Now showing items 77-96 of 154

• #### A Machine Learning Approach to Predict Metabolic Pathway Dynamics from Time Series Multiomics Data ﻿

(2018-05)
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 ﻿

(2019-01-01)
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 ﻿

(2010-12-31)
The spin of a single electron in an electrically defined quantum dot in a two-dimensional electron gas can be manipulated by moving the quantum dot adiabatically in a closed loop in the two-dimensional plane under the ...
• #### Mathematical modelling as a tool to understand cell self-renewal and differentiation ﻿

(2016-01-01)
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 ...
• #### Maximal regularity in $l_p$ spaces for discrete time fractional shifted equations ﻿

(2017-05-01)
In this paper, we are presenting a new method based on operator-valued Fourier multipliers to \- characterize the existence and uniqueness of $\ell_p$-solutions for discrete time fractional models in the form  ...
• #### Mechanism of hydrogen production via water splitting on 3C-SiC's different surfaces: A first-principles study ﻿

(2014-12-31)
The reaction mechanism of producing hydrogen via water splitting on the different surfaces of cubic silicon carbide (3C-SiC), the adsorption energy and the activation energy have been studied here by using density functional ...
• #### 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 ...
• #### 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 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 ...
• #### 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 ...
• #### Molecular dynamics simulations of iron- and aluminum-loaded serum transferrin: Protonation of tyr188 is necessary to prompt metal release ﻿

(2012-12-31)
Serum transferrin (sTf) carries iron in blood serum and delivers it into cells by receptor-mediated endocytosis. The protein can also bind other metals, including aluminum. The crystal structures of the metal-free and ...
• #### Molecular dynamics study on diamond nanowires mechanical properties: Strain rate, temperature and size dependent effects ﻿

(2011-12-31)
Using molecular dynamics simulations, strain rate, temperature and size dependent mechanical properties of &lt; 001 &gt; orientation diamond nanowires are investigated. It is found that, for the same cross-sectional areas, ...
• #### Molecular dynamics study on ZnO nanowires mechanical properties: Strain rate, temperature and size dependent effects ﻿

(2012-12-31)
Using molecular dynamics simulations, strain rate, temperature, size and orientation dependent mechanical properties of zinc oxide (ZnO) nanowire are carried out with tensile loading. It is found that, for the same ...
• #### Monotone iterative techniques to SIRS epidemic models with nonlinear incidence rates and distributed delays ﻿

(2011-12-31)
In this paper, for SIRS epidemic models with a class of nonlinear incidence rates and distributed delays of the forms βS(t)∫0hk(τ)G(I(t-τ) )dτ, we establish the global asymptotic stability of the disease-free equilibrium ...
• #### Monte Carlo and Quasi-Monte Carlo Density Estimation via Conditioning ﻿

(2021)
Estimating the unknown density from which a given independent sample originates is more difficult than estimating the mean, in the sense that for the best popular non-parametric density estimators, the mean integrated ...
• #### Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods ﻿

(2018-07-17)
Modified Hamiltonian Monte Carlo (MHMC) methods combine the ideas behind two popular sampling approaches: Hamiltonian Monte Carlo (HMC) and importance sampling. As in the HMC case, the bulk of the computational cost of ...
• #### Multiple-time-stepping generalized hybrid Monte Carlo methods ﻿

(2014-12-31)
Performance of the generalized shadow hybrid Monte Carlo (GSHMC) method [1], which proved to be superior in sampling efficiency over its predecessors [2-4], molecular dynamics and hybrid Monte Carlo, can be further improved ...
• #### Multiscale Modelling and Simulation of Advanced Battery Materials ﻿

(2021)
Development of efficient strategies for the rational design of materials involved in the production and storage of renewable energy is essential for accelerating the transition to a low-carbon economy. To contribute to ...