On deferred I-statistical rough convergence of difference sequences in neutrosophic normed spaces [PDF]
Neutrosophic Sets and SystemsIn this study, using the concepts of deferred density and the notion of the ideal I, we extend the idea of rough convergence by introducing the notion of deferred I–statistical rough convergence via difference operators in the framework of neutrosophic ...
Mukhtar Ahmad +2 more
doaj +1 more source
ROUGH I2-STATISTICAL CONVERGENCE IN CONE METRIC SPACES IN CERTAIN DETAILS
, 2023 The purpose of this work is to look at rough I2-statistical con-vergence as an extension of rough convergence in a cone metric space (briefly CMS).
Demirci, Isil Acik +3 more
core +1 more source
IEEE Access, 2019 It is very interesting and important to determine the function model for remote-sensing data. The existing statistical and artificial intelligence models still have some defects.
Changan Yuan +4 more
doaj +1 more source
Lacunary statistical convergence of rough triple sequence via ideals
, 2023 In this paper, we have introduced the notion of the lacunary I-statistical convergence of triple sequences for rough variables. In addition, we have defined lacunary I-statistical Cauchy sequence of rough variables in trust space and given the lacunary I-
Ekrem Savaş +5 more
core +1 more source
Reliability problem of extreme value statistical inference for hydrology and meteorology
Shui kexue jinzhan, 2012 This paper discusses the unreliability of extreme value statistical inference,its presentation,causes and ways of improving the reliability,practical methods and reliability evaluation.It advances the possibility of applying the phenomenon of super ...
DONG Shuang-lin
doaj +1 more source
A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model for Analyzing Innovative Performance of Agricultural Technology Enterprises in the Digital Economy [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel mathematical framework that integrates hybrid probabilistic-neutrosophic logic with adaptive rough ideal statistical convergence (AR-I st) to model and analyze the dynamic performance of innovative agricultural technology ...
Hongyan Xie
doaj +1 more source
BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells
FEBS Open Bio, EarlyView.BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
ROUGH ΔI2-STATISTICAL CONVERGENCE OF DOUBLE SEQUENCES IN NORMED LINEAR SPACES [PDF]
, 2020 In this paper, we introduce rough ?I2-statistical convergence as an extension of rough convergence. We define the set of rough ?I2-statistical limit points of a sequence and analyze the results with proofs.
Unal, Hatice Kubra, Kişi, Ömer
core +1 more source
Rough statistical convergence in intuitionistic fuzzy normed spaces
Filomat, 2021 In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization in the field of statistical convergence. We have proved some properties related to rough convergence which provides some new functional tools in the situation of uncertainty like intuitionistic fuzzy normed ...
Reena Antal +2 more
openaire +2 more sources