Results 61 to 70 of about 4,445,349 (240)

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

Minimax theorems in probabilistic metric spaces [PDF]

open access: yesBulletin of the Australian Mathematical Society, 1995
In this paper, new minimax theorems for mixed lower-upper semicontinuous functions in probabilistic metric spaces are given. As applications, we utilise these results to show the existence of solutions of abstract variational inequalities, implicit variational inequalities and saddle point problems, and the existence of coincidence points in ...
Cho, Y. J.   +4 more
openaire   +2 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

New approaches for assessing the activities of operators of complex technical systems

open access: yesЭкспериментальная психология, 2019
Presented are new approaches for supporting the outcome grading for activities of operators of complex technical systems, which are based on comparisons of current exercises with the activity database patterns in both the wavelet ...
L.S. Kuravsky   +2 more
doaj   +1 more source

Probabilistic Autoencoder Using Fisher Information

open access: yesEntropy, 2021
Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to represent the essential information of a high dimensional data set in a low dimensional latent ...
Johannes Zacherl   +2 more
doaj   +1 more source

Strong Statistical Convergence in Probabilistic Metric Spaces

open access: yesStochastic 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.
openaire   +4 more sources

Probabilistic metric spaces and hysteresis systems [PDF]

open access: yesCommunications in Mathematical Physics, 1971
A phenomenological theory of simple hysteresis is constructed with the aid of certain concepts from the theory of probabilistic metric spaces. The predicted forms of the dependence of average energy loss per hysteresis cycle on the maximum excursion of the hysteresis coordinate agree well with experimental results.
Erber, T., Schweizer, B., Sklar, A.
openaire   +2 more sources

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

Some fixed point results in fuzzy metric spaces using a control function [PDF]

open access: yesSurveys in Mathematics and its Applications, 2017
In this paper, we establish the results on existence and uniqueness of fixed point for φ-contractive and generalized C-contractive mapping in the fuzzy metric space in the sense of George and Veeramani.
C. T. Aage   +2 more
doaj  

An Improved Phase Space Reconstruction Method-Based Hybrid Model for Chaotic Traffic Flow Prediction

open access: yesDiscrete Dynamics in Nature and Society, 2022
Traffic flow is chaotic due to nonstationary realistic factors, and revealing the internal nonlinear dynamics of chaotic data and making high-accuracy predictions is the key to traffic control and inducement.
Yue Hou, Da Li, Di Zhang, Zhiyuan Deng
doaj   +1 more source

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