Results 131 to 140 of about 222,155 (263)

Physical Fitness and Cognitive Performance in Preschool Children: Cross-Sectional and Longitudinal Associations From the ELFIT Trial. [PDF]

Scand J Med Sci Sports
Martin-Martinez C, Valenzuela PL, Mañas A, Martinez-de-Quel O.   +3 more
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

Vascular, physical fitness, lifestyle, and body composition characteristics in middle-aged and older diver fishermen: association between shear rate and lower-limb physical fitness. [PDF]

Front Physiol
Véliz A, Berríos RP, Dörner Paris A, Andrade DC, Álvarez C.   +4 more
europepmc   +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

Temporal trends of physical fitness in northern Italian children (2014-2019): a repeated cross-sectional study. [PDF]

J Public Health (Oxf)
Gatti A, Giuriato M, Vandoni M, Messina G, Malavolta R, Cavallo C, Pirazzi A, Pellino VC, Lovecchio N, Lazzer S.   +9 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

Physical Fitness Cut-Points for Early Detection of Obesity Risk in Preschool Children. [PDF]

Obesity (Silver Spring)
Herrada-Robles M, Labayen I, Castro-Piñero J, Martínez-Vizcaíno V, Rojo-Tirado MA, Moliner-Urdiales D, Sanchís-Moysi J, Vidal-Conti J, Vicente-Rodriguez G, Tomkinson GR, Cadenas-Sanchez C.   +10 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Association Between Health-Related Physical Fitness and Cognition in Preschoolers: MOVI-HIIT Study. [PDF]

Scand J Med Sci Sports
Visier-Alfonso ME, Sánchez-López M, Bizzozero-Peroni B, Díez-Fernández A, Ruiz-Hermosa A, Martínez-Vizcaíno V.   +5 more
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