Results 141 to 150 of about 8,559,198 (240)
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
The role of selective attention in value-modulated attentional capture. [PDF]
Garre-Frutos F +4 more
europepmc +1 more source
Complete Issue Volume 2 Issue 1
Editor Journal of Teaching and Learning with Technology
doaj
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 +6 more
wiley +1 more source
Perceived integration as a gratification facilitator: psychological drivers of students' continuance intention in blended learning. [PDF]
Li D, Liu M, Shen M.
europepmc +1 more source
Editor Journal of Teaching and Learning with Technology
doaj
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Factors associated with behavioral engagement and learning satisfaction in YouTube-based informal English learning among Taiwanese undergraduate students. [PDF]
Hsia JW, Tseng A.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Complete Issue Volume 12 Issue 2
Editor, Journal of the Scholarship of Teaching and Learning
doaj +2 more sources

