Fair East Publishers: E-Journals
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Conceptual framework for integrating petrophysical field studies to optimize hydrocarbon recovery
Get PDFThis paper presents a conceptual framework for optimizing hydrocarbon recovery by integrating petrophysical field studies with geological and engineering data. The framework is designed to enhance the accuracy of reservoir characterization and improve decision-making processes in exploration and production. Key components of the framework include the systematic collection and integration of petrophysical data, the development of static and dynamic reservoir models, and the application of advanced technologies such as artificial intelligence (AI) and machine learning (ML). By offering a more comprehensive understanding of reservoir properties and behavior, the framework allows for more precise well placement, tailored production strategies, and effective implementation of enhanced recovery techniques. The potential impact of this framework on exploration success rates and production efficiency is significant, promising to reduce operational risks and increase recovery rates. Furthermore, the paper discusses the challenges associated with data integration and model validation, providing potential solutions and suggesting future research directions to refine further and enhance the framework. Integrating emerging technologies is highlighted as critical in advancing the framework's capabilities, ensuring its relevance in an evolving energy landscape.
Keywords: Hydrocarbon Recovery, Petrophysical Studies, Reservoir Characterization, Data Integration, Advanced Technologies
DATA PRIVACY AND SECURITY IN IT: A REVIEW OF TECHNIQUES AND CHALLENGES
Get PDFIn today's interconnected digital world, data privacy and security have emerged as paramount concerns for individuals, organizations, and governments alike. This review provides a comprehensive review of techniques and challenges surrounding data privacy and security in information technology (IT) systems. The review begins by outlining the significance of data privacy and security in IT, emphasizing the proliferation of sensitive information stored and transmitted across various digital platforms. With the exponential growth of data collection, storage, and processing, ensuring the confidentiality, integrity, and availability of data has become imperative. Next, the review delves into the techniques employed to safeguard data privacy and security in IT environments. Encryption techniques, such as symmetric and asymmetric cryptography, play a crucial role in protecting data from unauthorized access and interception. Additionally, access control mechanisms, including authentication and authorization protocols, help manage user privileges and restrict unauthorized entry into sensitive data repositories. Furthermore, anonymization and pseudonymization techniques are utilized to conceal personally identifiable information (PII) and mitigate the risk of identity theft and privacy breaches. Moreover, the review discusses the challenges associated with data privacy and security in IT ecosystems. These challenges include the evolving nature of cyber threats, such as malware, ransomware, and social engineering attacks, which constantly test the resilience of IT defenses. Additionally, compliance with regulatory frameworks, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), presents significant challenges for organizations striving to adhere to stringent data protection standards while maintaining operational efficiency. Furthermore, emerging technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), introduce novel security risks and privacy concerns due to their interconnected nature and reliance on vast amounts of data. In conclusion, the review underscores the critical importance of continuously evaluating and enhancing data privacy and security measures in IT systems to mitigate risks, comply with regulations, and foster trust among stakeholders in an increasingly digitalized world.
Keywords: Data, Privacy, Security, IT, AI
LEVERAGING QUANTUM COMPUTING FOR INCLUSIVE AND RESPONSIBLE AI DEVELOPMENT: A CONCEPTUAL AND REVIEW FRAMEWORK
Get PDFThis paper proposes a novel conceptual framework that integrates the advanced capabilities of quantum computing to address the urgent need for responsible and inclusive Artificial Intelligence (AI) development. It reviews current challenges in AI, such as bias, lack of inclusivity, and the computational limitations faced by classical computing methods in solving complex societal problems. By harnessing quantum computing, this framework aims to overcome these barriers, enabling faster, more efficient AI solutions that are ethically grounded and universally accessible. By adopting a holistic approach that integrates technical innovation with ethical considerations and stakeholder engagement, we believe that quantum computing can serve as a catalyst for the development of AI technologies that are not only more advanced but also more inclusive, responsible, and beneficial for society as a whole. This concept paper serves as a foundational framework for further research, collaboration, and action in the intersection of quantum computing and AI, with the ultimate goal of harnessing the transformative potential of these technologies to address pressing societal challenges and promote human well-being.
