Results 81 to 90 of about 3,651 (294)

An Edible Biohybrid Platform Accomplishes In Situ Fenton‐Mediated Enteral Nanoplastics Aging and Excretion

Advanced Science, EarlyView.
An edible biohybrid platform triggers nanoplastics (NPs) aging and agglomeration by in situ generating hydroxyl radicals within the intestine. The enlarged NPs are unable to penetrate the intestine and are subsequently excreted. Simultaneously, probiotic biofilms reinforce the intestinal barrier.
Su Zhou, Anran Yan, Haowei Guo, Ping Chen, Qiang Chu   +4 more
wiley   +1 more source

Novel Parameterized Utility Function on Dual Hesitant Fuzzy Rough Sets and Its Application in Pattern Recognition [PDF]

, 2019
Based on comparative studies on correlation coefficient theory and utility theory, a series of rules that utility functions on dual hesitant fuzzy rough sets (DHFRSs) should satisfy, and a kind of novel utility function on DHFRSs are proposed.
Tang, Xufeng, Jing Sun, Zhang, Fangwei, Zhongjun Wu, Xufeng Tang, Zhongjun, Wu, Wang, Wenjing, Fangwei Zhang, Sun, Jing, Wenjing Wang   +9 more
core   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Soft Interval-Valued Neutrosophic Rough Sets [PDF]

Neutrosophic Sets and Systems, 2015
In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties.
Said Broumi, Florentin Smarandache
doaj  

Fuzzy Rough Graph Theory with Applications

International Journal of Computational Intelligence Systems, 2018
Fuzzy rough set theory is a hybrid method that deals with vagueness and uncertainty emphasized in decision-making. In this research study, we apply the concept of fuzzy rough sets to graphs.
Muhammad Akram, Maham Arshad, Shumaiza
doaj   +1 more source

Identification of a Nonribosomal Peptide Analog With Activity Against Multiple Gram‐Positive Bacteria via a Synthetic Bioinformatic Natural Product Discovery Approach

Advanced Science, EarlyView.
The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen, Jiayi Liang, Yujia Wu, Jianan Xu, Yi Liu, Wenguang Wang, Xinhang Jiang, Benjie Gao, Yueyue Wang, Hui Jiang   +9 more
wiley   +1 more source

A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators

The Scientific World Journal, 2014
Rough set theory is a suitable tool for dealing with the imprecision, uncertainty, incompleteness, and vagueness of knowledge. In this paper, new lower and upper approximation operators for generalized fuzzy rough sets are constructed, and their ...
Tianyu Xue, Zhan’ao Xue, Huiru Cheng, Jie Liu, Tailong Zhu   +4 more
doaj   +1 more source

Picture Fuzzy Rough Set and Rough Picture Fuzzy Set on Two Different Universes and Their Applications

Journal of Mathematics, 2020
The major concern of this article is to propose the notion of picture fuzzy rough sets (PFRSs) over two different universes which depend on δ,ζ,ϑ-cut of picture fuzzy relation ℛ on two different universes (i.e., by combining picture fuzzy sets (PFSs ...
Dliouah Ahmed, Binxiang Dai
doaj   +1 more source

Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems

IEEE Access, 2020
By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
doaj   +1 more source

On the lattice of fuzzy rough sets

Fuzzy Sets and Systems
By the means of lower and upper fuzzy approximations we define quasiorders. Their properties are used to prove our main results. First, we characterize those pairs of fuzzy sets which form fuzzy rough sets w.r.t. a t-similarity relation $θ$ on $U$, for certain t-norms and implicators.
Dávid Gégény, Sándor Radeleczki
openaire   +3 more sources