Fair East Publishers: E-Journals
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Navigating solid waste management in the United States: A comparative analysis of federal and state regulatory frameworks and practices
Get PDFSolid waste management in the United States is governed by a complex interplay of federal standards set by the Environmental Protection Agency (EPA) and diverse state-level programs tailored to regional needs. This research article examines the federal regulatory foundation established by the Resource Conservation and Recovery Act (RCRA) and provides a detailed comparison of solid waste management systems in five representative states: California, Texas, Florida, New York, and Pennsylvania. While the EPA sets national minimum standards for landfill operations, hazardous waste management, and open dumping prohibitions, states vary widely in their definitions of waste, legislative mandates, program structure, and enforcement rigor. California and New York exemplify ambitious, centralized approaches with aggressive recycling and organics diversion goals exceeding federal requirements, integrating climate and environmental justice considerations. In contrast, Texas employs a decentralized, less regulated model focused on landfill disposal and local control, with budding recycling efforts. Florida and Pennsylvania adopt hybrid frameworks emphasizing regulatory compliance, environmental remediation, and specialized statutory programs. This comparative analysis reveals significant interstate variation shaped by environmental priorities, governance philosophies, and resource availability, emphasizing the critical role of coordination between federal and state agencies in advancing sustainable waste management nationwide.
Keywords: Solid Waste Management, Environmental Protection Agency (EPA), Resource Conservation And Recovery Act (RCRA), Municipal Solid Waste (MSW), Hazardous Waste, Recycling Programs, Circular Economy, State-Level Waste Policies, Waste Regulations
Impact of socioeconomic factors on health outcomes
No full textThis review summarizes how socioeconomic elements affect health outcomes while showing their critical nature for understanding inequalities in population health. The review investigates socioeconomic factors such as financial circumstances, education, working situations and levels of support to determine their effects on health choices and healthcare resource availability. Lower social status is linked to greater health problems, and it increases both mortality numbers and disease occurrence. The research review integrates published documents to show how various socioeconomic determinants link with health outcomes while confirming the need to resolve economic disparities to boost public health outcomes. Public health policy receives analysis, leading to suggested targeted intervention approaches for vulnerable groups. Researchers agree future work should focus on several investigative fields such as extended period analyses, pop-up intervention application reviews, and socioeconomic relationship evaluations with health outcomes. A deep understanding of societal influences enables policymakers to create better strategies for fostering health equity alongside better community health outcomes.
Keywords: Socioeconomic Factors, Health Outcomes, Health Disparities, Public Health Policy, Social Determinants Of Healt
The demographic and labor situation of Ninh Thuan Province
No full textThis paper provides an analysis of the demographic and labor force trends in Ninh Thu?n Province from 2019 to 2023. Over this period, the province's population has grown steadily, reaching 601,217 people in 2023, with a balanced male-to-female ratio. The labor force, predominantly concentrated in rural areas, has seen slight fluctuations, influenced by the COVID-19 pandemic and economic factors. The workforce remains largely dependent on sectors like agriculture and construction, with a noticeable income disparity between skilled and manual labor jobs. The province’s labor force faces challenges in education and training, which impacts its overall economic growth. The paper also discusses the socioeconomic structure, focusing on the labor market, income levels, and the need for policy reforms to address these challenges.
Keywords: Population, Labor, Labor Force Distribution, Average Income
Building and maintaining community relationships: the impact on healthcare service delivery
No full textCommunity relationships play a crucial role in shaping the effectiveness and equity of healthcare delivery systems. This paper explores the significance of these relationships, examining their impact on healthcare service delivery, patient experiences, and overall health outcomes. Effective community relationships facilitate improved access to healthcare services by fostering trust, addressing cultural and social barriers, and enhancing communication between healthcare providers and community members. Patient experiences are enriched through personalized care, active engagement, and a sense of empowerment in decision-making processes. Moreover, strong community relationships contribute to measurable improvements in health outcomes, including better disease management and reduced healthcare disparities. Future research should focus on strategies for sustaining and scaling effective community engagement initiatives, particularly in diverse and underserved populations. This includes exploring the long-term impacts of community relationships on health outcomes and developing culturally responsive healthcare practices. Policymakers and healthcare leaders are encouraged to prioritize investments in community relationship-building, promoting policies that support inclusivity, cultural competence, and equitable access to healthcare services.
