Results 41 to 50 of about 12,111,967 (266)

On Some Coincidence Best Proximity Point Results

open access: yes, 2021
In this paper, we discuss some (coincidence) best proximity point results for generalized proximal contractions and λ−μ-proximal Geraghty contractions in controlled metric type spaces. To clarify our study, various examples are given and some conclusions
Haroon Ahmad   +3 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Global optimization using $\alpha$-ordered proximal contractions in metric spaces with partial orders

open access: yesApplied General Topology, 2016
The purpose of this article is to establish the global optimization with partial orders for the pair of non-self mappings, by introducing new type of contractions like $\alpha$-ordered contractions and $\alpha$-ordered proximal contraction in the frame ...
Somayya Komal, Poom Kumam
doaj   +1 more source

Existence and Uniqueness of a Common Best Proximity Point on Fuzzy Metric Space [PDF]

open access: yesFuzzy Information and Engineering, 2019
In this paper, first we introduce the notion of proximally weakly compatible mappings and we extend the CLRg property (CLRg-Common limit in the range of g) to the case of non-self mappings.
V. Pragadeeswarar, R. Gopi
openaire   +1 more source

Best Proximity Point for Generalized and S-Geraphty Contractions

open access: yes, 2021
This paper introduces a new class of mappings called S-Geraphty-contractions and provides sufficient conditions for the existence and uniqueness of a best proximity point for such mappings. It also presents the best proximity point result for generalized
Abdelhafid Bassou   +2 more
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Best Proximity Point Results in G-Metric Spaces [PDF]

open access: yes, 2014
G-metric spaces proved to be a rich source for fixed point theory; however, the best proximity point problem has not been considered in such spaces. The aim of this paper is to introduce certain new classes of proximal contraction mappings and establish ...
P. Salimi, N. Hussain, A. Latif
core   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Some results on common best proximity point in fuzzy metric

open access: yesBoletim da Sociedade Paranaense de Matemática, 2017
In this paper, we dene the concepts of commute proximally, dominate prox-imally, weakly dominate proximally and common best proximity point in fuzzy metricspace (abbreviated, FM-space). We prove some common best proximity point and com-mon xed point theorems for dominate proximally and weakly dominate proximally map-pings in FM-space under certain ...
Hamid Shayanpour, Asiyeh Nematizadeh
openaire   +3 more sources

Epigenetic reprogramming of lineage switching in cancer

open access: yesFEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı   +4 more
wiley   +1 more source

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