Results 201 to 210 of about 447,541 (315)
Estimation of Intradialytic Blood Volume Reduction Using Hemoglobin Changes: A Prospective Validation Study of a Pragmatic Clinical Tool. [PDF]
Iaina NL +4 more
europepmc +1 more source
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 +8 more
wiley +1 more source
Machine tool vibration is a complex subject requiring a multi-disciplinary approach involving the identification and analysis of the vibration sources and characteristics, as well as its direct and indirect effects. Machine tool vibration is influenced
Widiyarto, Muhammad Helmi Nur
core
What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source
Multi-Wavelength Machine Learning for High-Precision Colorimetric Sensing. [PDF]
Aalizadeh M +3 more
europepmc +1 more source
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic prediction. [PDF]
Osatohanmwen BE +3 more
europepmc +1 more source
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin +2 more
wiley +1 more source
Modeling the Adaptation of Dairy Cows to Automatic Milking Systems Using Statistical Methods and Machine Learning: Development of the Robotic Adaptability Index. [PDF]
Piwczyński D +3 more
europepmc +1 more source
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source