Keywords: Community Relationships, Healthcare Delivery, Patient Experience, Health Outcomes, Health Equity
Health informatics in developing countries: Challenges and opportunities
No full textHealth informatics is increasingly recognized as a vital tool for improving healthcare systems, particularly in developing countries where access to quality healthcare is often limited. This review explores the challenges and opportunities associated with implementing health informatics in such settings. Health informatics can enhance healthcare delivery by improving patient care, streamlining administrative processes, and supporting public health initiatives. However, developing countries face significant barriers to its effective implementation. These challenges include inadequate technological infrastructure, financial constraints, data privacy and security concerns, and a shortage of skilled healthcare professionals. Furthermore, cultural and social resistance to technological adoption, alongside limited digital literacy, pose additional hurdles. Despite these challenges, there are promising opportunities for the advancement of health informatics in developing countries. Mobile health (mHealth) solutions, telemedicine, and artificial intelligence (AI) offer innovative ways to overcome geographical and resource limitations. Widespread mobile phone use presents an avenue for delivering healthcare services and education, while AI and machine learning can optimize diagnostics and resource allocation. Public-private partnerships, international collaborations, and global health initiatives are also driving forces in the adoption of health informatics, offering financial and technical support. This review also highlights successful case studies from Rwanda, Kenya, and India, which demonstrate how health informatics initiatives can significantly improve healthcare outcomes. By addressing key challenges such as building technological infrastructure, enhancing regulatory frameworks, and investing in workforce development—developing countries can leverage the transformative power of health informatics to improve healthcare access and quality. As technology continues to evolve, health informatics holds great potential for strengthening healthcare systems in resource-limited environments.
Keywords: Modern Healthcare, Electronic Health Records (HER), Health Informatics, Review
Application of Agile Methodologies in Managing Smart Affordable Housing Infrastructure Projects
No full textThis paper explores the application of Agile methodologies in managing smart affordable housing infrastructure projects, emphasizing their potential to improve project efficiency, cost control, and adaptability. As the demand for affordable housing continues to rise, traditional project management approaches often struggle with delivering projects on time and within budget, particularly when incorporating smart technologies. Agile methodologies, characterized by flexibility, iterative development, and continuous improvement, offer a promising solution for addressing these challenges. The study reviews existing literature on the advantages of Agile in construction and housing, particularly focusing on its application to affordable housing and smart building technologies. Through case studies, the paper highlights successful implementations where Agile practices have contributed to reduced costs, timely delivery, and the seamless integration of technologies such as IoT and AI. The research identifies key strategies for overcoming barriers to Agile adoption, including the need for training, organizational change, and fostering cross-functional collaboration. The paper concludes with strategic recommendations for stakeholders and offers insights into future research areas, particularly regarding the integration of AI and IoT with Agile practices to optimize large-scale housing projects and improve their long-term sustainability. By leveraging Agile methodologies, stakeholders can create affordable housing that is not only cost-effective but also sustainable and technologically advanced.
Keywords: Agile Methodologies, Affordable Housing, Smart Housing Infrastructure, Project Management, Cost Efficiency, Sustainability
Terrorism and global security: Cyber threats, governance, and counterterrorism strategies
No full textThis study examines the complex motivations behind terrorism and evaluates the effectiveness of international counterterrorism efforts using data from the Global Terrorism Database (GTD), World Values Survey (WVS), and World Bank Governance Indicators. Logistic regression and cluster analysis reveal that no socio-political factors—such as trust in government, religious values, or political ideology—significantly predict religiously motivated terrorism, though patterns emerge in political ideology and governance. Interrupted Time Series (ITS) and Difference-in-Differences (DiD) analyses indicate a post-9/11 surge in international counterterrorism collaborations, while domestic U.S. peace stability shows limited change. Panel data analysis highlights governance quality and economic stability as key factors in reducing terrorism, with economic stability emerging as the strongest predictor (p < 0.001). Based on these findings, the study recommends prioritizing governance reforms, integrating economic development into counterterrorism strategies, expanding efforts beyond military interventions, and strengthening intelligence-sharing mechanisms to enhance global counterterrorism effectiveness.
