Results 81 to 90 of about 68,798 (306)

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

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data

IEEE Journal of Microwaves
This paper presents a deep learning-enabled method for human pose estimation using radar target lists, obtained through a low-cost radar system with three transmitters and four receivers in a multiple-input multiple-output setup. We address challenges in
Lukas Engel, Jonas Mueller, Eduardo Javier Feria Rendon, Eva Dorschky, Daniel Krauss, Ingrid Ullmann, Bjoern M. Eskofier, Martin Vossiek   +7 more
doaj   +1 more source

Current and future multimodal learning analytics data challenges

, 2017
Multimodal Learning Analytics (MMLA) captures, integrates and analyzes learning traces from different sources in order to obtain a more holistic understanding of the learning process, wherever it happens.
Ochoa, Xavier,, Prieto, Luis P.,, Marcelo Worsley, Bahtijar Vogel, Xavier Ochoa, Ruffaldi, Emanuele,, Vogel, Bahtijar,, Worsley, Marcelo,, Cukurova, Mutlu,, Luis P. Prieto, Ulla Lunde Ringtved, Ringtved, Ulla Lunde,, M. J. Rodríguez-Triana, Emanuele Ruffaldi, Daniel Spikol, Spikol, Daniel,, Mutlu Cukurova, Rodriguez-Triana, M. J.,   +17 more
core   +1 more source

Big Data Analytics = Machine Learning + Cloud Computing [PDF]

, 2016
27 pages, 23 figures. a Book Chapter in "Big Data: Principles and Paradigms, R. Buyya, R. Calheiros, and A. Dastjerdi (eds), Morgan Kaufmann, Burlington, Massachusetts, USA, 2016."
Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao   +2 more
openaire   +3 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space

IEEE Open Journal of Vehicular Technology
In autonomous driving, understanding the surroundings is crucial for safety. Since most object detection systems are designed to identify known objects, they may miss unknown or novel objects, which can be dangerous.
Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden   +3 more
doaj   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Machine Learning and Data Analytics for Cyber Security

The aim of this reprint is to provide an overview of the current challenges within the cyber security community today, as recognized by our contributors.

core   +1 more source

Performance of Machine Learning and Big Data Analytics paradigms in Cybersecurity and Cloud Computing Platforms [PDF]

, 2021
The purpose of the research is to evaluate Machine Learning and Big Data Analytics paradigms for use in Cybersecurity. Cybersecurity refers to a combination of technologies, processes and operations that are framed to protect information systems ...
Professor Gabriel Kabanda
core