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Open Access March 06, 2025

Impact of Food Security on Dietary Diversity and Nutritional Intake Among Pregnant Women in Low-Resource Settings

Abstract Background: Food security and dietary diversity are essential determinants of maternal health, particularly among pregnant women in refugee populations who face heightened vulnerabilities due to displacement and inadequate living conditions. This study examines the impact of food security on dietary diversity and nutritional intake among pregnant Rohingya women residing in the makeshift [...] Read more.
Background: Food security and dietary diversity are essential determinants of maternal health, particularly among pregnant women in refugee populations who face heightened vulnerabilities due to displacement and inadequate living conditions. This study examines the impact of food security on dietary diversity and nutritional intake among pregnant Rohingya women residing in the makeshift camps of Ukhiya, Cox’s Bazar. Methods: A descriptive cross-sectional study was conducted among 96 pregnant Rohingya women from June to September 2022. Data were collected using structured questionnaires assessing socio-demographic characteristics, food security, and dietary diversity. Food security was evaluated using the Household Food Insecurity Access Scale (HFIAS), while dietary diversity was assessed through a 24-hour dietary recall and a 7-day food frequency questionnaire. Data were analyzed using SPSS (Version 26) and Stata (Version 13), employing descriptive statistics and chi-square tests to examine associations. Results: Most participants (57.3%) were food secure, and 85.4% demonstrated high dietary diversity, consuming seven or more food groups. However, 21.9% of households experienced severe food insecurity, highlighting ongoing challenges in food access. The highest consumption was observed for starch, flesh foods, dark green leafy vegetables, and vitamin A-rich fruits and vegetables (99.0%), while dairy products (69.8%) and organ meat (34.4%) were consumed less frequently. Despite high dietary diversity, severe food insecurity persists, indicating gaps in food assistance programs. Conclusions: While food support programs appear to contribute to high dietary diversity among pregnant Rohingya women, severe food insecurity remains a significant concern. Strengthening food security interventions, improving access to diverse nutrient-rich foods, and integrating sustainable food assistance models are essential to addressing these challenges. Future research should explore long-term strategies to enhance food security and assess the impact of targeted nutritional interventions on maternal health outcomes in refugee settings.
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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 10, 2025

Artificial Immune Systems: A Bio-Inspired Paradigm for Computational Intelligence

Abstract Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a [...] Read more.
Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a comprehensive exploration of AIS applications in domains such as cybersecurity, resource allocation, and autonomous systems, highlighting the growing importance of hybrid AIS models. Recent advancements, including integrations with machine learning, quantum computing, and bioinformatics, are discussed as solutions to scalability, high-dimensional data processing, and efficiency challenges. Core algorithms, such as the Negative Selection Algorithm (NSA) and Clonal Selection Algorithm (CSA), are examined, along with limitations in interpretability and compatibility with emerging AI paradigms. The paper concludes by proposing future research directions, emphasizing scalable hybrid frameworks, quantum-inspired approaches, and real-time adaptive systems, underscoring AIS's transformative potential across diverse computational fields.
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Open Access December 10, 2024

Psychological Corollaries, Self-Care and Coping Behaviors of Healthcare Workers During COVID-19 Pandemic: An Integrative Review

Abstract Background: The COVID-19 pandemic posed significant psychological challenges to frontline healthcare workers (HCWs), including anxiety, stress, and emotional strain. Aim: This study investigates the psychological impact on HCWs during the pandemic and explores coping strategies employed to manage distress. Methods: An integrative review was conducted using 24 studies published [...] Read more.
Background: The COVID-19 pandemic posed significant psychological challenges to frontline healthcare workers (HCWs), including anxiety, stress, and emotional strain. Aim: This study investigates the psychological impact on HCWs during the pandemic and explores coping strategies employed to manage distress. Methods: An integrative review was conducted using 24 studies published between January and December 2020. These studies were analyzed to identify common psychological outcomes and coping mechanisms among HCWs. Results: Healthcare workers experienced significant psychological distress during the COVID-19 pandemic, including anxiety, stress, insomnia, and depression. Anxiety was the most commonly reported issue, particularly among women, younger healthcare workers, and frontline staff. Stress levels were heightened by high workloads, exposure to COVID-19 patients, and inadequate protective measures. Coping strategies and self-care behaviors, such as seeking social support and utilizing institutional resources, varied in effectiveness across populations. Conclusion: The findings highlight the urgent need for targeted mental health support and resilience programs for HCWs, ensuring they are better equipped to face future health crises.
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Integrative Review
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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Open Access March 05, 2024

Culture Shock in Nursing: A Concept Analysis

Abstract 1) Background: Culture shock is a common experience by internationally educated nurses (IENs) working in foreign countries, characterized by disorientation and discomfort due to distinct norms, values, and rituals. 2) Aim: this study explores culture shock in IENs and explores mitigation techniques to enhance understanding of challenges faced in foreign cultural contexts. [...] Read more.
1) Background: Culture shock is a common experience by internationally educated nurses (IENs) working in foreign countries, characterized by disorientation and discomfort due to distinct norms, values, and rituals. 2) Aim: this study explores culture shock in IENs and explores mitigation techniques to enhance understanding of challenges faced in foreign cultural contexts. 3) Method: Using Concept Analysis by Walker and Avant (2019). 4) Results: A total of 20 articles were reviewed. Four major attributes were identified: psychological and emotional impact, communication barriers, acculturation and quality of life, and organizational challenges. 5) Conclusion: This paper explores the challenges faced by nurses from foreign countries due to cultural adjustment and proposes solutions to minimize its effects. It is beneficial for nurses, healthcare organizations, and policymakers, aiming to improve patient care and health outcomes. 6) Implication for Practice: Addressing culture shock can promote a smooth transition, enhance nurses' experience, and improve their cultural competence. Providing tailored orientation and mentorship programs can help IENs feel supported and empowered, leading to increased job satisfaction, retention rates, and better patient outcomes.
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Open Access January 02, 2024

Constructability and Rigor of Angles Multiples of 3 in Euclidean Geometry

Abstract This paper investigates the constructability of angles multiples of 3 within the framework of Euclidean geometry. It makes a significant contribution by presenting the first geometric construction for all such angles, offering a rigorous solution to a longstanding geometric problem. The paper reaffirms the efficacy of Euclidean geometry in providing precise constructions and robust proofs for [...] Read more.
This paper investigates the constructability of angles multiples of 3 within the framework of Euclidean geometry. It makes a significant contribution by presenting the first geometric construction for all such angles, offering a rigorous solution to a longstanding geometric problem. The paper reaffirms the efficacy of Euclidean geometry in providing precise constructions and robust proofs for these angles, demonstrating the enduring strength of Euclidean principles from classical to modern times. The presented workflow goes beyond Euclidean geometry to examine non-Euclidean methods, particularly analytical approaches, revealing misconceptions that compromise the genetic and geometric rigor of Euclidean principles. The paper exposes incongruities when algebraic proofs related to angle constructability are applied to the Euclidean system, emphasizing the misalignment of fundamental geometric concepts. A notable result in the paper is the construction of a angle, introducing the “ angle chord” as a novel geometric property. This property challenges assumptions made by non-Euclidean methods and highlights the nuanced geometric properties crucial for rigorous constructions. The paper refutes the fallacy of relying solely on algebra for solutions to angles multiples of , emphasizing the necessity of embracing Euclidean geometry for geometric discoveries. The paper underscores the merits and resilience of Euclidean geometry, showcasing its independence and depth across historical and modern perspectives. The newly presented geometric construction not only resolves a longstanding question but also emphasizes the intrinsic strength and uniqueness of Euclidean principles in contrast to alternative methodologies.
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Open Access November 03, 2023

Quality of Communication between Healthcare Providers and Pregnant Women: Impact on Maternal Satisfaction, Health Outcomes, and Shared Decision-Making

Abstract The quality of communication between healthcare providers and pregnant women is a topic of paramount importance within the realm of maternal healthcare. It is not merely an aspect of medical interaction; rather, it is the prerequisite that influences various critical dimensions of maternal care, including maternal satisfaction, health outcomes, and shared decision-making. Effective communication [...] Read more.
The quality of communication between healthcare providers and pregnant women is a topic of paramount importance within the realm of maternal healthcare. It is not merely an aspect of medical interaction; rather, it is the prerequisite that influences various critical dimensions of maternal care, including maternal satisfaction, health outcomes, and shared decision-making. Effective communication between healthcare providers and pregnant women is essential for optimal maternal care during pregnancy and childbirth. Maternal satisfaction is a fundamental metric of patient-centered care, and improved communication, characterized by empathy, information sharing, and active listening, cultivates trust and enhances women's contentment with their care experiences. Positive provider-patient interactions are associated with improved emotional well-being, reduced stress levels, and increased adherence to prenatal recommendations, contributing to positive health outcomes for both mother and fetus. Shared decision-making is impacted by open and transparent dialogue between healthcare providers and pregnant women. Inclusive discussions about available interventions, risks, and benefits empower women to make informed choices aligned with their preferences and values. This shared decision-making promotes autonomy, self-efficacy, and a collaborative care partnership, potentially influencing the birthing experience and postpartum adaptation. However, challenges persist in communication quality, such as variability in healthcare provider communication styles, cultural considerations, and system-level factors. Addressing these challenges through targeted interventions, training, and policy implementation can further enhance the overall maternal care experience. Further research is needed to explore innovative strategies that optimize communication and promote positive outcomes throughout the continuum of maternal care.
Review Article
Open Access October 03, 2023

Pharmaceutical Drug Serialization: A Comprehensive Review

Abstract A persistent problem in the pharmaceutical industry that has existed for centuries is the prevalence of counterfeit drugs, and the World Health Organization (WHO) estimates that millions of people are affected by this issue each year. In particular, 4 out of 10 drugs in poor or underdeveloped countries may be adulterated, which can lead to severe adverse events. To address this problem, many [...] Read more.
A persistent problem in the pharmaceutical industry that has existed for centuries is the prevalence of counterfeit drugs, and the World Health Organization (WHO) estimates that millions of people are affected by this issue each year. In particular, 4 out of 10 drugs in poor or underdeveloped countries may be adulterated, which can lead to severe adverse events. To address this problem, many countries have implemented regulatory compliance measures such as pharmaceutical drug serialization, which requires the unique identification of every drug package manufactured. This enables tracking and tracing of individual packages throughout the supply chain and helps to prevent counterfeit drugs from entering the market. In this paper, we conduct a systematic review of the serialization process evaluation and its impact on the pharmaceutical industry. We discuss the benefits of pharmaceutical drug serialization, including its ability to improve drug security and reduce adverse events and investigations. We also examine the challenges associated with implementing serialization processes and the regulatory requirements necessary for compliance. Finally, we explore the various tracking and tracing technologies used in serialization processes and their effectiveness in preventing the distribution of counterfeit drugs. Overall, this paper highlights the importance of pharmaceutical drug serialization in ensuring the safety and efficacy of drugs in the healthcare industry, particularly in poor or underdeveloped countries where the problem of adulterated drugs is especially prevalent.
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Review 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 March 03, 2023

Novel Approaches to Address the Dual Challenges of Neurodegeneration and Aging

Abstract Neurodegeneration and aging are pressing issues with significant personal, economic, ethical, and social consequences. However, the underlying biological mechanisms of these conditions remain largely unknown, making the development of effective treatments challenging. The difficulty in early detection and diagnosis of neurodegenerative diseases further compounds the issue. Recent advancements in [...] Read more.
Neurodegeneration and aging are pressing issues with significant personal, economic, ethical, and social consequences. However, the underlying biological mechanisms of these conditions remain largely unknown, making the development of effective treatments challenging. The difficulty in early detection and diagnosis of neurodegenerative diseases further compounds the issue. Recent advancements in genetics, genomics, and brain imaging technology hold great promise for improving our understanding of neurodegeneration and aging, as well as the development of personalized medicine and new drugs and therapies. Addressing these challenges will require a multi-disciplinary and collaborative approach from researchers in various fields. This Special Issue offers valuable insights and perspectives on this critical area of research, which can help advance our understanding and improve the health and well-being of our aging population.
Editorial
Open Access February 21, 2023

Clinicians’ Perception of Spirituality in Oncology Care: A Qualitative Synthesis

Abstract Background: By rediscovering the medical field spiritual foundation, clinicians sought to balance their care and realize that spirituality is frequently associated with healthcare, thus one’s spiritual beliefs influence patients' decisions between aggressive care and complementary therapies in oncology care. Aim: This study investigates clinicians’ experiences and perceptions of [...] Read more.
Background: By rediscovering the medical field spiritual foundation, clinicians sought to balance their care and realize that spirituality is frequently associated with healthcare, thus one’s spiritual beliefs influence patients' decisions between aggressive care and complementary therapies in oncology care. Aim: This study investigates clinicians’ experiences and perceptions of spirituality in oncology care that clinicians can utilize to improve cancer and spiritual care provision. Methods: A thematic, qualitative synthesis. Results: Four main themes emerged from the synthesis of the 11 included studies that can steer future framework and policies to make clinicians more inept in providing care to address spiritual well-being of the patients and their family from a clinician's point of view of spirituality: “Maintaining Hope and Spiritual Wellness, Clinician’s Sensitivity to Cancer Patients, Provision of Culturally Respectful Spiritual Care, and Education in Providing Spiritual Care”. Conclusion: Cancer patients, cancer survivors, and clinicians’ quality of life is correlated with measures of spirituality and spiritual well-being. Spirituality also fulfill these oncologic patients has been linked to improved emotional and spiritual adjustment. Implications: Clinicians with different proficiencies, novice or expert, develop a strong spiritual belief can also be a strength when it comes to caring for those terminally ill patients, to be able to aid them in their sufferings. Amidst the challenges of spiritual care, these clinicians provide a patient strategy approach that is holistic to the care.
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Review Article
Open Access February 07, 2023

Building a Holistic Approach: Uniting Marxist and Smithian Economics for a More Resilient Economic Theory

Abstract In this article, we discuss a new proposed concept of economic engineering that seeks to innovate a new model by combining the theories of Karl Marx and Adam Smith, taking into consideration main economic factors to create a sustainable and inclusive economic system that addresses existing challenges and provides a roadmap for future economic growth. Through a brief analysis of the existing gaps [...] Read more.
In this article, we discuss a new proposed concept of economic engineering that seeks to innovate a new model by combining the theories of Karl Marx and Adam Smith, taking into consideration main economic factors to create a sustainable and inclusive economic system that addresses existing challenges and provides a roadmap for future economic growth. Through a brief analysis of the existing gaps between Marxist and Smithian economics, we developed a new economic matrix that leverages the strengths of both theories while also incorporating the latest insights from modern economic research. Our novel approach to economic engineering represents a fresh perspective on the economy and offers practical tool for addressing the most pressing challenges facing society today.
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Review Article
Open Access December 02, 2022

Effect of Industrial Effluent on Irrigation Water Quality of Choba River in the Niger Delta Region of Nigeria

Abstract Poor irrigation water quality due to oil spillage on surface water can result in food insecurity, health and economic challenges. This paper investigated the effect of total petroleum hydrocarbon (TPHC) and lead (Pb) on irrigation water quality in the oil spill prone area of the Niger Delta region of Nigeria. Water samples were taken from five different sections labelled A, B, C, D, and E along [...] Read more.
Poor irrigation water quality due to oil spillage on surface water can result in food insecurity, health and economic challenges. This paper investigated the effect of total petroleum hydrocarbon (TPHC) and lead (Pb) on irrigation water quality in the oil spill prone area of the Niger Delta region of Nigeria. Water samples were taken from five different sections labelled A, B, C, D, and E along the Choba River, in Rivers State, Nigeria. Sections B, C, D and E were direct industrial effluent discharge points while section A was without direct industrial effluent discharge. Standard methods were employed in the water sampling and analysis. Suitability of Choba river water for irrigation was assessed by comprehensive pollution index (CPI) that incorporated salinity, sodicity, and permeability hazard potentials as well as the specific toxicity hazard potentials of TPHC and Pb. Results showed that all primary water parameters except pH were within the Food and Agriculture Organization (FAO) guidelines. The pH was low, ranging between 4.48 and 5.6. TPHC values for four out of the five samples were greater than the 10mg/l guideline as recommended by the Directorate of Petroleum Resources for surface water. TPHC for the four samples ranged between 14.52 and 174.32mg/l. The parameters with the most impact on CPI include EC, PI and TPHC with TPHC having the most impact. Water samples from sections A, B and E with CPI values 0.14, 0.37, and 0.8 respectively were classified in the clean, sub clean and slightly polluted categories respectively, while water samples from sections C and D with CPI values greater than 1 range from moderately to heavily polluted and not suitable for agricultural irrigation. Only water sample A was found suitable for irrigation.
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Open Access May 06, 2022

Drivers of Acute Diarrhea in Mothers of Children between 6 and 59 Months old in Kinshasa Households, Democratic Republic of the Congo

Abstract Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas [...] Read more.
Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas in Kinshasa namely Centre Supérieur Militaire Mobikisi and Hopital Militaire Central. It is a cross-sectional study of analytical type having a correlational design. In fact, 114 mothers having children aged 6 to 59 months old who had experienced at least three diarrheal episodes were selected and this research was carried out in January 2020. Independent variables were socio-economic factors and dependent variables were biological factors. Descriptive statistical analyses of which frequency and percentage were performed to describe the sampling profile. To measure the strength of association between different variables, the Pearson's Chi-Square (X2) test was used. The findings showed that 57% live in a high socio-economic environment compared to 43% who have a low socio-economic environment responsible for the occurrence of acute diarrhea. It was observed that 67.7% of participants knew the importance of access to health care services, compared to 32.3% who did not know. Meanwhile, 50.8% lived in a healthy environment versus 49.2% who had an unhealthy environment. Furthermore, 53.8% were in an acceptable demographic and biological situation, compared to 46.2% who were in a precarious demographic and biological situation. Acute diarrhea in children aged 6-59 months is one of the causes of morbidity and mortality in Kinshasa city. Obstacles to effective care are related to the lack of quality service provision. Policy makers must therefore put in place interventions to address these challenges in order to reduce infant morbidity and mortality in this area.
Article
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 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 December 30, 2025

Elimination of HIV Transmission Risks through Viral Suppression: Undetectable=Untransmittable and its Impact among People Living with HIV

Abstract The principle of Undetectable = Untransmittable (U=U) posits that people living with the human immunodeficiency virus (HIV) who are able to achieve and maintain a viral load of <200 copies/mL by regularly taking antiretroviral drugs (ARVs) are considered virally suppressed and cannot transmit the HIV virus to other individuals through sex. This groundbreaking message has emerged as a key HIV [...] Read more.
The principle of Undetectable = Untransmittable (U=U) posits that people living with the human immunodeficiency virus (HIV) who are able to achieve and maintain a viral load of <200 copies/mL by regularly taking antiretroviral drugs (ARVs) are considered virally suppressed and cannot transmit the HIV virus to other individuals through sex. This groundbreaking message has emerged as a key HIV prevention strategy for eliminating transmission risks and enhancing the quality of life of people living with HIV. This narrative review explores the clinical foundation of U=U, the level of awareness and acceptance of the message globally, and the psychosocial impact on people living with HIV. It has been discovered that this message minimizes stigma, improves mental health, promote treatment adherence and good disclosure behaviors among people living with HIV. Evidence has shown that despite the U=U revolution for HIV prevention, there are significant differences in awareness and acceptance of the message among different population groups. The challenges noted were poor communication by healthcare providers, limitations in the health system, and stigma issues. Nevertheless, the inclusion of U=U in mainstream HIV services has proven to increase awareness and enhance its adoption. The urgent need in the present review is to advocate for strategies to increase the equitable distribution of U=U to harness its full potential in public health.
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Review Article
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 October 20, 2025

From Subordination to Empowerment: The Journey of Yi Women in Daliangshan

Abstract This paper examines the transformation of Yi women’s social status in Daliangshan, Sichuan Province. It analyzes historical practices—including child marriage (wawaqin [...] Read more.
This paper examines the transformation of Yi women’s social status in Daliangshan, Sichuan Province. It analyzes historical practices—including child marriage (wawaqin) and the tradition of high bridal gifts—along with the role of education, economic modernization, and cultural advocacy initiatives. The study situates these developments within the framework of the United Nations Sustainable Development Goals (SDGs), focusing on gender equality, poverty alleviation, and equitable development. Field interviews, observations, and community-based projects inform this analysis, which highlights both progress and persisting challenges for Yi women.
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Open Access October 09, 2025

Simulation-Based Learning in Nursing Education: Perspectives of Student Nurses in the Philippines

