Journal of Current Science and Research Review
Journal of Current Science and Research Review (JCSRR) is a prestigious scholarly publication dedicated to promoting and disseminating cutting-edge research and critical reviews across various scientific disciplines. With a commitment to excellence, JCSRR provides a platform for scientists, researchers, academicians, and professionals to showcase their work and contribute to the advancement of knowledge in their respective fields.
Unpacking Contemporary Gender Identity Narratives: Insights into Their Impact on Adults with Level 1 Autism Spectrum Disorder
The evolving landscape of gender identity narratives—encompassing identities beyond the traditional binary such as non-binary, transgender, and gender-fluid—has profoundly influenced societal perceptions of selfhood. Yet, the intersection between these contemporary narratives and adults diagnosed with Level 1 Autism Spectrum Disorder (ASD) remains critically underexplored. Individuals with Level 1 ASD, characterized by subtle but impactful social communication challenges and a strong sense of personal identity, may experience unique interactions with gender constructs due to differences in cognitive processing and social integration. This study aims to unpack how contemporary gender identity discourses affect identity formation, mental health, and social belonging among adults with Level 1 ASD. Using a mixed-method approach, the research surveyed 120 participants aged 18–45, combining standardized mental health assessments with semi-structured interviews to capture both quantitative trends and rich qualitative insights. Statistical analyses evaluated the relationship between comfort with gender expression and mental health outcomes, while thematic analysis illuminated recurring experiences of affirmation, conflict, and community navigation. Findings reveal a nuanced dynamic: contemporary gender narratives offer empowering frameworks for self-understanding among ASD individuals, yet societal expectations and misunderstandings simultaneously pose risks for social alienation and mental health deterioration. Higher levels of comfort with one’s gender identity correlated positively with better mental health scores. However, qualitative themes underscored a persistent struggle for acceptance both within broader society and within autism-specific communities. The study highlights the urgent need for intersectional approaches in clinical practice, educational programming, and advocacy work that recognize and support the distinct experiences of neurodiverse individuals exploring gender identity. It recommends targeted interventions that affirm both neurodiversity and gender diversity as integral aspects of identity, with implications for mental health practitioners, educators, policymakers, and support networks.
Gender identity, Autism Spectrum Disorder Level 1, neurodiversity, mental health, social inclusion, gender fluidity, identity narratives.
Copyright (c) 2025 Ekaterina J. Yarley (Author) https://creativecommons.org/licenses/by/4.0
Enhancing Enterprise Decision Automation: A Comparative Study of Pega Decisioning AI and AWS AI Services
Enterprise decision automation has become a critical component in modern business environments, enabling organizations to enhance operational efficiency, optimize workflows, and improve customer engagement through artificial intelligence (AI) and machine learning (ML). As enterprises increasingly adopt AI-driven decision-making solutions, selecting the most suitable platform becomes a key strategic decision. This study provides a comparative analysis of Pega Decisioning AI and AWS AI Services, two leading AI-powered decision automation platforms, to assess their capabilities, scalability, cost-effectiveness, and suitability for different business applications. Pega Decisioning AI is a rule-based, business process automation platform that specializes in real-time customer engagement, decision optimization, and workflow automation. It leverages Next-Best-Action (NBA) strategies and predefined business logic to drive personalized recommendations and automate operational processes efficiently. By contrast, AWS AI Services offer a modular, cloud-native suite of AI tools, including Amazon SageMaker, Amazon Personalize, and Amazon Lex, which support a data-driven, machine-learning-based approach to decision-making. These services provide enterprises with greater flexibility, scalability, and deep-learning capabilities, making them suitable for predictive analytics, fraud detection, natural language processing (NLP), and autonomous decision-making. The comparative evaluation in this study focuses on five key dimensions: (1) Decision Automation Capabilities, (2) Integration Complexity, (3) Scalability and Performance, (4) Cost Efficiency, and (5) Industry Applications. Findings indicate that while Pega Decisioning AI excels in structured decision automation, particularly in industries such as finance, telecom, and insurance, AWS AI Services offer a more flexible and scalable solution, suitable for healthcare, retail, and cloud-native enterprises. The study also highlights that cost considerations play a significant role in platform selection, with Pega’s subscription-based pricing model offering predictability, whereas AWS AI’s pay-as-you-go model provides cost efficiency for dynamic workloads. This research contributes to the ongoing discourse on AI-driven enterprise decision automation by providing actionable insights for organizations seeking to implement intelligent decisioning solutions. It emphasizes the strengths, weaknesses, and best use cases of both platforms and offers recommendations on how enterprises can align their decision automation strategies with business objectives, IT infrastructure, and cost constraints. The findings suggest that hybrid decision automation approaches, combining rule-based and AI-driven methodologies, could enhance enterprise decision intelligence, predictive analytics, and process automation in the future.
