Results 161 to 170 of about 6,815,023 (244)
AI-Assisted Angoff Standard Setting for Multiple-Choice Examinations in Medical Education: Comparative Study. [PDF]
Kassab SE +4 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Development and psychometric evaluation of the AI emotional engagement scale. [PDF]
Xu J, Mao M, Yao Y, Li W, Dai Q.
europepmc +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
When Cronbach's Alpha Is Not Enough: Implications for the Clinical Use of Vision-Related Patient-Reported Outcomes. [PDF]
Cantó-Cerdán M +7 more
europepmc +1 more source
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
Development of a spatial skills test for 4th grade primary school students: validity and reliability study. [PDF]
Aydın-Çolak E, Şahin N, Kıroğlu MK.
europepmc +1 more source
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 +3 more
wiley +1 more source
A study of the correlation among adolescents' personal belief in a just world, resilience and teacher-student relationship: a second-order and mediation model. [PDF]
Peng Z, Zhang W.
europepmc +1 more source
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 +3 more
wiley +1 more source