Abstract Simulation-based learning (SBL) is widely recognized as an effective educational approach that bridges theory and practice in nursing education. Despite its global adoption, limited research has examined the experiences of Filipino nursing students with SBL, particularly in resource-constrained settings. This study explored the perspectives of Bachelor of Science in Nursing students from a [...] Read more.
Simulation-based learning (SBL) is widely recognized as an effective educational approach that bridges theory and practice in nursing education. Despite its global adoption, limited research has examined the experiences of Filipino nursing students with SBL, particularly in resource-constrained settings. This study explored the perspectives of Bachelor of Science in Nursing students from a university in Metro Manila, Philippines, on the impact of SBL on their skills, emotional responses, and challenges encountered. A descriptive qualitative design was employed using purposive sampling of ten students who had participated in at least one SBL activity. Data were collected through semi-structured interviews and short written reflections and analyzed thematically following Braun and Clarke’s framework to capture nuanced experiences. Three major themes emerged from the analysis. First, students reported initial anxiety, nervousness, and stress during their early SBL experiences, which gradually transformed into confidence, adaptability, and resilience as they gained familiarity and competence. Second, SBL enhanced technical and cognitive skills such as clinical judgment, decision-making, teamwork, and patient-centered care, supporting students’ readiness for real-world practice. Third, students identified resource limitations, insufficient equipment, and time constraints as significant barriers to optimal learning, though these challenges also fostered creativity and perseverance. The findings demonstrate that SBL fosters technical competence, critical thinking, and professional growth but requires institutional support to address resource constraints and faculty development needs. This study underscores the importance of expanding SBL in Philippine nursing curricula to align with international best practices and to contribute to Sustainable Development Goals 3 (good health and well-being), 4 (quality education), and 5 (gender equality).
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Open Access September 24, 2025

A Convergence of the Muller’s Sequence

Abstract In this paper, we will examine a rather complex case of the paradoxical nature of certain conclusions that may arise when studying the numerical convergence of a specific nonlinear recursive sequence, known in the literature as Muller’s sequence. To analyze the peculiar computational behavior of this sequence, it is necessary to employ a powerful mathematical framework in order to understand the [...] Read more.
In this paper, we will examine a rather complex case of the paradoxical nature of certain conclusions that may arise when studying the numerical convergence of a specific nonlinear recursive sequence, known in the literature as Muller’s sequence. To analyze the peculiar computational behavior of this sequence, it is necessary to employ a powerful mathematical framework in order to understand the nontrivial issues that can arise when the software implementation of this seemingly simple mathematical problem. These challenges often stem from the limitations of numerical methods and the inherent errors in computer arithmetic, which can affect the accuracy and stability of the results, particularly when dealing with iterative methods like Muller's sequence.
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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 30, 2025

Bioinformatic Analysis of GCN1 as a Novel Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma and Preliminary Exploration of Its Molecular Mechanisms

Abstract Background: Hepatocellular carcinoma (HCC) faces significant challenges in early diagnosis and prognostic assessment, necessitating novel molecular biomarkers. The role of GCN1 in tumorigenesis remains unclear, warranting systematic investigation of its clinical value. Methods: Utilizing multi-omics data from 164 HCC patients in the TCGA database, we comprehensively [...] Read more.
Background: Hepatocellular carcinoma (HCC) faces significant challenges in early diagnosis and prognostic assessment, necessitating novel molecular biomarkers. The role of GCN1 in tumorigenesis remains unclear, warranting systematic investigation of its clinical value. Methods: Utilizing multi-omics data from 164 HCC patients in the TCGA database, we comprehensively evaluated the diagnostic and prognostic value of GCN1 through differential expression analysis, Cox proportional hazards regression, and gene set enrichment analysis (GSEA). Results: GCN1 expression was significantly upregulated in tumor tissues (P<0.001), with ROC analysis demonstrating an AUC of 0.921 (95% CI: 0.893-0.950) for discriminating tumor from normal tissue. Clinical correlation analysis revealed that high GCN1 expression significantly associated with advanced T stage (OR=1.941, P=0.002) and AFP levels >400 ng/ml (OR=3.697, P<0.001). Multivariate survival analysis confirmed its independent prognostic value (HR=1.454, P=0.038). Functional analysis indicated GCN1 promotes tumor progression by regulating cell cycle (NES=2.385) and axon guidance (NES=2.307) pathways. Conclusion: This study first elucidates the dual clinical value of GCN1 in HCC, providing a theoretical foundation for developing novel diagnostic biomarkers and prognostic evaluation systems. Future research should validate its molecular mechanisms and explore potential targeted therapies.
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Open Access July 25, 2025

Significance of Job Satisfaction and Quality Patient Care

Abstract This commentary letter was conducted to evaluate Wang et al.'s (2025) research study on the relationship between perceived staffing and quality of care among hospitals. The current study's findings show that the relationship between professional self-efficacy and job performance is mediated by work engagement. Life contentment influences work engagement, which is associated with enhanced job [...] Read more.
This commentary letter was conducted to evaluate Wang et al.'s (2025) research study on the relationship between perceived staffing and quality of care among hospitals. The current study's findings show that the relationship between professional self-efficacy and job performance is mediated by work engagement. Life contentment influences work engagement, which is associated with enhanced job performance. However, involvement acts as a mediator between job performance and burnout, which could affect the quality of patient care. Staffing satisfaction and quality patient care are closely related, and it is essential for healthcare institutions to prioritize appropriate workforce levels and address the nursing shortage. However, there are still unanswered questions in this sector, such as researching nursing-specific care procedures, addressing data challenges, and understanding the connections between nursing practice and patient care outcomes. Future research should address the "black box" of nursing practice and address variations in the quality of patient care provided by nurses.
Commentary Letter
Open Access June 26, 2025

The Intersection of Climate Change Adaptation and Smallholder Farmer Food Security: A Review of Strategies and Barriers

Abstract Smallholder farmers play a pivotal role in global food security; however, they remain exceptionally vulnerable to the impacts of climate change due to their reliance on natural resources and limited adaptive capacities. This narrative review synthesizes a wide range of global sources to explore the intersection of smallholder agriculture and climate adaptation strategies. The review examines [...] Read more.
Smallholder farmers play a pivotal role in global food security; however, they remain exceptionally vulnerable to the impacts of climate change due to their reliance on natural resources and limited adaptive capacities. This narrative review synthesizes a wide range of global sources to explore the intersection of smallholder agriculture and climate adaptation strategies. The review examines adaptation practices, agroecological methods, and the adoption of climate-resilient crop varieties. It reveals that the implementation of these strategies is frequently hindered by systemic barriers such as financial constraints, limited technological access, and institutional inefficiencies. Recognizing that previous studies have addressed isolated aspects of adaptation or relied on secondary data, this review highlights research gaps and offers a comprehensive synthesis of relevant literature. This review uses a narrative synthesis model suitable for integrating evidence from agronomy, economics, and social science to capture the complex challenges faced by smallholder farmers. The review emphasizes the importance of policy frameworks and participatory approaches that empower smallholder communities. This review synthesizes current evidence to inform potential directions for targeted interventions and future field-based studies, while recognizing the limitations of relying on secondary data. These recommendations aim to facilitate integrated policy reforms and drive research initiatives, ultimately strengthening the resilience and adaptability of smallholder agriculture in the face of ongoing climate change.
Review Article
Open Access June 03, 2025

Complexity Leadership Theory Integration into Nursing Leadership and Development in Addressing COVID-19 and Future Pandemics

Abstract Complexity Leadership Theory (CLT) is a new and revolutionary concept in addressing healthcare crises worldwide. Its relevance and applications were tested during the COVID-19 pandemic. However, no definite and encompassing research was done to apply it to nursing leadership. Thus, this study examines CLT integration into nursing leadership to address the challenges posed by the pandemic. Through [...] Read more.
Complexity Leadership Theory (CLT) is a new and revolutionary concept in addressing healthcare crises worldwide. Its relevance and applications were tested during the COVID-19 pandemic. However, no definite and encompassing research was done to apply it to nursing leadership. Thus, this study examines CLT integration into nursing leadership to address the challenges posed by the pandemic. Through a systematic review of literature from PubMed, Scopus, and Web of Science, relevant studies were analyzed to determine how complexity leadership theory was defined, conceptualized, and operationalized within nursing leadership context. The findings reveal that traditional hierarchical leadership models are insufficient in a dynamic crisis environment like the pandemic. Instead, CLT’s framework which encompasses adaptive, administrative, and enabling leadership facilitates innovation, resilience, and effective interprofessional collaboration. Nurse leaders employing these strategies are better positioned to manage resources limitation, foster shared decision-making, and implement technological advancements in rapidly changing healthcare settings. Overall, this study underscores the potential of complexity leadership theory to transform nursing leadership practices by promoting continuous learning and empowerment, thereby enhancing crisis response and preparedness for future pandemics.
Systematic Review
Open Access May 30, 2025

Advancing Women's Soccer: Historical Growth and Challenges Concerning Athlete Health and Diversity

Abstract This exploratory review article synthesizes existing literature on the evolution and increasing significance of women's soccer, particularly in the United States. While acknowledging the sport's progress and the achievements of the U.S. Women's National Team (USWNT), it critically examines two key challenges that impede further advancement: the alarmingly high incidence of knee injuries among [...] Read more.
This exploratory review article synthesizes existing literature on the evolution and increasing significance of women's soccer, particularly in the United States. While acknowledging the sport's progress and the achievements of the U.S. Women's National Team (USWNT), it critically examines two key challenges that impede further advancement: the alarmingly high incidence of knee injuries among female players and the persistent underrepresentation of Black women. The review highlights the biomechanical factors contributing to these issues, emphasizing the need for footwear designed to accommodate the specific anatomical and functional requirements of female athletes. Furthermore, it explores the systemic barriers that contribute to the lack of diversity within the sport, advocating for equitable opportunities and support for Black women. This review concludes by underscoring the necessity for innovative, interdisciplinary approaches to ensure the continued growth and well-being of all participants in women's soccer, and identifies critical areas for future research in kinesiology and related fields.
Review Article
Open Access May 15, 2025

Teaching Social Studies in an Integrated Manner: The Lived Experience of Out-Of-Field Social Studies Teachers

Abstract This study investigated the pedagogical implications of out-of-field teaching in Social Studies. The Out-of-field Social Studies teachers could encounter several challenges in their preparation and the implementation of the integrated Social Studies curriculum. This study sought the lived experiences of the out-of-field teachers concerning the causes of out-of-field teaching in social studies, [...] Read more.
This study investigated the pedagogical implications of out-of-field teaching in Social Studies. The Out-of-field Social Studies teachers could encounter several challenges in their preparation and the implementation of the integrated Social Studies curriculum. This study sought the lived experiences of the out-of-field teachers concerning the causes of out-of-field teaching in social studies, problems encountered by the out-of-field teachers and the mechanisms they employ to cope with the teaching of Social Studies. The study chose the qualitative phenomenological research design. Data were collected from all the 17 out-of-field Social Studies teachers through in-depth structured interview. Data were transcribed and analysed, through the inductive thematic analysis approach, unveiling of themes and concepts from the narratives of the research participants. The study revealed that out-of-field teaching in Social Studies occurs as a result of teacher shortage in integrated social studies programme. It is also caused by the perception that any teacher could teach Social Studies irrespective of the teachers’ qualification. Out-of-field teacher encounter problems such as inadequate content and pedagogical knowledge, lack of classroom managerial techniques and inability to deliver lessons through the integrated approach. Engaging in professional development courses, peer coaching, in-service training and workshops were some of the mechanisms employed by out-of-field teachers to cope with the teaching of Social Studies. The pedagogical implications of this phenomenon are that when teaching the Social Studies, the out-of-field teachers place more emphasis on aspects of the Social Studies curriculum where they have much knowledge and skip or put less emphasis on other aspects they lack in-depth knowledge, thus, the integrated approach to teaching Social Studies is not adopted effectively by out-of-field teachers. This waters down the content of Social Studies at the Senior High School level. Addressing the problem of out-of-field teaching in Social Studies requires training and recruiting more teachers who have background training and experience in the integrated approach to the teaching of Social Studies.
Review Article
Open Access May 05, 2025

To Be Twice as Good to Get Half

Abstract “To Be Twice as Good to Get Half” is a common mindset among high aspiration and ambition Black individuals in the U.S., capturing the lived reality of Minorities’ Diminished Returns (MDRs). This paper explains that MDRs reflect how, even with high levels of ambition, self-efficacy, education, and income, Black individuals and other marginalized groups do not experience the same protective benefits [...] Read more.
“To Be Twice as Good to Get Half” is a common mindset among high aspiration and ambition Black individuals in the U.S., capturing the lived reality of Minorities’ Diminished Returns (MDRs). This paper explains that MDRs reflect how, even with high levels of ambition, self-efficacy, education, and income, Black individuals and other marginalized groups do not experience the same protective benefits for health and well-being as White populations. Systemic obstacles embedded within U.S. society weaken the expected returns on socioeconomic achievements for racialized individuals, creating a reality where “being twice as good” still results in lesser outcomes. High-SES Black individuals, for instance, continue to face significant risks for adverse outcomes, such as depression and chronic disease, due to structural inequities across domains like labor market discrimination, segregation, and accumulated disadvantage from childhood. Our analysis identifies key mechanisms—including interpersonal discrimination, lower-quality education, and structural racism in sectors like banking, policing, and real estate—that erode the protective effects of SES across racial lines. Mediating factors, such as chronic stress, allostatic load, and epigenetic changes over the life course, further compound these diminished returns, weakening the expected physical and mental health benefits. Drawing on extensive evidence from U.S. national and local datasets and corroborated by international studies, this paper underscores the necessity of policies that dismantle structural barriers rather than relying solely on SES improvements. Recommendations include implementing multi-sectoral policies, recognizing the unique challenges of middle-class non-White populations, and approaching policy with humility, acknowledging that achieving equity is a long-term endeavor. By challenging the “bootstraps” narrative, this paper advocates for structural interventions aimed at genuine health and economic equity for all racial and socioeconomic groups. While we provide an in-depth analysis of MDRs’ phenomena, mechanisms, mediators, and policy implications, the experience is often distilled as, “I have to be twice as good to get half.”
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

How Stigma Affects Patients Seeking Help for Drug Addiction

Abstract Stigma surrounding drug addiction remains a critical barrier to effective treatment, significantly influencing healthcare access, patient engagement, and recovery outcomes. This study explores the multifaceted impact of stigma on individuals seeking help for substance use disorders (SUDs), with a focus on healthcare-related discrimination, internalized stigma, and structural barriers. Research [...] Read more.
Stigma surrounding drug addiction remains a critical barrier to effective treatment, significantly influencing healthcare access, patient engagement, and recovery outcomes. This study explores the multifaceted impact of stigma on individuals seeking help for substance use disorders (SUDs), with a focus on healthcare-related discrimination, internalized stigma, and structural barriers. Research indicates that negative perceptions among healthcare providers contribute to delayed treatment-seeking behaviors, reduced adherence to medication-assisted treatment (MAT), and increased relapse rates. Additionally, patients internalizing these societal judgments experience heightened psychological distress, social isolation, and decreased self-efficacy, further hindering their recovery process. To address these challenges, evidence-based strategies such as addiction medicine education, trauma-informed care, harm reduction approaches, and peer support models have been shown to effectively reduce stigma and improve treatment outcomes. Hospital administrators and nursing leaders play a critical role in fostering a culture of empathy, advocating for the reframing of addiction as a neuro-psycho-biological disease rather than a moral failing. Future research should explore digital mental health interventions, motivational interviewing techniques, and interdisciplinary collaboration to further dismantle stigma and enhance the effectiveness of addiction treatment programs. This study highlights the urgent need for systemic policy changes, targeted educational programs, and a shift in clinical attitudes to create a more inclusive and stigma-free healthcare environment. Through implementing these approaches, healthcare providers can ensure equitable access to treatment and improve long-term health outcomes for individuals with opioid use disorder (OUD) and other substance-related conditions.
Essay
Open Access March 11, 2025

Why High Income Fails to Reduce E-Cigarette Use: The Knowledge-Attitude Paradox in the SMOKES Study

Abstract Background: Electronic cigarette (e-cigarette) use and vaping tobacco have increased rapidly worldwide, raising concerns about their health effects, social acceptability, and regulatory challenges. In many countries, e-cigarettes are more commonly used by individuals from higher socioeconomic status (SES) backgrounds, who, in theory, should have greater knowledge about e-cigarettes and [...] Read more.
Background: Electronic cigarette (e-cigarette) use and vaping tobacco have increased rapidly worldwide, raising concerns about their health effects, social acceptability, and regulatory challenges. In many countries, e-cigarettes are more commonly used by individuals from higher socioeconomic status (SES) backgrounds, who, in theory, should have greater knowledge about e-cigarettes and their associated risks. However, it remains unclear why a group with more knowledge about e-cigarette risks would also hold more positive attitudes toward vaping and exhibit higher usage rates — a phenomenon that may represent a knowledge-behavior paradox. Understanding this paradox, along with the complex relationships between e-cigarette knowledge, attitudes, and behaviors, is critical for informing effective public health interventions, campaigns, social media messaging, and regulatory policies. Objectives: This study aimed to evaluate the complex relationship between SES, e-cigarette knowledge, pro-vaping attitudes, and e-cigarette use. Methods: The SMOKES Study (Study of Measurement of Knowledge and Examination of Support for Tobacco Control Policies) used a multi-center, cross-sectional design, collecting data from 2,403 college and university students across 15 provinces in Iran (covering nearly half of the country's provinces). The survey measured family income, age, sex, ethnicity, e-cigarette use, knowledge, and attitudes. Structural Equation Modeling (SEM) was employed to examine the interrelations between SES, knowledge, attitudes, and behavior, while adjusting for age, sex, and ethnic minority status. Results: SEM analysis confirmed the hypothesized paradox. Although greater knowledge about e-cigarettes was linked to less favorable attitudes toward vaping and lower use, pro-vaping attitudes emerged as the strongest predictor of vaping behavior, while knowledge played a weaker protective role. Notably, individuals with higher SES simultaneously showed higher knowledge and, paradoxically, more pro-e-cigarette attitudes and greater usage. Female students and ethnic minority students reported higher correct knowledge and lower pro-vaping attitudes and use. Although age and higher family income were associated with more favorable attitudes, they did not directly predict vaping behavior. These results suggest that for higher SES individuals, poor knowledge is not the main driver of e-cigarette use; rather, their pro-e-cigarette attitudes, which seem to outweigh the influence of knowledge, play a key role. Conclusions: Although individuals from higher SES backgrounds report greater correct knowledge about e-cigarettes, this knowledge does not necessarily translate into reduced positive attitudes or lower usage. This study highlights the complexity of these paradoxical effects and suggests that public health strategies need to go beyond simple education and knowledge-based interventions. Targeted approaches should address industry messaging, challenge misconceptions, and strengthen regulatory efforts to reduce e-cigarette use among young adults, including those from higher SES backgrounds.
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Open Access March 09, 2025

Place-Based Diminished Returns of Parental Education on Adolescents’ Inhalant Use in Rural Areas

Abstract Background Adolescent substance use is often influenced by socioeconomic and geographical factors. While higher parental education is typically associated with lower substance use, these protective effects may be weaker for marginalized groups facing structural disadvantages that limit the utility and returns of their economic and social resources. Rural areas, characterized by fewer [...] Read more.
Background Adolescent substance use is often influenced by socioeconomic and geographical factors. While higher parental education is typically associated with lower substance use, these protective effects may be weaker for marginalized groups facing structural disadvantages that limit the utility and returns of their economic and social resources. Rural areas, characterized by fewer employment opportunities and limited recreational activities, may contribute to marginalization-related diminished returns (MDRs) of parental education on adolescent substance use, including inhalant use. Objectives This study applies the MDRs framework to examine whether the protective effect of higher parental education on current inhalant use (past 30 days) among 12th-grade American adolescents varies by geographic location. Specifically, we assess whether youth from highly educated families in rural areas are at a disproportionate risk of inhalant use compared to their urban and suburban peers. Methods Using data from the 2024 Monitoring the Future (MTF) study, a nationally representative survey of 12th-grade adolescents in the U.S., we tested main effects and statistical interactions between parental education and residence (rural vs. urban/suburban) in predicting the odds of inhalant use over the past 30 days. Logistic regression models, both with and without interaction terms, were applied to evaluate whether the protective effects of parental education varied by residence location, controlling for relevant demographic and socioeconomic factors. Results Findings indicate a significant interaction between parental education and rural residence. While higher parental education was associated with lower odds of inhalant use in urban and suburban areas, this protective effect was substantially weaker in rural settings. Adolescents from highly educated families in rural areas exhibited a higher-than-expected risk of inhalant use, suggesting that geographic marginalization attenuates the benefits of parental socioeconomic resources. Conclusions These results highlight the role of place-based marginalization in shaping adolescent substance use disparities, demonstrating that MDRs extend beyond race and ethnicity to location-based disadvantages. Rural youths from highly educated families may face unique structural and social challenges that counteract the protective effects of parental education. Public health efforts should consider place-based interventions that address the economic, recreational, and social limitations of rural environments to reduce substance use risk among high-SES adolescents residing in rural areas.
Article
Open Access March 08, 2025

