This study develops an integrated analytical framework combining climate risk assessment, econometric modelling, and spatial analysis to evaluate infrastructure resilience in India. Using district-level datasets aligned with IPCC projections, the analysis identifies pronounced regional disparities and a statistically significant upward trend in climate risk. The econometric results demonstrate that infrastructure systems designed using historical climate baselines are increasingly inadequate under future climate scenarios. The study addresses a critical gap by linking quantitative modelling with infrastructure planning and policy design. It proposes actionable strategies, including climate-informed design standards, district-level risk integration, and adaptive infrastructure investment frameworks, to strengthen resilience in high-risk regions.
This study examines the impact of operational stressors on police officers engaged in anti-illegal drug operations, highlighting the importance of promoting well-being and effective law enforcement aligned with global and national security goals. Despite extensive global research on police stress, limited localized studies in the Philippine context—particularly at the provincial level—create a gap in understanding how operational stressors specifically affect officers in anti-illegal drug operations, thereby establishing the originality of this study. It aims to determine the profile of police officers, identify common operational stressors, describe their patterns and levels, assess their impact on performance and well-being, and propose a stress management program. The study utilized a quantitative research design employing a descriptive approach, with respondents drawn from police officers of the Masbate Police Provincial Office through total enumeration sampling; data were collected using a validated self-constructed structured questionnaire administered through an online platform, and analyzed using statistical tools such as frequency, percentage, ranking, and weighted mean. Findings revealed that police officers experience significant stress from operational demands, workload, organizational factors, and public perception, which commonly occur and exert varying levels of impact on decision-making, job satisfaction, mental and physical health, interpersonal relationships, and community engagement, as reflected in the frequency, ranking, and weighted mean results across identified variables. Based on these results, the study concludes that operational stressors substantially influence police performance and well-being, thereby necessitating the implementation of a Comprehensive Stress Management and Wellness Program to enhance resilience, improve job performance, and support the overall welfare of police personnel.
The integration of technology into science education has become increasingly vital in addressing the challenges of teaching abstract concepts in Grade 10 Biology, particularly within rural contexts where resources and cultural assets shape learning experiences. The main objective of this study is to synthesize literature on six interrelated hypotheses: the role of teachers’ Technological Pedagogical Content Knowledge (TPACK), the influence of Situated Learning Theory on student engagement, the moderating effect of Funds of Knowledge (FoK), the strengthening impact of Collaborative Professional Development (CPD), the mediating role of student digital literacy, and the reinforcing function of institutional support and policy frameworks in sustaining technology integration. Employing a narrative literature review methodology, peer reviewed articles, books, and indexed conference proceedings from 1991 to 2025 were analyzed thematically to identify convergences, divergences, and gaps. Significant results reveal that higher levels of TPACK enable effective integration of digital tools, contextualized practices framed by Situated Learning Theory enhance engagement, FoK ensures cultural relevance, CPD builds teacher capacity, digital literacy mediates achievement gains, and institutional support sustains long term integration. In conclusion, the study demonstrates that effective and sustainable technology integration in rural biology classrooms requires a holistic approach that combines teacher expertise, student capacities, community assets, and systemic supports.
The post-pandemic world has accelerated the global shift towards digital governance, placing unprecedented emphasis on the modernization of local treasury operations (LTO). Studies by the International Monetary Fund (IMF, 2022) highlight the urgent need for governments to leverage digital technologies to enhance revenue mobilization and fiscal transparency. The IMF's Fiscal Monitor reports emphasize that digital transformation, when implemented effectively, can significantly improve tax administration and reduce corruption risks. This mixed-methods study explores the innovative strategies and operational challenges within the treasury offices of Legazpi, Ligao, and Tabaco in the Province of Albay. Findings reveal a "fiduciary-operational paradox," where high regulatory compliance is maintained despite a core-infrastructure bottleneck: 65% of treasury functions remain manual and 90% of the workforce lacks specialized IT competencies. Statistical analysis using the Kendall Coefficient of Concordance (W) demonstrated a significant and unanimous provincial consensus among respondents regarding the prioritization of modernization strategies, indicating high institutional readiness for reform. To bridge the gap between regulatory compliance and operational efficiency, the study proposes the Albay Resilient Treasury Modernization (ARTM) paradigm. This five-pillar policy intervention institutionalizes digital standards, mandates competency-based human resource development, and integrates disaster risk financing into local law. These findings provide a scalable framework for Local Chief Executives to enhance revenue generation and foster sustainable, technology-driven governance in the Philippines.
This qualitative study investigated the difficulties encountered and the level of self-efficacy of Grade 7 learners in Science lessons containing mathematical computation at Pangdan National High School, Catbalogan IX District, Schools Division of Catbalogan City, during the school year 2023–2024. Anchored on Bandura’s Social Cognitive Theory and Achievement Goal Theory, the study aimed to provide an in-depth understanding of learners’ experiences in handling computation-based science tasks. Using an interpretative phenomenological design, fifteen purposively selected slow and struggling learners participated in content analysis activities, problem-solving tasks based on Polya’s method, and focus group discussions. Findings revealed that mathematical computation appeared only in selected Grade 7 Science topics, particularly motion, motion graphs, and light characteristics, while topics such as sound characteristics, heat transfer, and charging processes lacked computational components. Learners exhibited varied proficiency levels: some demonstrated strength across all stages of Polya’s framework, whereas others struggled in understanding problems, planning solutions, performing computations, and verifying results. Thematic analysis showed that self-efficacy was influenced by curiosity in science, difficulties with computation-heavy topics, effective teaching strategies, and strong support from teachers, peers, and family. The study concludes that integrating computation in underrepresented topics, reinforcing verification practices, and applying targeted instructional strategies are essential to enhance problem-solving skills and self-efficacy in science.
