Results 81 to 90 of about 347,242 (278)

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum

open access: yesNeuroImage, 2022
Diffusion MRI measures of the human brain provide key insight into microstructural variations across individuals and into the impact of central nervous system diseases and disorders.
Qianqian Yang   +2 more
doaj   +1 more source

On the critical point of the Random Walk Pinning Model in dimension d=3 [PDF]

open access: yes, 2009
We consider the Random Walk Pinning Model studied in [3,2]: this is a random walk X on Z^d, whose law is modified by the exponential of \beta times L_N(X,Y), the collision local time up to time N with the (quenched) trajectory Y of another d-dimensional ...
Berger, Q., Toninelli, F.
core   +3 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

The strong interaction limit of continuous-time weakly self-avoiding walk

open access: yes, 2011
The strong interaction limit of the discrete-time weakly self-avoiding walk (or Domb--Joyce model) is trivially seen to be the usual strictly self-avoiding walk.
Brydges, David C.   +2 more
core   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein   +13 more
wiley   +1 more source

Multisolution Analysis Time Series Data and RUL Estimate

open access: yesChemical Engineering Transactions, 2013
The model and algorithm for RUL estimation of the rotating machinery is constructed. RUL estimates are presented analytically. Random walk model of finite segments of the wavelet coefficients of observed signal is considered as the original model.
A. Khodos, A. Kirillov, S. Kirillov
doaj   +1 more source

A novel multi-label classification algorithm based on -nearest neighbor and random walk

open access: yesInternational Journal of Distributed Sensor Networks, 2020
The multi-label classification problem occurs in many real-world tasks where an object is naturally associated with multiple labels, that is, concepts.
Zhen-Wu Wang   +3 more
doaj   +1 more source

Continuous-time random walk theory of superslow diffusion

open access: yes, 2010
Superslow diffusion, i.e., the long-time diffusion of particles whose mean-square displacement (variance) grows slower than any power of time, is studied in the framework of the decoupled continuous-time random walk model.
Denisov, S. I., Kantz, H.
core   +1 more source

Dephasing by a continuous-time random walk process [PDF]

open access: yesPhysical Review E, 2012
Stochastic treatments of magnetic resonance spectroscopy and optical spectroscopy require evaluations of functions like , where t is time, Q(s) is the value of a stochastic process at time s, and the angular brackets denote ensemble averaging. This paper gives an exact evaluation of these functions for the case where Q is a continuous-time random walk ...
Packwood, Daniel M, Tanimura, Yoshitaka
openaire   +3 more sources

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