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Open Access February 06, 2026

Predictive Modeling of Public Sentiment Using Social Media Data and Natural Language Processing Techniques

Abstract Social media platforms like X (formerly Twitter) generate vast volumes of user-generated content that provide real-time insights into public sentiment. Despite the widespread use of traditional machine learning methods, their limitations in capturing contextual nuances in noisy social media text remain a challenge. This study leverages the Sentiment140 dataset, comprising 1.6 million labeled [...] Read more.
Social media platforms like X (formerly Twitter) generate vast volumes of user-generated content that provide real-time insights into public sentiment. Despite the widespread use of traditional machine learning methods, their limitations in capturing contextual nuances in noisy social media text remain a challenge. This study leverages the Sentiment140 dataset, comprising 1.6 million labeled tweets, and develops predictive models for binary sentiment classification using Naive Bayes, Logistic Regression, and the transformer-based BERT model. Experiments were conducted on a balanced subset of 12,000 tweets after comprehensive NLP preprocessing. Evaluation using accuracy, F1-score, and confusion matrices revealed that BERT significantly outperforms traditional models, achieving an accuracy of 89.5% and an F1-score of 0.89 by effectively modeling contextual and semantic nuances. In contrast, Naive Bayes and Logistic Regression demonstrated reasonable but consistently lower performance. To support practical deployment, we introduce SentiFeel, an interactive tool enabling real-time sentiment analysis. While resource constraints limited the dataset size and training epochs, future work will explore full corpus utilization and the inclusion of neutral sentiment classes. These findings underscore the potential of transformer models for enhanced public opinion monitoring, marketing analytics, and policy forecasting.
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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 February 15, 2025

Knowledge related to umbilical cord care among mothers of neonates attending outpatient departments in Sherpur district, Bangladesh

Abstract Background: Proper umbilical cord care prevents neonatal infections and reduces neonatal mortality. Despite global recommendations for evidence-based cord care practices, traditional beliefs, and inadequate maternal knowledge often lead to unsafe practices, particularly in low-resource settings like Bangladesh. This study aimed to assess the understanding of umbilical cord care among [...] Read more.
Background: Proper umbilical cord care prevents neonatal infections and reduces neonatal mortality. Despite global recommendations for evidence-based cord care practices, traditional beliefs, and inadequate maternal knowledge often lead to unsafe practices, particularly in low-resource settings like Bangladesh. This study aimed to assess the understanding of umbilical cord care among mothers of neonates in Sherpur District, Bangladesh, and identify factors associated with knowledge levels. Methods: A descriptive cross-sectional study was conducted from July to October 2020 at Sherpur Sadar Hospital. A total of 193 mothers of neonates were recruited using a non-randomized purposive sampling method. Data was collected through a pre-tested, semi-structured, interviewer-administered questionnaire. Knowledge levels were categorized as "Good" (>6) or "Poor" (≤6) based on responses to 10 structured questions. Statistical analyses, including chi-square tests and crude odds ratios (COR), were performed to identify socio-demographic factors associated with knowledge levels. Results: Of the 193 participants, 48.7% demonstrated "Good" knowledge, while 51.3% had "Poor" knowledge. Education level (p = 0.01), occupation (p = 0.02), family type (p < 0.001), and family size (p = 0.04) were significantly associated with knowledge levels. Mothers with higher education and those from joint families exhibited better knowledge. However, 28.5% of respondents were unaware of the typical umbilical cord-shedding timeframe, and 44% could not identify signs of infection. Unsafe practices, such as using medications (14.5%) or hot compression (7.2%) for drying the cord, were reported. Conclusion: The study reveals significant gaps in maternal knowledge regarding umbilical cord care in Sherpur District, driven by socio-demographic disparities and cultural practices. Targeted health education programs, emphasizing evidence-based cord care practices and leveraging local social structures, are urgently needed to improve neonatal health outcomes in similar resource-limited settings. Future research should evaluate the effectiveness of these interventions to inform policy and practice.
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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 December 03, 2024

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

Abstract Background: Diabetes is a chronic global health issue that requires effective management to improve patient outcomes and quality of life. Nursing education plays a critical role in empowering diabetic patients with self-management skills. Aim This systematic review evaluates the impact of diabetes-focused nursing education on patient outcomes and quality of life. Methods: This study [...] Read more.
Background: Diabetes is a chronic global health issue that requires effective management to improve patient outcomes and quality of life. Nursing education plays a critical role in empowering diabetic patients with self-management skills. Aim This systematic review evaluates the impact of diabetes-focused nursing education on patient outcomes and quality of life. Methods: This study uses PRISMA guidelines and a systematic approach to identify and evaluate relevant literature. Results and Discussion: Among the 14 studies reviewed, eight emphasized self-management education, while four incorporated multidisciplinary approaches. Findings consistently demonstrated that structured nursing education programs significantly improved self-management behaviors, glycemic control, and patient knowledge. For instance, nurse-led self-management programs resulted in substantial enhancements in self-care skills and diabetes-related knowledge. Moreover, interventions that combined health education with psychological support were particularly effective, leading to better blood glucose control and increased adherence to treatment. Studies that examined quality of life reported reductions in anxiety, improved lifestyle habits, and better overall self-management. These findings highlight the multifaceted benefits of nursing education, suggesting that structured, supportive programs positively impact both clinical and psychological aspects of diabetes care. Conclusion: The review emphasizes the value of comprehensive nursing education that integrates both clinical guidance and psychological support for holistic diabetes management. Implications: Ongoing professional development and culturally sensitive education programs are recommended to address the diverse needs of diabetic patients. Future research should investigate the long-term effects of nursing education and explore innovative strategies to enhance diabetes management outcomes.
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Systematic Review
Open Access November 15, 2024

Education Does Not Equally Increase Financial Well-being for All

Abstract Background: Financial well-being is a key domain of overall well-being, encompassing an individual's ability to meet financial obligations, secure their financial future, and maintain a sense of financial freedom. Education is often viewed as a critical pathway to enhancing financial well-being. However, the returns of education on financial well-being are not uniform across racial, ethnic, [...] Read more.
Background: Financial well-being is a key domain of overall well-being, encompassing an individual's ability to meet financial obligations, secure their financial future, and maintain a sense of financial freedom. Education is often viewed as a critical pathway to enhancing financial well-being. However, the returns of education on financial well-being are not uniform across racial, ethnic, and nativity groups. The theory of Minorities’ Diminished Returns (MDRs) suggests that the positive effects of education on outcomes such as income and financial security are weaker for marginalized groups, including Black individuals, Latinos, and immigrants. Objective: This study examines the diminished returns of education on financial well-being among Black, Latino, and immigrant populations in the United States. We aim to investigate how structural inequalities contribute to weaker financial returns on education for these groups compared to their White and native-born counterparts. Methods: We utilized data from the Understanding America Study (UAS 2014) to conduct a cross-sectional analysis of adult respondents. The study assessed financial well-being outcomes (e.g., income, savings, and financial security) and their association with educational attainment across racial, ethnic, and nativity groups. Regression models were employed to test for interaction effects between education and race/ethnicity/nativity, adjusting for sociodemographic factors such as age, gender, employment, and family structure. Results: Our analysis included 8,121 individuals. The mean age of the respondents was 48 years (SD = 16). High education was associated with higher financial well-being (B = 1.284, 95% CI: 1.157, 1.410). The interaction terms between education and immigrant status (B = -0.507, 95% CI: -0.930, -0.084), race (Black) (B = -0.770, 95% CI: -1.208, -0.331), and ethnicity (Hispanic) (B = -0.589, 95% CI: -0.969, -0.210) were all significant, suggesting that immigrant, Black, and Hispanic individuals experience diminished returns on education in terms of financial well-being, relative to US-born non-Hispanic White individuals. The significant negative interactions between education and minority statuses (Black, Hispanic, and immigrant) indicate that while education generally improves financial well-being, the magnitude of this improvement is substantially smaller for these marginalized groups. Conclusion: Understanding how education translates to financial well-being across different racial, ethnic, and nativity groups is critical for addressing persistent financial disparities.
Article
Open Access April 25, 2024

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

Abstract Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a [...] Read more.
Considering the current climate conjuncture, it is a consensus that green spaces in large contemporary urban areas should be increasingly more numerous and simultaneously more sustainable, being adapted to the edaphoclimatic conditions of the site, and with reduced maintenance costs. In the case of Algarve, where this research is focused, the current and future water availability, assumes a preponderant role in the design of green spaces, where the demands mentioned above can only be achieved if we deviate from conventional landscape practices and develop holistic strategies of management and design of green spaces that integrate different areas of knowledge and not merely aesthetic issues. In this context, this work aims to develop more adapted and resilient landscaping practices to the current and future climatic conditions of the Algarve, thus reinventing the concept of landscaping in the south of Portugal. Thus, it will be of paramount importance to develop more sustainable, resilient and tolerant projects to worsening ecological conditions, particularly limitations associated with water availability. The xeromorphic succulents are a group of plants with mechanisms of tolerance to water stress and with very specific characteristics, being succulence one of the most relevant. Studies on these mechanisms are increasingly frequent, which may prove to be very advantageous in our adaptation to future climatic challenges. In addition, their ornamental potential is enormous, since their bold forms and colours are a veritable sensory explosion, which, combined with their morphological and physiological characteristics, make them the species of choice in the reconversion or creation of xerophytic gardens.
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Open Access March 08, 2024

Analysis of Toxic Contaminants in Agriculture: Educational Strategies to Avoid Their Influence on Food

Abstract A diagnosis of the current state of the crops is made regarding the control of weeds, use of pesticides, fungicides; with an assessment of the state of the plant covers in the crop, and its control by different types of herbicides, and we detected a high loss of biological diversity; and some of these compounds are mentioned due to their high toxicity. Similarly, the use of pesticides and [...] Read more.
A diagnosis of the current state of the crops is made regarding the control of weeds, use of pesticides, fungicides; with an assessment of the state of the plant covers in the crop, and its control by different types of herbicides, and we detected a high loss of biological diversity; and some of these compounds are mentioned due to their high toxicity. Similarly, the use of pesticides and fungicides is discussed due to their repercussions on health. In order to avoid the unhealthiness caused by the applications of these products, phytosanitary and educational control strategies are proposed; promoting the inspection of fruit and vegetable markets, and modifying the contents in higher professional and university education. To this end, we propose an active teaching methodology, through which the student acquires skills and responsibility for the use of chemical agents in agriculture, which serves to prevent the entry of these contaminants into the food chain. Of the different polluting chemical agents, in the case of herbicides we highlight Oxyfluorfen and Glyphosate with high toxicity and whose consumption is very high. In the case of pesticides and fungicides, among others are Organochlorine compounds, which have been detected in blood, and Carbon Tetrachloride and Chloroform, considered potent hepatotoxic and neurotoxic. The basic objective of this study is the awareness and acquisition of knowledge by future teachers about polluting agents, which will subsequently have an impact on society.
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Open Access March 05, 2024

Risk Factors of Vitamin D Insufficiency/Deficiency among a sample of Egyptian Females in Child Bearing Period

Abstract Background: Vitamin D plays an important role in the development of bone health and possibly non-communicable diseases. Arab countries had made their own national studies to assess serum vitamin D level among women, yet in Egypt there is no national survey done. The aim of the current study was to identify risk factors affecting vitamin D level among Egyptian females during the [...] Read more.
Background: Vitamin D plays an important role in the development of bone health and possibly non-communicable diseases. Arab countries had made their own national studies to assess serum vitamin D level among women, yet in Egypt there is no national survey done. The aim of the current study was to identify risk factors affecting vitamin D level among Egyptian females during the child-bearing period. Subjects and methods: A total of 100 healthy adult females in their childbearing period who were attending a Family Medicine Center were included in our study. The age of the included women ranged from 19 to 49 years old with a mean age of 34 (SD 8.47) years. The majority of participants had deficiency (43%) and insufficiency (13%) of vitamin D level. Results: Unemployed women were more likely to have vitamin D deficiency than employed women (P<0.05). Participants who were exposed to sun ˃30 minutes/day were more likely to have sufficient vitamin D level (P<0.05). All participants who consume fish ≥3 times/week had sufficient vitamin D level. Therefore, there was a statistically significance association between a number of consuming fish/week and vitamin D3 level groups. Also, there was statistically significant association between number of consumed milk cups/day and vitamin D3 level groups. All participants who drink 2 cups of milk have sufficient vitamin D level. No statistically significance association was found between using multivitamins and vitamin D3 level groups. Conclusion: Unemployment, low fish consumption and infrequent sun exposure were significant risk factors for vitamin D deficiency. Future research on the role of multivitamins supplements in improving vitamin D nutrition is warranted.
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 16, 2023

The Black-Scholes Exotic Barrier Option Pricing Formula

Abstract The paper considers a specific type of such financial instrument as an option, namely an exotic barrier call option of the European type. Exotic options are gaining popularity among ordinary investors due to the development of information and telecommunication technologies, thanks to which such specific financial instruments as options have become readily available. We investigate the hedging [...] Read more.
The paper considers a specific type of such financial instrument as an option, namely an exotic barrier call option of the European type. Exotic options are gaining popularity among ordinary investors due to the development of information and telecommunication technologies, thanks to which such specific financial instruments as options have become readily available. We investigate the hedging problem for such options with some restrictions on the payment function and the availability of dividend payment on a risky asset in the classical Black-Scholes model. An analogue of the Black-Scholes formula for the mentioned variant of the exotic barrier is proved. In the future, it is planned to generalize the obtained results for put options and for more general payment functions.
Article
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 February 04, 2023

A framework for evaluation of improvement opportunities for environmental impacts on construction works using life cycle assessment and value stream mapping concepts: offsite and onsite building construction

Abstract There have been various concerns about the environmental impact of construction works. This generates a need to take a more proactive approach in evaluating the environmental impacts of construction operations and further explore ways to reduce the environmental impacts. Enormous opportunities exist within the building industry to achieve a reduction in greenhouse gas emissions. The aim of the [...] Read more.
There have been various concerns about the environmental impact of construction works. This generates a need to take a more proactive approach in evaluating the environmental impacts of construction operations and further explore ways to reduce the environmental impacts. Enormous opportunities exist within the building industry to achieve a reduction in greenhouse gas emissions. The aim of the study is to develop a framework for the evaluation of improvement opportunities for environmental impact for onsite and offsite building construction works using life cycle assessment (LCA) and value-stream-mapping concepts. Various tools for LCA exist; however, there is a need for the development of an LCA framework and improvement opportunities that can be localized to various communities to evaluate improvement opportunities for building construction. This study conducts a review of methods to evaluate the LCA of buildings on local construction sites. A procedure for establishing improvement opportunities is also developed. Based on the author’s knowledge and experience, including site visits, using value stream mapping (VSM) techniques, a conceptual framework of the present state map and future state map of residential construction works was developed. The study presents a procedure for the evaluation of improvement opportunities for the environmental impacts of construction operations.
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Open Access November 30, 2022

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

Abstract Today, the presentation of a three-dimensional model of real-world features is very important and widely used and has attracted the attention of researchers in various fields, including surveying and spatial information systems, and those interested in the three-dimensional reconstruction of buildings. The building is the key part of the information in a three-dimensional city model, so extracting [...] Read more.
Today, the presentation of a three-dimensional model of real-world features is very important and widely used and has attracted the attention of researchers in various fields, including surveying and spatial information systems, and those interested in the three-dimensional reconstruction of buildings. The building is the key part of the information in a three-dimensional city model, so extracting and modeling buildings from remote sensing data is an important step in building a digital model of a city. LiDAR technology due to its ability to map in all three modes of one-dimensional, two-dimensional, and three-dimensional is a suitable solution to provide hyperspectral and comprehensive images of the building in an urban environment. In this review article, a comprehensive review of the methods used in identifying buildings from the past to the present and appropriate solutions for the future is discussed.
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Review Article
Open Access May 04, 2022

First contribution to the ethnobotanical knowledge in the Peloritani Mounts (NE Sicily)

Abstract This paper presents the results of an ethnobotanical survey carried out in the Peloritani Mounts (NE Sicily). This investigation aims to illustrate the first record known of the traditional uses of plants in this territory through the case study of a small rural suburb named Tipoldo (Messina). The data were collected from 20 informants over the age of 66, who were mainly farmers and shepherds, and were analyzed using two quantitative ethnobotanical indicators. For each plant was reported the Latin name, life form, vernacular name, parts used, ethnobotany category, claimed uses, status, and their relative indexes. Based on semi-structured interviews carried out between February 2017 and May 2018, a listing was compiled of 126 wild plants belonging to 51 families, the most predominant being Asteraceae (19 species) and Fabaceae (15 species). The most common ethnobotanical uses reported are medicinal (30%) and agropastoral use (19%). Among the preparation methods indicated, leaves (39%) were the most commonly used parts of the plants, while the species most mentioned in connection with ethnobotanical applied indexes were: Crepis vesicaria, Dittrichia graveolens, Hypochaeris radicata, Salvia Rosmarinus and Clinopodium nepeta [...] Read more.
This paper presents the results of an ethnobotanical survey carried out in the Peloritani Mounts (NE Sicily). This investigation aims to illustrate the first record known of the traditional uses of plants in this territory through the case study of a small rural suburb named Tipoldo (Messina). The data were collected from 20 informants over the age of 66, who were mainly farmers and shepherds, and were analyzed using two quantitative ethnobotanical indicators. For each plant was reported the Latin name, life form, vernacular name, parts used, ethnobotany category, claimed uses, status, and their relative indexes. Based on semi-structured interviews carried out between February 2017 and May 2018, a listing was compiled of 126 wild plants belonging to 51 families, the most predominant being Asteraceae (19 species) and Fabaceae (15 species). The most common ethnobotanical uses reported are medicinal (30%) and agropastoral use (19%). Among the preparation methods indicated, leaves (39%) were the most commonly used parts of the plants, while the species most mentioned in connection with ethnobotanical applied indexes were: Crepis vesicaria, Dittrichia graveolens, Hypochaeris radicata, Salvia Rosmarinus and Clinopodium nepeta. These practices are presently performed only by a few elderly people, who rely on plants solely for a few activities. Furthermore, ethnobotanical studies are fundamental to clear up the knowledge on the traditional plant uses that are still current in this part of Sicily, to preserve this cultural heritage for future generations.
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Open Access December 15, 2021

Dissemination and Exploitation of Regional Meteo-Hydrological Datasets through Web-based Interactive Applications: The SOL System Case Study

Abstract The effects of climate change are already being felt in several parts of the World. Variability of changing rainfall intensity, drought and weather patterns contribute to determining the vulnerability of many human activities such as agriculture. In the next future, climate change considerations will depend on having appropriate strategies such as strengthen implementation agencies working in a [...] Read more.
The effects of climate change are already being felt in several parts of the World. Variability of changing rainfall intensity, drought and weather patterns contribute to determining the vulnerability of many human activities such as agriculture. In the next future, climate change considerations will depend on having appropriate strategies such as strengthen implementation agencies working in a coordinated manner and with a data-driven approach in order to ensure monitoring, reporting and data verification. In this context, national and regional meteorological Services are facing with high demand for timely and quality information, services and products. A web-based interactive application with the aim of disseminating meteo-hydrological information at regional scale is described in this paper. The web application is built on a relational database and client-side programming has been used for implementing the user interface and controlling the web page behavior. The combination of PHP (Hypertext Preprocessor, a general-purpose scripting language, especially suited to server-side web development) and JavaScript (high-level object-oriented scripting language, nowadays the dominant client-side scripting language of the Web) has been chosen for this reason, since such software is free to use for everyone. The SOL system, developed on behalf of Marche region, Italy, was chosen as a case study, due to its multi-source data framework and because of the processing and public dissemination of several ad-hoc data elaborations.
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Case Study
Open Access August 14, 2021

Syntheses of Novel Coordination Polymers Using Bis-Imidazole Ligand Having Steric Hindrance and Methoxy Group

Abstract Three novel coordination polymers {[Cu2(bitbu-OMe)4(SO4)2]·6MeOH}n (1), {[Co2(bitbu-OMe)4(NCS)4]0.5·2DMF}n (2), {[Co(bitbu-OMe)2(NCS)2]·2MeOH}n (3) (bitbu-OMe = 1,1’-[(5-tert-butyl-2-methoxybenzene-1,3-diyl)dimethanediyl]bis(1H [...] Read more.
Three novel coordination polymers {[Cu2(bitbu-OMe)4(SO4)2]·6MeOH}n (1), {[Co2(bitbu-OMe)4(NCS)4]0.5·2DMF}n (2), {[Co(bitbu-OMe)2(NCS)2]·2MeOH}n (3) (bitbu-OMe = 1,1’-[(5-tert-butyl-2-methoxybenzene-1,3-diyl)dimethanediyl]bis(1H-imidazole)) are synthesized through a slow evaporation method using solvothermal technique of CuSO4·5H2O or Co(SCN)2 with bitbu-OMe. X-ray diffraction analysis results reveal that 1, 2, and 3 have similar two-dimensional layer networks. The study of the effect of the methoxy group in bitbu-OMe towards the stability of ligand conformation in obtained coordination polymers becomes necessary to be conducted in the future to unveil the reason for conformation similarity of ligand in coordination polymers.
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Article
Open Access May 26, 2021

