Fair East Publishers: E-Journals
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The role of data-driven insights in industrial control systems: Advancing predictive maintenance and operational efficiency in refinery processes
Full text linkIndustrial control systems (ICS) are pivotal in refinery operations, ensuring process stability, resource optimization, and safety. With the advent of advanced data-driven technologies, the integration of predictive maintenance and operational efficiency strategies has become increasingly essential. This paper examines the theoretical underpinnings of predictive maintenance, highlighting its superiority over reactive and preventive approaches and its reliance on big data and machine learning for proactive equipment management. The role of data analytics in optimizing resource allocation, energy use, and process stability is explored, with a focus on addressing barriers such as data integration challenges and cybersecurity risks. Furthermore, the study delves into future trends, including the adoption of digital twins, IoT, and AI to enable real-time monitoring and autonomous decision-making. Recommendations for industry stakeholders emphasize investments in digital infrastructure, workforce development, cybersecurity, and sustainability-driven innovations. Refineries can leverage data-driven insights to enhance operational efficiency, mitigate risks, and contribute to a more sustainable industrial future.
Keywords: Industrial Control Systems (ICS), Predictive Maintenance, Operational Efficiency, Data Analytics, Refinery Processe
The role of digital twinning in improving service quality: An applied study on Rafidain and Rashid Bank
No full textThis research aims to identify the relationship between digital twinning and banking service quality dimensions through customers' evaluation of the level of service quality provided to them by Rafidain and Rashid Bank, as well as determining the relative importance of digital twinning, in addition to studying the relationship between digital twinning, which is measured by (Sensors, twinning rate, From material to virtual, From virtual to material) and banking service quality dimensions (Tangibles, Reliability, Responsiveness, Accessibility, Assurance, Empathy). (120) samples were distributed to the two banks' customers, only (96) sample was collected and is valid for analysis.
The study reached a number of conclusions, the most important of which are: The dimensions of banking service quality are one of the most important critical goals for banking sector organizations due to their direct contact with society, which requires a set of basic elements that contribute to achieving it through management support for digital twinning, as the impact of digital twinning greatly increases and improves the quality of banking service. The study presented a number of recommendations, the most important of which are: The current circumstances and rapid changes require the organization to adopt digital twinning as an important necessity through which it supports management and leads it to improve the quality of banking services. Providing the two banks with modern devices and training bank employees working in the front offices in line with the needs of their customers and improving the quality of service provided through the use of digital twinning.
Keywords: Digital Twinning, Sensors, Twinning Rate, From Material to Virtual, From Virtual to Material, Service Quality
Financial inclusion, competition and poverty alleviation: Evidence from ECCAS and ECOWAS microfinance institutions
No full textThe aim of this paper is to investigate the impact of financial inclusion, competition and poverty in microfinance industry. The introduction of an interaction between the two first variables is one of the major contribution in the literature dealing with that issue. We rely on 17 sub-Saharan African countries, covering 403 microfinance institutions, over the period 1999-2019. Using the two-step system-GMM estimation, our main results, based on the interaction term and the global sample, are counterintuitive compared to the dominant trend, since we find that the combined effect of financial inclusion and competition exacerbates poverty. This finding validates the poverty-aggravating effect and suggesting the mission drift of microfinance institutions. Later on, when the sample is splitted into ECCAS and ECOWAS, two conflicting results have emerged. On the one hand, ECCAS is supportive of the poverty-aggravating effect previously found. On the other hand, it is proved that ECOWAS is conducive for the poverty-reducing effect. These results are crucial for policy implications in terms of microfinance regulations in both economic entities.
Keywords: Microfinance, Financial Inclusion, Competition, Poverty, ECCAS, ECOWAS, Africa.
Code JEL: G21, L1, I32, C33
Integrating Co-Curricular programs for holistic early childhood development: Evidence, gaps, and innovations
No full textHolistic early childhood development requires integrating diverse learning experiences—beyond formal academics—into young children’s daily routines. Recent global analyses emphasize that a broad-based “whole child” approach, encompassing socio-emotional, physical, and cognitive domains, is a powerful driver of equity and achievement. This manuscript synthesizes evidence on how co-curricular programs (music, drama, play, sport, gardening, storytelling, etc.) support children’s academic and social-emotional learning, especially in under-resourced settings. It highlights theoretical foundations (Bronfenbrenner’s ecological systems and Vygotsky’s social development theory) that frame co-curricular as vital “zones of proximal development”. Drawing on global research and the author’s experience at Sycamore International School (formerly KinderKare) in Uganda, we review evidence that play- and activity-based learning bolsters literacy, numeracy, executive function, and self-regulation. We also document gains in social skills, empathy, and resilience from participatory activities. Despite this promise, major gaps remain low-income and rural contexts often lack access to such programs, exacerbating inequities. We describe innovations from practice – teacher training in playful pedagogy, community partnerships, and flexible models like BRAC’s Play Labs – that begin to fill these gaps. First-person reflections from Uganda illustrate both successes and systemic challenges. We conclude that scaling co-curricular, play-based models through policy and funding (as recommended by UNESCO and OECD) is essential to realize education’s transformative potential.