Advancing Preference Learning in AI: Beyond Pairwise Comparisons

Abstract Preference learning plays a crucial role in AI applications, particularly in recommender systems and personalized services. Traditional pairwise comparisons, while foundational, present scalability challenges in large-scale systems. This study explores alternative elicitation methods such as ranking, numerical ratings, and natural language feedback, alongside a novel hybrid framework that [...] Read more.
Preference learning plays a crucial role in AI applications, particularly in recommender systems and personalized services. Traditional pairwise comparisons, while foundational, present scalability challenges in large-scale systems. This study explores alternative elicitation methods such as ranking, numerical ratings, and natural language feedback, alongside a novel hybrid framework that dynamically integrates these approaches. The proposed methods demonstrate improved efficiency, reduced cognitive load, and enhanced accuracy. Results from simulated user studies reveal that hybrid approaches outperform traditional methods, achieving a 40% reduction in user effort while maintaining high predictive accuracy. These findings open pathways for deploying user-centric, scalable preference learning systems in dynamic environments.
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 February 19, 2025

The CEASE Tobacco Cessation Controlled Trial for Low-Income Racial and Ethnic Minority Participants: Key Predictors of Success

Abstract Background: Tobacco use remains disproportionately high among low-income and racial-ethnic minority populations. The CEASE program, with its self-help, hybrid/online, and in-person modalities, has demonstrated efficacy in promoting tobacco cessation. However, predictors of successful cessation among participants in these groups remain unclear. Objective: To identify baseline predictors of successful tobacco cessation among low-income and racial-ethnic minority participants in the CEASE program, with a focus on demographic, socioeconomic, behavioral, and psychosocial factors. Methods: Participants were allocated into three intervention arms: self-help, CEASE hybrid/online, and CEASE in-person. Baseline characteristics, including demographics (e.g., age, gender), socioeconomic status (e.g., education, employment), substance use profiles (e.g., cigarette packs per week, use of other tobacco products, menthol tobacco use), physical health (e.g., general health, number of cardiometabolic risk conditions), mental health (e.g., depressive symptoms, perceived stress), perceived social support, and nicotine dependence, were analyzed as potential predictors of cessation success. Multivariable logistic regression models were used to identify factors associated with successful quitting, controlling for the study arm. Results: In addition to the study arm, gender, baseline depression, cardiometabolic conditions, tobacco flavor, and the use of other tobacco products were significant predictors of quit success. Individuals receiving in-person interventions had significantly higher odds of quitting (AOR = 3.79, p < 0.05). Women were significantly less likely to quit compared to men (AOR = 0.24, p < 0.01). Participants with a greater number of cardiometabolic risk conditions were more likely to quit (AOR = 1.93, p < 0.05), while those with higher levels of depression had lower odds of quitting (AOR = 0.61, p < 0.05). Menthol tobacco users were also less likely to quit (AOR = 0.10, p < 0.05). Interestingly, individuals who used other forms of tobacco in addition to cigarettes had increased odds of quitting (AOR = 2.86, p [...] Read more.
Background: Tobacco use remains disproportionately high among low-income and racial-ethnic minority populations. The CEASE program, with its self-help, hybrid/online, and in-person modalities, has demonstrated efficacy in promoting tobacco cessation. However, predictors of successful cessation among participants in these groups remain unclear. Objective: To identify baseline predictors of successful tobacco cessation among low-income and racial-ethnic minority participants in the CEASE program, with a focus on demographic, socioeconomic, behavioral, and psychosocial factors. Methods: Participants were allocated into three intervention arms: self-help, CEASE hybrid/online, and CEASE in-person. Baseline characteristics, including demographics (e.g., age, gender), socioeconomic status (e.g., education, employment), substance use profiles (e.g., cigarette packs per week, use of other tobacco products, menthol tobacco use), physical health (e.g., general health, number of cardiometabolic risk conditions), mental health (e.g., depressive symptoms, perceived stress), perceived social support, and nicotine dependence, were analyzed as potential predictors of cessation success. Multivariable logistic regression models were used to identify factors associated with successful quitting, controlling for the study arm. Results: In addition to the study arm, gender, baseline depression, cardiometabolic conditions, tobacco flavor, and the use of other tobacco products were significant predictors of quit success. Individuals receiving in-person interventions had significantly higher odds of quitting (AOR = 3.79, p < 0.05). Women were significantly less likely to quit compared to men (AOR = 0.24, p < 0.01). Participants with a greater number of cardiometabolic risk conditions were more likely to quit (AOR = 1.93, p < 0.05), while those with higher levels of depression had lower odds of quitting (AOR = 0.61, p < 0.05). Menthol tobacco users were also less likely to quit (AOR = 0.10, p < 0.05). Interestingly, individuals who used other forms of tobacco in addition to cigarettes had increased odds of quitting (AOR = 2.86, p < 0.05). No other factors, including demographic variables (e.g., age), socioeconomic status (e.g., education, marital status), substance use profiles (e.g., cigarette packs per week, NRT use), or nicotine dependence, were significant predictors of cessation success. Conclusion: Baseline self-reported anxiety/depression and depressive symptoms play a critical role in reducing the likelihood of successful tobacco cessation among low-income and racial-ethnic minority participants in the CEASE program. These findings underscore the importance of addressing mental health challenges as part of tobacco cessation interventions to enhance their efficacy. Future research should explore targeted strategies for integrating mental health support into cessation programs to improve outcomes for underserved populations.
Article
Open Access January 16, 2025

Heat Exposure Predicts Earlier Childhood Pubertal Initiation, Behavioral Problems, and Tobacco Use

Abstract Background: Climate change has raised significant concerns about its impact on health, particularly for vulnerable populations such as children and adolescents. While extensive research has examined physical health effects, limited attention has been given to the influence of extreme heat on developmental and behavioral outcomes. Objectives: This study investigates the association [...] Read more.
Background: Climate change has raised significant concerns about its impact on health, particularly for vulnerable populations such as children and adolescents. While extensive research has examined physical health effects, limited attention has been given to the influence of extreme heat on developmental and behavioral outcomes. Objectives: This study investigates the association between extreme heat exposure and early puberty initiation (ages 9-10), using data from the Adolescent Brain Cognitive Development (ABCD) study. It further explores how early puberty correlates with behavioral problems and tobacco use initiation. Methods: Data from 11,878 participants in the ABCD study were analyzed to examine the relationship between extreme heat exposure (independent variable) and puberty initiation (outcome). Behavioral problems and tobacco use initiation were evaluated as downstream outcomes of early puberty. Covariates included age, sex, and race/ethnicity, and behavioral problems were assessed using the Child Behavior Checklist (CBCL). Structural equation modeling (SEM) was employed for analysis. Results: Extreme heat exposure was significantly associated with earlier puberty initiation at ages 9-10. Early puberty, in turn, correlated with higher levels of behavioral problems and an increased likelihood of tobacco use initiation. Conclusions: These findings underscore the importance of addressing environmental factors such as extreme heat to reduce risks associated with early maturation, including behavioral and substance use challenges. Targeted interventions and policies are needed to mitigate the impact of extreme heat on child development, and longitudinal studies are essential to confirm these results and inform effective prevention strategies.
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Article
Open Access January 15, 2025

Too Much Heat May Make You Smoke

Abstract Background: The rising concerns surrounding climate change have drawn attention to its potential impact on health, particularly among vulnerable groups such as children and older adults. Despite extensive research on health consequences, limited studies have explored the connection between extreme heat exposure and tobacco use initiation among adolescents in the United States. [...] Read more.
Background: The rising concerns surrounding climate change have drawn attention to its potential impact on health, particularly among vulnerable groups such as children and older adults. Despite extensive research on health consequences, limited studies have explored the connection between extreme heat exposure and tobacco use initiation among adolescents in the United States. Objectives: This study examines the relationship between extreme heat exposure and the initiation of tobacco use in adolescents, using data from the Adolescent Brain Cognitive Development (ABCD) study. It also evaluates the mediating roles of major depressive disorder (MDD) and childhood behavioral problems. Methods: Data from 11,878 participants in the ABCD study were analyzed to explore the link between extreme heat exposure (independent variable) and tobacco use initiation (dependent variable). Covariates included age, sex, and race/ethnicity, while MDD and behavioral problems (measured using the Child Behavior Checklist, CBCL) were assessed as potential mediators. Structural equation modeling (SEM) was applied for analysis. Results: The findings indicated a significant association between extreme heat exposure and an increased likelihood of tobacco use initiation in adolescents aged 9 to 15. MDD and behavioral problems partially mediated this relationship. Conclusions: These results underscore the importance of targeted interventions aimed at mitigating the impact of extreme heat on adolescent health, including its influence on tobacco use initiation. Addressing mental health and behavioral challenges could help reduce these risks. Future longitudinal research is needed to confirm these findings and evaluate the efficacy of strategies to protect vulnerable youth populations.
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Article
Open Access January 09, 2025

Advances in the Synthesis and Optimization of Pharmaceutical APIs: Trends and Techniques

Abstract The synthesis and optimization of Active Pharmaceutical Ingredients (APIs) is fundamental to pharmaceutical drug development, directly influencing drug efficacy, safety, and cost-effectiveness. Over recent years, significant advancements in synthetic methodologies and manufacturing technologies have transformed API production. This manuscript provides an overview of the latest innovations in API [...] Read more.
The synthesis and optimization of Active Pharmaceutical Ingredients (APIs) is fundamental to pharmaceutical drug development, directly influencing drug efficacy, safety, and cost-effectiveness. Over recent years, significant advancements in synthetic methodologies and manufacturing technologies have transformed API production. This manuscript provides an overview of the latest innovations in API synthesis, focusing on key techniques such as green chemistry, continuous flow chemistry, biocatalysis, and automation. Green chemistry principles, including solvent substitution and catalytic reactions, have enhanced sustainability by reducing waste and energy consumption. Continuous flow chemistry offers improved reaction control, scalability, and safety, while biocatalysis provides an eco-friendly alternative for synthesizing complex and chiral APIs. Additionally, the integration of automation and advanced process control using machine learning and real-time monitoring has optimized production efficiency and consistency. The manuscript also discusses the challenges associated with regulatory compliance and quality assurance, highlighting the role of advanced analytical techniques such as HPLC, NMR, and mass spectrometry in ensuring API purity. Looking ahead, personalized medicine and smart manufacturing technologies, including blockchain for traceability, are expected to drive further innovation in API production. This review concludes by emphasizing the need for continued advancements in sustainability, efficiency, and scalability to meet the evolving demands of the pharmaceutical industry, ultimately enabling the development of safer, more effective, and environmentally responsible medicines.
Review Article
Open Access November 21, 2024

Unequal Returns: Education Fails to Fully Prepare Black and Latino Americans for Retirement

Abstract Background: Retirement is a universal life stage, marking the culmination of an individual's working years. However, many people face financial challenges during retirement due to insufficient financial planning. Retirement preparedness is essential for ensuring economic security and maintaining a high quality of life in later years. Education is often viewed as a key driver of retirement [...] Read more.
Background: Retirement is a universal life stage, marking the culmination of an individual's working years. However, many people face financial challenges during retirement due to insufficient financial planning. Retirement preparedness is essential for ensuring economic security and maintaining a high quality of life in later years. Education is often viewed as a key driver of retirement preparedness, as it is linked to higher earnings, better financial literacy, and improved decision-making. However, the Minorities' Diminished Returns (MDRs) theory suggests that the economic, cognitive, and behavioral benefits of education are weaker for racial and ethnic minorities compared to non-Latino Whites. Objective: This study aims to examine the relationship between educational attainment and retirement preparedness, focusing on whether this association differs among Black, Latino, and non-Latino White individuals, using data from the Understanding America Study (UAS). Methods: Data were drawn from the UAS, a nationally representative internet-based panel survey. The sample included participants from diverse racial and ethnic backgrounds. Linear regression models were used to evaluate the association between educational attainment, measured in years of schooling, and retirement preparedness. Interaction terms were included to test whether the association varied by race and ethnicity. Models were adjusted for potential confounders, including age, sex, marital status, employment status, and immigration. Results: In the overall sample, higher educational attainment was significantly and positively associated with better retirement preparedness (p < 0.001). However, consistent with the MDRs framework, the strength of this association was significantly weaker for Black and Latino participants compared to non-Latino White participants (p < 0.05). Non-Latino Whites with higher education levels reported substantially better retirement preparedness, while the same level of education yielded smaller gains in retirement preparedness for Black and Latino individuals. Conclusion: The findings support the Minorities' Diminished Returns theory, showing that although educational attainment enhances retirement preparedness for all groups, Black and Latino individuals derive fewer benefits compared to their non-Latino White counterparts. These disparities point to persistent structural inequalities and systemic barriers within the education system and labor market, as well as the effects of segregation and discrimination, which undermine the economic benefits of education for marginalized populations. Addressing these disparities requires targeted policy interventions aimed at eliminating racial and ethnic inequalities in retirement outcomes and ensuring equitable benefits from educational attainment for all groups.
Article
Open Access November 19, 2024

High Education, Low Returns: Financial Literacy Challenges for African Americans and Hispanics

Abstract Background: Education is widely regarded as a key driver of financial literacy, yet racial and ethnic disparities persist. Even among highly educated individuals, African American and Hispanic populations may face challenges in financial literacy, likely due to structural racism and socioeconomic inequalities that diminish the benefits of education. This study examines the relationship [...] Read more.
Background: Education is widely regarded as a key driver of financial literacy, yet racial and ethnic disparities persist. Even among highly educated individuals, African American and Hispanic populations may face challenges in financial literacy, likely due to structural racism and socioeconomic inequalities that diminish the benefits of education. This study examines the relationship between education and financial literacy among African American and Hispanic individuals compared to their White counterparts, focusing on how structural factors contribute to these disparities. Objective: To determine whether highly educated African American and Hispanic individuals exhibit lower financial literacy compared to similarly educated White individuals and to explore the role of structural factors in explaining these disparities. Methods: Data from the 2016 Understanding America Study (UAS) were used to evaluate financial literacy among U.S. adults. The sample was stratified by race/ethnicity (African American, Hispanic, and White) and educational attainment. Financial literacy was assessed using standardized financial knowledge tests. Multivariate regression models were employed to investigate the relationship between race/ethnicity, education, and financial literacy, adjusting for socioeconomic factors such as income, employment, and household wealth. Results: African American and Hispanic individuals with higher levels of education demonstrated significantly lower financial literacy scores than their White peers (p < 0.001). The positive association between education and financial literacy was notably stronger for White individuals than for African American and Hispanic individuals. Further analyses suggest that structural barriers, including systemic discrimination in access to financial resources and disparities in educational quality, contribute to these diminished returns on education for racial and ethnic minorities. Conclusion: This study highlights persistent financial literacy disparities among highly educated African American and Hispanic individuals, underscoring the limitations of education alone in overcoming structural inequalities. The findings emphasize the need for targeted policies to address systemic barriers that restrict the financial knowledge and opportunities typically associated with higher education for racial and ethnic minority groups.
Article
Open Access November 18, 2024

Technological Caring Competence for Nursing Education (TCCNE) in Filipino Nurse Educators: Toward the Development of Basis for a Training Plan

Abstract Background: Nowadays, integrating online and remote instruction into education presents unique challenges, particularly in nursing education, where combining technology with the core value of caring is essential. Nurse educators must address students’ holistic needs, as their circumstances can influence overall learning development. Objectives: This study aims to ascertain the [...] Read more.
Background: Nowadays, integrating online and remote instruction into education presents unique challenges, particularly in nursing education, where combining technology with the core value of caring is essential. Nurse educators must address students’ holistic needs, as their circumstances can influence overall learning development. Objectives: This study aims to ascertain the technological caring competence of nurse educators Methodology: A descriptive design using an adapted tool on technological caring competence for nursing education (TCCNE) Results: A total of 243 Filipino nursing educators participated in this study. Overall, the participants’ perceived level of TCCNE was quite high. This sample representative of nursing educators holds strong perceptions of their TCCNE with the values of being considerate, supportive, and respectful to their students as the highest rated competency. This result implies that the educators keep the essence of what nursing is about as they model the importance of caring even in an academic setting considering that these teachers are using remote instruction. Conclusion: The study opens up a discussion on assessing the TCCNE of nursing education in an academic setting. Thus, its advocacy could start from implementing the research training plan. Further, the nurse educators should strengthen in balancing care with appropriate technology is viewed as a necessary step to maintain the essence of nursing, which is on caring that can be modeled out not just in clinical practice alone, but in nursing education.
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 November 01, 2024

Impacts of Drug Shortages in the Pharmaceutical Supply Chain

Abstract Drug shortages represent a significant and growing challenge within the pharmaceutical supply chain, with profound implications for patient care, public health, and healthcare costs. This manuscript provides a comprehensive examination of the causes and impacts of drug shortages, highlighting the multifaceted nature of this issue. Key factors contributing to shortages include manufacturing [...] Read more.
Drug shortages represent a significant and growing challenge within the pharmaceutical supply chain, with profound implications for patient care, public health, and healthcare costs. This manuscript provides a comprehensive examination of the causes and impacts of drug shortages, highlighting the multifaceted nature of this issue. Key factors contributing to shortages include manufacturing complications, limited availability of active pharmaceutical ingredients (APIs), market dynamics that discourage the production of less profitable medications, and regulatory challenges that slow down the approval process for new manufacturing capacities. The consequences of these shortages are far-reaching. Patients often face treatment delays, which can lead to adverse health outcomes, increased hospitalization rates, and even mortality. Healthcare providers experience heightened operational costs as they seek alternative therapies and manage complications resulting from inadequate treatment. Furthermore, the frequent occurrence of drug shortages erodes public trust in both the healthcare system and the pharmaceutical industry, leading to decreased patient adherence to prescribed therapies. To mitigate the impacts of drug shortages, this manuscript proposes several strategic solutions, including enhanced communication among stakeholders, diversification of supply sources, increased regulatory flexibility, and collaborative approaches between public and private sectors. Additionally, raising awareness among healthcare providers and patients regarding the causes and potential alternatives can empower stakeholders to navigate shortages effectively. Ultimately, addressing drug shortages necessitates a proactive and coordinated effort from all participants in the pharmaceutical supply chain. By implementing these strategies, stakeholders can enhance the resilience of the supply chain, ensuring that essential medications remain accessible and that patient care is not compromised. The findings of this manuscript underscore the urgent need for ongoing vigilance and collaborative action to tackle the challenges posed by drug shortages, safeguarding public health and improving healthcare outcomes globally.
Review Article
Open Access October 26, 2024

Exploring the Relationship between Teacher Training and Challenges in Delivering Effective Sex Education

Abstract This study aimed to explore the relationship between teacher training and challenges in delivering effective sex education in the Sagnarigu district in the Northern region of Ghana. The Social-cultural theory underpins the study. A descriptive survey research design was adopted for the study. The population of this study comprises teachers, head teachers and a School Improvement Support Officer [...] Read more.
This study aimed to explore the relationship between teacher training and challenges in delivering effective sex education in the Sagnarigu district in the Northern region of Ghana. The Social-cultural theory underpins the study. A descriptive survey research design was adopted for the study. The population of this study comprises teachers, head teachers and a School Improvement Support Officer (SiSo) in basic schools in the Gumani/Nyanshegu circuit in the Sagnarigu district of the Northern Region. This study adopted multi-sampling methods to select respondents. Random and purposive sampling techniques were used to select the study's 10 basic schools and 83 respondents. The main tools used for the data collection were the questionnaire and interview. The data was analysed using Statistical Package for Social Scientists (SPSS) software version 23 tools. Descriptive Statistical tools such as frequencies were used to gauge the number of occurrences of the studied variables. The qualitative data was also further analysed in line with the research questions to establish patterns of similarities and variations. These were then validated with the quantitative data for any possible contradictions in the findings. The study concludes that people's socio-cultural and religious beliefs and practices affect the teaching of sex education in school. It was observed that sex education could be misconstrued as an encouragement to young people to engage in early sexual promiscuity. Finally, the study concludes that there cannot be effective sex education without the appropriate logistics such as T.L.M.s, syllabus and time allocation for the subject. The study also acknowledges that the availability of these materials must go along with appropriate capacity building for teachers to be well-positioned to teach the subject. It is recommended that Sexuality education should be included in the curricular and academic calendar of basic schools, along with the provision of adequate T.L.M.s and the proper collaboration with appropriate agencies for the effective teaching of the subject. Sex education needs to be given maximum attention, just as any of the life skills subjects, with adequate investment and motivation to both teachers and pupils to ensure a meaningful impact. There should be regular monitoring, supervision, and assessment of the training of teachers and its influence on the teaching of the subject, as well as ensuring that ethical considerations regarding cultural and religious sensitivities and individual privacy issues are upheld.
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Article
Open Access October 19, 2024

