Results 151 to 160 of about 7,263,454 (280)
Evidence on the relationship between green and blue spaces and mental health in regional areas of Australia is limited. This study assessed associations between green space, blue space, green-blue space (GBS), and psychological distress in regional ...
Biddle, Stuart J.H. +3 more
core +1 more source
A gallium‐centered cell pairs an aluminum‐alloyed GaIn anode with a GaOOH cathode in a chloride‐rich water‐in‐ionic‐liquid electrolyte. Chlorogallate ions dissolve the native oxide that normally seals the liquid metal, and preferentially reduce indium seeds to oxide‐free clusters on which gallium plates and strips reversibly.
Adit Gupta +3 more
wiley +1 more source
A locally competitive coordination electrolyte, formulated with a nitrile‐based solvent, dual borate salts, and ether co‐solvents and diluents, concurrently stabilizes Ni‐rich positive and Li‐metal negative electrodes. This design suppresses parasitic reactions while forming an inorganic‐rich SEI, enabling Li‐metal cells to stably cycle under stringent
Jianqi Sun +13 more
wiley +1 more source
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani +6 more
wiley +1 more source
A map of Jakarta showing open green spaces; verso shows other historical and cultural ...
Green Mappers Jakarta (Firm)
core +1 more source
Groo, Martineau and Green "bull session"
Black and white photograph of William M. Green and two friends identified as "Groo" and "Martineau" standing outside on the campus of the University of Utah in the mid ...
Green, William M. (William Manning), 1916-2007
core
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Walking across the campus green at South Dakota State University
Woman walking on a path across the campus green toward the South Dakota Art Museum on the campus of South Dakota State ...
core
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

