Results 201 to 210 of about 22,085 (238)

Transcriptomic analysis reveals immune dysregulation and identifies key genes in ICU patients with severe ARDS. [PDF]

Front Immunol
Hu H, Dou D, Shang R, Luo R.
europepmc   +1 more source

Time-Series-Based Co-Expression Network Analysis Reveals Key Regulatory Modules and Hub Genes in Salt-Tolerant Wheat Under Salt Stress. [PDF]

Curr Issues Mol Biol
Fan G, Huang J, Wang HJ, Huo Y, Liu P, Ullah U, Hu G, Ahmad M, Shalmani A, Fang H, Huang T.   +10 more
europepmc   +1 more source

Effect of Regularization on Efficient Modeling and Simulation of Bioinspired Composites Using Cohesive Zone Method. [PDF]

Biomimetics (Basel)
Rumi MJU, Zeng X.
europepmc   +1 more source

A Protocol for Weighted Gene Co-expression Network Analysis With Module Preservation and Functional Enrichment Analysis for Tumor and Normal Transcriptomic Data. [PDF]

Bio Protoc
Nguyen P, Zeng E.
europepmc   +1 more source

Dual-chirality flexagon linkages with infinite eversion and surface reconfigurability. [PDF]

Proc Natl Acad Sci U S A
Lin J, Miao Z, Zhang H, Dong K, Lu H, Feng H, Dai JS.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Generalization of Soft Topological Polygroups

New Mathematics and Natural Computation, 2023
In this paper, we first present two different definitions for soft topological polygroups and mention some examples and important theorems related to them. Then a generalization of these two definitions is given. This generalization is such that it returns to the same two previous definitions in certain cases.
Rasoul Mousarezaei, Bijan Davvaz
openaire   +1 more source

Soft Topologies Generated by Soft Set Relations

2016
This chapter discusses different soft set topologies using binary soft set relations. The relationship between soft set topologies and different relations are investigated and some of the properties of these soft set topologies are obtained. The concept of topology generated by relations in the context of soft sets seems to be a promising tool for ...
K. V. Babitha, Sunil Jacob John
openaire   +1 more source

Soft mappings on soft generalized topological spaces

Creative Mathematics and Informatics, 2018
In the present paper, we introduce g−open soft mapping, g−closed soft mapping, g−pseudo-open soft mapping, g−quotient soft mapping on soft generalized topological spaces. Furthermore, we discuss some characterizations and some applications of them.
openaire   +1 more source

Generalized soft rough sets and generated soft ideal rough topological spaces

Journal of Intelligent & Fuzzy Systems, 2018
Soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. The main purpose of soft rough set is reducing the soft boundary region by increasing the lower approximation and decreasing the upper approximation.
openaire   +1 more source

Soft sets over power sets: Generalities and applications to topology

Journal of Intelligent & Fuzzy Systems, 2015
Abstract The concept of soft set theory was introduced by D. Molodtsov in 1999 for modeling uncertainty. In [13] a special kinds of soft sets, namely soft neighborhood set, was defined and the relations between this concept and classical topology was given. In this paper, our aim is to extend the studies in [13].
Banu Pazar Varol, Halis Aygün
openaire   +2 more sources