Results 101 to 110 of about 3,633,928 (292)
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source
Statistical Convergence Sequences in Neutrosophic Metric Spaces [PDF]
In this study, motivated by the notion of statistical convergence in intuitionistic fuzzy metric space, we present the ideas of statistical convergence and cauchy sequences with regard to the neutrosophic metric spaces.
J. Johnsy , M. Jeyaraman
doaj +1 more source
Characterizations of strong and statistical convergences
Summary: The two main objectives of the paper are firstly to cast the concept of \(A\)-uniform integrability in the measure-theoretic sense, leading to showing that a sequence is \(A\)-strongly convergent if and only if it is \(A\)-statistically convergent and it is \(A\)-uniformly integrable.
Khan, Mohammad Kazim, Orhan, Cihan
openaire +2 more sources
Panel Data Stochastic Convergence Analysis of the Mexican Regions [PDF]
The stochastic convergence amongst Mexican Federal entities is analyzed in panel data framework. The joint consideration of cross-section dependence and multiple structural breaks is required to ensure that the statistical inference is based on ...
Vicente German-Soto +1 more
core
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
On the Generalized Weighted Statistical Convergence
Statistical convergence and summability represent a significant generalization of traditional convergence for sequences of real or complex values, allowing for a broader interpretation of convergence phenomena. This concept has been extensively examined by numerous researchers using various mathematical tools and applied to different mathematical ...
Çiğdem Bektaş, Erdal Bayram
openaire +2 more sources
The T-statistically convergent sequences are not an FK-space
In ths note show that under certain restrictions on a nonnegative regular summability matrix T, the space of T-statistically convergent sequences cannot be endowed with locally convex FK topology.
Jeannette Kline
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
I_2-Lacunary statistical convergence of double sequences of sets [PDF]
In this paper, we introduce the concepts of the Wijsman I2-statistical convergence, Wijsman I2-lacunary statistical convergence and Wijsman strongly I2-lacunary convergence of double sequences of sets and investigate the relationship between ...
Dündar, Erdinç +2 more
core +1 more source
Strongly almost summable sequences of order a
In this paper, we introduce the concept statistical convergence of order . Also some relations between -statistical convergence of order and strong -summability of order are given. Furthermore some relations between the spaces and are examined.
MİKAİL ET, RİFAT ÇOLAK, YAVUZ ALTIN
doaj