Keywords: Quantum Computing, AI, Development, Responsible
Optimizing healthcare resource allocation through data-driven demographic and psychographic analysis
No full textThis paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources and analysis techniques, challenges, future directions, and innovations. Demographic analysis provides insights into population characteristics, healthcare demand, and disparities, informing targeted resource allocation strategies. Psychographic analysis complements demographic data by elucidating patient attitudes, behaviors, and preferences, guiding personalized care delivery and intervention design. A diverse array of data sources, including electronic health records, surveys, and geospatial data, underpins healthcare resource allocation. Advanced analysis techniques such as predictive analytics and machine learning unlock actionable insights from these data sources, enabling proactive resource allocation and optimization. Challenges such as data quality, bias, and ethical considerations underscore the complexity of healthcare resource allocation. However, emerging innovations, including artificial intelligence, precision medicine, and value-based care models, offer transformative potential for optimizing resource allocation and improving patient outcomes. Looking ahead, the integration of innovative technologies and patient-centered care models promises to reshape healthcare resource allocation, emphasizing equity, efficiency, and patient engagement. By navigating challenges thoughtfully and embracing future opportunities, healthcare systems can enhance resource allocation strategies to better meet the evolving needs of patients and communities. This paper explores the multifaceted nature of healthcare resource allocation, examining demographic and psychographic analysis, data sources and analysis techniques, challenges, future directions, and innovations. Demographic analysis provides insights into population characteristics, healthcare demand, and disparities, informing targeted resource allocation strategies. Psychographic analysis complements demographic data by elucidating patient attitudes, behaviors, and preferences, guiding personalized care delivery and intervention design. A diverse array of data sources, including electronic health records, surveys, administrative databases, geospatial data, and social determinants of health data, underpins healthcare resource allocation. Advanced analysis techniques such as predictive analytics, machine learning, spatial analysis, and simulation modeling unlock actionable insights from these data sources, enabling proactive resource allocation and optimization.
Keywords: Healthcare Resource Allocation, Demographic Analysis, Psychographic Analysis, Data Sources, Advanced Analysis Techniques, Future Directions
Comparative analysis of machine learning algorithms for demand forecasting under uncertainty
No full textDoing business in present time is quite a challenging task. With the advent of technology, world is going through a complete transition. We are seeing 4th Industrial Revolution and Industry 5.0 is ready to hit the landscape. In this scenario managing Supply Chain (SC) for optimum performance is becoming a tedious task. Demand forecasting is playing a crucial role over the years for efficient and effective management and planning for competitive advantage. This paper aims to study the performance of various Machine Learning (ML) namely Linear Regression, Decision Tree Regression, Random Forest Regression, Support Vector Machine Regression, XG Boost Regression algorithms for demand forecasting under uncertainty.
Keywords: Forecasting, Machine Learning, Supply Chain, Retail
Building high-performance web applications with NextJS
No full textBuilding high-performance web applications is crucial in today's fast-paced digital landscape, where user experience and speed are paramount. NextJS, a popular React framework, offers a robust solution for developing scalable and efficient web applications. This paper explores the key strategies and techniques for optimizing performance using NextJS, emphasizing its capabilities in static site generation (SSG), server-side rendering (SSR), and incremental static regeneration (ISR). NextJS simplifies the process of code splitting and lazy loading, ensuring that applications load faster and perform better by only delivering the necessary code to users. Image optimization is another critical aspect, with NextJS providing built-in components to manage images efficiently, reducing load times and enhancing visual performance. The framework's data-fetching methods, including getStaticProps, getServerSabsytrideProps, and getInitialProps, are designed to cater to various performance needs, allowing developers to choose the most suitable approach for their specific use cases. Enhancing user experience goes beyond load times. NextJS supports Progressive Web App (PWA) features, such as offline support and caching, which improve the mobile experience and overall application resilience. Accessibility is also a priority, with tools and techniques available to ensure that applications are usable by everyone, including those with disabilities. Advanced performance techniques include optimizing build performance through custom Webpack configurations, analyzing and reducing bundle sizes, and utilizing NextJS plugins and middleware. Integrating with a Content Delivery Network (CDN) further boosts performance by distributing content closer to users geographically. Continuous monitoring and maintenance are essential, with performance monitoring tools, automated CI/CD pipelines, and regular audits ensuring that applications remain performant and up-to-date. By leveraging NextJS's powerful features and following best practices for performance optimization, developers can create high-performance web applications that provide exceptional user experiences and meet the demands of modern web standards.