Copyright (c) 2025 Vamsi Viswanadhapalli (Author) https://creativecommons.org/licenses/by/4.0
In the Rhythm of Time: Aesthetic and Creative Processes in Focus
How is waiting perceived as a conscious, aesthetic practice? What parallels are there between waiting and the creative process of making? Waiting is a fundamental human experience that unfolds different meanings in different cultural and artistic contexts. The question of how waiting can be perceived as a conscious, aesthetic practice opens up perspectives on the connection between temporal experience and creative design. It is possible to examine the extent to which waiting can be understood as a reflected state that, like the creative process, encompasses phases of expectation, uncertainty and transformation. Both waiting and art production require patience, openness to the unexpected and the ability to use uncertainty productively. In this context, the challenge arises not only to view waiting situations as passive moments, but to actively integrate them into artistic or aesthetic processes. Waiting can be perceived as a conscious, aesthetic practice that invites reflection and creativity and runs parallel to the creative process itself. As Yoo suggests, waiting can be transformed from a mechanical, purposeless state into a living experience that is of intrinsic value and allows the individual to experience the richness of waiting (Yoo, 2022). This notion is in line with Martin-Mattera's discussion of anticipation as a crucial element of creation, where the act of waiting fosters a dynamic interplay between desire and reality, ultimately leading to new creative insights (Martin-Mattera, 2013). This corresponds to the concept of anticipation in the creative process, where waiting becomes a space for potential and the emergence of new ideas, as discussed by Patrick Martin-Mattera. Farman further contextualizes waiting within societal frameworks, highlighting how it disrupts conventional narratives of productivity and thus can enable a deeper engagement with time and existence (Farman, 2018). Matchett and Okech's poetry illustrates the emotional weight of waiting and emphasizes its role in social and personal contexts, which can inspire artistic expression and collaborative reflection (Matchett & Okech, 2015). The concept of waiting is explored here as a liminal space, further emphasizing its role in coping with uncertainty and fostering hope for change. Taken together, these perspectives emphasize waiting as fertile ground for creativity, where anticipation and reflection meet to enrich the human experience. The ‘in-between time’ is also seen as a time of possibility, where waiting allows for the coexistence of calculation and uncertainty, and the emergence of new social and material contexts. (In the Meantime, 2023).
Copyright (c) 2025 Ralf Edelmann (Author) https://creativecommons.org/licenses/by/4.0
Legal Aspects of Manipulating Advertising Materials in eCommerce: Causes of Disputes, Case Law, and Conflict Prevention Strategies
The rapid expansion of eCommerce has significantly increased the role of digital advertising in influencing consumer behavior. However, the prevalence of manipulative advertising practices such as misleading claims, hidden fees, deceptive visuals, and scarcity tactics has led to a surge in legal disputes and regulatory interventions. Governments and consumer protection agencies worldwide have enacted strict laws to combat misleading advertising, yet violations persist, resulting in consumer distrust, financial penalties, and reputational damage for businesses. This research provides an in-depth examination of the legal aspects of advertising manipulation, focusing on the causes of disputes, major regulatory frameworks, case law analysis, and conflict prevention strategies. By analyzing global and regional legal frameworks including the Federal Trade Commission (FTC) regulations in the United States, the Unfair Commercial Practices Directive (UCPD) in the European Union, and China’s eCommerce laws this study explores how different jurisdictions define and penalize deceptive marketing. A review of landmark cases, such as FTC v. Volkswagen, illustrates how courts assign liability and enforce compliance. Furthermore, this paper proposes preventive measures, such as transparent advertising practices, AI-based ad monitoring, internal review mechanisms, and legal collaborations, to mitigate legal risks. The findings underscore the need for a balanced approach that fosters innovation while maintaining ethical and legal advertising standards, ensuring consumer trust and sustainable business practices in the evolving digital marketplace.
Unfair Commercial Practices Directive (UCPD)
Copyright (c) 2025 Volodymyr Bezditnyi (Author) https://creativecommons.org/licenses/by/4.0
Financial Technology and Environmental Innovation Impact on CO₂ Emissions in Developed Countries
The rapid advancement of Financial Technology (FinTech) and Environmental Innovation has transformed economic and financial landscapes, raising questions about their impact on CO₂ emissions in developed economies. As developed nations aim for net-zero emissions, understanding how financial technology and innovation contribute to emission reductions is crucial. FinTech plays a significant role in promoting sustainable finance, enhancing green investments, and facilitating carbon credit trading through digital platforms, while environmental innovation fosters energy-efficient solutions and technological advancements for cleaner production processes. This study empirically examines the relationship between FinTech adoption, environmental innovation, and CO₂ emissions in developed countries over the past decade. Using panel data from institutions such as the World Bank, IMF, and Global FinTech Index, we assess the impact of financial digitalization and green technological advancements on carbon emissions. The study employs descriptive statistics, correlation analysis, and panel regression models to quantify the influence of these factors on national emissions levels. Key variables include the FinTech Index, Environmental Innovation Index, GDP per capita, Renewable Energy Share, and CO₂ emissions per capita as the dependent variable. Findings indicate that both FinTech adoption and environmental innovation have a significant negative correlation with CO₂ emissions, suggesting that increased financial digitalization and technological advancements in sustainability lead to lower emissions. Developed economies that have embraced **FinTech-driven sustainable finance solutions and R&D in green technologies** exhibit better environmental performance. The study underscores the importance of fostering FinTech-based green investments, digital carbon markets, and regulatory incentives to accelerate carbon reduction efforts. Policy implications suggest that governments should integrate FinTech solutions in climate finance, promote digital carbon credit markets, and invest in sustainable innovations to achieve their climate targets. These findings contribute to ongoing policy discussions on using technological and financial innovation to combat climate change and transition toward a low-carbon economy.
Copyright (c) 2025 Faraz Asgher Mangi (Author) https://creativecommons.org/licenses/by/4.0
Revolutionizing Pediatric Emergency Medicine with Artificial Intelligence: Innovations, Case Studies, and Future Directions
Pediatric emergency medicine, a high-stakes specialty, demands swift and accurate decision-making to address critical conditions in children. The integration of Artificial Intelligence (AI) into this field is transforming diagnostics, triage, and treatment, enabling unprecedented levels of precision and efficiency. This article examines the role of AI in pediatric emergencies, showcasing real-world applications, case studies, and evidence-based research from leading institutions. From AI-driven diagnostics and predictive monitoring to triage optimization and personalized treatments, these innovations significantly enhance patient outcomes. Despite challenges like data privacy, algorithmic bias, and integration into clinical workflows, AI's potential to revolutionize pediatric emergency care remains immense. By addressing these challenges and fostering collaboration among clinicians, researchers, and technologists, the adoption of AI can be accelerated to ensure equitable, timely, and effective care for children worldwide.
