Results 201 to 210 of about 200,465 (268)
Impact of Effectiveness of Physical Activity in a Virtual Environment on the Regulation of Sclerostin and Interleukin 6 Levels in Haemodialysis Patients. [PDF]
Turoń-Skrzypińska A +7 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
A novel epitranscriptomic mechanism in rheumatoid arthritis is uncovered: NSUN2 promotes disease via m5C‐dependent stabilization of ICMT mRNA, fueling the migration and invasion of pathogenic RA FLS. Targeting this axis with engineered nanoparticles (Ce/SAA NPs) effectively inhibits disease progression, presenting a precise therapeutic strategy ...
Ruiru Li +15 more
wiley +1 more source
STRIVE pilot trial: a protocol for a multicentre pragmatic internal pilot randomised controlled trial of Structured TRaining to Improve fitness in a Virtual Environment (STRIVE) before surgery. [PDF]
McIsaac DI +12 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
Perceptions of HIV-Related Comorbidities and Usability of a Virtual Environment for Cardiovascular Disease Prevention Education in Sexual Minority Men With HIV: Formative Phases of a Pilot Randomized Controlled Trial. [PDF]
Ramos SR +6 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
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic +6 more
wiley +1 more source
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source
We present a stimulus‐replicating system combining a tactile sensor with a wearable Peltier thermotactile module and concentric electrotactile electrode. Signals encoding pressure and temperature drive the stimulators to reproduce mechano‐thermal cues on the skin. AlN/PDMS encapsulation and SA/LA PSA ensure mechanical compliance and thermal efficiency.
Ey‐In Lee +4 more
wiley +1 more source

