Results 61 to 70 of about 95,337 (259)

Numerical Study on Statistical Characteristics of Developing Waves

Russian Journal of Earth Sciences
Long-term calculations of the evolution of three-dimensional waves ranging from the early stage to energy stabilization were made on the basis of a two-dimensional phase-resolving model.
Fokina Karina Vladimirovna, Chalikov Dmitriy Viktorovich   +1 more
doaj   +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

Direct Surface-wave Tomography from Ambient Noise in the Shanxi Rift Zone and Adjacent Areas

CT Lilun yu yingyong yanjiu
The Shanxi rift zone is one of the most active continental rift zones in the world. Obtaining a fine three-dimensionalS-wave velocity structure of the crust in this region helps understand the formation mechanism of continental rifts.
Hao ZHANG, Jianshe LEI, Xiaoyan SONG, Yue DENG   +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

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Three-dimensional Crustal Structure of the Namche Barwa Massif on the Basis of Travel-time Imaging of Body Waves

CT Lilun yu yingyong yanjiu
The Namche Barwa massif is located in the core area of the eastern Himalayan syntaxis. This area is located at the junction of the Eurasian plate, Indian plate and Myanmar block.
Minjuan LI, Xuzhang SHEN, Haiping MA, Baiyun LIU, Ting SONG, Jinrui LIU, Jiawei TAN, Xiao CHEN, Xiying DOU   +8 more
doaj   +1 more source

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

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

Troponin T and Neurofilament Light Chain Levels as Complementary Biomarkers of Disease Accumulation and Aggressiveness in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease requiring reliable biomarkers to improve patient stratification and trial design. While serum neurofilament light chain (sNfL) reflects neuroaxonal stress and disease aggressiveness, troponin T (TnT) may capture complementary aspects of ...
Julia Sellin, Sofia Waldorf, Janina von der Gablentz, Torsten Grehl, Huelya Nazlican, Thomas Meyer, Julian Grosskreutz, Patrick Weydt, Sarah Bernsen   +8 more
wiley   +1 more source

Research on Real Time Calculation Method of Flow Parameters in Rod Bundle Channels Base on Recurrent Neural Network

Yuanzineng kexue jishu
When solving physical field equations in deep learning, there are problems such as the lack of interpretability of the algorithm, the large amount of data required to train the models of the algorithm, the long training time, and the inability to modify ...
LI Xiangyu1, 2, XIE Heng1, 2
doaj   +1 more source