Sulfurized polyacrylonitrile (SPAN) is investigated as a cathode for room‐temperature Na–S batteries in ether‐based electrolytes under controlled discharge depths. Depth‐of‐discharge‐dependent structural evolution reveals that deep discharge below 1.0 V destabilizes SPAN structure, alters polysulfide equilibria, and promotes sodium dendrite formation ...
Liwen Yang +5 more
wiley +1 more source
Genomic insights into a novel species, Dyella thailandensis sp. nov., a cellulolytic and xylanolytic bacterium isolated from soil associated with leaf compost. [PDF]
Intarapasit N +4 more
europepmc +1 more source
Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török +6 more
wiley +1 more source
Advances in Electromembrane Processes for Resource Recovery. [PDF]
Mitko K, Turek M, Reig M, Vecino X.
europepmc +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
Dietary Encapsulation of a Novel <i>Lysinibacillus</i> sp. PWR01 Probiotic Modulates Growth, Antioxidant, Immune Gene Expression, and Gut Health in Nile tilapia (<i>Oreochromis niloticus</i>) Against <i>Aeromonas hydrophila</i> Infection. [PDF]
Linh NV +10 more
europepmc +1 more source
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
Optical wave propagation in magneto-optic waveguides with generalized anti-cubic model. [PDF]
Baber MZ +4 more
europepmc +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Correlation of Trace Mineral Status Between Cows and Their Calves: Insights from Paired Serum Samples. [PDF]
Fresco-Rey L +8 more
europepmc +1 more source

