Elsevier,
Ad Hoc Networks, Volume 168, 1 March 2025
IoT technologies are a powerful tool for large-scale water distribution systems, this survey highlight the key challenges such as interoperability, scalability, and energy efficiency. It proposes a framework that combines water network analysis, wireless network simulation, and optimization algorithms to enable sustainable and efficient deployment of massive IoT in water distribution systems
Elsevier,
Brain Research Bulletin, Volume 222, March 2025
This study demonstrates that aerobic exercise, specifically swimming training, improves learning and memory in Alzheimer's disease model mice by enhancing glymphatic system function and promoting AQP4 polarization, which facilitates clearance of β-amyloid in the hippocampus. These findings suggest that exercise-induced upregulation of Lama1 and Dp71 supports glymphatic clearance mechanisms, thereby reducing Aβ deposition and cognitive impairment.
Elsevier,
Neuroscience, Volume 568, 5 March 2025
This study examined perceptions and awareness of brain health among Cuban youth through an online survey of 1,049 participants using the Global Brain Health Survey. Results showed that participants viewed the social environment as the most influential factor on brain health and were generally aware of conditions like Alzheimer’s and depression, but had limited understanding of the cognitive effects of chronic diseases such as hypertension and diabetes, underscoring the need for targeted public health education and awareness campaigns.
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.
