Results 201 to 210 of about 3,837,977 (302)

Quantifying Randomness in Stochastic Bit Sequences. [PDF]

Sensors (Basel)
Lange C, Ahrens A, Krishnakumar YK, Engert D, Yin M.   +4 more
europepmc   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Numerical analysis of diaphragm wall behavior in a jet-grouted deep excavation: a random field case study. [PDF]

Sci Rep
Nguyen HH, Le TN.
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

Size-Effect-Based Forming Behavior and Multi-Objective Die Optimization of Metallic Fuel Cell Bipolar Plates. [PDF]

Materials (Basel)
Zhu J, Liu S, Ma C, Wang S, Cheng Y, Wang T, Zhong J, Yang Y, Xu F.   +8 more
europepmc   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network. [PDF]

Sci Rep
Peng W, Zhang Z, Tian Z, Zhang J, Zeng G.   +4 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

Tolerance Inversion for Lens Support Loads Based on Feature-Enhanced Active-Learning Gaussian Process Regression. [PDF]

Micromachines (Basel)
Liu J, Li S, Kang X, Xian S, Zhou J, Liu J.   +5 more
europepmc   +1 more source