Results 151 to 160 of about 8,287,486 (375)

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci   +6 more
wiley   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

Computational social science with confidence

EPJ Data Science
There is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is tremendously exciting in that we are moving beyond exploration, towards a fuller integration with theory
Carolina E. S. Mattsson
doaj   +1 more source

Understanding Mechanisms of Whole Brain and Regional Grey Matter Atrophy in Children With MOGAD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the mechanisms driving whole brain and regional grey matter (GM) volume changes along with their clinical correlates in paediatric myelin oligodendrocyte glycoprotein antibody (MOG‐Ab)–associated disease (MOGAD). Methods One‐hundred‐nine paediatric MOGAD patients from two UK centres underwent MRI at attack nadir and ...
Ermelinda De Meo, Riccardo Nistri, Michael Eyre, Cheryl Hemingway, Ming Lim, Thomas Rossor, Asthik Biswas, Kshitij Mankad, Ata Siddiqui, Sniya Sudhakar, Declan Chard, Frederik Barkhof, Arman Eshaghi, Olga Ciccarelli, Yael Hacohen   +14 more
wiley   +1 more source

Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. [PDF]

J Comput Sci, 2020
Cardoso PJS, Rodrigues JMF, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Dongarra J, Sloot PMA.   +7 more
europepmc   +1 more source

Computational science as an interdisciplinary bridge [PDF]

, 1999
G. Schneider
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Teaching computational science in a liberal arts environment [PDF]

, 1998
G. Schneider, Daniel Schwalbe, Thomas Halverson   +2 more
openalex   +1 more source

Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath, Bernard Twum Agyeman, Soumya Ranjan Sahoo, Xunyuan Yin, Jinfeng Liu   +4 more
wiley   +1 more source

Categorical Data Integration for Computational Science [PDF]

Computational materials science, 2019
Kristopher Brown, David I. Spivak, Ryan Wisnesky   +2 more
semanticscholar   +1 more source