This study examines the relationship between green accounting practices and environmental sustainability of quoted oil and gas companies in Nigeria from 2018 to 2024. Using a quantitative research design with secondary data obtained from company annual reports, sustainability disclosures, and financial statements, the study analyzed environmental costs, corporate social responsibility (CSR) expenditure, and Environmental Disclosure Index (EDI) to assess their impact on profitability. Descriptive statistics, correlation, and regression analyses were applied to test the hypotheses. Findings indicate that companies with higher environmental investments, such as TotalEnergies and Seplat, achieved higher EDI scores and improved profit margins. Correlation results show strong positive relationships between environmental costs and profitability (r = 0.79), CSR expenditure and sustainability disclosure (r = 0.85), and EDI and profit after tax (r = 0.82). Regression analysis further confirms that green accounting practices significantly predict profitability, suggesting that environmental stewardship aligns with corporate financial objectives. The study concludes that green accounting serves as both a compliance and strategic tool, enhancing corporate sustainability, stakeholder trust, and long-term financial performance. These findings offer practical insights for policymakers, managers, and investors seeking to integrate sustainable practices into business operations.

Despite the enactment of laws and other interventions to eliminate or prohibit the practice, Female Genital Mutilation (FGM) still constitutes a significant human rights violation in Nigeria among the Edo people. In this study, the cultural and historical context, including health implications of FGM, was discussed, as well as the effectiveness of interventions and plans for its eradication. Using qualitative interpretation approaches, this study threads empirical, theoretical, and community perspectives on the activities and impacts of FGM. Findings illustrate the nexus of tradition, gender ideology, and resistance to change and suggest the need for multilevel strategies.

This study is positioned at the interface between asylum seekers' experiences in Ireland and the National Action Plan Against Racism (NAPAR), examining the influence of national and EU policy on the lived experiences of asylum seekers. By analysing the historical development of asylum policies, the intentions and practice of NAPAR, as well as the experiences of asylum seekers, the article calls attention to the necessity of inclusive evidence-based racism prevention and integration promotion strategies. Trial Deck recommends public policy analysis, case studies, and existing literature in offering potential strategies for the implementation of a more equitable society.

This study examines the New Rent Proposal for asylum seekers by the Irish government in response to long-standing failures in the Irish asylum accommodation system. Hundreds of asylum seekers in Ireland live in cramped and squalid conditions, which frustrate integration and drive down mental-health standards, campaigners claim. The new scheme is an attempt to address these issues by offering refugees looking for work the chance to work in order to pay for their accommodation, in turn promoting self-reliance and reducing the reliance on the state. The importance of stable housing is referred to in the quality of life, school, work and social integration of the residents. The study takes the win-win state-asylum seeker situation and how a higher quality of life, integration, and beneficial impact on the economy and society that arise from it into account. Based on an examination of the design of the proposed policy, anticipated impacts and public response, the paper concludes that if Ireland is to become a more ethical and integrated society, one that prioritises the welfare of asylum-seekers, it must adopt a more humane and inclusive approach to this issue.

This analytical review examines the concept of attentive exchange as articulated by Thich Nhat Hanh in his seminal work The Art of Communicating. Drawing directly from the text, the paper explores how mindful presence, deep listening, and conscious speech converge to foster genuine understanding, reduce interpersonal conflict, and promote emotional healing. Through critical analysis of key chapters, the study highlights three core dimensions of attentiveness: inner awareness, empathetic listening, and intentional speech. Inner awareness involves cultivating one’s own mindfulness to remain rooted in the present moment. Empathetic listening emphasizes open-hearted receptivity to another’s experience without judgment, while intentional speech underscores the power of words chosen with care and compassion. By synthesizing theoretical insights and practical exercises presented in the book, the review illustrates how these dimensions interrelate to transform everyday conversations into opportunities for connection and peace. The findings underscore the relevance of mindfulness-based communication in contemporary contexts characterized by distraction and superficial exchanges. Ultimately, this paper demonstrates that the attentive exchange model offered by Thich Nhat Hanh provides a robust framework for enhancing relational well-being and social harmony through the simple yet profound act of being fully present in dialogue.

Entrepreneurship education in non-formal institutions such as Learning Activity Centers (SKB) plays a crucial role in equipping young people with economic independence but is often constrained by conventional learning methods that are ineffective in stimulating higher-level cognitive skills. One of the fundamental skills for an entrepreneur is divergent thinking, which is the ability to generate a variety of creative ideas and innovative solutions. This study aims to (1) develop a valid and practical multimodal E-Module for Entrepreneurship, and (2) test the effectiveness of the e-module in improving the divergent thinking skills of students at SKB Ungaran. This study used the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research subjects were students of the entrepreneurship program at SKB Ungaran. Data collection instruments included material and media expert validation sheets, student response questionnaires, and divergent thinking skills tests (TTCT adaptation) in the form of pre-tests and post-tests. Feasibility data were analyzed descriptively and quantitatively, while effectiveness data were analyzed using paired t-tests and N-Gain Scores. The results showed that: (1) The developed e-module had a very high level of feasibility, with a material expert validation score of 92% and a media expert validation score of 89%, and a practicality score of 91% from student responses. (2) There was a statistically significant increase (p<0.05) in students' divergent thinking skills after using the e-module, with an N-Gain score of 0.58, which falls into the “Moderate” category. It is concluded that the developed multimodal Entrepreneurship E-Module is a feasible and effective learning medium for improving divergent thinking skills in the context of non-formal education.

