Results 31 to 40 of about 30,351 (151)

Inherited metabolic epilepsies–established diseases, new approaches

Epilepsia Open, EarlyView.
Abstract Inherited metabolic epilepsies (IMEs) represent the inherited metabolic disorders (IMDs) in which epilepsy is a prevailing component, often determining other neurodevelopmental outcomes associated with the disorder. The different metabolic pathways affected by individual IMEs are the basis of their rarity and heterogeneity.
Itay Tokatly Latzer, Phillip L. Pearl
wiley   +1 more source

Multidimensional stochastic differential equations with distributional drift [PDF]

, 2014
This paper investigates a time-dependent multidimensional stochastic differential equation with drift being a distribution in a suitable class of Sobolev spaces with negative derivation order.
Elena Issoglio, Elena Issoglio, Elena Issoglio, Francesco Russo, Francesco Russo, Franco Fl, Franco Fl, Franco Flandoli, Hal Id Hal   +8 more
core   +5 more sources

Precision therapies for genetic epilepsies in 2025: Promises and pitfalls

Epilepsia Open, EarlyView.
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang, Emilio Perucca, Samuel F. Berkovic, Piero Perucca   +3 more
wiley   +1 more source

Advection‐Pressure Splitting Schemes Applied to a Non‐Conservative 1D Blood Flow Model With Transport for Arteries and Veins

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo, Eleuterio F. Toro, Annunziato Siviglia, Lucas O. Müller   +3 more
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source

Multiscale expansions of difference equations in the small lattice spacing regime, and a vicinity and integrability test. I

, 2009
We propose an algorithmic procedure i) to study the ``distance'' between an integrable PDE and any discretization of it, in the small lattice spacing epsilon regime, and, at the same time, ii) to test the (asymptotic) integrability properties of such ...
, Ablowitz M J, Ablowitz M J, Aglietti U Santini P M, Aglietti U Santini P M Scimiterna C, Bakirova M I, Benney D J, Bourlioux A, Calogero F, Calogero F, Calogero F, Calogero F, Cole J D, Degasperis A, Degasperis A, Fokas A S, Kodama Y, Konopelchenko B, Korteweg D J, Levi D, Mikhailov A V, Paolo Maria Santini, Pelinovski D, Scimiterna C, Scimiterna C, Sokolov V V, Valiquette F, Winternitz P, Yamilov R I, Zakharov V E, Zakharov V E, Zakharov V E, Zakharov V E, Zakharov V E   +33 more
core   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

Heat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

Journal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

Exotic heat PDE's [PDF]

, 2010
Exotic heat equations that allow to prove the Poincar\'e conjecture, some related problems and suitable generalizations too are considered. The methodology used is the PDE's algebraic topology, introduced by A.
Prástaro, Agostino
core   +1 more source

Clinical Efficacy and Safety of Topical Roflumilast in Psoriasis: An Updated Systematic Review and Meta‐Analysis of Randomized Controlled Trials

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Traditional first‐line topical treatments for plaque psoriasis, particularly corticosteroids and vitamin D analogs, frequently have only limited efficacy for long‐term use, and present difficulties with safety and adherence. Objectives In this systematic review and meta‐analysis of randomized controlled trials (RCTs), we assessed ...
Aimal A. Khattak, Ahmed Javed, Ummi Aiman Rahman, Rumaisa Riaz, Zeeshan Imtiaz, Hassan A. Mirza, Farman U. Khan, Muhid Khattak, Fatima Javid, Abdul Moiz Khan, Adeline L. Roy, Bibek Shrestha   +11 more
wiley   +1 more source