Results 121 to 130 of about 15,936,409 (281)

Improving Learning and Teaching at Universities: The Potential of Applying Automatic Essay Scoring with Latent Semantic Analysis

, 2016
The aim of this dissertation was to find ways to improve learning and teaching at universities by analyzing whether the application of new technologies would facilitate the implementation of an effective teaching-learning format in which students write essays and are given feedback.
openaire  

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learning

Scientific Reports
Endoscopy, a widely used medical procedure for examining the gastrointestinal (GI) tract to detect potential disorders, poses challenges in manual diagnosis due to non-specific symptoms and difficulties in accessing affected areas.
Han Guo, Sai Ashish Somayajula, Ramtin Hosseini, Pengtao Xie   +3 more
doaj   +1 more source

A 3D CNN Prediction of Cerebral Aneurysm in the Bifurcation Region of Interest in Magnetic Resonance Angiography

Applied Sciences
Quantitative vascular analysis involves the measurements of arterial tortuosity and branch angle in a region of interest in cerebral arteries to assess vascular risks associated with cerebral aneurysm. The measurements themselves are not a simple process
Jeong-Min Oh, Chae-Un Yu, Ji-Woo Kim, Hyeongjae Lee, Yunsung Lee, Yoon-Chul Kim   +5 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Pixel-Level Segmentation of Retinal Breaks in Ultra-Widefield Fundus Images with a PraNet-Based Machine Learning Model

Sensors
Retinal breaks are critical lesions that can cause retinal detachment and vision loss if not detected and treated early. Automated, accurate delineation of retinal breaks in ultra-widefield fundus (UWF) images remains challenging.
Takuya Takayama, Tsubasa Uto, Taiki Tsuge, Yusuke Kondo, Hironobu Tampo, Mayumi Chiba, Toshikatsu Kaburaki, Yasuo Yanagi, Hidenori Takahashi   +8 more
doaj   +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu, Changgeng Song, Dianwei Wu, Xiaoqian Niu, Jianmin Hao, Lijuan Liu, Xiaogang Kang, Wen Jiang   +7 more
wiley   +1 more source

Flood Status Prediction Based on Water Level Data Using Machine Learning Models

Journal of Applied Informatics and Computing
Flooding is one of the hydrometeorological disasters that frequently occurs in Indonesia and causes various social and economic losses. This study aims to compare the performance of five machine learning algorithms, namely Random Forest, Extreme Gradient
Aisyah Putri Widyastuti, Sindhu Rakasiwi
doaj   +1 more source

Remittances and household expenditure patterns in Tajikistan: A propensity score matching analysis [PDF]

The object of this article is to assess the impact of remittances on household expenditure patterns in Tajikistan. More specifically, the paper applies propensity score matching methods to the 2003 Tajikistan Living Standards Measurement Survey.
Matthieu CLEMENT (GREThA, CNRS, UMR 5113)
core  

Multimodal biometrics score level fusion using non-confidence information [PDF]

, 2011
Multimodal biometrics refers to automatic authentication methods that depend on multiple modalities of measurable physical characteristics. It alleviates most of the restrictions of single biometrics.
Chaw Poh, C
core