Application of Stochastic Dominance in Hedging Decision during COVID-19 Pneumonia Emergency Events

Abstract With the rise of virtual currencies, Bitcoin has gradually become one of the safe-haven tools in the financial market. During situations of worldwide outbreaks of an infectious disease, investors pay special attention to asset allocation. Therefore, this study discusses the outbreak of COVID-19 in China, which has affected financial markets and has led investors to avoid risks through investing in [...] Read more.
With the rise of virtual currencies, Bitcoin has gradually become one of the safe-haven tools in the financial market. During situations of worldwide outbreaks of an infectious disease, investors pay special attention to asset allocation. Therefore, this study discusses the outbreak of COVID-19 in China, which has affected financial markets and has led investors to avoid risks through investing in traditional financial products or Bitcoin. We found that during the time of the COVID-19 pneumonia, Bitcoin and gold futures were used for hedging transactions in the face of unstable Chinese market conditions and under the pursuit of investors' maximization of return on investment. Furthermore, there was also no difference between hedging through Bitcoin or gold futures; however, investors had a preference to invest in gold futures for hedging under the assumption that an investor was absolutely risk averse.
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Article
Open Access December 22, 2025

Reimagining Mathematical Modeling for a Responsive and Integrated Future in Infectious Disease Epidemiology

Abstract Mathematical modeling plays a central role in infectious disease epidemiology, shaping outbreak response strategies and informing public health policy. The COVID-19 pandemic demonstrated the value of these models but also exposed persistent limitations related to data fragility, lack of transparency, limited stakeholder engagement, and insufficient consideration of social and political contexts. [...] Read more.
Mathematical modeling plays a central role in infectious disease epidemiology, shaping outbreak response strategies and informing public health policy. The COVID-19 pandemic demonstrated the value of these models but also exposed persistent limitations related to data fragility, lack of transparency, limited stakeholder engagement, and insufficient consideration of social and political contexts. Rather than critiquing modeling as a discipline, this perspective argues for a reorientation of infectious disease modeling toward a more responsive, equity-centered, and participatory paradigm. We propose a conceptual framework built on three interrelated principles: adaptability through real-time data integration, transparency via open-source and reproducible practices, and relevance through interdisciplinary and co-produced model design. Drawing on illustrative examples from COVID-19 and dengue control efforts, we highlight how integrating behavioral dynamics, local knowledge, and policy feedback can improve model usefulness and public trust. Reconceptualizing models as dynamic systems of inquiry rather than static forecasting tools can enhance decision-making and promote more equitable and effective responses to future public health emergencies.
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Brief Review
Open Access November 12, 2025

Effect of Sleep Deprivation on Executive Functioning Among Young Adults: Meta-Analysis

Abstract Background: Sleep deprivation is increasingly prevalent among young adults due to academic, occupational, and social demands, making them susceptible to circadian disruption. Executive functioning—encompassing working memory, inhibitory control, and cognitive flexibility is essential for academic and professional success. This meta-analysis quantifies the effect of sleep deprivation on [...] Read more.
Background: Sleep deprivation is increasingly prevalent among young adults due to academic, occupational, and social demands, making them susceptible to circadian disruption. Executive functioning—encompassing working memory, inhibitory control, and cognitive flexibility is essential for academic and professional success. This meta-analysis quantifies the effect of sleep deprivation on executive functioning in healthy young adults. Practical Implications: These findings highlight the need for evidence-based interventions such as university-level sleep education programs, flexible academic scheduling, and workplace policies promoting adequate sleep to optimize cognitive performance and productivity among young adults. Methods: Following PRISMA 2020 guidelines, PubMed, Scopus, PsycINFO, and Web of Science were searched (January 2000–March 2024) for studies assessing acute (<6 hours sleep or ≥24 hours total deprivation) or chronic (<6 hours/night over multiple days) sleep deprivation in young adults. Outcomes included validated executive function tests (e.g., Stroop, N-Back). Random-effects meta-analysis (Hedges’ g) was conducted using R (version 4.3.2) with metafor/meta packages. Heterogeneity (I², Q-test), sensitivity (leave-one-out), and publication bias (funnel plot, Egger’s test) were evaluated. Results: Out of 2,478 screened studies, 39 met inclusion criteria (n=4,578). Sleep deprivation had a moderate-to-large detrimental effect on executive functioning (Hedges’ g = -0.62, 95% CI [-0.78, -0.45], p<0.001). Subdomain analysis revealed greatest impairment in working memory (g = -0.71), followed by inhibitory control (g = -0.59) and cognitive flexibility (g = -0.49) (all p<0.001). Moderate heterogeneity was present (I² = 58%), with results robust to sensitivity analysis. Egger’s test indicated no significant publication bias (p=0.22). Interpretation: Sleep deprivation significantly impairs executive functioning in young adults, especially working memory. Interventions improve sleep may enhance cognitive performance and should be integrated into public health strategies and educational policies. Future research should assess chronic restriction and individual vulnerability factors.
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Meta-Analysis
Open Access October 01, 2025

Place-Based Diminished Returns of Economic Resources in Rural America: A Framework for Understanding Geography-Conditioned Inequality

Abstract Background: Socioeconomic status (SES) is widely associated with improved health, behavioral, and educational outcomes. However, emerging research suggests that these benefits are not uniformly experienced across populations or contexts. The theory of Marginalization-related Diminished Returns (MDRs) has primarily focused on racial and ethnic disparities, showing that individuals from [...] Read more.
Background: Socioeconomic status (SES) is widely associated with improved health, behavioral, and educational outcomes. However, emerging research suggests that these benefits are not uniformly experienced across populations or contexts. The theory of Marginalization-related Diminished Returns (MDRs) has primarily focused on racial and ethnic disparities, showing that individuals from racially marginalized groups often experience weaker protective effects of SES. There is a lack of evidence on geography—particularly rural residence—as a moderator of SES effects. Objective: This review explores how place, especially rural contexts in the U.S., shapes the extent to which SES translates into improved outcomes. We extend the MDRs framework to include place-based and geography-based marginalization, arguing that even among non-Hispanic White populations, rural residence can lead to diminished returns on education, income, and other forms of capital. Content: Drawing on theoretical models such as Fundamental Cause Theory and Bronfenbrenner’s Ecological Systems Theory, and synthesizing empirical findings from studies of academic achievement, substance use, and educational aspirations, this review highlights how structural disadvantages in rural areas weaken the effectiveness of individual and family-level resources. Conclusion: Rural health and educational disparities are not solely due to a lack of resources but may also reflect systemic conditions that erode the value of existing resources. Policy interventions must be place-aware and address the contextual constraints that limit opportunity. Future research should more explicitly test how geography moderates the effects of SES across a range of outcomes and populations.
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Perspective Article
Open Access September 18, 2025

Does Stress Explain the Effects of Sexual/Gender Minority Status on Children’s Behavioral and Emotional Risk?

Abstract Background: Sexual and gender minority (SGM) youth are at elevated risk for adverse mental health and substance use outcomes. Stressors such as family conflict, discrimination, and trauma have been suggested as possible mediators of these disparities. Aims: This study examined whether family conflict, discrimination, and trauma mediate the associations between SGM identity and [...] Read more.
Background: Sexual and gender minority (SGM) youth are at elevated risk for adverse mental health and substance use outcomes. Stressors such as family conflict, discrimination, and trauma have been suggested as possible mediators of these disparities. Aims: This study examined whether family conflict, discrimination, and trauma mediate the associations between SGM identity and adverse outcomes, including suicide attempt, major depressive disorder (MDD), nicotine use, and marijuana use. Methods: Participants were children from the Adolescent Brain Cognitive Development (ABCD) study. SGM identity was reported at baseline, while outcomes included past MDD and suicide attempts as well as future nicotine and marijuana use. Structural equation modeling (SEM) was used to test both direct and indirect pathways linking SGM identity to mental health and behavioral outcomes. Results: No significant mediation was found through family conflict, discrimination, or trauma. Instead, effects of SGM identity were primarily direct: SGM youth had higher odds of past suicide attempts and MDD, as well as future marijuana use, but not future nicotine use. Stressor variables, however, were independently associated with outcomes. Discrimination predicted all outcomes; trauma was positively associated with suicide, nicotine, and marijuana use but not MDD; and family conflict predicted all outcomes except MDD. Conclusion: Family conflict, discrimination, and trauma did not mediate SGM disparities in mental health and substance use, but each emerged as an independent predictor of risk. These findings highlight the complexity of mechanisms underlying SGM-related disparities and suggest the need for future research to explore additional pathways and contextual influences.
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Open Access September 07, 2025

Beyond the Brain: Exploring the Future of Neural Technology with Neuralink

Abstract This paper is a general summary of Neuralink, a revolutionary technology set to elevate human life and neurology. Neuralink itself is a key testimonial to the evolution of neuroscience and even brain-computer interfaces, otherwise known as BCI. The original few BCI experiments were conducted on monkeys in the 1960s and 70s, in which the experiment itself narrowed down and understood brain function [...] Read more.
This paper is a general summary of Neuralink, a revolutionary technology set to elevate human life and neurology. Neuralink itself is a key testimonial to the evolution of neuroscience and even brain-computer interfaces, otherwise known as BCI. The original few BCI experiments were conducted on monkeys in the 1960s and 70s, in which the experiment itself narrowed down and understood brain function as a general concept [3]. More specifically, "Work on these technologies began in the early 1970s, led by computer science professor J.J. Vidal at UCLA" [12]. Science itself progresses day by day, growing rapidly in recent years, especially in neuroscience, something highlighted as a focal point in the previous statement. Moreover, recently we have seen technology go on a rampant rise in terms of popularity, inventions, and changes to the human lifestyle. The interactions humans had with technology initially developed with wearables or wearable technology, such as Apple Watches, AirPods, and Fitbits, and now they have even prompted advancements in brain-computer interfaces. Technology has had the power to advance science, but now it’s capable of changing the human mind. Going back to Neuralink, it’s a startup that began its initiative in 2016 and was approved by the FDA for clinical trials in May of 2023, ready to create a wave of change in the field of neuroscience [6]. The foremost baffling thing is how this chip plans on being placed in the somatosensory system. The somatosensory system is a part of the brain that deals with motor actions, recognition, and perception, and applying Neuralink in this area should supposedly allow for cures and treatment of amyotrophic lateral sclerosis, Parkinson’s disease, spinal cord injuries, epilepsy, autism, depression, schizophrenia, and possibly blindness [9]. Neuralink is deemed to lead to a life-changing future, and with co-founders and investors like Elon Musk, there is a lot to know about this piece of technology.
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Review Article
Open Access September 02, 2025

Listening at the End: A Review of Communication and Compassion in Palliative Settings (2025)

Abstract This review explores the role of listening as a foundational component of communication and compassionate care in palliative settings. Drawing from ten scholarly articles published in 2025, the study examines how listening affects the experiences of patients, families, and healthcare providers. The findings emphasize that listening is not only a professional skill but a human act that reduces [...] Read more.
This review explores the role of listening as a foundational component of communication and compassionate care in palliative settings. Drawing from ten scholarly articles published in 2025, the study examines how listening affects the experiences of patients, families, and healthcare providers. The findings emphasize that listening is not only a professional skill but a human act that reduces suffering, promotes dignity, and strengthens trust, especially where resources or standardized protocols are lacking. The review is organized into four main areas: the importance of listening in clinical decision making; its role in emotional support and team communication; its contribution to preserving patient dignity and comfort; and its impact on family involvement and closure. The study calls for future research to develop standardized tools for measuring listening in palliative care and to explore how cultural, economic, and technological contexts shape listening practices. Ultimately, the review concludes that listening must be at the heart of ethical, patient-centered care during the final stages of life.
Brief 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 25, 2025

Deconstructing Soccer Footwear: An Anatomical Review with Implications for Female Athlete-Specific Design

Abstract This review article provides a comprehensive anatomical analysis of soccer footwear, delving into the intricate structure and functional roles of its constituent components, including the upper, heel counter, tongue, toe box, outsole/sole plate, studs, and insole. Manufacturing processes influencing these structural elements are also discussed. Current market offerings and patented innovations in [...] Read more.
This review article provides a comprehensive anatomical analysis of soccer footwear, delving into the intricate structure and functional roles of its constituent components, including the upper, heel counter, tongue, toe box, outsole/sole plate, studs, and insole. Manufacturing processes influencing these structural elements are also discussed. Current market offerings and patented innovations in soccer cleat technology are examined through a biomechanical lens, highlighting their intended functions and limitations. A critical synthesis of existing knowledge underscores the anatomical and biomechanical distinctions between male and female athletes' feet, arguing for the necessity of sex-specific footwear design. This review culminates in emphasizing the imperative for specifically engineered soccer footwear for female athletes to optimize performance, enhance comfort, and mitigate the elevated risk of lower extremity injuries prevalent in the female game, thereby identifying crucial directions for future research in sports biomechanics and footwear engineering.
Commentary
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 05, 2025

Educated Yet Unhealthy? Diminished Returns of Education for Immigrants in the USA

Abstract Background: Minorities’ Diminished Returns (MDRs) theory posits that the health benefits of socioeconomic resources, such as education, are smaller for marginalized and minoritized populations, including immigrants. While MDRs have been extensively documented for racial and ethnic minorities, less is known about whether these diminished returns extend to immigrant populations. This study [...] Read more.
Background: Minorities’ Diminished Returns (MDRs) theory posits that the health benefits of socioeconomic resources, such as education, are smaller for marginalized and minoritized populations, including immigrants. While MDRs have been extensively documented for racial and ethnic minorities, less is known about whether these diminished returns extend to immigrant populations. This study tested MDRs of education on various health and cognitive outcomes, including self-rated health (SRH), cognitive function, numeracy, number of chronic medical conditions, and limitations in activities of daily living (ADLs) among immigrants compared to non-immigrants in the United States. Objective. To examine whether educational attainment confers weaker protective effects on SRH, cognitive function, numeracy, chronic medical conditions, and ADLs in immigrants compared to non-immigrants, confirming the presence of MDRs across these domains. Methods: We used data from the Understanding America Study (UAS), a nationally representative survey of U.S. adults. We tested the association between educational attainment and five outcomes—SRH, cognitive function, numeracy, number of chronic medical conditions, and limitations in ADLs—across immigrant and non-immigrant groups. Multivariate regression models were employed, adjusting for key sociodemographic covariates. Results: The protective effects of education on a range of health outcomes were significantly weaker for immigrants compared to non-immigrants. Education level showed weaker associations with SRH, cognitive function, numeracy, number of chronic conditions, and ADLs among immigrants. These findings suggest that even at higher levels of educational attainment, immigrants experience poorer health and cognitive functioning than their U.S.-born counterparts. Conclusion: This study offers strong evidence for the MDRs of education on multiple health outcomes among U.S. immigrants. One possible explanation is that, despite achieving higher levels of education, immigrants often face structural barriers—such as discrimination, limited access to resources, and economic inequities—that constrain the health-related benefits typically associated with educational attainment. Additionally, a portion of immigrant education may be acquired outside the United States, where credentials may not be fully recognized or rewarded within the U.S. labor market. These findings highlight the importance of policies aimed at addressing systemic inequities and improving access to healthcare, employment opportunities, and social support for immigrant communities. Future research should further explore the mechanisms underlying these diminished returns and identify policy solutions to reduce their impact. Keywords: Educational Attainment, Immigrants, Nativity, Self-Rated Health, Chronic Disease, Activities of Daily Living (ADL), Cognitive Function
Original 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 April 09, 2025

Color of Poverty Matters: Socioeconomic Resources and Health of Mothers Giving Birth to Children into Poverty

Abstract Background: Childhood poverty is a critical determinant of developmental, health, and behavioral outcomes. However, racial and ethnic differences in how families experience and navigate poverty suggest that a one-size-fits-all approach may not be an effective approach for alleviating disparities. Understanding baseline demographic, socioeconomic, health, and behavioral characteristics among [...] Read more.
Background: Childhood poverty is a critical determinant of developmental, health, and behavioral outcomes. However, racial and ethnic differences in how families experience and navigate poverty suggest that a one-size-fits-all approach may not be an effective approach for alleviating disparities. Understanding baseline demographic, socioeconomic, health, and behavioral characteristics among families in poverty is crucial to designing equitable interventions. Objective: To examine racial and ethnic differences in baseline demographic, socioeconomic, health, and behavioral characteristics among families living in poverty, using data from the Baby's First Years (BFY:2018-2019) Study. Methods: This analysis used baseline data from the BFY study, a randomized controlled trial (RCT) designed to evaluate the effects of monthly cash assistance on children’s developmental outcomes. The sample included 1,050 children and their families, consisting of mothers and, when available, fathers. Descriptive analyses were conducted to compare demographic, socioeconomic, health, and behavioral outcomes across racial and ethnic groups, focusing on Black, Hispanic, and other mothers. Results: Significant racial and ethnic differences were observed. Regarding demographic factors, Hispanic mothers were older than White mothers. In terms of socioeconomic factors, Hispanic mothers had fewer years of education compared to White mothers, while Black mothers were more likely to receive food stamps than mothers from other groups. Regarding health and behaviors, Black mothers reported worse self-rated health but were less likely to plan for breastfeeding compared to White mothers. In contrast, Hispanic mothers reported lower levels of depression and were more likely to plan for breastfeeding. Conclusion: These findings highlight the heterogeneity of experiences among families living in poverty, with significant differences across racial and ethnic groups. Such disparities underscore the importance of tailoring anti-poverty policies to the unique needs of diverse populations. Future research should explore how the effects of interventions, such as cash assistance or guaranteed income, may differ across racial and ethnic groups to inform equitable and effective policy development.
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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 25, 2025

Resting-State Sensory-Motor Connectivity between Hand and Mouth as a Neural Marker of Socioeconomic Disadvantage, Psychosocial Stress, Cognitive Difficulties, Impulsivity, Depression, and Substance Use in Children

Abstract Background: The sensory-motor network is essential for integrating sensory input with motor function and higher-order cognition. Resting-state functional connectivity (rsFC) within this network undergoes significant developmental changes, and disruptions in these connections have been linked to behavioral and psychiatric outcomes. However, the relationship between sensory-motor [...] Read more.
Background: The sensory-motor network is essential for integrating sensory input with motor function and higher-order cognition. Resting-state functional connectivity (rsFC) within this network undergoes significant developmental changes, and disruptions in these connections have been linked to behavioral and psychiatric outcomes. However, the relationship between sensory-motor connectivity, early-life adversity, and later health behaviors remains understudied. Objective: This study examines the associations between rsFC within the sensory-motor network (mouth and hand regions) and key social, psychological, and behavioral factors, including baseline and past socioeconomic status (SES), trauma exposure, family conflict, impulsivity, major depressive disorder (MDD), and future substance use. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) Study, a national sample of U.S. children. Resting-state fMRI data were used to assess functional connectivity within the sensory-motor network. Bivariate analyses examined associations between rsFC in the sensory-motor mouth and hand regions and baseline SES, past SES, childhood trauma exposure, family conflict, impulsivity, and MDD. Longitudinal analyses assessed whether baseline rsFC predicted future substance use. Results: Greater rsFC between the sensory-motor mouth and hand regions was significantly associated with lower SES, higher trauma exposure, and greater family conflict. Increased connectivity was also correlated with older age and more advanced puberty status. Higher rsFC between the sensory-motor mouth and hand regions was linked to greater impulsivity, lower cognitive function, an increased likelihood of MDD, and future marijuana use. Conclusion: These findings suggest that sensory-motor connectivity is sensitive to socioeconomic and psychosocial stressors, with potential long-term implications for mental health and substance use risk. The results highlight the importance of early-life environmental factors in shaping neurodevelopmental trajectories and emphasize the need for targeted interventions to mitigate the effects of adversity on brain function and behavior. Future research should further explore the role of sensory-motor network alterations in behavioral health outcomes as a function of environmental stressors.
Original Article
Open Access March 20, 2025

Weaker Effects of Parental Education on Oral Nicotine Use of High School Students in Rural Areas: Marginalization-Related Diminished Returns

Abstract Background: Nicotine pouches, gummies, and candies have emerged as popular alternatives to traditional tobacco products among U.S. adolescents. While parental educational attainment is generally associated with youth substance use, marginalization-related diminished returns (MDRs) suggest that this effect may be weaker in marginalized populations, including non-Latino White communities. In [...] Read more.
Background: Nicotine pouches, gummies, and candies have emerged as popular alternatives to traditional tobacco products among U.S. adolescents. While parental educational attainment is generally associated with youth substance use, marginalization-related diminished returns (MDRs) suggest that this effect may be weaker in marginalized populations, including non-Latino White communities. In particular, place-based marginalization—such as neighborhood economic disadvantage and school-level poverty—may attenuate the benefits of parental education. This study examines MDRs in the relationship between parental educational attainment and nicotine pouch/gummy/candy use among non-Latino White 12th graders in the 2024 Monitoring the Future (MTF) study. Methods: This study analyzed nationally representative data from the 2024 MTF study, focusing on non-Latino White 12th graders who reported parental education levels and adolescents’ use of nicotine pouch/gummy/candy. Structural equation modeling (SEM) was used to estimate the effects of parental education on adolescents’ use of nicotine pouches, gummies, and candies, while adjusting for demographic covariates. Place-based marginalization was operationalized using rural vs urban /suburban residence. Interaction terms tested whether the effect of parental education varied based on place of residence. Results: Higher parental educational attainment was associated with lower use of nicotine pouches, gummies, and candies. However, this effect was significantly weaker in rural areas. Conclusion: Public health interventions should account for place-based disparities rather than assuming a uniform effect of SES factors. This study highlights the need for policy responses that address structural inequities beyond individual family SES.
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Original Article
Open Access March 12, 2025

