Results 171 to 180 of about 3,515,668 (311)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

'Early identification of struggling pre-clerkship learners using formative clinical skills OSCEs: an assessment for learning program.' [PDF]

Med Educ Online, 2022
Rosenberg I, Thomas L, Ceccolini G, Feinn R.   +3 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

Nurturing student creativity through assessment for learning in music classrooms. [PDF]

Res Stud Music Educ, 2022
Bolden B, DeLuca C.
europepmc   +1 more source

Evaluability assessment of the expansion of early learning and childcare [PDF]

, 2017
Anand, Neil, Craig, Neil, Inglis, Joanne, McAdams, Rachel, Wason, Debby   +4 more
core  

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
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, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

Automated Neuromuscular Assessment: Machine-Learning-Based Facial Palsy Classification Using Surface Electromyography. [PDF]

Sensors (Basel)
Manzoor I, Popescu A, Ricchizzi S, Spolaore A, Gorbachuk M, Tatagiba M, Naros G, Machetanz K.   +7 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

Predicting suicidal and self-harm ideation using ecological momentary assessment: deep learning analysis in a general population sample. [PDF]

BMC Psychiatry
Kim H, Heo SJ, Park S, Lee J, Do G, Park JY.   +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]

BMC Med Educ, 2022
Schmalz G, Kreher D, Sensky T, Büchi S, Ziebolz D.   +4 more
europepmc   +1 more source