Results 171 to 180 of about 265,383 (315)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Editorial: Training load in sport: current challenges and future perspectives, volume II. [PDF]

Front Sports Act Living
Branquinho L, de França E, Forte P, Teixeira JE, Ferraz R, Thomatieli-Santos RV.   +5 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Does the Intent Match the Output: Aligning Development Goals With Training Load in Youth Basketball. [PDF]

Eur J Sport Sci
Lever JR, Duffield R, Murray A, Bill HA, Bartlett JD, Fullagar HHK.   +5 more
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

The relationship between training load and injury risk in taekwondo: a systematic review. [PDF]

BMC Sports Sci Med Rehabil
Hu Y, Fu Z, Torres M, Luo W, Tang B, Zhu D, Zhao P, Li Y, Fong DTP, Wang D.   +9 more
europepmc   +1 more source

Relationship between load and readiness to train in a Gaelic football pre-competition training camp

, 2019
The purpose of this study was to investigate daily deviations of selected physiological and psychometric variables in elite Gaelic football players during a pre-competition training camp to minimize the risk of overtraining and injury.
O'Neill, Cian, McGahan, Jason, Lacey, Sean, Burns, Con, Gabbett, Tim   +4 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Relationships Between Training Load, Perceived Cognitive Load and Sleep in Student-Athletes. [PDF]

Int J Exerc Sci
Apinis-Deshaies A, Trempe M, Tremblay J.
europepmc   +1 more source

Inspiratory muscle training improves rowing performance.

, 2007
Metadata only record. Article freely available on journal website: https://journals.lww.com/acsm-msse/Fulltext/2001/05000/Inspiratory_muscle_training_improves_rowing.20.aspxTo investigate the effects of a period of resistive inspiratory muscle training ...
McConnell, Alison K., Koutedakis, Yiannis, McNaughton, Lars R., Jones, David A., Backx, Karriane, Volianitis, Stefanos   +5 more
core