Keywords: Co-Curricular Learning, Early Childhood Education, Holistic Child Development, Equity in Education, Play-Based Pedagogy
Ethical AI and machine learning integration in health innovation information systems for clinical excellence
No full textThe integration of Ethical Artificial Intelligence (AI) and Machine Learning (ML) in Health Innovation Information Systems is transforming clinical excellence by enhancing decision-making, optimizing healthcare workflows, and improving patient outcomes. AI-driven health technologies, such as predictive analytics, automated diagnostics, and personalized medicine, offer significant benefits in disease detection, treatment planning, and patient monitoring. However, their implementation raises ethical concerns related to data privacy, algorithmic bias, transparency, and accountability, necessitating a robust framework for responsible AI adoption in healthcare. A key ethical challenge in AI-driven health systems is ensuring fairness and bias mitigation, as poorly trained models may reinforce existing disparities in healthcare access and treatment. The use of explainable AI (XAI) is critical to enhancing transparency, allowing clinicians and patients to understand AI-generated recommendations. Additionally, the rise of Big Data and Internet of Medical Things (IoMT) requires stringent data governance policies to protect patient confidentiality under global regulations such as HIPAA, GDPR, and FDA guidelines. This study explores the balance between AI automation and human oversight, emphasizing the role of AI as an assistive tool rather than a replacement for clinical expertise. It highlights emerging AI innovations, including federated learning, blockchain-secured data sharing, and real-time AI-assisted decision support, while addressing risks such as liability, cybersecurity threats, and regulatory compliance. By developing ethically-aligned AI frameworks, healthcare organizations can maximize AI’s potential while upholding patient safety, equity, and trust. This paper provides insights into the future of AI governance, policy recommendations, and best practices to ensure that AI-driven health innovation aligns with ethical and clinical excellence.
Keywords: Ethical Artificial Intelligence (AI), Machine Learning in Healthcare, Predictive Analytics in Medicine, Health Information Systems, AI Governance and Policy, Clinical Decision Support Systems
Human factors in cybersecurity: Training and awareness for analysts
No full textHuman factors play a critical role in the field of cybersecurity, where the efficacy of protective measures often hinges on the competence and vigilance of human operators. This paper explores the significance of training and awareness for cybersecurity analysts, emphasizing the need for comprehensive educational programs and continuous professional development. Effective training programs for cybersecurity analysts should encompass a broad spectrum of knowledge, including technical skills, threat detection, risk assessment, and response strategies. These programs must also address psychological and behavioral aspects, such as stress management, decision-making under pressure, and ethical considerations, to prepare analysts for the multifaceted challenges they face. Awareness initiatives are equally crucial, serving to keep analysts informed about the latest threats, technological advancements, and regulatory changes. Regular updates and continuous learning opportunities ensure that cybersecurity professionals remain adept at identifying and mitigating emerging risks. In this context, gamification and simulation-based training have shown promise in enhancing engagement and retention of knowledge among analysts, providing realistic scenarios that mirror the complexities of actual cyber threats. Furthermore, fostering a culture of cybersecurity awareness within organizations is vital. This involves not only training the analysts but also educating all employees about basic cybersecurity practices, thereby reducing the risk of human error and insider threats. Organizations should implement policies that encourage reporting of suspicious activities without fear of retribution, promoting a proactive and collaborative approach to cybersecurity. The abstract concludes by highlighting the need for ongoing research to better understand the human factors influencing cybersecurity effectiveness. This includes studying the impact of training methodologies, the role of cognitive biases in threat detection, and the development of tools that support analysts in their decision-making processes. By prioritizing human factors in cybersecurity through targeted training and awareness programs, organizations can significantly enhance their defensive capabilities and resilience against cyber threats.
Keywords: Analysts, Training, Awareness, Cybersecurity, Human Factors
Adopting artificial intelligence for library relevance: Overview of SDD-UBIDS
No full textThis study explores the adoption of artificial intelligence (AI) in enhancing library service delivery at the Simon Diedong Dombo University of Business and Integrated Development Studies (UBIDS) in Ghana. Employing a qualitative case study approach, the research draws on semi-structured interviews with librarians, faculty, deans, and students, alongside document analysis of institutional reports and policy documents. The findings reveal that AI offers substantial opportunities to improve cataloguing, information retrieval, and user interaction through intelligent systems such as virtual assistants and predictive analytics. However, challenges persist, including limited infrastructure, data privacy concerns, job displacement fears, and insufficient staff training. Participants also emphasized the need for ethical AI governance and continuous capacity building. The study recommends that UBIDS invest in staff reskilling, strengthen data protection frameworks, and develop clear AI adoption policies tailored to the university’s context. These findings provide actionable insights for academic libraries in similar resource-constrained settings seeking to embrace AI-driven transformation.