Keywords: Cyber, Terrorism, Counterterrorism, Governance, Economic Stability, Global Peace Index, Data Privacy
A conceptual model for leveraging community engagement and sponsorship to drive technological product adoption in the telecommunications sector
No full textThe rapid pace of technological innovation, particularly within the telecommunications sector, demands effective strategies for driving product adoption among consumers. This paper explores the conceptual model of leveraging community engagement and sponsorship to accelerate the adoption of new technological products. It examines how these strategies, when strategically integrated, can foster trust, create consumer excitement, and ultimately lead to higher rates of product adoption. The paper highlights key elements of the proposed model, including the importance of building community trust, establishing meaningful partnerships, and utilizing sponsorship channels to amplify brand reach. It also considers practical examples and real-world case studies within the telecommunications industry, demonstrating the model's applicability and versatility. By addressing both internal and external challenges to implementing these strategies, the paper provides a holistic view of the opportunities and obstacles that telecommunications companies may face in adopting such an approach. The paper concludes with actionable recommendations for industry practitioners and outlines future research areas, focusing on the long-term effects of community engagement on brand loyalty and the evolving role of digital sponsorships. This work aims to contribute to the existing body of knowledge by offering a comprehensive framework for integrating community engagement and sponsorship in a rapidly changing technological landscapes.
Keywords: Community Engagement, Sponsorship, Telecommunications, Product Adoption, Brand Loyalty, Technological Innovation
Mentoring for High School Teacher Professional Development: Enhancing Social Studies Instruction
No full textThis paper explores the critical role of mentoring in enhancing professional development for high school social studies teachers. It highlights the significance of effective mentoring relationships in improving pedagogical skills, student engagement, and learning outcomes. Educators receive personalized support through structured and tailored mentoring approaches that fosters collaboration, builds professional relationships, and integrates innovative instructional strategies. The paper further examines the broader implications of mentoring on school culture and teacher retention, emphasizing the need for ongoing professional development opportunities. Recommendations for implementing effective mentoring programs are provided, focusing on structured frameworks, collaborative learning environments, and regular evaluations to ensure continual growth and adaptation. Ultimately, the study advocates for investing in mentoring as a key strategy for improving social studies education and teacher efficacy.
Keywords: Mentoring, Professional Development, Social Studies, Teacher Retention, Student Engagement, Pedagogical Skills
Ethical Challenges in AI-Powered Supply Chains: A U.S.-Nigeria Policy Perspective
No full textThe incorporation of artificial intelligence (AI) into global supply chains is revolutionizing industries by increasing productivity, cutting costs, and improving decision-making. However, the adoption of AI in supply chains also presents significant ethical challenges, especially when comparing advanced economies like the United States and developing economies like Nigeria. This study examines the ethical issues that arise from AI-powered supply chains through a comparative policy lens, focusing on the U.S. and Nigeria. In the U.S., ethical concerns center on privacy, data security, algorithmic transparency, and the possibility of job displacement, while in Nigeria, additional challenges include infrastructure constraints, a lack of regulatory frameworks, and a digital divide that exacerbates the ethical implications of AI adoption in supply chains. This looks at how the policies of the two nations handle these problems, with the US highlighting the necessity of precise laws, moral standards, and corporate accountability in the application of AI. Nigeria's new AI laws, on the other hand, emphasize data governance, capacity building, and the development of an inclusive digital environment. The significance of customized policy solutions that take into account the distinct economic, social, and technical circumstances of each country is highlighted by examining these divergent approaches. The report also emphasizes the necessity of international collaboration in creating uniform ethical guidelines for artificial intelligence in global supply chains. The findings suggest that while AI holds the potential to revolutionize supply chains, it also necessitates careful policy planning and ethical oversight to ensure that its benefits are realized equitably and sustainably across different regions.
Keywords: Ethical, Challenges, AI-powered, Supply chains, U.S, Nigeria, Policy perspective