efficiency and resilience of their supply chains, ultimately ensuring the continuous availability of essential medications for patients worldwide. This analysis serves as a critical resource for industry professionals seeking to navigate the complexities of pharmaceutical supply chains in an increasingly dynamic global environment.
Review Article
Open Access October 30, 2024

Smokers with Multiple Chronic Disease Are More Likely to Quit Cigarette

Abstract Objective: This study aims to investigate the relationship between the presence of chronic medical conditions and cessation among U.S. adults who use combustible tobacco. We hypothesized that having chronic medical conditions would be associated with a higher likelihood of successfully quitting combustible tobacco. Methods: We utilized longitudinal data from the Population [...] Read more.
Objective: This study aims to investigate the relationship between the presence of chronic medical conditions and cessation among U.S. adults who use combustible tobacco. We hypothesized that having chronic medical conditions would be associated with a higher likelihood of successfully quitting combustible tobacco. Methods: We utilized longitudinal data from the Population Assessment of Tobacco and Health (PATH) Study, using data from Waves 1 to 6. Only current daily smokers were included in our analysis. The independent variable was the number of chronic medical conditions, defined as zero, one, or two or more. The outcome was becoming a former smoker (quitting smoking). Using multivariate regression analyses, we assessed the association between the number of chronic conditions and tobacco cessation over the six waves. We controlled for potential confounding variables, including demographic factors and socioeconomic status. Results: Our analysis revealed a significant association between the number of chronic medical conditions and the likelihood of quitting smoking. Specifically, individuals with two or more chronic conditions exhibited a greater probability of quitting smoking compared to those with no chronic conditions. The results remained significant after adjusting for potential confounders. Conclusions: Multiple chronic medical conditions may act as a catalyst for smoking cessation among U.S. adults. This suggests that the presence of multimorbidity, defined as multiple chronic disease diagnoses, may serve as “teachable moments,” prompting significant health behavior changes. These findings highlight the potential for leveraging chronic disease management and healthcare interventions to promote tobacco cessation, particularly among individuals with multiple chronic conditions.
Article
Open Access October 12, 2024

Case Report: Unmasking Meigs’ Syndrome and the resolution of persistent Ascites after Oophorectomy in an 18-year-old Female at Cleveland Specialized Clinic Wampewo

Abstract Introduction: Meigs’ Syndrome, characterized by a benign ovarian tumor that leads to ascites and occasionally pleural effusion, is a rare condition that often presents significant diagnostic challenges, particularly in young female patients. This case report highlights an 18-year-old-female with persistent gross ascites and pleural effusion unresponsive to diuretics, paracentesis, and [...] Read more.
Introduction: Meigs’ Syndrome, characterized by a benign ovarian tumor that leads to ascites and occasionally pleural effusion, is a rare condition that often presents significant diagnostic challenges, particularly in young female patients. This case report highlights an 18-year-old-female with persistent gross ascites and pleural effusion unresponsive to diuretics, paracentesis, and thoracentesis. Despite extensive diagnostics evaluations including negative results from several tumor makers, histology and pathology reports, Liver and renal function tests, abdominal CT scans, ECHO, Ecg, Chest X-rays and HBV screening PCR test, the underlying causes of the ascites and pleural effusion remained elusive. The diagnosis was only made following an exploratory laparotomy, which revealed the presence of bilateral benign ovarian tumors. Subsequent bilateral Oophorectomy and Salpingectomy resulted in the complete resolution of the ascites. This case underscores not only the importance of considering ovarian pathology in young females with unexplained ascites but also highlights the critical role of exploratory laparotomy when non-invasive diagnostics fails to provide answers. Conclusion: This case emphasizes the need for a high index of suspicious for Meigs’ Syndrome in young females presenting with persistent ascites and pleural effusion, even when standard diagnostic tests yield negative results. It highlights the potential necessity of surgical intervention when other diagnostic approaches fail to identify the underlying causes. Clinicians should be aware of this condition and consider it in their differential diagnosis to ensure appropriate and effective management
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Case Report
Open Access September 12, 2024

Assessment of Coping Strategies Among Nursing Students: Basis for Psychological First Aid

Abstract Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. [...] Read more.
Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. This study investigates the effects of baseline adulthood SES indicators such as education and poverty on telomere length nine years later in women, using data from the Future of Families and Child Wellbeing Study (FFCWS). Methods: We analyzed data from the FFCWS, a longitudinal cohort study. The sample included baseline adulthood SES and follow-up telomere length measure of women (n = 2,421) with varying socioeconomic conditions. Telomere length was measured from saliva samples nine years after the baseline measure of adulthood SES. Education, poverty, and marital status at baseline were assessed. Multivariate linear regression models were used to examine the association between adulthood SES indicators at baseline and future telomere length, controlling for potential confounders. Results: From the total 2,421 women, 675 were Latino White, 1,158 were non-Latino Black, and 588 were non-Latino White. Our findings indicate that for non-Latino White women poverty at certain level, and childbirth weight, and for non-Latino Black maternal age were predictors of telomere lengths nine years later. Conclusion: Poverty at a specific level, maternal age and childbirth weight serve as predictors of telomere lengths nine years later in some women. These findings underscore the importance of socioeconomic factors and early-life influences in understanding telomere dynamics and aging processes among women from varied racial and ethnic backgrounds.
Article
Open Access July 25, 2024

Leadership Styles of Female Leaders in Management of Senior High Schools in the Central Region of Ghana

Abstract The role and contribution of women in modern organisations have been phenomenal. However, societal norms and other patriarchal values continue to stifle the progress of women leaders. The study's overall purpose was to examine the leadership styles of female leaders in managing senior high schools in the Central Region of Ghana. The study adopted non-numerical data and used a purely qualitative [...] Read more.
The role and contribution of women in modern organisations have been phenomenal. However, societal norms and other patriarchal values continue to stifle the progress of women leaders. The study's overall purpose was to examine the leadership styles of female leaders in managing senior high schools in the Central Region of Ghana. The study adopted non-numerical data and used a purely qualitative research approach. A phenomenological design supported the study framework, and the required data was collected through interviews. The target population for the study were female headmistresses and assistant headmistresses in the various Senior High Schools in the Metropolis. The study involved all six female headmistresses and eight assistant headmistresses in the Metropolis. The participants were sampled using the census to meet the study objectives. The data were analysed thematically. The study revealed that married couples use the participatory leadership style, but those who are single use the assertive style. The study also concluded that women leaders who are single and are farther from 60 years old are more likely to have problems in the discharge of their duties as leaders since men, per societal influence, will always try to resist the control of women leaders. The Ghana education service should package special incentives for women who aspire to achieve the utmost leadership role of becoming heads of senior high schools. It will motivate the young women generation. It is also recommended that women in leadership positions in the Ghana Education Service are advised to learn by updating their skills and competencies to grow in confidence and share ideas with colleagues in the same field to adopt and adapt leadership styles that have worked in other institutions to handle institutional challenges.
Review Article
Open Access July 16, 2024

Management of Saltwater Intrusion in Coastal Aquifers: A Review and Case Studies from Egypt

Abstract Groundwater is undeniably crucial to people's lives, particularly in coastal regions. Therefore, it is imperative to address this vital water source strategically and implement a management plan to maintain its optimal state. The salinization of groundwater poses a significant challenge for coastal communities, stemming from factors like excessive groundwater extraction from coastal aquifers, [...] Read more.
Groundwater is undeniably crucial to people's lives, particularly in coastal regions. Therefore, it is imperative to address this vital water source strategically and implement a management plan to maintain its optimal state. The salinization of groundwater poses a significant challenge for coastal communities, stemming from factors like excessive groundwater extraction from coastal aquifers, reduced recharge, rising sea levels, climate change, and other causes. Saltwater intrusion (SWI) is a prevalent issue that needs attention, as it significantly threatens groundwater quantity and quality. SWI happens when saline water infiltrates coastal aquifers, contaminating freshwater supplies. This review article aims to define SWI, explore its causes and influencing factors, and discuss various monitoring techniques. Additionally, it examines different modeling methods and management tools, including remote sensing, field surveys, modeling approaches, and optimization techniques. To mitigate the adverse effects of SWI, several control measures are outlined, along with their pros and cons. The final section reviews previous SWI studies and case studies from the Nile Delta, Sinai Peninsula, and North-West coast in Egypt. These studies offer suggestions, adaptations, and mitigation measures for future research.
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Review Article
Open Access June 07, 2024

Quality Assurance in Curriculum Development in Ghana’s Higher Education System: A Case Study of UMaT

Abstract Over the past decades, quality assurance has received significant prominence in higher education management across the world. While the concept is pertinent to all areas of higher education management, nowhere is it considered more crucial than in curriculum development, given the importance of curriculum in supporting students to achieve the needed learning outcomes. In this study, we explored [...] Read more.
Over the past decades, quality assurance has received significant prominence in higher education management across the world. While the concept is pertinent to all areas of higher education management, nowhere is it considered more crucial than in curriculum development, given the importance of curriculum in supporting students to achieve the needed learning outcomes. In this study, we explored how quality is ensured in curriculum development in Ghana, using a STEM university, University of Mines and Technology (UMaT), as a case study. We specifically examined the procedure for curriculum development in the university, how quality assurance is ensured during the process, and the challenges associated with the process. We explore the case using qualitative techniques, particularly in-depth interviews. Fourteen (14) participants were purposively sampled from four (4) functional levels responsible for curriculum development in the university. The study found that the quality of curriculum in UMaT is largely determined by both national and institutional quality assurance frameworks. The major challenges that hamper quality assurance are the need to design curriculum at a shorter notice to fulfil accreditation requirement, lack of experts to support curriculum development, and less consultation with other relevant stakeholders as required by the regulator, Ghana Tertiary Education Commission (GTEC).
Article
Open Access May 12, 2024

Socio-Demographic Factors Influencing Work-Family Conflict Among Hotel Managers

Abstract This study examines the influence of socio-demographic factors on work-family conflict among management staff in star-rated hotels in the Accra Metropolis. The research aims to explore how variables such as gender, age, marital status, and educational background impact the experiences of work-family conflict among hotel managers. A quantitative research design was employed, and data were collected [...] Read more.
This study examines the influence of socio-demographic factors on work-family conflict among management staff in star-rated hotels in the Accra Metropolis. The research aims to explore how variables such as gender, age, marital status, and educational background impact the experiences of work-family conflict among hotel managers. A quantitative research design was employed, and data were collected through structured questionnaires distributed to a purposive sample of hotel managers. The findings reveal significant associations between socio-demographic characteristics and work-family conflict, highlighting the complexities of balancing work responsibilities with family obligations in the hospitality industry. The implications of the study underscore the importance of tailored interventions to support the well-being of hotel managers, while the recommendations emphasise the implementation of work-life balance programs, support for family obligations, promotion of diversity and inclusion, and continuous training and development. It is recommended that hotel organisations create a supportive work environment that enhances the job satisfaction and productivity of their management staff. This study contributes valuable insights to the existing literature on work-family conflict in the hospitality sector and provides a foundation for future research endeavours in this area.
Article
Open Access April 24, 2024

Optimization of Delirium Care in Adult Patients with Cancer: A Comprehensive and Integrative Review of Efficacy and Patient Outcomes

Abstract Delirium is a major complication most commonly observed in patients with advanced cancer. However, despite its prevalence, the early diagnosis, management, and prevention of this condition have not seen significant progress. Aim of this research is to provide insights into the prevalence of delirium, the optimization of interventions for managing delirium symptoms, their effectiveness and the [...] Read more.
Delirium is a major complication most commonly observed in patients with advanced cancer. However, despite its prevalence, the early diagnosis, management, and prevention of this condition have not seen significant progress. Aim of this research is to provide insights into the prevalence of delirium, the optimization of interventions for managing delirium symptoms, their effectiveness and the impact of underlying factors on the reversibility of delirium in advanced cancer patients receiving palliative care. The review involved systematic searches of relevant databases including MEDLINE, CINAHL, ProQuest Nursing and Allied Health, and PsychInfo using refined search terms. Eight publications out of 614 studies originally searched were selected and critically reviewed. Their quality was assessed using Joanna Briggs Institute's Critical Appraisal Tool for Case Series. Data abstraction and content analysis were performed to synthesize the findings. Delirium is prevalent among advanced cancer patients in palliative care, with rates ranging from 10.3% to 24.1%. Pharmacotherapy and non-pharmacological interventions showed effectiveness in reducing delirium symptoms. Delirium was found to be reversible through palliative care interventions, antipsychotic medications, and exercise therapy. Effective delirium management is crucial in improving the quality of life of cancer patients. This review emphasizes the importance of subtype-specific treatments, standardized guidelines, and long-term follow-up studies. Implementing evidence-based individualized approaches to delirium management can optimize treatment efficacy and clinical outcomes in patients as well as improve the quality of care. Tailored interventions, standardized protocols, and further research are hereby recommended.
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Review Article
Open Access April 16, 2024

Revolutionizing Automotive Supply Chain: Enhancing Inventory Management with AI and Machine Learning

Abstract Consumer behavior is evolving, demanding a wide range of products with fast shipping and reliable service. The automotive aftermarket industry, worth billions, requires efficient distribution systems to stay competitive. Manufacturers strive to balance growth with product and service excellence. Distributors and retailers face the challenge of maintaining competitive pricing while keeping [...] Read more.
Consumer behavior is evolving, demanding a wide range of products with fast shipping and reliable service. The automotive aftermarket industry, worth billions, requires efficient distribution systems to stay competitive. Manufacturers strive to balance growth with product and service excellence. Distributors and retailers face the challenge of maintaining competitive pricing while keeping inventory levels low. An adequate supply chain and accurate product data are crucial for product availability and reducing stock issues. This ultimately increases profits and customer satisfaction.
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Article
Open Access March 23, 2024

An Attitude of Staff and Students towards Littering in Second-Cycle Schools in Sefwi Wiawso Municipality in the Western North of Ghana

Abstract The growing unconcern and poor attitude of some Ghanaians towards environmental protection and sanitation practices has become very endemic in Ghanaian Societies. Littering especially is considered a major environmental problem within the setting of this study. This study employed the mixed-method approach in integrating qualitative and quantitative research data. The study adopted a convergent parallel research design. The population for this study consisted of all teaching staff and students of Sefwi Wiawso Senior High Technical School and St. Joseph Catholic Senior High School in Sefwi Wiawso municipality in the Western North Region of Ghana. Purposive, simple random, and convenient sampling techniques were used to select the schools, teachers and students for the study. A sample size of one hundred and ninety-eight (198) consisting of one hundred eighty-eight (188) students and ten (10) teachers were selected for the study. The two main instruments used for data collection were questionnaires and interview guides. The quantitative data obtained from the questionnaire were coded with numerical values and keyed into the data view of the SPSS version 23. The qualitative data was analysed through content analysis and was further transcribed into themes for analysis with a side-by-side comparison with the quantitative data. The qualitative data gathered and presented, were organised and analysed manually using emerging themes. The study revealed that littering is currently caused by irresponsible behaviour among some staff and students coupled with other factors such as lazy attitudes among people, inadequate waste bins on campus, and more seriously, less sensitization of people on littering in the various senior high schools. The study also indicated that provisions of adequate waste bins at vantage points in the various campuses, awarding prizes to individual students and groups with good waste management practices on campus, implementing rules and regulations on littering, as well as educating, and sensitizing students and staff on littering on campuses formed the possibilities on how schools can shape up staff and student’s attitudes towards healthy environment by avoid littering. It is recommended that Students with good waste management practices should be rewarded to encourage others in Senior High Schools. It is also recommended that sustainable waste management practices (collection, transportation, and treatment) should be employed in all the Senior High Schools [...] Read more.
The growing unconcern and poor attitude of some Ghanaians towards environmental protection and sanitation practices has become very endemic in Ghanaian Societies. Littering especially is considered a major environmental problem within the setting of this study. This study employed the mixed-method approach in integrating qualitative and quantitative research data. The study adopted a convergent parallel research design. The population for this study consisted of all teaching staff and students of Sefwi Wiawso Senior High Technical School and St. Joseph Catholic Senior High School in Sefwi Wiawso municipality in the Western North Region of Ghana. Purposive, simple random, and convenient sampling techniques were used to select the schools, teachers and students for the study. A sample size of one hundred and ninety-eight (198) consisting of one hundred eighty-eight (188) students and ten (10) teachers were selected for the study. The two main instruments used for data collection were questionnaires and interview guides. The quantitative data obtained from the questionnaire were coded with numerical values and keyed into the data view of the SPSS version 23. The qualitative data was analysed through content analysis and was further transcribed into themes for analysis with a side-by-side comparison with the quantitative data. The qualitative data gathered and presented, were organised and analysed manually using emerging themes. The study revealed that littering is currently caused by irresponsible behaviour among some staff and students coupled with other factors such as lazy attitudes among people, inadequate waste bins on campus, and more seriously, less sensitization of people on littering in the various senior high schools. The study also indicated that provisions of adequate waste bins at vantage points in the various campuses, awarding prizes to individual students and groups with good waste management practices on campus, implementing rules and regulations on littering, as well as educating, and sensitizing students and staff on littering on campuses formed the possibilities on how schools can shape up staff and student’s attitudes towards healthy environment by avoid littering. It is recommended that Students with good waste management practices should be rewarded to encourage others in Senior High Schools. It is also recommended that sustainable waste management practices (collection, transportation, and treatment) should be employed in all the Senior High Schools across the country.
Article
Open Access February 18, 2024

An Appraisal of Challenges in Developing Information Literacy Skills in the Colleges of Education of Ghana

Abstract The purpose of this study was to examine the challenges faced by students of Colleges of Education (CoEs) in developing their Information Literacy skills. The study adopted the post-positivism paradigm. Descriptive survey research design used in this study Survey. The population for this study comprised all Level 200 students at Wiawso CoE, Enchi CoE, and Bia Lamplighter CoE in the Western North [...] Read more.
The purpose of this study was to examine the challenges faced by students of Colleges of Education (CoEs) in developing their Information Literacy skills. The study adopted the post-positivism paradigm. Descriptive survey research design used in this study Survey. The population for this study comprised all Level 200 students at Wiawso CoE, Enchi CoE, and Bia Lamplighter CoE in the Western North Region. Purposive, stratified, and convenience sampling techniques were used to select colleges of education and level 200 students. The three (3) colleges of education were stratified and purposively selected while 256 level 200 students were stratified and conveniently sampled. The study employed questionnaires to collect data from the sampled students. Questionnaires (open and closed-ended questions) focused on the challenges faced by the students in developing their Information Literacy (IL) skills. The quantitative data was captured, analysed, and presented in descriptive statistics such as percentages, and frequency tables, to determine the objective of the study. It is recommended that to improve digital literacy and academic pursuits, the college management should improve access to desktop computers and the Internet in the library and computer centre. It is also recommended that Management and librarians of the Colleges of Education ensure that students have access to these devices at the library and can use them to develop their IL skills and help them manage their references more effectively.
Article
Open Access January 24, 2024

Influence of social media on the stock market: Part 1. A brief analysis

Abstract The world of the stock market is an intricately complex financial ecosystem that demands years of dedicated study to comprehend fully. It relies on risk mitigation practices and fundamental theoretical techniques to engage in speculation regarding stock and cryptocurrency fluctuations. However, this realm is progressively becoming more inclusive, with accessibility expanding beyond traditional [...] Read more.
The world of the stock market is an intricately complex financial ecosystem that demands years of dedicated study to comprehend fully. It relies on risk mitigation practices and fundamental theoretical techniques to engage in speculation regarding stock and cryptocurrency fluctuations. However, this realm is progressively becoming more inclusive, with accessibility expanding beyond traditional educational barriers. Technological advancements, coupled with the ease of entry into this domain and the information-disseminating power of social networks, contribute to a rising number of individuals participating in this financial movement. What makes this evolution disruptive is that the same tools facilitating accessibility also exert influence on the way market trends unfold. This paper delves into the escalating impact of social media within the financial sphere, emphasizing the heightened accessibility to information and market involvement facilitated by platforms like Twitter and Reddit. It sheds light on how social media plays a pivotal role in market manipulation, as evidenced by phenomena such as the r/wallstreetbets subreddit, where meme-based strategies were employed to inflate the prices of stocks like GameStop. The study explores the utilization of social media by influential figures, exemplified by Elon Musk, who leverage their platforms to sway market movements. Additionally, this paper addresses instances of misinformation, such as the confusion surrounding Virgin Galactic's shares following a SpaceX failure and the introduction of "AGUA" in the Mexican stock market, leading to widespread misunderstandings. The paper extends its examination to the effects of social media on cryptocurrencies, highlighting how comments from public figures can significantly impact the prices of Bitcoin and Dogecoin. Overall, it underscores the imperative need for adaptation to these changes in the digital financial paradigm.
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Review Article
Open Access December 11, 2023

How Digital Technologies Improving Business Enterprise Applications

Abstract The review article presents how emerging technologies improves the business enterprise applications for process management. The paper considers certain technologies of enterprise applications and justifies the updated methodological and analytical tools for assessing, selecting, and regulating business processes in a single enterprise resource planning (ERP) system. Information technology must be [...] Read more.
The review article presents how emerging technologies improves the business enterprise applications for process management. The paper considers certain technologies of enterprise applications and justifies the updated methodological and analytical tools for assessing, selecting, and regulating business processes in a single enterprise resource planning (ERP) system. Information technology must be used to identify products, track their movement into and out of the warehouse using code scanning technology, and streamline the product management procedure. To increase the dependability of management techniques, guarantee that the business operates flawlessly, and maintain a regular management mode, the process management form should be implemented in the enterprise management process. The implementation of digital information technology is essential for achieving effective corporate management. In addition to providing ideal operational circumstances for businesses, it is essential to analyse information technology and manage businesses economically. The foundation for implementing the enterprise applications method strategy is the creation of a process management system and an in-depth, methodical review of the enterprise as a collection of processes. Process-oriented enterprise applications should be the foundation of contemporary novel technologies for modelling business processes. It shares a tight relationship with workflow management systems (WFM), enterprise resource planning (ERP), and total quality management (TQM).
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Review Article
Open Access October 22, 2023

