Fair East Publishers: E-Journals
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Freeway in the ramp: Daydreaming as a mitigatory outlet within social panoptical surveillance
Get PDFIn the pursuit of self-actualization, individuals often encounter cognitive dissonance, particularly when societal pressures impede the fulfillment of desires and self-esteem needs. This article delves into the birth of cognitive dissonance within Maslow's framework and explores how panopticism, through decentralized surveillance, shapes societal norms and behaviors, influencing individual conformity. While exploring the concept of panopticism as a determinant of social acceptability, the article elucidates how societal surveillance influences individual behavior and the formation of alter identities. By scrutinizing the interplay between Eros and Thanatos in human psychology, the article uncovers the underlying drives behind mitigatory actions as birthing factors for alters and their implications for societal order. Drawing parallels between literary characters like Dr. Jekyll and Walter Mitty, the article examines the divergent paths individuals take to mitigate their unmet needs. While Dr. Jekyll's physical alter ego, Mr. Hyde, results in societal disruption, Mitty's daydreaming offers a safer, albeit intangible, avenue for fulfillment. Through an analysis of Freudian and Jungian perspectives on dreams, the article highlights the subconscious role of daydreaming in reconciling inner conflicts and mitigating cognitive dissonance, highlighting daydreaming as a mitigatory outlet within social confines.
Keywords: Panopticism, Cognitive Dissonance, Alters, Mitigation, Daydreaming
A review of federated learning approaches for predictive modeling and confidential data analysis in lending and borrowing behavior across decentralized financial networks
Get PDFThe rise of decentralized financial (DeFi) networks has revolutionized lending and borrowing practices, enabling peer-to-peer transactions without centralized intermediaries. However, analyzing user behavior within these ecosystems poses significant challenges due to the sensitive nature of financial data and regulatory demands for privacy preservation. Federated Learning (FL) has emerged as a promising machine learning paradigm that enables collaborative model training across distributed data sources without exposing raw data, thus aligning with the privacy-first requirements of DeFi environments. This review explores the state-of-the-art applications of FL in modeling lending and borrowing behavior across decentralized platforms. We examine the architectural frameworks, privacy-enhancing techniques (e.g., differential privacy, secure aggregation), and communication optimization strategies employed in current FL systems. The paper also highlights the unique challenges of implementing FL in DeFi, including data heterogeneity, malicious participant risk, scalability, and smart contract integration. By synthesizing recent advancements and identifying key research gaps, this review provides a comprehensive foundation for future studies aiming to enhance predictive accuracy, user trust, and regulatory compliance in decentralized financial analytics.
Keywords: Blockchain Technology, Smart Contracts, Hyperledger Fabric, Industrial Symbiosis, Scalability and Latency, Decentralized Transaction Systems
Innovative materials and design concepts for enhanced pollutant filtration in low-impact development
Get PDFThis review paper explores innovative materials and design concepts for enhancing pollutant filtration in Low-Impact Development (LID) systems, focusing on the theoretical advancements in material science and design that can improve the efficiency and sustainability of urban stormwater management. The paper examines new material concepts for porous pavements and bio-retention systems, analyzing their potential to increase pollutant removal, durability, and adaptability. It also discusses the challenges and limitations of implementing these advanced materials and designs, including cost, scalability, and long-term performance concerns. Future research directions are proposed to expand the scope of theoretical advancements in LID, emphasizing the need for field studies, integrating smart technologies, and developing hybrid systems. The findings highlight the potential of these innovations to push the boundaries of current LID practices, paving the way for more resilient and sustainable urban infrastructure.
Keywords: Low-Impact Development (LID), Pollutant Filtration, Porous Pavements, Bio-Retention Systems, Innovative Materials, Sustainable Urban Infrastructure
Exploring AI-driven supply chain automation to enhance global logistics, reduce operational costs, and ensure resilient business continuity
Get PDFGlobal supply chains form the backbone of international trade, enabling the movement of goods, services, and raw materials across complex networks. However, traditional supply chain models are increasingly strained by rising operational costs, demand volatility, and disruptions driven by geopolitical tensions, pandemics, and climate events. These challenges highlight the urgent need for resilient, cost-efficient, and adaptive logistics systems. Artificial intelligence (AI) has emerged as a transformative enabler, offering the potential to automate, optimize, and secure global supply chain operations. AI-driven supply chain automation leverages predictive analytics, machine learning, and real-time data integration to enhance visibility and decision-making across logistics networks. By enabling accurate demand forecasting, AI reduces overproduction, minimizes inventory holding costs, and prevents costly stockouts. In logistics, automation technologies such as robotic process automation (RPA), autonomous vehicles, and AI-enabled route optimization streamline transportation flows, cutting fuel costs and delivery times. Furthermore, AI-powered risk detection and simulation tools allow firms to anticipate disruptions and reconfigure supply chain strategies proactively, ensuring business continuity in volatile markets. From a resilience perspective, AI enhances supply chain agility by enabling real-time monitoring of suppliers, transportation routes, and customer demand. This capability supports adaptive responses to shocks while reducing inefficiencies and environmental impacts. Importantly, integrating AI with blockchain and Internet of Things (IoT) platforms strengthens transparency, accountability, and trust within global logistics ecosystems. Overall, AI-driven automation represents a paradigm shift in supply chain management, moving organizations beyond reactive crisis management toward proactive resilience, cost optimization, and sustainable global logistics operations.
