Results 161 to 170 of about 16,992,457 (248)

Evaluation of multi-environment adaptability of flour quality traits in spring wheat varieties and screening of high-quality genotypes using AMMI and GGE models. [PDF]

Front Plant Sci
Sun N, Huang Q, Yang H, Zhang Z, Wang W, Zhang X, Ma L, Tuerxunbai D, Zou H, Madiyaer J, Geng H.   +10 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Paired In Vitro Susceptibility of Cefiderocol and Colistin in Colistin-Resistant, Extensively Drug-Resistant Gram-Negative Bacilli: A Single-Centre, MIC-Based Analysis of 236 Clinical Isolates. [PDF]

Microorganisms
Hogea E, Pilut NC, Bratosin F, Rusnac AN, Plavitu O, Stanga L, Branea HS.   +6 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant <i>Enterobacterales</i> carriers: a multicenter retrospective cohort study. [PDF]

Front Cell Infect Microbiol
Jeon K, Song W, Shin DH, Kim HS, Kim HS, Lee J, Jeong SH, Jeong S.   +7 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Predictors of <i>Candida auris</i> Infection in Previously Colonized Patients: A Retrospective Cohort Study from a Large Tertiary Reference Center. [PDF]

J Fungi (Basel)
Ergün N, Karabulut SS, Türken M, Tatar B, Senger SS.   +4 more
europepmc   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Inflammatory protein signatures as predictors of insulin resistance and cognitive function: a one-year longitudinal study in the mPRIME cohort. [PDF]

Brain Behav Immun Health
Schiweck C, Gruber J, Bralten J, Fanelli G, Paz-Graniel I, van Gils V, Gomez-Martinez C, Salas-Salvadó J, Glennon J, Poelmans G, Franke B, Reif A, Matura S.   +12 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source