Results 111 to 120 of about 1,787,073 (298)

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

A particle swarm optimisation-based Grey prediction model for thermal error compensation on CNC machine tools [PDF]

, 2015
Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years.
Abdulshahed, Ali, Fletcher, Simon, Longstaff, Andrew P.   +2 more
core  

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Defect Generation and Detection Strategy for Tempered Glass in Sample-Scarce Scenarios

Information
To address the challenge of defect detection in tempered glass panel production rising from sample scarcity, this paper proposes a few-shot detection methodology that integrates an enhanced Stable Diffusion model with Mask R-CNN.
Kai Hou, Jing-Fang Yang, Peng Zhang, Guang-Chun Xiao, Fei Wang, Run-Ze Fan, Xiang-Feng Liu   +6 more
doaj   +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

Effect of dislocation slip on in-situ tensile fracture of vanadium alloys after helium/self-ion irradiation

Science and Technology of Advanced Materials
Research on tensile fracture of vanadium alloys after irradiation would help evaluate their mechanical properties and service life in extreme environments of fusion reactors, thereby ensuring the safety and reliability of the materials.
Qianqian Zhang, Shaoning Jiang, Yanfen Li, Shoushuai Zhang, Pengfei Zheng, Jianghai Lin, Guangchun Xiao   +6 more
doaj   +1 more source

The Atwood's machine as a tool to introduce variable mass systems

, 2011
This paper discusses an instructional strategy which explores eventual similarities and/or analogies between familiar problems and more sophisticated systems.
de Sousa, Célia A.
core   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Automating biomedical data science through tree-based pipeline optimization

, 2016
Over the past decade, data science and machine learning has grown from a mysterious art form to a staple tool across a variety of fields in academia, business, and government.
Andrews, Peter C., Kidd, La Creis, Lavender, Nicole A., Moore, Jason H., Olson, Randal S., Urbanowicz, Ryan J.   +5 more
core  

Identifying Product Order with Restricted Boltzmann Machines

, 2018
Unsupervised machine learning via a restricted Boltzmann machine is an useful tool in distinguishing an ordered phase from a disordered phase. Here we study its application on the two-dimensional Ashkin-Teller model, which features a partially ordered ...
Li, Zhenyu, Luo, Mingxing, Rao, Wen-Jia, Wan, Xin, Zhu, Qiong   +4 more
core   +1 more source