Academic Aspirations of 12th Grade Students in the United States: Place-Based Diminished Returns of Parental Education in Rural Areas

Abstract Background: The Motivational Theory of Life-Span Development suggests that individual aspirations are shaped by both internal and external resources. Parental education is a key determinant of educational aspirations, yet its effects may vary by geographic location, demonstrating spatial patterns of Minorities’ Diminished Returns (MDRs). Objectives: This [...] Read more.
Background: The Motivational Theory of Life-Span Development suggests that individual aspirations are shaped by both internal and external resources. Parental education is a key determinant of educational aspirations, yet its effects may vary by geographic location, demonstrating spatial patterns of Minorities’ Diminished Returns (MDRs). Objectives: This study examines the association between parental education and aspirations for graduate or professional education among non-Latino White adolescents, with a specific focus on urban-suburban versus rural differences. Methods: Using data from the 12th-grade cohort of the Monitoring the Future (MTF) 2024 survey, we conducted multivariate analyses to assess the relationship between parental education and aspirations for graduate or professional education. We further examined whether this association was moderated by geographic location (urban-suburban vs. rural) to identify place-based MDRs. Results: Higher parental education was associated with greater aspirations for advanced education; however, this effect was weaker in rural areas compared to urban and suburban settings. These findings highlight that even among non-Latino White adolescents, rural residence diminishes the benefits of socioeconomic resources, providing evidence of place-based MDRs. Conclusion: Rural residents face a dual disadvantage—both lower socioeconomic status and weaker returns on those resources—necessitating targeted interventions beyond resource allocation. To address disparities in educational aspirations in rural areas, policymakers should focus on improving equitable access to educational opportunities and ensuring that these resources translate into comparable outcomes across different social and geographic contexts.
Article
Open Access March 09, 2025

Gender Differences in Quit Rates in a Tobacco Cessation Program: In Search of Demographic, Socioeconomic, Health, or Behavioral Explanatory Mechanisms

Abstract Background: Women have consistently shown lower quit rates in tobacco cessation programs compared to men. This gender disparity persists despite comprehensive interventions and access to cessation resources. While prior studies suggest that factors such as social support, chronic disease burden, and socioeconomic status may contribute to these differences, there is limited empirical [...] Read more.
Background: Women have consistently shown lower quit rates in tobacco cessation programs compared to men. This gender disparity persists despite comprehensive interventions and access to cessation resources. While prior studies suggest that factors such as social support, chronic disease burden, and socioeconomic status may contribute to these differences, there is limited empirical evidence to confirm these mechanisms. Aims: This study aimed to investigate potential mechanisms underlying gender differences in quit rates in a tobacco cessation program, testing whether demographic, socioeconomic, health, or behavioral factors explain the observed disparities. Methods: Participants were assigned to one of three smoking cessation interventions: an in-person program (CEASE), a self-help approach, or an online/hybrid program. The main outcome measured was smoking abstinence, evaluated three months after the intervention. Secondary analyses explored whether demographic, socioeconomic, health, or tobacco use-related factors mediated the association between gender and quit rates. Results: Women had significantly lower quit rates than men (p < 0.01). This association remained significant after adjusting for demographic, socioeconomic, health, and addiction-related factors. While women reported higher social support and a higher prevalence of chronic cardiometabolic conditions, these factors did not explain the gender disparity in quit rates. Conclusions: Gender differences in quit rates persist despite controlling for known factors that could influence cessation success. Although women had higher social support, they had lower quit rate. Future research should explore unmeasured variables, such as psychological, biological, and structural influences, to develop more effective cessation strategies tailored for women.
Article
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 09, 2025

Hippocampus Functional Connectivity, Impulsivity, and Subsequent Substance Use

Abstract Background: The hippocampus plays a critical role in memory and decision-making processes, with its resting-state functional connectivity (rsFC) linked to various behavioral outcomes. This study investigates whether baseline brain-wide rsFC of the hippocampus mediates the relationship between impulsivity and subsequent substance use, specifically tobacco and marijuana use, in adolescents. [...] Read more.
Background: The hippocampus plays a critical role in memory and decision-making processes, with its resting-state functional connectivity (rsFC) linked to various behavioral outcomes. This study investigates whether baseline brain-wide rsFC of the hippocampus mediates the relationship between impulsivity and subsequent substance use, specifically tobacco and marijuana use, in adolescents. Methods: Data were drawn from the baseline wave of the Adolescent Brain Cognitive Development (ABCD) study. Resting-state fMRI data were used to evaluate the functional connectivity of the hippocampus with key brain networks, including the cingulo-parietal network, visual network, sensory-motor network, and default mode network (DMN). Impulsivity was assessed using validated self-report measures, and substance use (tobacco and marijuana) was evaluated at follow-up. Mediation models were conducted to examine the extent to which hippocampal rsFC explains the association between impulsivity and substance use. Results: Baseline hippocampal rsFC with the cingulo-parietal network, visual network, sensory-motor network, and DMN showed marginal associations with future tobacco and marijuana use. Additionally, hippocampal rsFC was significantly associated with impulsivity, which, in turn, predicted higher substance use at follow-up. These findings suggest that hippocampal rsFC partially mediates the relationship between impulsivity and substance use behaviors. Conclusions: Hippocampal functional connectivity with brain networks may influence the pathway from impulsivity to future substance use in adolescence. These findings emphasize the importance of hippocampal connectivity in understanding the neural mechanisms underlying risk behaviors and may inform the development of targeted interventions to reduce substance use in this vulnerable population.
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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 25, 2025

Nucleus Accumbens Resting State Functional Connectivity is Linked to Family Income, Reward Salience, and Substance Use

Abstract Background: As a central component of the brain's reward system, nucleus accumbens (NAcc) plays a crucial role in reward salience and substance use behaviors. Changes in the NAcc are also relevant to higher rates of substance use of youth and adults from low-income backgrounds. Although resting-state functional connectivity (rsFC) of the NAcc provides valuable insights into the neural [...] Read more.
Background: As a central component of the brain's reward system, nucleus accumbens (NAcc) plays a crucial role in reward salience and substance use behaviors. Changes in the NAcc are also relevant to higher rates of substance use of youth and adults from low-income backgrounds. Although resting-state functional connectivity (rsFC) of the NAcc provides valuable insights into the neural mechanisms underlying reward processing and the propensity for self-reported reward salience and substance use, research exploring the association between NAcc rsFC and brain networks beyond the default mode network (DMN) and prefrontal cortex (PFC) is limited. Objective: To investigate the role of the resting-state functional connectivity of the NAcc with the cingulo-opercular network, sensorimotor mouth network, and sensorimotor hand network in the association between socioeconomic status, self-reported reward salience, and future substance use. Methods: Data were obtained from the Adolescent Brain Cognitive Development (ABCD) study. NAcc rsFC with the cingulo-opercular network, sensorimotor mouth network, and sensorimotor hand network was assessed at baseline. Socioeconomic status was measured using family income. Self-reported reward salience was assessed using validated psychometric scales. Substance use outcomes were tracked longitudinally over the study period. Structural Equation Modeling was employed to examine the covariances between family income, NAcc rsFC, reward salience, and subsequent substance use. Results: Higher baseline family income was positively associated with baseline NAcc rsFC (B = 0.092, p < 0.001) and negatively associated with baseline reward salience (B = -0.040, p = 0.036) and future substance use (B = -0.081, p < 0.001). Baseline NAcc rsFC was strongly and positively associated with reward salience (B = 0.734, p < 0.001) and future substance use up to age 13 (B = 0.124, p < 0.001). Additionally, baseline reward salience was positively associated with future substance use (Covariance = 0.176, p < 0.001). Conclusion: The findings suggest that NAcc rsFC with brain networks beyond the DMN or PFC may contribute to the links between low parental socioeconomic status, reward salience, and substance use risk. Expanding the understanding of NAcc rsFC provides new insights into the neural mechanisms underlying these associations. These results have important implications for developing targeted interventions aimed at preventing substance use, particularly among low-income youth with heightened reward salience. Further research is needed to explore causal pathways and moderating factors influencing these relationships.
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Article
Open Access February 24, 2025

Socioeconomic Status, Trauma, Cognitive Function, Impulsivity, Reward Salience, and Future Substance Use: Role of Left Caudate Connectivity with the Cingulo-Opercular Network

Abstract Background: While understanding how corticostriatal connectivity is associated with socioeconomic status (SES), trauma exposure, cognitive function, reward salience, impulsivity, and future substance use is essential to identifying neurobiological pathways that contribute to health disparities and behavioral outcomes, very few studies have tested the role of left caudate resting-state [...] Read more.
Background: While understanding how corticostriatal connectivity is associated with socioeconomic status (SES), trauma exposure, cognitive function, reward salience, impulsivity, and future substance use is essential to identifying neurobiological pathways that contribute to health disparities and behavioral outcomes, very few studies have tested the role of left caudate resting-state functional connectivity (rsFC) with the cingulo-opercular network as a proxy of corticostriatal connectivity in social, cognitive, and behavioral processes. Objective: This study investigates the associations between left caudate-cingulo-opercular connectivity and multiple biopsychosocial domains, including low SES, high trauma exposure (financial and life events), cognitive function, reward salience, impulsivity, depression, and future substance use (tobacco and marijuana use). Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data were analyzed to assess connectivity between the left caudate and the cingulo-opercular network. Data on socioeconomic status, trauma exposure, cognitive performance, and mental health were collected from participants. Future substance use behaviors were evaluated through longitudinal follow-ups. Correlation and regression analyses were conducted to examine relationships between corticostriatal connectivity and the targeted domains. Results: Corticostriatal hypoconnectivity was associated with lower SES, higher trauma exposure, poorer cognitive function, heightened reward salience, higher impulsivity, and history of depression. Additionally, corticostriatal hypoconnectivity at baseline predicted future tobacco and marijuana use during follow-up years. Conclusion: Corticostriatal hypoconnectivity, particularly the rsFC between the left caudate and the cingulo-opercular network, may represent a potential mechanism linking a wide range of social, emotional, and behavioral problems in youth. These findings suggest that corticostriatal hypoconnectivity could serve as a neurobiological marker for identifying individuals at risk for depression, low cognitive function, high reward salience, impulsivity, and substance use, emphasizing the interplay between socioeconomic and neurocognitive factors in shaping behavioral health trajectories.
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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 February 16, 2025

Uneven Impact of Maternal Education at Birth on High School Grades of Black and White Students

Abstract Background: The Minorities' Diminished Returns (MDRs) theory posits that social determinants of health, such as parental education, exert weaker protective effects on health and educational outcomes in racialized and minoritized populations compared to White populations. Aim: This study examines whether higher maternal education is associated with better high school GPA in Black [...] Read more.
Background: The Minorities' Diminished Returns (MDRs) theory posits that social determinants of health, such as parental education, exert weaker protective effects on health and educational outcomes in racialized and minoritized populations compared to White populations. Aim: This study examines whether higher maternal education is associated with better high school GPA in Black youth and whether this association aligns with the MDRs framework. Methods: Data were drawn from the Future of Families and Child Wellbeing Study also known as Fragile Families and Child Wellbeing Study (FFCWS) baseline and 22nd year follow-up (1990-2022). This study included 1873 Black or White participants who were followed from birth to age 22. Linear regression models were used to assess the association between maternal education and high school GPA, adjusting for sociodemographic covariates. Analyses focused on the differential effects of maternal education across racial groups, particularly among Black youth. Results: While maternal education was positively associated with high school GPA, this effect was weaker for Black students compared to their White counterparts. Specifically, each additional year of maternal education corresponded to a lower GPA increase in Black students, consistent with the MDRs hypothesis. Conclusion: Findings support the MDRs theory, indicating that maternal education has a reduced protective effect on high school GPA among Black youth. These results underscore the need for policies that address structural factors beyond education to promote equitable academic achievement.
Article
Open Access February 12, 2025

Unequal Benefits: How Parental Education Falls Short for Black and Latino Youth

Abstract Background: Parental education is a key determinant of academic performance, yet its protective effects may differ by race and ethnicity. The concept of Minorities’ Diminished Returns (MDRs) highlights the weaker association between socioeconomic resources and outcomes for marginalized populations, including Black and Latino youth. Objective: To investigate whether the [...] Read more.
Background: Parental education is a key determinant of academic performance, yet its protective effects may differ by race and ethnicity. The concept of Minorities’ Diminished Returns (MDRs) highlights the weaker association between socioeconomic resources and outcomes for marginalized populations, including Black and Latino youth. Objective: To investigate whether the positive association between parental education and school performance (letter grades) is weaker for Black and Latino youth compared to non-Latino White youth. Methods: Data were drawn from the Monitoring the Future (MTF) 2023 study. The sample included Black, Latino, and non-Latino White youth. The outcome was a nine-level continuous measure of academic performance based on self-reported letter grades, with higher scores indicating better performance. Multivariate regression models tested interactions between parental education and race/ethnicity in predicting grades, adjusting for confounders such as family income, gender, and school characteristics. Results: A total number of 7584 12th graders entered the study. Parental education was positively associated with school performance across all groups, but the magnitude of this association was significantly smaller for Black and Latino youth compared to non-Latino White youth. Even after controlling for socioeconomic and contextual factors, the racial and ethnic differences in the strength of this association persisted. Conclusions: Our findings provide evidence of Minorities’ Diminished Returns (MDRs) in the academic domain, with Black and Latino youth experiencing weaker benefits of parental education on school performance. These disparities suggest that structural barriers and systemic inequities undermine the translation of parental educational attainment into academic success for marginalized groups. Policy interventions must address these structural barriers to promote equity in educational outcomes.
Article
Open Access February 09, 2025

The Future of Longevity Medicine from the Lens of Digital Therapeutics

Abstract Digital therapeutics (DTx) are emerging as a pivotal tool in promoting longevity by addressing non-communicable diseases (NCDs) such as diabetes, cardiovascular diseases, and mental health disorders. These software-driven interventions offer personalized, evidence-based treatments that can be accessed via digital devices, making healthcare more accessible and scalable. One of the key advancements [...] Read more.
Digital therapeutics (DTx) are emerging as a pivotal tool in promoting longevity by addressing non-communicable diseases (NCDs) such as diabetes, cardiovascular diseases, and mental health disorders. These software-driven interventions offer personalized, evidence-based treatments that can be accessed via digital devices, making healthcare more accessible and scalable. One of the key advancements in DTx is the integration of artificial intelligence (AI) and machine learning (ML) to tailor interventions based on individual health data. This personalization enhances the effectiveness of treatments and supports preventive care by identifying risk factors early. The need for digital therapeutics is underscored by the rising prevalence of NCDs, which are responsible for a significant portion of global mortality and healthcare costs. Traditional healthcare systems often struggle to provide timely and personalized care, especially in low-resource settings. DTx can bridge this gap by offering cost-effective solutions that are easily scalable. Moreover, digital therapeutics can address health inequities by providing low-cost interventions to underserved populations, thereby reducing the burden of NCDs and improving overall health outcomes. As technology continues to evolve, the potential for DTx to enhance longevity and quality of life becomes increasingly promising. Recent advancements in longevity medicine and technology have focused on extending both lifespan and healthspan, ensuring that people not only live longer but also maintain good health throughout their extended years. This review article highlights these advancements that are contributing to this compelling subject of Longevity.
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Review Article
Open Access January 16, 2025

Extreme Heat Exposure and Adolescent Cognitive Function

Abstract Background: Extreme heat exposure is an increasing public health concern, particularly in the context of climate change. Limited research has explored its impact on children's cognitive outcomes. This study investigates the association between extreme heat exposure and cognitive function in 9–10-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) study. [...] Read more.
Background: Extreme heat exposure is an increasing public health concern, particularly in the context of climate change. Limited research has explored its impact on children's cognitive outcomes. This study investigates the association between extreme heat exposure and cognitive function in 9–10-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) study. Additionally, we assess whether this effect is independent of socio-demographic factors such as race, family socioeconomic status (SES), and neighborhood SES. Methods: Data were drawn from the ABCD study, comprising over 10,000 children aged 9–10 years. Cognitive function was assessed through standardized cognitive tests, while extreme heat exposure was estimated using geographic and climate data. Structural equation modeling (SEM) was employed to examine the direct effects of heat exposure on cognitive outcomes and to account for potential confounding variables, including race, family SES, and neighborhood SES. Results: Black families, low SES households, and children from low SES neighborhoods were disproportionately exposed to extreme heat. Extreme heat exposure was significantly associated with lower cognitive function in children, and this association remained robust even after adjusting for socio-demographic factors. Conclusions: Extreme heat exposure is linked to diminished cognitive function in children, particularly among socio-economically disadvantaged and marginalized populations. Given the increasing frequency of extreme heat events due to climate change, future research should further explore these implications for children’s cognitive outcomes. Policy interventions that improve access to cooling infrastructure, expand green spaces, and prioritize at-risk populations are critical to mitigating the adverse cognitive effects of extreme heat in low SES communities.
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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 November 19, 2024

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

Abstract The purpose of the study was to examine the Influence of Physical Features of the Housing Environment on Students' Halls of Residence at the University of Cape Coast in the central region of Ghana. Quantitatively, a descriptive survey research design was adopted for the study. Housing Deficit Theory underpins the study. The study population comprised three hundred and eight one (381) level 100 [...] Read more.
The purpose of the study was to examine the Influence of Physical Features of the Housing Environment on Students' Halls of Residence at the University of Cape Coast in the central region of Ghana. Quantitatively, a descriptive survey research design was adopted for the study. Housing Deficit Theory underpins the study. The study population comprised three hundred and eight one (381) level 100 students in the Halls of Residence at the University of Cape Coast. Stratified proportionate random and simple random sampling techniques were used to select the eight (8) halls of residence and three hundred and eight one (381) level 100 students. The main instrument for data collection was a questionnaire. Cronbach's alpha was used in the study to assess the reliability of the variables. Descriptive statistics were used to analyse the data and show the direction of the responses. The study revealed that the students were satisfied with the physical features of the halls of residence, which influenced their contentment. Features such as recreational facilities, fire service systems, and relaxation facilities were vital in reaching such satisfaction. The study also indicated that the students were satisfied with how much their housing environment influenced their contentment. Students' relationship with their colleagues, the proximity of their halls of residence to the lecture halls and the serenity of the environment of the halls of residence all proved helpful in aligning the students' contentment to such an extent. It is recommended that the hall management should maintain the present physical features and facilities in the halls of residence for students' satisfaction. It is also recommended that the university management take into consideration the proximity of the halls of residence to the lecture theatres and the serenity of the environment of halls of residence in any future halls of residence construction.
Article
Open Access November 19, 2024

Social Epidemiology of Dual Use of Electronic and Combustible Cigarettes Among U.S. Adults: Insights from the Population Assessment of Tobacco and Health (PATH) Study

Abstract Background: The dual use of e-cigarettes and combustible cigarettes poses significant public health concerns due to the compounded risks associated with the use of both products. Understanding the predictors of dual use can inform targeted interventions and tobacco control strategies aimed at reducing nicotine dependence and health risks among adults. Objective: This study [...] Read more.
Background: The dual use of e-cigarettes and combustible cigarettes poses significant public health concerns due to the compounded risks associated with the use of both products. Understanding the predictors of dual use can inform targeted interventions and tobacco control strategies aimed at reducing nicotine dependence and health risks among adults. Objective: This study aims to identify the sociodemographic predictors of dual use of e-cigarettes and combustible cigarettes among U.S. adults using baseline data from the Population Assessment of Tobacco and Health (PATH) Study. Methods: We analyzed baseline data from the PATH Study, focusing on adult participants who reported the use of both e-cigarettes and combustible cigarettes. Logistic regression models were used to identify the associations between dual use and key sociodemographic variables, including age, gender, race/ethnicity, and education level. Results: The analysis revealed that dual use of e-cigarettes and combustible cigarettes was predominantly observed among young, female, non-Latino, White, and highly educated adults. Younger adults were more likely to engage in dual use compared to older age groups. Females showed higher rates of dual use compared to males. Non-Latino White individuals were more likely to be dual users than individuals from other racial/ethnic backgrounds. Additionally, higher educational attainment was associated with increased dual use, contrary to traditional smoking patterns. Conclusion: The findings highlight specific demographic groups that are at higher risk of dual use of e-cigarettes and combustible cigarettes, particularly younger, highly educated, non-Latino White females. These insights suggest the need for tailored public health interventions that address the unique needs and behaviors of these populations. Future research should explore the underlying motivations and contextual factors contributing to dual use to enhance the effectiveness of tobacco control policies and cessation programs.
Article
Open Access November 14, 2024

When Common Becomes Normal: Weaker Association Between Neighborhood Stress and Body Mass Index Among Black Adolescents Compared to White Adolescents

Abstract Objective: This study explores the relationship between neighborhood stress and Body Mass Index (BMI) in adolescents, while also examining whether this association differs between Black and White adolescents. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) Study were analyzed using linear regression models to examine the association between neighborhood stress [...] Read more.
Objective: This study explores the relationship between neighborhood stress and Body Mass Index (BMI) in adolescents, while also examining whether this association differs between Black and White adolescents. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) Study were analyzed using linear regression models to examine the association between neighborhood stress (defined as a composite score based on three items measuring perceived safety and neighborhood fear) and BMI in adolescents, controlling for demographic and socioeconomic variables. We tested models both with and without interaction terms to assess whether race moderated the association. Stratified analyses were conducted to further explore potential differences between Black and White adolescents. Results: A positive association was observed between neighborhood stress and BMI across the overall sample. However, this association was weaker for Black adolescents compared to White adolescents, even after adjusting for potential confounders. Conclusions: The contribution of neighborhood stress to higher BMI in adolescents may vary by race. Our findings suggest that while neighborhood stress is associated with increased BMI, Black adolescents appear to be less affected by these stressors than their White peers. This weaker association could be due to the normalization of stress in environments where it is pervasive (what is common becomes normal) or the presence of other significant risk factors affecting BMI in Black youth, such as poverty, limited food access, food culture, and food deserts. Future research should explore processes of habituation, inoculation, or even sensitization to stress among Black populations, who are often exposed to a wide range of stressors throughout the life course.
Article
Open Access October 13, 2024

Developing Learning and Teaching Repository as a Resource to Improve Biological/Biomedical Science Teaching and Education

Abstract Making students efficiently and flexibly understand and master the knowledge of biological/biomedical sciences by prompting active learning and critical thinking and making biomedical science courses form an integrated system are critical for more successful and effective student education, future and career. However, the current biological/biomedical education system worldwide tends to produce [...] Read more.
Making students efficiently and flexibly understand and master the knowledge of biological/biomedical sciences by prompting active learning and critical thinking and making biomedical science courses form an integrated system are critical for more successful and effective student education, future and career. However, the current biological/biomedical education system worldwide tends to produce graduates best suited for postdoctoral training, and academic careers, in highly specialized areas. Many institutions worldwide currently favor densely packed curricula with fast-paced instruction focused on detailed subject matter, with little room left for skill training in both active learning and critical thinking, creative problem solving, professional skills, putting what was learned into a larger context that creates meaning, and teaching students with different learning styles, despite their significance. In this article, we will discuss the current defects in biological/biomedical science education and the need to reform biomedical science teaching and education. We will also describe some suggestions and approaches to improve biological/biomedical science learning and education, including the establishment of a more effective learning/teaching repository.
Editorial
Open Access October 05, 2024

Symbolic Splendour: Integrating Adinkra Symbols in Ghana’s Most Beautiful Set Design

Abstract This study explores the integration of Adinkra symbols into the set design of Ghana’s Most Beautiful (GMB), a popular beauty pageant and reality TV show that has aired on TV3; a private television station in Ghana. GMB showcases beauty, intelligence, cultural knowledge, and traditional values, celebrating Ghana's rich cultural heritage through female contestants representing the country's diverse [...] Read more.
This study explores the integration of Adinkra symbols into the set design of Ghana’s Most Beautiful (GMB), a popular beauty pageant and reality TV show that has aired on TV3; a private television station in Ghana. GMB showcases beauty, intelligence, cultural knowledge, and traditional values, celebrating Ghana's rich cultural heritage through female contestants representing the country's diverse ethnic groups. In response to the lack of coherent Ghanaian artistic elements in previous set designs, this study employed an artistic methodology to incorporate four Adinkra symbols, Okɔdeɛ Mmɔwerɛ, Duafe, Dweninimmɛn, and Mate Masie, into the set design for the show’s eighth season. These symbols, signifying beauty, strength, wisdom, and unity respectively, were creatively integrated into a crown-like set design for the grand finale, harmonizing aesthetic trends with cultural significance. The design process was informed by rigorous research and stakeholder interviews, ensuring that the selected symbols conveyed the intended cultural messages. The results highlight the potential of traditional symbols to enhance both the cultural relevance and visual appeal of television productions. The project enriches the cultural depth of GMB production and offers a blueprint for incorporating indigenous symbols into contemporary set design. The study recommends that future productions continue exploring traditional symbols to deepen the appreciation of Ghanaian heritage and strengthen cultural identity through visual arts.
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Open Access September 12, 2024

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

Abstract Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. [...] Read more.
Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. This study investigates the effects of baseline adulthood SES indicators such as education and poverty on telomere length nine years later in women, using data from the Future of Families and Child Wellbeing Study (FFCWS). Methods: We analyzed data from the FFCWS, a longitudinal cohort study. The sample included baseline adulthood SES and follow-up telomere length measure of women (n = 2,421) with varying socioeconomic conditions. Telomere length was measured from saliva samples nine years after the baseline measure of adulthood SES. Education, poverty, and marital status at baseline were assessed. Multivariate linear regression models were used to examine the association between adulthood SES indicators at baseline and future telomere length, controlling for potential confounders. Results: From the total 2,421 women, 675 were Latino White, 1,158 were non-Latino Black, and 588 were non-Latino White. Our findings indicate that for non-Latino White women poverty at certain level, and childbirth weight, and for non-Latino Black maternal age were predictors of telomere lengths nine years later. Conclusion: Poverty at a specific level, maternal age and childbirth weight serve as predictors of telomere lengths nine years later in some women. These findings underscore the importance of socioeconomic factors and early-life influences in understanding telomere dynamics and aging processes among women from varied racial and ethnic backgrounds.
Article
Open Access September 10, 2024

Does Adulthood Socioeconomic Status Predict Subsequent Telomere Length in Racially and Ethnically Diverse Women?

Abstract Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. [...] Read more.
Background: Telomere length is a critical biomarker of cellular aging and overall health. While childhood socioeconomic status (SES) indicators such as education and poverty can have long-lasting effects on biological aging, research has shown contradictory results regarding the impact of adulthood SES on future telomere length, particularly in racially and ethnically diverse individuals. This study investigates the effects of baseline adulthood SES indicators such as education and poverty on telomere length nine years later in women, using data from the Future of Families and Child Wellbeing Study (FFCWS). Methods: We analyzed data from the FFCWS, a longitudinal cohort study. The sample included baseline adulthood SES and follow-up telomere length measure of women (n = 2,421) with varying socioeconomic conditions. Telomere length was measured from saliva samples nine years after the baseline measure of adulthood SES. Education, poverty, and marital status at baseline were assessed. Multivariate linear regression models were used to examine the association between adulthood SES indicators at baseline and future telomere length, controlling for potential confounders. Results: From the total 2,421 women, 675 were Latino White, 1,158 were non-Latino Black, and 588 were non-Latino White. Our findings indicate that for women in our study, no adulthood SES indicators such as poverty status, education, or marital status at baseline were predictive of telomere lengths nine years later. Conclusion: Our observations challenge that expected longitudinal association between adulthood SES indicators and subsequent telomere length almost a decade later in racially and ethnically diverse group of women. These findings underscore the need for additional research on the validity of TL as a mediator of the effects of adulthood SES on future rate of biological aging.
Article
Open Access August 27, 2024

Tobacco Susceptibility Explains Diminished Returns of Family Income on Black Adolescents' Tobacco Initiation

Abstract Background: Minorities’ Diminished Returns (MDRs) theory posits that socioeconomic resources have weaker protective effects on health and behavior for racial and ethnic minorities compared to Whites. This study examines whether tobacco susceptibility, defined as curiosity, intention, and openness to future tobacco use, mediates the diminished returns of family income on tobacco initiation [...] Read more.
Background: Minorities’ Diminished Returns (MDRs) theory posits that socioeconomic resources have weaker protective effects on health and behavior for racial and ethnic minorities compared to Whites. This study examines whether tobacco susceptibility, defined as curiosity, intention, and openness to future tobacco use, mediates the diminished returns of family income on tobacco initiation among Black adolescents. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) Study were analyzed. Participants were followed from age 9 to 16. All participants were tobacco naïve at baseline. Tobacco susceptibility was assessed through self-reported measures of curiosity, intention, and openness to future tobacco use. Structural equation modeling (SEM) was used to examine the relationship between family income, tobacco susceptibility, and tobacco initiation. Results: Overall, 10,653 Black or White youth entered our analysis. The analysis revealed that higher family income was less effective in preventing tobacco initiation among Black adolescents. Tobacco susceptibility significantly predicted tobacco initiation and partially mediated the relationship between family income and tobacco initiation. Conclusions: Tobacco susceptibility explains some of the diminished returns of family income on tobacco initiation among Black adolescents. Interventions aimed at reducing tobacco susceptibility may enhance the protective effects of family income and help mitigate health disparities.
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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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Open Access August 24, 2024

Higher Neighborhood Crime Rates Don't Always Predict Early Initiation of Tobacco, Marijuana, and Alcohol

Abstract Background: The initiation of substance use during adolescence is a significant public health concern with long-term implications. Structural and environmental factors, such as community-level crime statistics related to drug offenses, are often assumed to influence the likelihood of substance use among youth. However, the relationship between these environmental crime indicators and [...] Read more.
Background: The initiation of substance use during adolescence is a significant public health concern with long-term implications. Structural and environmental factors, such as community-level crime statistics related to drug offenses, are often assumed to influence the likelihood of substance use among youth. However, the relationship between these environmental crime indicators and early substance use initiation in adolescents is not well understood. Objective: This study aims to examine the association between environmental drug-related crime statistics—derived from Uniform Crime Reports, including drug abuse violations, drug sales, marijuana sales, drug possession, and driving under the influence (DUI)—and the use of tobacco, marijuana, and alcohol among adolescents aged 9-16 in the United States. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) study, which follows a cohort of adolescents from ages 9-10 to 16, were analyzed. 11,878 participants entered our analysis. The primary environmental measures included total drug abuse violations, drug sale offenses, marijuana sale offenses, drug possession offenses, and DUI reports. Substance use outcomes of interest were the frequency and prevalence of tobacco, marijuana, and alcohol use across the observed age range. Results: Contrary to expectations, higher levels of drug-related crime in a community were not associated with increased use of tobacco, marijuana, or alcohol among adolescents. In fact, the study found a significant inverse relationship between the total number of drug-related crimes and tobacco use, suggesting lower tobacco use in areas with higher reported drug abuse violations, drug sales, marijuana sales, drug possession, and DUI incidents. No significant associations were observed between these crime indicators and the use of marijuana or alcohol. Conclusions: These findings challenge the prevailing assumption that higher environmental drug-related crime statistics necessarily predict greater substance use among adolescents. The observed inverse relationship between drug-related crime and tobacco use warrants further investigation to understand the underlying mechanisms and to inform targeted intervention strategies. Future research should explore the complex interplay between structural environmental factors and youth substance use to better inform public health policies.
Article
Open Access August 18, 2024

Extreme Heat Exposure Is Associated with Higher Socioeconomic Disadvantage and Elevated Youth Delinquency

Abstract Background: Climate change has led to an increase in the frequency and intensity of extreme heat events, a trend expected to continue. This poses significant health risks, particularly for vulnerable populations like children. While previous research has largely concentrated on the physical health impacts of extreme heat, less attention has been given to behavioral outcomes, such as [...] Read more.
Background: Climate change has led to an increase in the frequency and intensity of extreme heat events, a trend expected to continue. This poses significant health risks, particularly for vulnerable populations like children. While previous research has largely concentrated on the physical health impacts of extreme heat, less attention has been given to behavioral outcomes, such as delinquency. Objectives: This study investigates the association between extreme heat exposure and delinquency among children, utilizing data from the Adolescent Brain Cognitive Development (ABCD) study. It also explores the potential mediating roles of neighborhood socioeconomic status (SES; measured by median home value), puberty, peer deviance, and financial difficulties. Methods: Data from the national ABCD study were analyzed to assess the relationship between extreme heat exposure (exposure) and delinquency (outcome). Covariates included race/ethnicity, sex, and age. Mediators examined were neighborhood SES, puberty, peer deviance, and financial difficulties. Structural equation modeling (SEM) was employed for data analysis. Results: Overall, 11,878 children entered our analysis. The analysis revealed a significant association between extreme heat exposure and higher levels of delinquency among children. Children more exposed to extreme heat were more likely to be Black, reside in lower SES neighborhoods, experience greater financial difficulties, and have more advanced puberty status. The group facing the highest heat exposure was also economically disadvantaged. Conclusions: The findings suggest that children already disadvantaged by socio-economic factors are disproportionately affected by extreme heat, leading to increased delinquency. This highlights the need for targeted interventions to protect these vulnerable populations and address the mediators of extreme heat exposure. Future research should focus on longitudinal studies and evaluate the effectiveness of various mitigation strategies to address these disparities.
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Article
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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Open Access July 18, 2024

Household Income and Offspring Education Explain Blacks’ Diminished Returns of Parental Education

Abstract Background: High parental education promotes various aspects of offspring well-being including reducing their risk of depression/anxiety, criminal justice involvement, and welfare reliance. However, according to minorities’ diminished returns, these benefits are not equal across racial groups, with Black families experiencing diminished returns of parental education compared to White [...] Read more.
Background: High parental education promotes various aspects of offspring well-being including reducing their risk of depression/anxiety, criminal justice involvement, and welfare reliance. However, according to minorities’ diminished returns, these benefits are not equal across racial groups, with Black families experiencing diminished returns of parental education compared to White families. This study explores the role of household income and offspring educational attainment as potential serial pathways that operate as mechanisms underlying diminished returns of parental education on offspring outcomes in Black families. Gender differences in these effects were also explored. Methods: Utilizing data from the Future of Families and Child Wellbeing Study (FFCWS) over a 22-year follow-up period (seven waves), we examined the serial mediation by household income and offspring educational attainment in explaining the relationship between parental education and offspring outcomes namely depression, anxiety, criminal justice involvement, and welfare reliance [Temporary Assistance for Needy Families (TANF) and Supplemental Nutrition Assistance Program (SNAP)]. We used structural equation modeling (SEM) with household income as the first mediator and young adult education as the second mediator. Multi-group models were used to explore gender differences in these paths. Results: The study confirmed the role of our proposed serial mediators for Blacks’ weaker effects of parental education on offspring outcomes. We observed weaker effects of first affects household income, with this effect being for Black families compared to White families, which then impacted educational attainment of the offspring. The findings indicate that household income plays a crucial mediating role, but its effect is weaker in Black families. Additionally, the educational attainment of offspring from highly educated Black parents is less effective in improving outcomes compared to their White peers, further contributing to diminished returns. Some gender differences were observed for the effects of educational attainment on economic and health outcomes of young adults. Conclusions: The study underscores the need to reconsider traditional assumptions about the comparability of family conditions and outcomes across racial groups with similar levels of parental education. The findings highlight the importance of targeted policies and interventions aimed at enhancing the economic stability and educational outcomes of Black families to address these disparities. Policies should focus on promoting the economic well-being of highly educated Black parents and improving the educational outcomes of their children.
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Open Access July 16, 2024

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

Abstract Groundwater is undeniably crucial to people's lives, particularly in coastal regions. Therefore, it is imperative to address this vital water source strategically and implement a management plan to maintain its optimal state. The salinization of groundwater poses a significant challenge for coastal communities, stemming from factors like excessive groundwater extraction from coastal aquifers, [...] Read more.
Groundwater is undeniably crucial to people's lives, particularly in coastal regions. Therefore, it is imperative to address this vital water source strategically and implement a management plan to maintain its optimal state. The salinization of groundwater poses a significant challenge for coastal communities, stemming from factors like excessive groundwater extraction from coastal aquifers, reduced recharge, rising sea levels, climate change, and other causes. Saltwater intrusion (SWI) is a prevalent issue that needs attention, as it significantly threatens groundwater quantity and quality. SWI happens when saline water infiltrates coastal aquifers, contaminating freshwater supplies. This review article aims to define SWI, explore its causes and influencing factors, and discuss various monitoring techniques. Additionally, it examines different modeling methods and management tools, including remote sensing, field surveys, modeling approaches, and optimization techniques. To mitigate the adverse effects of SWI, several control measures are outlined, along with their pros and cons. The final section reviews previous SWI studies and case studies from the Nile Delta, Sinai Peninsula, and North-West coast in Egypt. These studies offer suggestions, adaptations, and mitigation measures for future research.
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Review Article
Open Access July 15, 2024

The Role of Dignity and Respect in Maternity Care: An Integrative Literature Review

Abstract This integrative literature review aims to explore the pivotal role of dignity and respect in maternity care, focusing on their profound impact on the experiences of pregnant individuals. Emphasis is placed on cultural competence as a crucial factor in fostering understanding and respect for diverse backgrounds, promoting inclusive approaches to maternal care. The overarching goal is to underscore [...] Read more.
This integrative literature review aims to explore the pivotal role of dignity and respect in maternity care, focusing on their profound impact on the experiences of pregnant individuals. Emphasis is placed on cultural competence as a crucial factor in fostering understanding and respect for diverse backgrounds, promoting inclusive approaches to maternal care. The overarching goal is to underscore the significance of dignified and respectful care in enhancing maternal satisfaction, postpartum outcomes, and overall well-being. Methods: The review synthesizes existing literature (n=22) on maternity care, dignity, and respect, drawing insights from diverse sources to comprehensively analyze the multifaceted nature of this critical healthcare aspect. Cultural competence is explored as a key theme in understanding and appreciating the varied backgrounds of pregnant individuals. The analysis encompasses factors such as effective communication, healthcare provider attitudes, cultural competence, informed consent, and systemic considerations, shedding light on their collective influence on dignity and respect in maternity care. Principal Findings: The literature review reveals that providing dignified and respectful care significantly contributes to improving maternal satisfaction and postpartum outcomes. Cultural competence emerges as a crucial element, ensuring that care approaches are inclusive and tailored to diverse cultural backgrounds. Effective communication, positive healthcare provider attitudes, and considerations for systemic factors are identified as key determinants of the dignity and respect experienced by pregnant individuals. The findings underscore the interconnectedness of these factors in shaping the overall quality of maternity care. Practical Applications: Recommendations stemming from the literature review include interventions aimed at enhancing healthcare providers' communication skills, cultural competence training, and the promotion of patient-centered care models. Acknowledging the systemic factors influencing maternity care, the review calls for collaborative efforts among healthcare providers, policymakers, and researchers to create an environment that upholds pregnant individuals' autonomy and values. The practical applications emphasize the need for comprehensive and culturally sensitive approaches to ensure that all pregnant individuals receive dignified and respectful care. In summary, this integrative literature review provides a comprehensive understanding of the critical role of dignity and respect in maternity care, offering insights into effective strategies for improvement and emphasizing the importance of cultural competence and collaborative efforts in shaping the future of maternal healthcare.
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Review Article
Open Access July 12, 2024

Race, Poverty Status at Birth, and DNA Methylation of Youth at Age 15

Abstract Epigenetic studies, which can reflect biological aging, have shown that measuring DNA methylation (DNAm) levels provides new insights into the biological effects of social environment and socioeconomic position (SEP). This study explores how race, family structure, and SEP (income to poverty ratio) at birth influence youth epigenetic aging at age 15. Data were obtained from the Future [...] Read more.
Epigenetic studies, which can reflect biological aging, have shown that measuring DNA methylation (DNAm) levels provides new insights into the biological effects of social environment and socioeconomic position (SEP). This study explores how race, family structure, and SEP (income to poverty ratio) at birth influence youth epigenetic aging at age 15. Data were obtained from the Future of Families and Child Wellbeing Study (FFCWS) cohort, with GrimAge used as a measure of DNAm levels and epigenetic aging. Our analysis included 854 racially and ethnically diverse participants followed from birth to age 15. Structural equation modeling (SEM) examined the relationships among race, SEP at birth, and epigenetic aging at age 15, controlling for sex, ethnicity, and family structure at birth. Findings indicate that race was associated with lower SEP at birth and faster epigenetic aging. Specifically, income to poverty ratio at birth partially mediated the effects of race on accelerated aging by age 15. The effect of income to poverty ratio at birth on DNAm was observed in male but not female youth at age 15. Thus, SEP partially mediated the effect of race on epigenetic aging in male but not female youth. These results suggest that income to poverty ratio at birth partially mediates the effects of race on biological aging into adolescence. These findings highlight the long-term biological impact of early-life poverty in explaining racial disparities in epigenetic aging and underscore the importance of addressing economic inequalities to mitigate these disparities. Policymakers should focus on poverty prevention in Black communities to prevent accelerated biological aging and associated health risks later in life. Interventions aimed at eliminating poverty and addressing racial inequities could have significant long-term benefits for public health. Future research should explore additional factors contributing to epigenetic aging and investigate potential interventions to slow down the aging process. Further studies are needed to understand the mechanisms underlying these associations and to identify effective strategies for mitigating the impact of SEP and racial disparities on biological aging.
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Open Access July 12, 2024

