Results 81 to 90 of about 83,194 (307)

Limit cycles of the generalized Li'enard differential equation via averaging theory

open access: yesElectronic Journal of Differential Equations, 2012
We apply the averaging theory of first and second order to a generalized Lienard differential equation. Our main result shows that for any $n,m geq 1$ there are differential equations $ddot{x}+f(x,dot{x})dot{x}+ g(x)=0$, with f and g polynomials of ...
Sabrina Badi, Amar Makhlouf
doaj  

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

open access: yesMolecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides   +13 more
wiley   +1 more source

Maximum number of limit cycles for generalized Li'enard differential equations

open access: yesElectronic Journal of Differential Equations, 2013
Applying the averaging theory of first and second order to a class of generalized polynomial Lienard differential equations, we improve the known lower bounds for the maximum number of limit cycles that this class can exhibit.
Sabrina Badi, Amar Makhlouf
doaj  

Method of averaging in the kinetic theory of a plasma

open access: yesSoviet Physics Journal, 1979
A generalization of the well known Bogolyubov-Zubarev method is used to obtain an averaged kinetic equation for a rarefied plasma located in a strong magnetic field and an hf field of quasimonochromatic wave packets. It is shown that the characteristics of the averaged kinetic equation coincide with the averaged equations of motions of a single ...
openaire   +4 more sources

The critical role of DNA damage‐inducible transcript 4 (DDIT4) in stemness character of leukemia cells and leukemia initiation

open access: yesMolecular Oncology, EarlyView.
Stemness properties, including quiescence, self‐renewal, and chemoresistance, are closely associated with leukemia relapse. Here, we demonstrate that DNA damage‐inducible transcript 4 (DDIT4) is induced in the hypoxic bone marrow niche and is essential for maintaining the stemness of AML1‐ETO9a leukemia cells.
Yishuang Li   +12 more
wiley   +1 more source

Stochastic bifurcation analysis in Brusselator system with white noise

open access: yesAdvances in Difference Equations, 2019
In this paper, we mainly study the stochastic stability and stochastic bifurcation of Brusselator system with multiplicative white noise. Firstly, by a polar coordinate transformation and a stochastic averaging method, the original system is transformed ...
Changzhao Li, Juan Zhang
doaj   +1 more source

RKIP overexpression reduces lung adenocarcinoma aggressiveness and sensitizes cells to EGFR‐targeted therapies

open access: yesMolecular Oncology, EarlyView.
RKIP, a metastasis suppressor protein, modulates key oncogenic pathways in lung adenocarcinoma. In silico analyses linked low RKIP expression to poor survival. Functional studies revealed RKIP overexpression reduces tumor aggressiveness and enhances sensitivity to EGFR‐targeted therapies, while its loss promotes resistance.
Ana Raquel‐Cunha   +10 more
wiley   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

open access: yesMolecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian   +10 more
wiley   +1 more source

Model Averaging for Accelerated Failure Time Models with Missing Censoring Indicators

open access: yesMathematics
Model averaging has become a crucial statistical methodology, especially in situations where numerous models vie to elucidate a phenomenon. Over the past two decades, there has been substantial advancement in the theory of model averaging. However, a gap
Longbiao Liao, Jinghao Liu
doaj   +1 more source

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