Results 81 to 90 of about 8,084,029 (292)
Diabetes‐Associated Cognitive Impairment: Pathophysiology and Emerging Therapies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Diabetes‐associated cognitive impairment (DACI) is a common yet underrecognized condition, manifesting along a spectrum from mild cognitive impairment to dementia. DACI encompasses patients who develop vascular dementia (VaD) or Alzheimer's disease (AD) with diabetes as a risk factor; however, in certain patients, particularly those lacking ...
Osman Corbali +4 more
wiley +1 more source
Physics-informed neural network (PINNs) for convection equations in polymer flooding reservoirs
This paper realizes the application of the physics-informed neural network (PINN) in the polymer flooding reservoir model, achieving high-precision calculations of the water saturation and polymer concentration distributions in a one-dimensional polymer ...
Wei, Jun +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green +6 more
wiley +1 more source
Predicting micro-bubble dynamics with semi-physics-informed deep learning
AIP Advances, 2022 Utilizing physical information to improve the performance of the conventional neural networks is becoming a promising research direction in scientific computing recently.
Hanfeng Zhai, Quan Zhou, Guohui Hu
doaj +1 more source
Physics-Informed Neural Networks for Quantum Control
Physical Review LettersQuantum control is a ubiquitous research field that has enabled physicists to delve into the dynamics and features of quantum systems, delivering powerful applications for various atomic, optical, mechanical, and solid-state systems. In recent years, traditional control techniques based on optimization processes have been translated into efficient ...
Ariel Norambuena +3 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks +8 more
wiley +1 more source
Juvenile Huntington Disease With Cerebellar‐Predominant Atrophy Identified by Genome Sequencing
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Juvenile Huntington disease accounts for a small fraction of Huntington disease cases and is driven by the largest trinucleotide repeat expansions. We describe a 6‐year‐old boy with progressive global regression, generalized dystonia, and epilepsy, in whom serial imaging showed striking cerebellar‐predominant atrophy with an initially normal ...
Enrique Gonzalez Saez‐Diez +5 more
wiley +1 more source
AerospaceAccurate state estimation for quadrotors under wind-induced disturbances remains a critical challenge in dynamic outdoor environments. Existing model-based and data-driven approaches often struggle with real-time adaptation and catastrophic forgetting ...
Yanhui Liu +3 more
doaj +1 more source
Robust Variational Physics-Informed Neural Networks
Computer Methods in Applied Mechanics and EngineeringWe introduce a Robust version of the Variational Physics-Informed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a Petrov-Galerkin-type variational formulation of the PDE problem: the trial space is a (Deep) Neural Network (DNN) manifold, while the test space is a finite-dimensional vector space ...
Rojas, Sergio +4 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter +5 more
wiley +1 more source