Results 51 to 60 of about 2,259,132 (287)

Convergence in probability and almost sure with applications

Stochastic Processes and their Applications, 2001
The paper investigates convergence in probability of an adapted real-valued stochastic process when the time is tending to infinity. Provided convergence in law, the author presents conditions equivalent to the convergence in probability. Moreover, an almost surely convergent process is constructed in that case.
openaire   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

THE ALMOST SURE CONVERGENCE OF WEIGHTED SUMS OF NEGATIVELY DEPENDENT RANDOM VARIABLES [PDF]

Journal of Sciences, Islamic Republic of Iran, 1999
In this paper we study the almost universal convergence of weighted sums for sequence {x ,n } of negatively dependent (ND) uniformly bounded random variables, where a, k21 is an may of nonnegative real numbers such that 0(k ) for every ?> 0 and E|x
doaj  

Almost Sure Convergence of Dropout Algorithms for Neural Networks

J. Mach. Learn. Res., 2020
We investigate the convergence and convergence rate of stochastic training algorithms for Neural Networks (NNs) that have been inspired by Dropout (Hinton et al., 2012). With the goal of avoiding overfitting during training of NNs, dropout algorithms consist in practice of multiplying the weight matrices of a NN componentwise by independently drawn ...
Albert Senen-Cerda, Jaron Sanders
openaire   +5 more sources

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Non-Parametric Estimation of the Renewal Function for Multidimensional Random Fields

Mathematics
This paper addresses the almost sure convergence and the asymptotic normality of an estimator of the multidimensional renewal function based on random fields. The estimator is based on a sequence of non-negative independent and identically distributed (i.
Livasoa Andriamampionona, Victor Harison, Michel Harel   +2 more
doaj   +1 more source

Some theorems related to almost sure convergence of orthogonal series [PDF]

, 2000
We obtain new criterias for almost sure convergence of random sequences. We apply them to the study of almost sure convergence of orthogonal series and related sums.
Weber, Michel
core   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Numerical method of highly nonlinear and nonautonomous neutral stochastic differential delay equations with Markovian switching

Advances in Difference Equations, 2020
In this paper, we establish a partially truncated Euler–Maruyama scheme for highly nonlinear and nonautonomous neutral stochastic differential delay equations with Markovian switching.
Shuaibin Gao, Junhao Hu
doaj   +1 more source