White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
A HILS-Based Data-Driven Curtailment Weighting Control Framework for Wind Farm Operation
IEEE AccessThis paper proposes a HILS-based data-driven curtailment weighting control framework for wind farm operation under grid-imposed output constraints. The main objective of the proposed framework is to extract wind farm operating data from a real-time ...
Wonna Choi +4 more
doaj +1 more source
Biocatalysed synthesis planning using data-driven learning. [PDF]
Nat Commun, 2022 Probst D +5 more
europepmc +1 more source
A data-driven computational framework to provide deformable solids with the sense of touch [PDF]
, 2021 A data-driven, probabilistic, computational framework will be developed that provides a deformable solid with the sense of 'touch', so that it can detect the shape and mechanical behaviour of its environment.
HURTADO CATHALIFAUD, Diego Rene
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Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source
Network management complexity poses a significant challenge for dynamic prospicient grid environments. Methodologies integrating advanced machine learning techniques offer an opportunity to address these challenges.
Celik, Nurcin +2 more
core +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi +8 more
wiley +1 more source
DATA-DRIVEN LEARNING OF GEOMETRIC SCATTERING MODULES FOR GNNS. [PDF]
IEEE Int Workshop Mach Learn Signal Process, 2021 Tong A +4 more
europepmc +1 more source
Challenges Concerning Data-Driven Innovation [Elektronisk resurs]
, 2017 Digital transformation is highly relevant to most organisations in the business and the government sectors. One important aspect of digital transformation is the capability to exploit data in order to develop new services.
Göbel, Hannes, +2 more
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