Results 101 to 110 of about 791,258 (282)

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin, S. H. Subramony, the READISCA Consortium, David E. Vaillancourt, Tetsuo Ashizawa, Alexandra Durr, Thomas Mareci, Thomas Klockgether, Jennifer Faber, Henry L. Paulson, Gülin Öz, Matthew R. Burns   +11 more
wiley   +1 more source

All class S $$ \mathcal{S} $$ theories of type-A originate from orbi-instantons

Journal of High Energy Physics
A surprising relation between 4d N $$ \mathcal{N} $$ = 2 class S $$ \mathcal{S} $$ superconformal field theories of Type-A and 6d N $$ \mathcal{N} $$ = (1, 0) orbi-instanton theories is investigated.
Simone Giacomelli, William Harding, Noppadol Mekareeya, Alessandro Mininno   +3 more
doaj   +1 more source

Analytic Euclidean bootstrap

Journal of High Energy Physics, 2019
We solve crossing equations analytically in the deep Euclidean regime. Large scaling dimension ∆ tails of the weighted spectral density of primary operators of given spin in one channel are matched to the Euclidean OPE data in the other channel ...
Baur Mukhametzhanov, Alexander Zhiboedov
doaj   +1 more source

Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova, Teresa Fazia, Giovanni Di Caprio, Davide Gentilini, Luisa Bernardinelli, Roberto Bergamaschi   +5 more
wiley   +1 more source

O(N) and O(N) and O(N)

, 2017
Three related analyses of $\phi^4$ theory with $O(N)$ symmetry are presented. In the first, we review the $O(N)$ model over the $p$-adic numbers and the discrete renormalization group transformations which can be understood as spin blocking in an ...
Gubser, Steven S., Jepsen, Christian, Parikh, Sarthak, Trundy, Brian   +3 more
core   +1 more source

Central Dysmyelination in SSADH‐Deficient Humans and Mice

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Succinic semialdehyde dehydrogenase deficiency (SSADHD) is an inherited metabolic disorder characterized by an accumulation of γ‐aminobutyric (GABA). In addition to its synaptic role as an inhibitory neurotransmitter, GABA also plays an important role in myelination.
Itay Tokatly Latzer, Henry H. C. Lee, Edward Yang, Cesar Alves, Mariarita Bertoldi, Caitlyn Fung, Spencer V. Steele, Eren Kule, Zijie Jin, Alexander Rotenberg, Jean‐Baptiste Roullet, Phillip L. Pearl   +11 more
wiley   +1 more source

Entanglement entropy in generalised quantum Lifshitz models

Journal of High Energy Physics, 2019
We compute universal finite corrections to entanglement entropy for generalised quantum Lifshitz models in arbitrary odd spacetime dimensions. These are generalised free field theories with Lifshitz scaling symmetry, where the dynamical critical exponent
J. Angel-Ramelli, V. Giangreco M. Puletti, L. Thorlacius   +2 more
doaj   +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

The structure of maximally supersymmetric Yang-Mills theory: constraining higher-order corrections

, 2001
We solve the superspace Bianchi identities for ten-dimensional supersymmetric Yang-Mills theory without imposing any kind of constraints apart from the standard conventional one. In this way we obtain a set of algebraic conditions on certain fields which
Cederwall, Martin, Nilsson, Bengt E. W., Tsimpis, Dimitrios   +2 more
core   +1 more source

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source