Artificial Intelligence (AI) in Healthcare
Copyright (c) 2025 Sabira Arefin, Global Health Institute Research Team, Dr. Hussam Muhy Abady Al Alwany (Author) https://creativecommons.org/licenses/by/4.0
Novel Nitrogen Hybrid Gas-Based Nanofoam System for Enhanced Geothermal Applications: Nanogeios and GEIOS Geothermal EQG Laboratory Validation Study
This paper presents comprehensive laboratory validation results for an innovative nitrogen hybrid gas nanofoam system engineered specifically for enhanced geothermal applications. The system, comprising a nitrogen gas matrix (95% by volume) with precisely engineered aluminum oxide (0.6-0.8% vol) and silica (0.3-0.5% vol) nanoparticles, demonstrates unprecedented improvements in both fracture stability and thermal conductivity under simulated geothermal conditions. Laboratory testing conducted between March and November 2024 at pressures between 80-140 MPa and temperatures up to 240°C revealed sustained fracture apertures of 3 mm with only 12% degradation over 15 weeks of continuous operation. Thermal conductivity measurements demonstrated consistent values of approximately 30 W/m·K, representing a 166-336% enhancement over conventional materials. The system maintained exceptional stability with Reynolds numbers exceeding 10⁴ and Weber numbers above 50, while achieving uniform particle distribution (CV <15%) and minimal coalescence rates (<0.1% per hour). These results validate the technology's potential for commercial-scale geothermal power generation, particularly for the planned 200 MW project implementation. This paper presents laboratory validation results for an innovative gas-based nanofoam system engineered for enhanced geothermal applications. The study, conducted in 2024, demonstrates significant improvements in fracture stability and thermal conductivity through the integration of engineered nanoparticles within an inert gas matrix. Testing under simulated geothermal conditions showed sustained fracture stability with minimal degradation over extended testing periods, while achieving substantial thermal conductivity enhancements compared to conventional systems.
Copyright (c) 2025 Abdelmoumen Shad Serroune (Author) https://creativecommons.org/licenses/by/4.0
Distributed Ledger Technology for Transparent and Secure Warehouse Inventory Tracking
The rapid growth of global trade and e-commerce has placed unprecedented demands on warehouse management systems (WMS), emphasizing the need for accuracy, efficiency, and security in inventory tracking. Traditional systems often fall short, facing challenges such as data inconsistencies, lack of transparency, and vulnerability to fraud or cyberattacks. To address these issues, this research explores the integration of Distributed Ledger Technology (DLT), commonly known as Blockchain, and Artificial Intelligence/Machine Learning (AI/ML) within WMS from a software engineering perspective. Blockchain, with its decentralized, immutable, and transparent ledger capabilities, ensures robust security and accountability in warehouse operations. By eliminating intermediaries and providing a tamper-proof record of transactions, Blockchain enhances the traceability of inventory data, thereby reducing errors and fraud. AI/ML, on the other hand, empowers WMS through predictive analytics, demand forecasting, and anomaly detection, enabling proactive decision-making and optimizing resource allocation. Together, these technologies form a cohesive framework that not only addresses operational inefficiencies but also strengthens supply chain integrity. This article examines the synergistic role of Blockchain and AI/ML in transforming warehouse management practices. It highlights their applications in secure inventory tracking, automated verification of goods, and real-time monitoring of supply chain activities. Furthermore, it presents a scalable model for integrating these technologies into existing WMS, emphasizing enhanced transparency, security, and efficiency. The findings underscore the potential of these advancements to revolutionize supply chain and logistics operations, paving the way for a new era of secure and intelligent warehouse management systems.
Copyright (c) 2025 Gautham Ram Rajendiran (Author) https://creativecommons.org/licenses/by/4.0
Strategies for Reducing Costs in Custom Software Development: Leveraging Modern Technologies for Competitive Advantage
Technology continues change at a very fast pace especially in what concerns software development, intensifying pressure on companies that have been in business for many years to provide more efficient solutions that offers both reasonable price, quality and ability to scale up. In this article, the author examines a vast range of approaches to cost-effective custom software development solutions and identifies such tools as low/no-code platforms, reusable assets, artificial intelligence, open-source tools, and cloud space as critical substrates available in today’s world. This paper sheds light on the advantages and disadvantages of the aforesaid approaches to guide established companies in the development of efficient development pipelines and counteract with new entrants of the market. Moreover, the article underscores the value of flexibility riding the aperture of further change with the excitement of having to be resilient to employing adjustative and DevOps methodologies, skill gap, and organizational resistance factors. Examples and desk research show that these methods have been effective in lowering development costs of large-scope projects and present recommendations based on experience. As such, this article is meant to help establish familiarity with cost reduction methods with further empirical studies to be conducted on each strategy that has been mentioned.
Copyright (c) 2024 Chingiz Mizambekov (Author) https://creativecommons.org/licenses/by/4.0
AI-Powered Autonomous Compliance Management for Multi-Region Data Governance in Cloud Deployments
With the emergence of cloud solutions as an essential element of corporate IT processes, decision-makers and IT managers face a growing number of challenges and opportunities for data management, particularly when organizations use multiple regions for data storage and processing, and work under GDPR, HIPAA, or CCPA regulations. Traditional methods of working with compliance management are not suitable for these tasks because such work requires a lot of resources, and compliance management itself is a critical process subject to human errors. Herein, the author discusses the role and capability of state-of-art AI autonomous compliance management systems to facilitate the automation and optimization of multi-region cloud compliance. Some of the characteristics of such systems are automated matching of policy, smart categorization of data, real-time audit trail readiness and monitoring of cross border data transfer. As integrated systems incorporating elements of machine learning and natural language processing, non-voice IVR systems are compliant, scalable, accurate, and efficient. This article also touches on implementation frameworks, compatibility and connection with the top cloud provider solutions, also cases /use cases solution, pros/cons of AI compliance solutions. Last but not least, it analyzes trends to come and the likely evolution of AI to support fully-automated multiple-region data management.