An Appraisal of Work-Family Conflict on Management Staff of Star-Rated Hotels

Abstract The objective of this research was to investigate work-family conflict among management staff of hotels in the Accra Metropolis of Ghana. The study employs the pragmatism approach and Convergent parallel mixed methods research technique. The population of the study is all-star-rated management staff of star-rated hotels in the Accra metropolis. Stratified, random and convenient sampling techniques [...] Read more.
The objective of this research was to investigate work-family conflict among management staff of hotels in the Accra Metropolis of Ghana. The study employs the pragmatism approach and Convergent parallel mixed methods research technique. The population of the study is all-star-rated management staff of star-rated hotels in the Accra metropolis. Stratified, random and convenient sampling techniques were used to select 182 out of 356 respondents. One hundred (100) were sampled using a formula and a table determination of sample size based on the confidence level needed from a given population as provided by Krejcie and Morgan in 1970 for the study. Ten managers were conveniently interviewed on the issues of work-family conflict. The main instruments for data collection were a questionnaire and a semi-structured interview guide. This study adopted factor analysis and a structural equation model to examine factors that influence work-family conflict. This statistical technique was used in the research to investigate the factorability of the variables of work-related and family-related factors separately and a structural equation model was used to combine both factors to better understand the relationship. Linear regression was used to determine the relationship between work-family conflict. Pearson product-moment Correlation and structural equation model were used to determine the consequences of work-family conflict. It can be concluded that both work-related such as work overload, job type and involvement as well as family-related factors such as life cycle stage, and childcare arrangement predict work-family conflict among managers of hotels in the Accra metropolis. It is also deducted WFC affect managers’ performance on the job, exhaust them emotionally and also influences their intentions to leave the job for another. Managers usually feel fatigued to prepare for work and physically drained after work. They also feel depressed and emotionally drained sometimes. It is recommended that top management of hotels should allocate a budget to build an organisational culture that encourages work-family balance. Frontline managers should be trained to be aware of the benefit of providing support in the work environment that will help staff balance work and family. It is also recommended that hotel jobs be redesigned by the human resource unit to reduce workload and make it more interesting for managers so they may not feel overworked. Overworking of managers will enhance their intentions to quit the job and this will be costly for hotels.
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Article
Open Access October 07, 2023

Emerging Digital Technologies for Pharmaceutical Drug Traceability

Abstract The pharmaceutical supply chain environment has undergone tremendous change in recent decades due to technology, and this shift is intensifying. One of the main concerns of business practitioners is how to cost-effectively integrate, implement, and manage technologies across the supply chain of an organization. Pharmaceutical organizations that produce, ship, and supply goods have trouble tracking [...] Read more.
The pharmaceutical supply chain environment has undergone tremendous change in recent decades due to technology, and this shift is intensifying. One of the main concerns of business practitioners is how to cost-effectively integrate, implement, and manage technologies across the supply chain of an organization. Pharmaceutical organizations that produce, ship, and supply goods have trouble tracking their goods, which makes it easier for counterfeiters to get fake medications into the system. The creation and implementation of a stringent technological system might be a significant step in the arduous battle against the prevalence of fake medications and other healthcare items. In supply chain management, digital technologies have a number of potential advantages. The usage of the Internet of Things in supply chains can make every component visible and create a visible supply chain, making it possible to identify the position and specifications of all the components and materials in the supply chain at any given time.
Review Article
Open Access September 18, 2023

An Empirical Study of Challenges and Management Supports in Teaching and Learning of Social Studies in the Public Senior High Schools of Ghana

Abstract The purpose of this study was to examine the challenges and management supports in teaching and learning of Social Studies in Public Senior High Schools in Akuapem South and North Districts in the Eastern Region of Ghana. Quantitatively, the study adopted a cross-sectional survey using a descriptive correlational research design to assess Challenges and Management Supports Teaching and Learning of [...] Read more.
The purpose of this study was to examine the challenges and management supports in teaching and learning of Social Studies in Public Senior High Schools in Akuapem South and North Districts in the Eastern Region of Ghana. Quantitatively, the study adopted a cross-sectional survey using a descriptive correlational research design to assess Challenges and Management Supports Teaching and Learning of Social Studies in Public Senior High Schools of Ghana. The population of the study comprised social studies teachers and students in the Akuapem South and Akuapem North Districts of the Eastern Region of Ghana. Purpose and probabilistic sampling procedures were used to select senior high schools, teachers and students for the study. The main instrument for data collection was a structured questionnaire (SQ). Data was collected from 261 final year students from five Senior High Schools and 33 Social Studies teachers using structured questionnaire. Data was analysed using SPSS Version 24. Descriptive statistics (mean, SD) was conducted to summarise the data and t-test was applied to establish if there is a statistically significant difference in the perceptions of students and teachers on the school-based drivers and effective teaching and learning of social studies. The results of the study revealed that the key school-based drivers influencing the teaching and learning of social studies in the two districts relate to classroom environment; lack of management supports in terms of resource provision for practical lessons, lack of supportive physical environment such as large class size (t = 32.881, mean difference = 6.2422, p<0.05)- thus preventing teachers from engaging students in practical work and individualising their assignments (t-statistics=37.563, mean difference= 3.0920, p<0.05); and teachers inability to use diagnostics assessment tools to unraveled students difficulties and support them. The conclusion is that, the key drivers influencing effective teaching and learning of social studies are school-based and policy driven. The study therefore recommends that the government should support the teaching of Social Studies through provision of adequate resources to help teachers improve their output. Again, the student-teacher ratio should be reduced.
Article
Open Access August 18, 2023

Barriers to Effective Solid Waste Management in Ghana: A Case of Komenda-Edina-Eguafo-Abrem Municipality

Abstract The objective of this study was to examine the barriers to effective solid waste management in the Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. This study adopted the cross-sectional descriptive survey research design. The population for the study comprised all residents of 18 years or older as well as waste management agencies in the KEEA Municipality. A simple random [...] Read more.
The objective of this study was to examine the barriers to effective solid waste management in the Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. This study adopted the cross-sectional descriptive survey research design. The population for the study comprised all residents of 18 years or older as well as waste management agencies in the KEEA Municipality. A simple random sampling technique was used to select 380 residents together with 45 staff of the Zoomlion Company Ltd in the KEEA Municipality for the study. The questionnaire was the main instrument used for the data collection. Frequencies, percentages, means and standard deviations were used to analyse the questionnaire items on the research questions. This was done with the use of the Statistical Package for Service Solutions (SPSS) version 21. There were a number of barriers to effective solid waste management practices. Some of the barriers were inadequate environmental education; inadequate logistics and funds; inadequate depots, skips and dustbins; lack of adequate skilled personnel to manage services efficiently; and apathetic attitude/inertia on the part of some of the residents. Some other barriers included: irregular collection of waste by waste management companies; lack of appropriate sites for waste disposal; unwillingness of some households to pay for the collection and appropriate disposal of solids; and refuse dumps located very far from home. It is recommended that the government through the Ministry of Local Government should provide adequate logistics and funds for the procurement of dustbins in order to ensure proper solid waste management. The Assembly should ensure that Zoomlion collects waste regularly. The Assembly should encourage residents to pay for the collection of waste and sanction recalcitrant residents who do not adhere to appropriate solid waste management practices.
Article
Open Access August 18, 2023

An Investigation into the Contributions of Beach Resorts to the Development of Coastal Communities in the Central Region of Ghana

Abstract The purpose of this study was to examine the contributions of Beach Resorts to the development of coastal communities in the Central Region of Ghana. A mixed-method approach was adopted for the study. The population for this study comprised five communities selected from two municipalities and a district in the Central Region of Ghana (Brenu Akyinim and Elmina in the Komenda/Edina/Eguafo/Abrem [...] Read more.
The purpose of this study was to examine the contributions of Beach Resorts to the development of coastal communities in the Central Region of Ghana. A mixed-method approach was adopted for the study. The population for this study comprised five communities selected from two municipalities and a district in the Central Region of Ghana (Brenu Akyinim and Elmina in the Komenda/Edina/Eguafo/Abrem Municipality (KEEA), Moree in Abura/Asebu/Kwamankese District (AAK) as well as Anomabo and Ekumfi Otuam in the Mfantseman Municipal Assembly) Sample Random and Purposive sampling techniques were used to select the communities’ and respondents (Community members, Government agencies, and Resort management) for the study. The main instruments used for the study were questionnaires, Focus Group discussions and interviews. 240 questionnaires were administered, 40 by tourists and 200 by the inhabitants of the study area. Eighteen opinion leaders and management leaders in the study areas were also interviewed. The quantitative data entry and analysis were done by using the SPSS software package. The qualitative data was analysed by the use of the interpretative technique based on the themes arrived at during the data collection from the focus group discussions. It was realized that beach Resorts are a force to reckon with because the communities benefit a lot from job creation, income, infrastructure development, improvement in aesthetics, improved sanitation and many more. Education and skill training of the youth in the coastal communities is very crucial if they are to be employed and be paid well. Some of them need foreign exposure to enlighten them about the need of foreign tourists to help manage the resort facilities very well and to make their services more competitive with beach resorts in other coastal regions in Ghana and Africa at large. It is recommended that the District Assemblies and Ghana Tourist Authority should institute policies to ensure that the education of the youth in the coastal communities (study areas) are given priority and also access to financial support be made available to the local investors. Beach resort owners should liaise with Ghana Tourism Authority and the Chiefs to establish a training institution to train and update the skill of those who work in the tourism sector.
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Open Access July 28, 2023

An Assessment of Coping Strategies on Work-family Conflict and Job Performance in Ghana

Abstract The purpose of this study was to examine coping strategies for managing the effects of work-family conflict on the management staff of hotels in the Accra metropolis of Ghana. The study adopted a Convergent parallel mixed methods research technique. The population of the study is all-star-rated management staff of star-rated hotels in the Accra metropolis. multi-stage sampling. The estimation of [...] Read more.
The purpose of this study was to examine coping strategies for managing the effects of work-family conflict on the management staff of hotels in the Accra metropolis of Ghana. The study adopted a Convergent parallel mixed methods research technique. The population of the study is all-star-rated management staff of star-rated hotels in the Accra metropolis. multi-stage sampling. The estimation of the sample size for the hotel managers was based on Krejcie and Morgan’s table for the determination of the sample size for a given population. The population of 100 managers were stratified and randomly sampled out of the 182 managers. The main instruments for data collection were questionnaires and an interview. Statistical Package for Social Sciences (SPSS) version 22.0 was used to determine simple percentages and frequencies of responses. Pearson product-moment Correlation and structural equation model were used to determine the consequences of work-family conflict as well as coping strategies adopted by managers. Amos PLS was used to determine the moderating effect of coping strategies on work-family conflict and job performance. Hotel managers in the Accra metropolis combine the strategies of structural role redefinition, personal role redefinition, cognitive restructuring and reactive role redefinition to curb work-family conflict. The study demonstrated a positive relationship between coping strategies and job performance. Coping strategies had a moderating effect on the relationship between work-family conflict and the job performance of hotel managers. Thus, to improve the job performance of hotel managers, there should be the application of coping interventions to help them perform on the job. The study also determined that work-family conflict had a significant positive relationship with job performance. Similarly, the study established that coping strategies significantly moderate the relationship between work-family conflict and job performance among hotel managers in the Accra metropolis. Although coping strategies were employed by hotel managers in the Accra metropolis, it is recommended that training sessions on the use of coping strategies and stress management techniques should be considered by management to address psychological and emotional work environment stressors since they have been proven to reduce stress and WFC. It is also recommended that there should be an inter-hotel collaboration to offer smaller hotels which do not have the resources some leverage the impact of work-family conflict. This platform can be provided by the Ghana hotels association to impact knowledge of coping strategies in smaller hotels. The government must be encouraged to liaise with the Ghana hotels association to enforce the mandatory eight-hour work per day to avoid overworking of hotel managers.
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Open Access July 26, 2023

Compassion Fatigue in Oncology Nurses: An Integrative Review

Abstract Oncology nurses are more likely to get compassion fatigue (CF) than nurses in other fields because of the emotional stress and poor outlook of cancer patients. Because of this, the care might not be very good, the job might not be very satisfying, and there is a good chance that the patient's pain won't be noticed. Aim. To synthesize empirical evidence on compassion fatigue in order to [...] Read more.
Oncology nurses are more likely to get compassion fatigue (CF) than nurses in other fields because of the emotional stress and poor outlook of cancer patients. Because of this, the care might not be very good, the job might not be very satisfying, and there is a good chance that the patient's pain won't be noticed. Aim. To synthesize empirical evidence on compassion fatigue in order to extract the common, central, and fundamental elements that may improve nursing care. Design. An integrative review Results. Fifteen (15) studies met the eligibility criteria wherein five themes emerged. These are the level of compassion fatigue among oncology nurses, the oncology nurses' perspectives on compassion fatigue, precipitating factors leading to CF with 2 subthemes (work environment and a feeling of lack of support), the influence of compassion fatigue on the personal lives and general well-being of cancer nurses, and the consequences on the quality of oncology nurses' professional lives at work. Conclusion. CF is a significant problem for nurses who work in specialized areas such as cancer units, demonstrated as a basic incapacity to nurture others. The integration of studies provides evidence of clinical practice application which can provide better outcomes and improve nursing care. Implications for Practice. The findings provide understanding into healthcare practice on how to avoid compassion fatigue. Clinical management approaches that can mitigate compassion fatigue and its negative repercussions are presented, as well as the formation of peer support groups that have the ability to ameliorate CF.
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Review Article
Open Access June 21, 2023

Effectiveness of Environmental Solid Waste Management Policies and Practices for Sustainable Development

Abstract The purpose of this study was to examine the effectiveness of environmental solid waste management policies and practices for sustainable development in Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. The case study research design was adopted for the study. Using the simple random sampling procedure, 425 respondents comprising of 380 residents and 45 Zoomlion staff were [...] Read more.
The purpose of this study was to examine the effectiveness of environmental solid waste management policies and practices for sustainable development in Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. The case study research design was adopted for the study. Using the simple random sampling procedure, 425 respondents comprising of 380 residents and 45 Zoomlion staff were involved in the study. The data were analysed through the computation of frequencies, percentages, as well as means and standard deviations. On the waste management strategic action plan for sustainable development, it can be concluded that, regular monitoring system should be in place to ensure that households adhere to the solid waste management practices; and education/training programmes on solid waste management should be provided for employees so that they can appreciate the need for sustainable development practices. It can also be concluded that, most of the environmental management policies and practices of solid waste management were not effective in the KEEA Municipality because the residents were uncertain about the effectiveness of the environmental policies that have been put in place. Perhaps, the Assembly does not conduct regular monitoring to find out solid waste management practices of the various households. It could be that the Assembly does not enforce bye-laws on sanitation on appropriate solid waste management practices. It is recommended that, the Environmental Protection Agency (EPA), and the Assembly should conduct regular monitoring system in order to ensure that residents adhere to the solid waste management practices. Again, the Assembly should make available a reliable data on solid waste generation for households in the Municipality. It is also recommended that, the Environmental Protection Agency (EPA) and the Assembly should ensure proper enforcement of the bye-laws on sanitation on appropriate solid waste management practices. Residents of the KEEA Municipality should be encouraged by the Environmental Protection Agency (EPA) to consider reuse and recycling as important activities.
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Open Access February 02, 2023

Quantifying 64 drugs, illicit substances, and D- and L- isomers in human oral fluid with liquid-liquid extraction

Abstract Although human oral fluid has become more routine for quantitative drug detection in pain management, detecting a large scope of medications and substances is costly and technically challenging for laboratories. This paper presents a quantitative assay for 64 pain medications, illicit substances, and drug metabolites in human oral fluid. The novelty of this assay is that it was developed on an [...] Read more.
Although human oral fluid has become more routine for quantitative drug detection in pain management, detecting a large scope of medications and substances is costly and technically challenging for laboratories. This paper presents a quantitative assay for 64 pain medications, illicit substances, and drug metabolites in human oral fluid. The novelty of this assay is that it was developed on an older model AB SCIEX 4000 instrument and renders obscure the need for more technical and expensive laboratory equipment. This method includes addition of internal standard and a 2-step liquid-liquid extraction and dry-down step to concentrate and clean the samples. The samples were suspended in 50% MeOH in water and separation and detection was accomplished using triple quadrupole mass spectrometry (LC-MS/MS). Separation was achieved using reverse-phase liquid chromatography with detection by LC-MS/MS. A second injection was done in negative mode to determine THC-COOH concentration as an indicator of THC. An aliquot of the (already) extracted samples was analyzed for D- and L- isomers of amphetamine and methamphetamine using a chiral column. The standard curve spanned from 5 to 2000 ng/mL for most of the analytes (1 to 2000 ng/mL for fentanyl and THC-COOH) and up to 1000 ng/mL for 13 analytes. Pregabalin and gabapentin ranged from 25 to 2000 ng/mL. The result is a low-cost method for the sensitive detection of a wide-ranging oral fluid menu for pain management. This assay has a high sensitivity, and good precision and accuracy for all analytes with an older model mass spectrometer.
Article
Open Access January 06, 2023

Retinal Detachment: A Mini Review

Abstract Retinal detachments comprised of serious ocular conditions and can lead to permanent vision loss. When the retina, the neurosensory layer, detaches from the back of the eye, it loses its oxygen and nutrient supply leading to the death of the tissue. Immediate diagnosis and treatment are essential to avoid significant morbidity associated with this condition. In this mini review, we outline the [...] Read more.
Retinal detachments comprised of serious ocular conditions and can lead to permanent vision loss. When the retina, the neurosensory layer, detaches from the back of the eye, it loses its oxygen and nutrient supply leading to the death of the tissue. Immediate diagnosis and treatment are essential to avoid significant morbidity associated with this condition. In this mini review, we outline the evaluation and management of retinal detachments and highlights the role of the interprofessional team in evaluating and treating patients with this condition.
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Mini Review
Open Access January 03, 2023

Antibiotic prescriptions for COVID-19 patients increased during the BA.5 period

Abstract The initial omicron (B.1.1.529) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) subvariants, BA.1 and BA.2 (BA.1/2), were progressively displaced by BA.5 in Japan, which showed not only higher transmittivity and less pathogenicity, but also differences in antibiotic use according to the difference in the clinical course of BA.5 compared with BA.1/2 infections. BA.5 patients received [...] Read more.
The initial omicron (B.1.1.529) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) subvariants, BA.1 and BA.2 (BA.1/2), were progressively displaced by BA.5 in Japan, which showed not only higher transmittivity and less pathogenicity, but also differences in antibiotic use according to the difference in the clinical course of BA.5 compared with BA.1/2 infections. BA.5 patients received more antibiotics, especially ampicillin/sulbactam, although ceftriaxone and meropenem were used significantly in the BA.1/2 period. These data suggest an increased incidence of aspiration pneumonia in elderly patients in the BA.5 period, and we should consider changing the management tactics for COVID-19.
Commentary
Open Access January 03, 2023

Indigenous Water Resource Conservation Practices in Contemporary Ghanaian Society

Abstract This position paper discusses indigenous water resource conservation practices and modern methods to address challenges in Akwamu traditional area in the Eastern region of Ghana. Africa is bedeviled with environmental crisis in this 21st century, and this has been a major concern to environmental conservationists. In Ghana, one of such environmental crisis is pollution of water bodies as a result [...] Read more.
This position paper discusses indigenous water resource conservation practices and modern methods to address challenges in Akwamu traditional area in the Eastern region of Ghana. Africa is bedeviled with environmental crisis in this 21st century, and this has been a major concern to environmental conservationists. In Ghana, one of such environmental crisis is pollution of water bodies as a result of indiscriminate human activities. Some have argued that non-recognition of indigenous knowledge in the management of water resources has been one of the major challenges of water resource crisis in Africa and Ghana is no exception. In the life and thought of indigenous people of Ghana, studies confirm that conservation of water resources is enforced through traditional religiously governed norms which have stood the test of time before formal institutions responsible for biodiversity conservation were established by government. Using Akwamu traditional area in Ghana as a case, this study explores how the indigenous people manage water bodies and to find out the possibility of incorporating indigenous knowledge practices and modern methods to address the current water resource problems in Ghana. Primary and secondary sources are employed for data collection. The study is carried out within the concept of ‘worldview’ to understand how indigenous people manage the environment through their indigenous belief systems. The findings are that; indigenous knowledge practices are potential tools for addressing water resource crisis in Ghana. The study also indicates that if indigenous knowledge practices are used alongside with the modern methods in water resource management, our water resource problems would be minimized if not totally solved in Africa.
Review Article
Open Access December 23, 2022

Erroneous uses of NSAIDs in patients with COVID-19, Dengue, and Chikungunya

Abstract NSAIDs are aberrantly used for pain management but pain and discomforts exerted from viral infections like COVID-19, Dengue, and Chikungunya should strictly be treated according to clinical guidelines and weighing risk-benefits, among such patients.
NSAIDs are aberrantly used for pain management but pain and discomforts exerted from viral infections like COVID-19, Dengue, and Chikungunya should strictly be treated according to clinical guidelines and weighing risk-benefits, among such patients.
Editorial
Open Access December 12, 2022

Effect of 8 Weeks of Physical Activity to Improve the Physical and Psychological State of 13 Women Under 30 Undergoing Treatment for Breast Cancer at the Saint Nicolas Clinic in Porto-Novo

Abstract Breast cancer is the most commonly diagnosed form of cancer in women. Several studies have shown the benefits of physical activity (PA) before and after treatment on the physical and psychological components of patients. Almost all of the studies mentioned are carried out on non-African patients over the age of 40. And no experimental studies have been carried out in young patients undergoing [...] Read more.
Breast cancer is the most commonly diagnosed form of cancer in women. Several studies have shown the benefits of physical activity (PA) before and after treatment on the physical and psychological components of patients. Almost all of the studies mentioned are carried out on non-African patients over the age of 40. And no experimental studies have been carried out in young patients undergoing treatment for breast cancer. This is how we asked ourselves the question of whether a physical exercise program carried out on young Beninese women under the age of 30 undergoing treatment for breast cancer at the Saint Nicolas clinic in Porto-Novo could it have the same effects on their physical and psychological components? Our objective through this research is to study the potential effect of a physical activity program on the physical and psychological state in women under 30 years old (27±5.8 years) undergoing treatment for a breast cancer at the Saint Nicolas clinic in Porto-Novo. An experimental study was then carried out with 13 patients (very low rate of women in this section suffering from breast cancer) undergoing treatment throughout 2022 at the Saint Nicolas clinic in Porto-Novo. The experimental group followed a physical activity program consisting of aerobic and muscular exercises; over a period of 8 weeks. According to the data collected and the feedback from the patients, the physical activity program seems to have been beneficial for most of them. There is an improvement in the quality of life and the physical condition of the patients. In addition, the management of physical fatigue and psychological fatigue also seem to improve. There was also a marked improvement in the ability to concentrate and self-esteem. The physical activity program has improved the physical and psychological state of Beninese women with breast cancer
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Open Access December 08, 2022