Racial Gap in Household Income Explains Black-White Disparities in the Intergenerational Transmission of Educational Attainment

Abstract Background: Racial disparities in educational outcomes persist in the United States, with Black individuals experiencing lower levels of educational attainment and a higher rate of school disciplinary actions compared to their White counterparts. Parental education is a known predictor of offspring educational attainment, but its effects may vary by race. Understanding the role of household [...] Read more.
Background: Racial disparities in educational outcomes persist in the United States, with Black individuals experiencing lower levels of educational attainment and a higher rate of school disciplinary actions compared to their White counterparts. Parental education is a known predictor of offspring educational attainment, but its effects may vary by race. Understanding the role of household income in mediating these effects is crucial for developing targeted policy interventions to reduce educational inequalities. Objectives: This study aimed to examine the role of household income in mediating the differential effects of maternal education on two youth educational outcomes (educational attainment by age 22 and school disciplinary action) in Black and White families. Methods: Data were drawn from the 22 years of follow-up of the Future of Families and Child Wellbeing Study (FFCWS), a longitudinal study following a cohort of children born in large U.S. cities between 1998 and 2000. Participants included 1,647 Black and 689 White young adults who were followed from birth to age 22. Maternal education, household income, family structure, and paternal incarceration were assessed at baseline (birth), and two youth educational outcomes, namely educational attainment and any school disciplinary action, were assessed at age 22 (emerging adulthood). Using structural equation modeling (SEM), mediation analysis was conducted to examine whether household income partially mediates the effects of maternal education on youth educational outcomes, with race (Black vs. White) as the moderator. Results: The results indicated that maternal education was positively associated with youth educational attainment and negatively associated with school disciplinary actions in the pooled sample that included both Black and White families. However, the effect of parental education on educational attainment at age 22 was weaker for Black than White families. Household income partially mediated racial differences in the effect of maternal education on youth educational attainment. The results suggest that lower household income in Black families is why we observe a weaker effect of parental education on youth educational attainment for Black youth compared to White youth. Conclusions: Findings suggest that the lower household income of families is one of the reasons high maternal education levels are associated with lower youth educational attainment in Black than White families. Addressing income disparities through tax policies may help reduce racial disparities in education and promote educational equity for Black youth.
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Open Access June 28, 2024

Nigeria Exchange Rate Volatility: A Comparative Study of Recurrent Neural Network LSTM and Exponential Generalized Autoregressive Conditional Heteroskedasticity Models

Abstract Business merchants and investors in Nigeria are interested in the foreign exchange volatility forecasting accuracy performance because they need information on how volatile the exchange rate will be in the future. In the paper, we compared Exponential Generalized Autoregressive Conditional Heteroskedasticity with order p=1 and q= 1, (EGARCH (1,1)) and Recurrent Neural Network (RNN) based on long [...] Read more.
Business merchants and investors in Nigeria are interested in the foreign exchange volatility forecasting accuracy performance because they need information on how volatile the exchange rate will be in the future. In the paper, we compared Exponential Generalized Autoregressive Conditional Heteroskedasticity with order p=1 and q= 1, (EGARCH (1,1)) and Recurrent Neural Network (RNN) based on long short term memory (LSTM) model with the combinations of p = 10 and q = 1 layers to model the volatility of Nigerian exchange rates. Our goal is to determine the preferred model for predicting Nigeria’s Naira exchange rate volatility with Euro, Pounds and US Dollars. The dataset of monthly exchange rates of the Nigerian Naira to US dollar, Euro and Pound Sterling for the period December 2001 – August 2023 was extracted from the Central Bank of Nigeria Statistical Bulletin. The model efficiency and performance was measured with the Mean Squared Error (MSE) criteria. The results indicated that the Nigeria exchange rate volatility is asymmetric, and leverage effects are evident in the results of the EGARCH (1, 1) model. It was observed also that there is a steady increase in the Nigeria Naira exchange rate with the euro, pounds sterling and US dollar from 2016 to its highest peak in 2023. Result of the comparative analysis indicated that, EGARCH (1,1) performed better than the LSTM model because it provided a smaller MSE values of 224.7, 231.3 and 138.5 for euros, pounds sterling and US Dollars respectively.
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Open Access June 20, 2024

Proverbs, Language and Rhetoric Features in Arabic Language and Literature

Abstract This research has deeply examined the linguistic and rhetorical features of proverbs in Arabic language and literature. By comprehensively addressing the grammatical structures, narrative techniques and rhetorical features of the parables, the study has shown how impressive and instructive these elements are. The research also analyzed the role of parables in contemporary Arabic literature and how [...] Read more.
This research has deeply examined the linguistic and rhetorical features of proverbs in Arabic language and literature. By comprehensively addressing the grammatical structures, narrative techniques and rhetorical features of the parables, the study has shown how impressive and instructive these elements are. The research also analyzed the role of parables in contemporary Arabic literature and how they approach modern social and cultural issues. The findings revealed the rich and diverse effects of parables on language and rhetoric, indicating that Arabic parables are powerful and effective literary tools in both historical and contemporary contexts. Additionally, the place of parables in contemporary Arabic literature, how this literary genre approaches social and cultural issues, and the effects of these approaches on society are detailed. In conclusion, this study highlights the effects of Arabic parables on language and rhetoric and how this literary form has evolved in modern times and its role in social communication. For future studies, it is recommended to conduct comparative analyzes with a wider range of texts and in various geographical and historical contexts. This will better reflect the cultural and historical diversity of Arabic parables and allow us to delve more deeply into the effects of modern technology and media.
Article
Open Access May 12, 2024

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

Abstract This study examines the influence of socio-demographic factors on work-family conflict among management staff in star-rated hotels in the Accra Metropolis. The research aims to explore how variables such as gender, age, marital status, and educational background impact the experiences of work-family conflict among hotel managers. A quantitative research design was employed, and data were collected [...] Read more.
This study examines the influence of socio-demographic factors on work-family conflict among management staff in star-rated hotels in the Accra Metropolis. The research aims to explore how variables such as gender, age, marital status, and educational background impact the experiences of work-family conflict among hotel managers. A quantitative research design was employed, and data were collected through structured questionnaires distributed to a purposive sample of hotel managers. The findings reveal significant associations between socio-demographic characteristics and work-family conflict, highlighting the complexities of balancing work responsibilities with family obligations in the hospitality industry. The implications of the study underscore the importance of tailored interventions to support the well-being of hotel managers, while the recommendations emphasise the implementation of work-life balance programs, support for family obligations, promotion of diversity and inclusion, and continuous training and development. It is recommended that hotel organisations create a supportive work environment that enhances the job satisfaction and productivity of their management staff. This study contributes valuable insights to the existing literature on work-family conflict in the hospitality sector and provides a foundation for future research endeavours in this area.
Article
Open Access May 01, 2024

An Appraisal of Teacher-Trainees’ Academic Self-Concept and Performance in the Colleges of Education in Ghana

Abstract This study investigates the relationship between teacher-trainees' academic self-concept and performance in Colleges of Education in Ghana. Utilizing a mixed-methods approach, data were collected from teacher-trainees in Ada and Accra Colleges of Education through surveys and interviews. The study hypothesised that there is no significant relationship between academic self-concept and academic [...] Read more.
This study investigates the relationship between teacher-trainees' academic self-concept and performance in Colleges of Education in Ghana. Utilizing a mixed-methods approach, data were collected from teacher-trainees in Ada and Accra Colleges of Education through surveys and interviews. The study hypothesised that there is no significant relationship between academic self-concept and academic performance among teacher-trainees. Results revealed a statistically significant positive relationship between academic self-concept and performance, indicating that teacher-trainees with higher academic self-concepts tend to perform better academically. Furthermore, gender differences in academic self-concept and performance were explored, with findings suggesting no significant gender disparities in either domain. Institutional factors, such as school climate and resources, were also found to influence academic performance. Recommendations include promoting positive academic self-concept, implementing gender-responsive pedagogy, and creating supportive learning environments in Colleges of Education. By addressing these factors, teacher education programs can better prepare future educators for success in the classroom and contribute to the improvement of educational quality in Ghana.
Article
Open Access March 05, 2024

The Future of Digital Drug Traceability in the Global Supply Chain

Abstract The digital drug traceability systems ensure the patient-centric dose, dosage form, and strength delivered to the patient as intended in the supply chain. It helps the digital healthcare platforms securely establish drug information supplied to patients for potential treatments. Therefore, it is important for the global supply chain to explore the number of high-end digital health solutions and [...] Read more.
The digital drug traceability systems ensure the patient-centric dose, dosage form, and strength delivered to the patient as intended in the supply chain. It helps the digital healthcare platforms securely establish drug information supplied to patients for potential treatments. Therefore, it is important for the global supply chain to explore the number of high-end digital health solutions and drug traceability to create an interactive loop on drug security for patients. This article provides an overview of advanced technologies for digital drug traceability, such as blockchain, that would establish a secure pharmaceutical supply chain for the digital world.
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Review 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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Article
Open Access December 23, 2023

Formulation, Characterization and Future Potential of Composite Materials from Natural Resources: the case of Kenaf and Date Palm Fibers

Abstract Thanks to their interesting mechanical properties, recyclability and low production costs, plant fiber-reinforced composites, derived from agricultural residues, are of particular interest to both manufacturers and scientists looking to incorporate new environmentally-friendly and biodegradable materials to replace synthetic fibers, particularly glass fibers. The growing use of these composites in [...] Read more.
Thanks to their interesting mechanical properties, recyclability and low production costs, plant fiber-reinforced composites, derived from agricultural residues, are of particular interest to both manufacturers and scientists looking to incorporate new environmentally-friendly and biodegradable materials to replace synthetic fibers, particularly glass fibers. The growing use of these composites in fields such as the automotive, construction and building industries, and soon in aeronautics, raises concerns about the reliability of the structures with which they are manufactured. This reliability must be guaranteed at the design stage, by a good knowledge of the properties of the material used. In this case, for composites, it is necessary to know the mechanical properties of their constituents, fibers and matrix, etc. In this context, this paper focuses firstly on the economic and industrial recovery of Kenaf (K) and Date Palm (DP) fibers, and secondly on their incorporation as a reinforcing element in cementitious matrix composites, for subsequent use in non-structural applications. This research highlights the development of cementitious matrix bio-composites reinforced with this type of fiber, based on Taguchi's statistical methodology, in order to minimize the cost and number of tests. The bio-composites developed are then mechanically characterized under static loading in compression and 3-point bending after a 30-day drying period.
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Article
Open Access January 07, 2024

Critical Success Factors of Cloud ERP in the Enterprise Business

Abstract Both crucial success and critical failure factors are included in the current review work. The method relies on creating surveys to collect optional data. It describes the terms that are used to obtain research papers on the ERP deployment in Enterprise Business from databases and scholarly research. In order to enhance the quality of papers, it also includes the consideration and restriction [...] Read more.
Both crucial success and critical failure factors are included in the current review work. The method relies on creating surveys to collect optional data. It describes the terms that are used to obtain research papers on the ERP deployment in Enterprise Business from databases and scholarly research. In order to enhance the quality of papers, it also includes the consideration and restriction criteria. At that time, a thorough audit of the available papers is conducted to determine the impact of ERP use in Enterprise Business. Important elements are found that determine whether ERP deployments are successful or unsuccessful, as well as how they actually affect Enterprise Business (insert actual success and failure variables here aside from impact). The time span during which research publications have been evaluated limits the scope of the study presented in this paper. One implicit drawback is that it only considers the state of the art in the field of study, without taking into account an empirical investigation. Nevertheless, its findings may prove advantageous, and the directions for future research aid in expanding the field of study. This work advances the body of knowledge regarding the potential benefits and drawbacks of ERP adoption for small and medium-sized enterprises. It uses a secondary data collection strategy to identify important success factors, important failure factors, and their impact. The insights will assist Enterprise Business, Enterprise Business' stakeholders, and ERP service providers in understanding the causes of success or failure and in taking the appropriate action.
Review Article
Open Access October 27, 2023

An Assessment of Insect Fauna on Staminate and Pistillate Flowers of Cocos nucifera: A Case of Asebu in the Central Region of Ghana

Abstract Quantitatively, this study aimed to determine the abundance and diversity of the insect fauna that visits the staminate and pistillate flowers of Cocos nucifera. The study was conducted at an experimental plantation belonging to the Coconut Research Programme (CRP) of the Oil Palm Research Institute (OPRI) of the Council for Scientific and Industrial Research (CSIR), to provide diagnostic support for the Cape St. Paul Wilt Disease (CSPWD) at Asebu in the Central Region of Ghana. The populations of coconut palms represented the dwarf type with few tall ecotypes. Five Insects were randomly chosen with newly opened inflorescences. Observations and collections of insect visitors to coconut flowers were made once a week on 30 newly opened inflorescences, five from each batch within the plantation. Specimens of the data were deposited in the official insect collection and processed at the laboratory of the Entomology Museum of the Department of Conservation Biology and Entomology, University of Cape Coast, Ghana. The study indicated that 9 different species of insects were identified to be the true fauna that visited the staminate and pistillate flowers of C. nucifera Ethiosciapus sp., Sarcophaga sp., Scolia dubia, Lucilia sp., Ornidia sp., Apis melifera, Dactylurina standingeri, Red Ant and Black Ant. These insects were observed in all the six batches considered and were available at all times of the day. Most of the insects were observed in the early morning from 6 am - 9 am followed by the evening 4 pm –7 pm. The abundance of insect visitors was low during the mid-day (11 a.m. to 3 p.m.) in all six batches during high temperatures. The results of this study revealed that there were abundances of Ethioscipus sp. was the least abundant in all the batches followed by Scolia dubia then Sarcophaga sp. Red Ants had the highest abundance in most of the Batches thus becoming the most abundant insect that forage the coconut inflorescence at the Asebu plantation. The bees, Apis melifera and Dactylurina standingeri were the most abundant species after the Red Ants. All these groups of insects were not considered in the study and it is recommended that further studies consider such visitors to observe which insects are doing what on the inflorescence. The range for the ‘time of day for’ of the study was mostly diurnal (morning 6 am-9 am, afternoon 11 am-2 pm and evening 4 pm7 pm). There was no observation made of the pollination system or activities of these insect visitors nocturnally. There may be high pollination activities of these insects during the late evenings. It is recommended that future work should incorporate the late evening period to observe an abundance of diurnal insect visitors of the coconut inflorescences.Keywords: Insect, Fauna, Staminate, Pistillate Flowers, Cocos nucifera [...] Read more.
Quantitatively, this study aimed to determine the abundance and diversity of the insect fauna that visits the staminate and pistillate flowers of Cocos nucifera. The study was conducted at an experimental plantation belonging to the Coconut Research Programme (CRP) of the Oil Palm Research Institute (OPRI) of the Council for Scientific and Industrial Research (CSIR), to provide diagnostic support for the Cape St. Paul Wilt Disease (CSPWD) at Asebu in the Central Region of Ghana. The populations of coconut palms represented the dwarf type with few tall ecotypes. Five Insects were randomly chosen with newly opened inflorescences. Observations and collections of insect visitors to coconut flowers were made once a week on 30 newly opened inflorescences, five from each batch within the plantation. Specimens of the data were deposited in the official insect collection and processed at the laboratory of the Entomology Museum of the Department of Conservation Biology and Entomology, University of Cape Coast, Ghana. The study indicated that 9 different species of insects were identified to be the true fauna that visited the staminate and pistillate flowers of C. nucifera Ethiosciapus sp., Sarcophaga sp., Scolia dubia, Lucilia sp., Ornidia sp., Apis melifera, Dactylurina standingeri, Red Ant and Black Ant. These insects were observed in all the six batches considered and were available at all times of the day. Most of the insects were observed in the early morning from 6 am - 9 am followed by the evening 4 pm –7 pm. The abundance of insect visitors was low during the mid-day (11 a.m. to 3 p.m.) in all six batches during high temperatures. The results of this study revealed that there were abundances of Ethioscipus sp. was the least abundant in all the batches followed by Scolia dubia then Sarcophaga sp. Red Ants had the highest abundance in most of the Batches thus becoming the most abundant insect that forage the coconut inflorescence at the Asebu plantation. The bees, Apis melifera and Dactylurina standingeri were the most abundant species after the Red Ants. All these groups of insects were not considered in the study and it is recommended that further studies consider such visitors to observe which insects are doing what on the inflorescence. The range for the ‘time of day for’ of the study was mostly diurnal (morning 6 am-9 am, afternoon 11 am-2 pm and evening 4 pm7 pm). There was no observation made of the pollination system or activities of these insect visitors nocturnally. There may be high pollination activities of these insects during the late evenings. It is recommended that future work should incorporate the late evening period to observe an abundance of diurnal insect visitors of the coconut inflorescences.Keywords: Insect, Fauna, Staminate, Pistillate Flowers, Cocos nucifera
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Article
Open Access August 01, 2023

An Appraisal of Epistemic Modality in Selected State of the Nation Addresses

Abstract Qualitatively, the study adopted a content analysis approach. There were eight State of the Nation addresses that the Ex-President John Kufour delivered during his tenure of office but only two of them are analysed in this study. The purposive sampling approach was used to select two State of the Nation addresses samples. The State of the Nation addresses of two years were picked for the study. [...] Read more.
Qualitatively, the study adopted a content analysis approach. There were eight State of the Nation addresses that the Ex-President John Kufour delivered during his tenure of office but only two of them are analysed in this study. The purposive sampling approach was used to select two State of the Nation addresses samples. The State of the Nation addresses of two years were picked for the study. The years are: 16th February 2001, and 14th February 2008. The qualitative data was analysed by the use of the interpretative technique based on the themes arrived at during the content analysis of the two speeches delivered by ex-president Kufour. Selective coding was used to code the occurrence of the categories of the epistemic modality expressions in the data. The epistemic modal elements as well as the sentences in which they occurred were then manually copied for further verification. These processes made the frequency count faster, more effective and more accurate. The data shows the relevant clauses or sentences containing modal expressions sampled within the contexts of epistemic meanings in the texts. The study has made it apparent that the expression of certainty is predominant. The data also indicates that the Ex-president has a greater tendency to use more modal adjuncts followed by the other modal auxiliary verb categories in expressing certainty in the selected State of the Nation Addresses during his State of the Nation Addresses. One question that arises is, why the Ex-president had a greater tendency to express more certainty in his State of the Nation Addresses. The answer is that Ex-president was fully sure and convinced of the information on the nation’s development and future programmes captured in the addresses. Thus, he appeared a confident, trustworthy and knowledgeable leader. Furthermore, the use of epistemic modality in the State of the Nation Addresses is neither haphazard nor coincidental. Instead, it is informed by reason of specific communicative intent. It is recommended that Public speakers and politicians should take the epistemic markers into consideration when writing the State of the Nation Address or any other texts in order to clarify shared opinion. It is also recommended that the Faculty of Language of the University of Education of Winneba should consider the concept of epistemic modality as a course of study in all various Language Departments including the Department of Communication Skills.
Article
Open Access June 29, 2023

Analysis of Communicative Functions of Metaphors in Selected Political Speeches

Abstract The study sought to analyze the communicative functions of metaphors in Selected political speeches of Mr. John Dramani Mahama. Critical Metaphor Analysis (CMA) developed by Jonathan Charteris-Black as an approach solely for the analysis of metaphors in political discourse was adopted as a theoretical framework for the study. The study is rooted in a qualitative research approach and grounded in [...] Read more.
The study sought to analyze the communicative functions of metaphors in Selected political speeches of Mr. John Dramani Mahama. Critical Metaphor Analysis (CMA) developed by Jonathan Charteris-Black as an approach solely for the analysis of metaphors in political discourse was adopted as a theoretical framework for the study. The study is rooted in a qualitative research approach and grounded in textual analysis as the design. The sampling method adopted in the study was purposive, and the analysis was done in line with the research question posed. The study has shown that language plays a crucial role in human existence as a means of communicating world events. The study has also revealed that in Critical Discourse Analysis, metaphor is conceived as speech actions which build together to create coherent social interactions. This study has indicated that metaphor is a cognitive phenomenon other than a purely lexical one. The study concludes that metaphor is a deep-seated conceptual phenomenon that shapes the way we think (and not just the way we speak). Working inductively from the bottom up with a metaphor, CDA has been able to reveal a rich body of facts about discourse and demonstrate that CDA follows an elaborate, but systematic, set of rules or architecture. It is recommended that future studies could explore the possibility of quantifying the frequency of the occurrence of metaphors and known end results to find out whether there is a correlation between the number of metaphors and persuasion. It is also recommended that research could also be carried out into Ghanaian politics as a discourse community with a view to unearthing language basically associated with that vocation. A study could also be conducted into the use of other rhetorical/oratorical devices, e.g. the politicians’ use of analogy in their speeches.
Article
Open Access June 11, 2023

An Appraisal of Political Speeches: Ideological Motivations in the Use of Metaphors

