Results 151 to 160 of about 77,189 (259)
A vacancy‐stabilized Pt,Mo‐NiSeO4/NiSe2@Co2P heterostructure with atomically dispersed Pt sites and Mo‐regulated electronic structure enables efficient bifunctional water splitting. Strong interfacial coupling and defect‐assisted Pt stabilization promote rapid charge transfer and optimized intermediate adsorption, delivering outstanding HER/OER ...
Thokchom Anjali Devi +7 more
wiley +1 more source
Respiratory Emergencies in Disasters: A Narrative Review. [PDF]
Karabulut AE, Özen Karabulut B.
europepmc +1 more source
Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park +4 more
wiley +1 more source
Localized polarization-guided alignment control in carbon nanotube films via femtosecond-pulse optical post-processing. [PDF]
Suzuki D +12 more
europepmc +1 more source
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Behavior of surface contamination by Salmonella spp. on broiler carcasses during slaughter stages. [PDF]
Schmiedt JA +10 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Oxidative and Mitochondrial Status of Vitrified Equine In Vitro Matured Oocytes Using Temperature-Specific Equilibration Protocols. [PDF]
Gago S +7 more
europepmc +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

