Results 51 to 60 of about 30,351 (151)
Optimal control combines state and adjoint equations, which yield the state (x$$ x $$) and adjoint (lambda) variables as a function of the control variables (u$$ u $$). This structure allows us to design strategies for iteratively updating the control variable, based on conjugate gradient (CG) or GMRES algorithms.
N. Armengou‐Riera +4 more
wiley +1 more source
Treatment of pediatric epilepsy
Anti‐seizure medications are the first‐line treatment for the vast majority of children with epilepsy, with the advantages of non‐invasive wide adaptability. Surgery is the main treatment for drug‐resistant epilepsy and lesion‐related epilepsy, which can cure some cases of epilepsy in children. A ketogenic diet is often an add‐on therapy.
Junxiao Li +8 more
wiley +1 more source
Spacetime deployments parametrized by gravitational and electromagnetic fields
On the basis of a "Punctual" Equivalence Principle of the general relativity context, we consider spacetimes with measurements of conformally invariant physical properties.
Grandou, Thierry, Rubin, Jacques L.
core +1 more source
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams +4 more
wiley +1 more source
Forward-backward SDEs with distributional coefficients
Forward-backward stochastic differential equations (FBSDEs) have attracted significant attention since they were introduced almost 30 years ago, due to their wide range of applications, from solving non-linear PDEs to pricing American-type options. Here,
Issoglio, Elena, Jing, Shuai
core
Adaptive Sliding‐Mode Control of a Perturbed Diffusion Process With Pointwise In‐Domain Actuation
ABSTRACT A sliding mode–based adaptive control law is proposed for a class of diffusion processes featuring a spatially‐varying uncertain diffusivity and equipped with several point‐wise actuators located at the two boundaries of the spatial domain as well as in its interior.
Paul Mayr +3 more
wiley +1 more source
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley +1 more source
ABSTRACT Background Schizophrenia is characterized by positive, negative, and cognitive symptoms. Current pharmacological treatments often fail to address cognitive deficits. In this review of clinical trials, we aim to identify studies that explore neurobiological (non‐psychological) strategies to address Cognitive Impairment Associated with ...
Bahareh Peyrovian +3 more
wiley +1 more source
Evaluation of preclinical antipsychotic models used to support first‐in‐human clinical trials
Abstract Schizophrenia is regarded as a complex and heterogeneous psychiatric disorder, characterised by diverse symptoms and comorbidities, which complicate both clinical management and drug development. Current pharmacological treatment, primarily based on dopamine D2 receptor antagonism or partial agonism, which has not markedly progressed since the
Thi Viet Ha Nguyen +2 more
wiley +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source

