Results 121 to 130 of about 255,850 (308)

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

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto, Umberto Pensato, Ilaria Casetta, Giorgio U. Marcello, Angelo Barra, Anna Poggesi, Edoardo Carlesi, Sara Mancini, Andrea Ginestroni, Vittorio Miele, Alessandro Padovani, Andrea Morotti, Enrico Fainardi   +12 more
wiley   +1 more source

Enhanced Heterogeneous Graph Attention Network with a Novel Multilabel Focal Loss for Document-Level Relation Extraction

Entropy
Recent years have seen a rise in interest in document-level relation extraction, which is defined as extracting all relations between entities in multiple sentences of a document. Typically, there are multiple mentions corresponding to a single entity in
Yang Chen, Bowen Shi
doaj   +1 more source

Improvement of inter-layer motion prediction in scalable video coding

, 2007
In this letter, we propose an enhanced method for interlayer motion prediction in scalable video coding (SVC). For inter-layer motion prediction, the use of refined motion data in the Fine Granular Scalability (FGS) layer is proposed instead of the ...
Bae, TM, Thang, TC, Ro, YongMan
core   +1 more source

Impact of Plasma p‐tau181 on Cognition, Motor Phenotypes, and Disease Course in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Phosphorylated tau181 (p‐tau181), an Alzheimer's disease biomarker, was recently evaluated in amyotrophic lateral sclerosis (ALS). We investigated plasma p‐tau181 in 202 ALS/ALS‐FTD patients and 94 healthy controls, assessing cognitive performance, motor function, and longitudinal dynamics.
Elisabeth Kasper, Annaliis Lehto, Nina Nordmann, Oliver Peters, Julian Hellmann, Josef Priller, Eike Jakob Spruth, Gabor C. Petzold, Ina Vogt, Patrick Weydt, Sarah Bernsen, Elisabeth Dinter, Björn Falkenburger, René Günther, Emrah Düzel, Wenzel Glanz, Matthis Synofzik, Lukas Beichert, Annika Spottke, Michael Wagner, Frederic Brosseron, Matthias C. Schmid, Anja Schneider, Stefan Teipel, Johannes Prudlo, Andreas Hermann   +25 more
wiley   +1 more source

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

Improving transmembrane protein consensus topology prediction using inter-helical interaction

, 2012
Alpha helix transmembrane proteins (αTMPs) represent roughly 30% of all open reading frames (ORFs) in a typical genome and are involved in many critical biological processes.
Zhang, Chao, Zhang, Li, Zhou, You, Shi, Xiaohu, Wang, Han   +4 more
core   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Risk evaluation and prediction of inter-well interference in shale gas wells based on machine learning

Youqicang pingjia yu kaifa
During the rolling development of shale gas reservoirs, fracturing of new wells can easily cause inter-well interference with neighboring wells, severely affecting the development performance of both existing and new wells.
QIN JIAZHENG, HE ZHIYUE, TANG YONG, DUAN SHENGCAI, LONG JICHANG, TANG KAI, WANG HAO, HU SHILAI, LONG KEJI   +8 more
doaj  

4. Inter Prediction

The Journal of The Institute of Image Information and Television Engineers, 2021
openaire   +1 more source