Elsevier,
IJID Regions, Volume 14, Supplement 2, March 2025, 100599
The article discusses India's National Tuberculosis Elimination Program and its efforts to combat TB, which disproportionately affects vulnerable populations, including tribal communities and people living in poverty and remote rural areas.
Nexus
Volume 2, Issue 1
100054
Prioritizing green and water-conscious production, making the energy transition more sustainable via water-conscious and green production of hydrogen and methanol.
Elsevier,
STAR Protocols, Volume 6, 21 March 2025
The model detailed in this article can be used to compute the climate effects of global aviation emissions under different conditions and provide the methodological guidance for researchers to analyze the effects of different climate change control measures.
Elsevier,
Journal of Climate Change and Health, Volume 22, 1 March 2025
The study developed a Heatwave Health Risk Index for Karnataka (India), identifying northern and central districts as most hazard-prone, with Bidar, Kalaburagi, Gadag, and Dharwad classified as 'very high risk'. The findings aim to guide policymakers in prioritizing targeted adaptation strategies to mitigate heatwave impacts across the state.
Elsevier,
Journal of Climate Change and Health, Volume 22, 1 March 2025
This article examines the differences in heat-related illness (HRI) outcomes between urban and rural areas in the United States using data from the National Emergency Medical Services Information System (NEMSIS) from 2021 to 2023.
Elsevier, International Journal of Educational Development, Volume 113, March 2025
This paper explores the digital imaginaries presented in the educational governance and policy landscape of Colombia through the lens of rurality. It interrogates one policy instrument, namely CONPES 3988, which establishes the importance of digital technologies in national-level educational policies and subsequent strategies.
Elsevier, Software Impacts, Volume 23, March 2025
DeepPack3D: a new open-source Python package that harnesses the power of deep reinforcement learning and innovative heuristics to tackle the complexities of 3D bin packing. With features like customizable lookahead values and real-time visualization, it's designed to empower researchers and developers to push the boundaries of what's possible in supply chain management.
