Results 51 to 60 of about 4,245 (97)

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

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

Networked e-Learning: The changing facilitator – learner relationship, a facilitators’ perspective; A Phenomenological Investigation

Seminar.net, 2017
This phenomenological case study investigates the lived experiences of a group of virtual learning environment (VLE) postgraduate academic facilitators at Irish Universities where they have indicated that the nature of their relationship with learners is
Chris O’ Toole
doaj  

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

An Autoethnographic Study of the Use of Mobile Devices to Support Foreign Language Vocabulary Learning

Studies in Self-Access Learning Journal, 2013
This autoethnographic study involved the author in the dual role of researcher and subject in a self-study language learning episode. The paper describes a foreign language learning experience of using a mobile phone (Apple iPhone) word card application ...
Mark Osborne
doaj  

What Faculty and Students Value When Evaluating Human Digital Anatomy Platforms: A Mixed-Methods Study

Journal of Medical Education and Curricular Development
OBJECTIVES There is an increasing availability of digital technologies for teaching and learning of human anatomy. Studies have shown that such applications allow for better spatial awareness than traditional methods.
Jason Wen Yau Lee, Johan Susanto, Siang Hui Lai, Peng Chung Cheow, Li Xiang Tessa Low, Fernando Bello   +5 more
doaj   +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

Understanding teachers’ multimodal TPACK literacies for supporting VR-based self-directed learning of L1 writing

Educational Technology & Society
Self-directed learning (SDL) is acknowledged as an effective language learning paradigm because learning a language is time-consuming. As language and literacy education is now embracing a more multimodal approach in writing instruction, teachers ...
Michael Yi-Chao Jiang, Morris Siu-Yung Jong, Ching-Sing Chai   +2 more
doaj   +1 more source

Systematic Review of the Literature on Interventions to Improve Self-Regulation of Learning in First-Year University Students

Education Sciences
Previous research has shown a significant percentage of dropouts in university studies, particularly in the first years. Furthermore, evidence links higher motivation and curricular improvement in students when they enhance their self-regulated learning (
David Simón-Grábalos, David Fonseca, Marian Aláez, Susana Romero-Yesa, Carlos Fresneda-Portillo   +4 more
doaj   +1 more source

Negotiating University, Fulfilling the Dream: The Case of Black Students

Genealogy
The experiences of Black students in Canadian higher education shed light on the societal and institutional challenges that influence their social and economic aspirations.
Carl E. James, Michael Asres
doaj   +1 more source