Results 51 to 60 of about 6,352,554 (347)
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 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
Fuzzy Rough Sets versus Rough Fuzzy Sets
, 1998 Reihe Computational Intelligence ...
openaire +2 more sources
Pythagorean fuzzy soft rough sets and their applications in decision-making
Journal of Taibah University for Science, 2019 This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
A. Hussain, M. Ali, T. Mahmood
semanticscholar +1 more source
Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel +5 more
wiley +1 more source
Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets
IEEE transactions on fuzzy systems, 2018 Feature selection based on fuzzy rough sets is an effective approach to select a compact feature subset that optimally predicts a given decision label.
Yanyan Yang +3 more
semanticscholar +1 more source
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme +7 more
wiley +1 more source
Multigranulation rough set: A multiset based strategy
International Journal of Computational Intelligence Systems, 2017 A simple multigranulation rough set approach is to approximate the target through a family of binary relations. Optimistic and pessimistic multigranulation rough sets are two typical examples of such approach.
Xibei Yang +5 more
doaj +1 more source