Results 61 to 70 of about 305 (210)

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

The Mediating Role of Resilience between Dyadic Perceived Social Support and Depression at the Older Adults with Disabilities and their Family Caregivers in China: An Actor–Partner Interdependence Model Extended to Mediation

Asian Nursing Research
Purpose: The goal of this study is to investigate the actor and partner effects of perceived social support and depression in older adults with disabilities and their family caregivers and to investigate the mediating role of resilience in the actor and ...
Huixian Chen, Yi Fang, Linlin Ma, Wen Jiang, Fen Luo, Shuya Cai, Zhi Li, Liyan Fu, Zhiqin Yin   +8 more
doaj   +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

RLHNN: a reinforcement learning-enhanced hybrid neural network for public opinion short text classification [PDF]

PeerJ Computer Science
The widespread use of social media has led to the rapid generation of opinion-rich short texts, posing increasingly complex and high-variance challenges for public discourse analysis.
Hao Wei, Zongyu Zhang, Hongyue Diao
doaj   +2 more sources

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

A Triadic Actor View of Value Co-creation in Business Incubation

Technology Innovation Management Review, 2020
In this paper we view an incubator as a service entity that may take different forms. We contribute to the literature by exploring the utility of the service-dominant logic (SDL) paradigm (Vargo & Lusch, 2016) to better understand incubation ...
Ronald Beckett, John Dalrymple
doaj   +1 more source

Modeling and Building IoT Data Platforms with Actor-Oriented Databases.

, 2019
Vast amounts of data are being generated daily with the adoption of Internet-of-Things (IoT) solutions in an ever-increasing number of application domains. There are problems associated with all stages of the lifecycle of these data (e.g., capture, curation and preservation).
Yiwen Wang 0007, Júlio Cesar dos Reis, Kasper Myrtue Borggren, Marcos Antonio Vaz Salles, Claudia Bauzer Medeiros, Yongluan Zhou   +5 more
openaire   +3 more sources

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

To push for stardom or not: A rookie’s dilemma in the Tamil movie industry

IIMB Management Review, 2010
There is a trend today among successful rookies (SRs) in the Indian Tamil film industry to try to get on a fast track to stardom, running the risk of failure or being replaced with a new entrant. The study examines the rationale for this, and the options
Trichy V. Krishnan, A.M. Sakkthivel
doaj   +1 more source

The Development of Rheumatoid Arthritis‐Specific Ambulatory Care Sensitive Conditions: Results of a Consensus Process

Arthritis Care &Research, Accepted Article.
Objective Ambulatory care sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin, Candace H. Feldman, Claire E.H. Barber, Gabriel Fabreau, Jake Jennings, Scott Patten, Cheryl Barnabe, Inflammatory Arthritis‐Specific ACSC Consensus Process Working Group   +7 more
wiley   +1 more source