Natural language processing in compliance
Machine learning for regulatory compliance
Copyright (c) 2024 Deepak Kaul (Author) https://creativecommons.org/licenses/by/4.0
Integrating Quality at Source into Supplier Management: A Pathway to Cost Efficiency and Regulatory Compliance
Integrating Quality at Source (Q@S) into supplier management is a transformative approach that emphasizes defect prevention and quality assurance at the point of origin in the supply chain. This paper explores how Q@S can drive cost efficiency and ensure regulatory compliance by addressing quality concerns early in the production process. The study examines the challenges of supplier management in modern, globalized supply chains, including inconsistent quality, communication barriers, and compliance risks. It introduces Q@S as a proactive framework that integrates supplier evaluation, collaborative partnerships, technology adoption, and performance metrics to enhance supply chain efficiency. The findings demonstrate that implementing Q@S not only reduces costs associated with defects, rework, and non-compliance but also streamlines supplier processes and fosters long-term partnerships focused on continuous improvement. Moreover, organizations adopting Q@S practices benefit from improved regulatory compliance, reduced legal risks, and enhanced reputation in the market. A detailed case study of Company XYZ illustrates the practical application of Q@S principles, showcasing significant improvements in defect rates, compliance metrics, and overall cost savings. This paper includes actionable insights, supported by comprehensive tables and graphs, such as a supplier evaluation framework, key performance indicators, and cost savings analyses, to provide a pathway for organizations aiming to integrate Q@S into supplier management. By aligning quality practices with supplier operations, businesses can achieve sustainable supply chain excellence, offering a competitive advantage in a highly regulated and cost-sensitive environment.
Copyright (c) 2024 Binitkumar M Vaghani (Author) https://creativecommons.org/licenses/by/4.0
Enhancing Digital Security: How Identity Verification Mitigates E-Commerce Fraud
The exponential growth of e-commerce has revolutionized how transactions are conducted, offering unprecedented convenience and global reach. However, this transformation has also attracted sophisticated cyber threats, including identity theft, account takeovers, and phishing scams, resulting in significant financial and reputational losses. Mobile identity verification has emerged as a pivotal solution, leveraging technologies such as biometrics, multi-factor authentication (MFA), and AI-driven analytics to combat fraud effectively. This paper explores the role of mobile identity verification in enhancing the security of digital transactions in e-commerce. Through a review of recent advancements, case studies, and data analysis, we demonstrate how mobile verification systems reduce fraud, foster consumer trust, and streamline compliance with regulatory frameworks. Despite its efficacy, challenges such as usability concerns, cost barriers, and technical vulnerabilities persist. We propose innovative solutions, including the integration of blockchain technology and advanced behavioral analytics, to address these limitations and outline future research directions for optimizing transaction security in the digital age.
Mobile identity verification, e-commerce fraud, digital transaction security, biometrics, multi-factor authentication, AI in fraud prevention, blockchain technology
Copyright (c) 2024 Swapnil Patil , Vikesh Dudhankar, Pradyumna Shukla (Author) https://creativecommons.org/licenses/by/4.0
Transforming Supply Chains with Generative AI: Advancing Efficiency and Resilience in Support of U.S. Interests
Generative AI is being adopted constantly in SCM to change the world by solving issues, improving flexibility, and increasing robustness. While relying on the traditional models of supply chain management, time-consuming supply chain disruptions prove to be difficult to address as are resource constraints and unpredictability of market demands, and therefore, important weaknesses in economic and strategic supply are left unaddressed. Generative AI provides the solutions for transformation via the application of strategic forecasting and near real time analysis and the conjuring of potential future states. They help the business organisations to reduce risk, control stocks, improve transportation and production processes to encourage competitiveness and sustainable development. Additionally, generative AI accords with American strategic objectives by building upon economic resilience and maintaining the world’s competitiveness as more changes threaten to occur. These arguments form the basis of this paper, given its focus on the use of generative AI in supply chains, the advantages that accrue from this use, the difficulties as well, and ways forward in expanding the application of generative AI in supply chains to develop an effective framework for the future.
Copyright (c) 2024 Viswaprakash Yammanur (Author) https://creativecommons.org/licenses/by/4.0
Optimizing Supply Chain Logistics with Big Data and AI: Applications for Reducing Food Waste
Food waste is a critical global issue with far-reaching economic, environmental, and social implications. Supply chain inefficiencies, such as improper demand forecasting, inadequate storage, and transportation delays, significantly contribute to food loss. This research explores how Big Data analytics and Artificial Intelligence (AI) can optimize supply chain logistics to mitigate food waste. By leveraging advanced predictive models, machine learning algorithms, and real-time data processing, this study aims to identify critical areas of waste, enhance decision-making, and improve overall supply chain efficiency. The paper examines current applications of AI and Big Data in the food supply chain, focusing on predictive demand analytics, inventory management, and route optimization. Case studies from leading industries illustrate the transformative potential of these technologies, highlighting their role in reducing food spoilage and improving sustainability. Additionally, the study evaluates challenges such as data integration, scalability, and implementation costs, offering practical solutions to overcome these barriers. Through a systematic analysis of field data and simulation models, this research demonstrates that adopting AI-driven approaches can reduce food waste by up to 30% in supply chains. Key findings include a significant reduction in lead times, improved freshness of perishable goods, and a measurable decrease in carbon footprint. The study concludes by emphasizing the need for collaborative efforts between stakeholders to harness the full potential of Big Data and AI for sustainable food supply chains. This research contributes to the growing body of knowledge on digital transformation in logistics and provides actionable insights for businesses, policymakers, and researchers aiming to tackle food waste through innovative technological solutions.
