Optimal Adaptive Testing for Epidemic Control: Combining Molecular and Serology Tests [0.03%]
流行病控制的最佳适应性检测方法：分子和血清学检测的结合
Daron Acemoglu,Alireza Fallah,Andrea Giometto et al.
Daron Acemoglu et al.
Epidemic interventions based on surveillance testing programs are a fundamental tool to control the first stages of new epidemics, yet they are costly, invasive and rely on scarce resources, limiting their applicability. To overcome these c...
Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space [0.03%]
基于希尔伯特空间的LQG方法的连续血糖监测及盲反卷积化模型研究
Mengsha Yao,Susan E Luczak,I Gary Rosen
Mengsha Yao
LQG control in Hilbert space, a novel approach for random abstract parabolic systems, and new transdermal alcohol biosensor technology are combined to yield tracking controllers that can be used to automate inpatient management of alcohol w...
Luigi Palopoli,Daniele Fontanelli,Marco Frego et al.
Luigi Palopoli et al.
We propose a Markovian stochastic approach to model the spread of a SARS-CoV-2-like infection within a closed group of humans. The model takes the form of a Partially Observable Markov Decision Process (POMDP), whose states are given by the...
Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems [0.03%]
最小化SIR系统中的流行病最终规模的同时控制感染峰值流行度
Juan Sereno,Alejandro Anderson,Antonio Ferramosca et al.
Juan Sereno et al.
Mathematical models are critical to understand the spread of pathogens in a population and evaluate the effectiveness of non-pharmaceutical interventions (NPIs). A plethora of optimal strategies has been recently developed to minimize eithe...
Closed-form expressions and nonparametric estimation of COVID-19 infection rate [0.03%]
COVID-19感染率的显式表达式和非参估计方法
Mauro Bisiacco,Gianluigi Pillonetto,Claudio Cobelli
Mauro Bisiacco
Quantitative assessment of the infection rate of a virus is key to monitor the evolution of an epidemic. However, such variable is not accessible to direct measurement and its estimation requires the solution of a difficult inverse problem....
Biqiang Mu,Tianshi Chen,Changming Cheng et al.
Biqiang Mu et al.
This paper investigates the uniqueness of parameters via persistence of excitation for switched linear systems. The main contribution is a much weaker sufficient condition on the regressors to be persistently exciting that guarantees the un...
A fully distributed traffic allocation algorithm for nonconcave utility maximization in connectionless communication networks [0.03%]
无连接通信网络非凹实用户最优分配的完全分布式流量分配算法
Jingyao Wang,Mahmoud Ashour,Constantino M Lagoa et al.
Jingyao Wang et al.
As IP video services have emerged to be the predominant Internet application, how to optimize the Internet resource allocation, while satisfying the quality of experience (QoE) for users of video services and other Internet applications bec...
Estimating the Distribution of Random Parameters in a Diffusion Equation Forward Model for a Transdermal Alcohol Biosensor [0.03%]
基于透皮酒精生物传感器的扩散方程正演模型中随机参数的概率分布估计方法研究
Melike Sirlanci,Susan E Luczak,Catharine E Fairbairn et al.
Melike Sirlanci et al.
We estimate the distribution of random parameters in a distributed parameter model with unbounded input and output for the transdermal transport of ethanol in humans. The model takes the form of a diffusion equation with the input being the...
Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control [0.03%]
基于非线性模型预测控制的药物输入对昼夜节律同步校准
John H Abel,Ankush Chakrabarty,Elizabeth B Klerman et al.
John H Abel et al.
The widespread adoption of closed-loop control in systems biology has resulted from improvements in sensors, computing, actuation, and the discovery of alternative sites of targeted drug delivery. Most control algorithms for circadian phase...
Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance [0.03%]
基于速度加权与速度惩罚的人工胰腺预测控制算法：兼具安全性和有效性的方法
Ravi Gondhalekar,Eyal Dassau,Francis J Doyle rd
Ravi Gondhalekar
A novel Model Predictive Control (MPC) law for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is to simultaneously enhance both the safety and performance of an ...