Abstract The purpose of this study was to examine the ideological motivations behind the use of metaphor in some selected speeches of former president John Dramani Mahama. Qualitatively, the study adopted a textual analysis research design. The study focused on Ghana’s political discourse with an emphasis on some selected speeches of former president John Dramani Mahama which were published between 4th [...] Read more.
The purpose of this study was to examine the ideological motivations behind the use of metaphor in some selected speeches of former president John Dramani Mahama. Qualitatively, the study adopted a textual analysis research design. The study focused on Ghana’s political discourse with an emphasis on some selected speeches of former president John Dramani Mahama which were published between 4th July, 2012 to 6th January, 2017. A purposive sampling technique was used to select twenty (20) speeches of former president Mahama which were predominantly couched by layers of metaphors. The data were coded and metaphorically analysed in themes with interpretations. The analysis of metaphor in this study has shown that Critical Discourse Analysis is the best methodology for the analysis of spoken text in order to find out metaphorical meanings in discourse structures. The study revealed that Mahama’s use of metaphors was motivated by discursive practices such as hope, self-glorification, superiority and dominance and establishing commonality. The study indicated that metaphors are key discourse elements that foster understanding between and among participants in a political context. The study found that Mahama employs intertextuality as a rhetorical device. It is recommended that future researchers should devote time to look at the ideological implications of the use of intertextuality by Mahama.
Article
Open Access February 03, 2023

Structural Vector Autoregressive Analysis of Crude Oil Price Shocks on Ghana’s Economy

Abstract The paper analyses the extent to which crude oil price shocks impact GDP growth, exchange rate, interest rate and inflation of an emerging oil exporting economy, Ghana. The Structural Vector Autoregressive model is used to analyse the quarterly data from 2009q1 – 2020q4. The results showed that exchange rate and GDP growth respond positively but temporal to the impulse of crude oil price. In [...] Read more.
The paper analyses the extent to which crude oil price shocks impact GDP growth, exchange rate, interest rate and inflation of an emerging oil exporting economy, Ghana. The Structural Vector Autoregressive model is used to analyse the quarterly data from 2009q1 – 2020q4. The results showed that exchange rate and GDP growth respond positively but temporal to the impulse of crude oil price. In contrast, inflation and interest rate respond negatively to crude oil price shock. Specifically, the exchange rate appreciates in the initial quarter and begins to depreciate, whereas GDP growth experiences an increase in the first two quarters and also reduces afterwards. Crude oil price shocks to the Ghanaian economy follow the conventional behaviour of the impact of crude oil on macroeconomic indicators. The positive impact of the price shock on GDP growth and exchange rate is not much reflecting the fact that Ghana is an emerging oil-producing country with low production and export level. Ghana’s prospects in the oil and gas sector should not just be a mere hoax. Policies should be directed toward petroleum exploration and production efforts since the energy transition endanger benefits for future exploitation. Policies should be implemented to attract competitive players locally and internationally in the oil industry. The shock of crude oil prices is beginning to show evidence based on this study. Therefore government must consider recognising the importance of other economic sectors in order not be become heavily dependent on oil.
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Article
Open Access December 28, 2022

It’s time for reimagining the future of food security in sub–Saharan Africa: Gender-Smallholder Agriculture-Climate Change nexus

Abstract There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs [...] Read more.
There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs and technology adoption in order to increase agricultural production and productivity, hence strengthening food security. The current opinion piece attempts to contribute to this debate by examining smallholder agriculture and its role to African food security. This discussion proposes a future paradigm shift toward a gendered climate-smart smallholder agriculture and food production and security conceptual framework based on the promotion and development of smallholder agriculture and food production and security. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For Africa, today’s predicament is to ensure food security for the anticipated rapid population expansion, while on the other hand handling an overall net adverse effect of worldwide global climate change, and increased socio-economic ills associated with gender inequality in smallholder agriculture and ensuring long-term agriculture sustainable development. The failure to address gender inequality in smallholder agriculture and food production and pontificate of global climate change effect has thrown Sub-Saharan Africa into a state of perpetual food scarcity and insecurity because of low agricultural productivity and food supply, and by force of circumstances exposing the agricultural communities and its people to extreme poverty and nutrition and food insecurity. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For this purpose, this discussion proposes a future paradigm shift towards a gendered climate-smart smallholder agriculture and food production and security conceptual framework hinged on the promotion and development of the micro-livestock and/or unconventional animal species sub-sector to strengthen food security on the continent. Overall, the discussion emphasizes the importance of taking immediate action to alleviate the negative effects of climate change and address gender inequality through promotion of micro livestock to assist in the development of long-term adaptation measures to maintain smallholder agricultural productivity.
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Review Article
Open Access December 25, 2022

Cancer Risk Assessment Tools in Primary Care Settings: An Integrative Review

Abstract Background: There are currently numerous risk instruments available to aid in predicting the present or future chance of getting a cancer diagnosis. It aids in determining a person's likelihood of developing certain cancers by looking at various risk factors, including environmental, behavioral, and genetic. Aim: To analyze the effectiveness of cancer risk assessment techniques [...] Read more.
Background: There are currently numerous risk instruments available to aid in predicting the present or future chance of getting a cancer diagnosis. It aids in determining a person's likelihood of developing certain cancers by looking at various risk factors, including environmental, behavioral, and genetic. Aim: To analyze the effectiveness of cancer risk assessment techniques utilized in primary care settings. Methods: An integrative review of literature Results: Five (5) studies were met the criteria based on the inclusion and exclusion criteria. These tools demonstrated effectiveness in improving patient outcomes and serving as useful therapeutic tools in the primary care setting. Conclusion: Advantages that may aid clinicians in the primary care setting in validating the diagnosis and assisting patients in determining the early signs and symptoms in the diagnosis of cancer. The role of assessment tools can enhance the reliability and caliber of clinical judgment, which can enhance patient outcomes. Implications: The role of healthcare professionals, such as oncologists, nurses, and the healthcare team, on cancer risk assessment in the primary care setting across the lifespan is crucial to ensure a care plan tailored to each patient’s needs.
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Review Article
Open Access December 23, 2022

Climate Change's Impact on Agriculture and Food Security: An Opportunity to Showcase African Animal Genetic Resources

Abstract One of the current issues facing humanity is ensuring sustained global food security in the face of devastating effects of climate change; this challenge is particularly pressing on the African continent. Here, I present an opinion piece identifying local animal genetic resources as "African leverage point" that provide the highest chances to cushion rural fork to climate change, enhance [...] Read more.
One of the current issues facing humanity is ensuring sustained global food security in the face of devastating effects of climate change; this challenge is particularly pressing on the African continent. Here, I present an opinion piece identifying local animal genetic resources as "African leverage point" that provide the highest chances to cushion rural fork to climate change, enhance environmental sustainability and food security in Africa. When it comes to boosting food production, coping with climate change, or bolstering the delivery of a wide range of ecosystem services, I believe that African animal genetic resources are essential alternatives for the sustainable growth of the livestock industry and its contribution to food security. Africa needs to address the support and development of indigenous animal genetic resources in order to meet the basic food needs of more than 1 billion people, address numerous environmental issues with continental implications, and focus on more effective and resilient food systems with the greatest impact on food security. The indigenous animal resources diversity and support actions to this unique group could provide a boost in protein that is lacking to constitute healthy diets in Africa. The priorities of nonprofit organizations, foundations, governments, citizens' groups, and companies can be influenced by this leverage point in the African food system. Due to continuous food insecurity, which appears to be becoming worse with climate change and makes it even harder to accomplish the SDGs on the continent, Africa has paid a hefty price for being misled about the worth of its own animal genetic resources. To the contrary, it is highly improbable that a strategy to improve food security and rural livelihoods that undermines the utilization of indigenous animal genetic resources will be viable in long-term. If Africa makes an effort, is committed, and fully commits resources to putting indigenous animal genetic resources at the forefront of combating food insecurity and accelerating the achievement of SDGs, it can achieve more under the adverse prevailing climate change induce environmental conditions. Our personal opinion is that we would not have had the ongoing food problems, even in the face of climate change, if Africa had over the years implemented the necessary mechanisms to develop and promote local animal genetic resources. What lies ahead in terms of climate change effect on food security in Africa is anyone's guess – but whatever it is, promoting continental adapted indigenous animal genetic resources portfolio is ready to handle it. Development and promotion of African animal genetic resources should be part of a continental strategy to transform smallholder animal production by 2050, in line with the goals of achieving the SGDs, to improve rural household food security, and bringing rural economy prosperity, resilience, sustainability, and all other desired animal related food outcomes for rural healthy diets. African animal genetic resources are the most important but underutilized resource to address the issue of ongoing food insecurity. The responsible use of local animal genetic resources through climate smart animal husbandry practices also contributes to food security, rural development and increased employment opportunities. African genetic improvement programs involving indigenous animal genetic resources must be considered as regards to local agriculture and livestock development aspirations, appropriateness to local reality and livelihood security, as well as environmental friendliness. Animal agriculture will fill in the enormous gaps in the continent's food supply if this animal group receives adequate attention and is used integrated properly in crop and livestock systems which characterize smallholder farming sector in Africa. Because they have evolved over time to accommodate the various climatic conditions and environmental pressures on the continent, Africa's native animal genetic resources are particularly resilient. Indirectly, the impact of climate change offers a chance to use native animal genetics from Africa. The use of local animal genetic diversity has the potential to substantially improve Africa's food security landscape hence should be given special consideration for sociocultural, environmental, and economic aspects, and with regard for smallholder farmer-specific factors of interest. African animal genetic resources have contributed significantly to the food and nutrition security aspects of the millions of people in their communities of origin and custody in Africa. The purpose of the perception piece is to educate the reader about the fundamental mechanisms that control the use of continental animal genetic resources and how the outlook for these mechanisms can be manipulated in the future for the benefit of improving food security in Africa. The discussion provides in-depth insight into the pertinent literature in understanding the significance of local animal genetic resources in terms of their contribution to food security in Africa.
Perspective
Open Access December 22, 2022

Climate Change Impact on Small-Scale Animal Agriculture: Livestock Water & Food Security in Africa

Abstract Water is essential for food security and animal agricultural productivity, but it is becoming more scarce due to climate change. The interaction between climate change and livestock water resources has received little attention from researchers, despite the significance of small-scale animal husbandry for the rural poor in Africa and the size of the changes that are anticipated to have an impact [...] Read more.
Water is essential for food security and animal agricultural productivity, but it is becoming more scarce due to climate change. The interaction between climate change and livestock water resources has received little attention from researchers, despite the significance of small-scale animal husbandry for the rural poor in Africa and the size of the changes that are anticipated to have an impact on smallholder livestock systems. Threats to livestock water are undoubtedly one of the most significant environmental issues that have impacted food security on the continent, given their links to small-scale animal husbandry and the detrimental impacts on productivity. In order to balance the negative effects of climate change scenarios for sustainable animal productivity and contribute to food security through small-scale animal agriculture, the most climate-smart and resilient agricultural water practices and technologies must be used. Changes in rainfall and a decline in the biomass available for grazing and rangelands as a result of water stress brought on by the climate would have the most severe effects. This is due to the rain-fed nature of small-scale livestock farming. The local animal genetic resources are essential for animal productivity and food security in Africa, particularly in areas where livestock water is becoming scarce owing to climate change. Research and development goals on the effects of climate change on livestock water, animal productivity, and food security may need to be reviewed if demands of vulnerable small-scale animal producers are to be successfully addressed in the future decades. It is best to use an interdisciplinary approach to comprehend the relationships between small-scale animal husbandry, food security, and climate change. By navigating the complexities of climate adaptation, small-scale livestock farmers can manage livestock water scarcity by taking adaptation measures that are in line with evolving climate impacts and associated means of implementation based on pertinent and useful knowledge that takes into account a blend of traditional and modern water science. In this paper, an effort is made to close some significant information gaps and shed light on how water-induced stress impacts small-scale animal production, which has an effect on food security.
Review Article
Open Access December 14, 2022

Applying Artificial Intelligence (AI) for Mitigation Climate Change Consequences of the Natural Disasters

Abstract Climate change and weather-related disasters are speeded very fast in the last decades with the consequences bringing to humanity: insecurity, destructing the ecological systems, increasing poverty, human victims, and economical losses everywhere on the planet. The innovative methods applied to mitigate the magnitudes of natural disasters and to combat effectively their negative impact consist of [...] Read more.
Climate change and weather-related disasters are speeded very fast in the last decades with the consequences bringing to humanity: insecurity, destructing the ecological systems, increasing poverty, human victims, and economical losses everywhere on the planet. The innovative methods applied to mitigate the magnitudes of natural disasters and to combat effectively their negative impact consist of remote and earth constantly monitoring, data collection, creation of models for big data extrapolation, prediction, in-time warning for prevention, and others. Artificial intelligence (AI) is used to deal with big data, for calculations, forecasts, predictions of natural disasters in the near future, the establishment of the possibilities to escape the hazards or risky situations, as well as to prepare the human being for adverse changes, and drawing the different choices as assistance the right decision to be accepted. Many projects, programs, and frameworks are adopted and carried out the separate governments and business makers to common goals and actions for the formation of a friendly environment and measures for reducing undesired climate alterations and cataclysms. The aim of the article is to review the last programs and innovations applied in the mitigation of climate change using AI.
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Brief Review
Open Access November 10, 2022

Modeling and Forecasting Cryptocurrency Returns and Volatility: An Application of GARCH Models

Abstract The future of e-money is crypocurrencies, it is the decentralize digital and virtual currency that is secured by cryptography. It has become increasingly popular in recent years attracting the attention of the individual, investor, media, academia and governments worldwide. This study aims to model and forecast the volatilities and returns of three top cryptocurrencies, namely; Bitcoin, Ethereum [...] Read more.
The future of e-money is crypocurrencies, it is the decentralize digital and virtual currency that is secured by cryptography. It has become increasingly popular in recent years attracting the attention of the individual, investor, media, academia and governments worldwide. This study aims to model and forecast the volatilities and returns of three top cryptocurrencies, namely; Bitcoin, Ethereum and Binance Coin. The data utilized in the study was extracted from the higher market capitalization at 31st December, 2021 and the data for the period starting from 9th November, 2017 to 31st December 2021. The Generalised Autoregressive conditional heteroscedasticity (GARCH) type models with several distributions were fitted to the three cryptocurrencies dataset with their performances assessed using some model criterion tests. The result shows that the mean of all the returns are positive indicating the fact that the price of this three crptocurrencies increase throughout the period of study. The ARCH-LM test shows that there is no ARCH effect in volatility of Bitcoin and Ethereum but present in Binance Coin. The GARCH model was fitted on Binance Coin, the AIC and log L shows that the CGARCH is the best model for Binance Coin. Automatic forecasting was perform based on the selected ARIMA (2,0,1), ARIMA (0,1,2) and the random walk model which has the lowest AIC for ETH-USD, BNB-USD and BTC-USD respectively. This finding could aid investors in determining a cryptocurrency's unique risk-reward characteristics. The study contributes to a better deployment of investor’s resources and prediction of the future prices the three cryptocurrencies.
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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 November 03, 2022

5-fluorouracil Improves the Testicular Antioxidant Status and Alleviates Oxidative Stress in Male Albino Rats Treated with Cyclophosphamide

Abstract The therapeutic effect of Cyclophosphamide (CPA) is thus attributed to phosphoramide mustard and acrolein leads to the formation of high levels of reactive oxygen species (ROS), which results in decreased antioxidant activity. Excessive production of ROS could also culminate in oxidative stress. Objectives: This study aims to evaluate the effect of sub-lethal dose of the [...] Read more.
The therapeutic effect of Cyclophosphamide (CPA) is thus attributed to phosphoramide mustard and acrolein leads to the formation of high levels of reactive oxygen species (ROS), which results in decreased antioxidant activity. Excessive production of ROS could also culminate in oxidative stress. Objectives: This study aims to evaluate the effect of sub-lethal dose of the cyclophosphamide, 5-FU, combination of 5-FU, and CPA on testicular antioxidant status, and oxidative stress in male albino rats. Materials and Methods: Twenty-eight male adult rats were grouped randomly into four groups (n=5 each group). Group I (control): Rats were injected with saline intraperitoneally and at a dose of 1.0 ml/kg b.w. for 14 days. Group II cyclophosphamide (CPA): Cyclophosphamide at a dose of 10 mg/kg day by day through i.p. to rats for 14 days. Group III Fluorouracil (5-FU): 5-Fluorouracil at a dose of 10 mg/kg day by day in saline was given through i.p. to rats for 14 days. Group IV (CPA+5-FU): Rats were given CPA followed by 5-FU at a dose of 10 mg/kg per day (day by day) through i.p. to rats for 14 days. At the end of the experimental period, rats were anesthetized using light ether. Blood and testes tissue samples were taken and prepared for biochemical measurements. Biochemical parameters in rat serum and tissues were evaluated. Results: Individual injection of CPA and 5-FU to rats were reduced testes TAC, GSH concentration, GR, and CAT activities compared to control. However, the combination treatment of rats with 5-FU and CPA increased the levels of these non-enzymatic and enzymatic antioxidant compared with those treated with CPA alone. Also, results showed significantly increased TBARS and NO concentration in the testes of CPA treated rats when compared to normal ones, while 5-FU increased NO only compared with the control. Conclusion: It can be concluded that treatment of rats with CPA is associated with the production of free radicals that leads to hazardous alterations in certain non-enzymatic, and enzymatic functions. The increase in lipid peroxidation probably leads to the intracellular accumulation of ROS with the subsequent development of testes tissue injury. However, 5-FU and CPA combination could produce a significant amelioration in most cases for these changes, and it may be considered as a potentially useful candidate in the combination chemotherapy with CPA to combat oxidative stress mediated non target organs injury even if it was not a complete protection. Future work should consider combined chemotherapy regimens, as two or more mechanisms of action of chemotherapeutic drugs could be more powerful than one mechanism.
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Open Access October 25, 2022

Post COVID-19 Symptoms?

Abstract The SARS-COV-2 rapid spread caused an international public health emergency with unprecedented rates of morbidity and mortality. Post COVID-19 condition occurs as a spectrum of symptoms that present four or more weeks after acute infection with SARS-CoV-2. Most published data to date state 50-70% of hospitalized patients experienced at least one post-acute COVID-19 symptom up to 3 months after [...] Read more.
The SARS-COV-2 rapid spread caused an international public health emergency with unprecedented rates of morbidity and mortality. Post COVID-19 condition occurs as a spectrum of symptoms that present four or more weeks after acute infection with SARS-CoV-2. Most published data to date state 50-70% of hospitalized patients experienced at least one post-acute COVID-19 symptom up to 3 months after discharge. Commonly reported symptoms include; neurocognitive post COVID-19 (fatigue, dizziness, inattention, and brain fog), respiratory post-COVID (dyspnea, chest pain, and cough), and mental health related symptoms (insomnia, depression, and post-traumatic stress disorder). Additionally, gastro-intestinal post COVID-19 (diarrhea, vomiting, and abdominal pain) along with decline in quality of life and decreased ability to perform activities of daily living were reported. The response to post COVID-19 symptoms is still in its infancy despite being an emerging crisis as scientific evidence and robust data are nonetheless required for clear definition, identification of time frame, classification and management of the condition. New studies are needed to identify total and individual incidence/prevalence rates of different clinical presentations of post COVID-19 symptoms. These future studies will help us to o improve early recognition of long term symptoms after acute infection of COVID-19.
Mini Review
Open Access October 15, 2022

Cyclophosphamide Induces Hepatorenal Toxicity and Attenuation by 5-fluorouracil in Male Albino Rats

Abstract Background: Cyclophosphamide (CPA) induces acute inflammation of the urinary bladder, renal damage, and liver damage, thereby limiting its therapeutic use. Objectives: The present study aimed to evaluate the hepatorenal toxicity induced by cyclophosphamide and amelioration by 5-fluorouracil in male albino rats. Materials and Methods: Twenty-eight male adult rats were [...] Read more.
Background: Cyclophosphamide (CPA) induces acute inflammation of the urinary bladder, renal damage, and liver damage, thereby limiting its therapeutic use. Objectives: The present study aimed to evaluate the hepatorenal toxicity induced by cyclophosphamide and amelioration by 5-fluorouracil in male albino rats. Materials and Methods: Twenty-eight male adult rats were grouped randomly into four groups (n=5 for each group). Group I (control): Rats were injected with saline intraperitoneally and at a dose of 1.0 ml/kg b.w. for 14 days. Group II cyclophosphamide (CPA): Cyclophosphamide at a dose of 10 mg/kg day by day through i.p. to rats for 14 days. Group III Fluorouracil (5-FU): 5-Fluorouracil at a dose of 10 mg/kg day by day in saline was given through i.p. to rats for 14 days. Group IV (CPA+5-FU): Rats were given CPA followed by 5-FU at a dose of 10 mg/kg per day (day by day) through i.p. to rats for 14 days. At the end of the experimental period, rats were anesthetized using light ether. Blood samples were taken and prepared for biochemical measurements. Results: Serum total protein, albumin, and globulin concentration significantly reduced in animal groups that received cyclophosphamide. 5-FU and CPA combination reduced the changes in total protein, albumin, and globulin compared to CPA treated group. A significant increase in LDH serum concentration was found in CPA, 5-FU, and their combination-treated animals. The mean values of the combination of chemotherapy were above that in CPA followed by 5-FU treatment. Administration of CPA, 5-FU resulted in a significant increase in serum AST, ALT, ALP, and bilirubin compared to the control. Co-treatment 5-FU with CPA significantly attenuated the increase in serum AST, ALT, ALP, and bilirubin when compared to CPA – treated rats. Compared to controls, urea and creatinine levels were increased in CPA-treated rats, while uric acid was reduced in CPA, 5-FU, and their combination. The changes in urea and creatinine produced by the chemotherapy were restored when rats received CPA in combination with 5-FU. Conclusion: It could be concluded that the treatment of mammals with chemotherapy is associated with the production of free radicals that lead to hazardous alterations in biochemical parameters. However, 5-FU and CPA combination could produce a significant amelioration in most cases for these changes, and it may be considered as a potentially useful candidate in the combination chemotherapy with CPA to combat oxidative stress-mediated non-target organ injury even if it was not complete protection. Future work should consider combined chemotherapy regimens, as two or more mechanisms of action of chemotherapeutic drugs could be more powerful than one mechanism. Toxicological studies must be performed before using drugs as a combination before application. Further research is required on the toxicological impacts of drugs and pollutants mixtures.
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Open Access September 28, 2022

