Fair East Publishers: E-Journals
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Drinking water quality parameters in Africa and the United States: Implications for public health
Get PDFThis study provides a comparative overview of drinking water quality parameters in Africa and the United States, highlighting their implications for public health. Water quality encompasses physical, chemical, biological, and radiological characteristics, with significant variations influenced by source conditions and treatment processes. In Africa, inadequate infrastructure, pollution, and limited resources result in high levels of microbiological contaminants and chemical pollutants, leading to a high burden of waterborne diseases. Pathogens such as Escherichia coli and protozoan parasites like Cryptosporidium and Giardia are prevalent, contributing to substantial morbidity and mortality. Chemical contamination, including nitrates, pesticides, and heavy metals, exacerbates these issues. Conversely, the United States benefits from advanced water treatment technologies and stringent regulations, yet challenges persist. Issues such as lead contamination from aging pipes, emerging pollutants like PFAS, and localized contamination events continue to pose risks. Although regulatory frameworks like the Safe Drinking Water Act and proposed enhancements to the Lead and Copper Rule aim to mitigate these problems, maintaining and upgrading infrastructure remains critical. This study highlights the need for targeted interventions and policy improvements. For Africa, investing in infrastructure and treatment technologies is crucial, while in the U.S., addressing lead and emerging contaminants requires ongoing vigilance and investment. Further research is needed to assess the effectiveness of interventions, understand long-term health impacts, and develop sustainable solutions for enhancing global water quality and public health.
Keywords: Drinking Water Quality, Africa, United States, Microbiological Contaminants, Chemical Pollutants, Public Health, Waterborne Diseases
Chemical and mineralogical characterisation of Duguri Galena (Bauchi State, Nigeria)
Get PDFThis paper presents a detailed study of Galena samples' chemical and mineralogical properties collected from the Duguri area in Bauchi State, Nigeria. The sample for the research was sourced from Duguri town, Bauchi State, Nigeria. The sourced sample underwent comminution, homogenization, and sampling using the Coning and Quartering method followed by the Jones Riffle sampling method. Chemical analysis results of the crude ore sample showed the presence of Lead oxide (PbO) at an assay of 36.827 %, with Silica as the major gangue mineral present at 45.823 %. The other compounds present in the ore are ZnO (9.656 %), Fe2O3 (8.290 %), Al2O3 (3.409 %), TiO2 (1.072 %), WO3 (0.312 %), and AgO (0.001 %). Mineralogical Characterisation using XRD revealed the phases present in the ore as; Galena (47 %), Cerussite (19.0 %), Quartz (18.8 %), and Gratonite (15 %), hence confirming that the soured ore was Galena (PbS). SEM/EDS results showed the morphology of the sourced sample, containing Lead with other impurities in their quartz form within the ore matrix, with the presence of other elemental constituents (Si, C, and O).
Keywords: Galena, Chemical analysis, Mineralogical characterisation, Duguri area, Bauchi State, Nigeria
QUANTUM CRYPTOGRAPHY AND U.S. DIGITAL SECURITY: A COMPREHENSIVE REVIEW: INVESTIGATING THE POTENTIAL OF QUANTUM TECHNOLOGIES IN CREATING UNBREAKABLE ENCRYPTION AND THEIR FUTURE IN NATIONAL SECURITY
Get PDFThis study provides a comprehensive review of quantum cryptography and its implications for U.S. national security in the face of emerging quantum technologies. The primary objective is to investigate the potential of quantum cryptographic methods in creating unbreakable encryption and their future role in enhancing digital security. Employing a systematic literature review and content analysis, the study draws on recent peer-reviewed articles, institutional reports, and academic journals from 2013 to 2023. The methodology focuses on evaluating the evolution, current state, and challenges of quantum cryptography, along with its integration into existing security frameworks. Key findings reveal that Quantum Key Distribution (QKD) and post-quantum cryptography (PQC) offer promising solutions against the threats posed by quantum computing to classical encryption methods. However, the practical implementation of these technologies faces significant challenges, including technological limitations and the need for global standardization. The study underscores the urgency for U.S. national security policy to prioritize the development and integration of quantum-resistant cryptographic technologies and to foster international collaboration for standardization. Finally, the study highlights the transformative potential of quantum cryptography in digital security, emphasizing the need for continued research and collaboration to overcome implementation challenges. Future research directions include the development of efficient quantum cryptographic protocols and ethical considerations surrounding the deployment of quantum technologies. This study contributes to the discourse on securing national interests in the face of advancing quantum computing capabilities.
