Results 41 to 50 of about 9,456,266 (290)
Fuzzy n-ary groups as a generalization of Rosenfeld's fuzzy groups
J. Multiple Valued Log. Soft Comput., 2007 The notion of an $n$-ary group is a natural generalization of the notion of a group and has many applications in different branches. In this paper, the notion of (normal) fuzzy $n$-ary subgroup of an $n$-ary group is introduced and some related properties are investigated. Characterizations of fuzzy $n$-ary subgroups are given.
Bijan Davvaz, Wieslaw A. Dudek
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RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
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Fuzzy (Anti- Fuzzy) Sub Groups and Fuzzy (Anti- Fuzzy) Normal Sub Groups
International Journal of Scientific Research in Science, Engineering and Technology, 2019 In this paper, We discuss the definition of fuzzy subgroup, definition of anti- fuzzy subgroup,the definition of fuzzy normal sub group, definition of anti- fuzzy normal sub group and show the relation between fuzzy normal sub groups and an Anti- fuzzy normal sub groups and derive the definitions of Connectedness and also the definitions of Seperation ...
S. Chandrasekaran, N. Deepica
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Protocol for quantifying miRNA trafficking across the endosomal membrane
FEBS Open Bio, EarlyView.An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
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On characterization of the hypercenters of fuzzy groups
Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Matematika, 2013 We continue the study of the properties of the upper central series for arbitrary fuzzy group. More precisely, a quite explicit description of the members of the upper central series has been obtained.
K.O. Grin
doaj
Matrix formulation of fuzzy rule-based systems [PDF]
, 1996 In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core
Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
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An improvement method for selecting the best alternative in Decision Making [PDF]
International Journal of Computational Intelligence Systems, 2014 Multiple attributes group decision making problems aim to find the best alternative for the experts from a solution set of alternatives. Because the attribute value and decision-makers evaluation with respect to the alternatives are usually vague and ...
Bin Zhou, Zheng Pei, Xinzi Ma
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Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
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Fuzzy Approach for Group Sequential Test
Advances in Fuzzy Systems, 2014 Buckley’s approach (Buckley (2004), (2005), (2006)) uses sets of confidence intervals by taking into consideration both of the uncertainty and impreciseness of concepts that produce triangular shaped fuzzy numbers for the estimator.
Duygu İçen +2 more
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