5-Fluorouracil Ameliorates the Hematotoxicity Induced by Cyclophosphamide in Male Albino Rats

Abstract Background: Cyclophosphamide (CPA) is a drug with a wide spectrum of clinical uses. Its effectiveness in the treatment of cancer (acute and chronic leukemias, lymphoma, and multiple myeloma) and non-malignant diseases such as rheumatoid arthritis and vasculitis has been well established. Objectives: The present investigation aimed to study the effect of a sub-lethal dose of the [...] Read more.
Background: Cyclophosphamide (CPA) is a drug with a wide spectrum of clinical uses. Its effectiveness in the treatment of cancer (acute and chronic leukemias, lymphoma, and multiple myeloma) and non-malignant diseases such as rheumatoid arthritis and vasculitis has been well established. Objectives: The present investigation aimed to study the effect of a sub-lethal dose of the cyclophosphamide, 5-FU combination of 5-FU, and CPA on haematological parameters in the albino rats. Materials and Methods: Twenty-eight male adults were grouped randomly into four groups (n=5 in each group). Group I (control): Rats were injected with saline intraperitoneally at a dose of 1.0 ml/kg b.w. for 14 days. Group II cyclophosphamide (CPA): Cyclophosphamide at a dose of 10 mg/kg day by day through i.p. to rats for 14 days. Group III Fluorouracil (5-FU): 5-Fluorouracil at a dose of 10 mg/kg day by day in saline was given through i.p. to rats for 14 days. Group IV (CPA+5-FU): Rats were given CPA followed by 5-FU at a dose of 10 mg/kg per day (day by day) through i.p. to rats for 14 days. At the end of the experimental period, rats were anesthetized using light ether. Blood samples were taken for hematological evaluation. Results: White blood cells, hemoglobin content and red blood cell counts were significantly decline in rats treated with individual treatment with CPA and 5-FU in comparison to the control group, while the Combination antagonize the changes produced by CPA in hemoglobin and red blood cell counts. Intraperitoneal individual treatment with CPA and 5-FU in rats caused a significant reduction in the hematocrit and platelet. The reductions in these measured hematological parameters were also significantly and slightly ameliorated when the animals were given a combination of CPA and 5-FU. Cyclophosphamide and 5-FU individually reduced lymphocytes, neutrophils, eosinophils, and monocytes; while the combination of CPA and 5-FU antagonized these changes compared to CPA treated group. Conclusion: It could be concluded that the treatment of mammals with chemotherapy is associated with the production of free radicals that lead to hazardous alterations in hematological parameters. However, 5-FU and CPA combination could produce a significant amelioration in most cases for these changes. Future work should consider combined chemotherapy regimens, as two or more mechanisms of action of chemotherapeutic drugs could be more powerful than one mechanism. Using cyclophosphamide and 5-fluorouracil in combination may reduce cyclophosphamide’s side effects when given individually.
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Open Access September 14, 2022

Global Peace Equation (GPE)

Abstract Despite all these subtle sciences and the wide disciplines that have been discovered and developed by man throughout history, we still suffer from wars and the lack of world peace ... Here comes the big question: How can all these sciences not produce world peace? ... Here comes the great answer to this new century for future generations: I think there is incomplete science that we have not yet [...] Read more.
Despite all these subtle sciences and the wide disciplines that have been discovered and developed by man throughout history, we still suffer from wars and the lack of world peace ... Here comes the big question: How can all these sciences not produce world peace? ... Here comes the great answer to this new century for future generations: I think there is incomplete science that we have not yet discovered ... whose role will be to activate the international community and bring about international balance and peace... Through an international equation that could be called the "global peace equation".
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Discussion
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 23, 2022

Labial-Palatalization and Tone: A Critical Overview in Akuapem Phonology

Abstract This paper addresses the labial-palatalization process in Akuapem, a dialect of Akan. In this paper, we study the labial-palatalization, and the tonal processes related to the verbal prefix bɛ when cliticized to reduplicative verbs in the Akuapem dialect of Akan. Based on labial-palatalization, it is not all the Akuapem dialect that labial-palatalizes a C in a CUa/e string that triggers the [...] Read more.
This paper addresses the labial-palatalization process in Akuapem, a dialect of Akan. In this paper, we study the labial-palatalization, and the tonal processes related to the verbal prefix bɛ when cliticized to reduplicative verbs in the Akuapem dialect of Akan. Based on labial-palatalization, it is not all the Akuapem dialect that labial-palatalizes a C in a CUa/e string that triggers the labial-palatalization process. The study also concluded that when the verbal prefix or the modal marker bɛ is cliticized to reduplicated class I verbs, all the reduplicant and the base form of the verb assume different tonal melody in all the sub-dialect of Akuapem.
Critical Overview
Open Access August 02, 2022

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

Abstract The purpose of the study was to investigate the causes, effects, and management of science anxiety among Senior High School (SHS) students in the Old Tafo Metropolis of the Ashanti Region of Ghana. The descriptive survey research design was adopted for the study. A sample of 337 students were selected from Osei Kyeretwie Senior High School and Al Azhariya Islamic Senior High School using the [...] Read more.
The purpose of the study was to investigate the causes, effects, and management of science anxiety among Senior High School (SHS) students in the Old Tafo Metropolis of the Ashanti Region of Ghana. The descriptive survey research design was adopted for the study. A sample of 337 students were selected from Osei Kyeretwie Senior High School and Al Azhariya Islamic Senior High School using the stratified random sampling procedure. Data were collected by using the Science Anxiety Scale and analysed using descriptive and inferential statistics. The study revealed that the respondents had some level of science anxiety in relation to doing science homework, having a negative attitude toward the science teacher, having fearful when entering the science classroom as well as solving science problems. The study also revealed that the causes of science anxiety involve the content, lack of infrastructure, and inadequate teaching and learning materials to make the subject easy to understand. The study revealed that science anxiety affected students’ academic performance negatively, reduced their interest in science, prevent them from pursuing science programmes in the future, and also affected school attendance. The study recommended that school heads should provide the necessary infrastructure and teaching materials that will make the teaching and learning of science practical and easy to understand.
Article
Open Access July 10, 2022

Digital Therapeutics in Oncology: A Better Outlook for Cancer Patients in the Future

Abstract Digital therapeutics (DTx) is an evidence-based treatment that makes use of high-quality software. As many healthcare systems confront increasing expectations for quality results, the need for digital medications is steadily growing in the clinical arena. To ensure that patients are supported during chemotherapy and that needless hospital visits are avoided, digital therapeutics must be integrated [...] Read more.
Digital therapeutics (DTx) is an evidence-based treatment that makes use of high-quality software. As many healthcare systems confront increasing expectations for quality results, the need for digital medications is steadily growing in the clinical arena. To ensure that patients are supported during chemotherapy and that needless hospital visits are avoided, digital therapeutics must be integrated into the cancer care pathway. Oncology patients are usually immunocompromised die to their disease and treatment, rendering them more susceptible to infection than the general population. As a result, visiting to a hospital might endanger their health. In addition, when cancer patients and survivors return home after treatment, digital health interventions provide them with the tools they need to manage their illness and its side effects in the privacy of their own homes. Considering the increasing prevalence of cancer patients and the solution that digital therapeutics has to offer in oncology, its future looks promising. This review article aims to summarize the existing companies in this domain, while evaluating the prospects as well.
Review Article
Open Access June 27, 2022

Development of Cellulose Nanofibre (CNF) Coating on (1) Metal Surface for Free Standing CNF Film and (2) Paper Substrates for CNF Barrier Laminates

Abstract Paper is widely used in packaging applications and is biodegradable and therefore perfectly safe as green packaging wrap for the environment. The hydrophilic nature of cellulose fibrils limits the water vapour and oxygen barrier properties of paper. To mitigate these limitations, paper is often associated with other materials, such as plastics, wax and aluminum, for achieving their good barrier [...] Read more.
Paper is widely used in packaging applications and is biodegradable and therefore perfectly safe as green packaging wrap for the environment. The hydrophilic nature of cellulose fibrils limits the water vapour and oxygen barrier properties of paper. To mitigate these limitations, paper is often associated with other materials, such as plastics, wax and aluminum, for achieving their good barrier properties. However, these materials suffer from serious environmental issues, as difficult and inefficient to recycle. Recently, cellulose nanofibre (CNF) based materials has been considered as an alternative to produce eco-friendly barrier materials. Existing techniques to prepare cellulose nanofibre films/sheets/composites/ laminates on the paper substrates are commercially not feasible and expensive. Therefore, other cost effective and readily implementable methodologies are required to achieve cellulose nanofibre barrier layers. In the present report, a novel approach is developed using spray coating technique to produce CNF materials with excellent barrier properties. Among many coating techniques, the spray coating has many advantages such as the production of even coating surface on the base sheet and contactless coating with the substrate. A laboratory scale spray coating of cellulose nanofibre suspension on a paper substrate was developed. When the cellulose nanofibre suspension concentration was varied from 0.5 to 1.5 wt. %, coat weight is increased from 2.9±0.7 to 29.3±6.9 g/m2. As a result, the air permeability of composite was decreased 0.78±0.17 to <0.0030 µm/Pa.s. Scanning electron microscopy studies of spray coated CNF laminates on the paper confirms that the surface pores in the paper substrates are filled with sprayed cellulose nanofibre and forms a continuous film on the surface of the substrate. These are the probable reasons for the reduction of air permeability of composites. A rapid preparation technique to prepare free standing cellulose nanofibre films/sheets was also developed using a bench scale spray coating system. Cellulose nanofibre suspension with concentration ranging from 1 to 2 wt% was sprayed onto a stainless steel plate, which is moving on a conveyor at a velocity of 0.32 cm/sec and then air dried. The basis weight of produced cellulose nanofibre films is varied from 52.8±7.4 to 193.1±3.4 g/m2. Processing time taken to prepare films was approximately 1.0 min, which is much less than processing times reported in the previous literature. Thus, the significant reduction in preparation time for producing the cellulose nanofibre sheet recommends that this spray coating technique can be utilized for the development of a scalable process for the fabrication of various cellulose based nanocomposite. Therefore, the laboratory scale spray coating confirms that the spraying could provide a platform for development of films/sheets/nanocomposite and also a CNF barrier layer on the base sheet. The future work is the development of a continuous spray coating of cellulose nanofibre on the base sheet and evaluation of mechanical and barrier properties spray coated barrier layers on the base sheet.
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Open Access June 26, 2022

Role of Electronic Components in Computing

Abstract Electronics and computer engineering is a scientific and technical field in which electronic and computer systems are studied and their use. They are related to the technical professions within which electronic devices, systems, and computer programs are realized. The past half-century has been greatly marked by the development of electronics, computing, and their application in communications, [...] Read more.
Electronics and computer engineering is a scientific and technical field in which electronic and computer systems are studied and their use. They are related to the technical professions within which electronic devices, systems, and computer programs are realized. The past half-century has been greatly marked by the development of electronics, computing, and their application in communications, medicine, and industry. This field has become the fundamental technical infrastructure of modern society. Today, there is almost no electronic device that does not use an electronic computer, and there is also not a single computer that is almost exclusively made of electronic components. This article explores the need for electronic components in digital computing.
Tutorial
Open Access May 22, 2022

Prevalence and predictors of physical activity among female high school students in The Gambia: an institutional-based cross-sectional study

Abstract Background: Everyone, irrespective of age, sex, colour, ethnicity, or present overall fitness level, can benefit from regular exercise. To improve one's health, one must engage in regular physical activity. People with underlying illnesses like long-term impairment can benefit from regular physical activity at the individual level, especially young women. Thus, the current study aimed to [...] Read more.
Background: Everyone, irrespective of age, sex, colour, ethnicity, or present overall fitness level, can benefit from regular exercise. To improve one's health, one must engage in regular physical activity. People with underlying illnesses like long-term impairment can benefit from regular physical activity at the individual level, especially young women. Thus, the current study aimed to assess the prevalence and determinants of physical activity among female school-aged adolescents in the West Coast Region of The Gambia. Methods: The present study used an institutional-based cross-sectional analytical study to collect quantitative data from 384 female high school students in The Gambia. The study used a content-validated, pretested structured questionnaire that consisted of both open and closed-ended questions on physical activity. The data were processed and analyzed using IBM SPSS version 26.0. Descriptive statistics and Chi-square and/or Fisher exact test were used with a p-value <0.15 for inclusion in the logistic regression model. Adjusted odds ratios (aORs) and 95% confidence intervals were calculated, while p-value <0.05 was considered for statistical significance. Results: The proportion of female students involved in physical activity was 37.5%. The mean age of students was 18.8 years with a standard deviation of 1.7 years. Factors such as female students between 17 – 20 years (aOR:3.05, 95% C.I. (1.807 – 5.138)), father never been to school (aOR: 2.82, 95% C.I. (1.495 – 5.334)), primary education (aOR: 2.15, 95% C.I. (1.027 – 4.493)), upper basic school (aOR: 2.31, 95% C.I. (1.055 – 5.074)) and science major students (aOR: 2.21, 95% C.I. (1.203 – 4.047)) had increased odds of involving in PA. Furthermore, students who knew that exercise would strengthen bones (aOR: 2.62, 95% C.I (1.444 – 4.739)), do a planned brisk walking (aOR: 19.16, 95% C.I. (6.698 – 54.811)), basketball/football (aOR: 29.76, 95% C.I. (10.004 – 88.512)) and skipping with rope (aOR: 29.15, 95% C.I. (9.726 – 87.333)) had increased odds to involved in PA after controlling for confounders. Other factors such as students whose mother never been to school (aOR: 0.31, 95% C.I. (0.140 – 0.674)), primary level (aOR: 0.25, 95% C.I. (0.123 – 0.518)), senior secondary level (aOR: 0.42, 95% C.I. (0.189 – 0.935)), nuclear family (aOR: 0.23, 95% C.I. (0.119 – 0.458)) and extended family (aOR: 0.45, 95% C.I. (0.225 – 0.915)) had reduced odds of involving in PA. Conclusion: There is low physical activity among female adolescents in schools. For this, it is imperative that suitable interventions be implemented to raise the level of physical activity among secondary school students. A future intervention for school-aged adolescents could benefit from these findings.
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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 March 20, 2022

Botanical education for vocational training students and primary and secondary teacher

Abstract A domain of practical learning over the theoretical is provided in this work, for this several places of natural interest have been studied (Natural Parks), a quality pedagogical training is obtained, through which the students of Vocational Training and Primary and Secondary Education Teachers obtain competences in the management of natural spaces, which are of interest for conservation, [...] Read more.
A domain of practical learning over the theoretical is provided in this work, for this several places of natural interest have been studied (Natural Parks), a quality pedagogical training is obtained, through which the students of Vocational Training and Primary and Secondary Education Teachers obtain competences in the management of natural spaces, which are of interest for conservation, competences in flora, plant communities, habitats and interpretation of the landscape. The learning is eminently practical, which allows trained personnel to enter the labor market. The study of natural spaces has been carried out using direct observation techniques, with the participation of specialist teachers in various fields, because the interpretation of vegetation, habitats and landscape requires multidisciplinary techniques. For this, teaching methodologies in Botany are used, how have the phytosociological sampling techniques been; Geology, Edaphology, and Climatology, in the latter case creating future predictive models that allow the student to make decisions about the management of a territory; this study has made it possible to carry out a comprehensive interpretation of the natural environment, with a notable pedagogical improvement in learning.
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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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Review Article
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 27, 2021

Nurses’ Recognition for Care for Patients in Psychiatric Wards

Abstract Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide and it has been a widespread concern. Japan had some problems in psychiatric wards such as long hospital stay. The purpose of this study investigated recognition of nurses in psychiatric wards for future care. We conducted questionnaire research for psychiatric nurses and they described recognition of nursing in free description. [...] Read more.
Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide and it has been a widespread concern. Japan had some problems in psychiatric wards such as long hospital stay. The purpose of this study investigated recognition of nurses in psychiatric wards for future care. We conducted questionnaire research for psychiatric nurses and they described recognition of nursing in free description. Qualitative analysis was performed on description. Results showed that six categories were chosen like “Increase of stress and fatigue caused of infection control,” “Negative effects to body and mind of patients,” “Effects to nursing care in psychiatric nursing,” “Differences of attitude toward infection control in the hospital,” “Cognition for social movement related to Coronavirus,” and “New awareness by Coronavirus infection and future. These results suggest the following, 1) some kind of supports will be needed for nurses’ stress for infection control, 2) supports or interventions for palliate of patients stress like limitation of prolonged quarantine, limit of visiting or home stay overnight, 3) integrated leaderships to cognition and behavior for infection control in a hospital.
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Open Access August 14, 2021

Genes of Gall 200C and Nematode 200C May Develop Biomedical Vaccines Against Plants and COVID-19 Diseases: Advanced Medical Science Technology Agriculture Health Issues

Abstract The outbreaks and quick spread of severe-acute-respiratory-syndrome-coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19), have badly affected the whole world due to continuous emergence-and-transmission of the latest-new viral-genomes forming new-variants revealing patterns of the SARS-CoV-2 outbreak-and-global-pandemic with badly affecting advanced-medical-science-technology-communication-agriculture-agronomy-plant-breeding-horticulture, health-environment-socio-economy, and different-issues. India's emphasis on okra, the ‘Nature's-Gift to Human-Disease-Free-Healthy-Life’ and the most ‘Economically-Important-Number-One-Consumption Vegetable-Crops’ is destroyed by various-diseases causing pathogens like the root-knot (RK)-diseases caused by the nematodes, Meloidogyne incognita [...] Read more.
The outbreaks and quick spread of severe-acute-respiratory-syndrome-coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19), have badly affected the whole world due to continuous emergence-and-transmission of the latest-new viral-genomes forming new-variants revealing patterns of the SARS-CoV-2 outbreak-and-global-pandemic with badly affecting advanced-medical-science-technology-communication-agriculture-agronomy-plant-breeding-horticulture, health-environment-socio-economy, and different-issues. India's emphasis on okra, the ‘Nature's-Gift to Human-Disease-Free-Healthy-Life’ and the most ‘Economically-Important-Number-One-Consumption Vegetable-Crops’ is destroyed by various-diseases causing pathogens like the root-knot (RK)-diseases caused by the nematodes, Meloidogyne incognita (Kofoid & White) Chitwood, and easily checked by many chemical-pesticides. But it causes different carcinogenic effects on the environment and our life. So it is an urgent need to develop potential biomedicines. The pretreatments with ultra-high-diluted-biomedicines (UHDBMs) Gall 200C and Nematode 200C, prepared from okra-root-galls (ORG) and nematode-females (NF) respectively, applied by foliar spray@ 20 ml/plant, are highly effective against the root-knot-disease of okra, Abelmoschus esculentus (L.) Moench Cv. Ankur-40, with the increasing growth of plants and fruits-production. The UHDBMs-Gall 200C is more effective than the Nematode 200C. Both the pretreatments-UHDBMs are responsible for induce-systemic-acquired-defense-response of the pretreated-plants through the expression of pathogenesis-related (PR)-proteins-genes (22-14 numbers), which are more or less similar-molecular-range (295kD-11kD) of many coronavirus, which will be responsible for preventing-RK and COVID-19 like virus-diseases by inducing-defense-resistance or increasing innate-immunity respectively, and advanced in medical-science, technology, communication, agriculture, agronomy, plant breeding, horticulture, health, environment, socio-economy, and different application-issues with pollution-free globe, developing new-preventive typical-biomedical vaccines or treatments methods or drug development and research against the ‘21st-Century Global Pandemic COVID-19 like Any Viral Diseases’ which lead to optimal contributions to the field of policymaking drug and vaccine development emphasizing new or important aspects of the study, and synthetic production of UHDBMs will be more practical implications, and social implications in the future research. And the farmers and the world would be benefitted most; by collecting and uprooting gall-roots after harvesting for cost-effective bio-controlling plant-diseases, and profit from shelling-and-buying of whole plants, fruits, and gall-roots also, and helps for the benefit of global health by developing the most cost-effective, personalized, non-toxic, easily-preparable, easily-maintainable, easily-available and suppliable, vaccines or treatments methods from their own product.
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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 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 October 30, 2022

