Results 191 to 200 of about 118,488 (274)

Spatiotemporal dynamics of brain function network during proprioception rehabilitation after anterior cruciate ligament reconstruction: A randomized trial

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
The improvement of proprioceptive function after ACLR is related to the optimization of spatiotemporal dynamics of SM, CC, DM, CB and VI functional networks. Rehabilitation optimization can incorporate visual–cognitive dual‐task exercises. Abstract Purpose In this study, we aimed to examine the dynamic functional network connectivity (dFNC) patterns ...
Xiaoyun Zhuang, Chunmei Sui, Xuesong Han, Xiaoying Liu, Xiaoyang Wang, Xiumei Zhu, Ming Xu, Yin Qin   +7 more
wiley   +1 more source

Enhancing WSI image classification with graph convolutional neural networks and model uncertainty modeling. [PDF]

BMC Med Imaging
Liu C, Cheng Y, Li T, Hao Y, Zhang Q.
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Application of stacked bidirectional LSTM neural networks in reservoir porosity prediction. [PDF]

Sci Rep
Zhang P, Hu S, Xiao Y, Chen P, Sun D.
europepmc   +1 more source

Chess in Mental Health: Therapeutic Potential and Neurocognitive Mechanisms—A Systematic Review

Medicine Bulletin, EarlyView.
ABSTRACT Objective Chess is an ancient game with simple rules but high cognitive demands. This review examined chess as a cognitive tool for patients with mental disorders and explored the cognitive mechanisms and neural structures that may underlie its effects. Method A systematic review of studies was conducted following PRISMA guidelines.
Maria Rodrigo‐Yanguas, Fernand Gobet, Marcos Bella‐Fernández, Marina Martin‐Moratinos, Hilario Blasco‐Fontecilla   +4 more
wiley   +1 more source

Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity prediction. [PDF]

Sci Rep
Rayka M, Naghavi SS.
europepmc   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source

Deep learning decodes species-specific codon usage signatures in Brassica from coding sequences. [PDF]

Sci Rep
Shahzad A, Arfan M, Khalid N.
europepmc   +1 more source

Using U‐Nets to Predict the Effects of Head Motion on Simulated Specific Absorption Rate for Ultra‐High Field Magnetic Resonance Imaging With Parallel Transmission

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultrahigh‐field MRI requires careful management of the specific absorption rate (SAR), which is subject and subject‐position dependent. Within‐scan subject motion may exacerbate local SAR exposure, necessitating large safety margins to prevent SAR underestimation, which hampers imaging performance.
Katherine Anna Blanter, Alix Plumley, Alper Gungor, Shaihan Malik, Emre Kopanoglu   +4 more
wiley   +1 more source

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization. [PDF]

Sci Rep
Wei R, Chen H, Wang H.
europepmc   +1 more source