Teachers’ Use of Field Trip to Evaluate Social Studies Lessons in the Senior High Schools of Ghana

Abstract The purpose of the study was to assess teachers’ use of field trips in evaluating Social Studies lessons in Winneba Senior High School in Effutu Municipality in the Central Region of Ghana. Qualitatively, a case study research design was employed for the study. The population of this study comprised all the four (4) Social Studies teachers and Social Studies Association president in Winneba Senior [...] Read more.
The purpose of the study was to assess teachers’ use of field trips in evaluating Social Studies lessons in Winneba Senior High School in Effutu Municipality in the Central Region of Ghana. Qualitatively, a case study research design was employed for the study. The population of this study comprised all the four (4) Social Studies teachers and Social Studies Association president in Winneba Senior High School. Convenient and purposive sampling techniques were used to select the municipality, Winneba Senior High School and Social Studies teachers and Social Studies Association president for the study. The main instrument for data collection was semi-structured interview guide. The data was analysed through the use of the interpretative method on the themes identified during the data collection. The study indicated that the use of field trips in the teaching and learning of Social Studies has the potential to influence the understanding levels of students and teachers. Therefore, field trips have the potential to help students and teachers to gain new knowledge that may not have been obtained through theoretical learning in the classroom. The study also revealed that organisation of field a trip has some challenges, such as, time as the main factor, financial problems, inadequate support from School Management, Parents and some teachers, nature of the curriculum, the behaviour of students outdoor were related to the research questions and interpreted on the number of issues raised by respondents. It is recommended that procedures for seeking permission be outlined by the Ghana Education Service to facilitate easy permission processes and to reduce the stress associated with seeking permission for organizing field trips for teachers and students in Senior High Schools. It is also recommended that students should be educated more and more by their Social Studies teachers on the importance of embarking on field trips to eliminate the lukewarm attitudes of some of the students. It is recommended that the Regional and District directors of education should ensure constant and effective supervision of teachers to encourage the use of field trips as a teaching strategy for the evaluate Social Studies lessons.
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Open Access November 04, 2022

An Artificial Intelligence Approach to Manage Crop Water Requirements in South Africa

Abstract Estimation of crop water requirements is of paramount importance towards the management of agricultural water resources, which is a major mitigating strategy against the effects of climate change on food security. South Africa water shortage poses a threat on agricultural efficiency. Since irrigation uses about 60% of the fresh water available, it therefore becomes important to optimise the use of [...] Read more.
Estimation of crop water requirements is of paramount importance towards the management of agricultural water resources, which is a major mitigating strategy against the effects of climate change on food security. South Africa water shortage poses a threat on agricultural efficiency. Since irrigation uses about 60% of the fresh water available, it therefore becomes important to optimise the use of irrigation water in order to maximize crop yield at the farm level in order to avoid wastage. In this study, combined application of an artificial neural network (ANN) and a crop – growth simulation model for the estimation of crop irrigation water requirements and the irrigation scheduling of potatoes at Winterton irrigation scheme, South Africa was investigated. The crop-water demand from planting to harvest date, when to irrigate, the optimum stage in the drying cycle when to apply water and the amount of irrigation water to be applied per time, were estimated in this study. Five feed –forward backward propagation artificial neural network predictive models were developed with varied number of neurons and hidden layers and evaluated. The optimal ANN model, which has 5 inputs, 5 neurons, 1 hidden layer and 1 output was used to predict monthly reference evapotranspiration (ETo) in the Winterton area. The optimal ANN model produced a root-mean-square error (RMSE) of 0.67, Pearson correlation coefficient (r) of 0.97 and coefficient of determination (R2) of 0.94. The validation of the model between the measured and predicted ETo shows a r value of 0.9048. The predicted ETo was one of the input variables into a crop growth simulation model, called CROPWAT. The results indicated that the total crop water requirement was 1259.2 mm/decade and net irrigation water requirement was 1276.9 mm/decade, spread over a 5-day irrigation time during the entire 140 days of cropping season for potatoes. A combination of the artificial neural networks and the crop growth simulation models have proved to be a robust technique for estimating crop irrigation water requirements in the face of limited or no daily meteorological datasets.
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Open Access November 03, 2022

Assessment of Free Sanitary Pad Intervention Programme for Girls’ Education and School Retention in Tolon District in the Northern Region of Ghana

Abstract The purpose of this study was to examine the Free Sanitary Pad Intervention Programme for Girls’ Education and School Retention in Tolon District in the Northern Region of Ghana. Quantitatively, a descriptive cross-sectional research design was adopted for the study. The study population consist of female menstruating school adolescent girls from these five St, Monica’s R/C, Nyankpala D/A, Nizamia [...] Read more.
The purpose of this study was to examine the Free Sanitary Pad Intervention Programme for Girls’ Education and School Retention in Tolon District in the Northern Region of Ghana. Quantitatively, a descriptive cross-sectional research design was adopted for the study. The study population consist of female menstruating school adolescent girls from these five St, Monica’s R/C, Nyankpala D/A, Nizamia E/A, Islamia E/A and Nawaria E/A junior high schools between the ages of 10 to 22 years who were beneficiaries of CAMFED intervention programmes in the Tolon district. A homogeneous purposive sampling technique was used to select the five junior high schools and the one-hundred and fifty (150) adolescent girls in their menstrual cycle stage. The main instrument for data collection was a semi-structured questionnaire. The data entry and analysis were done by using the SPSS version 20 software package. The data was edited, coded and analysed into frequencies, percentages with interpretations. The study concluded that, there were frequent distribution of free sanitary pads among the beneficiaries’ schools. The study also indicated that the education given to the respondents during the distribution of the free sanitary pads led to improved menstrual hygiene management practices. It is recommended that, schools within the Tolon district should put in place the necessary and adequate toiletry and disposal systems to ensure menstrual hygiene among students especially, girls, during that time of the month. It is also recommended that, Government should make it a priority to provide every school with some sanitary products and drugs to cater for the female student taken by surprise with her monthly flow or the pain associated with mensuration not interfering with her academic work.
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Open Access November 02, 2022

Using the Concept of Precedence as an Approach to Explain the Logical Interaction and Interrelationships among Corporate Social Responsibilities: Battal's CSR Train VS. Carroll ′s CSR Pyramid

Abstract Purpose: The model of CSR devised by the American scientist ″Archie B. Carroll in 1991″ - which became well- known in academic circles as Carroll′s CSR pyramid, has been criticized by academics and researchers. The researcher firmly believes that one of the most important reasons that led to the emergence of these criticisms was Carroll's adoption of the idea of the pyramid as a form to [...] Read more.
Purpose: The model of CSR devised by the American scientist ″Archie B. Carroll in 1991″ - which became well- known in academic circles as Carroll′s CSR pyramid, has been criticized by academics and researchers. The researcher firmly believes that one of the most important reasons that led to the emergence of these criticisms was Carroll's adoption of the idea of the pyramid as a form to illustrate his idea of CSR. The content of the pyramid does not match the accompanying explanations given by Carroll. Carroll's CSR pyramid does not reflect the concept of simultaneous CSRs. Also, Carroll's CSR pyramid does not reflect the logical interaction and interrelationships among CSRs. It is also noted that, Carroll's pyramid reflects the expectations of stakeholders and does not reflect the expectations of companies from their commitment to their social responsibilities. This study aimed to design a model for CSR, in which the content of its figure matches the explanations attached to it, and reflects the concept of simultaneous CSRs, in addition to the logical interaction and the interrelationship among those responsibilities. Method: The researcher used the concept of precedence as an approach to explain the logical interaction and interrelationships among CSRs. The idea of precedence is clearly found only in the railway industry. The interaction of CSRs with each other can be likened to the interaction of the components of a classic train (a cockpit and coaches). Therefore, the researcher adopted the idea of the classic train as an innovative model to address some of the shortcomings of Carroll ′s pyramid. Battal's CSR train as an innovative model- in this study, can reflect the notion of simultaneous CSRs, the logical interaction and interrelationships among CSRs, and expectations and aspirations of both stakeholders and companies. Result: By adopting the idea of the classic train work and its components, this study was able to produce a model of CSR as an alternative model for Carroll′s pyramid (1991). Originality/Value: Battal ′s CSR train is an educational model that is designed to address some of the shortcomings of Carroll's CSR pyramid "as a figure and content." The content of Battal′s CSR train matches the attached explanation, and this will help to understand how CSRs interact with each other, as well as the concept of simultaneous CSRs. It is an enrichment of the thought of CSR.
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Open Access October 28, 2022

Traumatic Hyphaema: A Case Report

Abstract Hyphaema is the presence of blood in the anterior chamber (AC) of the eye and is commonly caused by a blunt ocular trauma. In this case report, we discuss a case of a 29-years-old African man presented to the emergency department with severe right ocular pain and blurry vision following a blunt injury. This is a teaching case report aimed to discuss the management options, potential complications [...] Read more.
Hyphaema is the presence of blood in the anterior chamber (AC) of the eye and is commonly caused by a blunt ocular trauma. In this case report, we discuss a case of a 29-years-old African man presented to the emergency department with severe right ocular pain and blurry vision following a blunt injury. This is a teaching case report aimed to discuss the management options, potential complications and visual prognosis of this particular case.
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Case Report
Open Access October 28, 2022

Giant Cell Arteritis: A Case Report

Abstract Giant cell arteritis (GCA) with ocular involvement is an emergency condition, and treatment with glucocorticoids should be provided immediately upon clinical suspicion of GCA to prevent potential blindness. In this case report, we discuss a case of a 70-years-old Caucasian male presented to the emergency department with one day sudden onset of double vision. This is a teaching case report aimed to [...] Read more.
Giant cell arteritis (GCA) with ocular involvement is an emergency condition, and treatment with glucocorticoids should be provided immediately upon clinical suspicion of GCA to prevent potential blindness. In this case report, we discuss a case of a 70-years-old Caucasian male presented to the emergency department with one day sudden onset of double vision. This is a teaching case report aimed to discuss the management options, potential complications and visual prognosis of this particular case.
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Case Report
Open Access October 25, 2022

Post COVID-19 Symptoms?

Abstract The SARS-COV-2 rapid spread caused an international public health emergency with unprecedented rates of morbidity and mortality. Post COVID-19 condition occurs as a spectrum of symptoms that present four or more weeks after acute infection with SARS-CoV-2. Most published data to date state 50-70% of hospitalized patients experienced at least one post-acute COVID-19 symptom up to 3 months after [...] Read more.
The SARS-COV-2 rapid spread caused an international public health emergency with unprecedented rates of morbidity and mortality. Post COVID-19 condition occurs as a spectrum of symptoms that present four or more weeks after acute infection with SARS-CoV-2. Most published data to date state 50-70% of hospitalized patients experienced at least one post-acute COVID-19 symptom up to 3 months after discharge. Commonly reported symptoms include; neurocognitive post COVID-19 (fatigue, dizziness, inattention, and brain fog), respiratory post-COVID (dyspnea, chest pain, and cough), and mental health related symptoms (insomnia, depression, and post-traumatic stress disorder). Additionally, gastro-intestinal post COVID-19 (diarrhea, vomiting, and abdominal pain) along with decline in quality of life and decreased ability to perform activities of daily living were reported. The response to post COVID-19 symptoms is still in its infancy despite being an emerging crisis as scientific evidence and robust data are nonetheless required for clear definition, identification of time frame, classification and management of the condition. New studies are needed to identify total and individual incidence/prevalence rates of different clinical presentations of post COVID-19 symptoms. These future studies will help us to o improve early recognition of long term symptoms after acute infection of COVID-19.
Mini Review
Open Access August 24, 2022

Epidemiological and Histopathological Features of Ocular Tumors in Bukavu, Democratic Republic of the Congo

Abstract Introduction: The purpose of this study was to describe epidemiological and histopathological features of ocular tumors in Bukavu in the Democratic Republic of the Congo. Methods: it is a cross-sectional descriptive study of the analysis of 103 consecutive anatomical pieces taken after tumor removal from two ophthalmology services in Bukavu city from January 2018 to December 2020. Results: Children accounted for 40% of patients and ocular tumors were unilateral in 84.5% of cases. The most common locations were the retina (34.8%), conjunctiva (33.7%) and eyelids (22.8%). Benign tumors predominated (51.4%), followed by malignant tumors (37.9%), and undetermined tumors (15.5%). The main histological forms found were retinoblastoma (34.8%), conjunctival nevus (20.6%), and palpebral granuloma (16.3%). Conclusion: [...] Read more.
Introduction: The purpose of this study was to describe epidemiological and histopathological features of ocular tumors in Bukavu in the Democratic Republic of the Congo. Methods: it is a cross-sectional descriptive study of the analysis of 103 consecutive anatomical pieces taken after tumor removal from two ophthalmology services in Bukavu city from January 2018 to December 2020. Results: Children accounted for 40% of patients and ocular tumors were unilateral in 84.5% of cases. The most common locations were the retina (34.8%), conjunctiva (33.7%) and eyelids (22.8%). Benign tumors predominated (51.4%), followed by malignant tumors (37.9%), and undetermined tumors (15.5%). The main histological forms found were retinoblastoma (34.8%), conjunctival nevus (20.6%), and palpebral granuloma (16.3%). Conclusion: Ocular tumors are common in Bukavu. Histopathological examination remains essential to guide management to reduce the risk of recurrence and related complications.
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Review Article
Open Access August 04, 2022

Role of Probiotics in COVID-19 Management?

Abstract Probiotics as an intestinal microbe regulator, not only improve the ability of the gastrointestinal microbiota to modulate immune activity, but also strengthen the body's immune system, inhibit allergic reactions and has a significant role especially in the anti-viral immunomodulation. Therefore, in patients with COVID-19, the intestinal micro-eco-regulator, represented by probiotics, may be a [...] Read more.
Probiotics as an intestinal microbe regulator, not only improve the ability of the gastrointestinal microbiota to modulate immune activity, but also strengthen the body's immune system, inhibit allergic reactions and has a significant role especially in the anti-viral immunomodulation. Therefore, in patients with COVID-19, the intestinal micro-eco-regulator, represented by probiotics, may be a therapeutic choice. However, there is still a lack of evidence-based studies to support probiotic treatment of patients with COVID-19. New cohort studies and randomized controlled clinical trials to assess the effectiveness of probiotics in the management of COVID-19 are strongly and urgently needed.
Opinion
Open Access August 02, 2022

Causes, Effects and Management of Science Anxiety among Senior High School Students in Old Tafo Municipality of Ghana

Abstract The purpose of the study was to investigate the causes, effects, and management of science anxiety among Senior High School (SHS) students in the Old Tafo Metropolis of the Ashanti Region of Ghana. The descriptive survey research design was adopted for the study. A sample of 337 students were selected from Osei Kyeretwie Senior High School and Al Azhariya Islamic Senior High School using the [...] Read more.
The purpose of the study was to investigate the causes, effects, and management of science anxiety among Senior High School (SHS) students in the Old Tafo Metropolis of the Ashanti Region of Ghana. The descriptive survey research design was adopted for the study. A sample of 337 students were selected from Osei Kyeretwie Senior High School and Al Azhariya Islamic Senior High School using the stratified random sampling procedure. Data were collected by using the Science Anxiety Scale and analysed using descriptive and inferential statistics. The study revealed that the respondents had some level of science anxiety in relation to doing science homework, having a negative attitude toward the science teacher, having fearful when entering the science classroom as well as solving science problems. The study also revealed that the causes of science anxiety involve the content, lack of infrastructure, and inadequate teaching and learning materials to make the subject easy to understand. The study revealed that science anxiety affected students’ academic performance negatively, reduced their interest in science, prevent them from pursuing science programmes in the future, and also affected school attendance. The study recommended that school heads should provide the necessary infrastructure and teaching materials that will make the teaching and learning of science practical and easy to understand.
Article
Open Access August 01, 2022

Counselling as a Critical Tool in Managing Ill-Discipline in Colleges of Education in Ghana

Abstract Ill-discipline has become a canker that threatens the moral fibre of institutions. This study aimed to explore the comprehensive counselling approaches that could be used to manage ill-discipline acts in Colleges of Education in Ghana. A qualitative discourse analysis study design was employed in the study. In all, 25 respondents were purposively selected from five colleges of education for the [...] Read more.
Ill-discipline has become a canker that threatens the moral fibre of institutions. This study aimed to explore the comprehensive counselling approaches that could be used to manage ill-discipline acts in Colleges of Education in Ghana. A qualitative discourse analysis study design was employed in the study. In all, 25 respondents were purposively selected from five colleges of education for the study using a semi-structured interview guide. Data collected were transcribed, coded, categorised and qualitatively analysed under themes that emerged from the analysis using the thematic approach. The study revealed that several ill-discipline acts exist in colleges of education, with perversion being the most prevailing ill-discipline act. The study recommended that the college council and management should put adequate measures in place to strengthen Guidance and Counselling units in the colleges of education. The study also recommended that college counsellors should be equipped to use appropriate counselling approaches and techniques to counsel students to desist from indulging in ill-discipline acts.
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Article
Open Access July 13, 2022

The Cuabal of Callejón de Los Patos, in Santa Clara: Need for Its Sustainability

Abstract In Cuba, the great diversity and high endemism of the plant formations on serpentine stand out. Cuabales (scrub xeromorphic thorny on serpentine) present important natural values for the sustainability of Cuban biodiversity, but with a high degree of vulnerability. Although there are currently several investigations into the flora and vegetation of these ecosystems, there is a scientific vacuum on [...] Read more.
In Cuba, the great diversity and high endemism of the plant formations on serpentine stand out. Cuabales (scrub xeromorphic thorny on serpentine) present important natural values for the sustainability of Cuban biodiversity, but with a high degree of vulnerability. Although there are currently several investigations into the flora and vegetation of these ecosystems, there is a scientific vacuum on the conservation of these plant formations, from the social point of view. In the Callejón de Los Patos of Santa Clara, there is a cuabal, although it presents a high level of deterioration, due to anthropic activity. This research focused on assessing environmental management for the sustainability of the cuabal of Callejón de Los Patos of Santa Clara. The methodological perspective that predominated in the research process was qualitative and quantitative analysis of the data was incorporated to better visualize the trend in the analysis of the results. The investigative methods used were: observation, document analysis, in-depth and structured interviews. The diagnosed results showed insufficient knowledge, in the inhabitants of Callejón de Los Patos, related to the cuabal, its sustainability, and its importance. The absence of collective projection of actions to mitigate environmental problems identified in the settlement, that affect the deterioration of said plant formation was detected; results demonstrate poor environmental management for the sustainability of cuabal.
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Article
Open Access July 04, 2022

Recycling Fabric Waste into Functional Interior Decoration Pieces

Abstract This study seeks to collect, recycle and repurpose fabrics waste into decorative household items to reinforce the concept of recycling as a viable alternative to indiscriminate dumping that leads to environmental pollution. It has been observed that garment producers, fashion designers, dressmakers, seamstresses and tailors generate several quantities of fabric waste which are initially piled up [...] Read more.
This study seeks to collect, recycle and repurpose fabrics waste into decorative household items to reinforce the concept of recycling as a viable alternative to indiscriminate dumping that leads to environmental pollution. It has been observed that garment producers, fashion designers, dressmakers, seamstresses and tailors generate several quantities of fabric waste which are initially piled up to occupy space at their workshops then later disposed indiscriminately. For this studio-based study, an average of 300kg of fabric remnants which are generated by the 30 workshops of garment producers in four suburbs of Kumasi in the Ashanti region of Ghana were collected. The fabric waste was sorted into types, sizes, colours and textures, out of the 300kg collected, approximately 250kg were identified as cotton and the remaining 50kg were an assortment of polyester, nylon, rayon, wool, acetate and sateen. It also came out that the garment producers lack adequate knowledge on waste management, hence the indiscriminate disposal of the waste fabrics. The need for effective means of recycling without adverse repercussion to the environment was found critical. Based on the idea of recycle art, 280 kilograms of the fabric waste collected were converted into interior decoration pieces such as a pair of footrest, a set of arm rest, a set of chair-back, Others include a set of table mats, a set of placemats, a door mat, and a set of curtains and window blinds. It is anticipated that such craft activities will serves as pointers to craft people about the potential of waste fabrics as cheaper raw materials for diverse products and by extension help to reduce the waste management problems associated with fabric waste.
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Review Article
Open Access June 13, 2022

Factors Associated with Post-caesarean Complications in Emergency of Gynecology-Obstetrics Service of Saint Joseph Hospital in Kinshasa, Democratic Republic of the Congo

Abstract Caesarean section is the most common surgical procedure in obstetrics, but also in pregnant women with dystocia. The purpose of this study is to identify factors that contribute to post-caesarean complications in emergency of gynecology-obstetrics service of Saint Joseph Hospital in Kinshasa. This is a descriptive cross-sectional study and was conducted at Saint Joseph Hospital in Kinshasa city [...] Read more.
Caesarean section is the most common surgical procedure in obstetrics, but also in pregnant women with dystocia. The purpose of this study is to identify factors that contribute to post-caesarean complications in emergency of gynecology-obstetrics service of Saint Joseph Hospital in Kinshasa. This is a descriptive cross-sectional study and was conducted at Saint Joseph Hospital in Kinshasa city for a month (1st and 30th July 2021). A questionnaire was used to collect different data namely socio-demographic characteristics and different variables important for the study. Independent variables were factors related to the parturient and the current pregnancy, the surgical procedure and the operational room. While the dependent variable was post-caesarean complications in gynecology-obstetrics service. Descriptive statistical analyses namely frequency and percentage were done to describe the sample profile. To measure the strength of association between different variables were estimated using Pearson's Chi-Square (X2) test and the p-value was 0.05. Data analysis was performed using SPSS version 20 software. The majority of participants are over 33 years of age, have secondary school skills, married and have 3 to 4 children. It was observed that 88.2% of participants have acute respiratory distress prior to caesarean section, 76.6% have a personal history of thromboembolic disease prior to caesarean section. All the participants who underwent caesarean section were victims of external ventilation through the windows of the operating room, which remained open before, during and after the surgery and benefited from antibiotic treatment without any para-clinical analysis before the caesarean section. Furthermore, 82.4% of participants had benefited from the caesarean section with sterilized care materials 48 hours before and after the intervention. While 47.1% of participants had caesarean sections with defective equipment for the operation (use of dry heat sterilization etc.). A better identification of these risk factors can reduce significantly rate of complications and can consequently improve the maternal-infantile prognosis. The obstacles to effective management are related to the provision of quality services.
Article
Open Access June 12, 2022

