Results 71 to 80 of about 5,626,748 (339)

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Design of virtual training system for shearer operation based on Quest3D

Gong-kuang zidonghua, 2015
In view of problem that current training methods for shearer operation can not show three-dimensional operation process of shearer from multi-angle, virtual training system based on Quest3D was designed.
LIU Haiyang, WANG Dahu, WANG Jingchong
doaj   +1 more source

Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails

, 2019
Robots hold promise in many scenarios involving outdoor use, such as search-and-rescue, wildlife management, and collecting data to improve environment, climate, and weather forecasting.
Iuzzolino, Michael L., Szafir, Daniel, Walker, Michael E.   +2 more
core   +1 more source

Implementation of a Virtual Training Simulator Based on 360° Multi-View Human Action Recognition

IEEE Access, 2017
Virtual training has received a considerable amount of research attention in recent years due to its potential for use in a variety of applications, such as virtual military training, virtual emergency evacuation, and virtual firefighting.
Beom Kwon, Junghwan Kim, Kyoungoh Lee, Yangkoo Lee, Sangjoon Park, Sanghoon Lee   +5 more
semanticscholar   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

Elaborating on the strengths and weaknesses of the evaluation status and quality assurance of e-learning in universities of medical sciences [PDF]

مجله ایرانی آموزش در علوم پزشکی, 2021
Introduction: Identifying the strengths and weaknesses of evaluation and quality assurance of an e-learning system can help design the systematic structure of the evaluation process in the higher education to elevate the quality of education.
Kaveh Eslami, Hatam Boostani, Mansour Zahiri, Simin Jahani, Behzad Fouladi Dehaghi, Arash Salahshori, Reza Arjmand, Akbar Babaei Heydarabadi   +7 more
doaj  

Effect of the level of task abstraction on the transfer of knowledge from virtual environments in cognitive and motor tasks

Frontiers in Behavioral Neuroscience, 2023
IntroductionVirtual environments are increasingly being used for training. It is not fully understood what elements of virtual environments have the most impact and how the virtual training is integrated by the brain on the sought-after skill ...
Viviana del Rocío Hernández-Castañón, Arlem Aleida Castillo-Ávila, Verónica Reyes-Meza, Nadia Bianchi-Berthouze, Alberto L. Morán, Felipe Orihuela-Espina, Felipe Orihuela-Espina   +6 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Generic Virtual Training

Proceedings, 2010
To meet the needs of its customers and insure the deployment of Generic Virtual Training (GVT®), Nexter Systems, main french integrator of land armament, created on January 1st, 2009 Nexter Training, a subsidiary specialized in training exploiting virtual reality. The platform GVT® enables production of training media in 3D.
openaire   +2 more sources