Evaluation of virtual training delivery for health information systems implementation in Canada: A qualitative study. [PDF]
Karsan I +9 more
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Improving the accuracy of emergency department clinicians in detecting SARS-COV-2 on chest X-rays using a bespoke virtual training platform. [PDF]
Bahra J +15 more
europepmc +1 more source
A Multimodal Haptic Feedback Interface with Thin‐Film Compliant Mechanism
Multimodal haptic devices can trigger different mechanoreceptors, enabling richer haptic information. This study presents an electromagnetic multimodal haptic device capable of delivering indentation, stretch, and vibration stimuli. The device is enabled by a novel polymer thin‐film compliant mechanism that provides high translational compliance along ...
Jingjing Wan +15 more
wiley +1 more source
Collaborative learning in the digital age: empowering tuberculosis researchers through virtual training. [PDF]
Dippenaar A +8 more
europepmc +1 more source
Virtual Training Is More Cost-Effective Than In-Person Training for Preparing Staff to Implement Contingency Management. [PDF]
Hartzler B +10 more
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Lessons learned from organizing and evaluating international virtual training for healthcare professionals. [PDF]
Galoyan T +7 more
europepmc +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
A Mixed Methods Evaluation Finds Virtual Training Among Health Professions Education Trainees and Supervisors as Effective as In-Person Training. [PDF]
Yahya GM +5 more
europepmc +1 more source

