Results 81 to 90 of about 8,017 (310)
Beyond p‐values: Assessing clinical significance in acupuncture research
Abstract In acupuncture randomized controlled trials (RCTs), the proper interpretation of results requires a thorough understanding of key statistical concepts such as p‐value, effect size, and the minimal clinically important difference (MCID). This paper explores the relationships among these metrics and their implications for assessing the clinical ...
Changzhen Gong
wiley +1 more source
Regular Attractor by Strict Lyapunov Function for Random Dynamical Systems
The main objective of this paper is to study some types of random attractors in random dynamical systems based on the random strict Lyapunov function.
Hind Adnan Hashim
doaj +1 more source
Cross-attractor modeling of resting-state functional connectivity in psychiatric disorders
Resting-state functional connectivity (RSFC) is altered across various psychiatric disorders. Brain network modeling (BNM) has the potential to reveal the neurobiological underpinnings of such abnormalities by dynamically modeling the structure-function ...
Yinming Sun+2 more
doaj
A minimal approach to the theory of global attractors
For a semigroup $S(t):X\to X$ acting on a metric space $(X,d)$, we give a notion of global attractor based only on the minimality with respect to the attraction property. Such an attractor is shown to be invariant whenever $S(t)$ is asymptotically closed.
V. V. Chepyzhov+2 more
openaire +3 more sources
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Pathway Analyses of Inherited Neuropathies Identify Putative Common Mechanisms of Axon Degeneration
ABSTRACT Objective Inherited neuropathies (IN) are associated with over 100 different genetic mutations presenting with a variety of phenotypes. This complexity suggests multiple pathways may converge onto a limited number of downstream pathways to effect axonal injury.
Christopher R. Cashman+2 more
wiley +1 more source
Global Attractor for Partial Functional Differential Equations with State-Dependent Delay
This work aims to investigate the existence of global attractors for a class of partial functional differential equations with state-dependent delay. Using the classic theory about global attractors in infinite dimensional dynamical systems, we obtain ...
Zhimin He, Bo Du
doaj +1 more source
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone+19 more
wiley +1 more source
Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing+4 more
wiley +1 more source
Time-Dependent Global Attractor for a Class of Nonclassical Parabolic Equations
Based on the recent theory of time-dependent global attractors in the works of Conti et al. (2013) and di Plinio et al. (2011), we prove the existence of time-dependent global attractors as well as the regularity of the time-dependent global attractor ...
Fang-hong Zhang
doaj +1 more source