Keywords: Building, Web Application, NextJS, Information Technology, Tools
PHARMACY PRACTICE STANDARDS AND CHALLENGES IN NIGERIA: A COMPREHENSIVE ANALYSIS
No full textPharmacy practice standards and challenges in Nigeria constitute a critical area of concern due to their profound impact on healthcare delivery and patient outcomes. This comprehensive analysis delves into the multifaceted landscape of pharmacy practice in Nigeria, highlighting prevailing standards and the array of challenges faced by pharmacists in their professional endeavors. Nigeria, like many other developing countries, grapples with a complex healthcare system marked by resource constraints, regulatory ambiguities, and evolving patient needs. Within this context, pharmacists play a pivotal role as frontline healthcare providers, responsible for ensuring safe and effective medication use. However, the absence of robust regulatory frameworks and standardized practices poses significant hurdles to the delivery of quality pharmaceutical care. This analysis examines the existing pharmacy practice standards in Nigeria, emphasizing the role of regulatory bodies such as the Pharmacists Council of Nigeria (PCN) in setting guidelines and enforcing compliance. It also scrutinizes the challenges encountered by pharmacists, including inadequate infrastructure, limited access to essential medicines, counterfeit drugs, and insufficient professional development opportunities. Furthermore, the analysis explores the impact of socio-economic factors, cultural beliefs, and healthcare disparities on pharmacy practice in Nigeria. It underscores the need for collaborative efforts among stakeholders, including government agencies, healthcare institutions, pharmaceutical industry players, and professional associations, to address these challenges comprehensively. In conclusion, this study underscores the importance of enhancing pharmacy practice standards in Nigeria to promote patient safety, optimize medication therapy outcomes, and advance public health objectives. By addressing the identified challenges and fostering a supportive environment for pharmacists, Nigeria can harness the full potential of its pharmacy workforce to meet the healthcare needs of its population effectively.
Keywords: Pharmacy, Standards, Nigeria, Practices, Review
Developing predictive models for HIV Drug resistance: A genomic and AI approach
No full text This paper proposes a novel approach to combating HIV drug resistance through the development of predictive models leveraging genomic data and artificial intelligence (AI). With the increasing prevalence of drug-resistant strains of HIV, there is a critical need for innovative strategies to predict and manage resistance mutations, thereby optimizing treatment outcomes and prolonging the efficacy of antiretroviral therapy (ART). Drawing on advances in genomics and AI, this study outlines a conceptual framework for the development of predictive models that can identify potential drug-resistance mutations in HIV genomes and inform clinical decision-making. The proposed framework integrates genomic data from HIV-infected individuals with AI algorithms capable of learning complex patterns within the data. By analyzing genomic sequences obtained from HIV-positive patients, the models aim to identify genetic variations associated with drug resistance, predict the likelihood of resistance development, and guide the selection of appropriate treatment regimens. This approach holds promise for personalized medicine in HIV care, enabling clinicians to tailor therapy based on an individual's genetic profile and risk of resistance. Key components of the conceptual framework include data preprocessing to extract relevant genomic features, model training using machine learning techniques such as deep learning and ensemble methods, and validation of predictive performance through cross-validation and independent testing. Furthermore, the integration of clinical data, such as treatment history and viral load measurements, enhances the predictive accuracy of the models and provides valuable insights into treatment response dynamics.The development of predictive models for HIV drug resistance represents a paradigm shift in HIV care, offering a proactive approach to treatment management and surveillance. By leveraging genomic and AI technologies, healthcare providers can anticipate and address emerging resistance mutations before they compromise treatment efficacy. Ultimately, the implementation of predictive models holds the potential to improve patient outcomes, reduce the transmission of drug-resistant HIV strains, and advance the global fight against HIV/AIDS.
