Elsevier, Agriculture Toward Net Zero Emissions, Volume , 1 January 2025
Since 2016, there have been significant developments in agrivoltaic farming and the role of solar energy harvesting. The use of agrivoltaic farming applications differs between various countries due to challenges such as technical and economic ones. A short description of various solar panels has been presented. It discussed plant parameters for agrivoltaic system use, an especially possible role of light saturation point. Technical parameters for optimization of agrivoltaics—how various heights, spacing, impact of density the shading under the panels.
Elsevier, One-and Two-Dimensional Nanomaterials: Bioengineering Applications, Volume , 1 January 2025
Recent advances in nanotechnology have generated concerns regarding nanoparticles' prevalence, dispersion, destiny, and environmental migration. Nanoparticles originate from diverse sources, such as their extensive utilization in various engineering practices, biomedical uses, consumer products, and food and drug delivery systems. Nanoparticles and nanoscale materials are increasingly found in multiple environmental media, often released as waste or by-products from engineered processes.
Elsevier, One Earth, Volume 8, 17 January 2025
Pesticides are extensively used to improve food production, resulting in ubiquitous pesticide contamination in surface waters due to agricultural runoff. However, pesticide mixture toxicity to global aquatic organisms is poorly understood due to their common co-occurrence and interactions, limiting mitigation strategies.
Elsevier, iScience, Volume 28, 17 January 2025
The electroreduction of nitrate has emerged as a promising global strategy for water purification in the face of harmful nitrate in wastewater. However, the usually low concentration of nitrate in wastewater poses a great challenge to this process, thus necessitating more in-depth studies to optimize its efficiency. This perspective article briefly explores the various electrochemical pathways of nitrate reduction, including the conversion of nitrate to ammonia, the conversion of nitrate to dinitrogen, and the C-N coupled reduction process.
Elsevier, iScience, Volume 28, 17 January 2025
Thermo-responsive polymer is becoming a potential water purification and water harvesting material. To clarify the water diffusion characteristics, the desorption ratio of liquid water and water vapor for a poly (N-isopropylacrylamide) was researched by the multi-scale method. Firstly, macro and micro structures for the hydrogel with different water content were characterized. Second, the dynamic moisture preserving status of the hydrogel during the desorption process were tested. Thirdly, the dynamic liquid-vapor desorption rate was quantified.
Elsevier,
Cell Reports Physical Science, Volume 6, 15 January 2025
This article presents a heat-pump-coupled sorbent system to simultaneously harvest water from air and regulate indoor environments, addressing global challenges related to water scarcity and energy-efficient air conditioning.
Elsevier,
Materials Today, Volume , 2025
The article provides an overview of metal-organic framework (MOF)-based composite adsorbents for atmospheric water harvesting, discussing the hydrolytic stability of MOFs, recent advances in sorption-based water harvesting devices, and the challenges and prospects of MOF-based composite adsorbents. Key points include compositing MOFs with other functional materials to address limitations in water adsorption capacity and energy-intensive regeneration, and the factors affecting the hydrolytic stability of MOFs.
Elsevier,
Geriatric Nursing, Volume 61, 1 January 2025
This review highlights how nurse practitioners can strengthen Alzheimer’s disease care by supporting earlier diagnosis and access to treatment, which is essential for maintaining quality of life. Expanding their role helps reduce barriers in the healthcare system, ensuring people with Alzheimer’s receive timely care that promotes better health and well-being.
Elsevier,
Acta Pharmaceutica Sinica B, Volume , 2025
The article presents PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks to prioritize therapeutic targets for Alzheimer's disease (AD). PI4AD recovers clinically validated targets like APP and ESR1, confirming its prioritization efficacy. The framework identifies Ras signaling as a central therapeutic hub, complementing traditional amyloid/tau-focused approaches. Crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1) and drug repurposing opportunities, bridging genetic insights with pathway-level biology.
