Results 161 to 170 of about 3,973,613 (301)
Effectiveness of sprint interval training in enhancing adolescent physical fitness: a systematic review and meta-analysis. [PDF]
Xu T, Su S.
europepmc +1 more source
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 +4 more
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
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 +4 more
wiley +1 more source
Report on the On-Site Training for Introduction of C-Hook for Bottom Longline [PDF]
Southeast Asian Fisheries Development Center, Training Department
core
Effects of high-intensity interval training on body morphology and mental health in obese female college students. [PDF]
Zhu K.
europepmc +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Value, complement reduction and interval TU games [PDF]
In the framework of interval transferable-utility (TU) games, we introduce a generalization of the equal allocation of nonseparable cost (EANSC). Further, we extend the reduced game introduced by Moulin (1985) to interval TU games.
Yu-hsien Liao
core
Feasibility and Tolerance of High-Intensity Interval Training in Adults With Cystic Fibrosis. [PDF]
Mely L +6 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Brochure on the introduction of Training Department
Brochure on Introduction of Training ...
Training Department, Southeast Asian Fisheries Development Center
core

