Browsing Mathematical Modelling with Multidisciplinary Applications (M3A) by Title
Now showing items 154-173 of 301
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Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations
(2011-12-31)We consider the problem of time-stepping/sampling for molecular and meso-scale particle dynamics. The aim of the work is to derive numerical time-stepping methods that generate samples exactly from the desired target ... -
Meta-modeling on detailed geography for accurate prediction of invasive alien species dispersal
(2019-11-07)Invasive species are recognized as a significant threat to biodiversity. The mathematical modeling of their spatio-temporal dynamics can provide significant help to environmental managers in devising suitable control ... -
Metastable resting state brain dynamics
(2019-09-06)Metastability refers to the fact that the state of a dynamical system spends a large amount of time in a restricted region of its available phase space before a transition takes place, bringing the system into another state ... -
Microbial production of advanced biofuels
(2021)Concerns over climate change have necessitated a rethinking of our transportation infrastructure. One possible alternative to carbon-polluting fossil fuels are biofuels produced from a renewable carbon source using engineered ... -
Microstructures of constrained shape memory alloy nanowires under thermal effects
(2010-12-31)In this paper, martensitic transformations in constrained Fe-Pd nanowires are studied using a mesoscopic model analyzed in detail numerically in our earlier papers. The dynamics of squareto-rectangular transformation is ... -
Modeling and optimal control of dengue disease with screening and information
(2021-11-27)This study presents a mathematical model for dengue transmission which quantifies two very important aspects: one, the impact of information-based behavioural response, and the other, the segregation of infected human ... -
Modeling cardiac structural heterogeneity via space-fractional differential equations
(2017)We discuss here the use of non-local models in space and fractional order operators in the characterisation of structural complexity and the modeling of propagation in heterogeneous biological tissues. In the specific, we ... -
Modeling COVID-19: Challenges and results
(2020-10)Weird times we are living in. While lots of technological, medical and scientific advances are generated in a short period of time, we are now fighting a pandemic, trying to stop the spread of a new virus that has not only ... -
Modeling dengue immune responses mediated by antibodies: A qualitative study
(2021-09-01)Dengue fever is a viral mosquito-borne infection and a major international public health concern. With 2.5 billion people at risk of acquiring the infection around the world, disease severity is influenced by the immunological ... -
Modeling Dengue Immune Responses Mediated by Antibodies: Insights on the Biological Parameters to Describe Dengue Infections
(2022-03-18)Dengue fever is a viral mosquito-borne disease, a significant global health concern, with more than one third of the world population at risk of acquiring the disease. Caused by 4 antigenically distinct but related virus ... -
Modeling latent infection transmissions through biosocial stochastic dynamics
(2020-08)The events of the recent SARS-CoV-2 epidemics have shown the importance of social factors, especially given the large number of asymptomatic cases that effectively spread the virus, which can cause a medical emergency to ... -
Modeling microstructure evolution in shape memory alloy rods via Legendre wavelets collocation method
(2019)Microstructures play an important role in the research on shape memory alloys (SMA). By using mathematical modeling tools to study microstructures, it is possible to predict the behaviors of these materials under applied ... -
Modeling secondary infections with temporary immunity and disease enhancement factor: Mechanisms for complex dynamics in simple epidemiological models
(2022-10-04)Modeling insights for epidemiological scenarios characterized by chaotic dynamics have been largely unexplored. A rigorous analysis of such systems are essential for a real predictive power and a more accurate disease ... -
Modeling the initial phase of COVID-19 epidemic: The role of age and disease severity in the Basque Country, Spain
(2022-07-13)Declared a pandemic by the World Health Organization (WHO), COVID-19 has spread rapidly around the globe. With eventually substantial global underestimation of infection, by the end of March 2022, more than 470 million ... -
Modeling the transmission dynamics and vaccination strategies for human papillomavirus infection: An optimal control approach
(2022-12)Human papillomavirus (HPV) vaccines have been introduced in several countries and have shown positive results in reducing HPV infection and related diseases. Nevertheless, immunization programs remain sub-optimal and more ... -
Modelling COVID 19 in the Basque Country from introduction to control measure response
(2020-10)In March 2020, a multidisciplinary task force (so‐called Basque Modelling Task Force, BMTF) was created to assist the Basque health managers and Government during the COVID‐19 responses. BMTF is a modelling team, working ... -
Modelling Holling type II functional response in deterministic and stochastic food chain models with mass conservation
(2022-03-01)The Rosenzweig-MacArthur predator-prey model is the building block in modeling food chain, food webs and ecosystems. There are a number of hidden assumptions involved in the derivation. For instance the prey population ... -
Modelling of Thermal Sterilization of high-moisture snack foods: feasibility analysis and optimization
(2018-01)High-moisture snacks, such as steamed buns and rice cakes, are traditional and popular in Asian countries. However, their shelf life is short, primarily due to microbial spoilage. Current manufacturing methods address this ... -
Modified Hamiltonian Monte Carlo for Bayesian Inference
(2019-07-22)The Hamiltonian Monte Carlo (HMC) method has been recognized as a powerful sampling tool in computational statistics. We show that performance of HMC can be significantly improved by incorporating importance sampling and ...