Keywords: Library, Artificial intelligence, Adoption, Relevance
The impact of maternal health and prenatal care on childhood disabilities: A systematic review
No full textThis systematic review examines the impact of maternal health and prenatal care on childhood disabilities, with a particular focus on the effects of opioid, alcohol, and drug use during pregnancy. Maternal health during pregnancy plays a crucial role in fetal development, and poor prenatal care or substance use can lead to a range of childhood disabilities. The review explores how maternal opioid use during pregnancy, including prescription painkillers and illicit opioids, leads to Neonatal Abstinence Syndrome (NAS) and long-term developmental delays in children, such as cognitive impairments, attention deficits, and motor development issues. It also delves into the harmful effects of alcohol consumption, particularly in the form of Fetal Alcohol Spectrum Disorders (FASD), which cause a spectrum of disabilities, including physical malformations, intellectual disabilities, and behavioral challenges. In addition, the review discusses the impact of illicit drug use, such as marijuana, cocaine, and methamphetamines, on child development, highlighting an increased risk of low birth weight, congenital defects, and long-term neurological and behavioral issues, including learning disabilities and attention disorders. The review emphasizes the critical role of early and consistent prenatal care in mitigating these risks. Prenatal care can help identify maternal health issues and substance use early, allowing for appropriate interventions and the prevention of adverse outcomes. The review also discusses the need for comprehensive healthcare strategies to support mothers who struggle with substance use, including medication-assisted treatments for opioid use and behavioral therapies for alcohol and drug dependencies. Ultimately, this review underscores the necessity for better public health policies, more accessible prenatal care, and targeted interventions to reduce the incidence of childhood disabilities linked to maternal health factors, particularly substance use during pregnancy.
Keywords: Maternal Health, Prenatal Care, Childhood Disabilities, Systematic Review
Mobile Commerce Adoption and Digital Branding Techniques for Startup Growth in Sub-Saharan African Urban Centers
No full textThe rapid penetration of mobile technologies across Sub-Saharan African urban centers has redefined the entrepreneurial landscape, enabling startups to leverage mobile commerce (m-commerce) platforms for business growth and customer engagement. This review paper explores the multifaceted dimensions of m-commerce adoption and its synergy with digital branding techniques to foster scalable growth among startups in cities such as Lagos, Nairobi, Accra, and Kigali. It examines the infrastructural, socio-economic, and regulatory drivers influencing mobile commerce uptake, including mobile broadband expansion, fintech integration, and evolving consumer behavior in urban ecosystems. The paper also delves into contemporary digital branding strategies—such as social media storytelling, influencer marketing, personalized content delivery, and search engine optimization—that are tailored to resonate with digitally savvy urban populations. Drawing from recent empirical studies, case analyses, and theoretical frameworks, this review highlights how startups effectively align mobile technology with brand positioning to achieve market differentiation and sustained engagement. Furthermore, it investigates challenges such as digital literacy gaps, platform scalability, cyber-security vulnerabilities, and limited access to capital. The paper proposes a model for strategic integration of m-commerce functionalities with agile branding approaches to enhance visibility, trust, and conversion in dynamic urban markets. By synthesizing evidence from technology, marketing, and entrepreneurship literature, this study contributes to the discourse on inclusive digital transformation and provides actionable insights for startup founders, policy-makers, and innovation hubs aiming to strengthen Africa’s digital economy through mobile-enabled entrepreneurship.
Keywords: Mobile Commerce, Digital Branding, Startup Growth, Sub-Saharan Africa, Urban Entrepreneurship, Technology Adoption
Unemployment Due to Technological Innovation in the Textile Industry in Vietnam: Current Situation and Solutions
No full textIn the context of the Fourth Industrial Revolution (Industry 4.0), Vietnam’s textile industry is facing numerous intertwined opportunities and challenges. This paper focuses on analyzing the current labor force situation in the textile sector and proposes solutions to enhance labor quality and efficiency, while adapting to the demands of digital transformation and the application of modern technologies. Through data collection and analysis, the paper identifies limitations such as low professional qualifications, lack of information technology skills, weak foreign language proficiency, and a shortage of high-quality labor. Additionally, the study highlights the crucial role of retraining and upskilling in building a workforce capable of adapting to the evolving landscape. These findings provide a critical foundation for formulating policies and strategies to ensure the sustainable development of human resources in the textile industry in the digital age.
Keywords: Unemployment, Digital Transformation, Textile Industry