Quantitative Intersectionality Scoring System (QISS): Opportunities for Enhancing Predictive Modeling, Comparative Analysis, Health Needs Assessment, and Policy Evaluation

Abstract Intersectionality has significantly enhanced our understanding of how overlapping social identities—such as race, ethnicity, gender, sex, class, and sexual orientation—interact to shape individual experiences. However, despite its theoretical importance, much of the existing literature has relied on qualitative approaches to define and study intersectionality, limiting its application in [...] Read more.
Intersectionality has significantly enhanced our understanding of how overlapping social identities—such as race, ethnicity, gender, sex, class, and sexual orientation—interact to shape individual experiences. However, despite its theoretical importance, much of the existing literature has relied on qualitative approaches to define and study intersectionality, limiting its application in predictive modeling, comparative analysis, and policy development. This paper introduces the concept of Quantitative Intersectionality Scoring System (QISS), a novel approach that assigns numerical scores to intersecting identities, thereby enabling a more systematic and data-driven analysis of intersectional effects. We argue that QISS can substantially enhance the utility and predictive validity of quantitative models by capturing the complexities of multiple, overlapping social determinants. By presenting concrete examples, such as the varying impacts of socioeconomic mobility on life expectancy among different intersectional groups, we demonstrate how QISS can yield more precise and reliable forecasts. Such a shift would allow policymakers and service providers to dynamically assess economic and health needs, as well as the uncertainties around them, as individuals move through different social and economic contexts. QISS-based models could be more responsive to the complexities of intersecting identities, allowing for a more quantified and nuanced evaluation of policy interventions. We conclude by discussing the challenges of implementing QISS and emphasizing the need for further research to validate these quantifications using robust quantitative methods. Ultimately, adopting QISS has the potential to improve the accuracy of predictive models and the effectiveness of policies aimed at promoting social justice and health equity.
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Perspective
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 04, 2024

Social Epidemiology of Early Initiation of Electronic and Conventional Cigarette Use in Early to Middle Adolescents

Abstract Background: Early initiation of tobacco use among adolescents is a significant public health concern. While there is extensive research on overall tobacco use, much of it focuses on initiation in late adolescence, uses cross-sectional designs, and lacks specific exploration of electronic versus conventional cigarette use. This study aims to investigate social determinants influencing the [...] Read more.
Background: Early initiation of tobacco use among adolescents is a significant public health concern. While there is extensive research on overall tobacco use, much of it focuses on initiation in late adolescence, uses cross-sectional designs, and lacks specific exploration of electronic versus conventional cigarette use. This study aims to investigate social determinants influencing the early initiation of electronic and conventional cigarette use among U.S. adolescents. Methods: We utilized data from the Adolescent Brain Cognitive Development (ABCD) study, which follows a cohort of tobacco-naïve children from age nine through age 16. The social determinants examined included household income, parental education, financial difficulties, racial/ethnic minority status, family structure, neighborhood income, and gender minority status. Structural equation models were employed to assess associations between these determinants and early initiation of electronic and conventional cigarette use. Results: Male gender was associated with a higher likelihood of conventional cigarette use, while the risk of early initiation of electronic cigarette use was similar across genders. White adolescents were at a higher risk of conventional cigarette use; however, the risk for electronic cigarette use was comparable across White and non-White groups. Financial difficulties were linked to an increased likelihood of early initiation of conventional cigarette use but not electronic cigarette use. Higher household income was associated with a reduced risk of initiating conventional cigarettes but did not significantly impact electronic cigarette use. Adolescents from married families were less likely to initiate electronic cigarette use. No significant effects were found for parental education or neighborhood income on the initiation of either type of cigarette use. Age did not significantly affect the initiation of either cigarette type, and gender minority status was marginally associated with early initiation of conventional cigarette use. Conclusions: The social patterning of electronic cigarette use differs from that of conventional cigarette use, suggesting that distinct tobacco products do not pose a uniform risk across all adolescents. This study underscores the importance of tailored prevention efforts that address the unique challenges associated with early initiation of electronic and conventional cigarette use among adolescents. The differential risk factors identified suggest targeted prevention strategies for conventional cigarette use, focusing on financial difficulties, household income, and gender-specific interventions. In contrast, prevention efforts for electronic cigarette use may require broader, more inclusive approaches that address all adolescents, regardless of their background. Comprehensive universal screening for electronic cigarette use and targeted screening for conventional cigarette use among adolescents are recommended.
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Article
Open Access August 27, 2024

Role of Impulsivity in Explaining Social Gradient in Youth Tobacco Use Initiation: Does Race Matter?

Abstract Background: Socioeconomic status (SES) is traditionally viewed as a protective factor against impulsivity and subsequent tobacco use in youth. The prevailing model suggests that higher SES is associated with lower impulsivity, which in turn reduces the likelihood of future tobacco use. However, this pathway may not hold uniformly across racial groups due to differences in impulsivity and [...] Read more.
Background: Socioeconomic status (SES) is traditionally viewed as a protective factor against impulsivity and subsequent tobacco use in youth. The prevailing model suggests that higher SES is associated with lower impulsivity, which in turn reduces the likelihood of future tobacco use. However, this pathway may not hold uniformly across racial groups due to differences in impulsivity and the phenomenon of Minorities' Diminished Returns (MDRs), where the protective effects of SES, such as educational attainment, tend to be weaker or even reversed for Black youth compared to their White counterparts. Objectives: This study aims to examine the racial heterogeneity in the pathway from childhood SES to impulsivity and subsequent tobacco use initiation during adolescence, focusing on differences between Black and White youth. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) Study, which includes a diverse sample of youth aged 9 to 16 years. The analysis examined the relationship between baseline family SES (age 9), impulsivity (age 9), and subsequent tobacco use (ages 9 to 16). Impulsivity was measured using the Urgency, Premeditation (lack of), Perseverance (lack of), Sensation Seeking, and Positive Urgency Impulsive Behavior Scale (UPPS-P). Structural equation modeling (SEM) was employed, with analyses stratified by race to explore potential differences in these associations. Results: Overall, 6,161 non-Latino White and 1,775 non-Latino Black adolescents entered our analysis. In the full sample, higher family SES was linked to lower childhood impulsivity and, consequently, less tobacco uses in adolescence. However, racial differences emerged upon stratification. Among White youth, higher SES was associated with lower impulsivity, leading to reduced tobacco use, consistent with the expected model. In contrast, among Black youth, higher SES was not associated with lower impulsivity, thereby disrupting the protective effect of SES on tobacco use through this pathway. These findings suggest that racial heterogeneity exists in the SES-impulsivity-tobacco use pathway, aligning with the MDRs framework, which highlights how structural factors may weaken the protective effects of high SES among Black youth. Conclusions: These findings underscore the importance of considering racial heterogeneity in the relationships between SES, impulsivity, and tobacco use. The observed disparities suggest a need for targeted interventions that address the unique challenges faced by Black youth, who may not experience the same protective benefits of high SES as their White peers. These results carry significant implications for public health strategies aimed at reducing tobacco use in racially diverse populations.
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Article
Open Access August 14, 2024

Handing Money to the Poor Is Never Enough: The Impact of Marginalization-Related Diminished Returns

Abstract Recent US studies such as Baby’s First Years have again demonstrated that unconditional cash transfers and guaranteed income do not lead to significant improvements in the health, economic status, and well-being of individuals living in poverty. In this perspective article we review the emerging literature on this topic and offer explanations for the observed outcomes. We then apply the theory and [...] Read more.
Recent US studies such as Baby’s First Years have again demonstrated that unconditional cash transfers and guaranteed income do not lead to significant improvements in the health, economic status, and well-being of individuals living in poverty. In this perspective article we review the emerging literature on this topic and offer explanations for the observed outcomes. We then apply the theory and empirical evidence on marginalization-related diminished returns (MDRs) also called minorities diminished returns (MDRs) to elucidate the weak or null effects of cash transfers in the lives of marginalized populations. According to the MDR theory, marginalization not only reduces access to resources but also reduces their utility. Individuals who experience long-term poverty and marginalization exhibit smaller than expected benefits from new resources, such as cash, in adulthood. This is due to the deeply entrenched structural barriers and systemic discrimination that persist throughout their lives. The existing literature suggests that socioeconomic changes in adulthood have limited impact on the health and well-being of populations that have been raised in poverty. This is because the advantages of increased socioeconomic status (SES) are often undermined by ongoing marginalization and limited access to supportive resources and opportunities. As a result, simply providing cash transfers is insufficient to create substantial and lasting improvements in the lives of those living in poverty. To address these challenges, we recommend a multifaceted approach that includes childhood poverty prevention, interventions aimed at reducing marginalization, and comprehensive multi-sector strategies. By focusing on early intervention and addressing the root causes of poverty and marginalization, we can create more effective and sustainable solutions to improve health and well-being among disadvantaged populations. This holistic approach recognizes the complexity of poverty and the necessity of addressing both immediate needs and long-term structural barriers to achieve meaningful change.
Perspective
Open Access August 09, 2024

A Hybrid Based Recommender System for Enhancing Data Availability on Crop Market

Abstract Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are [...] Read more.
Smallholder farmers face challenges when they lack information on their agricultural activities. To address this, we suggest a web-based system that can be used by farmers to help them in decision making considering the fact that all necessary information is provided by the system. Farmers can input crop type they want to grow and area. This data will help to recommend them the best crops that are suitable to be grown in that area and the necessary growing practices that can be done to produce high yield and have maximum profits, considering the average rainfall of that year. A persistent issue we face in Zimbabwe is the lack of access to reliable agricultural data. In the agricultural sector, one major uncertainty for farmers is the outlook of their future harvest. Once their produce is ready for sale, the presence of other potential buyers compels traders to offer prices that align closely with those in the formal market. However, without timely information, traders can take advantage of the situation by purchasing crops at unfairly low rates. Having data that tracks prices across various markets in near real-time would enable farmers to have a precise and complete understanding of their selling choices to maximize their profits.
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Article
Open Access August 08, 2024

Challenges and Strategies: Usage of Multimedia Resources in Teaching Social Studies Concepts in the Junior High Schools of Ghana

Abstract Access to and the availability of digital infrastructure remains the most significant issue influencing teachers' use of multimedia technology in teaching and learning processes. Qualitatively, the study focused on a case study research design. The study population consisted of five (5) Social Studies teachers at Presbyterian University College of Education Demonstration Junior High School in the [...] Read more.
Access to and the availability of digital infrastructure remains the most significant issue influencing teachers' use of multimedia technology in teaching and learning processes. Qualitatively, the study focused on a case study research design. The study population consisted of five (5) Social Studies teachers at Presbyterian University College of Education Demonstration Junior High School in the Akuapem North Municipality of the Eastern Region of Ghana. A purposive sampling technique was used to select all the Social Studies teachers for the study. The main instruments for data collection were an interview guide and observation protocols. The data was analysed using the interpretative method based on the themes arrived at during the data collection. The themes were related to the research question and interpreted on the number of issues raised by participants. The study indicated that more resources are needed to use multimedia resources effectively in social studies instruction. Limited access to computers and the internet, unreliable power supply, time constraints for teachers, and a lack of necessary competencies all contribute to this challenge. Although multimedia has become crucial to education, teachers often need more training to utilise these resources fully. The government must collaborate with other organisations to procure ICT resources to address these challenges rather than shouldering the sole responsibility for financing education. Establishing a school-based ICT policy framework to guide technology implementation in teaching and learning is essential.
Review 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 21, 2024

Securing Pharmaceutical Supply chain to Combat Active Pharmaceutical Ingredient Counterfeiting

Abstract Pharmaceutical Product serialization aims to assign distinct serial numbers to items within a pharmaceutical supply chain. However, this process faces several security challenges like Theft of valid serial numbers may occur, enabling the labelling of counterfeit products. Therefore, it's essential to ensure the uniqueness of serial numbers can be verified at any point in the product's lifecycle [...] Read more.
Pharmaceutical Product serialization aims to assign distinct serial numbers to items within a pharmaceutical supply chain. However, this process faces several security challenges like Theft of valid serial numbers may occur, enabling the labelling of counterfeit products. Therefore, it's essential to ensure the uniqueness of serial numbers can be verified at any point in the product's lifecycle within the supply chain. Intimidatory nodes along the distribution network could corrupt planned changes of custody for products. Ensuring verifiability of compliance with these changes is crucial. Manufacturers and consumers need assurance that perishable goods with expired shelf lives are appropriately discarded. In this paper, we review a product serialization method leveraging blockchain technology to address these security concerns within a multi-party perishable goods supply chain. Blockchains offer potential solutions by providing a secure platform for data sharing in multi-party environments, enhancing security and transparency. Within Blockchain technology, each distribution partner is registered to uphold transparency regarding drug information. The system facilitates real-time transfer of ownership changes, recording them as blocks with date and time stamps. This ensures visibility to all partners in real time, maintaining the authenticity of drugs. This article aims to outline how Blockchain technology benefits the pharmaceutical industry by enhancing traceability and trackability of drugs throughout the entire pharmaceutical supply chain.
Review Article
Open Access July 16, 2024

A Different Lens: Insights of Non-Nursing Students in Nursing Education

Abstract Background: In the landscape of education, the decision-making process that leads students to pursue or reject nursing as a career is a multifaceted phenomenon shaped by a plethora of influences ranging from personal experiences to societal norms. Aim: To explore non-nursing students' insights on nursing education, seeking to shed light on the considerations and challenges that [...] Read more.
Background: In the landscape of education, the decision-making process that leads students to pursue or reject nursing as a career is a multifaceted phenomenon shaped by a plethora of influences ranging from personal experiences to societal norms. Aim: To explore non-nursing students' insights on nursing education, seeking to shed light on the considerations and challenges that influence their views on nursing education. Materials & Methods: A qualitative approach using thematic analysis were utilized. Lincoln and Guba's framework for rigor and trustworthiness directed the validation process. Semi-structured interviews based on vetted questionnaires yielded the data. Results: Analysis of interviews with ten (10) non-nursing college students revealed three key themes: 1) initial insights, 2) factors influencing their insights, and 3) difficulty of nursing education. Non-nursing students view nursing education as multifaceted and rigorous, recognizing the profession's complexity but have reservations about the heavy workload, intense clinical demands, and health risks, particularly highlighted by the pandemic, which contributes to their reluctance to choose nursing as a career path. Implications: Addressing perceptions, enhancing curricula, offering mentorship, and providing emotional support, nursing education can be improved, steering more students towards a career in nursing. Conclusion: Non-nursing students respect the complexity of the nursing profession but are deterred by its demands and risks, indicating a need for educational reforms to better convey the role, value, and opportunities within nursing to encourage more students into the field.
Article
Open Access July 10, 2024

Achieving Maintainability, Readability & Understandability of Software Projects using Code Smell Prediction

Abstract Maintenance of large-scale software is difficult due to large size and high complexity of code.80% of software development is on maintenance and the other 60% is on trying to understand the code. The severity of the code smells must be measured as well as fairness on it because it will help the developers especially in large scale source code projects. Code smell is not a bug in the system as it [...] Read more.
Maintenance of large-scale software is difficult due to large size and high complexity of code.80% of software development is on maintenance and the other 60% is on trying to understand the code. The severity of the code smells must be measured as well as fairness on it because it will help the developers especially in large scale source code projects. Code smell is not a bug in the system as it doesn’t prevent the program from functioning but it may increase the risk of software failure or performance slowdown. Therefore, this paper seeks to help developers with early prediction of severity of code smells and test the level of fairness on the predictions especially in large scale source code projects. Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the codebases of the software’s are increasingly growing that is the size of the modules, functionalities, the size of the classes etc. Since data is growing so rapidly it also mean the codebases of software’s or code are also growing as well. Therefore, this paper seeks to discuss the 5V’s of big data in the context of software code and how to optimize or manage the big code. When we talk of "Big Code for Big Software's," we are referring to the specific challenges and considerations involved in developing, managing, and maintaining of code in large-scale software systems.
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Technical Note
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 05, 2024

Challenges facing the Church in dealing with Moral Issues in Ghana: the way forward

Abstract The purpose of this study was to examine challenges facing the Church in dealing with Moral Issues and the way forward in Ghana. Qualitatively, the study sought to examine the Church's challenges in coping with Moral Issues and the way forward in Ghana. The study adopted a case study research design. The population of the study comprised leaders of Calvary Baptist Church – Adabraka and Shiashe. [...] Read more.
The purpose of this study was to examine challenges facing the Church in dealing with Moral Issues and the way forward in Ghana. Qualitatively, the study sought to examine the Church's challenges in coping with Moral Issues and the way forward in Ghana. The study adopted a case study research design. The population of the study comprised leaders of Calvary Baptist Church – Adabraka and Shiashe. These include the Vice President of the Ghana Baptist Convention and departmental heads at the Ghana Baptist Convention headquarters. Others included the Senior Pastor of Calvary Baptist Church – Adabraka with its satellite mission at Shiashe as well as a cross-section of pastors of these churches; the church administrator; the past and present directors of Baptist Relief and Development Agency (BREDA). The purposive sampling technique was specifically used to locate respondents for the study. The churches and participants were chosen because of their efforts in dealing with the causes of immorality confronting Ghanaian society. The main tool for data collection was a semi-structured interview guide. The data gathered was organised and analysed manually using emerging themes. The study revealed that the challenges which the Baptist Church encounters in its effort to deal with moral issues are the politicisation of statements made by the clergy, and inadequate trained personnel who are willing and ready to champion the agenda of the church in that respect. Financial difficulties were also mentioned. In this regard, specific reference was made to the effort made by the Ghana Baptist Convention to free the Trokosi girls. It was indicated that it takes a lot of financial resources to train and settle the freed girls. Regarding the way forward as far as these challenges were concerned, it was suggested that the church ought to speak more and do what it is mandated by Christ to do to bring about transformation. It is recommended that Churches should seriously intensify education on what constitutes human rights and freedom so that there would be a clear understanding of the concept that enables people to think through and adopt the good aspects to enhance their circumstances. Human rights defenders should exercise restraints when it comes to practices which are alien to Ghanaian values, laws and religious faith.
Review Article
Open Access May 01, 2024

Challenges Affecting the Teaching and Learning of Social Studies in the Colleges of Education in Ghana

Abstract The purpose of this study was to examine the challenges affecting the teaching and learning of Social Studies in the Colleges of Education in the Ashanti Region. Qualitatively, the study adopted a case study research design. The population of the study comprised fifteen (15) Social Studies teachers in the Ashanti region of Ghana. A purposive sampling technique was used to select the colleges and [...] Read more.
The purpose of this study was to examine the challenges affecting the teaching and learning of Social Studies in the Colleges of Education in the Ashanti Region. Qualitatively, the study adopted a case study research design. The population of the study comprised fifteen (15) Social Studies teachers in the Ashanti region of Ghana. A purposive sampling technique was used to select the colleges and Social Studies teachers. The main instrument for data collection was an unstructured open-ended interview guide. Four criteria proposed by Lincoln and Guba in 1985 used to measure the trustworthiness of data collected are credibility, transferability, dependability and confirmability. Data obtained from the study were subjected to thematic analysis using themes developed from the data collected based on the research question. The findings of this study indicate that adequate textbooks, availability of teaching and learning materials such as projectors, the ability of tutors to engage in research, and the ability to vary teaching techniques are some factors that affect the teaching and learning of Social Studies in Colleges of Education. Students can remember a greater percentage of what was taught when techniques used by teachers are in their interest. It is recommended that T-TEL and Universities to which Colleges of Education are affiliated should continue to provide seminars and sessions to tutors in areas of material, resource development and research. This will continue to ensure that tutors are competent in their field of specialization. It is also recommended that the government should conduct a nationwide programme evaluation exercise on Social Studies to identify the loopholes needed to ensure the effectiveness of the subject.
Review Article
Open Access April 29, 2024

