Results 151 to 160 of about 43,685,384 (257)

Lexical Context Effects During Reading: The Impact of Vocabulary Knowledge and Word Frequency. [PDF]

J Eye Mov Res
Abraham AN, Folk JR.
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Unité, égalité, liberté. Target à ses concitoyens / [signé Target]

, 1974
Appartient à l’ensemble documentaire : NordPdeC1Avec mode ...
Target, Jean François (17..-1808). Auteur du texte
core  

Spatial extension of parafoveal processing predicts reading speed gain during reading acceleration. [PDF]

J Vis
Zamfira DA, Deodato M, Di Dona G, Ronconi L, Melcher D.   +4 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

Journal of the Buddhist Text and Anthropological Society.

Includes the Proceedings of the Society.Description based on: vol. 5, pt. 1 (1897).Each vol.
Buddhist Text and Anthropological Society.
core  

RS-CARES: Context-Aware Cross-Modal Alignment with Semantic Spatial Prior for Referring Remote Sensing Image Segmentation. [PDF]

J Imaging
Xiong H, Luo W, He B.
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Generative Distribution Prediction: A Unified Approach to Multimodal Learning. [PDF]

Mach Learn
Tian X, Shen X.
europepmc   +1 more source