Results 221 to 230 of about 8,358,707 (356)
Dual‐Fluorophore Labeling for Polymer Blending Differentiation and Visualization
This work employs a dual fluorescent labeling strategy to visualize phase separation in polymer blends. Using confocal laser scanning microscopy, distinct phase separation is clearly observed in the absence of a compatibilizer. This phenomenon disappears upon compatibilizer addition, demonstrating the strategy's effectiveness in monitoring blend ...
Zhikang Xie, Siyu Yi, Xiangcheng Pan
wiley +1 more source
Enhancing acute stroke care in Ireland: A scoping review and Delphi consensus for the Irish National Audit of Stroke (INAS) dataset. [PDF]
Moran CN +18 more
europepmc +1 more source
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 +10 more
wiley +1 more source
National survey of Australian endocrinologists on relative importance of pre-existing inpatient diabetes audit fields in preparation for a national hospital audit. [PDF]
Yoo JWS +5 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Inclusion of Diagnostic Imaging in Orthopaedic Discharge Summaries: A Quality Improvement Project. [PDF]
Parkar N, Alduhoky M, Wignadasan W.
europepmc +1 more source
Determinants of Internal Audit Quality Post Sarbanes Oxley Act of 2002
Mohammad J. Abdolmohammadi +1 more
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Adequacy of Operative Notes for Orthopaedic Procedures: A Quality Improvement Project. [PDF]
Jan AA +5 more
europepmc +1 more source

