Results 221 to 230 of about 2,962,161 (302)

Lead fractionation and availability in contaminated soils: a comparative study of organic wastes and zeolite as stabilizing agents. [PDF]

Environ Geochem Health
de Resende PS, Price GW, da Silva Teixeira R, Vasques ICF.   +3 more
europepmc   +1 more source

scH16S‐Seq Maps Klebsiella pneumoniae‐Associated Myeloid States and Reveals a CD38–NAD Immunometabolic Axis That Impairs Lysosomal Acidification in Sepsis

Advanced Science, EarlyView.
Single‐cell host–bacterial 16S co‐sequencing (scH16S‐seq) integrates cell‐associated bacterial 16S‐derived signals with host transcriptomes to resolve bacterial signal‐enriched myeloid states in Klebsiella pneumoniae sepsis. Complementary pharmacological and genetic analyses define a CD38–NAD immunometabolic axis connecting mitochondrial bioenergetic ...
Yangguang Li, Yilong Yu, Fang Qin, Shenxing Li, Xuanheng Li, Peizhao Liu, Juanhan Liu, Haiqing Liu, Songqi Jing, Jianghao Zou, Sicheng Li, Jiayang Li, Tao Zheng, Yun Zhao, Jianan Ren, Xiuwen Wu   +15 more
wiley   +1 more source

Hydrochemical Evolution and Isotopic Identification of Groundwater Contamination in a Typical Abandoned Pyrite Mining Area: A Case Study of the Jinpen Mining Area in Yunxi County. [PDF]

Water Environ Res
Du B, Su H, Shi Y, Zhou P.
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Heavy Metal Pollution in River Sediments: Risk Assessment, Source Apportionment, and Remediation-A Review Focusing on Chinese River Basins. [PDF]

Toxics
Tan Y, Qin J, Tao B, Zhao H, Deng J, Ling J, Dai M, Chen X.   +7 more
europepmc   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

Integrated Assessment of Heavy Metals in Mining-Affected Soils in China: Source Identification, Ecological Risks, and Sustainable Remediation. [PDF]

Toxics
Zhao Y, Hua J, Fan T, Zhou Y, Wang X, Zhang S, Li Q.   +6 more
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Maxillary sinus-related adverse event reports associated with endosseous dental implants in the FDA MAUDE database: a retrospective text-mining analysis. [PDF]

BMC Oral Health
Liu C, Tang T, Chen Y, Meng X, Song Z, Liu D, Zhu L.   +6 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source