Copyright (c) 2024 Ahmed Elgalb, Maher Gerges(Author) https://creativecommons.org/licenses/by/4.0
Securing Cloud-Native Infrastructure with Zero Trust Architecture
Modern application development has been revolutionized by cloud-native infrastructure which has become the focus of scalability, agility and efficiency. However, the inherent security risks that come with this new model – workload fluctuation, structural decentralization, and the fleeting nature of containers – call for a new approach to security. Conventional threat perimeter control strategies do not effectively mitigate these problems at all, and therefore are ill-suited for native-cloud environments. Zero Trust Architecture (ZTA) with its” never trust, always verify” vision offers an answer. This paper examines the applicability of the ZTA model to the cloud-native infrastructure, to help the reader understand how ZTA may also be used in this setting. This criminalizes domain had pointed some areas of concentration as; identity assurance, use of the principle of least privilege, micro-segmentation and continuous monitoring which are essential in the security of distributed systems. Furthermore, this research explores the underlying technologies that turn Zero Trust into the order of the day, including service meshes, identity platforms, or container security solutions. By examining typical difficulties that can be met during the preparation for the transition to Zero Trust – from misconfigurations to API breaches and supply chain challenges – the book offers specific recommendations and a guide for organizations willing to become Zero Trust-ready. To this end, the paper shows the pragmatic applicability of Zero Trust by integrating ZTA with current DevOps paradigms and automating policy application. Because cyber threats continue to evolve, integrating ZTA is no longer considered optional — but rather imperative for successfully achieving cloud-native security. This research is designed to help the security professionals, DevOps engineers, and organization leaders seeking to implement Zero Trust to the cloud-native environments.
Copyright (c) 2024 Naveen Kodakandla (Author) https://creativecommons.org/licenses/by/4.0
Hybrid Cloud Strategies: Optimizing Resource Allocation for Competitive Advantage in U.S. Enterprises
In the increasingly dynamic environment in the cloud paradigm today, American organizations have identified the hybrid cloud model as one of the key enablers of rational resource management and competitive advantage. Hybrid cloud systems, where public and private environments are further interconnected, provide benefits to companies by improving the values of scalability, elasticity, and resulting business benefit. In this paper, the following research questions have been addressed: Resource management in hybrid cloud environments and their impact on organizational performance based on workload automation, cost regulation, and related strategies. Thus, it discusses how problems associated with these architectures – integration difficulties, security and compliance issues – become barriers to implementation, as well as how to overcome them. Moreover, the study presents practical use cases and best practices supported by examples of how American organizations incorporate the hybrid cloud concept to enhance innovation, market reactivity, and organizational performance. This analysis also brings together key trends, including edge computing and artificial intelligence used in resource management, stressing that for enterprises to maintain competitiveness in a constantly evolving market, more profound and complex hybrid cloud solutions are required today.
Regret and Decision Making: When the Negative Event Does Not Occur
The goal of our study is to elucidate the phenomenon of “anticipatory regret” based on common scenarios where individuals anticipate potential regret arising from their decisions that may result in an undesirable outcome. Anticipated regret has a significant influence on our choices, often prompting us to take preventative measures to avoid this potential regret. Our research aims to deepen our understanding of this complex interaction between the frequencies of occurrence of negative events, the decision to purchase insurance and anticipated regret. To do this, we use a rigorous experimental methodology carried out on 320 students with the aim of better understanding the mechanisms underlying decision-making in situations of uncertainty and risk.
Copyright (c) 2023 TRAORE Sékou (Author) https://creativecommons.org/licenses/by/4.0
Governance and Development Dilemma in Zimbabwe: A Historical, Political, and Social Analysis
Zimbabwe has faced multiple challenges in governance and development since its independence in 1980. Despite its rich natural and human resource base, the country has experienced political instability, economic decline, social unrest, and human rights violations. This study aims to explore the factors that have contributed to the governance and development crisis in Zimbabwe and to identify possible ways to overcome it. This study adopts a mixed-methods approach, combining quantitative data from surveys and indicators with qualitative data from interviews and document analysis. This research finds that the governance and development problems in Zimbabwe are rooted in the historical legacies of colonialism, liberation struggle, and post-independence authoritarianism. This study also reveals that the current political regime has failed to address the needs and aspirations of the majority of Zimbabweans and has instead pursued its own interests and agendas. The research suggests that for Zimbabwe to achieve sustainable governance and development, it needs to undergo a democratic transition that respects the rule of law, human rights, and social justice. This research also recommends that Zimbabwe engage in regional and international cooperation to foster peace, security, and economic integration.
Copyright (c) 2023 Abednico Siambombe (Author) https://creativecommons.org/licenses/by/4.0
The Adequacy of the Child Rights Law Regime for the Protection of the Welfare of Children of the Prisoners in Sri Lanka
In recent decades, there has been a significant increase in the incarceration rate of prisoners for various reasons. This rise has also led to an increase in the number of children residing with their incarcerated parents. Despite these trends, specific laws addressing the welfare rights of these children in terms of education, health, safety, and nutrition seem to be lacking. Notably, the United Nations Rules for the Treatment of Female Prisoners and Non-Custodial Measures for Women Offenders, known as the Bangkok Rules, adopted in 2010, represent the first international instrument addressing the needs of children living in prisons with their parents. However, neither the Prison Ordinance nor any other existing laws in Sri Lanka address the situation of children of prisoners. This research aims to investigate and identify the legal framework necessary to safeguard the welfare rights of children living with their incarcerated parents while assessing the current legal status that should be taken into account to protect these rights in selected prisons and probation houses in Sri Lanka. A mixed-methods approach was employed for this study, utilizing a historical analysis to understand the evolution of related laws, a comparative legal analysis to draw insights from jurisdictions like Australia, England and Wales, India, and South Africa, and personal interviews to gather empirical data. The findings, based on feedback obtained from interviews with prisoners with children in Welikada and Pallekale prisons, probation houses in Pamunuwa and Makola, prison authorities, child rights activists, and legal representatives, conclude that the existing legal framework is insufficient to address the rights of children of prisoners. Consequently, this research recommends the enactment of legislation to comprehensively govern and protect these children's rights.
