Fair East Publishers: E-Journals
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Cybersecurity considerations in the implementation of innovative waste management technologies: "A critical review"
No full textThis study systematically reviews the intersection of cybersecurity and waste management technologies, aiming to identify current practices, challenges, and future directions for enhancing cybersecurity within this essential sector. Employing a systematic literature review methodology, the research analyzed peer-reviewed articles, conference proceedings, and industry reports published between 2014 to 2024. The methodology involved a structured search strategy, rigorous inclusion and exclusion criteria, and thematic synthesis of findings. Key insights reveal the growing importance of cybersecurity in waste management, driven by the sector's increasing reliance on digital technologies. Significant challenges identified include data breaches, system vulnerabilities, and the absence of standardized cybersecurity practices. The future of cybersecure waste management is characterized by both challenges, such as the rapid pace of technological advancements and opportunities for innovation, including the development of advanced cybersecurity frameworks and the integration of AI for threat detection. Strategic recommendations for industry leaders and policymakers include developing standardized cybersecurity frameworks, investing in advanced technologies, fostering collaboration, enhancing training and awareness, and strengthening regulatory compliance. The study underscores the necessity of robust cybersecurity measures to protect sensitive data, ensure operational continuity, and support environmental sustainability in waste management. This research contributes valuable insights into the critical role of cybersecurity in waste management, offering a foundation for future research and practice enhancements in creating secure, sustainable, and efficient waste management systems.
Keywords: Cybersecurity, Waste Management, Digital Technologies, Systematic Literature Review
Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities
No full textFraud prevention is a critical challenge for financial institutions, businesses, and governments worldwide. The rise of digital transactions and complex financial systems has led to increasingly sophisticated fraudulent activities. Artificial Intelligence (AI) offers innovative solutions to this growing problem, leveraging its ability to analyze vast amounts of data, identify patterns, and predict fraudulent behavior with high accuracy. This abstract explores the various AI techniques and their applications in fraud prevention, highlighting their transformative impact on the security landscape. AI techniques such as machine learning (ML), deep learning, and natural language processing (NLP) have revolutionized fraud detection and prevention. Machine learning algorithms, particularly supervised learning models like decision trees and neural networks, are used extensively to identify fraudulent transactions by learning from historical data. These models can distinguish between legitimate and fraudulent transactions by recognizing subtle patterns that might be missed by traditional rule-based systems. Unsupervised learning methods, including clustering and anomaly detection, are employed to detect novel fraud schemes by identifying outliers in transaction data that do not conform to expected behavior. Deep learning, a subset of machine learning, has shown exceptional promise in fraud detection due to its ability to process and analyze unstructured data such as images, text, and voice. Techniques like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are utilized in applications ranging from credit card fraud detection to anti-money laundering (AML) efforts. Natural language processing aids in detecting fraudulent activities by analyzing textual data, such as emails and transaction descriptions, to identify suspicious language and patterns. AI's application in fraud prevention extends beyond detection to proactive measures. Predictive analytics powered by AI can forecast potential fraud hotspots, allowing organizations to implement preventative strategies. Real-time monitoring systems, enhanced by AI, provide instantaneous alerts for suspicious activities, enabling swift action to mitigate fraud. The integration of AI in fraud prevention presents challenges, including data privacy concerns, the need for high-quality datasets, and the interpretability of AI models. However, the benefits far outweigh these hurdles, as AI continues to enhance the accuracy, efficiency, and scalability of fraud prevention efforts. As AI technologies evolve, their role in safeguarding financial systems and reducing fraud losses will only grow, underscoring the importance of continued innovation and research in this field.
Keywords: AI, Fraud Prevention, Technique, Application, Exploring
Detecting Alzheimer’s disease and brain tumors using machine learning and convolutional neural networks (CNNs)
No full textThis white paper presents a systematic study and proposes a novel solution for detecting Alzheimer's disease and brain tumors using machine learning (ML) and Convolutional Neural Networks (CNNs). Given the increasing prevalence of these neurological disorders and the critical need for early and accurate diagnosis, the proposed approach leverages advanced CNN architectures with multi-modal data fusion to enhance diagnostic precision. The study systematically reviews recent literature and integrates state-of-the-art techniques to propose a comprehensive framework that can be implemented in clinical settings.
Keywords: Elaborated Proposed Solution, Detecting Alzheimer's Disease and Brain Tumors Using Machine Learning and Convolutional Neural Networks (CNNs
INNOVATIONS IN HOSPITAL MANAGEMENT: A REVIEW
No full textThis review paper explores the transformative landscape of innovations in hospital management, emphasizing their pivotal role in shaping healthcare's current and future state. The significance of innovations, spanning technology integration, human resource strategies, and patient care advancements, is examined. Challenges such as resistance to change and financial constraints are addressed, with proposed solutions highlighting the importance of change management and strategic financial planning. The paper identifies future research and innovation areas, including artificial intelligence integration and blockchain technology. Emerging trends, such as the Internet of Things and telehealth expansion, underscore the dynamic trajectory of hospital management. The review concludes by advocating for a collaborative and innovative approach, positioning hospitals to navigate challenges and usher in a future characterized by enhanced patient care, operational efficiency, and technological advancement.
