Results 41 to 50 of about 1,147,771 (298)
This work examines the asymptotic characteristics of a conditional set-indexed empirical process composed of functional ergodic random variables with missing at random (MAR).
Salim Bouzebda +2 more
doaj +1 more source
Stochastic Modeling of Particle Transport in Confined Geometries: Problems and Peculiarities
The equivalence between parabolic transport equations for solute concentrations and stochastic dynamics for solute particle motion represents one of the most fertile correspondences in statistical physics originating from the work by Einstein on Brownian
Giuseppe Procopio, Massimiliano Giona
doaj +1 more source
Anchorage‐independent and faster growth in clonal population from UV‐irradiated NER‐deficient cells
UV‐irradiated cells expressing a DDB2 mutant protein unable to interact with PCNA (DDB2PCNA‐) form clones able to grow without anchorage. Different experimental approaches reveal heterogeneity in cell cycle regulation and drug response within these clones, emphasizing the crucial role of the DDB2‐PCNA interaction in preventing cellular transformation ...
Paola Perucca +6 more
wiley +1 more source
Stochastic firing rate models [PDF]
We review a recent approach to the mean-field limits in neural networks that takes into account the stochastic nature of input current and the uncertainty in synaptic coupling. This approach was proved to be a rigorous limit of the network equations in a
Cessac, Bruno +3 more
core +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
The scope of this paper is to evaluate the short-term predictive capacity of the stochastic models ARIMA, Transfer Function (TF) and Artificial Neural Networks for water parameters, specifically for 1, 2 and 3 steps forward (m = 1, 2 and 3).
Antonis Sentas +5 more
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
A phase type survival tree model for clustering patients’ hospital length of stay [PDF]
Clinical investigators, health professionals and managers are often interested in developing criteria for clustering patients into clinically meaningful groups according to their expected length of stay.
Garg, Lalit +4 more
core
The main aim of this paper is to improve the existing limit theorems for set-indexed conditional empirical processes involving functional strong mixing random variables.
Youssouf Souddi, Salim Bouzebda
doaj +1 more source
Spatio-temporal prediction of water production in basins without records
This study carried out the spatio-temporal prediction of water production in two micro-basins without records, located in Venezuela. Geomorphological characteristics of micro-basins were obtained using digital elevation models acquired from ALOS PALSAR ...
Adriana Mercedes Marquez +3 more
doaj +1 more source