Copyright (c) 2023 Anushka Pathiraja Weerakkody, Fahim Aslam (Author) https://creativecommons.org/licenses/by/4.0
Revolutionising Delivery in TVET for Industry 4.0: Strategies from the Field– NGT and ISM Approach
Digital technologies and changing job market demands have brought significant changes to education and training. Industry 4.0, marked by advanced technologies and widespread digitisation, has transformed traditional industrial processes, creating entirely new job roles. As a result, new entrants to the workforce need fresh skills for this digital era. Integrating digital technologies into Technical and Vocational Education and Training (TVET) is crucial for preparing individuals for Industry 4.0. The COVID-19 pandemic emphasises the vital role of digitalisation in TVET. However, these changes have also revealed digital divides, showing limitations in traditional teaching methods and offering an opportunity for innovation. This research explores instructional strategies to transform the delivery and enhance the quality of TVET in Malaysia. The model, developed through the NGT and ISM approach, involves nine experts with over a decade of experience in mechanical and manufacturing-related diploma programmes from both public and private TVET institutes in Malaysia. Experts represented various portfolios related to learning and teaching and TVET management. The findings revealed seven delivery strategies prioritised and to be focused on. These strategies are clustered into three themes: technology-mediated learning environments, industry-simulated TVET settings and contextualised learning experiences. The strategies highlight the evolving roles of technical TVET instructors, which include facilitator of online or remote learning, curator of digital content, learning architect and technology integrator, as well as industry liaison and strategic partnership promoter. Originality/value - The study offers a practical solution for technical TVET instructors' reference in integrating technology in physical and remote learning environments.
TVET, Delivery Strategies, Industry 4.0, ISM, NGT
Copyright (c) 2023 Raihan Tahir, Zuraidah Abdullah (Author) https://creativecommons.org/licenses/by/4.0
The Role of Omega-3 Long chain polyunsaturated fatty acids (LCPUFAs) in child development and cognitive function
This literature review delves into the significance of long-chain omega-3 polyunsaturated fatty acids (LCPUFAs) in the cognitive development and well-being of children. It highlights their importance during pregnancy for fetal brain development and their ongoing role in children's diets. Scientific evidence suggests that Omega-3 supplementation can enhance cognitive skills, reduce allergies, and potentially improve academic performance. Key findings include the benefits of Omega-3 supplementation during pregnancy, evidence-based dietary recommendations for children, and their potential positive impact on mental health, particularly in reducing the risk of depression. Overall, Omega-3 LCPUFAs are crucial for brain development, and promoting their inclusion in children's diets is both a scientific endeavor and a public health imperative for a healthier future.
• Omega-3 LCPUFAs and Child Development. Omega-3 LCPUFAs and Cognitive Function in Children.
Copyright (c) 2023 Ephraim David Archibong (Author) https://creativecommons.org/licenses/by/4.0
Energy-efficient Data Engineering Practices for Big Data Workloads in Cloud Infrastructure
The exponential growth of data-driven applications in modern enterprises has significantly increased the demand for big data processing within cloud infrastructures. While the scalability and flexibility of cloud services offer clear advantages, the energy consumption associated with running large-scale data engineering workloads presents critical sustainability and operational challenges. This paper explores and evaluates a set of energy-efficient practices tailored for engineering big data pipelines in cloud environments, with the goal of minimizing carbon footprints without sacrificing performance or reliability. We adopt a mixed-method approach, combining literature analysis, cloud benchmarking experiments (on platforms such as AWS and Azure), and comparative evaluations of common tools including Apache Spark, AWS Glue, and Apache NiFi. Energy metrics such as power usage, execution time, and CPU efficiency were collected using cloud-native and third-party monitoring solutions. Several optimization strategies were examined, including serverless compute provisioning, storage tiering, format compression (e.g., Parquet with Snappy), and directed acyclic graph (DAG) orchestration enhancements. Results from our experiments demonstrate that these optimized data engineering techniques can lead to energy savings of up to 37% across different pipeline stages, with minimal impact on execution time. Furthermore, the study highlights how cloud-native services, when configured with sustainability in mind, can align enterprise data operations with global green computing goals. This work contributes practical insights and actionable frameworks for engineers and organizations seeking to enhance the energy efficiency of their big data workloads in cloud infrastructure.
Big Data, Cloud Computing, Energy Efficiency, Data Engineering, Serverless Architecture, ETL Optimization, Green Computing, Cloud Infrastructure.
Copyright (c) 2023 Kishore Arul (Author) https://creativecommons.org/licenses/by/4.0
A Study on Association of Nutritional Status, Inflammatory Markers and Cardiac Function In Maintenance Hemodialysis Patients
ABSTRACT: Poor nutritional status and associated inflammation may pose a risk of cardiovascular disease in CKD patients. This Study has been undertaken to investigate the association of nutritional status, inflammatory markers and cardiac function . A cross sectional study is performed on 120 hemodialysis patients and measured the Skin fold thickness, Midarm circumference, Serum albumin, SGA, Echo, CRP, Ferritin and lipid profile. There is significant negative correlation between CRP and LVEDV (r = -.298, p=.035) and there is significant negative correlation between CRP and MAC (r = -.362, p=.010) and positive co relation between CRP and ferritin, TDL and LDL, HDL and chol/hdl. This study shows the correlation between inflammatory markers measured by CRP and nutritional status and the negative effect both of these have on cardiac structural parameters.