Towards Autonomous Analytics: The Evolution of Self-Service BI Platforms with Machine Learning Integration

Abstract Self-service business intelligence (BI) platforms have become essential applications for exploring, analyzing, and visualizing business data in various domains. Here, we envisage that the business intelligence platform will perform automatic and autonomous data analytics with minimal to no user interaction. We aim to offer a data-driven, intelligent, and scalable infrastructure that amplifies the [...] Read more.
Self-service business intelligence (BI) platforms have become essential applications for exploring, analyzing, and visualizing business data in various domains. Here, we envisage that the business intelligence platform will perform automatic and autonomous data analytics with minimal to no user interaction. We aim to offer a data-driven, intelligent, and scalable infrastructure that amplifies the advantages of BI systems and discovers hidden and complex insights from very large business datasets, which a business analyst can miss during manual exploratory data analysis. Towards our future vision of autonomous analytics, we propose a collective machine learning model repository with an integration layer for user-defined analytical goals within the BI platform. The proposed architecture can effectively reduce the cognitive load on users for repetitive tasks, democratizing data science expertise across data workers and facilitating a less experienced user community to develop and use advanced machine learning and statistical algorithms.
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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 16, 2023

Zero Carbon Manufacturing in the Automotive Industry: Integrating Predictive Analytics to Achieve Sustainable Production

Abstract This charge-ahead paper suggests that transitioning the automotive industry towards a zero-carbon ecosystem from material to end-of-life can be accomplished through disruptive zero-carbon manufacturing in the broad area of all-electric vehicle production technology. To accomplish zero carbon emission automotive manufacturing in the vehicle assembly domain, future paradigms must converge on the [...] Read more.
This charge-ahead paper suggests that transitioning the automotive industry towards a zero-carbon ecosystem from material to end-of-life can be accomplished through disruptive zero-carbon manufacturing in the broad area of all-electric vehicle production technology. To accomplish zero carbon emission automotive manufacturing in the vehicle assembly domain, future paradigms must converge on the decoupling of carbon dioxide emissions from automobile manufacturing and use the design, processing, and manufacturing conditions. The envisioned zero carbon emission vehicle manufacturing domain consists of two complementary components: (a) making more efficient use of energy and (b) reducing carbon in energy use. This paper presents the status of key scientific and technological advancements to bring the manufacturing model of today to a zero-carbon ecosystem for the entire automotive industry of tomorrow. This paper suggests the groundbreaking application of dynamic and distributed predictive scheduling algorithms and open sensing and visualization technology to meet the zero carbon emission vehicle manufacturing goals. Power-aware high-performance computing clusters have recently become a viable solution for sustainable production. Advances in scalable and self-adaptive monitoring, predictive analytics, timeline-based machine learning, and digital replica of cyber-physical systems are also seen co-evolving in the zero carbon manufacturing future. These methods are inspired by initiatives to decouple gross domestic product growth and energy-related carbon dioxide emissions. Stakeholders could co-design and implement shared roadmaps to transition the automotive manufacturing sector with relevant societal and environmental benefits. The automated mobility sector offers a program, an industry-leading example of transforming an automotive production facility to carbon neutrality status. The conclusions from this paper challenge automotive manufacturers to engage in industry offsetting and carbon tax programs to drive continuous improvement and circular vehicle flows via a multi-directional zero-carbon smart grid.
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Open Access December 27, 2020

Enhancing Pharmaceutical Supply Chain Efficiency with Deep Learning-Driven Insights

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

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

Abstract Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the [...] Read more.
Managing supply chains efficiently has become a major concern for organizations. One of the important factors to optimize in supply chain management is logistics. The advent of technology and the increase in data availability allow for the enhancement of the efficiency of logistics in a supply chain. This discussion focuses on the blending of analytics with innovation in logistics to improve the operations of a supply chain. An approach is presented on how predictive analytics can be used to improve logistics operations. In order to analyze big data in logistics effectively, an artificial intelligence computational technique, specifically deep learning, is employed. Two case studies are illustrated to demonstrate the practical employability of the proposed technique. This reveals the power and potential of using predictive analytics in logistics to project various KPI values ahead in the future based on the contemporary data from the logistics operations; sheds light on the innovative technique of employing deep learning through deep learning-based predictive analytics in logistics; suggests incorporating innovative techniques like deep learning with predictive analytics to develop an accurate forecasting technique in logistics and optimize operations and prevent disruption in the supply chain. The network of supply chains has become more complex, necessitating the need for the latest technological advancements. The sectors that have gained a fair amount of attention for the application of technology to optimize their operations are manufacturing, healthcare, aerospace, and the automotive industry. A little attention has been diverted to the logistics sector; many describe how analytics and artificial intelligence can be used in the logistics sector to achieve higher optimization. Currently, significant research has been done in optimizing logistics operations. Nevertheless, with the explosive volume of historical data being produced by the logistics operations of an organization, there is a great opportunity to learn valuable insights from the data accumulated over time for more long-term strategic planning. To develop the logistics operations in an organization, the use of historical data is essential to understand the trends in the operations. For example, regular maintenance planning and resource allocation based on trends are long-term activities that will not affect logistics operations immediately but can affect the business’s strategic planning in the long run. A predictive analysis technique employed on historical data of logistics can narrow down conclusions based on the future trends of logistics operations. Thus, the technique can be used to prevent the disruption of the supply chain.
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Open Access December 27, 2022

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

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

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

Abstract The management of supply chains is increasingly complex. This study provides a comparative analysis of the cost-benefit analysis for managing various risks. It identifies the financial implications of leveraging artificial intelligence in supply chains to better address risk. Empirical results show a business case for managing some sources of risk more proactively facilitated through predictive [...] Read more.
The management of supply chains is increasingly complex. This study provides a comparative analysis of the cost-benefit analysis for managing various risks. It identifies the financial implications of leveraging artificial intelligence in supply chains to better address risk. Empirical results show a business case for managing some sources of risk more proactively facilitated through predictive modeling techniques offered by AI. Across investigation streams, the use of AI results in an average total cost saving ranging from 41,254 to 4,099,617. Findings from our research can be used to inform managers and theorists about the implications of integrating AI technologies to manage risks in the supply chain. Our work also highlights areas for future research. Given the growing interest in studying sub-second forecasting, our research could be a point of departure for future investigations aimed at considering the impact of forecasting horizons such as an intra-day basis. We formulate a conceptual framework that considers how and to what extent performance evaluation metrics vary according to differences in the fidelity of predictive models and factor importance for identifying risks. We also utilize a mixed-method approach to demonstrate the applicability of our ideas in practice. Our results illustrate the financial implications of integrating AI predictive tools with business processes. Results suggest that real-world companies can circumvent inefficiencies associated with trying to manage many classes of risk via the use of AI-enhanced predictive analytics. As managers need to justify investment to top management, our work supports decision-making by providing a means of conducting a trade-off analysis at the tactical level.
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Open Access 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 29, 2020

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

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

Predictive Analytics in Biologics: Improving Production Outcomes Using Big Data

Abstract Biopharmaceuticals, or biologics, are a burgeoning sector in the pharmaceutical industry, predicted to reach $239.4 billion by 2025. This unparalleled growth is often attributed to the enhanced specificity offered by large molecules over small molecules. The large size of the constituent proteins necessitates the continuous implementation of big data predictive analytics to elucidate the most [...] Read more.
Biopharmaceuticals, or biologics, are a burgeoning sector in the pharmaceutical industry, predicted to reach $239.4 billion by 2025. This unparalleled growth is often attributed to the enhanced specificity offered by large molecules over small molecules. The large size of the constituent proteins necessitates the continuous implementation of big data predictive analytics to elucidate the most effective candidates in the lead optimization process. These same methodologies can be applied, and with the advent of machine learning and automated predictive analytics, this is becoming an increasingly facile task, to the augmentation and optimization of the downstream production processes that comprise the majority of the development cost of any biologic. In this work, big data from cell line generation, product and process design, and large-scale lead validation studies have been used to compare the applicability of simple statistical models against these black-box approaches for the rapid acceleration of enzymes to the pilot plant stage. This research can be expanded upon to exploit the big datasets generated as part of the progression of biologics through the development pipeline to further optimize production outcomes. Over the coming months, data from the project will be used to probe which approaches are amenable to which processes and, as a result, more amenable to various economic simulations. The computed optimization objective for the HIT must include the cost of acquiring, storing, and analyzing data to construct these predictive models, alongside the expected commercial reward of choosing an optimally ranked candidate. In this vein, perspective must be taken in the probable future price, capability outputs, and ownership issues of increasingly sophisticated data analysis software as superstructures become more frequent. It is frequently stated that decisions made to reduce production costs are data-driven, but that is not because more economically or energetically costly experiments or production methods are employed; to truly evaluate production steps, dynamic energy, and economic models need to become more commonplace. Conversion of process quality approaches from large questionnaires, risk analysis, and expert opinion-driven methods to statistical and thus more reliable approaches is an area of future research in analytics used herein.
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Open Access December 27, 2019

Revolutionizing Patient Care and Digital Infrastructure: Integrating Cloud Computing and Advanced Data Engineering for Industry Innovation

Abstract This work details how the integration of cloud computing and advanced data engineering can innovate and reshape patient care and digital infrastructure. In the healthcare sector, cloud services offer the necessary support to generate digitally-oriented services and service kits. These services can contain high levels of availability, low levels of latency, and on-demand scaling capabilities, while [...] Read more.
This work details how the integration of cloud computing and advanced data engineering can innovate and reshape patient care and digital infrastructure. In the healthcare sector, cloud services offer the necessary support to generate digitally-oriented services and service kits. These services can contain high levels of availability, low levels of latency, and on-demand scaling capabilities, while following the strictest data protection laws and regulations. On the other hand, these services can be combined with data engineering techniques to construct an ecosystem that enhances and adds an optimized data layer on any cloud environment. This ecosystem includes technologies to acquire, process, and manage healthcare data while respecting all regulatory obligations and institutions and can be part of a comprehensive digitalization strategy. The objective is to augment the healthcare services that the industry offers by leveraging healthcare data and AI technologies. Designed services, processes, and technologies can be described either as industry-agnostic services or healthcare-specific services that process and manage electronic healthcare records (EHR). Industry-agnostic services offer a set of tools and methodologies to conduct optimized data experiments. The goal is to exploit any variety, velocity, volume, and veracity of medical data. Healthcare-specific services offer a set of tools and methodologies to connect to any common EHR vendor in a privacy-preserving manner. Participating companies are thus able to hold, share, and make use of healthcare data in real-time. The proposed architecture can be transformative for the healthcare industry, opening up and facilitating experimentation on new and scalable service models. The transition to a more digital health approach would help overcome the limits encountered in traditional settings. Limitations in the availability of healthcare facilities and healthcare professionals have underpinned the increasing share of telemedicine in the care process. However, the record-keeping of the patients that undergo care outside of traditional healthcare facilities is often missing and can severely influence the continuity of treatment. Identifying new methods to implement disease prevention and early intervention processes is crucial to avoid more extensive treatment and to support those on multiple line therapies. For chronic patients, having a service available that monitors the state of health and intervenes when parameters go off the wanted range is crucial. However, the same patients are the most under the influence of the decision of care providers; a second opinion might be given remotely which the patient can access at any time on-demand. To address these different kinds of services, an ecosystem composed of a dictionary's worth data layer is outlined, able to live and operate seamlessly in any cloud environment. This future work's envisioned outcome is the rapid evolution and re-definition of the European healthcare landscape.
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Open Access December 27, 2019

Data Engineering Frameworks for Optimizing Community Health Surveillance Systems

Abstract A Changing World Demands Optimized Health Surveillance Systems – and How Data Engineering Can Help There is a growing urgency to manage the public health and emergency response practices effectively today, in light of complex and emerging health threats. Fortunately, a host of new tools, including big and streaming data sources, methods such as machine learning, new types of hardware like [...] Read more.
A Changing World Demands Optimized Health Surveillance Systems – and How Data Engineering Can Help There is a growing urgency to manage the public health and emergency response practices effectively today, in light of complex and emerging health threats. Fortunately, a host of new tools, including big and streaming data sources, methods such as machine learning, new types of hardware like blockchain or secure enclaves, and means of data storage and retrieval, have emerged. But, with these innovations comes a grand challenge: how to blend with, and adapt them to, the traditional public health practices. The long-in-place infrastructures and protocols to protect and ensure the welfare of communities are in need of change, or at least update, to enhance their marked longevity of impact directly on the health outcomes and community wellbeing they were designed to fortify. It is in this vein that the essay is written and composed. The investigation in this essay is to query what, particularly, might be the aspects and influences of the emerging veritable cornucopia of new data engineering frameworks that are either being developed specifically for health surveillance and wellness, or are available to be co opted from devices and services already thriving in the current market and research milieu. Knowing what these ways may be could well aid in molding their uptake and spread, ensuring their beneficial impacts on those communities who stand to gain the most. The essay is divided into several key segments. After this introduction, section two details the research methods. In the section that follows, the maximum health outcome potentials of these novel frameworks are reviewed. Part four of the essay takes a more critical approach, addressing how the success of these methods may be hindered and future research avenues. Lastly, the concluding information suggests some actions to take to aid best suit the implementation of these ways, and suggests some thoughts for further research after the completion of these inquiriestrand [1].
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Open Access December 27, 2019

Data-Driven Innovation in Finance: Crafting Intelligent Solutions for Customer-Centric Service Delivery and Competitive Advantage

Abstract Innovations in computing and communication technologies are reshaping finance. The seismic changes are casting uncertainty about the future of financial services. On one hand, fintech evangelists project a rosy future, asserting that the fast-moving algorithms can deliver low-cost financial services intuitively, customized to meet robust consumer expectations. On the other hand, many finance [...] Read more.
Innovations in computing and communication technologies are reshaping finance. The seismic changes are casting uncertainty about the future of financial services. On one hand, fintech evangelists project a rosy future, asserting that the fast-moving algorithms can deliver low-cost financial services intuitively, customized to meet robust consumer expectations. On the other hand, many finance veterans fret that the traditional banking model could disintermediate, bleeding banks via a ‘death by a thousand cuts’, reducing them to passive portfolio holders with no direct customer relationship, eclipsed by digital giants which use their enormous treasure troves of customer data to offer banking as an added service with nearly free cost. Amidst the upbeat technological promises and apocalyptic forebodings, there are two constant, mostly agreed-upon, truths. The first is the vital importance of data. Advances in the internet, cloud computing, and record-keeping technologies are producing an ‘exponential growth in the volume and detail of data’. Some of this big data are personal information. Smartphones are deployed in almost all developed and emerging economies, serving as little spies; tracking, recording location histories, social networks, and app usage of their unsuspecting owners; often with a great degree of precision. ‘People are walking data-factories’ in this ‘mobile digital society’. Data are the fermentation of these global exchanges, electronic commerce and communication, and financial transactions. To just take Facebook as an example, it shares 30 million people a day through updates and posts, hosting personal information on 2.23 billion users. To the alarm of the uninformed public, much of this information is available for commercial harvest. The second constant is the rise of intelligent solutions. Consumers today—be it disclosed or not—are fed tailored clothes, music, film, holiday packages—almost anything you like, notably dynamic pricing, varying in accordance with individual profiles, or personalized search results. The availability of powerful computers has enabled comparable applications that are intended to make the system more responsive to their customer profiles and desires, or to capitalize competitive business possibilities. Such changes will transform the financial industry and occupy a prominent position among the mechanisms of policy competition, reshaping the way in which financial services are bestowed and led on the demand side.
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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 27, 2021

Innovative Financial Technologies: Strengthening Compliance, Secure Transactions, and Intelligent Advisory Systems Through AI-Driven Automation and Scalable Data Architectures

Abstract Through a digitally connected ecosystem, the innovative realm of fintech significantly enhances human capabilities across various dimensions. AI-based fintech solutions are increasingly proving to be invaluable by providing effective enforcement of regulations that ensure compliance and protect stakeholders involved. Numerous expert investigations conducted in the arena of high-technology [...] Read more.
Through a digitally connected ecosystem, the innovative realm of fintech significantly enhances human capabilities across various dimensions. AI-based fintech solutions are increasingly proving to be invaluable by providing effective enforcement of regulations that ensure compliance and protect stakeholders involved. Numerous expert investigations conducted in the arena of high-technology litigation have reinforced both the pressing need and the immense value of enforced compliance in today's fast-paced digital landscape. Open banking APIs have boldly pioneered this critical regulatory enforcement role, allowing broader access and improved services for consumers. Predictive AI certainty, facilitated through sophisticated validation systems, represented a fundamental evolution in their rule-based legal formulations that govern many aspects of financial transactions. These advanced products were deployed within global legislative codes, allowing for standardized practices, and consequently, all market sectors quickly adopted them to ensure they remain competitive and compliant. During the latest of these professionals' encouraging comments, it became clear that awareness of the inception of these groundbreaking innovations must be convened into a steadfast commitment to continue launching natural language processing products that can refine consumer interaction. Since this pivotal point, the increasing dependency of the financial expert community on these incisive factors underscores the paramount importance they now hold for their clients and end users alike, shaping the future of finance in profound ways [1].
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Open Access December 27, 2020

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

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

Designing Self-Learning Agentic Systems for Dynamic Retail Supply Networks

Abstract The evolution of supply chains (SC) from a linear to a network structure created an opportunity for new processes, product/service offerings, and provider-business. Rising customer service expectations have led to the need for innovative SC designs to develop and sustain competitive performance globally. Firms are forced to respond and adapt accordingly, thereby leading to design, network, [...] Read more.
The evolution of supply chains (SC) from a linear to a network structure created an opportunity for new processes, product/service offerings, and provider-business. Rising customer service expectations have led to the need for innovative SC designs to develop and sustain competitive performance globally. Firms are forced to respond and adapt accordingly, thereby leading to design, network, operational, and performance dynamics. Traditionally, SCs are treated as static structures, focusing solely on design and/or operational optimization. Such perspectives are not viable options for SC domains, as they address only a portion of the dynamic problem space, use a deterministic assumption of dominant design variables, capitalize on past data to predict future decisions, and offer pre-classified forecasting options complemented with a limited comprehension of systemic SC elasticity. Novel self-learning agentic systems are proposed that blend the sciencematics of SC decisions and dynamics. The designs guide firms seeking to build adaptive SCs using operational decision processes. The designs address the agentic nature of SC, embedding computational interaction models of firm SC networks. The designs contrast the stochastic action-taking and thereby the performance outcomes, discovering opportunities for adaptive operational designs of SC tasks. Fine-tuning and meta-learning are new design capabilities that adapt to evolving dynamic environments. Frameworks for behavioral customization and systematic exploration of the design space are provided as user guides. Exemplar designs are also provided to serve as a translation template for users to express operational models of their own contexts. To account for the dynamics of supply chains (SC), agent-based models are increasingly adopted. Such models exhibit SC structure and/or formulation dynamics. Though existing efforts commence adjacent-only structural changes, dynamism with respect to tasks is crucial for SC design and operational strategy development. Proposed is a process modeling library and workflow for discovering intricate designs of adaptive agentic systems. The library revises Dataflow and Structure, concealing sequencing and context designs of processes. Prompted specifications describe and enact designs. Applications in SC formulation discovery are provided.
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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 02, 2020

Predictive Modeling and Machine Learning Frameworks for Early Disease Detection in Healthcare Data Systems

Abstract Predictive modeling, supported by machine learning technology, aims to analyze data in order to guide decision-making towards actions generating desired values in the future. It encompasses the set of techniques used to build models that estimate the value of a certain variable predicting a forthcoming event from the past or current values of relevant attributes. In predictive healthcare modeling, [...] Read more.
Predictive modeling, supported by machine learning technology, aims to analyze data in order to guide decision-making towards actions generating desired values in the future. It encompasses the set of techniques used to build models that estimate the value of a certain variable predicting a forthcoming event from the past or current values of relevant attributes. In predictive healthcare modeling, the built models represent the relationship among the data concerning customer, provider, production, and other aspects of the healthcare environment in order to assist the decision processes in the prevention of diseases and in the planning of preventive actions by detection of high-risk patients. Contrary to trend analysis, whose goal is to describe past events, predictive models aim to provide useful indications regarding future events and changes. Predictive healthcare modeling supports actions that try to prevent the manifestation of diseases in healthy individuals or try to diagnose as early as possible the incidence of a disease in patients at risk. A sound predictive analysis encompasses not only the model-training task, but also the aspects of data quality, preprocessing, and fusion during its entire implementation lifecycle to ensure appropriate input data preparation. The robustness of the predictive model and its results depends highly on data quality. Due to the variety of data sources in healthcare environments, it becomes essential to use preprocessing in order to remove noise and inconsistencies. The increasing number of endorsable data exchange standards makes each data exchange achievable, but it demands the implementation of a data-governance program. In addition, the influence of the hospital-database architect on the architecture of an early-diagnosis model is important to guarantee appropriate input-formatting modularity.
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Open Access December 26, 2021

Rule-Based Automation for IT Service Management Workflows

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