Results 61 to 70 of about 3,482,041 (300)
Translating whole‐genome doubling into precision medicine in cancer
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source
Uniform Statistical Convergence on Time Scales
We will introduce the concept of m- and (λ,m)-uniform density of a set and m- and (λ,m)-uniform statistical convergence on an arbitrary time scale. However, we will define m-uniform Cauchy function on a time scale. Furthermore, some relations about these
Yavuz Altin +2 more
doaj +1 more source
On the invariant mean and statistical convergence
The authors introduce two kinds of summability methods, \(\sigma\)-statistical summability and statistical \(\sigma\)-summability, by using the concepts of invariant means, and statistical convergence. A sequence \((x_{k})\) is said to be \(\sigma\)-statistically convergent to \(L\) if for every \( \varepsilon> 0\) \[ \lim_{p\rightarrow\infty}\frac{1 ...
Mohammad Mursaleen, Osama H. H. Edely
openaire +2 more sources
Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas +16 more
wiley +1 more source
Some sequence spaces and statistical convergence
We introduce the strongly (V,λ)-convergent sequences and give the relation between strongly (V,λ)-convergence and strongly (V,λ)-convergence with respect to a modulus.
E. Savaş
doaj +1 more source
In this study, by using definition of ?-statistical convergence which was defined by C¸ akallı[2], we give some inclusion relations between the set of ?-statistical convergence and strong (S, [?]) summability.
Aral, Nazlım Deniz +2 more
openaire +1 more source
A-Statistical convergence of approximating operators [PDF]
Let \(A\) be a regular summability matrix all of whose entries \(a_{n_k}\) \((n\in \mathbb N, k\in\mathbb N)\) are non-negative. A sequence \(x=\{x_k\}\) is said to be \(A\)-statistically convergent to \(L\) if and only if for every \(\varepsilon>0\) \[ \lim_{n}\sum_{k:|x_k-L|\geq \varepsilon}a_{n_k}=0. \] This concept was introduced by \textit{A.
Duman, O., Khan, M. K., Orhan, C.
openaire +1 more source
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source
Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
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