Digital Forensic Investigation Standards in Cloud Computing

Abstract Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research [...] Read more.
Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research philosophy integrating positivist and interpretivist paradigms guides an exploratory sequential mixed methods design. Qualitative methods, including case studies, expert interviews, and document analysis were used to explore key variables and themes. Findings inform hypotheses and survey instrument development for the subsequent quantitative phase involving structured surveys with digital forensics professionals, cloud providers, and law enforcement agencies, across the globe. The multi-method approach employs purposive and stratified random sampling techniques, targeting a sample of 100-150 participants, across the globe, for qualitative components and 300-500 for quantitative surveys. Qualitative data went through thematic and content analysis, while quantitative data were analysed using descriptive and inferential statistical methods facilitated by software such as SPSS and R. An integrated mixed methods analysis synthesizes and triangulates findings, enhancing validity, reliability, and comprehensiveness. Strict ethical protocols safeguard participant confidentiality and data privacy throughout the research process. This robust methodology contributed to the development of improved frameworks, guidelines, and best practices for digital forensics investigations in cloud computing, addressing legal and jurisdictional complexities in this rapidly evolving domain.
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Article
Open Access April 11, 2024

5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects

Abstract Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the [...] Read more.
Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the codebases of the software’s are increasingly growing that is the size of the modules, functionalities, the size of the classes etc. Since data is growing so rapidly it also mean the codebases of software’s or code are also growing as well. Therefore, this paper seeks to discuss the 5V’s of big data in the context of software code and how to optimize or manage the big code. When we talk of "Big Code for Big Software's," we are referring to the specific challenges and considerations involved in developing, managing, and maintaining of code in large-scale software systems.
Article
Open Access March 16, 2024

Metaverse in Nursing: A Concept Analysis

Abstract Background: Over the past decade, there has been a rapid advancement in technology and virtual reality applications, leading to the emergence of the metaverse - a virtual universe where users interact with each other and their surroundings through immersive experiences. In the nursing profession, the metaverse presents unique opportunities to enhance patient care, education, and collaboration. [...] Read more.
Background: Over the past decade, there has been a rapid advancement in technology and virtual reality applications, leading to the emergence of the metaverse - a virtual universe where users interact with each other and their surroundings through immersive experiences. In the nursing profession, the metaverse presents unique opportunities to enhance patient care, education, and collaboration. Aim: To analyze and identify the attributes of metaverse in nursing, exploring its dimensions, benefits, challenges, and implications. By examining relevant literature, this study will contribute to a better understanding of the metaverse in nursing. Method/Design: Concept analysis by Walker and Avant (2019). Results: Metaverse in nursing involves three defining attributes: use of advanced technologies, better access to education and healthcare, and collaboration and community building. Antecedents of metaverse in nursing require technological advancements, increased digital literacy, demand for innovative education, globalization of healthcare education Conclusion: Metaverse in Nursing suggests that it is a promising technology that has the potential to enhance nursing practice and improve patient outcomes, but further research is needed to fully explore the impact of its integration.
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Open Access March 01, 2024

Challenges Learners Face in Using the Flipped Classroom Model in the Teaching and Learning of Religious and Moral Education in the Nzema East Municipality of the Western Region of Ghana

Abstract Challenges are part and parcel of human activities. Quantitatively, a relational survey model research was adopted for the study. The population for this study comprised all Junior High School (JHS) Religious and Moral Education (RME) students in Bokro M/A JHS and the Eziom Methodist JHS in the Nzema-East Municipality of the Western Region. Purposive and random sampling techniques were used to [...] Read more.
Challenges are part and parcel of human activities. Quantitatively, a relational survey model research was adopted for the study. The population for this study comprised all Junior High School (JHS) Religious and Moral Education (RME) students in Bokro M/A JHS and the Eziom Methodist JHS in the Nzema-East Municipality of the Western Region. Purposive and random sampling techniques were used to select the schools and respondents for the study. The main instruments for data collection were a test and a questionnaire. The data from both the control and experimental groups on the challenges learners face in using the flipped classroom model in RME were analysed using means and standard deviations. The study indicates the challenges learners face by employing the flipped classroom model to learn include lack of data to access the internet, frequent light outs, lack of technological devices to access contents, frequent power outages, and difficulty in comprehending some of the materials given to them. Given that learners face frequent power outages during periods that they watch videos assigned to them by their teachers, it is recommended that the government and the Electricity Company of Ghana ensure that there is a constant flow of power to allow learners trying to use the flipped classroom to learn are without any hindrance. It is also recommended that the Ghana education service should organise continuing professional development for RME teachers on effective uses of technology in teaching and learning subject concepts. The government should also supply the basic schools with all the needed technological devices to promote effective teaching, learning and assessment.
Article
Open Access February 19, 2024

The COVID-19 Pandemic & College Students’ Perceptions of Access to Mental Health Services

Abstract The COVID-19 pandemic has had a significant impact on individuals worldwide, affecting not only their educational futures but also their mental health. This paper aims to explore college students' perceived barriers to accessing mental health services during the pandemic. The study finds that there is a significant difference between stigma-related and non-stigma-related barriers, with non-stigma [...] Read more.
The COVID-19 pandemic has had a significant impact on individuals worldwide, affecting not only their educational futures but also their mental health. This paper aims to explore college students' perceived barriers to accessing mental health services during the pandemic. The study finds that there is a significant difference between stigma-related and non-stigma-related barriers, with non-stigma items being rated higher on average. The most commonly reported non-stigma barriers include wanting to solve the problem independently, financial constraints, and the belief that the issue will resolve itself. Stigma-related barriers include feeling embarrassed or ashamed, concern about having a mental health problem on medical records, and fear of being seen as crazy or weak. This research sheds light on the challenges students face in seeking mental health care during the pandemic and highlights the need to address these barriers.
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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 November 01, 2023

Role of Enterprise Applications for Pharmaceutical Drug Traceability

Abstract The role of enterprise applications in pharmaceutical industries is driving the digital transformation of various critical processes, and one process benefiting from this innovation is pharmaceutical drug traceability. This industry grapples with challenges like a lack of transparency, difficulties in tracking products, a deficit of trust, and issues related to shipping expired products. To [...] Read more.
The role of enterprise applications in pharmaceutical industries is driving the digital transformation of various critical processes, and one process benefiting from this innovation is pharmaceutical drug traceability. This industry grapples with challenges like a lack of transparency, difficulties in tracking products, a deficit of trust, and issues related to shipping expired products. To address these concerns, blockchain technology as an enterprise application has been harnessed as a solution. Notably, counterfeit drug prevention emerged as the most prevalent category, aligning with the pharmaceutical industry's primary objective. Blockchain technology is an emerging innovation that is finding enterprise applications in various industries, including healthcare. In the healthcare sector, Blockchain networks are being utilized to securely store and exchange patient data across hospitals, diagnostic laboratories, pharmacies, and medical practitioners. These enterprise applications can effectively identify and mitigate critical errors, including potentially hazardous ones within the realm of healthcare. Consequently, this enterprise technology holds the promise of enhancing the efficiency, security, and transparency of medical data sharing within the healthcare system. Moreover, it offers valuable tools for medical institutions to gain insights and improve the analysis of medical records. It visually represents the diverse capabilities, enablers, and the unified workflow process of Blockchain technology in supporting healthcare on a global scale. Additionally, the paper presents a thorough discussion of fourteen significant applications of Blockchain in healthcare, underscoring its pivotal role in addressing issues like deception in clinical trials.
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 June 27, 2023

Teachers’ Knowledge Base in Community Resources Used in Assessing Social Studies Concepts

Abstract The purpose of this study was to examine teachers’ knowledge base in community resources used in assessing Social Studies concepts in the University of Education Practice Junior High School (JHS), Winneba. The case study design was employed as the study's qualitative methodology. The population comprised two Social Studies teachers in the University Practice JHS, Winneba. Purposive and convenient [...] Read more.
The purpose of this study was to examine teachers’ knowledge base in community resources used in assessing Social Studies concepts in the University of Education Practice Junior High School (JHS), Winneba. The case study design was employed as the study's qualitative methodology. The population comprised two Social Studies teachers in the University Practice JHS, Winneba. Purposive and convenient sampling techniques were used to select the teachers and school for the study. The main instrument for data collection was the interview guide. The two teachers were interviewed because they were in a position to give all the relevant information required for the research. They were also readily available at the time of the research. The study revealed that even though the Social Studies teachers were aware of community resources, they did not involve them often in their lesson delivery. However, in the only case where a teacher took the learners round the school compound to look at the various types of rocks, the learners were excited and willing to learn. The assessment results also showed that almost all learners, both low and high achievers had high scores. Evidence from the inquiry also shows that teachers used only traditional forms of assessment in Social Studies. Teachers give multiple choice and essay type of assessment items to learners. Teachers did not involve community resources in the assessment of Social Studies concepts because of challenges like inadequate time allocated for the teaching of the subject, financial constraints, bureaucratic processes involved in obtaining permission and the need to meet the requirements of external examinations. It is recommended that the Ghana Education Service (GES) should design appropriate policies to ensure that provision is made in the school academic calendar for field trips and community resource engagement for Social Studies education. Social Studies teachers should also be trained on the full range of assessment techniques suggested in the 2012 syllabus. Emphasis should be laid on authentic/alternate assessment practices. At the school level, heads of Social Studies department should organise periodic in-service training for the teachers to ensure that the curriculum, instruction and assessment practices are aligned to ensure that the subject attains its intended goals and outcomes.
Article
Open Access May 15, 2023

Social Studies Teachers' Authentic Assessment Practices, Tools and Challenges in Assessing Students' Learning Outcomes

Abstract Assessment is a vital aspect of curriculum practice. The study adopted explanatory mixed-method approach and sequential research design. The population for the study comprised all Social Studies teachers in Junior High Schools in the Ayensuano District. Convenient sampling techniques and census method were used to select the district, and all the one hundred and twenty-seven (127) teachers who [...] Read more.
Assessment is a vital aspect of curriculum practice. The study adopted explanatory mixed-method approach and sequential research design. The population for the study comprised all Social Studies teachers in Junior High Schools in the Ayensuano District. Convenient sampling techniques and census method were used to select the district, and all the one hundred and twenty-seven (127) teachers who teach Social Studies in the junior high schools in the district. The main instruments used for data collection and analysis were questionnaire and interview guide. The quantitative data was analysed both descriptive and inferential statistical tools. The qualitative data was transliterated and coded based on themes. Pre-set themes were used to generate the transcript (text) data based upon the research questions and discussed. The study concluded that authentic assessment practices by Social Studies teachers included the occasional guidance they give to their students about how to interpret topics and situations into relevant tasks with a clearly defined goal, and how to relate their knowledge in practical challenges. The study also revealed that refined essays, oral presentations, interviews, case study discussions, and live performances as authentic assessment strategies or tools Social Studies teachers used in assessing their students' learning outcomes in lessons. The study indicated that large class size, traditional assessment (examination) system, insufficient logistics and infrastructure, a paucity of funds to begin various activities and programs, a lack of motivation from school administrators, time constraints and difficulty in developing some authentic assessment tasks coupled with assessing some lessons using authentic assessment method are some of the criteria that influence the effectiveness of authentic assessment execution in teaching Social Studies courses. It is recommended that educational leaders should provide the resources to motivate Social Studies teachers to use authentic assessments for students’ learning in the classroom situation. It is also recommended that, Colleges of Education, Universities and National Teaching Council should organise professional development workshops and seminars to build the capacity of trained Social Studies teachers on the effective uses of authentic assessment practices.
Article
Open Access February 21, 2023

Religious and Moral Education Teachers’ Usage of the Flipped Classroom Model and its Influence on JHS Students’ Academic Performance in the Nzema-East Municipality, Ghana

Abstract The purpose of this study was to examine Religious and Moral Eduction teachers’ usage of the flipped classroom model Model and its Influence on JHS Students’ Academic Performance in the Nzema-East Municipality of Ghana.The study adopted the quasi-experimental research design. The population for this study comprised all JHS Religious and Moral Education students and teachers within the [...] Read more.
The purpose of this study was to examine Religious and Moral Eduction teachers’ usage of the flipped classroom model Model and its Influence on JHS Students’ Academic Performance in the Nzema-East Municipality of Ghana.The study adopted the quasi-experimental research design. The population for this study comprised all JHS Religious and Moral Education students and teachers within the Nzema-East Municipality of the Western Region. With the help of the Krejcie and Morgan’s sample determination table, a sample of 110 comprising 10 teachers and 100 students were selected for the study through multi-stage sampling. The instruments used for data collection were tests and questionnaires. The study indicated that, the flipped classroom is a very potent method of teaching RME. This is so because the study provides enough evidence that the flipped classroom significantly improves the performance of learners more than the traditional approaches to teaching. This is even more appropriate in a technological era such as ours. The study also revealed that, teachers have a positive view of the use of the flipped classroom in teaching RME. Junior High School RME teachers are ready to adopt the flipped classroom model in their teaching provided challenges students face are eliminated. It is recommended that, School Improvement Support Officers and Headteachers should ensure that teachers use the flipped classroom to bring variations in lesson delivery so as to improve the academic achievements of learners. It is also recommended that government should provide technological devices to schools and teachers and ensure that teachers employ the various technological devices at their disposal to the benefit of their students.
Article
Open Access January 27, 2023

Sexual Functioning of Patients with Gynecologic Cancers: A Qualitative Synthesis

Abstract Background: Sexuality is considered to be one of the most significant markers of quality of life. This is due to the fact that sexuality is linked to ideas, feelings, behaviors, social integration, and therefore, a person's physical and mental health and well-being but with patients who have gynecologic cancers, there are significant challenges when it comes to matters of sexuality and [...] Read more.
Background: Sexuality is considered to be one of the most significant markers of quality of life. This is due to the fact that sexuality is linked to ideas, feelings, behaviors, social integration, and therefore, a person's physical and mental health and well-being but with patients who have gynecologic cancers, there are significant challenges when it comes to matters of sexuality and intimacy. Aim: To find out how gynecological cancer affects women's sexual experiences and how they express sexuality in the context of their sickness Design: A qualitative synthesis, thematic approach Result: Nineteen (19) eligible studies centered with gynecologic cancers on sexual functioning were included with two (2) main themes emerged: (1) Issues with Sexual Experiences and (2) Physical and Emotional Burden. Many individuals were found to have one or more sexual dysfunctions, which commonly caused distress. Conclusion: Changes in the women’s quality of life in the sexual aspect due to their disease takes a toll not just on the physical but in other facets as well. Better knowledge and patient-centered approaches would improve gynecologic cancer patients' capacity to cope in terms of sexual functioning. Implications: Healthcare professionals such as oncology nurses and doctors should better understand ways to address the sexual problems of their patients following the myriad of events following their diagnosis and treatment of their gynecologic cancers.
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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 09, 2022

Socio-Economic and Cultural Barriers that Affect Women’s Participation in Local Level Governance in the Central Region of Ghana

Abstract The study sought to examine the socio-economic and cultural factors that affect women’s participation in local level governance in selected districts in the Central Region of Ghana. The qualitative approach was employed for this study, and an interview guide was used to gather data from 11 women assembly members and two of their husbands, making a total of 13 participants. The participants were [...] Read more.
The study sought to examine the socio-economic and cultural factors that affect women’s participation in local level governance in selected districts in the Central Region of Ghana. The qualitative approach was employed for this study, and an interview guide was used to gather data from 11 women assembly members and two of their husbands, making a total of 13 participants. The participants were sampled using purposive, snowball and convenient sampling techniques. The data was analysed thematically. The study identified lack of self-confidence, limited funds, unsupportive family, abuse and harassment, political affiliations in the Assembly and unsupportive religious organizations as the socio-economic and cultural barriers to women participation in local level governance in Agona West, Gomoa West and Gomoa Central Districts in the Central Region of Ghana. The findings showed that despite the barriers, some of the women were able to surmount such challenges and became successful in the District Assembly elections. The study recommended that special fund should be set up by the government to support Assembly women to perform their roles and responsibilities within their communities regularly. Such funds may help them fulfil their campaign promises, which may encourage them to seek re-election in the District Assemblies. Also, female politicians should mentor potential female politicians. The mentors may support them to build the confidence required to engage in local level politics and to aspire higher positions in political office.
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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 09, 2022

Economic Consequences of Covid-19 in Western Ethiopia: Challenges and Opportunities

Abstract This research is conducted with main aim of assessing the economic consequences of Covid-19 pandemic in Western Ethiopia. Primary data is collected through questionnaire and interview from 320 respondents living in three zones of Western Ethiopia. The study areas (zones) are selected purposively from Oromia region; however, the respondents are sampled by employing random sampling technique. The [...] Read more.
This research is conducted with main aim of assessing the economic consequences of Covid-19 pandemic in Western Ethiopia. Primary data is collected through questionnaire and interview from 320 respondents living in three zones of Western Ethiopia. The study areas (zones) are selected purposively from Oromia region; however, the respondents are sampled by employing random sampling technique. The respondents were stratified as community members, daily laborer, business owners, government sector and NGOs employees. Exploratory research design was adopted to achieve the research objectives. Simple descriptive statistics and ordinary least square regression model are used to analyze and interpret the collected data. The study results disclose that majority of community have good awareness about the pandemic and social interaction is reduced due to social distancing. Majority of respondents realize the negative impact of Covid-19 on their economy; reduction of office services; and reduced access to market; and absence of strong support from the government. The great severity of Covid-19 impacts is failed on daily laborers. The regression result shows that sales, experience in business, education level in years, employment status of the respondent, number of workers in the business and work hours per week are positively and significantly influencing daily income of business owner before and after the pandemic outbreak. It is advised the stakeholders to give frequent follow-up and support particularly for daily laborers and small business holders to reduce the future socio-economic impacts of Covid-19 pandemic.
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Open Access October 15, 2022

Perceptions of Nursing Personnel Regarding Challenges in Usage of PPE during COVID 19 Pandemic

Abstract The rapid spread of COVID 19 outbreak has put a heavy burden on human society and is a great challenge for health care workers. The present study aims to assess the perceptions of nursing personnel regarding challenges in usage of PPE during COVID 19 pandemic and to find out the association between severity of physical symptoms and selected personal variables of nursing personnel. A quantitative [...] Read more.
The rapid spread of COVID 19 outbreak has put a heavy burden on human society and is a great challenge for health care workers. The present study aims to assess the perceptions of nursing personnel regarding challenges in usage of PPE during COVID 19 pandemic and to find out the association between severity of physical symptoms and selected personal variables of nursing personnel. A quantitative approach with descriptive survey research design was used for the study. Web based self-administered questionnaire, rating scale and checklist were developed and distributed among study participants in the “Google forms”. A total of 134 participants were included in the study. Out of the 134 participants, 85(63.4%) nursing personnel were working in the government sector and 49(36.6%) of nursing personnel were working in the private sector. The top five challenges in the usage of PPE ranked based on self-reported data were; 1. difficulty to meet the basic needs such as food and fluids, 2. difficulty to meet elimination needs, 3. Unable to relax, 4. difficulty to meet hygienic needs and 5. disconnected with friends and family during working hours. Analysis of physical symptoms experienced by the nursing personnel showed that 41(30.6%) had mild symptoms, 54(40.3%) had moderate symptoms and 39(29.1%) had severe symptoms experienced owing to PPE usage. The most common physical symptoms reported by nurses were heat stress 124(92.5%), head ache 120(89.6%), exhaustion 117(87.3%) and dryness in throat (86.6%). There were no significant association between physical symptoms of nursing personnel and selected personal variables at 0.05 level of significance.
Article
Open Access September 09, 2022

Internet addiction: A summary towards an Integration of Current Knowledge and broad Perspectives

Abstract The internet originated as a neutral device that was predominantly created to bring ease to the lives of people by making available all the information needed for the growth and prosperity of human beings, but the misuse of this communication medium has created a lot of challenges and the internet addiction is one of them. Internet addiction is a rapidly growing phenomenon exhibiting alarming [...] Read more.
The internet originated as a neutral device that was predominantly created to bring ease to the lives of people by making available all the information needed for the growth and prosperity of human beings, but the misuse of this communication medium has created a lot of challenges and the internet addiction is one of them. Internet addiction is a rapidly growing phenomenon exhibiting alarming prevalence rates and a widely recognized problematic condition around the world. Preliminary findings have shown that the unrestrained availability of this communication medium has unfetteredly increased the rate of various complications including psychological disturbances, neurological problems, and social issues. Moreover, it has accelerated the probability of those having an underlying psychological disorder being at serious risk of becoming addicted to the internet, therefore, it has stirred a hot topic of discussion among the mental health communities. The aim of this paper was to deliberately provide a brief overview of the theoretical considerations and ongoing research on internet addiction. A detailed review analysis was performed addressing the types of internet addiction, epidemiology, comorbidities associated with the excessive use of the internet, and different treatment options. Moreover, future areas of research were highlighted stressing the significance of reaching a consensus on characterizing primary features of internet addiction, and an outlook on the future goals of ongoing research has been demonstrated.
Review Article
Open Access August 22, 2022

