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Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease. [PDF]
Englert R +10 more
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Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding. [PDF]
Del Castillo JCF +3 more
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Phenotypic and transcriptomic characterization of OsSWEET14-edited rice (cv. Samkwang) with enhanced bacterial blight resistance. [PDF]
Jun Y +11 more
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Numerical Functional Analysis and Optimization, 2008
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
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In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
openaire +4 more sources
Mathematica Slovaca, 2019
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal, Avishek Ghosh
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AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal, Avishek Ghosh
openaire +3 more sources