Hemodialysis, Inflammatory, Nutritional status, Cardiac function
Copyright (c) 2023 S. Monisha, Dr. Karthickeyan (Author) https://creativecommons.org/licenses/by/4.0
Selected Public School Teachers’ Awareness and Involvement in School-Based Disaster Risk Reduction Management Measures
This study aims to determine the level of awareness and level of involvement on School-Based Disaster Risk Reduction Management Measures of selected District 10 teachers in the Schools Division of Baybay City-District 10. The study made use of a descriptive correlational survey research design. Data were collected from 85 respondents employing an estimated 79% sample size. The study utilizes a 5-point Likert scale in measuring level of awareness and involvement. Part I of the questionnaire focuses on the socio-demographic profile of the respondents categorized the sex, age, civil status, number of related trainings/seminars attended and number of years in teaching service while Part II and Part III of the research tool focuses on the Teachers’ Level of Awareness and Level of Involvement on School-Based Disaster Risk Reduction Management Measures. The researcher utilizes the questions based from the DepEd in its School Disaster Risk Reduction and Management Manual Booklet 2 in their 2015 edition. Results reveals that the respondents have high level of awareness and high level of involvement on School-Based Disaster Risk Reduction Management Measures. In addition, there was no significant differences in disaster’s level of awareness when grouped according their socio-demographic profile: sex, age, civil status, number of related trainings/seminars and number of years in teaching service and also the disaster’s level of involvement in School-Based Disaster Risk Reduction Management Measures shows no significant when they are grouped according to their socio -demographic profile. Lastly, the results reveal that there is a significant relationship between the teachers’ level of awareness and the teachers’ level of involvement on School-Based Disaster Risk Reduction Management Measures. Moreover, the results found out that installation of appropriate and available fire suspension equipment or resources such as fire extinguishers, water source and relevant indigenous materials, ensuring that learners have identification cards with relevant information and holding regular meetings with parents to exchange views on student’s achievement relating to DRR learning inside and outside the classroom had the lowest weighted mean. It can be concluded that there is a need for an action plan to developed to find solution to the indicators identified to have the lowest weighted mean both in the level of awareness and the level of involvement on School-Based Disaster Risk Reduction Management Measures.
Copyright (c) 2023 Sheila Mae M. Polinar, MA Ed, Maria Victoria A. Gonzaga, Ed. D. (Author) https://creativecommons.org/licenses/by/4.0
Epistemological Beliefs: Implications to the Grade 11 Senior High School Students’ Academic Performance in English
Personal epistemological beliefs engage students in a sophisticated way of knowing and learning that knowledge acquisition is linked to their academic performance in English. This study investigated the students’ epistemological beliefs concerning their academic performance in English. The survey participants were Senior High School Students in one of the public schools in Zamboanga Del Sur for the School Year 2018-2019. Employing the descriptive correlational research design, the study involved 129 students from four sections. Schommer (1990) designed and developed a pilot-tested research instrument for collecting the data under investigation. Descriptive statistics and Pearson r Coefficient were employed. Findings reveal that students’ personal epistemological beliefs, such as the source of knowledge, the certainty of knowledge, the structure of knowledge, speed of knowledge acquisition, and innate ability, were significantly correlated to their academic performance in English. This implies that Personal epistemological beliefs contribute to student’s academic performance in English subjects. The study, therefore, recommended that English teachers give importance to the students’ epistemological beliefs to strengthen their academic performance in English.
Copyright (c) 2023 Dianalyn Cuevas Paubsanon, LPT, MAED (Author) https://creativecommons.org/licenses/by/4.0
Strengthening Women Entrepreneurs in Improving Competitiveness in the ERA of Society 5.0
This study aims to understand the transformation of human resources (HR) in supporting the competitive advantage of women entrepreneurs and improving their innovative performance in Medan City and Deli Serdang Regency, North Sumatra. Women entrepreneurs have great potential in building the regional economy and improving family welfare. However, several obstacles, such as low human resource quality, lack of experience in developing a business, lack of innovation ability, and lack of education, become barriers in optimizing their potential. This study used a descriptive qualitative approach involving 116 women entrepreneurs as respondents. Results from the focus group discussions (FGDs) show that HR transformation through education, training and skills development is key in improving the competitive advantage of women entrepreneurs. They also need to take advantage of digitalization and innovation opportunities in marketing their products. The community of women entrepreneurs can play an important role in supporting the growth and development of their businesses. This study concludes that women entrepreneurs have great potential to improve the family economy and reduce unemployment in North Sumatra. However, they need support in HR transformation, competitive advantage and innovative performance. The government and universities can also play a role in developing the potential of women entrepreneurs through training, mentoring and appropriate policy support.
Copyright (c) 2023 Ritha F Dalimunthe, Hairani Siregar, Dina Sarah Syahreza, Ramadani, M. Bangun Siregar, Rizky Putra (Author) https://creativecommons.org/licenses/by/4.0
Enterprise Risk Management Implementation in Indonesian Life Insurance Company Regarding of Financial Services Authorities Regulation of Unit-Linked Product
The Financial Services Authority (OJK) regulates PAYDI products. Life insurance companies had to audit their product specifications, sales and marketing, investment fund administration, and customer support to comply with the new rule. An enterprise risk management (ERM) strategy identifies, assesses, manages, and mitigates risks. It involves systematic and coordinated risk assessment and risk mitigation strategies. ERM ensures that the company can navigate uncertainties and achieve its goals while protecting its assets, reputation, and stakeholders. The business issue explore the needs of Life Insurance companies to implement ERM in response to the regulatory changes introduced by SEOJK No. 5/2022 regarding PAYDI product. The research aims to identify business risks impacted by regulatory changes and to anticipate and manage these risks effectively. The research methodology is using an extensive literature review and followed by interviews with company professionals. This study employs analytical tools such as PESTEL for external analysis, SWOT for internal analysis, and Scenario Analysis to analyse external factors, internal strengths, weaknesses, opportunities, and threats, and potential risk events. The findings indicate that risk assessment using ERM framework has improved company's risk management practices, aligning with SEOJK No. 5/2022 provisions, enhancing risk governance and ensuring compliance with regulatory requirements. The identified risks have been adequately addressed through the ERM framework, reducing vulnerability and increasing resilience to potential disruptions. The research gives valuable insights into the practical implementation of ERM at firms in the context of regulatory changes and highlights the importance of a comprehensive risk management approach. The results encourage organization to adopt ERM practices to safeguard against emerging business risks and meet regulatory obligations effectively.