Keywords: Supply Chain Automation, Artificial Intelligence, Global Logistics, Business Continuity, Operational Cost Reduction, Resilient Systems. 
Implementing big data governance in organizations
Get PDFWith the exponential growth of data in organizations, implementing effective governance measures has become crucial. This paper aims to provide a comprehensive guide for implementing big data governance in organizations. It explores key concepts, challenges, and strategies for successful implementation, along with practical implications, ethical considerations, and recommendations. By understanding the importance of big data governance and its potential benefits, organizations can enhance their decision-making processes, ensure data integrity, and maintain regulatory compliance.
Keywords: Big Data, Governance, Implementation, Analytics
Advancing drug discovery through translational pharmacology and innovative clinical applications
Get PDFAdvancing drug discovery requires the integration of translational pharmacology with innovative clinical applications to bridge the gap between preclinical research and patient-centered therapies. Translational pharmacology emphasizes the bidirectional flow of knowledge between bench and bedside, enabling the efficient transformation of molecular insights into clinically relevant interventions. This approach addresses a persistent challenge in drug development: the high attrition rate of novel compounds due to inadequate prediction of human efficacy and safety during preclinical stages. By leveraging translational models, biomarkers, and adaptive trial designs, researchers can identify pharmacodynamic and pharmacokinetic signatures that enhance early decision-making and optimize dose selection. These strategies improve the predictive validity of preclinical data, reduce development costs, and accelerate the timeline for delivering innovative therapies to patients. The incorporation of advanced technologies such as systems pharmacology, bioinformatics, and real-world evidence further strengthens translational efforts by providing multidimensional insights into drug–target interactions and disease mechanisms. Coupled with precision medicine frameworks, these tools enable stratification of patient populations, enhancing the probability of success in complex disease areas like oncology, neurology, and immunology. Innovative clinical applications including adaptive platform trials, digital health integration, and biomarker-guided endpoints further refine therapeutic evaluation and support regulatory confidence in novel treatments. Importantly, translational pharmacology fosters iterative feedback loops where clinical observations inform preclinical models, creating a dynamic and responsive discovery ecosystem. Operational leadership is essential in implementing these strategies, ensuring collaboration across multidisciplinary teams, regulatory agencies, and industry stakeholders. Ethical considerations, patient engagement, and inclusivity are central to advancing equitable access and ensuring that translational innovations benefit diverse populations. As drug discovery continues to evolve, embedding translational pharmacology within clinical development pipelines not only enhances scientific rigor but also transforms the innovation landscape. This integration represents a paradigm shift toward delivering safer, more effective therapies with higher success rates, ultimately advancing global healthcare outcomes and addressing unmet medical needs.
Keywords: Translational Pharmacology, Drug Discovery, Clinical Applications, Biomarkers, Adaptive Trials, Pharmacokinetics, Pharmacodynamics, Systems Pharmacology, Precision Medicine, Real-World Evidence. 
A systematic review of the impact of Ozonated fish oil on Mitochondrial function in pyramidal neurons under stress from intensive physical training
Get PDFBackground: Enforced exercise training results in extreme neurometabolic stress, especially on pyramidal neuron mitochondrial function. Ozonated fish oil has shown promise as a neuroprotective agent because of its improved bioavailability and antioxidant effect. Objective: The present systematic review critically discusses the existing evidence regarding the effect of ozonated fish oil on pyramidal neuron mitochondrial function under extreme physical training stress. Methods: Systematic Web of Science, Scopus, PubMed, and Cochrane database searching from 2014 - 2025 was performed. Inclusion was based on studies that had examined ozonated fish oil supplementation and mitochondrial function in neuronal tissue under exercise stress. Results: Seventeen studies were found to meet inclusion criteria, for which there was moderate evidence in support of the protective role of ozonated fish oil in mitochondrial respiratory function capacity, ATP yield, and oxidative markers in pyramidal neurons. Conclusion: Preliminary signs are that ozonated fish oil could be useful to maintain mitochondrial activity in pyramidal neurons with intense training, but further randomized controlled trials must be carried out to confirm fixed treatment protocols.