Managing Challenges Women Face in Leadership Positions: Carl Rogers' Humanistic Approach

Abstract The purpose of the study was to examine Carl Rogers' humanistic approach to supporting women in leadership positions to make a formed decision on how to manage the challenges they face. A qualitative approach was adopted for the study. The population of the study included fifteen (15) headmistresses and housemistresses in the Senior High Schools in the New Juaben Municipality in the Eastern [...] Read more.
The purpose of the study was to examine Carl Rogers' humanistic approach to supporting women in leadership positions to make a formed decision on how to manage the challenges they face. A qualitative approach was adopted for the study. The population of the study included fifteen (15) headmistresses and housemistresses in the Senior High Schools in the New Juaben Municipality in the Eastern Region. The purposive sampling technique was used to select schools, headmistresses and housemistresses in the schools. The schools selected were Oyoko Methodist Senior High School (OMESS), SDA Senior High School (SEDASS), Ghana Senior High School (GHANASS), Koforidua Technical Institute (KOTECH), Nana Kwaku Boateng Senior High School (OBOSS) and New Juaben Senior High School (NJUASCO). The main instruments used for data collection were a semi-structured interview guide and Reflective dialogue. Data was analysed through the use of the thematic approach. Within-case and across-case analytical technique was used to analyse the qualitative data. This was done through the identification of themes, categories and sub-categories the analytical tool for the qualitative data through interviews and reflective dialogue (RD). Themes that were extracted from the interview corresponding to Carl Rogers' humanistic person-centred) the approach were; inherent potentialities, support, motivation, power relation, INSET, cultural dimension, and guidance and counselling. The study revealed that women face challenges using inadequate school facilities they do their best possible to manage their challenges with the few facilities available, the introduction of Carl Rogers' intervention, and women became more aware of their potential in managing the challenges they face at work in their leadership positions. It is recommended that guidance programmes should be conducted often to inform both teachers and students about the potential of women. It has also emerged that women leaders do not know who they are and therefore they should undergo counselling in order to be self-actualised.
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Open Access August 20, 2022

Perceptions and Challenges in the Implementation of the In-In-Out Programme in the Selected Colleges of Education in Ghana

Abstract The purpose of the study was to assess the perceptions and challenges facing in the implementation process of the IN-IN-OUT programme in selected colleges of education in the Ashanti Region of Ghana. The descriptive cross-sectional survey was employed as the research design in this study. The population was made up of supervisors, mentors, and mentees from St. Louis and Wesley Colleges of [...] Read more.
The purpose of the study was to assess the perceptions and challenges facing in the implementation process of the IN-IN-OUT programme in selected colleges of education in the Ashanti Region of Ghana. The descriptive cross-sectional survey was employed as the research design in this study. The population was made up of supervisors, mentors, and mentees from St. Louis and Wesley Colleges of education who have been posted to various communities in the Ashanti Region of Ghana to practice teaching. Purposive and random Sampling techniques were used to select tutors, teacher-trainees, mentors and assemblymen in the practicing communities. The study's main data collection tools were questionnaires and interview and classroom observation protocols. The data collected were scored and analyzed using the Statistical Package for Social Scientists (SPSS) computer software. Frequencies, percentages, and other measures of central tendencies were calculated. The study revealed that teacher-trainees, mentors, and assemblymen in the two (2) communities saw the IN-IN-OUT programme as useful to a large extent, even though they had varied opinions. While some say the program was merely useful, some see it as very useful and others saw the program as extremely useful. The study also revealed that the challenges faced by the various teacher trainees, mentors, and supervisors include social problems, financial difficulties, and time constraints. It is recommended that teacher trainees are posted to the rural and peri-urban communities, one can be sure that after their certification they will be fully prepared to face the challenges ahead of them. It is also recommended that the government and stakeholders should as a matter of urgency commit more money to this programme.
Article
Open Access August 20, 2022

Student-Athlete Burnout: A Division I Women’s Soccer Coach’s Perspective

Abstract With numerous unique physical, mental, psychological, and emotional challenges associated with being a university-level student-athlete, it can be assumed that student-athletes may be at great risk of mental health conditions such as burnout. Burnout results from the interaction of three different elements: physical or emotional exhaustion, sport devaluation, and reduced athletic accomplishment. This study sought to answer the following research questions: (1) Why do student-athletes experience burnout in their sport?, and (2) What can be done to avoid burnout? using standard qualitative interviewing techniques of a Division I Women’s Soccer coach. There were two prominent themes answering research question 1: Perfection and Performative Social Media and It’s a Job and Coach is the Boss. There were three prominent themes identified answering research question 2: Parental Influence, De-Professionalize Amateur Sport, and Value Athletes’ Time [...] Read more.
With numerous unique physical, mental, psychological, and emotional challenges associated with being a university-level student-athlete, it can be assumed that student-athletes may be at great risk of mental health conditions such as burnout. Burnout results from the interaction of three different elements: physical or emotional exhaustion, sport devaluation, and reduced athletic accomplishment. This study sought to answer the following research questions: (1) Why do student-athletes experience burnout in their sport?, and (2) What can be done to avoid burnout? using standard qualitative interviewing techniques of a Division I Women’s Soccer coach. There were two prominent themes answering research question 1: Perfection and Performative Social Media and It’s a Job and Coach is the Boss. There were three prominent themes identified answering research question 2: Parental Influence, De-Professionalize Amateur Sport, and Value Athletes’ Time. Where this work differs from other qualitative studies regarding athlete burnout, is that it explores the perceptions and opinions of a coach. The coach interviewed for this study clearly expressed concerns for his student-athletes and their holistic well-being. In addition to a continuation of scholarship through the student-athletes lens, more research conducted exploring the perspectives of coaches, parents, and institutional administrators in pursuit of solutions to mitigating the effect of burnout on student-athletes is of value.
Article
Open Access August 08, 2022

Motives of Tourists': Socio-Economic and Challenges of Kwahu Easter Festival (KEF) in Ghana

Abstract The purpose of the study was to examine the Motives of Tourists; Socio-Economic and Challenges of tourism in Kwahu in the Eastern Region of Ghana The study adopted a descriptive survey research design. The population of the study comprised six (6) communities (Mpraeso, Atibie, Obomeng, Obo Oworobong, and Nketepa in Kwahu South District Assembly (KSDA) in the Eastern Region of Ghana. Purposive and [...] Read more.
The purpose of the study was to examine the Motives of Tourists; Socio-Economic and Challenges of tourism in Kwahu in the Eastern Region of Ghana The study adopted a descriptive survey research design. The population of the study comprised six (6) communities (Mpraeso, Atibie, Obomeng, Obo Oworobong, and Nketepa in Kwahu South District Assembly (KSDA) in the Eastern Region of Ghana. Purposive and convenient sampling techniques were employed to select two hundred (200) respondents for the study. The main instrument used for data collection was questionnaires. The study employed the statistical package for social sciences (SPSS) to code and process the collected data. Descriptive and relational statistical techniques involving frequencies, percentages, summations, diagrams, and tables were employed in analysing the data. The Chi-square test analysis was used to explore the relationships and differences in perceptions. The study indicated that every tourist, whether local (Ghanaian) or foreign, had at least one of the following motives in mind for participating in the festival; To socialize; For relaxation; For education to participate and witness the paragliding festivals; To take photographs of festival scenes; Other motives like to sell items, especially souvenirs. The study also revealed that the KEF has had some positive socio-economic impact or implications on the area. These among others include: job creation, income generation for locals of the area, infrastructural development, and projection of the image of the area as the festival has become one of the biggest gatherings of revellers in the country, drawing people from all walks of life, nationally and internationally as a result of the introduction of paragliding since 2005, socialization enhancement, medium for cultural exchange and education, and finally serves as a medium for portraying the cultural identity of the people of Kwahu. The study also indicated that the major challenges encountered by tourists during the event were listed in order of degree of intensity: High cost of living, poor road network in the area, intermitted electricity and water supply, poor sanitary conditions in the area, poor health facilities, and unwelcoming attitude of some local residents of the festival area. It is recommended that, residents must be educated about the potential benefits of tourism as an industry helping to achieve sustainable community development. It is also recommended that Ghana tourism authority and Kwahu District Assembly should collaborate to improve on social amenities in the municipality to attract more foreign and local tourists during the festivity.
Article
Open Access July 13, 2022

Accessibility Issues Facing School Supervision: A Study of Island Schools in the Krachi-East and Krachi-West Education Directorates, Ghana

Abstract Supervision is at the core of every successful organization or institution. The fundamental thrust of this study is to examine the challenges external supervisors encounter and the mitigating measures they employ to ensure supervision of schools in island communities within the Krachi-East and Krachi-West Education Directorates in the Oti Region, Ghana. The study employed the mixed method approach [...] Read more.
Supervision is at the core of every successful organization or institution. The fundamental thrust of this study is to examine the challenges external supervisors encounter and the mitigating measures they employ to ensure supervision of schools in island communities within the Krachi-East and Krachi-West Education Directorates in the Oti Region, Ghana. The study employed the mixed method approach to studying phenomena, precisely the sequential explanatory mixed method. The quantitative data was gathered from seventeen (17) participants and analysed descriptively using mean and standard deviation with the help of the SPSS software package and presented in tables. The qualitative data from three (3) interviewees was analysed based on themes that are related to the research questions. The study established that the accessibility of island schools by external supervisors was a major challenge. This was due to a lack of readily available canoes and the required accessories for safe travelling by water. The study recommends that schools in such enclaves be provided with outboard motors, canoes, and life jackets as well as operators.
Article
Open Access July 07, 2022

Students' Perceptions of the objectives and Contents of the College of Education Social Studies Curriculum: Challenges in Perspective

Abstract The purpose of the study was to examine the objectives and contents of Social Studies and its related challenges facing the Colleges of Education in Ghana The study adopted a quantitative research approach. The population comprises tutors and students of Social Studies in the three (3) Colleges of Education in the Central Region of Ghana. The purposive sampling technique was used to select the [...] Read more.
The purpose of the study was to examine the objectives and contents of Social Studies and its related challenges facing the Colleges of Education in Ghana The study adopted a quantitative research approach. The population comprises tutors and students of Social Studies in the three (3) Colleges of Education in the Central Region of Ghana. The purposive sampling technique was used to select the three Colleges of Education and twenty (20) Social Studies tutors. Krejcie and Morgan’s table was used to determine sample size two and forty-eight (248) students out of seven hundred (700) students. The main instrument for data collection was a questionnaire. The quantitative data entry and analysis were done using IBM SPSS Statistics software, version 22. Frequencies and percentages were used as statistical tools to analyse responses to all the research questions. The study revealed that students in the Colleges of Education of Ghana had had an understanding of the Social Studies programme in terms of objectives, content, and scope as well as the integrated nature of the subject and its usefulness in the resolution of social problems. . The study also indicated teachers who may not be well versed in specific topics in the subject and may either skip it or teach it anyhow. It is recommended that regular workshops and conferences be organised for Social Studies teachers of the Colleges of Education in order to update their knowledge on some topics especially current issues on the subject. It is also recommended that Social Studies teachers should be encouraged to engage the services of resource persons to support them teach unfamiliar or challenging topics to avoid polluting the pre-service teachers.
Article
Open Access June 26, 2022

Appraisal of Challenges and Community Promotion in WASH Facilities in Senior High Schools in Ghana

Abstract This study adopted both qualitative and quantitative research approaches. The study population covered the house masters and mistresses, students, teachers, grounds prefect and WASH coordinators in the Assin Manso, Adankwaman, Nyankomasi Ahenkro, Assin Nsuta Agric Senior High Schools in the Assin South District. Simple random and purposive sampling techniques were employed to select respondents [...] Read more.
This study adopted both qualitative and quantitative research approaches. The study population covered the house masters and mistresses, students, teachers, grounds prefect and WASH coordinators in the Assin Manso, Adankwaman, Nyankomasi Ahenkro, Assin Nsuta Agric Senior High Schools in the Assin South District. Simple random and purposive sampling techniques were employed to select respondents for the study. The sample size for the study was 216. Two hundred students (200) were selected from the four senior high schools in the District, that is, 50 students from each school, four (4) grounds prefects, one from each school, eight (8) house masters /mistresses, that is, two (2) from each school, and four (4) WASH coordinators one each from a school. The main tools used for the study were semi-structured questionnaires, interview guide and observation checklist. Data analysis was done using both quantitative and qualitative methods. Descriptive data were analysed qualitatively and emerging themes from the data were obtained and categorised and then interpreted through the interview guide with observation checklist digital data such as photographs were used to bring out some aspects of the schools’ surrounding. On the other hand, quantitative data were collected using questionnaire on the numbers of schools and WASH facilities, and analysed using SPSS. The study indicated that the failure of the school administration to maintain the WASH facilities will eventually lead to their breakdown, thus making it difficult for the students to use them. The study also revealed that the poor participation by the communities in the provision and maintenance of the WASH facilities stems from the fact they do not get any direct benefit from the schools. It is recommended that, in promoting WASH facilities in the schools, administrators must include maintenance of the facilities in their provision to ensure their long-term use, other than that the facilities will break down, and resources will have to be mobilized again to repair them or provide new ones. It is also recommended that, Rules and regulations concerning the use and maintenance of WASH facilities should be made by school administration and copies given to the students to guide them as they use the facilities.
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Open Access June 22, 2022

Adapting examination and student evaluation at Biomedical Science Institute in the time of COVID-19

Abstract As COVID-19 pandemic spreads worldwide, universities and academic institutions were forced to shift their face-to-face education to online learning since spring 2020. This shift was termed “emergency remote education or learning”, caused many distractions to students, and posed many challenges for both assessment and examination systems and practices at our Zhejiang University-University of [...] Read more.
As COVID-19 pandemic spreads worldwide, universities and academic institutions were forced to shift their face-to-face education to online learning since spring 2020. This shift was termed “emergency remote education or learning”, caused many distractions to students, and posed many challenges for both assessment and examination systems and practices at our Zhejiang University-University of Edinburgh (ZJU-UoE) Biomedical Science Institute, like other educational institutions worldwide. This necessitated the development of alternative and effective approaches and procedures to teach students, and several changes and adaptions of assessments and examinations at ZJU-UoE institute. In this article, we described the implications of the COVID-19 pandemic for student assessment systems and practices at ZJU-UoE Institute. The article is particularly reflecting on alternative approaches and strategies that we have developed at ZJU-UoE institute to change and adapt student assessments and examinations during COVID-19 pandemic. These changes involved developing general examination strategies and settings, including online (MCQ-type) test exam settings and online written exam settings, and developing effective procedure and policy to safeguard academic integrity during the COVID-19 pandemic that can help with facing various education and learning challenges in a time of crisis worldwide.
Short Reflection and Observation Report
Open Access May 21, 2022

State of knowledge and challenges in the control and eradication of Onchocerciasis in Africa: a mini scoping review

Abstract Background: Onchocerciasis is a vector-borne neglected tropical disease (NTD) caused by the filarial worm Onchocerca volvulus [...] Read more.
Background: Onchocerciasis is a vector-borne neglected tropical disease (NTD) caused by the filarial worm Onchocerca volvulus. Given the high morbidity and mortality, onchocerciasis control gained great attention from many stakeholders both nationally and internationally. However, there are still the need for further solidified commitments and compelling initiatives across concerned stakeholders including regional bodies in the fight toward controlling its burden and risks. Thus, this review briefly appraised the current understanding and dynamics in the control and eradication efforts of Onchocerciasis in Africa. Methods: A rapid scoping review was used for this paper. Key databases used for this study include Web of Science, Scopus, Science Direct, PubMed and Google Scholar to identify a series of relevant peer-reviewed publications. The search contained just English-language articles. In addition, African government websites and specialized organizations such as WHO, UNAIDS, CDC, etc. were accessed and reviewed to gather important data on national and international control programs, related documentation and consultative expert reports. Results: In Africa, long-standing strides toward the control and elimination measures for onchocerciasis were conducted for several decades. Between 1974 to 2002, OCP had actively led the control and containment efforts for onchocerciasis in the context of 11 West Africa. However, endemic regions and states have switched their policies from controlling to eradication, with the ultimate objective of preventing their territories from parasite spread. Some key challenges are the insufficient identification of all endemic areas, high prevalence of both onchocerciasis and loiasis, potential development of resistance to ivermectin, inconsistent initiatives to address cross-border problems, disagreements and social disturbance. Various challenges, however, impede current efforts to eradicate African onchocerciasis. Conclusion: In the last decades, extensive measures have been taken with specialized state programs, largely efficient in high endemic nations, to manage and control onchocerciasis in African regions. The implications of these and other difficulties at country level control programs must therefore be identified and country-specific contextual remedies used to expedite the elimination of onchocerciasis.
Mini Review
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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Open Access April 17, 2022

Challenges of Instructional Supervision of Social Studies Lessons in the Public Basic Junior High Schools in Ghana

Abstract The purpose of this study was to examine the challenges faced by School Improvement Support Officers, Headmasters and teachers during the instructional supervision of Social Studies lessons in the public basic junior high schools in the Aowin Municipality of the Western North Region of Ghana. The study adopted sequential explanatory research design. The population of the study included School [...] Read more.
The purpose of this study was to examine the challenges faced by School Improvement Support Officers, Headmasters and teachers during the instructional supervision of Social Studies lessons in the public basic junior high schools in the Aowin Municipality of the Western North Region of Ghana. The study adopted sequential explanatory research design. The population of the study included School Improvement Support Officers (SISOs), Headteachers and teachers of selected from Junior High Schools in Aowin Municipality of the Western North Region of Ghana. Purposive sampling technique was used to select ten (10) SISOs and sixty (60) Headteachers in the Aowin Municipality. Stratified, simple random and quota sampling technique was used to select one hundred and twenty (120) teachers for the study. The two main instruments used for data collection were questionnaire and interview guide. The quantitative data entry and analysis was done by using the SPSS version 22 software package. The data was edited, coded and analysed into frequencies, percentages with interpretations. The qualitative data was analysed by the use of the interpretative method. The study revealed that headteachers and School Improvement Support Officers (SISOs) faced challenges such as ; Poor road networks which affected planned supervision; Inability of district directorate to promptly, firmly and fairly acts upon reports from instructional supervision activities from supervisors; Lack of logistics for regular supervision; Insufficient up-to-date knowledge and skills for organizing instructional supervision; and Financial constraints. To overcome the challenges and poor supervisory techniques by headteachers and SISOs, it is recommended that these personnel should be oriented on modern trends in instructional supervision, provided with adequate and sufficient materials for instructional supervision, sufficient funds provided for organizing instructional supervision, the municipal directorate should fairly and firmly implement reports on instructional supervision activities and there should be good motivation package for supervisors to enable them to effectively perform their duties.
Article
Open Access February 23, 2022

Implementation of One Key Question? at an Urban Teaching Hospital: Challenges and Lessons Learned

Abstract Introduction: One Key Question® is a patient-centered tool that seeks to understand patient pregnancy intention and counseling. This pilot study aimed to assess implementation of OKQ at an urban healthcare facility and improve understanding of short interpregnancy intervals (IPI). Methods: We describe the implementation of OKQ in our setting using the Diffusion of Innovation Theory [...] Read more.
Introduction: One Key Question® is a patient-centered tool that seeks to understand patient pregnancy intention and counseling. This pilot study aimed to assess implementation of OKQ at an urban healthcare facility and improve understanding of short interpregnancy intervals (IPI). Methods: We describe the implementation of OKQ in our setting using the Diffusion of Innovation Theory as a framework. We broke this up into two phases – the first to assess provider acceptance of the OKQ integration into the clinic workflow and the second to assess how well documentation of OKQ answers occurred in our EMR. Results: Most providers in the first phase reported awareness of the inclusion of OKQ in the EHR, yet most physician providers reported only using OKQ at “some visits” (n=5) compared to the MAs, who reported using OKQ at “every visit” (n=8). Most providers felt that OKQ was an effective method of providing preconception and contraception care for women of reproductive age (n=10). Sixty-four patients completed a survey on OKQ after their visit who identified as young (mean age 28.7), either Black (46.9%) or Hispanic (51.6%) and pregnant (61%). Of those, 83% reported that they were not asked OKQ and 42% reported receiving counseling on optimal IPI. In those patients, 78% had documentation of usage of OKQ in the medical record. Discussion: The implementation of OKQ provided an opportunity to provide standardized preconception and contraception care to our patient population and improve information regarding short IPI. However, challenges existed in implementation which much be overcome to benefit from OKQ. Significance: OKQ has been used successfully in primary care and other settings to assess pregnancy intentions. This article adds to the literature by investigating the implementation of OKQ in a low-resource setting during prenatal and gynecology care. It shares struggles of implementing OKQ in an electronic medical record and how to roll out this program in a setting where pregnancy intention already is including in various forms by our providers.
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Project Report
Open Access November 22, 2021