Copyright (c) 2023 Banie Zulvanshah Alman (Author) https://creativecommons.org/licenses/by/4.0
Association of Compliance and Quality the Impact of Antiretroviral Administration During the COVID-19 Pandemic in HIV/AIDS Patients: A Hosptial Based Study in Indonesia
Acquired Immune Deficiency Syndrome (AIDS) is a collection of symptoms that arise due to a decrease in the human immune system, caused by the Human Immunodeficiency Virus (HIV). Impact of people living with HIV/AIDS (PLWHA) will experience physical, psychological, social and spiritual problems. Antiretroviral drugs are given to prevent the replication of the HIV virus in CD4 cells, but high adherence is required to achieve suppression of the HIV virus. The aim of this study was to determine the association of compliance and quality with the impact of antiretroviral administration during the COVID-19 pandemic in HIV/AIDS patients. The type of research used is cross-sectional study design. The research sample amounted to 104 PLWHA who carried out control at the polyclinic of Dr. M. Djamil Hospital Padang. The sampling technique used is convenience sampling. The research instrument used was the simplified self-report measure of adherence questionnaire and a study of documentation on the patient's medical record. Data analysis used Chi-square test. P < 0.05 was significant, and the data were analyzed using the SPSS version 21.0 program. Most subjects were aged 18-40 years (61.53%) with male (81.7%). The highest educational background was found in high school seniors (49.0%) and married (43.28%). More than half of the subjects were homosexual (45.2%) and family known HIV status (79.9%). A small number of subjects had a history of COVID-19 infection (13.5%) and more than half of the subjects had COVID-19 vaccination status < 2 times (65.39%). Less than half of the subjects had decreased weight gain (18.03%). In subjects who did not comply with taking ARV drugs (23.1%), viral load was not detected (67.3%) and had an increased CD4 cell count (88.5%). The results of the study found that there was a significant relationship with medication adherence with CD4 count, body weight, and viral load (p<0.05). It is hoped that health workers will always provide education about the importance of being obedient to taking ARV drugs regularly and support from all parties so that opportunistic infections do not occur, CD4 increases and Viral load is not detected in PLWHA.
Copyright (c) 2023 Alfitri, Prof. Neviyarni, Prof. Firman, Syahlinda, Ria Ningsih (Author) https://creativecommons.org/licenses/by/4.0
Psychological Components of Communicative Competence of Medical and Defectological Students
Background: to find out the specifics of the psychological components of the communicative competence of 80 students-medicalists and 80 students-defectologists of Kazan Federal University (Russia). Methods: according to “The Big Five” Five-Factor Personality Questionnaire (McCrae-Costa) - extraversion, attachment, control (self-control), emotionality (emotional stability), playfulness (expressiveness); on emotional intelligence (D.V. Lyusin) - interpersonal understanding, interpersonal management, intrapersonal understanding, intrapersonal management, expression control; on coping strategies in stressful situations (CISS) - cognitive, emotional, behavioral strategies. For statistical processing, Student's T-Test and Pearsen's correlation analysis were used. Results: the features of the psychological components of the communicative competence of students-medicalists and students-defectologists are revealed, significant differences in the psychological components of the communicative competence of students-medicalists and students-defectologists are proved. In almost all studied parameters, the values of defectology students turned out to be higher than those of students-medicalists. But future medics are more prone to activity, dominance, attracting attention and seeking impressions, they are distinguished by their desire to establish warm, trusting relationships built on cooperation, understanding and respect for other people, they are more prone to anxiety, tension, depressive mood background, increased self-criticism and emotional lability than student-defectologists. Students-medicalists are significantly less able to understand and manage the emotions of other people, in contrast to defectology students. However, future medics are much better able to understand and manage their own emotions than future speech therapists. Discussion: The practical significance lies in the opportunity to know the communicative characteristics of young specialists working with children with disabilities in the medical and defectological direction. In perspective, this will help to choose the right competency cards, knowing what characteristics students already have and should have, it is necessary to develop recommendations for teachers who train future medics and defectologists.
Copyright (c) 2023 Vasina V. V., Minullina A. F. (Author) https://creativecommons.org/licenses/by/4.0
Secessionists Agitation, Identity Politics and Social Justice in Nigeria
One of the prominent characteristics of contemporary politics in Nigeria has been a growing recognition of the significance of cultural differences, which often portrayed as “conflict identities” “identity politics or “politics of differences”. The aim of this study is assess the impact of the identity politics and secessionists’ quest for social justice on the current democratic dispensation. Moreover, data for this study were mainly collected from secondary sources such as textbooks, newspapers, magazines, journals and internet materials among others. The data collected were content analysed. This study is situated within the context of the National Self-Determination Theory. This study argues that many of these conflicts in Nigeria’s fourth republic are rooted in age -long dissatisfaction and discontents against successive government policies and actions by the masses across the country. This has remained unabated as there are pockets of resistance and criticism against the structural imbalance of Nigeria’s federalism since independence, controversial revenue sharing formula, ethnicity and ethnic politics, religious intolerance and violence, human rights abuse. All these have resulted to agitation for resource control, complaints of political marginalization, demand for power shift and rotational presidency, etc. Many of these agitations remained unresolved till today.
Copyright (c) 2023 Obodo Nneamaka Ijie, Zekeri Momoh (Author) https://creativecommons.org/licenses/by/4.0