Results 141 to 150 of about 485,127 (266)

Risk assessment of mountain tunnel collapse under complex geological conditions. [PDF]

Sci Rep
Lu S, Lu Z, Xu S, Wang R.
europepmc   +1 more source

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

Particle peak velocity prediction based on risk-oriented hybrid ensemble learning. [PDF]

Sci Rep
Ge L, He J, Zhang Z, Yin L, Jia S, Zhao Y.   +5 more
europepmc   +1 more source

Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket, J. Lycke, J. Salzer, F. Piehl, K. Fink, N. Lange, J. Mellergård, C. Malmeström, P. Sundström, I. Erngren, A. al‐Grety, E. Freyhult, K. Kultima, J. Burman, A. Svenningsson   +14 more
wiley   +1 more source

Integration of intraoperative data in interpretable machine learning models to predict postoperative AKI in noncardiac surgery patients. [PDF]

JAMIA Open
Do J, Shah KH, Xu MC, Kim AH, Suresh V, Guggilla N, Li M, Kothari R.   +7 more
europepmc   +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

Prioritizing Conservation of Trailing-Edge Populations for Future Climate-Resilient Forests. [PDF]

Glob Chang Biol
Boyce N, Hamann A, Dorrell G, Nielsen SE.   +3 more
europepmc   +1 more source

Aftershocks in engineering seismic risk analysis.

, 1973
Massachusetts Institute of Technology. Dept. of Civil Engineering. Thesis. 1973. M.S. ; MICROFICHE COPY ALSO AVAILABLE IN BARKER ENGINEERING LIBRARY. ; Includes bibliographical references. ; M.S.
openaire   +1 more source

Compound Heterozygote Friedreich Ataxia Patients With Covert Proximal FXN Gene Deletions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present Friedreich ataxia patients with frataxin gene deletions. Data and records were collected at the Children's Hospital of Philadelphia from patients enrolled in the FACOMS natural history study. Patients with proximal deletions initially diagnosed with only one GAA expanded allele had more severe disease than their homozygous expansion
Michael P. Lazaropoulos, Morgan C. Devore, Christina Lam, Courtney Park, Sanjay Bidichandani, David R. Lynch   +5 more
wiley   +1 more source

Artificial intelligence approaches in biological age prediction: current status and challenges. [PDF]

Br J Biomed Sci
Wang G, Ding P, Li Z, Tang Q, Tu L, Jiang T, Zhang L, Su B, Xu J, An H.   +9 more
europepmc   +1 more source