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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 ... 
Macroscopic conductivity of free fermions in disordered media
(Reviews in Mathematical Physics, 20141231)We conclude our analysis of the linear response of charge transport in lattice systems of free fermions subjected to a random potential by deriving general mathematical properties of its conductivity at the macroscopic ... 
Magnetotelluric characterization of the alhama de murcia fault (Eastern Betics)  Preliminary results
(22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016, 20161231)The Lorca Earthquake (11/5/2011, Mw 5.2) stands as the most destructive in Spain over the last 50 years. It was interpreted as having occurred in an intersegment zone of the strikeslip Alhama de Murcia Fault (AMF). Within ... 
Mallows and generalized Mallows model for matchings
(Bernoulli, 20190225)The Mallows and Generalized Mallows Models are two of the most popular probability models for distribu tions on permutations. In this paper, we consider both models under the Hamming distance. This models can be seen as ... 
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 ... 
Manytask computing on manycore architectures
(Scalable Computing, 20160101)ManyTask Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids, cloud and supercomputers, but it is not so popular in shared memory parallel processors. In this sense and given the ... 
A mathematical analysis of edas with distancebased exponential models
(GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 20190701)Estimation of Distribution Algorithms have been successfully used for solving many combinatorial optimization problems. One type of problems in which Estimation of Distribution Algorithms have presented strong competitive ... 
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 ... 
Mathematical Models of Incompressible Fluids as Singular Limits of Complete Fluid Systems
(Milan Journal of Mathematics, 20101231)A rigorous justification of several wellknown mathematical models of incompressible fluid flows can be given in terms of singular limits of the scaled NavierStokesFourier system, where some of the characteristic numbers ... 
Maximal regularity in $l_p$ spaces for discrete time fractional shifted equations
(Journal of Differential Equations, 20170501)In this paper, we are presenting a new method based on operatorvalued Fourier multipliers to \ characterize the existence and uniqueness of $\ell_p$solutions for discrete time fractional models in the form $$ ... 
Maximum Principles for vectorial approximate minimizers of nonconvex functionals
(Calculus of Variations and Partial Differential Equations, 20131231)We establish Maximum Principles which apply to vectorial approximate minimizers of the general integral functional of Calculus of Variations. Our main result is a version of the Convex Hull Property. The primary advance ... 
Meanfield dynamics of the spinmagnetization coupling in ferromagnetic materials: Application to currentdriven domain wall motions
(IEEE Transactions on Magnetics, 20151231)In this paper, we present a meanfield model of the spinmagnetization coupling in ferromagnetic materials. The model includes nonisotropic diffusion for spin dynamics, which is crucial in capturing strong spinmagnetization ... 
Measurevalued weak solutions to some kinetic equations with singular kernels for quantum particles
(20181219)In this thesis, we present a mathematical study of three problems arising in the kinetic theory of quantum gases. In the first part, we consider a Boltzmann equation that is used to describe the time evolution of the ... 
Measuring the Classimbalance Extent of Multiclass Problems
(Pattern Recognition Letter, 20170730)Since many important realworld classification problems involve learning from unbalanced data, the challenging classimbalance problem has lately received con siderable attention in the community. Most of the methodological ... 
Mechanism of hydrogen production via water splitting on 3CSiC's different surfaces: A firstprinciples study
(Computational Materials Science, 20141231)The reaction mechanism of producing hydrogen via water splitting on the different surfaces of cubic silicon carbide (3CSiC), the adsorption energy and the activation energy have been studied here by using density functional ... 
MesoGSHMC: A stochastic algorithm for mesoscale constant temperature simulations
(Procedia Computer Science, 20111231)We consider the problem of timestepping/sampling for molecular and mesoscale particle dynamics. The aim of the work is to derive numerical timestepping methods that generate samples exactly from the desired target ... 
Mesoscopic modelling and simulation of espresso coffee extraction
(Journal of Food Engineering, 2019)A mesoscopic model for the simulation of espresso extraction based on the Smoothed Particle Hydrodynamics method is presented. The model incorporates some essential features such as bimodal granulometry (finescoarses) of ... 
Metamodeling on detailed geography for accurate prediction of invasive alien species dispersal
(Scientific Reports, 20191107)Invasive species are recognized as a significant threat to biodiversity. The mathematical modeling of their spatiotemporal dynamics can provide significant help to environmental managers in devising suitable control ... 
Metastable resting state brain dynamics
(Frontiers in Computational Neuroscience, 20190906)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 ...