Results 41 to 50 of about 1,694,129 (281)

Attribute Reduction of Incomplete Neighborhood Decision Rough Sets Based on Decision‑Cost Fusion Measures

Shuju Caiji Yu Chuli
Attribute reduction relies on knowledge granulation and uncertainty measurement， thus facilitating intelligent recognition. For incomplete continuous data， neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang, ZHANG Xianyong, YANG Jilin, CHEN Benwei   +3 more
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Neighborhood based decision-theoretic rough set models

International Journal of Approximate Reasoning, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weiwei Li 0001, Zhiqiu Huang, Xiuyi Jia, Xinye Cai   +3 more
openaire   +3 more sources

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

Molecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen, Zhi Zhao, Henrik Horndalsveen, Maria Moksnes Bjaanæs, Bjørn Henning Grønberg, Tarje Halvorsen, Tesfaye Madebo, Marianne Aanerud, Jussi Koivunen, Kersti Oselin, Saulius Cicenas, Nina Helbekkmo, Jarkko Ahvonen, Maria Silvoniemi, Tine Norman Alver, Tonje Dalen, Åsa Kristina Öjlert, Saima Jamil Farooqi, Åslaug Helland, Vilde Drageset Haakensen   +19 more
wiley   +1 more source

Idealizing Rough Topological Structures Generated by Several Types of Maximal Neighborhoods and Exploring Their Applications

Axioms
Several different topologies utilizing ideals are created and compared with previous topologies. The results show that the previous ones are weaker than the current ones and that the current ones are stronger. The merits of these topologies are proposed,
Mona Hosny
doaj   +1 more source

Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce

Complexity, 2018
Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex ...
Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue   +4 more
doaj   +1 more source

Multilabel Feature Selection Based on Fisher Score with Center Shift and Neighborhood IntuitionisticFuzzy Entropy [PDF]

Jisuanji kexue
The edge samples in the existing multilabel Fisher score models affect the classification effect of the algorithm.It has the available virtues of stronger expression and resolution when using neighborhood intuitive fuzzy entropy to deal with uncertain ...
SUN Lin, MA Tianjiao
doaj   +1 more source

Three-Way Decisions Making Using Covering Based Fractional Orthotriple Fuzzy Rough Set Model

Mathematics, 2020
On the basis of decision-theoretical rough sets (DTRSs), the three-way decisions give new model of decision approach for deal with the problem of decision. This proposed model of decision method is based on the loss function of DTRSs.
Shougi S. Abosuliman, Saleem Abdullah, Muhammad Qiyas   +2 more
doaj   +1 more source

A Method for Improving Rough Set Approximation Accuracy in terms of j-Neighborhood Spaces [PDF]

Delta Journal of Science, 2017
This paper aims to introduce an effective method for improving rough set approximation accuracy.Considering the j-neighborhood space, the lower and upper approximation operators are defined and their fundamentalproperties are obtained. The approximations
Nadya. A. Toumi, O. A. Embaby
doaj   +1 more source