Results 41 to 50 of about 5,585,321 (191)

The variance-gamma product distribution

open access: yes
We derive the exact probability density function of the product of N independent variance-gamma random variables with zero location parameter. We then apply this formula to derive formulas for the cumulative distribution function and characteristic ...
Gaunt, Robert E.   +2 more
core   +8 more sources

High-Power Wind Turbine: Performance Calculation

open access: yesMATEC Web of Conferences, 2015
The paper is devoted to high-power wind turbine performance calculation using Pearson’s chi-squared test the statistical hypothesis on distribution of general totality of air velocities by Weibull-Gnedenko.
Goldaev Sergey V., Radyuk Karina N.
doaj   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

One Parameter Polynomial Exponential Distribution with Binomial Mixture

open access: yesRevstat Statistical Journal
A further generalized version of one parameter polynomial exponential distribution with binomial probability mass as a mixture called a Binomial Mixture One Parameter Polynomial Exponential Distribution (BMOPPE) is proposed in the article.
Molay Kumar Ruidas   +4 more
doaj   +1 more source

Exponential families of mixed Poisson distributions [PDF]

open access: yes, 2006
If I=(I1,…,Id) is a random variable on [0,∞)d with distribution μ(dλ1,…,dλd), the mixed Poisson distribution MP(μ) on View the MathML source is the distribution of (N1(I1),…,Nd(Id)) where N1,…,Nd are ordinary independent Poisson processes which are also ...
Letac, G.   +9 more
core   +1 more source

Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk

open access: yesMolecular Oncology, EarlyView.
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley   +1 more source

Bayesian optimization of EWMA control charts: A case on process variance monitoring

open access: yesKuwait Journal of Science
Bayesian control charts (BCC) are gaining prominence as powerful statistical process control tools for analyzing manufacturing processes and managing process variability.
Tahir Abbas   +3 more
doaj   +1 more source

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

open access: yesMolecular Oncology, EarlyView.
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira   +7 more
wiley   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim   +17 more
wiley   +1 more source

Variance-Gamma distribution

open access: yes, 2011
In this Demonstration we visualize the probability density function of the variance-gamma distribution, which has parameters μ (location), α (tail), β (asymmetry), and λ (scale). These are all real-valued, with the additional constraints λ>0, α>max(0,|β|)
Falloon, Peter
core   +2 more sources

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