Results 31 to 40 of about 1,021,568 (282)

Tau acetylation at K331 has limited impact on tau pathology in vivo

open access: yesFEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto   +3 more
wiley   +1 more source

Right Truncated Shankar Distribution and its Properties

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences
       Since the importance of truncated distributions has increased in many scientific fields in recent years and they provide valuable insights when dealing with censored or truncated data, this paper presents the Right Truncated Shanker Distribution ...
Bayda Atiya Kalaf   +2 more
doaj   +1 more source

A Note on Topp-Leone Odd Log-Logistic Inverse Exponential Distribution

open access: yesJournal of Statistical Theory and Applications (JSTA), 2020
The inverse exponential distribution is widely used in the field of reliability. In this article, we present a generalization of the inverse exponential distribution in formation of Topp-Leone odd log-logistic inverse exponential distribution. We provide
Salman Abbas   +4 more
doaj   +1 more source

Generating Function for Particle-Number Probability Distribution in Directed Percolation

open access: yes, 2005
We derive a generic expression for the generating function (GF) of the particle-number probability distribution (PNPD) for a simple reaction diffusion model that belongs to the directed percolation universality class. Starting with a single particle on a
Amit D J   +13 more
core   +1 more source

A probability generating function method for stochastic reaction networks [PDF]

open access: yes, 2014
In this paper we present a probability generating function (PGF) approach for analyzing stochastic reaction networks. The master equation of the network can be converted to a partial differential equation for PGF.
Kim, Pilwon, Lee, Chang Hyeong
core   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz   +11 more
wiley   +1 more source

Rumor Spreading of an SIHR Model in Heterogeneous Networks Based on Probability Generating Function

open access: yesComplexity, 2019
This paper focuses on the modeling of a rumor spreading in heterogeneous networks. Using the probability generating function method and pair approximation method, the current research obtains nonlinear differential equations to describe the dynamics of ...
Jinxian Li, Yanping Hu, Zhen Jin
doaj   +1 more source

Generalized CreditRisk+ model and applications

open access: yesAnnales Universitatis Paedagogicae Cracoviensis: Studia Mathematica, 2015
In the paper we give a mathematical overview of the CreditRisk+ model as a tool used for calculating credit risk in a portfolio of debts and suggest some other applications of the same method of analysis.
Jakub Szotek
doaj   +1 more source

The probability distribution of the number of electron-positron pairs produced in a uniform electric field

open access: yes, 2012
The probability-generating function of the number of electron-positron pairs produced in a uniform electric field is constructed. The mean and variance of the numbers of pairs are calculated, and analytical expressions for the probability of low numbers ...
A. I. Nikishov   +12 more
core   +1 more source

Delay analysis of a two-class batch-service queue with class-dependent variable server capacity [PDF]

open access: yes, 2018
In this paper, we analyse the delay of a random customer in a two-class batch-service queueing model with variable server capacity, where all customers are accommodated in a common single-server first-come-first-served queue.
Baetens, Jens   +3 more
core   +1 more source

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