An Appraisal of Teachers’ Intrinsic and Extrinsic Motivation in Ghana: Leadership for Learning

Abstract The purpose of the study was to examine teachers’ intrinsic and extrinsic motivation in leadership for learning (LfL) in Aboabo Educational Circuit (AEC) in the Ashanti Region of Ghana. The study employed an explanatory correlational quantitative research approach. The population of the study consisted of ten (10) headmasters and forty-two (42) teachers in public Junior High Schools (JHS) of [...] Read more.
The purpose of the study was to examine teachers’ intrinsic and extrinsic motivation in leadership for learning (LfL) in Aboabo Educational Circuit (AEC) in the Ashanti Region of Ghana. The study employed an explanatory correlational quantitative research approach. The population of the study consisted of ten (10) headmasters and forty-two (42) teachers in public Junior High Schools (JHS) of Aboabo Educational Circuit. Convenience, purposive and quota sampling techniques were used to select schools, headteachers and teachers for the study. The main instrument used for data collection was questionnaire. Spearman’s rank order correlation was used to analyse research hypotheses 1 and 2; Wilcoxon test was also used to analyse research hypothesis 3. The study revealed that intrinsic teachers’ motivation is negatively related to Leadership for Learning within the AEC. The study also indicated that extrinsic teachers’ motivation has an insignificant positive association with Leadership for Learning within the AEC. The study also concluded that there is a significant difference between Intrinsic Teacher Motivation (ITM) and Extrinsic Teacher Motivation (ETM) in AEC. Therefore, ITM and ETM plays minimal or no role within AEC. It is recommended that the officers within AEC must not focus only on high pupils’ academic achievement at the detriment of taking appropriate steps to make classroom teaching interesting and attractive. It is also recommended that School Management Committees within AEC must in their small way do their best to boost the extrinsic motivation of teachers within the circuit.
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Article
Open Access June 09, 2022

The role of Diversity in The war of Talents

Abstract This article provides an overview of the opportunities and risks of Diversity Management. It also attempts to close the research gap that results from the interrelationship between Diversity Man-agement and the War of Talents. The thesis is that the full benefits of Diversity Management in the War of Talents can only be real-ized if an appropriate diversity strategy has been established and [...] Read more.
This article provides an overview of the opportunities and risks of Diversity Management. It also attempts to close the research gap that results from the interrelationship between Diversity Man-agement and the War of Talents. The thesis is that the full benefits of Diversity Management in the War of Talents can only be real-ized if an appropriate diversity strategy has been established and communicated. Through teleological and historical perspectives as well as causal research of the topics and inter-faces, research questions will be answered and research gaps will be closed. The article thus pre-sents the essential theories on the significance of Diversity Management in the War of Talents. Mutual dependencies can thus be identified in order to assess the impact of Diversity Manage-ment. The bottom line is that diversity efforts must be concentrated and qualitative. A solid strategy forms the basis for this. However, external, non-operational influences are also of decisive im-portance for successful Diversity Management.
Theoretical Conceptual Article
Open Access June 09, 2022

Correlation of non-profit organisations to the occupational integrability of savants

Abstract The savant syndrome is a syndrome that is associated with certain cognitive disorders and is as-sociated with limitations but also with individual significant abilities. The nature and expression of the syndrome is very heterogeneous, which means that many facets of the syndrome have not yet been researched. The object of the study described below was to approach the research gap on the topic of [...] Read more.
The savant syndrome is a syndrome that is associated with certain cognitive disorders and is as-sociated with limitations but also with individual significant abilities. The nature and expression of the syndrome is very heterogeneous, which means that many facets of the syndrome have not yet been researched. The object of the study described below was to approach the research gap on the topic of "work and employment" in particular with initial results, since up to now both topics have only been adequately researched in isolation. In doing so, the influence of the profit orienta-tion of organisations on the employability of savants was investigated. Correlations between non-profit organisations and companies with other parameters such as the implementation of a company health management or the general employment of severely disabled people could al-ready be proven in previously conducted studies. The method used was a quantitative survey of 465 dependent employees. The ability to integrate was expressed by a total score, which was an additive index consisting of the dimensions strengths, weaknesses and framework conditions. Although the proportion of severely disabled employees is higher in the public sector and compa-ny health management is also partly obligatory, no significant differences in the employability of island gifted people could be found compared to the free economy.
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Article
Open Access May 10, 2022

Perceptions and Effective Implementation of Peace Education in Senior High Schools in the Central Region of Ghana

Abstract The purpose of the study was to examine the perceptions and effective implementation of peace education in Senior High Schools in Ekumfi District in the Central Region of Ghana. The study was underpinned by the Integrative Theory of Peace Education (ITPE) [1]. The study adopted the mixed methods approach where the exploratory sequential mixed method design was employed. The convenience and [...] Read more.
The purpose of the study was to examine the perceptions and effective implementation of peace education in Senior High Schools in Ekumfi District in the Central Region of Ghana. The study was underpinned by the Integrative Theory of Peace Education (ITPE) [1]. The study adopted the mixed methods approach where the exploratory sequential mixed method design was employed. The convenience and stratified random sampling techniques were used to select 20 and 350 participants for the qualitative and quantitative stages of the study respectively. Semi-structured interview guide and questionnaire were the main tools used to collect data for the study. The qualitative data were analyzed through the thematic approach with the help of NVivo 12 Plus while the quantitative data were analyzed using descriptive statistics like mean, frequency, and standard deviation with the aid of SPSS version 20. The study indicated that peace education in the schools is relevant in mentoring students who would be advocates of peace in their respective communities, preparing future leaders who are required to uphold peace and espouse peaceful attributes in their dealings with the publics as well as championing the path of national development. The study also revealed that teachers needed to be trained on the principles, knowledge, and skills required to effectively deliver peace education in the schools. The point is made that when these challenges are tackled, it will pave the way for the smooth implementation of peace education in the schools. It is recommended that peace education should be accorded the needed importance in the school curriculum. It is also recommended that the management of the schools should design and implement co-curricular programmes that are tailored towards the delivery of peace education to the students. It is further recommended that the National Council for Curriculum and Assessment (NaCCA) of the Ghana Education Service should incorporate peace education as a topic in the Social Studies curriculum as part of the curriculum reforms for the Senior High Schools in Ghana.
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Article
Open Access April 17, 2022

Dominant Parenting Style of Parents in Aowin Municipality in the Western North Region of Ghana

Abstract The aim of the research was to examine the influence of parenting styles on academic performance of students in Aowin Municipality in the Western North Region of Ghana. Descriptive survey design was employed to collect quantitative data from the respondents. The study targeted all final year public junior high school students in the Aowin Municipality. A multi-stage sampling technique which [...] Read more.
The aim of the research was to examine the influence of parenting styles on academic performance of students in Aowin Municipality in the Western North Region of Ghana. Descriptive survey design was employed to collect quantitative data from the respondents. The study targeted all final year public junior high school students in the Aowin Municipality. A multi-stage sampling technique which involved the use of probability sampling techniques was employed to select 252 respondents with 142 boys and 110 girls. The main data collection instrument was questionnaire with 46 items. Document analysis was also performed on the pupils’ end of term examination results. Means, standard deviation, multiple regression, Pearson’s Product Moment Correlation and Chi-square were employed to analyse the data. The results revealed that authoritative parenting style dominates in parents of the JHS students in the municipality. The study concluded that, Authoritative parenting style predominates in JHS students in the Aowin municipality. There was a correlation between the parenting style of parents and the academic performance of JHS students. It was seen that, student coming from the authoritative parenting style had high performance than those coming from the authoritarian, permissive and neglectful parenting style. Students from neglectful parenting homes demonstrated low performance in school. It is recommended that policies should be developed by Ministry of Education to encourage parents to adopt appropriate parenting styles like the authoritative parenting style which has been revealed by this study as related to good academic performance. Management of various schools should collaborate with Parent-Teacher Association to organize seminars and workshops to educate parents on the influences of the various parenting styles on their children academic performance. This will enlighten parents on employing effective parenting style like authoritative parenting style that has been revealed by this study to correlates with high academic performance.
Article
Open Access March 26, 2022

Role of Ivermectin in Management of COVID-19

Abstract The pandemic corona virus disease 19 (COVID-19), caused by (SARS-CoV-2) a single stranded-RNA virus, has been spread rapidly worldwide with high rate of morbidity and mortality. Few months after the spread of the pandemic, few medications have proven to be efficient in human clinical trials. Several antiviral drugs have been used outside the scope of their initial medical use, such as lopinavir, [...] Read more.
The pandemic corona virus disease 19 (COVID-19), caused by (SARS-CoV-2) a single stranded-RNA virus, has been spread rapidly worldwide with high rate of morbidity and mortality. Few months after the spread of the pandemic, few medications have proven to be efficient in human clinical trials. Several antiviral drugs have been used outside the scope of their initial medical use, such as lopinavir, hydroxychloroquine or azithromycin. Recent researches were done to show the efficacy of ivermectin in reducing SARS-CoV-2 viral RNA within 2 days. The use of ivermectin in in vitro studies has proven its efficacy against Corona virus. Based on the potency of ivermectin in in vitro studies, various clinical trials including patients infected with COVID-19 have been started; most of them have not been completed yet. Since the way how the virus infects the cells in vitro and in vivo is different, a decisive comment about how the ivermectin could exactly be beneficial to the patients has not been proven yet. Nevertheless, if ivermectin is compared to the other therapeutic treatments available for COVID-19 management, ivermectin has proved to have leverage over them. New randomized controlled clinical trials to assess the effectiveness of ivermectin the management of COVID-19 are strongly and urgently needed.
Mini Review
Open Access March 20, 2022

Botanical education for vocational training students and primary and secondary teacher

Abstract A domain of practical learning over the theoretical is provided in this work, for this several places of natural interest have been studied (Natural Parks), a quality pedagogical training is obtained, through which the students of Vocational Training and Primary and Secondary Education Teachers obtain competences in the management of natural spaces, which are of interest for conservation, [...] Read more.
A domain of practical learning over the theoretical is provided in this work, for this several places of natural interest have been studied (Natural Parks), a quality pedagogical training is obtained, through which the students of Vocational Training and Primary and Secondary Education Teachers obtain competences in the management of natural spaces, which are of interest for conservation, competences in flora, plant communities, habitats and interpretation of the landscape. The learning is eminently practical, which allows trained personnel to enter the labor market. The study of natural spaces has been carried out using direct observation techniques, with the participation of specialist teachers in various fields, because the interpretation of vegetation, habitats and landscape requires multidisciplinary techniques. For this, teaching methodologies in Botany are used, how have the phytosociological sampling techniques been; Geology, Edaphology, and Climatology, in the latter case creating future predictive models that allow the student to make decisions about the management of a territory; this study has made it possible to carry out a comprehensive interpretation of the natural environment, with a notable pedagogical improvement in learning.
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Article
Open Access February 22, 2022

Melatonin could be used for Treatment of COVID-19?

Abstract Coronaviruses (CoVs) are a broad family of potentially serious RNA viruses that are now causing an outbreak of respiratory disease known as CoV disease 2019 (COVID-19). Melatonin is a pineal hormone that is predominantly produced and released at night from the amino acid tryptophan. Melatonin and its metabolites are also important in immunomodulation, and they have antioxidative properties due to [...] Read more.
Coronaviruses (CoVs) are a broad family of potentially serious RNA viruses that are now causing an outbreak of respiratory disease known as CoV disease 2019 (COVID-19). Melatonin is a pineal hormone that is predominantly produced and released at night from the amino acid tryptophan. Melatonin and its metabolites are also important in immunomodulation, and they have antioxidative properties due to their capacity to scavenge reactive oxygen species both directly and indirectly. COVID-19 leads to changes of altered consciousness levels in about 15% of hospitalized patients, starting from somnolence to disorientation, delirium, stupor, and coma. Melatonin can decrease the molecules that cause delirium in the elderly and central respiratory depression, such as benzodiazepines and antipsychotics. Melatonin may help alleviate infection-induced acute respiratory distress as well as its diverse effects, which include anti-inflammatory, antioxidative, and immune-enhancing properties. Its supplemental dose may be able to prevent SARS-COV-2 infections by reversing aerobic glycolysis via suppression of both HIF-1 and mTOR, allowing pyruvate dehydrogenase complex activity to be suppressed and acetyl-coenzyme A to be produced. When mitochondrion-produced and parenteral melatonin are combined, the cytokine storm is reduced, and COVID-19 infection-induced damage is alleviated. In conclusion, melatonin could have an important role in the management of COVID-19.
Mini Review
Open Access February 21, 2022

Anthropometric diagnosis of 6-59 months Children with Severe Acute Malnutrition: Weight for Height-Z scores Versus Mid Upper Arm Circumference

Abstract An unhealthy dietary habit leads to excess calorie consumption (overnutrition) or inadequate supply of one or more essential micronutrients (undernutrition).This nutritional imbalance is assessed by Anthropometric measurements, Biochemical estimations, Clinical examination and assessment of Dietary intakes. Anthropometry is an inexpensive, rapid and non-invasive method that provides details on [...] Read more.
An unhealthy dietary habit leads to excess calorie consumption (overnutrition) or inadequate supply of one or more essential micronutrients (undernutrition).This nutritional imbalance is assessed by Anthropometric measurements, Biochemical estimations, Clinical examination and assessment of Dietary intakes. Anthropometry is an inexpensive, rapid and non-invasive method that provides details on different components of body structure and is highly sensitive to the broad spectrum of nutritional status. Hence, it has always been an important tool for screening and early diagnosis of malnutrition. Undernutrition in below 5 year children is life-threatening epidemic contributing to about 45% of under 5 child deaths. Children with Severe Acute Malnutrition (SAM) are nine times more likely to die, compared to their healthy counterparts. Therefore, early and accurate diagnosis of children with SAM is crucial for its management and prevention of morbidity and mortality from the same. SAM is defined as weight-for-height Z scores (WHZ) below -3SD of the median or a mid upper arm circumference (MUAC) of <115mm in children of 6-59 months age. The cut-offs for MUAC and WHZ are scientifically approximated to each other and both are used to diagnose children with SAM (Severe Wasting). However, the research findings from various countries revealed that the agreement between WHZ and MUAC is poor as both indices classify the children with SAM differently, with a small overlap, which varies greatly among countries. These discrepancies have an implication when using either one alone for measuring the prevalence of acute malnutrition. Therefore, it is pertinent to adopt both WHZ and MUAC indices to assess the burden of severe acute malnutrition (SAM) in the community.
Review Article
Open Access February 04, 2022

May-Thurner Syndrome in Pregnancy: A Case Report

Abstract May-Thurner Syndrome, left iliac vein compression by the right iliac artery, is a congenital permissive lesion that requires an additional insult prior to the onset of symptoms. We present a case of a 31-year-old gravida 1 para 0 at 28.6 weeks who presented to the emergency room with a 2-month history of progressive lower left leg swelling since 21.2 weeks’ gestation. The patient endorsed [...] Read more.
May-Thurner Syndrome, left iliac vein compression by the right iliac artery, is a congenital permissive lesion that requires an additional insult prior to the onset of symptoms. We present a case of a 31-year-old gravida 1 para 0 at 28.6 weeks who presented to the emergency room with a 2-month history of progressive lower left leg swelling since 21.2 weeks’ gestation. The patient endorsed incidence of domestic violence at 17 weeks’ gestation. The patient had a twin sister who was also pregnant and had not experienced these symptoms. Physical exam revealed 3+ pitting edema in the left lower extremity from ankle to groin. There was left calf tenderness with negative Homan’s sign bilaterally. Overall finding on magnetic resonance angiography revealed severe compression of the upper left common iliac vein and lower inferior vena cava by gravid uterus. Conservative management and anticoagulation is instrumental in preventing veno-thromboembolic events in pregnancies complicated by MTS.
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Case Report
Open Access December 16, 2021

Role of Colchicine in Management of COVID-19?

Abstract CoV-2 disease 2019 (COVID-19) pandemic has exerted a great burden on the health and economic systems worldwide. One of the most important factors that affect the severity and prognosis of COVID-19 is the occurrence of hyperstimulation of the immune system resulting in “cytokine storm”. Similar to SARS-CoV, an intracellular complex called nod like receptor family pyrin domain containing 3 (NLRP3) [...] Read more.
CoV-2 disease 2019 (COVID-19) pandemic has exerted a great burden on the health and economic systems worldwide. One of the most important factors that affect the severity and prognosis of COVID-19 is the occurrence of hyperstimulation of the immune system resulting in “cytokine storm”. Similar to SARS-CoV, an intracellular complex called nod like receptor family pyrin domain containing 3 (NLRP3) inflammasome was found to be activated by SARS-CoV-2, then in turn stimulates several interleukins and initiates the inflammatory cascade. In addition, other inflammatory mediators such as interferons e.g., IFN-α, and IFN-γ, interleukins e.g., IL-1β, IL-12, IL-18, tumor necrosis factor-α (TNF- α), and chemokines e.g., CCL2, CXCL10 have been reported in severely ill patients. These mediators represent the corner stone in developing cytokine storm that results in uncontrolled systemic inflammatory reaction with subsequent acute respiratory distress syndrome (ARDS), multiple organ failure and eventually death. Based on its anti-inflammatory effects, colchicine has also gained attention to be utilized in the management of COVID-19 patient. Colchicine exerts its anti-inflammatory effect through inhibition of formation of microtubules which is considered an essential step in several cellular processes such as division, signalling, and migration. Also, colchicine affects the cytokine cascade by inhibiting IL-1β leading to reduction in neutrophils recruitment, free radicles production and inflammasome stimulation. This raises the concerns about the effectiveness of colchicine in COVID-19 treatment and the possibility of providing an improvement of the clinical course of the disease.
Mini Review
Open Access October 28, 2021

Development of an Improved Solid Waste Collection System using Smart Sensors

Abstract Waste collection system has become a challenging task, occasioned by the overflowing garbage bins littered all over the environment, causing environmental hazard and further leading to incurable diseases which endanger life. The present-day waste collection system has proven to be inefficient, taking into consideration the advancement in the technologies on the rise in recent years as well as the [...] Read more.
Waste collection system has become a challenging task, occasioned by the overflowing garbage bins littered all over the environment, causing environmental hazard and further leading to incurable diseases which endanger life. The present-day waste collection system has proven to be inefficient, taking into consideration the advancement in the technologies on the rise in recent years as well as the continuous increase in population growth. As a result of this inefficiency observed, this work developed a model for electronic waste collection system in a telecommunication driven environment. In the system's implementation, PIC18F4620 based instrumentation, integrated with proximity sensor for external monitoring and level sensors for internal monitoring was adopted, while the controlling of the opening and closing of the cabins was implemented using a smart switching board. A remote reporting to the waste management authority so as to systematically plan route-map for garbage collection when the waste cabin is fully filled was done by deploying a 900MHz transmitter interfaced with the system’s controller. The result shows that with this model the waste cabin opens only on account of a user approaching the sensing distance of the system and the cabin is not filled. But when the cabin gets filled and a user approaches the sensing distance of the system, it directs the user to use the nearest waste cabin by displaying a message on the LCD (Liquid Crystal Display), while communicating with relevant authority for the evacuation of the cabin via SMS. It was obviously seen that the automation incorporated into the system had zero impact on the success rate of the system or system availability while introducing a latency of 5.6seconds, which is just 28.0% of the maximum allowable latency of this kind of system, while protecting the environment from environmental pollution and spread of diseases. This work highlights the potentials of (EWCS) Electronic Waste Collection System in monitoring and controlling waste disposal for healthy and clean environment.
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Article
Open Access September 30, 2021

An Evaluation of the Anti-Fraud Regime in Saudi Arabia from the Islamic Shariah Perspective

Abstract The purpose of this article was to look into Saudi anti-fraud legislation and regulations in order to see how consistent the Kingdom's legal system, which is predominantly found on Islamic principles, is with a wide range of criminal and economic infractions. The main laws relating to fraud were described, and numerous types of fraud were examined, in order to attain this purpose. The discourse [...] Read more.
The purpose of this article was to look into Saudi anti-fraud legislation and regulations in order to see how consistent the Kingdom's legal system, which is predominantly found on Islamic principles, is with a wide range of criminal and economic infractions. The main laws relating to fraud were described, and numerous types of fraud were examined, in order to attain this purpose. The discourse also necessitated an examination of the Islamic perspective on deception and fraud. The analysis revealed that Shariah law, which is concerned with property protection, incriminates and punishes individuals who obtain wealth by illegal methods, the nature of the sanctions, however, is left to the discretion of rulers and judges. Based on this, Saudi legislators have enacted a set of anti-fraud measures. These laws were examined to see how well they addressed economic crimes in the Kingdom. Anti-fraud legislation establishes a legal and regulatory framework compatible with Islamic Shariah for dealing with fraud and economic crimes, with the goal of protecting the public interest, maintaining integrity, and regulating the Kingdom's economy. The primary goal of this study is to explore the challenges and risks associated with enforcing anti-fraud laws in the context of Islamic justice principles. In this study, a descriptive research design was adopted. The key objective of this study is to determine the nature of the problem and analyze the evidence collected. Because of the lack of secondary data and the rigorous restrictions governing the reporting of fraud incidents in Saudi Arabian financial institutions. The study's hypotheses could not be tested substantively because all assumptions concerning the research findings are far-fetched.
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Review Article
Open Access September 25, 2021

Micrographic Profiling and Phytochemical Analysis of Some Plants Consumed by Okapia johnstoni (Giraffidae: Mammalia) in Democratic Republic of the Congo