Keywords: Hospital Management, Innovations, Healthcare, Technology Integration, Patient-Centric Car
The role of cybersecurity in facilitating sustainable healthcare solutions: Overcoming challenges to protect sensitive data
No full textThis study systematically reviews the intersection of cybersecurity and healthcare, aiming to identify the evolving threats, technological advancements, and the efficacy of current cybersecurity measures. Employing a systematic literature review and content analysis methodology, the research scrutinizes peer-reviewed articles, conference proceedings, and white papers from 2014 to 2023, focusing on the integration of advanced cybersecurity technologies, the impact of standards and regulations, and stakeholder implications in healthcare cybersecurity. Key findings reveal a dynamic cybersecurity landscape characterized by sophisticated threats and the critical role of emerging technologies such as artificial intelligence, blockchain, and machine learning in enhancing security measures. The study underscores the importance of standards and regulations in establishing a unified cybersecurity framework and highlights the multifaceted implications for stakeholders, including healthcare providers, patients, policymakers, and technology developers. The research concludes that while significant advancements have been made in healthcare cybersecurity, challenges remain in integrating emerging technologies, educating healthcare staff, and fostering collaboration among stakeholders. Strategic recommendations for healthcare leaders and policymakers include prioritizing cybersecurity as a core component of healthcare delivery, investing in cybersecurity education, and advocating for robust standards and regulations. This study contributes to the understanding of cybersecurity in healthcare, providing a foundation for future research and strategic planning to safeguard sensitive health information and ensure the resilience of healthcare services against cyber threats.
Keywords: Healthcare Cybersecurity, Emerging Technologies, Standards and Regulations, Stakeholder Implications
MANAGING NEGATIVE ALCOHOL-RELATED CONCERNS: A QUANTITATIVE RESEARCH CONCERNING CONSUMERS FROM BOTH ABRAHAMIC AND ENDOGENOUS RELIGIOUS FAITH
No full textThe relationship between alcohol consumption and conflicts is explored in several contexts. Little research has been conducted on the subject in Wa. This research explores the relationship between alcohol consumption and conflicts where alcohol consumption is on the increase. This exploratory research is focused on the post-positivist posture. A quantitative research design is used to collect data from both primary and secondary sources for analysis using sphinx IQ software. Some self-administered questionnaires are used for data collection. Results show that alcohol consumption is strongly associated to household conflicts. In addition, the results also show that alcohol consumption is associated to street conflicts. It is found that alcohol consumption is associated to religious conflicts. The findings imply that there should be a rigorous segmentation and hyperpersonalisation of the alcohol beverage market in order to meet the local consumers’core needs and real expectations. To the best of authors knowledge, this is an exploratory research in the Ghanaian Upper West context that shows the relationship between excessive alcohol consumption and conflicts with some particular psychosocial and cultural factors.
Keywords: Alcohol Consumption, Household Conflicts, Street Conflicts, Religious Conflicts, Wa
THE ROLE OF HR IN PROMOTING MENTAL HEALTH AND WELL-BEING IN HEALTHCARE SETTINGS: A COMPREHENSIVE REVIEW
No full textThis review delves into the critical role that Human Resources (HR) plays in fostering mental health and well-being within healthcare settings. The healthcare industry, known for its demanding and high-stakes nature, places substantial strain on the mental health of its workforce. Recognizing the impact of mental well-being on both individual performance and patient outcomes, this comprehensive review explores the multifaceted responsibilities of HR in addressing mental health challenges. The paper examines HR strategies that aim to create a supportive and healthy work environment for healthcare professionals. These strategies include the implementation of employee assistance programs, stress management initiatives, and mental health awareness campaigns. The review highlights the importance of destigmatizing mental health issues within the healthcare workforce, emphasizing HR's role in fostering a culture that encourages open communication and seeks to remove barriers to seeking help. Additionally, the paper explores HR's involvement in talent acquisition and retention, recognizing the link between job satisfaction, mental well-being, and overall staff retention in healthcare settings. It discusses recruitment practices that prioritize the holistic well-being of employees and the role of HR in developing and implementing policies that promote work-life balance. Furthermore, the review explores the incorporation of mental health training and education into HR programs, ensuring that healthcare professionals possess the necessary tools to manage stress and navigate the challenges inherent in their roles. The review concludes by underlining the need for a collaborative approach between HR professionals, healthcare leadership, and employees to create a workplace culture that prioritizes mental health, ultimately benefiting both the well-being of healthcare professionals and the quality of patient care.
