Results 141 to 150 of about 184,624 (268)
Relationships Among Auditory Discrimination, Adaptive Vocal Learning, and Perilaryngeal Muscle Activation in People With and Without Hyperfunctional Voice Disorders. [PDF]
Kapsner-Smith MR +4 more
europepmc +1 more source
Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula +7 more
wiley +1 more source
KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning. [PDF]
Qiu H +11 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
Dynamic nested hierarchies: self-evolving machine learning architectures for lifelong learning. [PDF]
Jafari AA, Ozcinar C, Anbarjafari G.
europepmc +1 more source
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley +1 more source
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
BioLAMR: A Biomimetically Inspired Large Language Model Adaptation Framework for Automatic Modulation Recognition. [PDF]
Mao Y, Xu W, Sang J, Liu H.
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
M<sup>2</sup>AML: Metric-Based Model-Agnostic Meta-Learning for Few-Shot Classification. [PDF]
Han X, Shi D, Wang Z, Yang S.
europepmc +1 more source