Keywords: Developing, Predictive Models, HIV Drug Resistance, Genomic, AI Approach
Nutritional breakthroughs: Dietary interventions to prevent liver and kidney diseases in the US and Africa
No full textNutritional breakthroughs have the potential to revolutionize the prevention and management of liver and kidney diseases in both the United States and Africa. Liver and kidney diseases are significant public health concerns globally, with risk factors including poor diet, obesity, diabetes, and hypertension. Dietary interventions offer a promising approach to reducing the burden of these diseases, as diet plays a crucial role in their development and progression. In recent years, research has highlighted the importance of specific nutrients and dietary patterns in promoting liver and kidney health. For example, studies have shown that a diet rich in fruits, vegetables, whole grains, and lean proteins can help prevent and manage liver and kidney diseases. These foods are high in antioxidants, vitamins, and minerals, which play key roles in reducing inflammation, oxidative stress, and the risk of developing fatty liver disease, cirrhosis, and chronic kidney disease. Furthermore, emerging research suggests that certain dietary components, such as omega-3 fatty acids, polyphenols, and prebiotics, may have protective effects on the liver and kidneys. These nutrients can help improve liver and kidney function, reduce the risk of fibrosis and kidney stones, and enhance overall organ health. In Africa, where the burden of liver and kidney diseases is rising due to urbanization and changes in dietary habits, nutritional interventions offer a cost-effective and sustainable approach to preventing these diseases. By promoting traditional African diets, which are rich in plant-based foods, fiber, and healthy fats, public health efforts can help reduce the incidence of liver and kidney diseases in the region. Overall, nutritional breakthroughs in dietary interventions offer promising strategies for preventing liver and kidney diseases in both the United States and Africa. By promoting healthy eating habits and incorporating key nutrients into daily diets, individuals can take proactive steps to protect their liver and kidney health.
Keywords: Nutritional Breakthroughs; Dietary Interventions; Prevent; Liver Diseases; Kidney Diseases
Evaluating safety culture and its HR implications in maritime operations: Current state and future directions
Get PDFThis study delves into the pivotal role of safety culture in maritime operations and its implications for human resources (HR) practices. Through a systematic literature review and content analysis, the research aims to elucidate the current state of safety culture within the maritime industry, examine the HR strategies that support or hinder the development of a robust safety culture, and identify future directions for enhancing maritime safety. Drawing from a range of academic and industry-related databases, the study employs a rigorous methodological framework, encompassing specific criteria for the inclusion and exclusion of relevant literature, to synthesize findings from peer-reviewed articles and grey literature. Key findings reveal that a strong safety culture is intrinsically linked to effective HR practices, including strategic recruitment, continuous training, leadership development, and open communication. The future landscape of maritime safety presents both opportunities and challenges, notably the integration of digital technologies and the need for international collaboration on safety standards. Strategic recommendations emphasize the importance of leadership commitment, the integration of safety into HR practices, the judicious use of technology, and a continuous improvement ethos in safety practices. The study concludes that advancing safety culture in maritime operations requires a multifaceted approach, underpinned by robust HR strategies and a commitment to continuous learning and improvement. It also identifies areas for further research, including the impact of technological advancements on safety culture, the role of cross-cultural competence, and the correlation between seafarer well-being and safety outcomes.
Keywords: Maritime Safety Culture, Human Resources Practices, Leadership in Safety Technological Advancemen