Abstract The aim of this study was to determine the phytochemical composition and micrographic charac-teristics of the plants consumed by Okapia johnstoni. The results indicate that each plant species has characteristic microscopic elements for its identification. These plants are rich in phenolic acids, anthocyanins, flavonoids, anthraquinones, coumarins, terpenoids and iridoids. Alchornea cordifolia is [...] Read more.
The aim of this study was to determine the phytochemical composition and micrographic charac-teristics of the plants consumed by Okapia johnstoni. The results indicate that each plant species has characteristic microscopic elements for its identification. These plants are rich in phenolic acids, anthocyanins, flavonoids, anthraquinones, coumarins, terpenoids and iridoids. Alchornea cordifolia is richer in total polyphenols (198.53±3.39 mg GAE/g DM) followed respectively by Musanga cer-copioides (91.87±6.71 mg GAE/g DM), Macaranga spinosa (59.65±6.54 mg GAE/g DM), Ficus val-lis-choudae (46.37±2.43 mg GAE/g DM), Cola acuminata (38.83±4.04 mg GAE/g DM), Pycnanthus angolensis (31.96±3.45 mg GAE/g DM), Alstonia boonei (31.55±1.60 mg GAE/g DM) and Trilepisium madagascariensis (25.18±0.99 mg GAE/g DM). As for flavonoids, the highest content is obtained in T. madagascariensis followed respectively by A. boonei, Pycnanthus angolensis, Cola acuminata, M. spinosa, F. vallis-choudae, M. cercopioides and A. cordifolia. The difference in the content of secondary me-tabolites is justified by the fact that their expression in the plant is a function of both abiotic and biotic factors and the specificity of each plant species linked to its genetic make-up. The charac-terization of these chemical compounds is necessary for the formulation of herbal medicines for the management of Okapi ex situ or for human health. Also, the microscopic profiles of the leaves powder of the studied plant species provide relevant information, which may be helpful for the plant authentication and for quality control of raw material.
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Article
Open Access September 25, 2021

The (un) Fruitful Training

Abstract Training is an essential HR function. Organizations impart training to make sure that their employees stay updated and up-skilled for the tasks assigned or to be assigned. To this end, it becomes important to give training based on certain criteria to assess the training needs. Whenever the training need assessment is not done properly, the context of training jeopardizes. The following case study [...] Read more.
Training is an essential HR function. Organizations impart training to make sure that their employees stay updated and up-skilled for the tasks assigned or to be assigned. To this end, it becomes important to give training based on certain criteria to assess the training needs. Whenever the training need assessment is not done properly, the context of training jeopardizes. The following case study is meant to be used as a supplement to teach the training need assessment. The case highlights the importance of training need assessment and how issues crop up when need assessment is not done appropriately.
Caselet
Open Access September 23, 2021

Examination of the Creation of a Positive Culture of Teaching and Learning through Classroom Management

Abstract This study aims to examine the creation of a positive culture of teaching and learning through classroom management to improve learner performance within the Kwa-Mhlanga North-East circuit in Mpumalanga province. This is a qualitative study that uses an inductive approach and a case study. For this study, interviews, observation, and document analysis were used to collect data. This study made use [...] Read more.
This study aims to examine the creation of a positive culture of teaching and learning through classroom management to improve learner performance within the Kwa-Mhlanga North-East circuit in Mpumalanga province. This is a qualitative study that uses an inductive approach and a case study. For this study, interviews, observation, and document analysis were used to collect data. This study made use of thematic content analysis. Three schools were selected out of twenty-five and three participants from each school were representative of the entire population of one thousand one hundred educators in the circuit. Participants were selected purposively. The interviews were done face to face with participants from three sampled schools at scheduled times with each participant. This study found that the schools, namely School A, School B and School C use different policies in creating a positive culture of teaching and learning, policies such as staff attendance policy, assessment policy, learners code of conduct, classroom rules democratically developed, Both educators and learners lack the skill of time management and parents have deserted their responsibilities to guarantee that their children arrive on time at school, attend school daily, do the work given to them in class and discipline their children. The impact of harmonizing the creation of a positive culture of teaching and learning creates an environment where learners feel excited and positive to be part of the school and thus can take initiative. This study contends that there is a positive relationship between the positive culture of teaching and learning and classroom management. This study contributes to the body of knowledge for schools of education and training and development.
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Article
Open Access September 16, 2021

Biodiversity Management under Cashew Agro-ecosystems in Central Africa: A case study from Cameroon

Abstract This study aimed to assess the floristic composition, vegetation structure and species associations of Cashew agro-ecosystems in the North region of Cameroon. The data were collected in 100 m x 20 m transect methods. An analysis of the data collected in the field was conducted around the diversity and richness of the flora, but also the structure of Cashew agro-ecosystems. For the analyzes of vegetation structure, tree density, basal area and biovolume were calculated. The inventory included trees with a dbh greater than or equal to 5 cm on an area of ​​1 ha per plot. The experimental device installed is a complete random Fisher block with five repetitions. A total of 7849 individuals in 17 families, 20 genera and 38 species were recorded. Species Important value of vegetation cover indicated that Diospyros mespiliformis, Anogeissus leiocarpus, Annona senegalensis and Terminalia laxiflora are the most represented. Combretaceae are the most ecologically important families. Additionally, the grouping of species into four subdivisions showed that the Shannon diversity index varies from 2.18 ± 0.09 - 3.47 ± 0.17 bits, Pielou index vary from 0.98 ± 0.01 - 0.99 ± 0.01, Simpson's index ranges from 0.70 ± 0.18 - 0.93 ± 0.11, density ranges from 102 ± 1.92 - 128 ± 6.36 indiv/ha, basal area ranges from 2.02 ± 0.31 - 12.68 ± 2.01 m²/ha, biovolume ranges from 11.58 ± 1.29 - 68.03 ± 13.21 m3/ha. The Sörensen similarity index is very high with floristic affinities greater than or equal to 90%. The diameters and heights structure show a predominance of young individuals for the diameter and height classes on all plots. The most represented species associations are legumes (Arachis hypogeae: 40.54%) and native fruit trees (Vitellaria paradoxa [...] Read more.
This study aimed to assess the floristic composition, vegetation structure and species associations of Cashew agro-ecosystems in the North region of Cameroon. The data were collected in 100 m x 20 m transect methods. An analysis of the data collected in the field was conducted around the diversity and richness of the flora, but also the structure of Cashew agro-ecosystems. For the analyzes of vegetation structure, tree density, basal area and biovolume were calculated. The inventory included trees with a dbh greater than or equal to 5 cm on an area of ​​1 ha per plot. The experimental device installed is a complete random Fisher block with five repetitions. A total of 7849 individuals in 17 families, 20 genera and 38 species were recorded. Species Important value of vegetation cover indicated that Diospyros mespiliformis, Anogeissus leiocarpus, Annona senegalensis and Terminalia laxiflora are the most represented. Combretaceae are the most ecologically important families. Additionally, the grouping of species into four subdivisions showed that the Shannon diversity index varies from 2.18 ± 0.09 - 3.47 ± 0.17 bits, Pielou index vary from 0.98 ± 0.01 - 0.99 ± 0.01, Simpson's index ranges from 0.70 ± 0.18 - 0.93 ± 0.11, density ranges from 102 ± 1.92 - 128 ± 6.36 indiv/ha, basal area ranges from 2.02 ± 0.31 - 12.68 ± 2.01 m²/ha, biovolume ranges from 11.58 ± 1.29 - 68.03 ± 13.21 m3/ha. The Sörensen similarity index is very high with floristic affinities greater than or equal to 90%. The diameters and heights structure show a predominance of young individuals for the diameter and height classes on all plots. The most represented species associations are legumes (Arachis hypogeae: 40.54%) and native fruit trees (Vitellaria paradoxa: 15%). These results show the contribution of Cashew agro-ecosystems in biodiversity conservation.
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Article
Open Access September 02, 2021

Effective Teaching of Social Studies Concepts in Basic Schools in Ghana

Abstract The study focused Effective teaching of Social Studies Concepts in Basic Schools in Ghana. The study adopted the descriptive survey design using quantitative approach. The population for the study consisted of all Social Studies teachers in the Junior High Schools (JHS) in the Tano South District. There were fifty-two Social Studies teachers at the JHS level in the district. Non-probability [...] Read more.
The study focused Effective teaching of Social Studies Concepts in Basic Schools in Ghana. The study adopted the descriptive survey design using quantitative approach. The population for the study consisted of all Social Studies teachers in the Junior High Schools (JHS) in the Tano South District. There were fifty-two Social Studies teachers at the JHS level in the district. Non-probability sampling technique (purposive and convenient sampling techniques) was used for the study. Purposive sampling technique was used to select all the fifty-two teachers and forty-one schools in the Tano South District. While the district was conveniently sampled for this study. The main instrument used to gather data was observation guide. The data gathered was analysed using the Statistical Product using Service Solutions (SPSS). The study concluded that, in respect to the teaching effectiveness of Social Studies teachers, the general performance in all the thematic areas assessed indicate that, Social Studies teachers are not at their optimum best in terms of planning and preparation, instructional skills, classroom management, communication skills and assessment skills. It is therefore recommended that, the Ministry of Education through the Ghana Education Service (GES) in collaboration with all the teacher training institutions training Social Studies teachers should fashion out teacher development programmes such as workshops and short courses for Social Studies teachers. In these programmes, the organisers must ensure that teachers have access to high quality content course work in Social Studies.
Article
Open Access August 21, 2021

E-cigarette Purchase Intention through Facebook Social Media: A Cross-Sectional Study

Abstract Online shopping is a growing phenomenon and social media namely Facebook has radically changed consumers online purchase behaviour; especially the interactive information system of consumers, peers, and vendors. Similar to other online purchasing products or services, e-cigarette marketing in Facebook has potential. This study aims to determine the association between individual’s online [...] Read more.
Online shopping is a growing phenomenon and social media namely Facebook has radically changed consumers online purchase behaviour; especially the interactive information system of consumers, peers, and vendors. Similar to other online purchasing products or services, e-cigarette marketing in Facebook has potential. This study aims to determine the association between individual’s online interaction and e-cigarette purchase intention from Facebook vape groups. A cross-sectional study was conducted among 214 respondents using the Facebook platform from September to December 2019. Data were collected via a self-administered questionnaire. The Chi-square test was used for data analyses using SPSS (version 25.0). Most of the participants were male; the mean age of the respondents was 27.41 ± 2.1. Total 93.9% (201 of 214) and 56.1% (120 of 214) respondents were vaper and smoker respectively. Among the non-smokers, most of the respondents were vaper (84 of 94, 89.4%). Consumers smoking and vaping status were associated with each other (χ2 = 6.11, P=0.01). There was an association between vaping status and purchase intention of e-cigarettes from the Facebook vape group (χ2 = 5.06, P=0.02). Online interactions, namely like (χ2 = 5.88, P <0.01), post (χ2 = 7.16, P <0.01) and sharing (χ2 = 10.14, P <0.01) of the e-cigarette related information or advertisements in social media were associated with purchase intention of e-cigarettes from Facebook vape group. This study revealed individuals vaping and online interactions were associated with an online purchase the intention of e-cigarette in Facebook. Public health researchers and policymakers might contemplate the regulatory environment of online marketing of e-cigarettes to curtail the uptake of e-cigarettes among non-smokers.
Article
Open Access August 21, 2021

Decision Makers for Online Purchases of Fashion Products on Reebonz Online Shopping Sites

Abstract The level of business competition in several online shopping sites for fashion products is currently experiencing quite crucial dynamics. Competitive match will indirectly affect consumer purchasing decisions. This research explores what factors are dominantly influencing the level of product purchase decisions on online shopping sites in terms of product variety, price, brand image and promotion [...] Read more.
The level of business competition in several online shopping sites for fashion products is currently experiencing quite crucial dynamics. Competitive match will indirectly affect consumer purchasing decisions. This research explores what factors are dominantly influencing the level of product purchase decisions on online shopping sites in terms of product variety, price, brand image and promotion aspects. This research design uses a quantitative research design. Determination of the sample in this study using the convenience sampling method with a total of 110 respondents. Data collection uses a questionnaire distributed online during the period from May to June 2021. This study concludes that product variations and brand image have a positive and significant influence on purchasing decisions. Then for the effect of price and promotion on purchasing decisions obtained a positive but not significant impact. This study confirms the importance of paying attention to aspects of pricing and product promotion strategies on the Reebonz online shopping site.
Article
Open Access August 16, 2021

When Water Turns Deadly: Investigating Source Identification and Quality of Drinking Water in Piwoyi Community of Federal Capital Territory, Abuja Nigeria.

Abstract Essentiality of water sustain life, and a satisfactory supply must be readily available to promote health, prolong life expectancy and prevent diseases. This study assesses the sources and quality of drinking water in Piwoyi community of Federal Capital Territory, Abuja, Nigeria. Thirty-five (35) Boreholes and Two (2) Sachet water were identified sources of drinking water in Piwoyi Community. Six [...] Read more.
Essentiality of water sustain life, and a satisfactory supply must be readily available to promote health, prolong life expectancy and prevent diseases. This study assesses the sources and quality of drinking water in Piwoyi community of Federal Capital Territory, Abuja, Nigeria. Thirty-five (35) Boreholes and Two (2) Sachet water were identified sources of drinking water in Piwoyi Community. Six Samples (5 Boreholes and 1Sachet water) were selected at random and analyzed in the laboratory. The Physicochemical parameters examined include electrical conductivity (EC), pH, temperature, turbidity, dissolve oxygen (DO), chloride, total hardness, alkalinity, nitrate, calcium, magnesium, phosphate, phosphorous, sulphate, sodium, potassium, fluoride, bicarbonate, nitrate-nitrogen, nitrite, copper, iron and zinc; and Microbiological parameters include Coliforms, E-coli and Faecal Strep. The results of analysis shows significant concentration of physicochemical and microbiological parameters in the samples of water analyzed according to Nigerian Standard for Drinking Water Quality thereby makes the water unsafe for drinking. Drinking from these sources of water will pose serious health risk to the people of Piwoyi Community. Therefore, the study helps to identify the contaminated locations as well as assist to follow emerging remedial measures toward controlling the contamination source in the community. It also recommends continuous monitoring and enforcement of environmental violations, aggressive sensitization on water sanitation and hygiene; adequate purification of water at domestic level; and government support on potable water supply and establish reasonable management strategies for sustainable water quality protection toward protecting public health.
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Open Access August 14, 2021

Complex Energy Conversion System Analysis: An Overview

Abstract This article describes the optimization models recently applied to the design and operation of power systems towards forming smart grids and identifies trends, barriers, and possible gaps in this area. Models are described to optimize the design and operation of power systems considering renewable energies, distributed generation, microgrids, demand management, and energy storage systems. It was [...] Read more.
This article describes the optimization models recently applied to the design and operation of power systems towards forming smart grids and identifies trends, barriers, and possible gaps in this area. Models are described to optimize the design and operation of power systems considering renewable energies, distributed generation, microgrids, demand management, and energy storage systems. It was concluded that it is necessary to validate many of the models formulated recently to optimize the operation through tests with real data and on a large scale. Furthermore, demand management and microgrids are aspects in which it is necessary to develop models for optimal power flow. Finally, it is necessary to predict stochastic variables with greater precision so that these models adapt to the real behavior of the system.
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Open Access August 14, 2021

An Economic Evaluation of the use of Wind Farms in Iran, Taking into Account the Effect of Energy Price Liberalization Policy

Abstract In this study, the effect of energy cost liberalization policies on the cost-effectiveness of wind farms compared to gas power plants has been investigated. To calculate the cost of electricity generation from various sources, including wind energy and fossil fuels, the “levelized cost” method has been used as the most acceptable economic method to compare different types of electricity generation [...] Read more.
In this study, the effect of energy cost liberalization policies on the cost-effectiveness of wind farms compared to gas power plants has been investigated. To calculate the cost of electricity generation from various sources, including wind energy and fossil fuels, the “levelized cost” method has been used as the most acceptable economic method to compare different types of electricity generation technologies. In addition, calculations related to the cost of electricity, different fuel prices, different technologies of wind farms, and different prices of different types of fuel are considered. Based on the results of this research, it was found that by targeting fuel prices in the country, wind farms are quite cost-effective, and considering the cost of the opportunity to use diesel in the country, the construction of these power plants can provide the possibility of exporting this fuel. This cost also increases with the production of valuable equipment in the country. The important point is that the macro policy should localize the wind turbine industry with priority to its valuable parts and components due to fuel price changes. This policy will continue to make this type of power plant cost-effective in the country and the employment of specialists in the country.
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Open Access August 14, 2021

Oil shocks and the Economic Growth: A Study for Oil-importing and Exporting Countries in the Time of Covid-19

Abstract This article discusses the effect of the oil shock on some OECD oil-importing countries such as Canada, France, Italy, China, and the United States and some OPEC oil-exporting countries such as Algeria, Iran, Kuwait, Saudi Arabia, and Venezuela. The model is estimated for the years 1976-2021. five annual variables are used for each country. The variables within the model include real oil prices, [...] Read more.
This article discusses the effect of the oil shock on some OECD oil-importing countries such as Canada, France, Italy, China, and the United States and some OPEC oil-exporting countries such as Algeria, Iran, Kuwait, Saudi Arabia, and Venezuela. The model is estimated for the years 1976-2021. five annual variables are used for each country. The variables within the model include real oil prices, GDP growth, inflation, real wages, and real effective exchange rates. Real GDP is the main variable that shows the effects of oil prices on the economy, and the impact of oil prices on other model variables will indirectly affect economic activities. For this purpose, we estimate the vector autoregression model. Estimates obtained for different countries show that oil price shocks are one of the variables affecting economic growth. Also, in oil-exporting countries, oil shocks on economic growth are positive and negative in oil-importing countries. Also, Covid-19 is studied as an effective parameter in creating oil shocks.
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Open Access July 27, 2021

Painful and Indurated Hyperchromic Cord of the Arm: Thrombophlebitis of the Cephalic Vein

Abstract We here report a case of an acute cephalic vein thrombophlebitis in a 34-year-old female patient with no known thromboembolic risk factors and no medical history or ongoing treatment. We present the images of her diagnosis, which was made in the presence of a painful and indurated hyperchromic cord of the arm and confirmed by Doppler ultrasound. In the absence of deep extension of the thrombus, [...] Read more.
We here report a case of an acute cephalic vein thrombophlebitis in a 34-year-old female patient with no known thromboembolic risk factors and no medical history or ongoing treatment. We present the images of her diagnosis, which was made in the presence of a painful and indurated hyperchromic cord of the arm and confirmed by Doppler ultrasound. In the absence of deep extension of the thrombus, his management was limited to a symptomatic treatment without anticoagulation and the symptomatology was amended without complication or recurrence.
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Case Report
Open Access July 23, 2021

Soybean Agronomic Performance Does Not Change with Gypsum Application in a Cambisol Submitted to Water Restriction in Southern Brazil

Abstract Water stress is a limiting factors for soybean crop development, and it may increase due to subsurface soil acidity. The use of agricultural gypsum is a way to improve the soil chemical conditions at depth and mitigate the undesirable effects caused by water restriction during drought periods. This study aimed to evaluate whether gypsum application increases soybean yield in water restriction [...] Read more.
Water stress is a limiting factors for soybean crop development, and it may increase due to subsurface soil acidity. The use of agricultural gypsum is a way to improve the soil chemical conditions at depth and mitigate the undesirable effects caused by water restriction during drought periods. This study aimed to evaluate whether gypsum application increases soybean yield in water restriction conditions. The experiment was implemented in 2018 in a Humic Cambisol, Southern Brazil. The treatments consisted of two gypsum management procedures (with 1.4 Mg ha-1 and without application) associated with two water conditions (with and without water restriction). The water conditions were promoted by partially covering the soil with plastic tarpaulin sheets. Soybean was grown in the crop years 2018/19 and 2019/20 to assess root attributes and yield and were analyzed soil chemical characteristics. Water restriction reduced soybean yield by 11.4 and 36.8% in the 2018/19 and 2019/20 harvests, respectively, whereas there was no response to gypsum application. The plants’ root system was not affected by the water conditions or gypsum management. It was concluded that water restriction reduces soybean yield, and agricultural gypsum does not mitigate such loss under the evaluated conditions, even though it positively changes some soil chemical parameters.
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Open Access December 27, 2020

An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods

Abstract Due to influence of Internet, this e-commerce sector has developed rapidly. Most of the online retailing or selling businesses are seeking for way for predicting their products demand. Sales forecasting may help retailers develop a sales strategy that will enhance sales and attract more money and investment. The current research work puts forward a machine learning framework to forecast E-commerce [...] Read more.
Due to influence of Internet, this e-commerce sector has developed rapidly. Most of the online retailing or selling businesses are seeking for way for predicting their products demand. Sales forecasting may help retailers develop a sales strategy that will enhance sales and attract more money and investment. The current research work puts forward a machine learning framework to forecast E-commerce sales for strategic management using a dataset of E-commerce transactions. With 70 percent of the data for train and 30 percent for test, three models were produced, namely, Random Forest, Decision Tree, and XGBoost. In order to evaluate the models, performance measures inclusive of R-squared (R²) and Root Mean Squared Error (RMSE) were employed. Thus, the XGBoost model was the most accurate in marketing predictive capabilities for E-commerce sales with the R² score of 96.3%. This has demonstrated the increased capability of XGBoost algorithm to forecast E-commerce monthly sales more accurately than other models and can assist decision makers for managing inventory and arriving smart and quick decisions in this rapidly growing E-commerce market. The findings reiterate the importance of using advanced analytics in order to drive effectiveness and customer experience within E-commerce sector.
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Open Access December 27, 2021

Leveraging AI in Urban Traffic Management: Addressing Congestion and Traffic Flow with Intelligent Systems