This study presents EcoLens, an innovative AI-powered web application designed to support the United Nations Sustainable Development Goals (SDGs), particularly SDG 12: Responsible Consumption and Production, while contributing to SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 14 (Life Below Water), SDG 15 (Life on Land), and SDG 17 (Partnerships for the Goals). Addressing the critical solid waste management crisis in the Philippines—where approximately 35,580 tons of garbage are generated daily [12]. EcoLens promotes sustainable practices through enhanced recycling, waste segregation, and environmental education. The application integrates Convolutional Neural Networks (CNNs) via TensorFlow.js for real-time image recognition and classification, complemented by a recycling database with disposal instructions, facility mapping, and a gamified reward system. System evaluation using the ISO/IEC 25010 quality model with 102 participants demonstrated strong performance (scores: 76 for performance, 82 for accessibility, 100 for best practices, 82 for SEO) and high user acceptance (Likert means 4.44–4.71). By combining AI-driven technology, education, and behavioral incentives, EcoLens provides a scalable, SDG-aligned solution that advances waste reduction, environmental stewardship, and sustainable urban development in the Philippines.

Climate change represents one of the most pressing challenges of our time, directly impacting the achievement of multiple United Nations Sustainable Development Goals (SDGs). This research presents ClimateAware, a web-based platform designed to enhance climate information accessibility and community engagement in support of SDG 13 (Climate Action), SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), and SDG 17 (Partnerships for the Goals). The platform addresses critical gaps in existing climate communication systems by providing localized climate news, real-time updates, community interaction tools, and personalized dashboards. Using a descriptive developmental research design, the system was evaluated through comprehensive testing with 100 participants from Centro Escolar University Manila. Results demonstrate 100% system uptime, 328ms average response time, and high user engagement across different content types. The platform successfully integrates RSS feeds for automated content curation, community forums for knowledge sharing, and event management systems for local climate action coordination. Security testing revealed no vulnerabilities, while compatibility testing confirmed cross-platform functionality. ClimateAware represents a significant contribution to digital climate communication, demonstrating how technology can support SDG achievement through enhanced public awareness, education, and community mobilization for climate action.

Background: Long-term metformin therapy in individuals with type 2 diabetes may influence hematological parameters and vitamin B₁₂ status. This study examines demographic, clinical, hematological, and family-history characteristics in metformin users versus non-users. Methods: Two groups were compared: 38 non-metformin users and 114 metformin users. Variables assessed included gender, age distribution, residence, metformin dosage/duration, side effects, dietary practices, hemoglobin, vitamin B₁₂ levels, and family history of diabetes, heart disease, and B₁₂ deficiency. Results: Both groups had equal gender distribution (50% male/female). Metformin users were older (mean age 56.7 ± 11.4 years vs. 46.2 ± 15.4 years in non-users). A majority of metformin users lived in rural areas (57%), compared to non-users (urban 28.9%). Among metformin users, 58.8% had been on treatment for over 10 years (mean duration 13.3 ± 8.4 years), with a mean daily dose of 720 mg. Most (88.6%) experienced no side effects; gastrointestinal symptoms were reported infrequently. Dietary avoidance of starchy/sugary foods was observed in 25.4%. Hemoglobin was normal in virtually all participants; 7.9% of metformin users exhibited low hemoglobin. Vitamin B₁₂ levels remained largely unknown (97% of metformin users and 100% of non-users), with only 0.9% showing normal B₁₂ and 1.8% low B₁₂ among users. Family history of type 2 diabetes and heart disease was slightly lower in metformin users compared to non-users. Conclusion: Metformin usability typically aligns with older age and rural residence. While hematological indices appear unchanged, unmeasured vitamin B₁₂ levels in the majority signal the need for routine assessment among metformin-treated populations, especially considering external evidence of deficiency risk with prolonged, high-dose use.

This study introduces a multi-objective optimization model for formulating global warming-resilient humanitarian welfare network to minimize total cost, minimize total shortage, and minimize distributional inequity for flood response in flood prone areas. The framework strategically addresses the complexities of disaster relief by considering five key echelons: affected areas, distribution hubs, hospitals, temporary accommodation centers and temporary care centers to integrates casualties costs at temporary care and accommodation centers, transportation cost across all echelons or routes, facilities establishment cost, relief supply shortage ,and distributional inequity .. We employ the epsilon-constraint (𝜀�-constraint), Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) and modified multi-objective particle swarm optimization (MMOPSO) methods to solve the complex optimization problem. The proposed approach for the formulated model efficacy was demonstrated through its application to June/July 2025, real-world case study in Sapele and Amukpe environs, Delta State, Nigeria, a region significantly impacted by perennial floods exacerbated by global warming. Numerical simulations reveal that the MMOPSO method outperforms NSGA-II and 𝜀�-constraint methods in terms of solutions quality and computational efficiency to provide Pareto-optimal solutions that balance response time, costs, relief shortage, distributional inequity and community impact. This research contributes to the development of data-driven decision support systems for humanitarian welfare network, enhancing the resilience of communities prone to floods and other disasters. The framework offers policymakers a tool to balance overall costs-efficiency associated with facilities location-allocation, and to minimize distributional inequity in global warming disasters-induced prone regions.