Results 41 to 50 of about 205,855 (287)
Functional-Type Caristi–Kirk Theorem on Menger Space and Application
Journal of Mathematics, 2020 In this paper, we extend Caristi’s fixed point theorem in metric spaces to probabilistic metric spaces, and also, we prove some common fixed point theorems for a pair of mappings satisfying a system of Caristi-type contractions in the setting of a Menger
Soumia Chaira +3 more
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Nonlinear Analysis, 2019 In this paper, we introduce the concept of enhanced probabilistic metric space (briefly EPM-space) as a type of probabilistic metric space. Also, we investigate the existence of fixed points for a (finite or infinite) linear combination of different ...
Jafari Jafari +3 more
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Four Types of Fixed-Point Theorems for Multifunctions in Probabilistic Metric Spaces
Mathematics, 2021 An overview of fixed-point theorems (F.P.T.s) for multifunctions in probabilistic metric spaces is given. Extensions of the fixed-point theorems on probabilistic metric spaces of Nadler, Hadžić, Itoh, and Miheţ are presented. In the end, some hints about
Endre Pap
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Applied General Topology, 2023 In this paper, we prove the existence of fixed point results for set-valued mappings in Menger probabilistic metric spaces equipped with an amorphous binary relation and a Hadžić -type t-norm.
Gopi Prasad +2 more
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Dynamics and Complexity of Computrons
Entropy, 2020 We investigate chaoticity and complexity of a binary general network automata of finite size with external input which we call a computron. As a generalization of cellular automata, computrons can have non-uniform cell rules, non-regular cell ...
Murat Erkurt
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Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi. [PDF]
PLoS Computational Biology, 2016 How do humans and other animals face novel problems for which predefined solutions are not available? Human problem solving links to flexible reasoning and inference rather than to slow trial-and-error learning.
Francesco Donnarumma +2 more
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Strong Statistical Convergence in Probabilistic Metric Spaces
Stochastic Analysis and Applications, 2008 In this article, we introduce the concepts of strongly statistically convergent sequence and strong statistically Cauchy sequence in a probabilistic metric (PM) space endowed with the strong topology, and establish some basic facts. Next, we define the strong statistical limit points and the strong statistical cluster points of a sequence in this space
Sencimen, C., Pehlivan, S.
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Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
MB-RRT: An Inverse Kinematics Solver of Reduced Dimension
IEEE Access, 2021 The evolution of manipulator robots has increased the complexity of their models and applications, requiring that the inverse kinematics (IK) methods integrated into their control systems to have features such as fast convergence, completeness, low ...
Matheus C. Santos +5 more
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Completeness in Probabilistic Metric Spaces
, 2018 In this paper, we present the Cantor Intersection Theorem and a formulation of Baire Theorem in complete PM spaces. In addition, the Heine-Borel property for PM spaces is considered in detail.
Tafti, Delavar Varasteh, Azhini, Mahdi
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