Results 201 to 210 of about 737,101 (308)

Response and Failure of Pillar-Backfill Composite Materials Under Cyclic Loading: The Role of Pillar Width. [PDF]

Materials (Basel)
Shan Q, Shao C, Luan H, Zhang S, Pang C, Jiang Y, Wang L.   +6 more
europepmc   +1 more source

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Uncovering the Factors Behind Rising Pneumoconiosis Rates: Central Appalachian Underground Coal Miners as a Case Study. [PDF]

New Solut
Chen YH, Angulo JP, Brune JF, Tsai CS.
europepmc   +1 more source

Mining of Kamaishi Mine

Journal of the Mining Institute of Japan, 1984
Masa-aki FUKUDA, Norio TANAKA, Naotake KUROSAKI, Hiroshi NARUSE   +3 more
openaire   +2 more sources

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Study on the Evaluation Method of Collaborative Dust Prevention Effect with Coal Miners-Based on Feature Reduction, Genetic Algorithm, and Backpropagation. [PDF]

Saf Health Work
Shi S, Zheng H, Li H, Wang X.
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Increased Risk of Allergic Rhinitis Among Coal Mine Workers: A Cross-Sectional Study. [PDF]

Laryngoscope Investig Otolaryngol
Yang X, Wang Z, Yang M, Qing H, Pu X, Gao F, Wang X, Zhang L.   +7 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Comparisons of insect and pathogen leaf damage on early Eocene <i>Eucalyptus</i> (Myrtaceae) from Patagonia and extant Australasian gum trees. [PDF]

PhytoKeys
Giraldo LA.
europepmc   +1 more source