Keywords: Quantum Cryptography, Digital Security, Post-Quantum Cryptography, Quantum Key Distribution
LEGAL CHALLENGES OF ARTIFICIAL INTELLIGENCE AND ROBOTICS: A COMPREHENSIVE REVIEW
Get PDFThe paper presents an insightful overview of the intricate legal challenges posed by the proliferation of Artificial Intelligence (AI) and Robotics. This comprehensive review explores the multifaceted dimensions of the evolving legal landscape, addressing issues at the intersection of technology and law. Key focal points include the accountability and liability frameworks for autonomous AI systems, ethical considerations in the deployment of intelligent machines, and the complex dynamics of data privacy in the age of pervasive automation. The review delves into the intricate legal nuances surrounding intellectual property rights, particularly as AI systems contribute to creative outputs and innovation. It navigates the blurred lines between human and machine authorship, raising fundamental questions about ownership and protection in this digital era. Moreover, the paper emphasizes the global nature of these challenges, highlighting the imperative for international cooperation to formulate harmonized legal standards. As AI and robotics revolutionize industries and societal frameworks, the analysis underscores the critical need for adaptive and anticipatory legal frameworks. It explores how existing legal paradigms are grappling with the unprecedented speed of technological advancements and the ethical dilemmas arising from the delegation of decision-making to intelligent algorithms. The paper sets the stage for a thorough examination of the legal intricacies surrounding AI and robotics. It advocates for a proactive and collaborative approach, involving legal experts, technologists, ethicists, and policymakers in crafting robust frameworks that balance innovation with ethical, privacy, and accountability considerations. This review serves as a foundational resource for understanding and addressing the legal challenges inherent in the transformative era of Artificial Intelligence and Robotics.
Keywords: Artificial intelligence, Robotics, Legal, AI challenges, Ethics, Review
REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS
Get PDFEdge computing has emerged as a pivotal paradigm shift in the realm of data processing and analytics, revolutionizing the way organizations handle real-time data. This review presents a comprehensive review of the transformational impact of edge computing on real-time data processing and analytics. Firstly, the review delves into the fundamental concepts of edge computing, elucidating its architectural framework and highlighting its distinct advantages over traditional cloud-centric approaches. By distributing computational resources closer to data sources, edge computing mitigates latency issues and enhances responsiveness, thereby enabling real-time data processing at the edge. Furthermore, this review explores how edge computing facilitates the seamless integration of analytics capabilities into edge devices, empowering organizations to derive actionable insights at the source of data generation. Leveraging advanced analytics algorithms, such as machine learning and artificial intelligence, edge computing enables autonomous decision-making and predictive analytics in real time, fostering innovation across diverse industry verticals. Moreover, the review examines the transformative implications of edge computing on various sectors, including healthcare, manufacturing, transportation, and smart cities. By enabling localized data processing and analytics, edge computing enhances operational efficiency, ensures data privacy and security, and unlocks new opportunities for business optimization and value creation. This review underscores the profound impact of edge computing on real-time data processing and analytics, revolutionizing the way organizations harness data to drive informed decision-making and gain competitive advantage in today's dynamic business landscape. As edge computing continues to evolve, its transformative potential is poised to redefine the future of data-driven innovation and digital transformation.
