Results 231 to 240 of about 6,200,949 (317)
The impact of randomization techniques on the performance of pre-post design models. [PDF]
Lu X, Zhang Y, Wu SS, Shan G.
europepmc +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
O-RADS US versus IOTA simple rules in the diagnosis of benign and malignant adnexal masses: a prospective study. [PDF]
Yang Y+8 more
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A Characterization of the finite simple group L4(3) [PDF]
Kok-Wee Phan
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Analysis of clinical and oncological outcomes after simple and intentional lung segmentectomies: the deceptive simplicity of the S6 segment. [PDF]
Lomangino I+27 more
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Establishing diagnostic criteria for feline obesity using a highly sensitive serum amyloid A assay. [PDF]
Kobayashi M+7 more
europepmc +1 more source