Results 61 to 70 of about 6,659,086 (346)

Water Supply Risk Analysis Based on Runoff Sequence Simulation with Change Point under Changing Environment

open access: yesAdvances in Meteorology, 2019
This study investigates the water supply risk of Panjiakou reservoir in the Luanhe River basin of China during 1956–2016 under environmental change. Since the monthly runoff series during 1956–2016 is a time series with change points, it is necessary to ...
Yafang Cheng   +4 more
doaj   +1 more source

Vaccination and variants: A COVID-19 multi-strain model evolution for the Philippines

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
Coronavirus disease 2019 (COVID-19) management and response is a challenging task due to the uncertainty and complexity of the nature surrounding the virus.
Harren J. Campos   +6 more
doaj   +1 more source

BioSimulator.jl: Stochastic simulation in Julia. [PDF]

open access: yesComput Methods Programs Biomed, 2018
Biological systems with intertwined feedback loops pose a challenge to mathematical modeling efforts. Moreover, rare events, such as mutation and extinction, complicate system dynamics. Stochastic simulation algorithms are useful in generating time-evolution trajectories for these systems because they can adequately capture the influence of random ...
Landeros A   +6 more
europepmc   +7 more sources

Stochastic Simulation of Biomolecular Networks in Dynamic Environments [PDF]

open access: yesPLoS Comput. Biol., 2015
Simulation of biomolecular networks is now indispensable for studying biological systems, from small reaction networks to large ensembles of cells. Here we present a novel approach for stochastic simulation of networks embedded in the dynamic environment
M. Voliotis   +3 more
semanticscholar   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Shaping and Dilating the Fitness Landscape for Parameter Estimation in Stochastic Biochemical Models

open access: yesApplied Sciences, 2022
The parameter estimation (PE) of biochemical reactions is one of the most challenging tasks in systems biology given the pivotal role of these kinetic constants in driving the behavior of biochemical systems.
Marco S. Nobile   +4 more
doaj   +1 more source

Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees [PDF]

open access: yesOperational Research, 2015
Any performance analysis based on stochastic simulation is subject to the errors inherent in misspecifying the modeling assumptions, particularly the input distributions.
Soumyadip Ghosh, H. Lam
semanticscholar   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Emulators for stochastic simulation codes

open access: yesESAIM: Proceedings and Surveys, 2015
Numerical simulation codes are very common tools to study complex phenomena, but they are often time-consuming and considered as black boxes. For some statistical studies (e.g. asset management, sensitivity analysis) or optimization
Moutoussamy Vincent   +2 more
doaj   +1 more source

The regime-conversion method: a hybrid technique for simulating well-mixed chemical reaction networks

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
There exist several methods for simulating biological and physical systems as represented by chemical reaction networks. Systems with low numbers of particles are frequently modeled as discrete-state Markov jump processes and are typically simulated via ...
Joshua C. Kynaston   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy