Results 61 to 70 of about 2,328,002 (291)

Applications of Complex Uncertain Sequences via Lacunary Almost Statistical Convergence

open access: yesAxioms
We explore the realm of uncertainty theory by investigating diverse notions of convergence and statistical convergence concerning complex uncertain sequences.
Xiu-Liang Qiu   +5 more
doaj   +1 more source

Global convergence dynamics of almost periodic delay Nicholson's blowflies systems

open access: yesJournal of Biological Dynamics, 2020
We take into account nonlinear density-dependent mortality term and patch structure to deal with the global convergence dynamics of almost periodic delay Nicholson's blowflies system in this paper.
Chuangxia Huang, Renli Su, Yuhui Hu
doaj   +1 more source

Almost convergent and weakly almost periodic functions on a semigroup [PDF]

open access: yesTransactions of the American Mathematical Society, 1983
Let S S be a topological semigroup,
openaire   +1 more source

The microbiome in human skin aging

open access: yesFEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana   +3 more
wiley   +1 more source

Some sequence spaces and absolute almost convergence

open access: yes, 1984
The object of this paper is to introduce a new concept of absolute almost convergence which emerges naturally as an absolute analogue of almost convergence, in the same way as convergence leads to absolute convergence.
G. Das, S. Nanda, B. Kuttner
core   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Strongly almost summable sequences of order a

open access: yesKuwait Journal of Science, 2014
In this paper, we introduce the concept  statistical convergence of order . Also some relations between  -statistical convergence of order   and strong  -summability of order  are given. Furthermore some relations between the spaces  and  are examined.
MİKAİL ET, RİFAT ÇOLAK, YAVUZ ALTIN
doaj  

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Almost sure convergence of randomised‐difference descent algorithm for stochastic convex optimisation

open access: yesIET Control Theory & Applications, 2021
Stochastic gradient descent algorithm is a classical and useful method for stochastic optimisation. While stochastic gradient descent has been theoretically investigated for decades and successfully applied in machine learning such as training of deep ...
Xiaoxue Geng, Gao Huang, Wenxiao Zhao
doaj   +1 more source

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