'Early identification of struggling pre-clerkship learners using formative clinical skills OSCEs: an assessment for learning program.' [PDF]
Rosenberg I +3 more
europepmc +1 more source
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 +5 more
wiley +1 more source
Nurturing student creativity through assessment for learning in music classrooms. [PDF]
Bolden B, DeLuca C.
europepmc +1 more source
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
Automated Neuromuscular Assessment: Machine-Learning-Based Facial Palsy Classification Using Surface Electromyography. [PDF]
Manzoor I +7 more
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
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 +3 more
wiley +1 more source
Predicting suicidal and self-harm ideation using ecological momentary assessment: deep learning analysis in a general population sample. [PDF]
Kim H +5 more
europepmc +1 more source
Comparison of PRISM and numeric scale for self-assessment of learning progress during a clinical course in undergraduate dental students. [PDF]
Schmalz G +4 more
europepmc +1 more source
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
An efficient non-invasive model for predicting cognitive impairment based on comprehensive geriatric assessment: Machine learning and SHAP analysis. [PDF]
Zhang J +6 more
europepmc +1 more source

