Results 81 to 90 of about 90,397 (281)

Computing Distances between Probabilistic Automata

open access: yes, 2011
We present relaxed notions of simulation and bisimulation on Probabilistic Automata (PA), that allow some error epsilon. When epsilon is zero we retrieve the usual notions of bisimulation and simulation on PAs.
Abir Zhioua   +28 more
core   +2 more sources

Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma   +9 more
wiley   +1 more source

The nonlinear contraction in probabilistic cone b-metric spaces with application to integral equation

open access: yesNonlinear Analysis
The probabilistic cone b-metric space is a novel concept that we describe in this study along with some of its fundamental topological properties and instances.
Youssef Achtoun   +3 more
doaj   +1 more source

Probabilistic (Quasi)metric Versions for a Stability Result of Baker

open access: yesAbstract and Applied Analysis, 2012
By using the fixed point method, we obtain a version of a stability result of Baker in probabilistic metric and quasimetric spaces under triangular norms of Hadžić type. As an application, we prove a theorem regarding the stability of the additive Cauchy
Dorel Miheţ, Claudia Zaharia
doaj   +1 more source

A Discussion on Random Meir-Keeler Contractions

open access: yesMathematics, 2020
The aim of this paper is to enrich random fixed point theory, which is one of the cornerstones of probabilistic functional analysis. In this paper, we introduce the notions of random, comparable MT- γ contraction and random, comparable Meir ...
Cheng-Yen Li   +2 more
doaj   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang   +22 more
wiley   +1 more source

Exploring multivalued probabilistic ψ-contractions with orbits in b-Menger spaces

open access: yesVojnotehnički Glasnik
Introduction/purpose: The paper presents a novel approach to certain well-established fixed point theorems for multivalued probabilistic contractions in b-Menger spaces, leveraging the boundedness of the orbits.
Youssef Achtoun   +3 more
doaj   +1 more source

n-Tuplet Coincidence Point Theorems in Partially Ordered Probabilistic Metric Spaces

open access: yesJournal of Function Spaces, 2018
In this paper, we investigate existence of n-tuplet coincidence point theorems in partially ordered probabilistic metric spaces. Also, we gave uniqueness of n-tuplet fixed point theorems in this space.
Arife Aysun Karaaslan, Vatan Karakaya
doaj   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown   +6 more
wiley   +1 more source

Network Transfer Entropy and Metric Space for Causality Inference

open access: yes, 2013
A measure is derived to quantify directed information transfer between pairs of vertices in a weighted network, over paths of a specified maximal length. Our approach employs a general, probabilistic model of network traffic, from which the informational
Banerji, Christopher R. S.   +2 more
core   +1 more source

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