Mathematical Modelling with Multidisciplinary Applications (M3A): Envíos recientes
Now showing items 1-20 of 301
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Within-host models unravelling the dynamics of dengue reinfections
(2024-02-07)Caused by four serotypes, dengue fever is a major public health concern worldwide. Current modeling efforts have mostly focused on primary and heterologous secondary infections, assuming that lifelong immunity prevents ... -
SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country
(2023-01-01)SiliconBurmuin is aimed at creating a multi-disciplinary neurocomputing community in the Basque Country, bringing together technology and scientific research centres and industry companies. This community will: (1) identify ... -
Three-dimensional soliton-like distortions in flexoelectric nematic liquid crystals: modelling and linear analysis
(2022-01-01)This article models experimentally observed three-dimensional particle-like waves that develop in nematic liquid crystals, with negative dielectric and conductive anisotropy, when subject to an applied alternating electric ... -
Monitoring Alzheimer's disease via ultraweak photon emission
(2024-01-19)In an innovative experiment, we detected ultraweak photon emission (UPE) from the hippocampus of male rat brains and found significant correlations between Alzheimer's disease (AD), memory decline, oxidative stress, and ... -
Effects of optogenetic and visual stimulation on gamma activity in the visual cortex
(2023-11-01)Studying brain functions and activity during gamma oscillations can be a challenge because it requires careful planning to create the necessary conditions for a controlled experiment. Such an experiment consists of placing ... -
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
(2024-01-26)Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian statistical inference due to its potential to rapidly explore high dimensional state space, avoiding the random walk behavior typical of many Markov Chain Monte ... -
Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model
(2023-12-01)Most natural systems operate far from equilibrium, displaying time-asymmetric, irreversible dynamics characterized by a positive entropy production while exchanging energy and matter with the environment. Although stochastic ... -
Slow–fast dynamics in a neurotransmitter release model: Delayed response to a time-dependent input signal
(2023-12-01)We propose a generalization of the neurotransmitter release model proposed in Rodrigues et al. (2016). We increase the complexity of the underlying slow–fast system by considering a degree-four polynomial as parametrization ... -
Synchronization in STDP-driven memristive neural networks with time-varying topology
(2023-12-01)Synchronization is a widespread phenomenon in the brain. Despite numerous studies, the specific parameter configurations of the synaptic network structure and learning rules needed to achieve robust and enduring synchronization ... -
Invariants for neural automata
(2023-01-01)Computational modeling of neurodynamical systems often deploys neural networks and symbolic dynamics. One particular way for combining these approaches within a framework called vector symbolic architectures leads to neural ... -
Reducing Model Complexity by Means of the Optimal Scaling: Population Balance Model for Latex Particles Morphology Formation.
(2023-04-15)Rational computer-aided design of multiphase polymer materials is vital for rapid progress in many important applications, such as: diagnostic tests, drug delivery, coatings , additives for constructing materials, cosmetics, ... -
The crystal chemistry and reactivity of ternary Na2Fe3Cl8 from the NaCl-FeCl2 system and its potential application as coating layer for cathode in sodium ion batteries
(2023-12-15)This report explores theoretical and experimental methods to characterize the ternary phases arising from the NaCl + FeCl2 system at both low (150 °C) and high temperatures (550 °C), through milling and evaporation processing ... -
A Novel Mathematical Approach for Analysis of Integrated Cell–Patient Data Uncovers a 6-Gene Signature Linked to Endocrine Therapy Resistance
(2023-11-09)A significant number of breast cancers develop resistance to hormone therapy. This progression, while posing a major clinical challenge, is difficult to predict. Despite important contributions made by cell models and ... -
BayFlux: A Bayesian Method to Quantify Metabolic Fluxes and their Uncertainty at the Genome Scale.
(2023-11-10)Metabolic fluxes, the number of metabolites traversing each biochemical reaction in a cell per unit time, are crucial for assessing and understanding cell function. 13C Metabolic Flux Analysis (13C MFA) is considered to ... -
Anion Trapping and Ionic Conductivity Enhancement in PEO-Based Composite Polymer-Li<inf>7</inf>La<inf>3</inf>Zr<inf>2</inf>O<inf>12</inf> Electrolytes: The Role of the Garnet Li Molar Content
(2023-06-13)The successful development of all-solid-state batteries will provide solutions for many problems facing current Li-ion batteries, such as high flammability, limited energy density, poor cyclability and low cation transference ... -
Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor
(2024-01)Important biological features of viral infectious diseases caused by multiple agents with interacting strain dynamics continue to pose challenges for mathematical modelling development. Motivated by dengue fever epidemiology, ... -
Optimal vaccination strategies for a heterogenous population using multiple objectives: The case of L1 and L2-formulations
(2023-12)The choice of the objective functional in optimization problems coming from biomedical and epidemiological applications plays a key role in optimal control outcomes. In this study, we investigate the role of the objective ... -
Cost-effectiveness analysis of vaccines for COVID-19 according to sex, comorbidity and socioeconomics status: a population study
(2023-11-01)Background and Objective Coronavirus disease 2019 (COVID-19) vaccines are extremely effective in preventing severe disease, but their real-world cost-effectiveness is still an open question. We present an analysis of the ... -
A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism
(2023)Rhodococcus opacus is a bacterium that has a high tolerance to aromatic compounds and can produce significant amounts of triacylglycerol (TAG). Here, we present iGR1773, the first genome-scale model (GSM) of R. opacus PD630 ... -
Changes in Social and Clinical Determinants of COVID-19 Outcomes Achieved by the Vaccination Program: A Nationwide Cohort Study
(2022)Background: The objective of this study was to assess changes in social and clinical determinants of COVID-19 outcomes associated with the first year of COVID-19 vaccination rollout in the Basque population. Methods: A ...