Browsing Mathematical Modelling with Multidisciplinary Applications (M3A) by Title
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Impact of competitive processes on controlled radical polymerization
(Macromolecules, 20141231)The kinetics of radical polymerization have been systematically studied for nearly a century and in general are well understood. However, in light of recent developments in controlled radical polymerization many kinetic ... 
Incorporating landscape heterogeneities in the spread of an epidemics in wildlife
(Complex Systems; Control of Infectious Diseases, Extended Abstracts 2013. Ã lvaro Corral, Anna Deluca, Francesc FontClos, Pilar Guerrero, Andrei Korobeinikov, Francesco Massucci eds., Springer,.http://dx.doi.org/10.1007/9783319081380_19", 20141231)One of the main difficulties in the modeling and numerical simulation of the spread of an infectious disease in wildlife resides in properly taking into account the heterogeneities of the landscape. Forests, plains and ... 
Influence of electromechanical effects and wetting layers on band structures of AlN/GaN quantum dots and spin control
(Journal of Applied Physics, 20101231)In a series of recent papers we demonstrated that coupled electromechanical effects can lead to pronounced contributions in band structure calculations of low dimensional semiconductor nanostructures (LDSNs) such as quantum ... 
Information Flow between RestingState Networks
(Brain Connectivity, 20151231)The resting brain dynamics selforganize into a finite number of correlated patterns known as restingstate networks (RSNs). It is well known that techniques such as independent component analysis can separate the brain ... 
Interference mechanism of seemingly superluminal tunneling
(Physical Review A  Atomic, Molecular, and Optical Physics, 20131231)Apparently "superluminal" transmission, e.g., in quantum tunneling and its variants, occurs via a subtle interference mechanism which allows reconstruction of the entire spatial shape of a wave packet from its front tail. ... 
An introduction to mathematical and numerical modeling in heart electrophysiology
(2016)The electrical activation of the heart is the biological process that regulates the contraction of the cardiac muscle, allowing it to pump blood to the whole body. In physiological conditions, the pacemaker cells of the ... 
Is minimising the convergence rate the best choice for efficient Optimized Schwarz preconditioning in heterogeneous coupling? The StokesDarcy case
(2019)Optimized Schwarz Methods (OSM) are domain decomposition techniques based on Robintype interface condition that have became increasingly popular in the last two decades. Ensuring convergence also on nonoverlapping ... 
The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism
(BMC Bioinformatics, 20170101)Modeling of microbial metabolism is a topic of growing importance in biotechnology. Mathematical modeling helps provide a mechanistic understanding for the studied process, separating the main drivers from the circumstantial ... 
Lagged and instantaneous dynamical influences related to brain structural connectivity
(Frontiers in Psychology, 20151231)Contemporary neuroimaging methods can shed light on the basis of human neural and cognitive specializations, with important implications for neuroscience and medicine. Indeed, different MRI acquisitions provide different ... 
Largescale simulations of synthetic markets
(Communications in Applied and Industrial Mathematics, 20151008)Highfrequency trading has been experiencing an increase of interest both for practical purposes within nancial institutions and within academic research; recently, the UK Government O ce for Science reviewed the state ... 
A leastsquares implicit RBFFD closest point method and applications to PDEs on moving surfaces
(Journal of Computational Physics, 201810)The closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):19431961, [2008]) is an embedding method developed to solve a variety of partial differential equations (PDEs) on smooth surfaces, using a closest point ... 
Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
(ACS Synthetic Biology, 20190101)The Design–Build–Test–Learn (DBTL) cycle, facilitated by exponentially improving capabilities in synthetic biology, is an increasingly adopted metabolic engineering framework that represents a more systematic and efficient ... 
Longitudinal variations of brain functional connectivity: A case report study based on a mouse model of epilepsy
(F1000Research, 20151231)Brain Functional Connectivity (FC) quantifies statistical dependencies between areas of the brain. FC has been widely used to address altered function of brain circuits in control conditions compared to different pathological ... 
Lowtraffic limit and firstpassage times for a simple model of the continuous double auction
(Physica A: Statistical Mechanics and its Applications, 201705)We consider a simplified model of the continuous double auction where prices are integers varying from 1 to $N$ with limit orders and market orders, but quantity per order limited to a single share. For this model, the ... 
Lyapunov functional techniques for the global stability analysis of a delayed SIRS epidemic model
(Nonlinear Analysis: Real World Applications, 20121231)In this paper, we study the global dynamics of a delayed SIRS epidemic model for transmission of disease with a class of nonlinear incidence rates of the form βS(t)∫ 0 hf(τ)G(I(tτ))dτ. Applying Lyapunov functional techniques ... 
A Machine Learning Approach to Predict Metabolic Pathway Dynamics from Time Series Multiomics Data
(npj Systems Biology and Applications, 201805)New synthetic biology capabilities hold the promise of dramatically improving our ability to engineer biological systems. However, a fundamental hurdle in realizing this potential is our inability to accurately predict ... 
Machine learning framework for assessment of microbial factory performance
(Plos ONE, 20190101)Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess ... 
Manipulation of single electron spin in a GaAs quantum dot through the application of geometric phases: The Feynman disentangling technique
(Physical Review B  Condensed Matter and Materials Physics, 20101231)The spin of a single electron in an electrically defined quantum dot in a twodimensional electron gas can be manipulated by moving the quantum dot adiabatically in a closed loop in the twodimensional plane under the ... 
Mathematical modelling as a tool to understand cell selfrenewal and differentiation
(Methods in Molecular Biology, 20160101)Mathematical modeling is a powerful technique to address key questions and paradigms in a variety of complex biological systems and can provide quantitative insights into cell kinetics, fate determination and development ...