Results 1 to 10 of about 151,472 (303)

Bernstein operator of rough I-core of triple sequences

open access: diamondITM Web of Conferences, 2018
We introduce and study some basic properties of Bernstein-Stancu polynomials of rough I-convergent of triple sequence spaces and also study the set of all Bernstein-Stancu polynomials of rough I-limits of a triple sequence spaces and relation between ...
Ozdemir M. Kemal, Esi Ayhan, Esi Ayten
doaj   +2 more sources

On Triple Difference Sequences of Real Numbers in Neutrosophic Normed Spaces

open access: yesCommunications in Advanced Mathematical Sciences, 2022
The aim of this article is to investigate triple $\Delta $-statistical convergent sequences in a neutrosophic normed space (NNS). Also, we examine the notions of $\Delta $-statistical limit points and $\Delta $-statistical cluster points and prove their ...
Verda Gürdal, Ömer Kişi
doaj   +1 more source

ON THE GENERATING FUNCTION FOR BERNSTEIN POLYNOMIALS OF TRIPLE SEQUENCES

open access: yesJournal of Science and Arts, 2021
The aim of this paper is to give main properties of the generating function of the Bernstein polynomials of triple sequence spaces. It was proved the recurrence relations and derivative formula for Bernstein polynomials of triple sequences. Further more, some new results are obtained by using this generating function of these polynomials.
Indumathi, Arulmani   +2 more
openaire   +2 more sources

Pellans sequence and its diophantine triples

open access: yesPublications de l'Institut Mathematique, 2016
We introduce a novel fourth order linear recurrence sequence {Sn} using the two periodic binary recurrence. We call it ?pellans sequence? and then we solve the system ab+1=Sx, ac+1=Sy bc+1=Sz where a < b < c are positive integers. Therefore, we extend the order of recurrence sequence for this variant diophantine equations by means of ...
Irmak, Nurettin, Alp, Murat
openaire   +2 more sources

Some properties of $I_3$-λ-statistical cluster points

open access: yesDera Natung Government College Research Journal, 2022
In this note, we investigate some problems concerning the set of λ-statistical cluster points of triple sequences via ideals in finite dimensional spaces, and some of its properties in finite dimensional Banach spaces are proved.
Verda Gürdal, Ömer Kişi
doaj   +1 more source

Inversion Sequences Avoiding a Triple of Patterns of 3 Letters

open access: yesThe Electronic Journal of Combinatorics, 2023
An inversion sequence of length $n$ is a sequence of integers $e=e_1\cdots  e_n$ which satisfies for each $i\in[n]=\{1,2,\ldots,n\}$ the inequality $0\le e_i < i$. For a set of patterns $P$, we let $\mathbf{I}_n(P)$ denote the set of inversion sequences of length $n$ that avoid all the patterns from~$P$.
David Callan   +2 more
openaire   +2 more sources

Proton triple-quantum solid-state NMR spectroscopy at slow MAS ∼10 kHz

open access: yesJournal of Magnetic Resonance Open, 2021
Solid-state NMR is a valuable tool for elucidating the structures and dynamics of materials at an atomic level. Proton multiple-quantum (MQ) /single-quantum (SQ) correlation NMR spectroscopy is widely used to probe spatial proximity among protons. In the
Rongchun Zhang   +2 more
doaj   +1 more source

MicroRNAs Form Triplexes with Double Stranded DNA at Sequence-Specific Binding Sites; a Eukaryotic Mechanism via which microRNAs Could Directly Alter Gene Expression. [PDF]

open access: yesPLoS Computational Biology, 2016
MicroRNAs are important regulators of gene expression, acting primarily by binding to sequence-specific locations on already transcribed messenger RNAs (mRNA) and typically down-regulating their stability or translation.
Steven W Paugh   +17 more
doaj   +1 more source

Repetitive Sequence Transcription in Breast Cancer

open access: yesCells, 2022
Repetitive sequences represent about half of the human genome. They are actively transcribed and play a role during development and in epigenetic regulation.
Walter Arancio, Claudia Coronnello
doaj   +1 more source

Applicability of deep learning-based reconstruction trained by brain and knee 3T MRI to lumbar 1.5T MRI

open access: yesActa Radiologica Open, 2021
Background Several deep learning-based methods have been proposed for addressing the long scanning time of magnetic resonance imaging. Most are trained using brain 3T magnetic resonance images, but is unclear whether performance is affected when applying
Nobuo Kashiwagi   +6 more
doaj   +1 more source

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