Results 61 to 70 of about 4,445,349 (240)
n-Tuplet Coincidence Point Theorems in Partially Ordered Probabilistic Metric Spaces
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
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Minimax theorems in probabilistic metric spaces [PDF]
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
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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
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
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Probabilistic Autoencoder Using Fisher Information
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
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Strong Statistical Convergence in Probabilistic Metric Spaces
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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Probabilistic metric spaces and hysteresis systems [PDF]
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.
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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]
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
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
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