Systems biology of persistent infection: tuberculosis as a case study
D Young, J Stark, D Kirschner - Nature Reviews Microbiology, 2008 - nature.com
The human immune response does an excellent job of clearing most of the pathogens that
we encounter throughout our lives. However, some pathogens persist for the lifetime of the …
we encounter throughout our lives. However, some pathogens persist for the lifetime of the …
[图书][B] Modeling and analysis of compositional data
Modeling and Analysis of Compositional Data presents a practical and comprehensive
introduction to the analysis of compositional data along with numerous examples to illustrate …
introduction to the analysis of compositional data along with numerous examples to illustrate …
Advances in the dynamics of origami structures and origami metamaterials
F Hongbin, W Haiping, L Zuolin, Z Qiwei… - Chinese Journal of …, 2022 - lxxb.cstam.org.cn
Recently, due to the infinite design space, outstanding capability in changing shape,
dimension, and topology, as well as the folding-induced extraordinary mechanical …
dimension, and topology, as well as the folding-induced extraordinary mechanical …
折纸结构和折纸超材料动力学研究进展
方虹斌, 吴海平, 刘作林, 张琦炜, 徐鉴 - 力学学报, 2022 - lxxb.cstam.org.cn
折纸结构和折纸超材料由于其无穷的设计空间, 突出的变形状, 变大小, 变拓扑特性,
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
Analysis of the COVID-19 pandemic using a compartmental model with time-varying parameters fitted by a genetic algorithm
Y Zelenkov, I Reshettsov - Expert Systems with Applications, 2023 - Elsevier
Analyzing the COVID-19 pandemic is a critical factor in developing effective policies to deal
with similar challenges in the future. However, many parameters (eg, the actual number of …
with similar challenges in the future. However, many parameters (eg, the actual number of …
Linear latent force models using Gaussian processes
MA Alvarez, D Luengo… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Purely data-driven approaches for machine learning present difficulties when data are
scarce relative to the complexity of the model or when the model is forced to extrapolate. On …
scarce relative to the complexity of the model or when the model is forced to extrapolate. On …
[HTML][HTML] Uncovering personal circadian responses to light through particle swarm optimization
J Vicente-Martínez, MÁ Bonmatí-Carrión… - Computer Methods and …, 2024 - Elsevier
Background and objectives Kronauer's oscillator model of the human central pacemaker is
one of the most commonly used approaches to study the human circadian response to light …
one of the most commonly used approaches to study the human circadian response to light …
Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters
I Dattner, CAJ Klaassen - 2015 - projecteuclid.org
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a
system of differential equations. Such a system is usually characterized via unknown …
system of differential equations. Such a system is usually characterized via unknown …
Systems pathology—taking molecular pathology into a new dimension
D Faratian, RG Clyde, JW Crawford… - Nature Reviews Clinical …, 2009 - nature.com
The wealth of morphological, histological, and molecular data from human cancers available
to pathologists means that pathology is poised to become a truly quantitative systems …
to pathologists means that pathology is poised to become a truly quantitative systems …
Differential equations in data analysis
I Dattner - Wiley Interdisciplinary Reviews: Computational …, 2021 - Wiley Online Library
Differential equations have proven to be a powerful mathematical tool in science and
engineering, leading to better understanding, prediction, and control of dynamic processes …
engineering, leading to better understanding, prediction, and control of dynamic processes …