Abstract Traffic congestion across the globe is a multimodal problem, intertwining vehicular, pedestrian, and bicycle traffic. The relationship between the multimodal traffic flow is a key factor in understanding urban traffic dynamics. The impact of excessive congestion extends to the excessive cost spent on traffic maintenance, as well as the inherent transportation inefficiency and delayed travel times. [...] Read more.
Traffic congestion across the globe is a multimodal problem, intertwining vehicular, pedestrian, and bicycle traffic. The relationship between the multimodal traffic flow is a key factor in understanding urban traffic dynamics. The impact of excessive congestion extends to the excessive cost spent on traffic maintenance, as well as the inherent transportation inefficiency and delayed travel times. From an urban transportation standpoint, an immediate consideration on one hand is monitoring traffic conditions and demand cycles, while on the other hand inducing flow modifications that benefit the traffic network and mitigate congestion. Embedded and centralized control systems that characterize modern traffic management systems extract traffic conditions specific to their regions but lack communication between networks. Moreover, innovative methods are required to provide more accurate up-to-date traffic forecasts that characterize real-world traffic dynamics and facilitate optimal traffic management decisions. In this chapter, we briefly outline the main difficulties and complexities in modeling, managing, and forecasting traffic dynamics. We also compare various conventional and modern Intelligent Transportation Strategies in terms of accuracy and applicability, their performance, and potential opportunities for optimization of multimodal traffic flow and congestion reduction. This chapter introduces various proposed data-driven models and tools employed for traffic flow prediction and management, investigating specific strategies' strengths, weaknesses, and benefits in addressing various real-world traffic management problems. We describe that the design phase of dependable Intelligent Transportation Systems bears unique requirements in terms of the robustness, safety, and response times of their components and the encompassing system model. Furthermore, this architectural blueprint shares similarities with distributed coordinate searching and collective adaptive systems. Town size-independent models induce systemic performance improvements through reconfigurable embedded functionality. These AI techniques feature elaborate anytime planner-engagers ensuring near-optimal performances in an unbiased behavior when the model complexity is varied. Sustainable models minimize congestion during peaks, flooding, and emergency occurrences as they adhere to area-specific regulations. Security-aware and fail-safe traffic management systems relinquish reasonable assurances of persistent operation under various environmental settings, to acknowledge metropolis and complex traffic junctions. The chapter concludes by outlining challenges, research questions, and future research paths in the field of transportation management.
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Review Article
Open Access October 29, 2022

Neural Networks for Enhancing Rail Safety and Security: Real-Time Monitoring and Incident Prediction

Abstract The growth in demand for rail transportation systems within cities, together with high-speed and long-distance transportation running on a rail network, raises the issues of both rail safety and security. If an accident or an attack occurs, its consequences can be extremely severe. To mitigate the impact of these events, the real-time monitoring of a rail system is required. In that case, the [...] Read more.
The growth in demand for rail transportation systems within cities, together with high-speed and long-distance transportation running on a rail network, raises the issues of both rail safety and security. If an accident or an attack occurs, its consequences can be extremely severe. To mitigate the impact of these events, the real-time monitoring of a rail system is required. In that case, the improvements in monitoring can be achieved using artificial intelligence algorithms such as neural networks. Neural networks have been used to achieve real-time incident identification in monitoring the track quality in terms of classifying the graphical outputs of an ultrasonic system working with the rails and track bed, to predict incidents on the rail infrastructure due to transmission channels becoming blocked, and also to attempt scheduling preemptive and preventative maintenance. In terms of forecasting incidents and accidents on board the trains, neural networks have been used to model passenger behavior and optimize responses during a train station evacuation. In tackling the incidents and accidents occurring on rail transport, we contribute with two methodologies to detect anomalies in real-time and identify the level of security risk: at the maintenance level with personnel operating along the railways, and onboard passenger trains. These methodologies were evaluated on real-world datasets and shown to be able to achieve a high accuracy in the results. The results generated from these case studies also reveal the potential for network-wide applications, which could enhance security and safety on railway networks by offering the possibility of better managing network disruptions and more rapidly identifying security issues. The speed and coverage of the information generated through the implementation of these methodologies have implications in utilizing prediction for decision support and enhancing safety and security on board the rail network.
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Open Access December 27, 2020

Enhancing Pharmaceutical Supply Chain Efficiency with Deep Learning-Driven Insights

Abstract The growing complexity of the operating environment urges pharmaceutical innovation. This essay addresses the need for the integration of advanced technologies in the pharmaceutical supply chain. It justifies the value proposition and presents a concrete use case for the integration of deep learning insights to make data-driven decisions. The supply chain has always been a priority for the [...] Read more.
The growing complexity of the operating environment urges pharmaceutical innovation. This essay addresses the need for the integration of advanced technologies in the pharmaceutical supply chain. It justifies the value proposition and presents a concrete use case for the integration of deep learning insights to make data-driven decisions. The supply chain has always been a priority for the pharmaceutical industry; research and development recognizes companies' increasing investment in big data strategies, with plans for a CAGR in big data tool adoption. The work presented herein has a preliminary explorative character to recuperate and integrate evidence from partly overlooked practical experience and know-how. The practical relevance of the essay is directed toward practitioners in pharmaceutical production, supply chain management, logistics, and regulatory agencies. The literature has shown a long-term concern for enhanced performance in the pharmaceutical supply chain network. This essay demonstrates the application of deep learning-driven insights to reveal non-evident flow dependencies. The main aim is to present a comprehensive insight into deep learning-driven decision support. The supply chain is portrayed in a holistic manner, seeking end-to-end visibility. Implications for public policy are discussed, such as data equity: many countries are protecting their populations and economic growth by building resilience and efficiency to ensure the capacity to move goods across supply chains. The implementation strategy is covered. The combined reduction of variability, efficiency as matured richness, reliability (on stochastic flows and their understanding through deep learning and data), and system noise (increased dampening through the inclusiveness of all stakeholders) results in increased responsiveness of supply chains for pharmaceutical products. Future work involves the integration of external data, closing the loop between planning and its application in reality.
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Open Access December 27, 2021

Predictive Analytics and Deep Learning for Logistics Optimization in Supply Chain Management

Abstract Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the [...] Read more.
Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the operations of a supply chain. An approach is presented on how predictive analytics can be used to improve logistics operations. In order to analyze big data in logistics effectively, an artificial intelligence computational technique, specifically deep learning, is employed. Two case studies are illustrated to demonstrate the practical employability of the proposed technique. This reveals the power and potential of using predictive analytics in logistics to project various KPI values ahead in the future based on the contemporary data from the logistics operations; sheds light on the innovative technique of employing deep learning through deep learning-based predictive analytics in logistics; suggests incorporating innovative techniques like deep learning with predictive analytics to develop an accurate forecasting technique in logistics and optimize operations and prevent disruption in the supply chain. The network of supply chains has become more complex, necessitating the need for the latest technological advancements. The sectors that have gained a fair amount of attention for the application of technology to optimize their operations are manufacturing, healthcare, aerospace, and the automotive industry. A little attention has been diverted to the logistics sector; many describe how analytics and artificial intelligence can be used in the logistics sector to achieve higher optimization. Currently, significant research has been done in optimizing logistics operations. Nevertheless, with the explosive volume of historical data being produced by the logistics operations of an organization, there is a great opportunity to learn valuable insights from the data accumulated over time for more long-term strategic planning. To develop the logistics operations in an organization, the use of historical data is essential to understand the trends in the operations. For example, regular maintenance planning and resource allocation based on trends are long-term activities that will not affect logistics operations immediately but can affect the business’s strategic planning in the long run. A predictive analysis technique employed on historical data of logistics can narrow down conclusions based on the future trends of logistics operations. Thus, the technique can be used to prevent the disruption of the supply chain.
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Open Access November 02, 2023

Revealing Complexity: Confronting Challenges in the Pharmaceutical API Supply Chain

Abstract The pharmaceutical industry relies extensively on Active Pharmaceutical Ingredients (APIs) as essential components in the production of drugs. The supply chain supporting these APIs is complex, encompassing multiple stages from raw material sourcing to distribution to pharmaceutical manufacturers worldwide. This manuscript explores the intricate challenges encountered within the pharmaceutical API [...] Read more.
The pharmaceutical industry relies extensively on Active Pharmaceutical Ingredients (APIs) as essential components in the production of drugs. The supply chain supporting these APIs is complex, encompassing multiple stages from raw material sourcing to distribution to pharmaceutical manufacturers worldwide. This manuscript explores the intricate challenges encountered within the pharmaceutical API supply chain, focusing on regulatory compliance, quality control, supply chain disruptions, and global dependencies. Regulatory compliance poses a significant hurdle, with varying standards across regions necessitating meticulous adherence to ensure market access and product safety. Quality control and assurance are paramount to maintaining consistency and purity in APIs, yet they present ongoing challenges such as batch variability and contamination risks. Supply chain disruptions, ranging from natural disasters to geopolitical tensions, highlight vulnerabilities in global sourcing strategies, underscoring the need for resilient supply chain management practices. Global dependencies on a limited number of suppliers or regions expose the industry to supply shortages and pricing pressures, exacerbated by geopolitical events and trade policies. These dependencies necessitate strategic diversification and risk mitigation efforts to ensure continuity in API availability and affordability. By addressing these challenges collaboratively, stakeholders can enhance the resilience and reliability of the pharmaceutical API supply chain, thereby ensuring uninterrupted access to essential medications and improving global healthcare outcomes.
Review Article
Open Access December 27, 2022

Advancing Pain Medicine with AI and Neural Networks: Predictive Analytics and Personalized Treatment Plans for Chronic and Acute Pain Managements

Abstract There is a growing body of evidence that the number of individuals suffering from chronic and acute pain is under-reported and the burden of the veteran, aging, athletic, and working populations is rising. Current pain management is limited by our capacity to collaborate with individuals continuing normal daily functions and self-administration of pain treatments outside of traditional healthcare [...] Read more.
There is a growing body of evidence that the number of individuals suffering from chronic and acute pain is under-reported and the burden of the veteran, aging, athletic, and working populations is rising. Current pain management is limited by our capacity to collaborate with individuals continuing normal daily functions and self-administration of pain treatments outside of traditional healthcare appointments and hospital settings. In this review, the current gap in clinical care for real-time feedback and guidance with pain management decision-making for chronic and post-operative pain treatment is defined. We examine the recent and future applications for predictive analytics of opioid use after surgery and implementing real-time neural networks for personalized pain management goal setting for particular individuals on the path to discharge to normal function. Integration of personalized neural networks with longitudinal data may enable the development of future treatment personalizations paired with electrical simulations.
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Open Access December 27, 2023

Leveraging Artificial Intelligence to Enhance Supply Chain Resilience: A Study of Predictive Analytics and Risk Mitigation Strategies

Abstract The management of supply chains is increasingly complex. This study provides a comparative analysis of the cost-benefit analysis for managing various risks. It identifies the financial implications of leveraging artificial intelligence in supply chains to better address risk. Empirical results show a business case for managing some sources of risk more proactively facilitated through predictive [...] Read more.
The management of supply chains is increasingly complex. This study provides a comparative analysis of the cost-benefit analysis for managing various risks. It identifies the financial implications of leveraging artificial intelligence in supply chains to better address risk. Empirical results show a business case for managing some sources of risk more proactively facilitated through predictive modeling techniques offered by AI. Across investigation streams, the use of AI results in an average total cost saving ranging from 41,254 to 4,099,617. Findings from our research can be used to inform managers and theorists about the implications of integrating AI technologies to manage risks in the supply chain. Our work also highlights areas for future research. Given the growing interest in studying sub-second forecasting, our research could be a point of departure for future investigations aimed at considering the impact of forecasting horizons such as an intra-day basis. We formulate a conceptual framework that considers how and to what extent performance evaluation metrics vary according to differences in the fidelity of predictive models and factor importance for identifying risks. We also utilize a mixed-method approach to demonstrate the applicability of our ideas in practice. Our results illustrate the financial implications of integrating AI predictive tools with business processes. Results suggest that real-world companies can circumvent inefficiencies associated with trying to manage many classes of risk via the use of AI-enhanced predictive analytics. As managers need to justify investment to top management, our work supports decision-making by providing a means of conducting a trade-off analysis at the tactical level.
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Open Access December 27, 2022

Building Scalable and Secure Cloud Architectures: Multi-Region Deployments, Auto Scaling, and Traffic Management in Azure and AWS for Microservices

Abstract The last few years have seen an increased adoption of cloud infrastructure, which has in turn led to a growth in large-scale distributed architectures in data centers to accommodate cloud resource elasticity and resiliency better. Selecting the right approach to build secure, scalable, and reliable cloud infrastructure within a budget is always a challenge. This text focuses on offering practical [...] Read more.
The last few years have seen an increased adoption of cloud infrastructure, which has in turn led to a growth in large-scale distributed architectures in data centers to accommodate cloud resource elasticity and resiliency better. Selecting the right approach to build secure, scalable, and reliable cloud infrastructure within a budget is always a challenge. This text focuses on offering practical solutions for designing and building a secure, scalable, and reliable cloud-based infrastructure where auto-scaling and multi-region deployments are the two key approaches to offer high availability. It covers designing secure and scalable microservices using cloud platforms. The content will provide an understanding of public cloud architecture, the design of microservices running on the cloud, and also the design patterns used in the cloud era. With real-world examples, you will learn how microservices can enable scalable distributed systems. Furthermore, you will be walked through multi-region deployments, auto-scaling, and traffic management in cloud environments, using a sample environment setup and useful tips and tricks for monitoring. Finally, you will see a mock implementation of cloud infrastructure on-premise for a private cloud or single-node cloud. By the end of this text, you will be able to build, manage, and deploy a highly scalable and reliable cloud-ready solution [1].
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Open Access December 27, 2023

Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS

Abstract Modern organizations leverage highly distributed, global deployments to provide high availability and resiliency for cloud-first applications. By hosting these applications across multiple geographic locations and relying on highly available services, organizations can prevent disruption to their business and reduce complexity by employing the scale of infrastructure offered by major cloud [...] Read more.
Modern organizations leverage highly distributed, global deployments to provide high availability and resiliency for cloud-first applications. By hosting these applications across multiple geographic locations and relying on highly available services, organizations can prevent disruption to their business and reduce complexity by employing the scale of infrastructure offered by major cloud providers. Global deployments in the cloud are built on well-known models such as failover, load balancing, and scalability. However, traditional methods used to recover from regional failure—while effective—can be complex. Typical multi-region recovery and high availability system architectures have latency and cost risks that should be considered when facing other limitations such as deployment models in the cloud. This document describes the different traffic management techniques that can be applied to multi-region strategies, focusing on trade-offs and costs. The introduction of new traffic management techniques being applied to the traditional global architectures now allows organizations to adopt cloud services more efficiently. Traffic management is much more straightforward in some environments, while others have started to leverage their traffic management platform via routing. In multi-region deployments, active-active and active-passive are the most common architectural models, allowing organizations to seamlessly handle failover, scalability, and global distribution based on business goals and requirements. However, traffic management for these infrastructures is critical to ensure just data distribution and efficiency, maintaining costs under control and workloads rerouted when necessary. Using the new traffic management techniques will allow organizations to evolve system architectures easily based on business requirements, taking advantage of cost benefits from multiple infrastructures. In these scenarios, traffic management becomes a crucial backbone of success to ensure that traffic is being efficiently and intelligently distributed [1].
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Open Access February 22, 2023

Navigating the Pharmaceutical Supply Chain: Key Strategies for Balancing Demand and Supply

Abstract The pharmaceutical industry is fundamental to global healthcare, providing essential medicines that improve health outcomes and quality of life. However, the demand and supply dynamics within this sector are highly complex, shaped by various factors including demographic changes, evolving disease burdens, technological advancements, regulatory challenges, and economic pressures. This manuscript [...] Read more.
The pharmaceutical industry is fundamental to global healthcare, providing essential medicines that improve health outcomes and quality of life. However, the demand and supply dynamics within this sector are highly complex, shaped by various factors including demographic changes, evolving disease burdens, technological advancements, regulatory challenges, and economic pressures. This manuscript explores the intricate relationship between pharmaceutical medicine demand and supply, focusing on key strategies that can help companies effectively navigate these challenges. The demand for pharmaceutical products is driven by several factors, such as population growth, the aging population, the rise of chronic diseases, and the emergence of new health threats. Additionally, healthcare accessibility, affordability, and policy changes significantly impact the consumption of medicines, while innovations in medical technologies and therapies create new treatment needs. On the supply side, pharmaceutical companies face challenges related to manufacturing capacity, raw material availability, distribution logistics, and compliance with ever-evolving global regulatory frameworks. To address these challenges, the manuscript discusses strategic approaches to managing both demand and supply in the pharmaceutical sector. Key strategies include advanced demand forecasting through data analytics, optimizing supply chains for efficiency and resilience, implementing just-in-time inventory models, and investing in flexible manufacturing systems. Furthermore, global collaboration and partnerships, as well as effective risk management practices, are highlighted as essential to ensuring the availability of medicines, particularly in times of crisis or global health emergencies. This manuscript also delves into the role of policy advocacy and regulatory harmonization in stabilizing the pharmaceutical market, ensuring that medicines are accessible to all populations. In conclusion, the pharmaceutical industry must continually adapt to meet the evolving challenges of demand and supply, embracing innovation and collaboration while maintaining a focus on patient access and global healthcare equity. Through strategic planning and adaptive solutions, the pharmaceutical sector can ensure the continuous availability of critical medicines worldwide, meeting both current and future health needs.
Case Report
Open Access December 27, 2023

Leveraging Machine Learning Techniques for Predictive Analysis in Merger and Acquisition (M&A)

Abstract M&A is a strategic concept of business growth through consolidation, gaining market access, increasing strategic positions, and increasing operational efficiency. To understand the dynamics of M&A, this paper looks at aspects such as targeted firm identification, evaluation, bidding for the target firm, and post-acquisition integration. All forms of M&A, including horizontal, [...] Read more.
M&A is a strategic concept of business growth through consolidation, gaining market access, increasing strategic positions, and increasing operational efficiency. To understand the dynamics of M&A, this paper looks at aspects such as targeted firm identification, evaluation, bidding for the target firm, and post-acquisition integration. All forms of M&A, including horizontal, vertical, conglomerate, and acquisitions, are discussed in terms of goals and values, including synergy, cost reduction, competitive advantages, and access to better technology. However, issues such as cultural assimilation, adhesion to regulations, and calculating an inaccurate value are also resolved. The paper then goes deeper to provide insight into how predictive analytics applies to M&A, using ML to improve decision-making with forecasting benefits. Including healthcare, education, and construction industries, the presented predictive models using regression analysis, neural networks, and ensemble techniques help to make decisions. Through time series and real-time data, PDA enables sound M&A strategies, effective risk management and smooth integration.
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Open Access December 27, 2023

Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights

Abstract The current financial services sector is realising considerable changes in its operations due to development in technology and embracing of digital platforms. This evolution is changing the established concepts of business, consumers and channels of delivery of services. Financial services firms are changing the way they work through digital transformation due to developments in technology, [...] Read more.
The current financial services sector is realising considerable changes in its operations due to development in technology and embracing of digital platforms. This evolution is changing the established concepts of business, consumers and channels of delivery of services. Financial services firms are changing the way they work through digital transformation due to developments in technology, changes in customer needs, and an increase in emphasis on sustainability. Understanding the opportunities, risks, and new trends in digital transformation is the focus of this paper. Opportunities include efficient real-time decision-making processes, increased transparency and better process controls, which are balanced by the threats of change management, dubious organization-technology fit, and high implementation costs. The study also examines recent advancements, including the application of machine learning and artificial intelligence, developments in mobile and online banking, integration of blockchain, and increasing focus on security and personalised banking. A literature review yields some findings from different studies on rural financial services, the evolution of the blockchain, drivers of digital transformation, cloud-based learning approaches, and emerging sustainability practices. All of these results suggest that more strategic planning, analytics, and more focus on ensuring that organisational objectives are met with transformations should be pursued. Hence, this research findings add to the existing literature in determining how innovative and digital technologies are likely to transform the financial services sector and advance sustainability.
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Open Access January 10, 2022

Composable Infrastructure: Towards Dynamic Resource Allocation in Multi-Cloud Environments

Abstract To ensure maximum flexibility, service providers offer a variety of computing options with regard to CPU, memory capacity, and network bandwidth. At the same time, the efficient operation of current cloud applications requires an infrastructure that can adjust its configuration continuously across multiple dimensions, which are generally not statically predefined. Our research shows that these [...] Read more.
To ensure maximum flexibility, service providers offer a variety of computing options with regard to CPU, memory capacity, and network bandwidth. At the same time, the efficient operation of current cloud applications requires an infrastructure that can adjust its configuration continuously across multiple dimensions, which are generally not statically predefined. Our research shows that these requirements are hardly met with today's typical public cloud and management approaches. To provide such a highly dynamic and flexible execution environment, we propose the application-driven autonomic management of data center resources as the core vision for the development of a future cloud infrastructure. As part of this vision and the required gradual progress toward it, we present the concept of composable infrastructure and its impact on resource allocation for multi-cloud environments. We introduce relevant techniques for optimizing resource allocation strategies and indicate future research opportunities [1]. Many cloud service providers offer computing instances that can be configured with arbitrary capacity, depending on the availability of certain hardware resources. This level of configurability provides customers with the desired flexibility for executing their applications. Because of the large number of such prerequisite instances with often varying characteristics, service consumers must invest considerable effort to set up or reconfigure elaborate resource provisioning systems. Most importantly, they must differentiate the loads to be distributed between jobs that need to be executed versus placeholder jobs, i.e., jobs that trigger the automatic elasticity functionality responsible for resource allocator reconfiguration. Operations research reveals that the optimization of resource allocator reconfiguration strategies is a fundamentally difficult problem due to its NP-hardness. Despite these challenges, dynamic resource allocation in multi-clouds is becoming increasingly important since modern Internet-based service settings are dispersed across multiple providers [2].
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Open Access November 19, 2022

Analyzing Behavioral Trends in Credit Card Fraud Patterns: Leveraging Federated Learning and Privacy-Preserving Artificial Intelligence Frameworks

Abstract We investigate and analyze the trends and behaviors in credit card fraud attacks and transactions. First, we perform logical analysis to find hidden patterns and trends, then we leverage game-theoretical models to illustrate the potential strategies of both the attackers and defenders. Next, we demonstrate the strength of industry-scale, privacy-preserving artificial intelligence solutions by [...] Read more.
We investigate and analyze the trends and behaviors in credit card fraud attacks and transactions. First, we perform logical analysis to find hidden patterns and trends, then we leverage game-theoretical models to illustrate the potential strategies of both the attackers and defenders. Next, we demonstrate the strength of industry-scale, privacy-preserving artificial intelligence solutions by presenting the results from our recent exploratory study in this respect. Furthermore, we describe the intrinsic challenges in the context of developing reliable predictive models using more stringent protocols, and hence the need for sector-specific benchmark datasets, and provide potential solutions based on state-of-the-art privacy models. Finally, we conclude the paper by discussing future research lines on the topic, and also the possible real-life implications. The paper underscores the challenges in creating robust AI models for the banking sector. The results also showcase that privacy-preserving AI models can potentially augment sharing capabilities while mitigating liability issues of public-private sector partnerships [1].
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Open Access December 26, 2020