Keywords: Edge, Computing, Analytics, Data, Impact, Review
DEVELOPING CYBERSECURITY FRAMEWORKS FOR FINANCIAL INSTITUTIONS: A COMPREHENSIVE REVIEW AND BEST PRACTICES
Get PDFIn the digital epoch, where the financial sector stands as the cornerstone of global economic stability, the escalating sophistication of cyber threats poses an unprecedented challenge. This scholarly pursuit aimed to dissect the intricate web of cybersecurity within the financial domain, elucidating the evolving threat landscape, scrutinizing the efficacy of existing cybersecurity frameworks, and delineating strategic pathways for fortification against digital adversaries. Anchored in a qualitative methodology, the study embarked on a systematic literature review, meticulously sifting through contemporary academic discourse to unveil the nuances of cybersecurity challenges besieging financial institutions. The scope of this inquiry spanned the assessment of regulatory landscapes, the exploration of technological innovations in cybersecurity, and the critical examination of human factors influencing cybersecurity efficacy. The findings illuminate a stark reality—the existing cybersecurity frameworks, though foundational, are increasingly inadequate in the face of sophisticated cyber threats. The study advocates for a paradigmatic shift towards more adaptable, robust, and technology-driven cybersecurity frameworks, underscored by the imperative for regulatory agility and international collaboration. Conclusively, the paper posits that the future of cybersecurity in the financial sector hinges on a tripartite alliance among financial institutions, regulatory bodies, and technology providers, urging a unified front to navigate the cyber tempest. Recommendations call for an integrated approach that marries regulatory compliance with cutting-edge technological solutions, fostering a cybersecurity ecosystem that is both resilient and responsive to the digital zeitgeist. This scholarly endeavor not only contributes to the academic discourse on financial cybersecurity but also serves as a beacon for policymakers, practitioners, and stakeholders in charting a secure course in the digital financial frontier.
Keywords: Cybersecurity, Financial Sector, Systematic Literature Review, Regulatory Compliance, Technological Innovation, Strategic Recommendations
LEVERAGING AI IN CASE MANAGEMENT FOR VULNERABLE MIGRANTS: A PATH TOWARD ENHANCED RESILIENCE
Get PDFThe concept paper explores the potential of artificial intelligence (AI) in improving case management for vulnerable migrants. With the increasing challenges faced by migrants, including displacement, exploitation, and lack of access to services, there is a growing need for innovative solutions to support their well-being and resilience. The paper begins by providing an overview of the current landscape of migration and the challenges faced by vulnerable migrants. It highlights the limitations of traditional case management approaches, including resource constraints, lack of data-driven decision-making, and difficulty in tracking and monitoring cases effectively. The paper then delves into the potential of AI in transforming case management for vulnerable migrants. AI technologies, such as natural language processing (NLP), machine learning (ML), and data analytics, can enable more efficient and effective case management processes. AI can help in automating routine tasks, such as data entry and documentation, allowing case workers to focus more on providing personalized support to migrants. Furthermore, AI can assist in identifying patterns and trends in migration flows and service utilization, enabling more proactive and targeted interventions. By leveraging AI, case workers can make more informed decisions, improve service delivery, and enhance the overall resilience of vulnerable migrants. However, the paper also acknowledges the challenges and ethical considerations associated with the use of AI in case management. These include concerns about data privacy and security, algorithmic bias, and the potential for AI to replace human decision-making entirely. Addressing these challenges will be crucial in ensuring that AI is used responsibly and ethically in supporting vulnerable migrants. In conclusion, the concept paper emphasizes the importance of leveraging AI in case management for vulnerable migrants as a means to enhance resilience and improve outcomes. It calls for a collaborative approach involving policymakers, practitioners, and technology developers to harness the full potential of AI in supporting vulnerable migrants and building more inclusive and resilient communities.