COVID-19 and Legionella Co-Infection

Abstract Introduction: Concurrent infections or co-infections in patients diagnosed with Coronavirus Disease-19 (COVID-19) are not uncommon and predict a pejorative prognosis. A co-infection accounts for 1 out of every 5 cases of COVID-19 and increases the likelihood of adverse health outcomes such as mechanical ventilations, ICU admissions, and death. Specifically, Legionella spp. [...] Read more.
Introduction: Concurrent infections or co-infections in patients diagnosed with Coronavirus Disease-19 (COVID-19) are not uncommon and predict a pejorative prognosis. A co-infection accounts for 1 out of every 5 cases of COVID-19 and increases the likelihood of adverse health outcomes such as mechanical ventilations, ICU admissions, and death. Specifically, Legionella spp. co-infection presents additional challenges in COVID-19 patients because of its rarity, similar clinical presentation to SARS-CoV-2, and poorer outcomes without prompt treatment. Cases Presentation: Case 1. A 62-year-old female presented with a 3-day history of subjective fever and worsening shortness of breath. Room air saturation (saO2) was 70% and improved to 100% on noninvasive positive- pressure ventilation (NIPPV). Lung auscultation revealed rales BL. Chest X –Ray (CXR) showed patchy airspace opacities bilaterally (BL), SARS-CoV-2 PCR and urine legionella antigen tests were positive. The diagnosis of hypoxic respiratory failure secondary to COVID-19 and Legionella pneumonia was made. Patient was admitted to intensive care unit (ICU) and managed with decadron, remdesivir, one unit of convalescent plasma for COVID-19 and Azithromycin for Legionella. Patient subsequently developed acute respiratory distress syndrome (ARDS). ARDS protocol was initiated. 13 days after, the patient was compassionately extubated. Case 2. A 41-year-old male presented with 5-day history of fever, worsening shortness of breath, cough and diarrhea. Patient admitted history of ethanol abuse. SaO2 was 88% and improved on oxygen canula. Lung auscultation revealed rhonchi BL. CXR showed extensive left lung consolidation. Urine test for legionella antigen was positive. COVID-19 PCR was negative, but SARS-CoV-2 IgG was reactive. The diagnosis of Legionnaire disease was made. Despite initial treatment with Azithromycin, patient's hypoxia continued to worsen requiring NIPPV, and subsequently mechanical ventilation in the ICU. The adjunction of empiric treatment for COVID-19 with convalescent plasma, remdesivir and steroids improved both clinicals and laboratory findings. Discussion: The cases illustrated the practical challenges of managing COVID-19 and legionella co- infection. Legionella spp and SARS-CoV-2 overlapping incubation periods and similar clinical presentations and complications. In the absence of diagnosis and treatment, legionella pneumonia has an intrinsic mortality rate of up to 80%. As some COVID-19 mitigation strategies, such as the closure of businesses, have enhanced the conditions for Legionella spp proliferation, the incidence of Co-infection with COVID-19 may increase. We recommend clinicians to have high-indexed suspicion of COVID-19 and Legionella co-infection in order to obtain complete work up at patient’s initial presentation.
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Case Report
Open Access October 24, 2021

The Developmental Factors of Identity Strategies Variation among Schooled Central African Adolescent Refugees in the East-Region of Cameroon

Abstract The present study poses the problem of the variations observed in the construction of identity strategies among schooled adolescent refugees. It starts from the observation that the latter express serious difficulties to be integrated into their host socio-cultural environments. Yet proximity to their original culture should guarantee continuity in the emergence of developmental skills initiated [...] Read more.
The present study poses the problem of the variations observed in the construction of identity strategies among schooled adolescent refugees. It starts from the observation that the latter express serious difficulties to be integrated into their host socio-cultural environments. Yet proximity to their original culture should guarantee continuity in the emergence of developmental skills initiated in their basic anthropomorphic universe. Paradoxically, they become dysfunctional in face of the demands of the host environment, and require the construction of identity strategies to adapt. Data collected from one hundred and eighty-four (184) central African refugee adolescents in the Lom-and-Djérem Division (Cameroon’s East-Region), show that in a situation of socio-emotional adaptation, age and sex are among the main factors of variation in the construction of these identity strategies.
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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Open Access September 24, 2021

Hydrogen Industry: A Technical, Economic, and Market Analysis Overview

Abstract Like electricity, hydrogen is an excellent energy carrier, as it can be produced from many different and abundant precursors, such as natural gas, coal, water, and renewable energy. The use of hydrogen in fuel cells, particularly in the transport sector, will make it possible to diversify the energy supply, take advantage of domestic resources, and reduce oil imports dependence. Unlike other [...] Read more.
Like electricity, hydrogen is an excellent energy carrier, as it can be produced from many different and abundant precursors, such as natural gas, coal, water, and renewable energy. The use of hydrogen in fuel cells, particularly in the transport sector, will make it possible to diversify the energy supply, take advantage of domestic resources, and reduce oil imports dependence. Unlike other fuels, hydrogen (H2) can be generated and consumed without emitting carbon dioxide (CO2). This results in great ecological benefits and fundamental challenges. Hydrogen can operate in a closed and inexhaustible cycle based on the cleanest, most abundant, and elemental substances: water, oxygen, and hydrogen. If hydrogen is generated using light, heat, and electricity produced from solar, wind, or nuclear energy, hydrogen becomes a versatile and universal means of storing and transporting energy and a necessary element for future energy systems that operate without environmental pollution, CO2, and other gases that contribute to the greenhouse effect. Hydrogen is necessary to eliminate environmental pollution and stabilize the composition of the planet’s atmosphere and climate. This paper investigates different methods of hydrogen production in the term of their technological and economic aspects. This paper shows that thermochemical methods dominate the hydrogen market while emerging electroreduction methods are developing fast, which might turn the tide in the future.
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Open Access September 23, 2021

Green Economy: A Necessary Decision to be Taken

Abstract The concept of the green economy is one of the global strategies to face contemporary societies' economic and environmental crises. Methodologically, the conceptualization, objectives, implementation, and criticism of various sectors of society to this new economic paradigm are addressed. It was found that authors and civil organizations have great expectations in the face of the challenges and [...] Read more.
The concept of the green economy is one of the global strategies to face contemporary societies' economic and environmental crises. Methodologically, the conceptualization, objectives, implementation, and criticism of various sectors of society to this new economic paradigm are addressed. It was found that authors and civil organizations have great expectations in the face of the challenges and challenges of this global strategy that has within its objectives sustainability, the eradication of poverty, and the inclusion of vulnerable social sectors. It is concluded that the green economy can contribute to maintaining a healthy environment and the proper use of ecosystem services, both for the present generation and for future generations.
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Open Access August 25, 2021

Green Victimology View in Iranian Criminology System

Abstract Green or environmental victimology is one of the branches of green criminology that emerged in the 1990s with the criminal justice system’s critical origins instead of conventional victimology. In contrast, green victimology believes that human beings can be green victims alongside nature. By following the rules of Iran’s legislative penal policy, green victims can be divided into living and [...] Read more.
Green or environmental victimology is one of the branches of green criminology that emerged in the 1990s with the criminal justice system’s critical origins instead of conventional victimology. In contrast, green victimology believes that human beings can be green victims alongside nature. By following the rules of Iran’s legislative penal policy, green victims can be divided into living and inanimate categories. Living green victims are people, animals, trees, plants, and inanimate green victims divided into air, water, soil, and earth. Although the Iranian legal system considers both groups as green victims and is therefore influenced by a nature-oriented approach, many challenges support them in these regulations, and portraying them can play a valuable role in identifying and protecting them. Green victims play. Therefore, in this study, the first goal is to identify green victims, and the second goal is to express the extent of the legislator’s support for green victims and the challenges it faces.
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Open Access August 09, 2021

Covid-19 and the Environment: Challenges and Opportunities

Abstract After the outbreak of the covid-19 disease in the world of human life, living organisms and their environment were affected in various ways. The outbreak of the covid-19 virus has posed many opportunities and challenges to the world environment. This article aims to investigate the effects of the outbreak of covid-19 disease on the environment. This research has studied the effects of the covid-19 [...] Read more.
After the outbreak of the covid-19 disease in the world of human life, living organisms and their environment were affected in various ways. The outbreak of the covid-19 virus has posed many opportunities and challenges to the world environment. This article aims to investigate the effects of the outbreak of covid-19 disease on the environment. This research has studied the effects of the covid-19 virus on the environment through library and review methods. It has been studied and analyzed in the form of articles and related researches. The results of published sources show that quarantine and the requirement of humans to stay at home to break the covid-19 transmission chain caused the animals to feel safe, move out of their natural territory and into urban and rural areas. Reducing noise and air pollution and greenhouse gas emissions by reducing vehicle traffic and shutting down factories are other positive effects of the covid-19 outbreak that has helped improve air quality and reduce global warming. In addition to these positive effects, reducing conservation activities during the Covid-19 era in some areas has increased habitat destruction and poaching. Increasing household and hospital waste production, increasing the consumption of plastics and disposable materials, and decreasing waste recycling are the negative effects of the covid-19 virus epidemic, which, by destroying resources, puts pressure on the environment. Increased consumption of detergents and disinfectants will have many detrimental effects on the environment. In general, the positive effects of the covid-19 virus on the temporary and short-term environment seem to be small compared to the long-term consequences. Therefore, by overcoming covid-19, we should focus on rebuilding society and a healthy economy, and by fully understanding the opportunities and threats of this virus, we should consciously train environmental behaviors.
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Open Access July 21, 2021

Earth Observation Techniques to Assess Water Quality Monitoring in the Murray Darling Basin of Australia

Abstract The Murray Darling Basin Authority (MDBA) currently has been using a discrete field sampling technique for water quality monitoring that is expensive, time consuming and may not adequately represent the spatial variability of water quality relative to the entire water body. A pilot project was executed to assess the effectiveness of using earth observation data, supported by archived field-based [...] Read more.
The Murray Darling Basin Authority (MDBA) currently has been using a discrete field sampling technique for water quality monitoring that is expensive, time consuming and may not adequately represent the spatial variability of water quality relative to the entire water body. A pilot project was executed to assess the effectiveness of using earth observation data, supported by archived field-based observations for quantitative estimation of Water Quality Parameters (WQP) and detection of algal blooms in the River Murray. The selected pilot study area includes a 100km stretch of the River Murray between the Hume Dam and Yarrawonga Weir. The time frame for the archived field samples was between November 2008 and March 2011, when major algal blooms were occurring in this stretch of the Murray River.Analysis of the 2009 data shows that waters in sites in the Murray River downstream of the Hume Dam to the Yarrawonga Weir show more temporal than spatial variability in Chl-a and PC levels. The Chl-a concentration is relatively less in the Yarrawonga Weir than in the Murray River. The scatter plot of PC vs. Turbidity suggests that PC is a more significant parameter for the detection of Cyanobacteria than Chl-a. The field data represents the temporal bio-optical variability across the 2009 algal bloom events by successfully capturing the co-variations among Chlorophyll-a, Chycocyanin and turbidity at pre, during and post bloom conditions. The methodology has proved that the usefulness of an integrated earth observation and field based WQP technique to accurately map algal bloom events. The long term MDBA RMWQMP data for the 2009 bloom event is found partially compatible to the NOW Pilot study data in that only the data for the Heywood site that was used together for testing the WQP monitoring technique. The incompatibility of the RMWQMP data downstream of Yarrawonga Weir may be due to differing techniques used for determining Chlorophyll. The 2010 data was suitable for testing the technique for complex spatial bio-optical variability during the peak of the bloom in a large water storage. Lack of Chlorophyll measurements in 2010 data poses challenges in interpreting the relationship of bio-optical variability with the spatial distributions of bio-optical parameters. As relational parameters are absent, local information and expert advice will be required to develop plausible assumptions between the Chlorophyll - Phycocyanin relationship. The field sampled data for the 2010 bloom event acquired from the Hume Dam was used for comparative investigation of both moderate resolution sensors (MODIS and MERIS) and high resolution sensors (TM/TM+). The 2009 bloom event field samples of sites in the Yarrawonga Weir was used as an input with MODIS and MERIS and the data from all the sites was applied with TM/TM+. This paper will present an integrated earth observation and field based WQP technique to accurately map algal bloom events, and discuss challenges for real time earth observation data initiatives and future collaborative projects.
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Open Access December 23, 2022

Effect of Modal Verbs on Students’ Writing in the Colleges of Education

Abstract The study adopted a mixed-method research approach. The population size of this study constitutes the last batch of Diploma in Basic Education (DBE) and the current first-year students of the new programme (Bachelor in Basic Education) of Mount Mary College of Education. Purposive and random sampling techniques were used to select seven hundred and seventy-nine (779) respondents for the study. A [...] Read more.
The study adopted a mixed-method research approach. The population size of this study constitutes the last batch of Diploma in Basic Education (DBE) and the current first-year students of the new programme (Bachelor in Basic Education) of Mount Mary College of Education. Purposive and random sampling techniques were used to select seven hundred and seventy-nine (779) respondents for the study. A purposive sampling technique was used to select final year Diploma in Basic Education (DBE), made up of 312 and first-batch first-year students of the new programme (Bachelor in Basic Education) of Mount Mary College of Education, made of up 467 were used for data collection. A simple random technique was used to select 15 long essays from the final year Diploma in Basic Education while 30 assignments were selected from the first batch Bachelor in Basic Education students. Documents and interview guides were used for data collection. With an interpretative lens, the data were analysed in themes. The challenges in writing are the substitution of one modal verb for another, forceful insertions of modal verbs and improper modal forms. There was also proof that students were found to have used modal verbs in sentences that lacked the corresponding relationship with other clausal elements, making such constructions grammatically and pragmatically non-harmonious. It is recommended that there is a need to have a run-on design of the curricula by making sure that, a gradual introduction of modal verbs begins from the basic and low-grade level of the educational system to the highest. As these learners move up, they will correctly apply the verbs, changing from the core meaning of the modals to more complex uses. This concerted effort though will not be a panacea to the modal verbs challenge; it could mitigate he problem to a large extent.
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Open Access December 27, 2021

Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis

Abstract The manufacturing industry has embraced modern technologies such as big data, machine learning, and artificial intelligence. This paper examines AI and machine learning developments in the manufacturing industry, comparing current practices and data-driven projects. It aims better to understand these technologies and their potential benefits and challenges. The research identifies opportunities [...] Read more.
The manufacturing industry has embraced modern technologies such as big data, machine learning, and artificial intelligence. This paper examines AI and machine learning developments in the manufacturing industry, comparing current practices and data-driven projects. It aims better to understand these technologies and their potential benefits and challenges. The research identifies opportunities for innovative business solutions and explores industry practices and research results. The paper focuses on implementation rather than technical aspects, aiming to enhance knowledge in this area.
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Open Access August 20, 2022

Advancing Predictive Failure Analytics in Automotive Safety: AI-Driven Approaches for School Buses and Commercial Trucks

Abstract The recent evidence on AI in automotive safety shows the potential to reduce crashes and improve efficiency. Studies used AI techniques like machine learning and predictive analytics models to develop predictive collision avoidance systems. The studies collected data from various sources, such as traffic collision data and shapefiles. They utilized deep learning neural networks and 3D [...] Read more.
The recent evidence on AI in automotive safety shows the potential to reduce crashes and improve efficiency. Studies used AI techniques like machine learning and predictive analytics models to develop predictive collision avoidance systems. The studies collected data from various sources, such as traffic collision data and shapefiles. They utilized deep learning neural networks and 3D visualization techniques to analyze the data. However, there needs to be more research on AI in school bus and commercial truck safety. This paper explores the importance of AI-driven predictive failure analytics in enhancing automotive safety for these vehicles. It will discuss challenges, required data, technologies involved in predictive failure analytics, and the potential benefits and implications for the future. The conclusion will summarize the findings and emphasize the significance of AI in improving driver safety. Overall, this paper contributes to the field of automotive safety and aims to attract more research in this area.
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Open Access October 15, 2022

Big Data and AI/ML in Threat Detection: A New Era of Cybersecurity

Abstract The unrelenting proliferation of data, entwined with the prevalence of mobile devices, has given birth to an unprecedented growth of information obscured by noise. With the Internet of Things and myriad endpoint devices generating vast volumes of sensitive and critical data, organizations are tasked with extracting actionable intelligence from this deluge. Governments and enterprises alike, even [...] Read more.
The unrelenting proliferation of data, entwined with the prevalence of mobile devices, has given birth to an unprecedented growth of information obscured by noise. With the Internet of Things and myriad endpoint devices generating vast volumes of sensitive and critical data, organizations are tasked with extracting actionable intelligence from this deluge. Governments and enterprises alike, even under pressure from regulatory boards, have strived to harness the power of data and leverage it to enhance safety and security, maximize performance, and mitigate risks. However, the adversaries themselves have capitalized on the unequal battle of big data and artificial intelligence to inflict widespread chaos. Therefore, the demand for big data analytics and AI/ML for high-fidelity intelligence, surveillance, and reconnaissance is at its highest. Today, in the cybersecurity realm, the detection of adverse incidents poses substantial challenges due to the sheer variety, volume, and velocity of deep packet inspection data. State-of-the-art detection techniques have fallen short of detecting the latest attacks after a big data breach incident. On the other hand, computational intelligence techniques such as machine learning have reignited the search for solutions for diverse monitoring problems. Recent advancements in AI/ML frameworks have the potential to analyze IoT/edge-generated big data in near real-time and assist risk assessment and mitigation through automated threat detection and modeling in the big data and AI/ML domain. Industry best practices and case studies are examined that endeavor to showcase how big data coupled with AI/ML unlocks new dimensions and capabilities in improved vigilance and monitoring, prediction of adverse incidents, intelligent modeling, and future uncertainty quantification by data resampling correction. All of these avenues lead to enhanced robustness, security, safety, and performance of industrial processes, computing, and infrastructures. A view of the future and how the potential threats due to the misuse of new technologies from bandwidth to IoT/edge, blockchain, AI, quantum, and autonomous fields is discussed. Cybersecurity is again playing out at a pace set by adversaries with low entry barriers and debilitating tools. The need for innovative solutions for defense from the emerging threat landscape, harnessing the power of new technologies and collaboration, is emphasized.
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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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Open Access December 27, 2021

Sustainability in Construction: Exploring the Development of Eco-Friendly Equipment

Abstract The equipment used in the construction industry is usually associated with a high impact on the environment. Although sustainable design has shown to be a main player among the initiatives focused on reducing environmental impact, it has been driven by the workers and processes, leaving the equipment endeavors in more restrictive and later stages. The equipment industry has been a constant target [...] Read more.
The equipment used in the construction industry is usually associated with a high impact on the environment. Although sustainable design has shown to be a main player among the initiatives focused on reducing environmental impact, it has been driven by the workers and processes, leaving the equipment endeavors in more restrictive and later stages. The equipment industry has been a constant target of environmental standards and economic pressure, but the increasing technological development allows it to respond to sustainability and safety expectations while enhancing its performance. However, there are still several limitations that lead this sector to be one of the last to reach upgrading levels in terms of development. A study identified some gaps in the equipment design that require a greater effort to effectively support the workers and companies towards sustainable construction. This chapter is based on a study aiming to understand the consolidated knowledge of technologically sustainable equipment design and to identify the challenges left for its full development. The findings support the development of innovative eco-friendly equipment, taking into consideration sustainable materials and product guidelines, as well as green economy initiatives. It also supports complex system approaches and safety by design specificities to establish a corporate knowledge of sustainable equipment and align it with the new regulations of the construction industry. The chapter introduces the context of construction equipment in terms of new challenges when faced with the need to provide construction work with a greater capacity for safety, from an environmental and energy efficiency perspective, and within the paradigm of sustainability. Then, it presents the concept of sustainable equipment considering its principles, followed by a characterization of the agents involved in its life cycle.
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Open Access November 05, 2022

Application of Neural Networks in Optimizing Health Outcomes in Medicare Advantage and Supplement Plans

