Results 181 to 190 of about 702,199 (275)

Associations of lifestyle‐related factors and psoriatic arthritis disease activity: the Dutch south west psoriatic arthritis study

Arthritis Care &Research, Accepted Article.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

RNA fold prediction by Monte Carlo in graph space and the statistical mechanics of tertiary interactions. [PDF]

RNA
Phan ENH, Mak CH.
europepmc   +1 more source

Statistical Mechanics and Thermodynamics: Boltzmann's versus Planck's State Definitions and Counting ^†. [PDF]

Entropy (Basel), 2021
Enders P.
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Learning nonequilibrium statistical mechanics and dynamical phase transitions. [PDF]

Nat Commun
Tang Y, Liu J, Zhang J, Zhang P.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo. [PDF]

J Chem Theory Comput
Zuckerman DM, George A.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Exploring cooking fuel choices among Ghanaian women of reproductive age: A socio-economic analysis from a statistical mechanics perspective. [PDF]

PLoS One
Ansah RK, Boadi RK, Obeng-Denteh W, Asosega KA, Tawiah K.   +4 more
europepmc   +1 more source