Results 201 to 210 of about 203,019 (292)

A Preliminary Investigation of a Conceptual Framework of Performance Enhancement Across Different Life Domains. [PDF]

Sports (Basel)
Skoufa L, Ourda D, Barkoukis V, Tsorbatzoudis H.   +3 more
europepmc   +1 more source

Machine Learning Prediction of Raster Angle Effects on Mechanical Properties of Extrusion‐Based Additively Manufactured Conductive Thermoplastic Polyurethane Composites

Macromolecular Materials and Engineering, EarlyView.
This study integrates machine learning (ML) and high‐fidelity experiments to model how raster angle influences the mechanical properties of fused filament fabricated conductive TPU composites. Using Poly6 and SVR models, the approach accurately predicts stiffness, strength, and ductility.
Imran Khan, Ans Al Rashid, Muammer Koç
wiley   +1 more source

Time to Achieve a Minimal Clinically Important Difference After Total Hip Arthroplasty: A Retrospective Cohort Comparison of Robotic-Assisted, Navigation-Assisted, and Conventional Techniques. [PDF]

Arthroplast Today
Omran K, Wixted C, Waren D, Rozell JC, Schwarzkopf R.   +4 more
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

The influence mechanisms of living environment on the physical and mental health of Chinese older adults: a cross-sectional exploration based on CLASS 2023. [PDF]

Sci Rep
Wu Y.
europepmc   +1 more source

A Perspective of Multi‐Reflecting TOF MS

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov, V. V. Makarov, A. V. Vorobyev, S. N. Kirillov   +3 more
wiley   +1 more source

Towards a minimal core dataset for systemic lupus erythematosus studies. [PDF]

Lupus Sci Med
McDonald S, Teng J, Yang C, Barraclough M, Alarcon GS, Askanase AD, Bernatsky S, Clarke AE, Costedoat-Chalumeau N, Fu Q, Gladman DD, Hanly JG, Legge AC, Isenberg D, Kalunian K, Kamen DL, Petri MA, Rahman A, Sun C, Li T, Urowitz M, Voskuyl A, Wallace DJ, Zhang J, Bruce IN.   +24 more
europepmc   +1 more source

Prediction of the Mechanical Properties of the Additive Friction Stir‐Deposited Al2219 Using Machine Learning

Materials Genome Engineering Advances, EarlyView.
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam, Qian Qiao, Xiaowei Chen, Wai I Lam, Xiumei Gong, Yongyong Lin, Hongchang Qian, Dawei Guo, Dawei Zhang, Chi Tat Kwok, Lap Mou Tam   +10 more
wiley   +1 more source

Motivations, challenges, and benefits of first aid knowledge popularization volunteerism among undergraduate medical students: a qualitative study. [PDF]

Front Public Health
Huang R, Li S, Guo Y, Yang X, Zhang B.
europepmc   +1 more source

On the Mean‐Field Limit of Consensus‐Based Methods

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley   +1 more source