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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
Neutrosophic Soft Rough Topology and its Applications to Multi-Criteria Decision-Making [PDF]
In this manuscript, we introduce the notion of neutrosophic soft rough topology (NSRtopology) defined on neutrosophic soft rough set (NSR-set).
Muhammad Riaz +4 more
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Neighborhood based decision-theoretic rough set models
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Weiwei Li 0001 +3 more
openaire +3 more sources
Smaller is better: nanobodies meet NMR
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
Vibration-Based Fault Diagnosis of Slurry Pumps Using the Neighborhood Rough Set Model
Rough set has been widely used as a method of feature selection in fault diagnosis. The neighborhood rough set model can deal with both nominal and numerical features, but selecting the neighborhood size for its application may be a challenge.
Ming J. Zuo +3 more
core +1 more source
Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data
Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the ...
Haibo LAN
doaj
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
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 +19 more
wiley +1 more source
Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection
Feature selection is one of the widely used pre-processing techniques to deal with large data sets. In this context, rough set theory has been successfully implemented for feature selection of discrete data set but in case of continuous data set it ...
Anoop Kumar Tiwari +2 more
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Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source
Neighborhood Rough-Sets-Based Spatial Data Analytics
Rough Set Theory partitions a universe using single layered granulation. The equivalence classes induced by rough sets are based on discretised values. Considering the fact that the spatial data are continuous at large, discretising them may cause loss ...
Sharmila Banu K., B. K. Tripathy
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