Results 201 to 210 of about 805,112 (303)

Leveraging Machine Learning to Advance Alcohol Research: Current Applications, Challenges, and Opportunities. [PDF]

Alcohol Res
Zhao Q, Pohl KM.
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

Reduced critical branching processes in random environment

Let Z(n), N = 0, 1, 2, ... be a critical branching process in random environment and Z(m, n), m 0 converges to a non-trivial limit as n --> [infinity]. We also prove the convergence of the conditional distribution of the process {n-1/2 log Z([nt], n), 0 ...
Vatutin, V. A., Borovkov, K. A.
core  

Facilitating Expedited Drug Approval—the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, EarlyView.
Pamela F. Weiss, Hermine I. Brunner
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

Physical and emotional health among nurses in protracted crisis settings in Lebanon and Jordan: A cross-sectional study. [PDF]

PLoS One
Dumit N, Honein-AbouHaidar G, Gharaibeh MK, Al-Zaru IM, Hoteit R, Bou-Hamad I, Davidson P, Reynolds N.   +7 more
europepmc   +1 more source

On weighted branching processes in random environment

In this paper we investigate the nonnegative martingale Wn=Zn/[mu]n(U), n[greater-or-equal, slanted]0 and its a.s. limit W, when (Zn)n[greater-or-equal, slanted]0 is a weighted branching process in random environment with stationary ergodic environmental
Kuhlbusch, Dirk
core  

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Multi-environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool. [PDF]

Plant Genome
LaPorte MF, Hu H, Solomon W, Oard JH, Knapp SJ, Runcie DE, Edwards JD, McClung A, Diepenbrock CH.   +8 more
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