Keywords: HR, Mental Health, Healthcare, Well-being, Review, Management
A COMPREHENSIVE REVIEW OF ETHICAL PRACTICES IN BANKING AND FINANCE
No full text
This paper presents a thorough examination of ethical practices within the dynamic landscape of banking and finance. As the financial industry plays a pivotal role in global economic systems, the need for stringent ethical standards becomes increasingly apparent. This comprehensive review encompasses various dimensions of ethical considerations, ranging from corporate governance and risk management to customer relations and social responsibility. The banking and finance industry occupies a vital role in society, wielding immense power over financial stability, development, and individual well-being. However, its ethical practices have consistently faced scrutiny and criticism. This review aims to provide a comprehensive understanding of the current landscape of ethical practices in banking and finance, analyzing both shortcomings and advancements. The study delves into the historical evolution of ethical norms in banking and finance, tracing the development of codes of conduct and regulatory frameworks that shape the industry's ethical landscape. It analyzes the impact of technological advancements on ethical considerations, exploring the challenges and opportunities presented by digitalization, fintech, and blockchain technologies. Furthermore, the review evaluates the role of leadership and organizational culture in fostering ethical behavior within financial institutions. It examines case studies of ethical lapses and their repercussions, shedding light on the importance of accountability and transparency in maintaining public trust. The paper also discusses the ethical implications of financial decision-making, considering issues such as fair lending practices, responsible investing, and the ethical dimensions of risk assessment. It scrutinizes the role of financial education in promoting ethical awareness among stakeholders and addresses the ethical considerations associated with emerging financial products and services. This comprehensive review synthesizes key insights into the ethical practices within banking and finance, offering a holistic perspective on the challenges and opportunities faced by the industry. By understanding and addressing ethical concerns, financial institutions can contribute to the development of a sustainable and responsible financial ecosystem that benefits both the industry and society at large.
Keywords: Ethical, Banking, Cybersecurity, Big Data, Banking Regulation
ENERGY EFFICIENCY IN INDUSTRIAL SECTORS: A REVIEW OF TECHNOLOGIES AND POLICY MEASURES
No full textThe industrial sector plays a pivotal role in global economic development, but its energy consumption often leads to environmental challenges. This paper provides a comprehensive review of technologies and policy measures aimed at enhancing energy efficiency in industrial sectors. Focusing on the imperative of sustainable practices, the analysis encompasses a wide array of industries, considering diverse technological solutions and policy frameworks. Technological advancements have enabled innovative approaches to energy efficiency, ranging from process optimization and waste heat recovery to the implementation of smart manufacturing and Industry 4.0 technologies. This review explores the effectiveness of these strategies in reducing energy consumption while maintaining or even improving productivity. It delves into the integration of artificial intelligence, machine learning, and automation to enhance energy management systems, ensuring a holistic approach to efficiency improvements. In parallel, the paper scrutinizes the role of policy measures in promoting energy efficiency across industries. It evaluates the efficacy of government incentives, regulatory frameworks, and international collaborations in driving the adoption of sustainable practices. The analysis considers case studies from different regions, highlighting successful policies that have led to significant energy savings and emissions reduction in the industrial sector. Furthermore, the paper discusses the challenges and barriers hindering the widespread implementation of energy-efficient technologies. It emphasizes the need for a supportive policy environment, financial incentives, and collaborative efforts between governments, industries, and research institutions to overcome these challenges. This review provides a nuanced understanding of the current landscape of energy efficiency in industrial sectors. By synthesizing technological advancements and policy measures, it offers insights into the multifaceted approach required to achieve sustainable energy practices in the industrial domain. The findings presented in this paper contribute to the ongoing discourse on mitigating the environmental impact of industrial activities while fostering economic growth
Keywords: Energy, Policy measures, Sustainable Energy, Environmental Impact, Industrial Activities, Review
A REVIEW OF PREDICTIVE ANALYTICS IN THE EXPLORATION AND MANAGEMENT OF U.S. GEOLOGICAL RESOURCES
No full textIn an era where technological advancements are reshaping the landscape of resource management, this paper delves into the transformative role of predictive analytics in the exploration and management of geological resources in the United States. The study's backdrop is set against the burgeoning need for innovative approaches in geological exploration, driven by environmental, economic, and technological imperatives. The primary aim of this comprehensive review is to dissect the multifaceted contributions of predictive analytics in enhancing the efficiency, accuracy and sustainability of geological resource exploration. The scope of the paper encompasses a detailed examination of the integration of predictive analytics in geological exploration, focusing on its economic benefits, environmental sustainability implications and adherence to legal and ethical standards. Methodologically, the study employs a qualitative analysis of existing literature and case studies, juxtaposing traditional exploration methods with modern predictive analytic techniques. It further investigates the economic impact of predictive analytics implementation, the role of predictive models in identifying new geological resources and the strategic implications for sustainable resource management. The findings reveal that predictive analytics significantly enhances risk assessment, resource identification, and environmental management in geological exploration. The economic analysis underscores the cost-effectiveness and efficiency of predictive analytics, while strategic implications highlight the need for an integrated approach to sustainable resource management. Conclusively, the study recommends policy reforms and regulatory frameworks that align with technological advancements to ensure sustainable and prosperous geological resource management. It advocates for embracing advanced tools to navigate the complexities of resource exploration and management, ensuring a balance between economic viability and environmental sustainability.
Keywords: Predictive Analytics, Geological Exploration, Resource Management, Sustainability, Technological Advancements, Policy Reforms