Elsevier, Energy Research and Social Science, Volume 126, August 2025
The paper critically examines the assumption that access to electricity (SDG 7) inherently promotes gender equality (SDG 5). It finds that the gendered impacts of electricity access vary widelysometimes empowering women, but other times reinforcing existing inequalities. To better understand these dynamics, the authors develop a new theoretical framework that merges:
Gender Studies insights on gender as performative, intersectional, and shaped by power relations.
Social Practice Theory, which explores how electricity gains meaning through its role in everyday practices.
This framework is applied to case studies in rural Guatemala (patriarchal) and rural Colombia (matrilineal), revealing how cultural context shapes outcomes. The paper also introduces an 8-step methodology for applying this framework in practice.
Ultimately, the study offers tools for designing context-sensitive energy policies that are more likely to advance gender equality.
Elsevier, The Lancet Regional Health - Southeast Asia, Volume 39, August 2025
This study investigates the association between polluting cooking technology use, and domain-wise cognitive functions in an rural aging cohort in South India, which includes insights from structural brain MRI. These findings substantiate the results of previous studies, noting diminished global cognition and visuospatial function among polluting cooking technology users.
Elsevier, American Journal of Clinical Nutrition, Volume 122, August 2025
Background: Improving nutrition for all requires understanding how interventions influence nutrition inequalities within society. Intersectionality, which considers how multiple disadvantages intersect, may offer more precise insight into the equity of these interventions. Objectives: Using an intersectionality-informed approach and mediation with exposure–mediator interaction, we investigated how participation in nutrition-sensitive agriculture interventions tested in the UPAVAN trial affected inequalities in women's diets in Odisha, India.
Elsevier, American Journal of Transplantation, Volume 25, August 2025
Diversity, equity, inclusion, and belonging (DEIB) have implications for transplant access and outcomes. Inequities in transplantation have been identified over the years for minoritized groups based on race, ethnicity, sex, sexual orientation, gender identity, disability status, and other sociocultural identities. While DEIB initiatives have demonstrated success in improving transplant outcomes for some minoritized groups, many gaps still exist, and additional work is needed. Concerns about these practices have also been raised, and they may create barriers to achieving DEIB goals.
Elsevier, Linguistics and Education, Volume 88, August 2025
Textbooks can play a formative role in shaping young students' perceptions of societal norms, including gender roles, as they serve as a primary source of knowledge and cultural values. Existing literature on Pakistani textbooks has focused mainly on middle and secondary levels, leaving the elementary context underexplored, specifically after curriculum reforms in 2020. We addressed that gap by applying Fairclough's Critical Discourse Analysis to recently reformed English language textbooks for grades 1–5, published by the Sindh Textbook Board, Pakistan.
Elsevier,
Learning, Culture and Social Interaction, Volume 53, August 2025
This study explores the development and refinement of a technology-enhanced embodied learning environment at Camp Expression, a reverse-inclusion camp for children with moderate-to-severe communication disabilities.
Elsevier,
Evaluation and Program Planning, Volume 111, August 2025
Given the climate crisis, all sectors must make choices that serve people and planet well into the future. The establishment of the United Nations Sustainable Development Goals (SDGs) in 2015 shifted the global debates on these issues particularly recognizing that sustainability as a critical lens must be applied not only by public and not-for-profit sectors, but also by philanthropy and private sector.
Elsevier,
Asian Journal of Psychiatry, Volume 111, September 2025, 104632
This study demonstrates that deep learning models, especially Graph Convolutional Networks can effectively and accurately differentiate healthy individuals from those with mild cognitive impairment and Alzheimer's disease, supporting early diagnosis of cognitive decline.
