Results 51 to 60 of about 1,021,568 (282)
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source
We present a new one-parameter discrete Muth (DsMuth) distribution, a flexible probability mass function designed for modeling count data, particularly over-dispersed data. The proposed distribution is derived through the survival discretization approach.
Howaida Elsayed, Mohamed Hussein
doaj +1 more source
In this paper, we analyze a multi-server queue with customers impatience and Bernoulli feedback under a variant of multiple vacations. On arrival, a customer decides whether to join or balk the system, based on the observation of the system size as well ...
Amina Angelika Bouchentouf +3 more
doaj +1 more source
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Trends in the Use of Proper Methods for Estimating Mutation Rates in Fluctuation Experiments
The accurate quantification of mutation rates holds significance across diverse fields, including evolution, cancer research, and antimicrobial resistance. Eighty years ago, Luria and Delbrück demonstrated that the proper quantification of mutation rates
Guillem A. Devin, Alejandro Couce
doaj +1 more source
Generalized Moment Generating Functions of Random Variables and Their Probability Density Functions [PDF]
This paper seeks to develop a generalized method of generating the moments of random variables and their probability distributions. The Generalized Moment Generating Function is developed from the existing theory of moment generating function as the expected value of powers of the exponential constant.
Matthew Chukwuma Michael +3 more
openaire +1 more source
We consider a probability distribution on the set of Boolean functions in n variables which is induced by random Boolean expressions. Such an expression is a random rooted plane tree where the internal vertices are labelled with connectives And and OR ...
Genitrini, Antoine +3 more
core +3 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Performance analysis of complex field network coding based on moment generating function
The moment generating function was introduced to analysis closed-form expression for the outage probability that the relays employ complex field network coding,and the effect on symbol error probability with various modulation mode was evaluated.Computer
Gang-zi CHEN, Jing YANG
doaj +2 more sources
Mathematical Properties of the Binomial-Poisson Distribution
This study conducts a thorough analytical exploration of the Binomial-Poisson distribution, a compound probability model where the number of Binomial trials follows a Poisson distribution. Through application of the compound distribution methodology and
A. A. Ayenigba +3 more
doaj +4 more sources