Keywords: Ozonated Fish Oil, Mitochondrial Function, Pyramidal Neurons, Exercise Stress, Neuroprotection
Regulation management process and firm performance of the downstream sector in the Nigerian petroleum industry
No full textThis study focuses on the effects of regulation process on firm performance of the downstream sector in the Nigerian petroleum industry. The specific objectives are to examine the effects of legal framework on firm performance, to examine the effects of monitoring process on firm performance, to ascertain the effects of price fixing process on firm performance and to determine the effects of evaluation process on firm performance. The descriptive survey research design method was adopted. The population of this study consists of major petroleum marketers and tank farm owners in the South-South region of Nigeria; Matrix Energy, Rain Oil, Nepal Oil and Gas, Mainland Oil and Gas, Dozzy Oil and Gas, Masters Energy, Delmar Petroleum and their employees. The sample size of three hundred and sixty-two (362) was obtained using Krejcie and Morgan table. A stratified sampling technique was used to know the different subgroups or strata of employees in the selected firms? of the study. The study was driven by primary and secondary data. The data were analyzed using correlation and regression analysis as analytical tools. Findings revealed that legal framework has significant effect on firm performance with (?= .136, P =.001 <.05), monitoring process has significant effect on firm performance with (?= .259, P =.000 <.05), price fixing process has significant effect on firm performance with (?= .075, P =.002 <.05), evaluation process has significant effect on firm performance with (?= .130, P =.001 <.05). The study concluded that the proxies of regulation (legal framework, monitoring, price fixing and evaluation) have significant effects on the performance of the downstream sector in the Nigerian petroleum industry. The study concludes that if the sector is fully deregulated, it will enable market forces of demand and supply to determine petroleum products prices; rather than the Federal Government fixing them. The study recommends that refineries should be made to work at full capacities to meet up with our daily fuel consumption capacity in the country through turn around maintenance. To end subsidy regime, it requires strong political will, sensitization of all stakeholder and Nigerians on the benefits of total deregulation in the sector. The study contributes to knowledge by demonstrating that the proxies of regulation process: legal framework, monitoring process, price fixing process and evaluation can predict firm performance and also it established a framework of regulation process dynamics and how they are related to firm performance.
Keywords: Regulation Process, Legal Framework, Monitoring Process, Firm Performance
Burnout and Compensation Equity in Mission-Driven Workforces: A Systemic Review of HR Interventions in Healthcare and Nonprofit Sectors
No full textBurnout and compensation inequity are increasingly recognized as twin crises destabilizing mission-driven sectors such as healthcare and nonprofit organizations. This systemic review explores the theoretical and empirical linkages between inadequate compensation and burnout, drawing on the Job Demands–Resources and Effort–Reward Imbalance models. Evidence shows that perceptions of unfair pay exacerbate emotional exhaustion, reduce employee commitment, and drive high turnover rates—especially among frontline workers. In response, organizations have implemented a range of HR interventions including competitive pay benchmarking, pay transparency, equity audits, fair performance evaluations, and wellness initiatives. Leadership development programs emphasizing psychological safety and compassionate management have also emerged as pivotal strategies. The review finds that effective interventions are those that integrate compensation reforms with broader well-being support, signaling respect and investment in staff. Notably, studies suggest that improving compensation fairness can mitigate burnout more sustainably than standalone wellness efforts. The paper concludes with recommendations for HR leaders to adopt holistic, justice-oriented practices that reinforce both equity and employee mental health. Ultimately, ensuring workforce sustainability in these critical sectors will require aligning compensation systems with values of fairness, transparency, and human dignity.
Keywords: Burnout, Compensation Equity, Human Resources, Nonprofit Workforce, Healthcare Workforce, Organizational Justice, Employee Well-Being, Workforce Sustainability, Performance Management, HR Interventions
Change in organizational structure and library users’ satisfaction: Empirical evidence from Delta State University ultra-modern library, Nigeria
No full textThis study examines the concept of change in organizational structure and analyzes its overall influence on measures of users’ satisfaction by obtaining empirical evidence from users of the Ultra-Modern Library of the Delta State University, Abraka. The study was anchored on the contingency theory of organizational structure and posit that library users’ satisfaction depends on multiple factors. The study therefore x-rayed the dependent variable (users’ satisfaction) with reference to dimensions such as availability and accessibility of library resources, adequacy of library resources, overall ambiance of library space and environment, professionalism and approachability of library personnel, institutional policies of libraries, and the level of deployment of technologies by the library; whereas, change in organizational structure was considered as the independent variable. The descriptive survey design was adopted and a structured 4-point Likert scale questionnaire was designed to elicit responses from 115 respondents (comprising 25 lecturers, 35 postgraduate students and 55 undergraduate students) who are users of the Ultra-Modern Library of the Delta State University, Abraka. Both face and content validity was established on the instrument by 3 experts from the Faculty of Education of the Delta State University, while the instruments reliability was confirmed by the Cronbach Alpa test which obtained an overall coefficient of 0.9145. Data analysis was conducted using Shapiro-Wilk W Test for normality and Pearson Product Moment Correlation (PPMC) to address the research question while the hypothesis was tested at a 0.05 significance level by means of the Multivariate regression technique. Overall, the findings from the study indicate that change in organizational structure has strong positive relationship with all the dimensions of library users’ satisfaction. On this note the study recommends among others that Library management should strengthen organizational structure for enhanced service delivery by implementing a structured framework for operational efficiency, and ensuring that roles and responsibilities are clearly stated to bolster accountability and enhanced service delivery.
Keywords: Organizational Structure, Library, Satisfaction