Results 61 to 70 of about 702,978 (335)
FEBS Letters, EarlyView.Mutations in the C9orf72 gene represent the most common genetic cause of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease. Using patient‐derived neurons and C. elegans models, we find that the nucleoporin Nup107 is dysregulated in C9orf72‐associated ALS. Conversely, reducing Nup107 levels mitigates disease‐related changes.
Saygın Bilican +7 more
wiley +1 more source
On Rough Sets and Hyperlattices
Ratio Mathematica, 2018 In this paper, we introduce the concepts of upper and lower rough hyper fuzzy ideals (filters) in a hyperlattice and their basic properties are discussed. Let $\theta$ be a hyper congruence relation on $L$. We show that if $\mu$ is a fuzzy subset of $L$,
Ali Akbar Estaji, Fereshteh Bayati
doaj +1 more source
Generalized Ideals and Co-Granular Rough Sets
, 2017 Lattice-theoretic ideals have been used to define and generate non granular rough approximations over general approximation spaces over the last few years by few authors.
Mani, A
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Rough Sets in Biomedical Informatics
Biomath, 2013 The intent of this paper is to face the essentials of granular computing and in its major component - the rough sets theory, introduced by Pawlak, since any rough set represents an information granule.
Antony Popov, Simeon Stoykov
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A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER
IEEE Access, 2020 Existing facial emotion recognition methods do not have high accuracy and are not sufficient practical in real-time applications. We introduce type 2 fuzzy rough sets to develop a Type 2 Fuzzy Rough Convolutional Neural Network, as type 2 fuzzy rough ...
Xiangjian Chen +3 more
doaj +1 more source
Rough matroids based on coverings [PDF]
, 2013 The introduction of covering-based rough sets has made a substantial contribution to the classical rough sets. However, many vital problems in rough sets, including attribution reduction, are NP-hard and therefore the algorithms for solving them are ...
Yang, Bin, Zhao, Hong, Zhu, William
core
FEBS Letters, EarlyView.Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur +5 more
wiley +1 more source
Two kinds of average approximation accuracy
CAAI Transactions on Intelligence TechnologyRough set theory places great importance on approximation accuracy, which is used to gauge how well a rough set model describes a target concept. However, traditional approximation accuracy has limitations since it varies with changes in the target ...
Qingzhao Kong +3 more
doaj +1 more source
Parametric matroid of rough set [PDF]
, 2012 Rough set is mainly concerned with the approximations of objects through an equivalence relation on a universe. Matroid is a combinatorial generalization of linear independence in vector spaces.
Liu, Yanfang, Zhu, William
core