Results 201 to 210 of about 8,510,788 (298)
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source
An immersive mixed reality surgical self-training system for precise pedicle screw placement: a randomized controlled trial. [PDF]
He Q +7 more
europepmc +1 more source
Self-Training Video Module versus Instructor Taught Pediatric Basic Life Support According to Peyton Model: Report of an Experience. [PDF]
Ghanbaryan M, Saeidi M.
europepmc +1 more source
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski +3 more
wiley +1 more source
Home-based self-training: A qualitative exploration of the experiences of individuals with chronic-stroke. [PDF]
Loubani K +4 more
europepmc +1 more source
Uncertainty-based Self-training for Biomedical Keyphrase Extraction. [PDF]
Gero Z, Ho JC.
europepmc +1 more source
Self-efficacy improved after neonatal resuscitation team training
Handling neonatal resuscitation requires optimal team functioning. A team must be composed of individuals who have specifically assigned roles and responsibilities.
Pålsson, Ylva,, Nyström, Anita,
core
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Real-time jute leaf disease classification using an explainable lightweight CNN via a supervised and semi-supervised self-training approach. [PDF]
Jannat M +6 more
europepmc +1 more source
Robot-Assisted Gait Self-Training: Assessing the Level Achieved. [PDF]
Scheidig A +7 more
europepmc +1 more source