Keywords: AI, Case Management, Migrants
Innovation green technology in the age of cybersecurity: Balancing sustainability goals with security concerns
Get PDFThis study explores the critical intersection of cybersecurity measures and green technologies, aiming to assess their combined impact on sustainability goals and stakeholder implications. Employing a systematic literature review methodology, the research scrutinizes peer-reviewed journals, conference proceedings, and reports from reputable databases, focusing on publications from the year 2010 to 2024. The review identifies key themes, including the integration challenges and opportunities of cybersecurity within sustainable technologies, the evolving landscape of cybersecurity protocols, and the strategic implications for industry leaders, policymakers, and technologists. Key insights reveal the dual imperative of pursuing sustainability alongside security, highlighting the necessity of integrating robust cybersecurity measures without compromising the environmental benefits of green technologies. The study identifies significant challenges at this nexus, such as the rapid evolution of cyber threats and the complexity of embedding cybersecurity in green innovations. It also outlines opportunities for innovation and the development of a security-aware culture that supports environmental sustainability. Strategic recommendations are provided for stakeholders to navigate these complexities, emphasizing the importance of multidisciplinary approaches, continuous learning, and the development of policies that encourage the adoption of secure and sustainable technologies. The study concludes that fostering innovation in green technology requires a concerted effort to integrate cybersecurity measures effectively, underscoring the need for future research to expand the knowledge frontiers in this critical area. This research contributes to the ongoing dialogue on achieving environmental sustainability and technological resilience, offering a foundation for further exploration and action towards these dual objectives.
Keywords: Cybersecurity, Green Technologies, Sustainable Technological, Stakeholder Security Concerns.  
UNLOCKING THE POTENTIAL OF INNOVATIVE HR PRACTICES FOR SUPERIOR ORGANIZATIONAL PERFORMANCE: A TRANSFORMATIVE CASE STUDY OF SMES IN OMAN
Get PDFAs the business landscape in Oman continues to evolve, it is becoming increasingly clear that innovative HR practices will play a key role in determining the success of SMEs. In the coming years, we can expect to see a growing emphasis on HR practices that prioritize employee empowerment, engagement, and development. It will be interesting to explore how such practices will impact organizational performance in the SME sector of Oman. A quantitative research approach was adopted to achieve this, and data was collected using a structured survey questionnaire. The survey received responses from 383 randomly selected proprietors across all regions of the Sultanate of Oman. The data collected from the questionnaires was used to evaluate the participants' feedback on different innovative HR practices and their impact on organizational performance. The findings from the data collected showed that there is a positive and significant effect of innovative HR practices on organizational performance in terms of recruitment & and selection, learning & and development, performance appraisal and employee commitment. It is concluded that Innovative HR practices are vital in every SME in Oman.
Keywords: Human Resource, SMEs, Recruitment, Selection, Learning, Development, Reward, Appraisal, Involvement
INNOVATIONS IN BUSINESS MODELS THROUGH STRATEGIC ANALYTICS AND MANAGEMENT: CONCEPTUAL EXPLORATION FOR SUSTAINABLE GROWTH
Get PDFIn today's rapidly evolving business landscape, the integration of strategic analytics and management practices has become increasingly crucial for organizations seeking sustainable growth and competitive advantage. This paper aims to explore the concept of leveraging strategic analytics within business models to drive innovation and foster sustainable growth. The modern business environment is characterized by unprecedented levels of complexity, volatility, and uncertainty. Globalization, technological advancements, and shifting consumer preferences have disrupted traditional business models, compelling organizations to adapt or risk obsolescence. In this context, strategic analytics emerges as a powerful tool for organizations to navigate uncertainty, mitigate risks, and capitalize on emerging opportunities. Strategic analytics involves the systematic collection, processing, and analysis of data to inform decision-making processes and drive strategic initiatives. By leveraging advanced analytical techniques such as predictive modeling, machine learning, and data mining, organizations can gain actionable insights into various aspects of their operations, including customer behavior, market trends, and competitive dynamics. By leveraging advanced analytical techniques, organizations can gain a deeper understanding of customer needs, optimize internal processes, and anticipate changes in the competitive landscape. This enables organizations to drive innovation, foster sustainable growth, and create value for customers, shareholders, and society as a whole. Through a conceptual exploration, we examine the fundamental principles, challenges, and opportunities associated with integrating strategic analytics into various facets of business models. Drawing upon theoretical frameworks and empirical evidence, this paper elucidates the transformative potential of strategic analytics in reshaping traditional business models and creating new avenues for value creation. Furthermore, we discuss the implications for managers, policymakers, and researchers, highlighting the imperative of embracing strategic analytics as a cornerstone for driving organizational success in the digital age.
Keywords: Business, Model Innovation, Sustainable Growth, Management, Strategic Analytics