Abstract The growing complexity and variability in healthcare delivery and costs within Medicare Advantage (MA) and Medicare Supplement (Medigap) plans present significant challenges for improving health outcomes and managing expenditures. Neural networks, a subset of artificial intelligence (AI), have shown considerable promise in optimizing healthcare processes, particularly in predictive modeling, [...] Read more.
The growing complexity and variability in healthcare delivery and costs within Medicare Advantage (MA) and Medicare Supplement (Medigap) plans present significant challenges for improving health outcomes and managing expenditures. Neural networks, a subset of artificial intelligence (AI), have shown considerable promise in optimizing healthcare processes, particularly in predictive modeling, personalized treatment recommendations, and risk stratification. This paper explores the application of neural networks in enhancing health outcomes within the context of Medicare Advantage and Supplement plans. We review how deep learning models can be leveraged to predict patient risk, optimize resource allocation, and identify at-risk populations for preventive interventions. Additionally, we discuss the potential for neural networks to improve claims processing, reduce fraud, and streamline administrative burdens. By integrating various data sources, including medical records, claims data, and demographic information, neural networks enable more accurate and efficient decision-making processes. Ultimately, this approach can lead to better patient care, reduced healthcare costs, and improved satisfaction for beneficiaries of these programs. The paper concludes by highlighting the current limitations, ethical considerations, and future directions for AI adoption in the Medicare Advantage and Supplement sectors.
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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.
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Open Access December 17, 2024

Disaster Recovery and Application Security in Microservices: Exploring Kubernetes, Application Gateways, and Cloud Solutions for High Availability

Abstract Unfortunately, it is not disaster recovery, high availability, or cloud technologies that are inherently difficult to understand, but rather the action of implementing them for software applications that is difficult. The unique method of implementation for a microservices architecture is explored. Regulatory compliance doesn’t stop just because an effective disaster recovery requirement is tough [...] Read more.
Unfortunately, it is not disaster recovery, high availability, or cloud technologies that are inherently difficult to understand, but rather the action of implementing them for software applications that is difficult. The unique method of implementation for a microservices architecture is explored. Regulatory compliance doesn’t stop just because an effective disaster recovery requirement is tough to satisfy for infrastructure unique to sleek microservices. The high-availability location transparency bliss offered by a cloud solution is appealing to a security engineering department. However, the headache starts when the technology presents a handful of undesirable surprises that leak RESTful microservices to the outside world. These are the challenges that post-SOA cloud-resident robustly scalable applications will need to address and overcome. The goal is to explore several popular methods of accomplishing these tough objectives so that engineers can further research the most practical solution. An innovative implementation that leverages Service Bus relays as an elegant disaster recovery solution while enforcing a strict subnet where RESTful microservices solely live will be discussed. The curiosity lies in the atypical experimentation beyond basic gateways and the facility of using such simplicity while still answering day-to-day software development infrastructure challenges for applications we build. Resilient full-service web proxy service crashes and delivery latency switches by harnessing the microservices pod health will also be discussed [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.
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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 27, 2022

Advanced Optical Proximity Correction (OPC) Techniques in Computational Lithography: Addressing the Challenges of Pattern Fidelity and Edge Placement Error

Abstract The complexity of manufacturing photolithography has increased significantly. The increase in the level of integration has driven smaller feature-sized integrated circuits (ICs). The evolution in stepper technologies has been geometric. This has enabled the printing of printed ICs with a 45 nm feature size. Improvement in lithographic technology is moving towards 32 nm. This feature-size roadmap [...] Read more.
The complexity of manufacturing photolithography has increased significantly. The increase in the level of integration has driven smaller feature-sized integrated circuits (ICs). The evolution in stepper technologies has been geometric. This has enabled the printing of printed ICs with a 45 nm feature size. Improvement in lithographic technology is moving towards 32 nm. This feature-size roadmap poses many challenges to semiconductor manufacturing technology. Advanced photomask synthesis, high-NA steppers, and computational lithography are some examples of the solution space. Optical proximity correction (OPC) and model-based optical proximity correction (MBOPC) are subsets of this solution space. OPC has matured significantly and is the de facto solution for manufacturing photomasks up to the 65 nm node. The OPC technique has been further refined as model-based OPC and has been applied to advanced printing technology of 45 nm. The OPC solution for 45 nm technology has limitations of mask rule check (MRC) and manufacturability restrictions. These restrictions are inevitable in OPC and MBOPC solutions because of the limits in lithographic technology. The technology evolution towards 32 nm has equally challenged the non-linear treatment of wafer-level problems in OPC solutions. PBOPC has limitations in reducing the wafer optical proximity error of the granny's issue, edge placement, mask rule check, etc. PBOPC also has limitations in reducing the mask error enhancement factor. With all these challenges, it is still a formidable solution methodology to address the wafer and mask level issues. Such a formidable solution architecture can result in a limited number of PBOPC solutions. This text looks at the performance of advanced PBOPC features on exposure tuning and the effects of higher-order wafer and aerial image effects. This text also discusses the performance of continuous process correction of masks, lenses, and scanners.
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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

Advancements in Smart Medical and Industrial Devices: Enhancing Efficiency and Connectivity with High-Speed Telecom Networks

Abstract Emerging smart medical instruments combined with advanced smart industrial equipment facilitate the collection of vast volumes of critical data. This data not only enables significantly more accurate and cost-effective diagnosis and maintenance but also enriches the datasets available for AI algorithms, leading to improved insights and outcomes. The integration of high-speed and ultra-reliable [...] Read more.
Emerging smart medical instruments combined with advanced smart industrial equipment facilitate the collection of vast volumes of critical data. This data not only enables significantly more accurate and cost-effective diagnosis and maintenance but also enriches the datasets available for AI algorithms, leading to improved insights and outcomes. The integration of high-speed and ultra-reliable telecommunications infrastructure is crucial, as it supports the cloud model. This model allows for off-device aggregation in the cloud, which effectively offloads infrastructure demands and provides an extended runway for future technological improvements before the deployment of the next generation of devices. However, in certain scenarios, latency and bandwidth limitations present significant challenges. These limitations require that a substantial amount of AI and machine learning processing is conducted directly on the transmitted data, which places rigorous demands on both the processing subsystems and the communications links themselves. The current project directly addresses the accelerator side of this multifaceted issue. It will carry out comprehensive end-to-end demonstrations leveraging pilot 5G networks and telemedicine facilities, collaborating closely with major industry participants to showcase the capabilities and potential of this innovative technology. This collaborative effort is essential to pushing the boundaries of what is possible in smart medical instruments and industrial applications [1].
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Open Access December 26, 2021

Deep Learning Applications for Computer Vision-Based Defect Detection in Car Body Paint Shops

Abstract The major automated plants have produced large volumes of high-quality products at low cost by introducing various technologies, including robotics and artificial intelligence. The code of many defects on the surface of products is embedded with economic loss and sometimes functionality loss because products are rarely found with defects. Therefore, most items’ production is done based on [...] Read more.
The major automated plants have produced large volumes of high-quality products at low cost by introducing various technologies, including robotics and artificial intelligence. The code of many defects on the surface of products is embedded with economic loss and sometimes functionality loss because products are rarely found with defects. Therefore, most items’ production is done based on prediction and has an invisible fluctuation in production. The detection process for hidden defect images requires a lot of costs and needs to be supported for better progress and quality enhancement. Paint shop defects should be analyzed from color changes to detect defects effectively by preventing the variability of product demand over time. It is not easy to take visible light images without noise because the paint surfaces are glossy. A few parts of illumination and shadows remain in images, even in larger size and high-resolution images. The various painted surfaces are also needed to reflect both color and texture information in computer vision models to classify defects precisely. Several automated detection systems have been applied to paint shop inspections using lasers, infrared, x-ray, electrical, magnetic, and acoustic sensors. The chance of paint shop defects can be low, unnecessarily low, compared to clouds in the sky, but those chances impact defect functionalities. Thus, they are called as “lessons learned.” Lately, artificial intelligence has been introduced to the field of factory automation, and many defect detection feeds have found footsteps in machine learning and deep learning. Recent attempts at deep learning-based defect detection are proposing simple techniques using specific neural network architectures with big data. However, big data is still in its early stages, and significant challenges exist in normalizing and annotating such data. To get cost-efficient and timely solutions tailored to automotive paint shops, it might be a better consideration to combine deep learning solutions with traditional computer vision and more elaborate machine learning methods.
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Open Access December 27, 2019

Transforming the Retail Landscape: Srinivas’s Vision for Integrating Advanced Technologies in Supply Chain Efficiency and Customer Experience

Abstract Technological advances have had a transformative impact on the retail landscape. Challenges arise with guaranteeing technological changes lead to, rather than detract from, increased efficiency and positive experiences. First, integrating technology into the supply chain in an aggressive way is costly. It requires vast changes to existing systems and developments of cross-industry communication [...] Read more.
Technological advances have had a transformative impact on the retail landscape. Challenges arise with guaranteeing technological changes lead to, rather than detract from, increased efficiency and positive experiences. First, integrating technology into the supply chain in an aggressive way is costly. It requires vast changes to existing systems and developments of cross-industry communication protocols. Secondly, the public is often quick to reject technological changes or slow to become users. Finally, ensuring that technological advancements do not only benefit the top few retailers and are accessible to those of any size poses a challenge, as has been seen in the fate of only a handful of radical changes in retail technology. On the other hand, an integral aspect of technology, particularly that used for big data collection and processing, is that it can account for these and other variables. It can predict the success of ventures into modernizing or developing new systems and can identify more effective and efficient ways to do so. Of course, the concerns of job loss or technological monopoly still loom. But, it would seem, the continued advancement of technology in the retail landscape is inevitable.
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Open Access December 18, 2020

Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations

Abstract The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with [...] Read more.
The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with customers, when and how they want, to provide products and services with high levels of availability and zero defects, yet collaboratively do this to reduce transportation and production risks, often at the same time reducing operational costs and carbon footprints. Addressing these challenges, this work explores the cloud delivery capabilities of cloud-native architectures to enable the big data integrations and analytics that are needed to grow smarter supply chain ecosystems. This work describes what smart supply chain ecosystems are and how they are planning to grow their technology and integration capabilities. Discussing the industry-leading advanced and manufacturing technology producer ecosystems, it is explained how their technology collaboration and investment plans are driven by climate change and job creation goals. With these background models, the work examines the new digital reality of customer-driven experiences and economies that are demanding cloud-native and intelligent technology partnerships to deliver climate objectives, operational responsiveness, and compatibility to avoid trading economies of scale for economies of integration. The final objectives of this paper are to share key ideas about the need to balance the growing customer service direct-to-consumer business models with those for collaborative investment by market and industry. In doing this, it hopes to promote an intelligent supply chain ecosystem foundation for helping its different participating countries survive and thrive in the digital economy.
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Open Access November 24, 2022

Bridging Traditional ETL Pipelines with AI Enhanced Data Workflows: Foundations of Intelligent Automation in Data Engineering

Abstract Machine Learning (ML) and Artificial Intelligence (AI) are having an increasingly transformative impact on all industries and are already used in many mission-critical use cases in production, bringing considerable value. Data engineering, which combines ETL pipelines with other workflows managing data and machine learning operations, is also significantly impacted. The Intelligent Data [...] Read more.
Machine Learning (ML) and Artificial Intelligence (AI) are having an increasingly transformative impact on all industries and are already used in many mission-critical use cases in production, bringing considerable value. Data engineering, which combines ETL pipelines with other workflows managing data and machine learning operations, is also significantly impacted. The Intelligent Data Engineering and Automation framework offers the groundwork for intelligent automation processes. However, ML/AI are not the only disruptive forces; new Big Data technologies inspired by Web2.0 companies are also reshaping the Internet. Companies having the largest Big Data footprints not only provide applications with a Big Data operational model but also source their competitive advantage from data in the form of AI services and, consequently, impact the cost/performance equilibrium of ETL pipelines. All these technologies and reasons help explain why the traditional ETL pipeline design should adapt to current and emerging technologies and may be enhanced through artificial intelligence.
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Open Access December 27, 2021

Digital Transformation in Insurance: Migrating Enterprise Policy Systems to .NET Core

Abstract Migrating enterprise policy systems to .NET Core is a key objective of digital transformation in the Insurance IT ecosystem. This change directly addresses strategic drivers: enabling adoption of cloud-first development, resisting market pressure for more flexible and usable enterprise solutions, and preparing for changing demands from regulation and compliance. Phases of operational benefit [...] Read more.
Migrating enterprise policy systems to .NET Core is a key objective of digital transformation in the Insurance IT ecosystem. This change directly addresses strategic drivers: enabling adoption of cloud-first development, resisting market pressure for more flexible and usable enterprise solutions, and preparing for changing demands from regulation and compliance. Phases of operational benefit aligned with risk mitigation form the basis of the migration roadmap, with a strong focus on engaging all relevant stakeholders. Market pressure for a SEAMLESS user experience across ALL applications is a fundamental driver for Investment in digital transformation. Gaps remain in enterprise Operations, where Legislative and regulatory accountability Demand rigid and complex solutions that Liberty has not yet been able to provide. New risk-based capital requirements, Data-Sovereignty controls, Controls for sensitive Data in the Cloud, and new Audit requirements create a long list of challenges for the ecosystem that can no longer be Deferred. At the same time, Cross-organisational integration is becoming more important and integrating partners from the insurance supply-chain requires a much more flexible approach to development and Deployment. These factors combine to generate a credible case for accelerated digital investment with a focus on Migration to Cloud Platforms, with related Risk mitigation, Quality Improvements, and flexibility benefits that close Industry gaps.
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Open Access December 27, 2021

Digital Signal Processing Challenges in Financial Messaging Systems: Case Studies in High-Volume SWIFT Flows

Abstract Digital signal processing played a central role in two practical studies addressing challenging problems related to high-volume SWIFT financial messaging flows conveyed by the interconnected banking network. Technical methods and results are summarized here for each study, with the links to fundamental concepts underlying the work shown in parentheses. The first addresses real-time fraud [...] Read more.
Digital signal processing played a central role in two practical studies addressing challenging problems related to high-volume SWIFT financial messaging flows conveyed by the interconnected banking network. Technical methods and results are summarized here for each study, with the links to fundamental concepts underlying the work shown in parentheses. The first addresses real-time fraud detection, integrating pattern recognition and anomaly scoring procedures into a latency conscious processing system. The second focuses on minimizing delay without degrading detection accuracy, balancing speed and fidelity in filter design and control. Together, they demonstrate the potential for applying a DSP perspective to broad classes of problems encountered in processing financial messaging data. The first study extends work on a signal representation of financial messaging data streams and the associated noise characteristics by developing a vocabulary that translates real-world fraud patterns into DSP operations. Examination of the resulting choice of signal features, combined with considerations of detection speed, form the basis for details about implementing the pattern-recognition and anomaly-scoring tasks within a streaming-processing architecture.
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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 27, 2022

Survey of Automated Testing Frameworks and Tools for Software Quality Assurance: Challenges and Best Practices

Abstract Automated testing and software quality assurance (SQA) practices are essential for ensuring the reliability, scalability, and maintainability of modern software systems. This paper presents a review of widely used automated testing frameworks, including Driven, Data-Driven, Behavior-Driven Development (BDD), and Record/Playback approaches, outlining their methodologies, benefits, and limitations [...] Read more.
Automated testing and software quality assurance (SQA) practices are essential for ensuring the reliability, scalability, and maintainability of modern software systems. This paper presents a review of widely used automated testing frameworks, including Driven, Data-Driven, Behavior-Driven Development (BDD), and Record/Playback approaches, outlining their methodologies, benefits, and limitations in different development contexts. In parallel, it examines established SQA techniques such as Test-Driven Development, static analysis, and white-box testing, which provide systematic methods for defect detection and quality improvement. The study further examines the role of practical tools, such as Selenium, TestNG, and JUnit, in supporting test automation and validation activities. In addition to highlighting technical capabilities, the paper identifies common challenges faced in automation, including incomplete requirements, integration complexities, and maintaining evolving test suites. Recommended best practices are provided to address these issues, offering guidance for organizations seeking to strengthen their software testing processes through structured frameworks, adaptive techniques, and reliable automation tools.
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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 December 20, 2024

AI for Time Series and Anomaly Detection

Abstract Time series data are increasingly prevalent across domains such as finance, healthcare, manufacturing, and IoT, making accurate forecasting and anomaly detection critical for decision-making and system reliability. Traditional statistical methods (e.g., ARIMA, Holt-Winters) often fail to capture complex temporal dependencies and high-dimensional interactions inherent in modern time series. Recent [...] Read more.
Time series data are increasingly prevalent across domains such as finance, healthcare, manufacturing, and IoT, making accurate forecasting and anomaly detection critical for decision-making and system reliability. Traditional statistical methods (e.g., ARIMA, Holt-Winters) often fail to capture complex temporal dependencies and high-dimensional interactions inherent in modern time series. Recent advances in artificial intelligence particularly deep learning architectures such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), temporal convolutional networks (TCNs), graph neural networks (GNNs) and Transformers have demonstrated marked improvements in modeling both univariate and multivariate series, as well as in detecting anomalies that deviate from learned norms (Darban, Webb, Pan, Aggarwal, & Salehi, 2022; Chiranjeevi, Ramya, Balaji, Shashank, & Reddy, 2024) [1,2]. Moreover, ensemble techniques and hybrid signal-processing + deep-learning pipelines show enhanced sensitivity and adaptability in real-world anomaly detection scenarios (Iqbal, Amin, Alsubaei, & Alzahrani, 2024) [3]. In this work, we provide a unified survey and comparative analysis of AI-driven time series forecasting and anomaly detection methods, highlight key industrial application domains, evaluate performance trade-offs (e.g., accuracy vs. latency, supervised vs. unsupervised learning), and discuss emerging challenges including interpretability, data drift, real-time deployment on edge devices, and integration of causal reasoning. Our findings suggest that while AI approaches significantly outperform classical techniques in many settings, careful consideration of data characteristics, evaluation metrics and deployment environment remains essential for effective adoption.
Article
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

Designing Scalable Healthcare Data Pipelines for Multi-Hospital Networks

Abstract Healthcare is increasingly recognized as a data-intensive industry. Multi-hospital networks, among other organizations, face mounting operational and governance challenges because of rigid data-integration pipelines that support all data sources and destinations in the network. These pipelines have become difficult to modify, causing them to lag behind the changing needs of the clinical operation. [...] Read more.
Healthcare is increasingly recognized as a data-intensive industry. Multi-hospital networks, among other organizations, face mounting operational and governance challenges because of rigid data-integration pipelines that support all data sources and destinations in the network. These pipelines have become difficult to modify, causing them to lag behind the changing needs of the clinical operation. Scalable data-pipeline architectures better support clinical decision making, optimize hospital operations, ease data quality and compliance concerns, and contribute to improved patient outcomes. Meeting scalability goals requires breaking up monolithic data-integration pipelines into smaller decoupled components and aligning service-level agreements of pipeline components and source systems. Parallelization and adoption of distributed data-warehouse technology mitigate the burden of ingesting data into a multi-hospital network. However, latency requirements still warrant the construction of separate pipelines for data ingress from clinical devices, electronic health records, and external laboratory-information systems. Healthcare associations recommend near real-time data availability for a growing list of clinical and operational applications. Mishandling the real-time ingestion of data from clinical devices, in particular, compromises availability and performance. Scalable architectural patterns for real-time streaming Ingestion from heterogeneous data sources, transport processes, and back-end processing structures are detailed.
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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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Open Access December 18, 2023

Leveraging AI, ML, and Generative Neural Models to Bridge Gaps in Genetic Therapy Access and Real-Time Resource Allocation

Abstract This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies [...] Read more.
This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies to guide clinical translational research using methods such as retrospective bioinformatic analyses. Implementing them to a large-scale gene therapy database reveals that it is feasible to construct and apply well-performing interpretable, supervised learning models [2]. Preliminary evidence of machine learning approaches' statistical significance helps clinicians and biomedical researchers, market participants, and regulatory and economic experts derive relevant, practical applications, thereby enhancing the deployment of gene therapy and genomics to achieve positive, long-term growth for humanity while alleviating the ongoing worldwide economic burden precipitated by prolonged and recurring diseases. Deploying machine learning techniques to accelerate gene and cell therapy drug development and trials shall also mitigate the existing obstacle of limited patient access to emerging, transformative medical innovations such as gene therapy due to skyrocketing prices, which often herald gene therapy products as the world's most expensive medicines [3]. Moreover, in preventing patients from accessing effective, life-saving genetic medicines, there commonly exists a multidimensional access gap encompassing the availability, affordability, and quality or acceptability of these clinical treatments. The ensuing substantial gap has repeatedly been documented and mainly emanates from differential institutional and socio-political choices around resource allocation at international and domestic levels [4]. Particularly, it is also due to the stringent licensure and regulatory approval processes underpinned by insufficient evidence for novel safety and clinical efficacy profiles for genetic therapies in multiple micro-local diagnoses and subpopulations. We believe that a higher likelihood of gene therapy adoption shall result when the clinical evidence path contains adequate representation from the most diverse and relevant patient populations [5].
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