Results 201 to 210 of about 3,609,102 (305)
Correction: Toward precision psychological rehabilitation: predicting CBT efficacy in post-stroke depression using machine learning. [PDF]
Lin J, Yu J.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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 +2 more
wiley +1 more source
Cell formation in real manufacturing systems with complex flow and technological constraints. [PDF]
Petrini G, Sagawa JK.
europepmc +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Machine learning models for volume and weight estimation in breast reconstruction planning. [PDF]
Teo SP +9 more
europepmc +1 more source
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
Using Machine Learning as a Seroma Risk Assessment Tool in Prepectoral Breast Reconstruction. [PDF]
Chinta SR +9 more
europepmc +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review. [PDF]
Cho H +7 more
europepmc +1 more source