Green Cloud Computing: Strategies for Building Sustainable Data Center Ecosystems

Abstract Green cloud computing is part of endeavors to develop sustainable data center ecosystems and, more importantly, nurtures a mindful alignment between environmental considerations and our cloud computing practices. This view is reinforced with the requirements of resource and energy minimization, as well as clean computing. This paper surveys the current practices, strategies, and significant [...] Read more.
Green cloud computing is part of endeavors to develop sustainable data center ecosystems and, more importantly, nurtures a mindful alignment between environmental considerations and our cloud computing practices. This view is reinforced with the requirements of resource and energy minimization, as well as clean computing. This paper surveys the current practices, strategies, and significant aspects involved in moving towards green cloud computing, providing energy-efficient data centers. The energy efficiency criteria call for unified strategies in power-proportional components, big data storage, server systems, and power supply units to save holistic energy. In addition, there are significant challenges in moving towards green cloud computing for service providers and data center operators. We address various energy-conscious resource management technologies and discuss the importance of developing innovative, effective green management solutions. Data centers are ubiquitous but inherently more conspicuous to begin to see the urgency of making them sustainable in our ecological environment. With this in mind, this paper encapsulates the multidimensional issues and increased complexities of bringing up green solutions in cloud computing practices and provides guidance and potential strategies. We outline, realign, and insist on adopting strategies in practice not only from the technical aspect but also in strengthening partnerships and investigating strategies to further dissect challenges, converge solutions, and consider our impact in even more areas of study.
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Open Access December 29, 2020

A Deep Learning Architectures for Enhancing Cyber Security Protocols in Big Data Integrated ERP Systems

Abstract Deep learning approaches are very useful to enhance cybersecurity protocols for industry-integrated big data enterprise resource planning systems. This research study develops deep learning architectures of variational autoencoder, sparse autoencoder, and deep belief network for detecting anomalies, fraud, and preventing cybersecurity attacks. These cybersecurity issues occur in finance, human [...] Read more.
Deep learning approaches are very useful to enhance cybersecurity protocols for industry-integrated big data enterprise resource planning systems. This research study develops deep learning architectures of variational autoencoder, sparse autoencoder, and deep belief network for detecting anomalies, fraud, and preventing cybersecurity attacks. These cybersecurity issues occur in finance, human resources, supply chain, and marketing in the big data integrated ERP systems or cloud-based ERP systems. The main objectives of this creative research work are to identify the vulnerabilities in various ERP systems, databases, and the interconnected domains; to introduce a conceptual cybersecurity network model that incorporates variational autoencoders, sparse autoencoders, and deep belief networks; to evaluate the performance of the proposed cybersecurity model by employing the appropriate parameters with real-time and synthetic databases and simulated scenarios; and to validate the model performance by comparing it with traditional algorithms. A big data platform with an integrated business management system is known as an integrated ERP system, which plays an instrumental role in conducting business for various organizations in society. In recent times, as uncertainty and disparity increase, the cyber ecosystem becomes more complex, volatile, dynamic, and unpredictable. In particular, the number of cyber-attacks is increasing at an alarming rate; the resultant security breaches have a disruptive and disturbing effect on businesses around the world, with a loss of billions of dollars. To combat these threats, it is essential to develop a conceptual cybersecurity network model to secure systems by functioning as a mutually supporting and strengthening network model rather than working in isolation. In this dynamic and fluid environment, introducing a deep learning approach helps to support and prevent fraud and other illicit activities related to human resources and the supply chain, among others. Some cybersecurity vulnerabilities include, for example, database vulnerabilities, service level vulnerabilities, and system vulnerabilities, among others. The proposed methodology focuses only on database vulnerabilities, with the main aim of detecting and mitigating new potential vulnerabilities in other dependent domains as a future initiative.
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Open Access December 27, 2019

The Role of Neural Networks in Advancing Wearable Healthcare Technology Analytics

Abstract Neural networks are bringing a transformation in wearable healthcare technology analytics. These networks are able to analyze a vast amount of data to help in making decisions concerning patient care. Advancements in deep learning have brought neural networks to the forefront, making data analytics a straightforward process. This study will help in unveiling the use of ICT and AI in medical [...] Read more.
Neural networks are bringing a transformation in wearable healthcare technology analytics. These networks are able to analyze a vast amount of data to help in making decisions concerning patient care. Advancements in deep learning have brought neural networks to the forefront, making data analytics a straightforward process. This study will help in unveiling the use of ICT and AI in medical healthcare technology, crawling through some industry giants. Wearable Healthcare Technologies are becoming more popular every day. These technologies facilitate collecting, monitoring, and sharing every vital aspect of the human body necessary for diagnosing and treating an ailment. At the advent of global digitization, health data storage and systematic analysis are taking shape to ensure better diagnostics, preventive, and predictive healthcare. Healthcare analytics powered by neural networks can significantly improve health outcomes, maximizing individuals' potential and quality of life. The breadth and possibilities of connected devices are getting wider. From personal activity monitoring to quantifying every bit of health statistics, connected devices are making an impact in measurement, management, and manipulation. In healthcare, early diagnosis could be a lifesaver. Data analytics can help in a big way to make moves and predictions to save lives. We are in another phase of the digitization era, "Neural Network and Wearable Healthcare Technology Analytics." A neural network could be conceived as an adaptive system made up of a large number of neurons connected in multiple layers. A neural network processes data in a similar way as the human brain does. Using a collection of algorithms, for many neural networks, objects are composed of 'input' and 'output' layers along with the layers of the neural network.
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Open Access December 27, 2019

A Comprehensive Study of Proactive Cybersecurity Models in Cloud-Driven Retail Technology Architectures

Abstract This is a comprehensive, multi-year study designed to explore proactive security technologies implemented in cloud-driven retail technology architectures. Deploying cloud technologies in the retail environment creates a need for more comprehensive and proactive security technologies that protect both the psychological estate and fiscal estate. This work contributes to cloud-driven retail research [...] Read more.
This is a comprehensive, multi-year study designed to explore proactive security technologies implemented in cloud-driven retail technology architectures. Deploying cloud technologies in the retail environment creates a need for more comprehensive and proactive security technologies that protect both the psychological estate and fiscal estate. This work contributes to cloud-driven retail research by investigating anticipatory security technologies across numerous case studies. These case studies offer best practice models for elevating proactive cybersecurity in retail environments. The academic and professional communities currently lack security information and practices that apply to the retail environment. It is anticipated that the final results of this project will have value in shaping the next set of research in cybersecurity in retail environments. Many retail organizations are restricted to reactive security operations. Advanced security technologies operate on piloted activations that require the intervention of security analysts. In actuality, basic security products and security operations are now piloted by automation and machine learning. In one case study, a retail CTO shares a forensics example using a proactive security technology aimed at both psychological estate and fiscal estate. In another case study, direct discussions provide a retail university lecturer with insight into the use of driven intelligence for inventory management. The use of card technology for a model is used as an example that can be implemented as security technology which can be offered as a service to retail organizations.
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Open Access December 27, 2019

Data Engineering Frameworks for Optimizing Community Health Surveillance Systems

Abstract A Changing World Demands Optimized Health Surveillance Systems – and How Data Engineering Can Help There is a growing urgency to manage the public health and emergency response practices effectively today, in light of complex and emerging health threats. Fortunately, a host of new tools, including big and streaming data sources, methods such as machine learning, new types of hardware like [...] Read more.
A Changing World Demands Optimized Health Surveillance Systems – and How Data Engineering Can Help There is a growing urgency to manage the public health and emergency response practices effectively today, in light of complex and emerging health threats. Fortunately, a host of new tools, including big and streaming data sources, methods such as machine learning, new types of hardware like blockchain or secure enclaves, and means of data storage and retrieval, have emerged. But, with these innovations comes a grand challenge: how to blend with, and adapt them to, the traditional public health practices. The long-in-place infrastructures and protocols to protect and ensure the welfare of communities are in need of change, or at least update, to enhance their marked longevity of impact directly on the health outcomes and community wellbeing they were designed to fortify. It is in this vein that the essay is written and composed. The investigation in this essay is to query what, particularly, might be the aspects and influences of the emerging veritable cornucopia of new data engineering frameworks that are either being developed specifically for health surveillance and wellness, or are available to be co opted from devices and services already thriving in the current market and research milieu. Knowing what these ways may be could well aid in molding their uptake and spread, ensuring their beneficial impacts on those communities who stand to gain the most. The essay is divided into several key segments. After this introduction, section two details the research methods. In the section that follows, the maximum health outcome potentials of these novel frameworks are reviewed. Part four of the essay takes a more critical approach, addressing how the success of these methods may be hindered and future research avenues. Lastly, the concluding information suggests some actions to take to aid best suit the implementation of these ways, and suggests some thoughts for further research after the completion of these inquiriestrand [1].
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Open Access December 27, 2022

Optimizing Retirement Planning Strategies: A Comparative Analysis of Traditional, Roth, and Rollover IRAs in LongTerm Wealth Management

Abstract Retirement planning can be a complex endeavor. One consideration is whether or not to invest in an Individual Retirement Account (IRA). The present study compares the effect of several contributions to a traditional, Roth, and rollover IRA. The returns generated for each model are derived from the historic growth rates of the S&P 500 over 40 years. Results are presented in terms of employer [...] Read more.
Retirement planning can be a complex endeavor. One consideration is whether or not to invest in an Individual Retirement Account (IRA). The present study compares the effect of several contributions to a traditional, Roth, and rollover IRA. The returns generated for each model are derived from the historic growth rates of the S&P 500 over 40 years. Results are presented in terms of employer match, taxes due, and the number of shares utilized in the long-term investment strategy for each withdrawal method. Results show traditional IRA contributions or Roth IRA contributions are equally matched until employment termination. Taking an active role in managing the investment strategy, possibly by working with a financial representative, suggests a more favorable positioning upon employment termination [1]. Traditional and other pre-tax plans usually do not have an employer match, are usually paired with decreased taxes paid, and the number of shares available to the long-term investment strategy is somewhat reduced. In all cases, risk is increased. Rollover IRAs enjoy a match, lower taxes, and decrease the amount of calculated risk involved. A certified financial planner should be the resource of choice to determine how corporate retirement planning programs fit into the overall investment strategy.
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Open Access December 27, 2021

Advancing Healthcare Innovation in 2021: Integrating AI, Digital Health Technologies, and Precision Medicine for Improved Patient Outcomes

Abstract Advances of wearables, sensors, smart devices, and electronic health records have generated patient-oriented longitudinal data sources that are analyzed with advanced analytical tools to generate enormous opportunities to understand patient health conditions and needs, transforming healthcare significantly from conventional paradigms to more patient-specific and preventive approaches. Artificial [...] Read more.
Advances of wearables, sensors, smart devices, and electronic health records have generated patient-oriented longitudinal data sources that are analyzed with advanced analytical tools to generate enormous opportunities to understand patient health conditions and needs, transforming healthcare significantly from conventional paradigms to more patient-specific and preventive approaches. Artificial intelligence (AI) with a machine learning methodology is prominently considered as it is uniquely suitable to derive predictions and recommendations from complex patient datasets. Recent studies have shown that precise data aggregation methods exhibit an important role in the precision and reliability of clinical outcome distribution models. There is an essential need to develop an effective and powerful multifunctional machine learning platform to enable healthcare professionals to comprehend challenging biomedical multifactorial datasets to understand patient-specific scenarios and to make better clinical decisions, potentially leading to the optimist patient outcomes. There is a substantial drive to develop the networking and interoperability of clinical systems, the laboratory, and public health. These steps are delivered in concert with efforts at enabling usefully analytic tools and technologies for making sense of the eruption of overall patient’s information from various sources. However, the full efficiency of this technology can only be eliminated when ethical, legal, and social challenges related to reducing the privacy of healthcare information are successfully absorbed. Public and media are to be informed about the capabilities and limitations of the technologies and the paramount to be balanced is juvenile public healthcare data privacy debate. While this is ongoing, the measures have been progressed from patient data protection abuses for progress to realize the full potential of AI technology for hosting the health system, with benefits for all stakeholders. Any protection program should be based on fairness, transparency, and a full commitment to data privacy. On-going innovative systems that use AI to manage clinical data and analyzes are proposed. These tools can be used by healthcare providers, especially in defining specific scenarios related to biomedical data management and analysis. These platforms ensure that the significant and potentially predictive parameters associated with the diagnosis, treatment, and progression of the disease have been recognized. With the systematic use of these solutions, this work can contribute to the realization of noticeable improvements in the provision of real-time, personalized, and efficient medicine at a reduced cost [1].
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Open Access December 27, 2021

Advanced Computational Technologies in Vehicle Production, Digital Connectivity, and Sustainable Transportation: Innovations in Intelligent Systems, Eco-Friendly Manufacturing, and Financial Optimization

Abstract This paper includes the impacts of the Internet of Things (IoT), Big Data, and other emerging technologies in the vehicle production sector, digital connectivity, and sustainable transport system. Automated and intelligent transportation for safe, efficient, and sustainable transport systems will be stressed. Key factors to promote automated or connected vehicles including connected environment, [...] Read more.
This paper includes the impacts of the Internet of Things (IoT), Big Data, and other emerging technologies in the vehicle production sector, digital connectivity, and sustainable transport system. Automated and intelligent transportation for safe, efficient, and sustainable transport systems will be stressed. Key factors to promote automated or connected vehicles including connected environment, integration of all transport modes, advanced cooperative systems, and policy enforcement will be discussed. This paper contains the Axiomatic Categorisation Framework (AFS) for the dynamic alignment in a collection of disparate functions in cyber-physical systems (CPS). Developed system is enhanced for breaking the rules within autonomous vehicles (AV). It means the human personal injury is inevitable while the vehicle does not do any rules. Especially in complicated traffic situations, many of the constraints are mutually exclusive, and there is no way to obey all of them at a time. Also, there is no way to ensure that the self-driving vehicle has priority in all situations [1]. Public distrust in AV systems has to be increased and the investment in this technology has to slow down. Instead, a human driver should be partially responsible for operation. The development of a driver-behavior assistant (DBA) system is proposed, which should be able to break the rules for the distances of such slow development. It is intended to be effective in non-deterministic situations while maintaining the safety of the AV and those involved in the event. A driver's actions would not only be acceptable as a driving strategy but also would be predictable, and therefore other road users could unambiguously react.
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Open Access December 27, 2021

Revolutionizing Risk Assessment and Financial Ecosystems with Smart Automation, Secure Digital Solutions, and Advanced Analytical Frameworks

Abstract For years, risk assessment and financial calculations have been based on mathematical, statistical, and actuarial studies of existing and historical data. The manual process of building datasets, processing data, deriving trends, identifying periodicities, and analyzing diagnostics is extremely expensive and time-consuming. With the automation and evolution of data science technologies, [...] Read more.
For years, risk assessment and financial calculations have been based on mathematical, statistical, and actuarial studies of existing and historical data. The manual process of building datasets, processing data, deriving trends, identifying periodicities, and analyzing diagnostics is extremely expensive and time-consuming. With the automation and evolution of data science technologies, organizations are now bringing in niche data, such as unstructured data, which contain more disruptive and precise signals for decision-making—thereby making predictions and derivative valuations more robust. This discussion highlights how investment decision-making and financial ecosystem activities are set to be transformed with the power of technical automation, data, and artificial intelligence. A noted trend in the financial investment sector is that financial valuations are highly predictive and highly non-linear in long-term occurrences. To understand these robust evolving signals and execute profitable strategies upon them, the investment management process needs to be very dynamic, open, smart, and technically deep. However, with current manual processes, reaching a high-end asset prediction still seems like a shot in the dark. In parallel, open and democratically developed financial ecosystems query relatively riskless premium opportunities in high-finance valuation and perception. The process of evolving financial ecosystems or the use of automated tools and data to move to unique frontiers could make high-yield profiting opportunities very safe and entirely riskless. Financial economic theories and realistic approximation models support this.
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Open Access December 27, 2022

Integrating generative AI into financial reporting systems for automated insights and decision support

Abstract Generative AI refers to deep learning technology that can automatically produce original text, images, audio, video, and other outputs. With its emerging capabilities, Generative AI can radically change the dynamics of key operational processes in most industries. In this document, we illustrate how it is possible to integrate Generative AI technologies into the Financial Reporting System (FRS) of [...] Read more.
Generative AI refers to deep learning technology that can automatically produce original text, images, audio, video, and other outputs. With its emerging capabilities, Generative AI can radically change the dynamics of key operational processes in most industries. In this document, we illustrate how it is possible to integrate Generative AI technologies into the Financial Reporting System (FRS) of a corporation. The integration will allow the FRS to deliver on demand concise and lucid insights to its associated users on what is happening in the corporation and different aspects of the corporation performance assessment, such as its liquidity, solvency, profitability, organizational structure, and share buy back decision. The integration will also facilitate the delivery of what-if analyses associated with different strategic and tactical decisions taken by the corporation management, such as capital budgeting and profit distribution decisions. The unique added value of several attributes of these insightful analytics is automating the responses to ongoing requests of the FRS users on the corporation. Generative AI capabilities are rapidly expanding. The integration can be applied not only for the corporate FRS but any FRS at the national or global levels delivered by a central bank or an accounting standards setter. Any of these FRS can be made into a unique “hub” for the integrated Generative AI technologies. An equally innovative possible generalized integration could put any corporate process at the center and its supporting FRS tasks and deliverables in its periphery.
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Open Access December 27, 2020

Enhancing Regulatory Compliance in Finance through Big Data Analytics and AI Automation

Abstract This paper shows how Big Data Analytics (BDA) and Artificial Intelligence (AI) automation facilitate regulatory compliance in Finance. Regulatory compliance is essential in helping institutions to mitigate reputational, litigation, and financial risk. Existing literature reveals several preconditions for compliance. However, much of the literature has adopted an internal view of compliance without [...] Read more.
This paper shows how Big Data Analytics (BDA) and Artificial Intelligence (AI) automation facilitate regulatory compliance in Finance. Regulatory compliance is essential in helping institutions to mitigate reputational, litigation, and financial risk. Existing literature reveals several preconditions for compliance. However, much of the literature has adopted an internal view of compliance without considering external regulatory frameworks. This research draws on the cognitive model of regulation that looks at regulatory compliance as a social construct. It uses a triangulation research method comprising literature review, interview of trade compliance experts, and questionnaire survey of compliance practitioners to understand how regulation affects compliance and what role ICTs play in implementing compliance. The findings of this study present a regulatory compliance framework comprising four cognitive stages and a conceptual regulatory compliance system that presents how BDA and AI automation are applied to mitigate regulatory complexity and enhance regulatory compliance. The conceptual regulatory compliance system shows how BDA and AI enable institutions to dynamically assess regulatory risk, automatically monitor compliance, and intelligently predict risk violations mitigating regulatory complexity and preventing producing unnecessary documents. It provides theoretical contributions to understanding regulatory evolution and compliance and practical implications for understanding how regulation evolves to be more complicated and elements of a regulatory compliance system mitigate proliferating regulations. Additionally, it provides avenues for future research into the relationship between competing regulatory mandates and how institutions cope with that. Regulations are important for ensuring compliance and governance in finance and to curb systemic risk. Complying with regulations is difficult due to their growing volume, complexity, and fragmentation. Institutions use large-scale Information and Communication Technologies (ICTs), such as Big Data Analytics (BDA) and Artificial Intelligence (AI) automation, to monitor compliance and mitigate regulatory complexity. However, less is known about how firms comply with regulation. Most literature does not thoroughly investigate regulatory elements nor explicitly relate them to compliance.
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Open Access December 27, 2020

Optimizing Unclaimed Property Management through Cloud-Enabled AI and Integrated IT Infrastructures

Abstract With unclaimed property assets reaching record levels, businesses have become, in some cases, overwhelmed and hamstrung by stagnant, unoptimized processes. That sentiment is compounded by ever-evolving regulatory changes, resulting in organizations struggling to hit compliance deadlines while delivering an optimal claimant experience. Often, early systems had periods of short-term success but are [...] Read more.
With unclaimed property assets reaching record levels, businesses have become, in some cases, overwhelmed and hamstrung by stagnant, unoptimized processes. That sentiment is compounded by ever-evolving regulatory changes, resulting in organizations struggling to hit compliance deadlines while delivering an optimal claimant experience. Often, early systems had periods of short-term success but are on the verge of obsolescence, resulting in stressed workflows and cumbersome integrations. Deploying an integrated IT infrastructure, supported by cloud-enabled AI, represents the quickest path to modernizing unclaimed property management. A fully integrated IT infrastructure is crucial to optimize the management of unclaimed property [1]. When lone solutions exist across an organization, companies miss out on automation opportunities generated through the interconnectedness of systems and data. AI presents organizations with the opportunity to traverse these gaps, enabling a vast library of applications to improve the perturbed workflows of unclaimed property teams. Automated data extraction, document comparison, fraudulent claim detection, and workflow completion analysis are just a few popular applications well suited for the unclaimed property space. In addition to the lagging technology currently deployed by many organizations, the unclaimed property landscape itself is evolving. Compliance issuance, asset availability, rates, the ability to collect fraudulently posted claims, and the claimant experience have all become hot-button items that are now front of mind for regulation agencies and businesses alike. Issuing duplication letters in a compliant manner, accommodating claimant inquiries regarding held assets, and managing, processing, and understanding the operational impact of rate changes are vexing problems many organizations now find themselves playing catch-up to address. The opportunity posed by cloud-enabled AI is furthered by economic, regulatory, and report cycle pressures on unclaimed property teams to do more with the same size or fewer resources. It’s now no longer simply a case of hitting the audit date deadline and checking off a box but an emerging priority for businesses at all sides of the market, from Fortune 500 to mid-market firms. In-house shared service teams are comfortable in areas of monitoring and curating business data; however, unclaimed property is an unknown territory with a learning curve, compliance gaps, and operational holes that, if ignored, stand to scale up exponentially. The combined fallout from regulatory changes and the recent pandemic have only made the situation riskier, with increased volatility in balancing time-sensitive tasks against stringent regulatory deadlines and growing claimant outreach.
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Open Access December 29, 2020

Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms

Abstract While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that [...] Read more.
While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders [1]. Large information databases on various public issues exist, but their usage for public policy formulation and impact analysis has been limited so far, as no cloud-based service ecosystem exists to facilitate their efficient exploitation. With the increasing availability and importance of both public big and traditional data, the need to extract, link and utilize such information efficiently has arisen. Current data-driven web technologies and models are not aligned with the needs of this domain, and therefore, potential candidates for big data, cloud-based and service-oriented public policy analysis solutions should be investigated, piloted and demonstrated [2]. This paper presents the conceptual architecture of such an ecosystem based on the capabilities of state-of-the-art cloud and web technologies, as well as the requirements of its users.
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Open Access December 27, 2020

Building Foundational Data Products for Financial Services: A MDM-Based Approach to Customer, and Product Data Integration

Abstract Imagine a consumer financial services company with 20 million customers. Its sales and marketing organizations collaborate across product lines, deploying hundreds of marketing campaigns each quarter that aim to increase customer product usage and/or cross-buying of products. Each campaign is based on forecasts of customer responses derived from predictive models updated every quarter. The goals [...] Read more.
Imagine a consumer financial services company with 20 million customers. Its sales and marketing organizations collaborate across product lines, deploying hundreds of marketing campaigns each quarter that aim to increase customer product usage and/or cross-buying of products. Each campaign is based on forecasts of customer responses derived from predictive models updated every quarter. The goals of these models are to achieve large return on investment ratios and to maximize contribution to local profit centers. What’s important is that their modeling is based only on data created, curated and maintained by these marketing organizations. The difference today is that the modeling is no longer based solely on a small number of response-determined variables that are constantly assessed in terms of importance. A quarterly campaign update generates hundreds of statistical models — involving campaign responses, purchase-lag time, the relative magnitude of the direct effect, and the cross-buying effects — using thousands of variables, including customer demographics, life stage, product transactions, household composition, and customer service history. It’s a network of models, not just a table of variable-by-residual importance values. But that’s only part of the story of data products. The predictive modeling utilized by these campaign plans is based on analytics and data preparation, which are data products in their most diminutive form. These products would be even more elementary were they not crafted quarterly by highly skilled, experienced modelers using advanced software and processes. Most companies have enough data to create models that contain not simply hundreds of variables, but thousands, so that the focus can return to information instead of data reduction. These models largely replace the internal econometric models previously used to produce advanced forecasts in the absence of campaign modeling. People used these forecasts to simulate ROI and contribution forecasts for the planned campaigns. In the old days, reliance on econometrically forecast ROI-guideline contribution values reduced the reliance on the marketing campaign modelers because of a lack of trust in their predictive ability.
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Open Access December 27, 2022

Towards the Efficient Management of Cloud Resource Allocation: A Framework Based on Machine Learning

Abstract In the constantly evolving world of cloud computing, appropriate resource allocation is essential for both keeping costs down and ensuring an ongoing flow of apps and services. Because of its adaptability to specific tasks and human behavior, machine learning (ML) is a desirable choice for fulfilling those needs. This study Efficient cloud resource allocation is critical for optimizing performance [...] Read more.
In the constantly evolving world of cloud computing, appropriate resource allocation is essential for both keeping costs down and ensuring an ongoing flow of apps and services. Because of its adaptability to specific tasks and human behavior, machine learning (ML) is a desirable choice for fulfilling those needs. This study Efficient cloud resource allocation is critical for optimizing performance and cost in cloud computing environments. In order to improve the precision of resource allocation, this study investigates the use of Long Short-Term Memory (LSTM). The LSTM model achieved 97% accuracy, 97.5% precision, 98% recall, and a 97.8% F1-score (F1-score: harmonic mean of precision and recall), according to experimental data. The confusion matrix demonstrates strong classification performance across several resource classes, while the accuracy and loss curves verify steady learning with minimal overfitting. The suggested LSTM model performs better than more conventional ML (machine learning) models like Gradient Boosting (GB) and Logistic Regression (LR), according to a comparative study. These findings underscore the LSTM (Long Short-Term Memory) model’s robustness and suitability for dynamic cloud environments, enabling more accurate forecasting and efficient resource management.
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Open Access December 24, 2022

Web-Centric Cloud Framework for Real-Time Monitoring and Risk Prediction in Clinical Trials Using Machine Learning

Abstract Advances in web-centric cloud computing have facilitated the establishment of an integrated cloud environment connecting a wide variety of clinical trial stakeholders. A web-centric cloud framework is proposed for real-time monitoring and risk prediction during clinical trials. The framework focuses on identifying relevant datasets, developing a data-management interface, and implementing [...] Read more.
Advances in web-centric cloud computing have facilitated the establishment of an integrated cloud environment connecting a wide variety of clinical trial stakeholders. A web-centric cloud framework is proposed for real-time monitoring and risk prediction during clinical trials. The framework focuses on identifying relevant datasets, developing a data-management interface, and implementing machine-learning algorithms for data analysis. Detailed descriptions of the data-management interface and the machine-learning processes are provided, targeting active clinical trials with therapeutic uses in cancer. Demonstrations utilize publicly available clinical-trial data from the ClinicalTrials.gov repository. The real-time monitoring and risk prediction systems were assessed by developing five supervised-classification-machine-learning models for trial-status prediction and six unsupervised models for patient-safety-profile assessment, each representing a different phase of the clinical-trial process. All supervised models yielded high accuracy and area-under-the-curve values at the testing stage, while the unsupervised models demonstrated practical applicability. The results underscore the advantages of using the trial-status algorithm, the patient-safety-profile model, and the proposed framework for performing real-time monitoring and risk prediction of clinical trials.
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Open Access December 24, 2022

Cloud Native ETL Pipelines for Real Time Claims Processing in Large Scale Insurers

Abstract Cloud native ETL pipelines support the extract and transform phases of real time claims processing in large scale insurers. The cloud native approach offers dramatic improvements in scalability, reliability, resiliency and agility as well as seamless integration with the diverse set of data sources, destinations and technologies characteristic of large scale insurers. The ETL process extracts data [...] Read more.
Cloud native ETL pipelines support the extract and transform phases of real time claims processing in large scale insurers. The cloud native approach offers dramatic improvements in scalability, reliability, resiliency and agility as well as seamless integration with the diverse set of data sources, destinations and technologies characteristic of large scale insurers. The ETL process extracts data from source systems such as core transaction, fraud, customer and accounting processes, transforms the data to create a usable format for analytics and other applications, and loads the resulting tables into business intelligence or data lake systems for subsequent storage and analysis. By addressing these two phases of the overall ETL process, cloud native ETL pipelines can provide timely, reliable and consistent data to data scientists, actuaries, underwriters and other analysts. Real time processing represents a key priority within the overall claims process: faster, more accurate claim approvals reduce insurer costs, improve customer service and enhance premium pricing. As a result, a variety of claims related use cases are moving from batch to real time.
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Open Access December 21, 2021

Optimizing Data Warehousing for Large Scale Policy Management Using Advanced ETL Frameworks

Abstract Data warehousing is a technique for collecting, managing, and presenting data to help people analyze and use that data effectively. It involves a large database designed to support management-level staff by providing all the relevant historical data for analysis. This chapter begins with a definition of data warehousing, followed by an overview of large-scale policy management to highlight the [...] Read more.
Data warehousing is a technique for collecting, managing, and presenting data to help people analyze and use that data effectively. It involves a large database designed to support management-level staff by providing all the relevant historical data for analysis. This chapter begins with a definition of data warehousing, followed by an overview of large-scale policy management to highlight the need for data warehousing. Next, an overview of an ETL framework is presented, along with a discussion of advanced ETL techniques. The chapter concludes with an outline of performance optimization techniques for data warehousing. Data warehousing is considered a key enabler for efficient reporting and analysis, with implementation choices ranging from cost-effective desktop systems to large-scale, mission-critical data marts and warehouses containing petabytes of data. Extract, transform, and load (ETL) systems remain one of the largest cost and effort areas within data warehouse development projects, requiring significant planning and resources to build, manage, and monitor the flow of data from source systems into the data warehouse. The technology and techniques used for ETL can greatly influence the success or failure of a data warehouse. Complex business requirements for data cleansing, loading, transformation, and integration have intensified, while operational plans for real-time and near-real-time reporting add additional challenges. Parallel loading mechanisms, incremental data loading, and runtime update and insert strategies not only improve ETL performance but also optimize data warehousing performance, particularly for large-scale policy management.
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Open Access December 09, 2021

Containerization and Microservices in Payment Systems: A Study of Kubernetes and Docker in Financial Applications

Abstract The banking sector has shown a strong interest in scaling out and utilizing the microservices architectural pattern within their payments domain, not only to manage increased transaction volumes, but also for compliance and risk-related control. Financial organizations are adopting containerization technologies like Kubernetes and Docker to align with the microservices paradigm. Containerization [...] Read more.
The banking sector has shown a strong interest in scaling out and utilizing the microservices architectural pattern within their payments domain, not only to manage increased transaction volumes, but also for compliance and risk-related control. Financial organizations are adopting containerization technologies like Kubernetes and Docker to align with the microservices paradigm. Containerization provides the foundation for automation and operational excellence of microservice-based applications by enabling continuous deployment and automated build-test-release cycles. However, deploying a Kubernetes cluster and the services it hosts in production is not sufficient to guarantee a secure and compliant operating environment. Kubernetes itself should be secured to protect workloads, and risks associated with the services being deployed must be managed continuously.
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Open Access December 22, 2020

Cloud Migration Strategies for High-Volume Financial Messaging Systems

Abstract Key business objectives for digital infrastructure cloud adoption are often framed in terms of reducing cost, improving fault tolerance and resilience, simplifying scale, and enabling innovation. Given the critical nature of the financial sector, however, where timeliness and price can significantly determine an outcome, cloud migration in delivery environments demands greater throughput on the [...] Read more.
Key business objectives for digital infrastructure cloud adoption are often framed in terms of reducing cost, improving fault tolerance and resilience, simplifying scale, and enabling innovation. Given the critical nature of the financial sector, however, where timeliness and price can significantly determine an outcome, cloud migration in delivery environments demands greater throughput on the critical path and, in many enterprise-scale settings, forgoes hybrid complexity and multi-cloud risks. Nevertheless, slack in system designs does exist; financial institutions enable market functionality—trading, clearing/best execution—despite potentially being able to meet such sets with lower service levels than other verticals. A cloud multi-account structure for sensitive data, for example, naturally limits exposure when combined with observed risk. Fulfilling predictions of elasticity during periods of high demand usually requires support from a dedicated environment (or environments) located nearer to the operations. Components can consequently be allocated on a per-account basis or maintained as shared sink systems to which the dedicated streams write. The automation code can similarly be targeted for dedicated accounts, avoiding the resource constraints that beset such operations during industry events like emergency triage/contact desking.
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Open Access December 18, 2021

A Comparative Study of Traditional Reporting Systems versus Real-Time Analytics Dashboards in Enterprise Operations

Abstract Seamless integration of information in organizations promotes not only the operational efficiency but also the quality of decisions made by managers. Real-time decision support systems enable organizations to evaluate organizational changes immediately and ideally gives a hint of problems before they even appear in the organization. Such real time systems are nowadays regarded as the front-line [...] Read more.
Seamless integration of information in organizations promotes not only the operational efficiency but also the quality of decisions made by managers. Real-time decision support systems enable organizations to evaluate organizational changes immediately and ideally gives a hint of problems before they even appear in the organization. Such real time systems are nowadays regarded as the front-line solutions for managing organizations effectively. The technological possibilities seem not to conquer management. For most companies the data is still dealt with traditional solutions, data is collected and reports are generated to evaluate the past occurrences which only gives information on what has happened in the organization. The problem with these non-real-time systems is the reflection of organizational condition very late. These are the common rear-mirror descriptions for what already has been. Managers are receiving information from their organizations too late and often too little to make optimal decisions. Is it not possible to manage operations in real-time? Is real-time decision support really needed? If so, why most organizations still rely on traditional reporting systems.
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Open Access July 20, 2021

Quality of Experience (QoE) and Network Performance Modelling for Multimedia Traffic

Abstract This research explores the complex relationship between user-perceived Quality of Experience (QoE) and underlying network performance for multimedia traffic. As video streaming, online gaming, and interactive media dominate modern networks, ensuring consistent QoE has become a key challenge. The study develops a network performance model that integrates objective Quality of Service (QoS) [...] Read more.
This research explores the complex relationship between user-perceived Quality of Experience (QoE) and underlying network performance for multimedia traffic. As video streaming, online gaming, and interactive media dominate modern networks, ensuring consistent QoE has become a key challenge. The study develops a network performance model that integrates objective Quality of Service (QoS) parameters—such as delay, jitter, packet loss, and throughput—with subjective QoE metrics like Mean Opinion Score (MOS) and perceptual quality indices. Using simulation-based and analytical approaches, the paper evaluates how network conditions affect multimedia traffic behavior and user satisfaction. The results highlight critical thresholds for QoE degradation, enabling predictive modeling for adaptive multimedia delivery and real-time optimization. This work contributes to designing intelligent, user-centered network management systems capable of balancing resource efficiency and end-user satisfaction.
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Open Access December 27, 2021

Best Practices of CI/CD Adoption in Java Cloud Environments: A Review

Abstract The continuous integration (CI) and continuous delivery/deployment (CD) methods are key tools in the field of modern software development, and they assist in the rapid, reliable and quality delivery of software. These DevOps methods are automated, and the code development, testing, and deployment processes are streamlined, which reduces the risk of integration, enhances productivity, and minimizes [...] Read more.
The continuous integration (CI) and continuous delivery/deployment (CD) methods are key tools in the field of modern software development, and they assist in the rapid, reliable and quality delivery of software. These DevOps methods are automated, and the code development, testing, and deployment processes are streamlined, which reduces the risk of integration, enhances productivity, and minimizes human labor. To implement CI/CD, Java cloud applications can utilize cloud-native services such as AWS Code Pipeline, Azure DevOps, and Google Cloud Build, as well as tools like Jenkins, GitLab CI/CD, GitHub Actions, CircleCI, Travis CI, and Bamboo. Basic concepts of CI/CD include automation, regular integration, testing, intensive testing, constant feedback, and process improvement. Some of the major pipeline phases include deployment, monitoring, testing, artefact management, build automation, and source code management. Despite clear benefits, challenges remain, including infrastructure complexity, dependency management, test reliability, and cultural barriers, particularly in large-scale or enterprise Java projects. This work provides a thorough analysis of CI/CD procedures and resources, including frameworks, best practices, and challenges for Java cloud applications. It highlights strategies to optimize adoption, improve software quality, and accelerate delivery cycles.
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Open Access December 26, 2021

Rule-Based Automation for IT Service Management Workflows

Abstract The automation of IT Service Management (ITSM) workflows using explicit rules and data has been established for years. Domain-specific rule engines interpret rules written in declarative rule modelling languages and generate forwarding arrows to process event streams and support decision making. Such automation is augmented by rule-driven Quality Assurance for correctness, safety, and risk [...] Read more.
The automation of IT Service Management (ITSM) workflows using explicit rules and data has been established for years. Domain-specific rule engines interpret rules written in declarative rule modelling languages and generate forwarding arrows to process event streams and support decision making. Such automation is augmented by rule-driven Quality Assurance for correctness, safety, and risk management. The service desk is the onshore base of an ITSM supply chain. An end-to-end incident response service resolves incidents using only onshore resources and employs back office teams to help with unresolvable incidents. The forward factories of rule-based automation for ticket processing service are identified. Several rule-based workflows in incident and change management have been published. Further glimpses of the future across all ITSM workflows are provided based on training in an online ITSM service with automated operations. Rule engines are specialised components that direct the processing of data flows according to pre-defined rules. Decision factories complement the more common event-driven rule engines. While event processing occurs below the polling frequency of the source, rules in decision factories are triggered based on the arrival of data. These factories are applied in ITSM for risk and safety evaluation and quality assurance. Rule-enriched architectures incorporate domain-specific modelling languages to ensure correctness with respect to qualitative quality attributes. Dedicated factories provide resilience, detect slack or over-utilisation, and offer point-in-time assurance and testing.
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Open Access December 18, 2020

Event-Driven Architectures for Real-Time Regulatory Monitoring in Global Banking

Abstract The global banking industry is subject to ever-growing regulatory requirements, designed to prevent financial tour de force repeats tearing through the world economy. The changes are incomplete and new rules being enacted each year. Implementing and executing these rules and regulations requires the guiding principles from senior management to reach the product desks in a clear and efficient way. [...] Read more.
The global banking industry is subject to ever-growing regulatory requirements, designed to prevent financial tour de force repeats tearing through the world economy. The changes are incomplete and new rules being enacted each year. Implementing and executing these rules and regulations requires the guiding principles from senior management to reach the product desks in a clear and efficient way. Technical systems must implement these rules. Differences in interpretation, implementation, and warnings must be addressed during normal operations. Most importantly, systems must provide warning alerts to management and the business as early as possible, to allow for proper handling. History has shown that the importance of early warnings has been overlooked repeatedly. Real-time capabilities are essential to meet these business needs. Organizations must therefore be ready to embrace a next-generation architecture that enables real-time alert and warning generation. Systems based on a streaming architecture, combined with systems enabling the real-time flow of events between domains supported by orchestration, provide a solid foundation to meet these requirements.
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Open Access December 27, 2020

Improving Data Quality and Lineage in Regulated Financial Data Platforms

Abstract Data quality and data lineage are critical concerns for organizations mandated to comply with stringent regulatory regimes. This paper analyses the latest developments in the governance of data quality and data lineage within a regulated financial services organisation. It sets out the underlying regulatory context, describes the concepts employed in the business environment, summarizes how data [...] Read more.
Data quality and data lineage are critical concerns for organizations mandated to comply with stringent regulatory regimes. This paper analyses the latest developments in the governance of data quality and data lineage within a regulated financial services organisation. It sets out the underlying regulatory context, describes the concepts employed in the business environment, summarizes how data quality is captured and monitored, examines the artefacts that record data lineage, reviews the roles and responsibilities of staff who implement the necessary processes, and maps areas where improvements are possible. The internal organization and processes of regulated data platforms are shaped not only by the capabilities prescribed by their technical architecture but also by the regulatory regimes under which they operate. These mandates, in particular, require rigorous examination of four aspects of data quality — accuracy, completeness, consistency, and timeliness — and detailed documentation of how data arrives in its final form in the repository. Although data monitoring, alerting, assessment, and remediation are well established, provenance capture remains an area ripe for further investment.
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Open Access December 26, 2021

Architectural Frameworks for Large-Scale Electronic Health Record Data Platforms

Abstract Architectural frameworks for large-scale Electronic Health Record (EHR) data platforms are described. Existing EHR data platform architectures often leverage multiple cloud-based solutions blended with institutional infrastructures to manage and analyze clinical data at scale. Key design principles governing the scale of existing EHR data architecture include model design, governance structure, [...] Read more.
Architectural frameworks for large-scale Electronic Health Record (EHR) data platforms are described. Existing EHR data platform architectures often leverage multiple cloud-based solutions blended with institutional infrastructures to manage and analyze clinical data at scale. Key design principles governing the scale of existing EHR data architecture include model design, governance structure, data access management, data security/policy/protection, data-information-language-based standardization, and analytics tool alignment, among others. The rapidly evolving technology landscape and the unprecedented volume of incident and retrospective clinical data being collected and generated within healthcare organizations have led to the emergent need for a dedicated architectural framework to support large-scale computing in the health informatics domain. The application areas of large-scale computing in health informatics include real-time predictive analytics, risk stratification, patient cohort analytics, development of predictive models for specific institutions or population groups, and many more. The use of EHR data for a multitude of decision-making processes in both clinical and non-clinical settings has prompted the establishment of policies prescribing the conditions of access and use of EHR data for non-employed individuals in the organization. Consequently, the demand for accessing, using, and managing EHR data at scale has impacted the over.
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Open Access December 26, 2021

Scalable Data Warehouse Architecture for Population Health Management and Predictive Analytics

Abstract Scalable architecture principles for data warehousing are introduced to support population health management and predictive analytics. These principles are validated through the design of an accompanying Data Pipeline that allows the integration of non-traditional data sources, the use of real-time data for descriptive analytics dashboards, and support for the generation of supervised Machine [...] Read more.
Scalable architecture principles for data warehousing are introduced to support population health management and predictive analytics. These principles are validated through the design of an accompanying Data Pipeline that allows the integration of non-traditional data sources, the use of real-time data for descriptive analytics dashboards, and support for the generation of supervised Machine Learning models. Several analytical capabilities have been implemented to exemplify the practical application of the principles, including predictive models for Risk Stratification in health care. Optimal cost-effectiveness and performance considerations ensure the practical relevance of the architectural principles and associated Data Pipeline. In recent years, the availability of Low-Cost Data Storage services and the increasing popularity of Streaming technologies opened new possibilities for the storage and processing of Streaming data on a near-real-time basis. These technologies can help Developing Countries in tackling many relevant issues such as Urban Planning, Environmental Management, Migration Policies, etc. A multi-tier approach combining Cloud-based Storage with Data Warehousing and Data Mining technologies can offer an interesting architecture to exploit Big Data related to populations.
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Open Access June 28, 2016

Scalable Task Scheduling in Cloud Computing Environments Using Swarm Intelligence-Based Optimization Algorithms

Abstract Effective task scheduling in cloud computing is crucial for optimizing system performance and resource utilization. Traditional scheduling methods often struggle to adapt to the dynamic and complex nature of cloud environments, where workloads, resource availability, and task requirements constantly change. Swarm intelligence-based optimization algorithms, such as Particle Swarm Optimization [...] Read more.
Effective task scheduling in cloud computing is crucial for optimizing system performance and resource utilization. Traditional scheduling methods often struggle to adapt to the dynamic and complex nature of cloud environments, where workloads, resource availability, and task requirements constantly change. Swarm intelligence-based optimization algorithms, such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Artificial Bee Colony (ABC), offer a promising solution by mimicking natural processes to explore large search spaces efficiently. These algorithms are effective in balancing multiple objectives, including minimizing execution time, reducing energy consumption, and ensuring fairness in resource allocation. They also enhance system scalability, which is vital for modern cloud infrastructures. However, challenges remain, including slow convergence speeds, complex parameter tuning, and integration with existing cloud frameworks. Addressing these issues will be essential for the practical implementation of swarm intelligence in cloud task scheduling, helping to improve resource management and overall system performance.
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