• Flipping the switch on the hub cell: Islet desynchronization through cell silencing 

  Hogan, Janita P.; Peercy, Bradford E. (PLOS, 2021-04-08)

  Pancreatic β cells, responsible for secreting insulin into the bloodstream and maintaining glucose homeostasis, are organized in the islets of Langerhans as clusters of electrically coupled cells. Gap junctions, connecting ...

• On the negative dependence inequalities and maximal score in round-robin tournament 

  Malinovsky, Yaakov; Moon, John W.

  We extend Huber's (1963) inequality for the joint distribution function of negative dependent scores in the round-robin tournament. As a byproduct, this extension implies convergence in probability of the maximal score in ...

• Fully Distributed Optimization based CAV Platooning Control under Linear Vehicle Dynamics 

  Shen, Jinglai; Kammara, Eswar Kumar H.; Du, Lili

  This paper develops distributed optimization based, platoon centered CAV car following schemes, motivated by the recent interest in CAV platooning technologies. Various distributed optimization or control schemes have been ...

• Weak Solutions for a Poro-elastic Plate System 

  Gurvich, Elena; Webster, Justin T. (2021-03-16)

  We consider a recent plate model obtained as a scaled limit of the three dimensional Biot system of poro-elasticity. The result is a "2.5" dimensional linear system that couples traditional Euler-Bernoulli plate dynamics ...

• Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences 

  Wang, Jianwu; Gobbert, Matthias K.; Zhang, Zhibo; Gangopadhyay, Aryya (UMBC HPCF, 2020)

  Given the context of many institutions moving to online instruction due to the COVID-19 pandemic in 2020, we share our experiences of an online team-based multidisciplinary education program on big data + high performance ...

• State and parameter estimation from exact partial state observation in stochastic reaction networks 

  Rathinam, Muruhan; Yu, Mingkai (2020-12-09)

  We consider chemical reaction networks modeled by a discrete state and continuous in time Markov process for the vector copy number of the species and provide a novel particle filter method for state and parameter estimation ...

• ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling 

  Ma, Yingbo; Gowda, Shashi; Anantharaman, Ranjan; Laughman, Chris; Shah, Viral; Rackauckas, Chris

  Getting good performance out of numerical equation solvers requires that the user has provided stable and efficient functions representing their model. However, users should not be trusted to write good code. In this ...

• Nested Group Testing Procedures for Screening 

  Malinovsky, Yaakov; Albert, Paul S.

  This article reviews a class of adaptive group testing procedures that operate under a probabilistic model assumption as follows. Consider a set of N items, where item i has the probability p (pi in the generalized group ...

• A generalized model of flocking with steering 

  Djokam, Guy A.; Rathinam, Muruhan (2021-02-07)

  We introduce and analyze a model for the dynamics of flocking and steering of a finite number of agents. In this model, each agent's acceleration consists of flocking and steering components. The flocking component is a ...

• A High‐Dimensional Classification Rule Using Sample Covariance Matrix Equipped With Adjusted Estimated Eigenvalues 

  Baek, Seungchul; Park, Hoyoung; Park, Junyong (Wiley Online Library, 2021-02-03)

  High‐dimensional classification have had challenges mainly due to the singularity issue of the sample covariance matrix. In this work, we propose a different approach to get a more reliable sample covariance matrix by ...

• On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity 

  Sousedík, Bedřich; Elman, Howard C.; Lee, Kookjin; Price, Randy (2021-02-28)

  We study linear stability of solutions to the Navier\textendash Stokes equations with stochastic viscosity. Specifically, we assume that the viscosity is given in the form of a~stochastic expansion. Stability analysis ...

• Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem 

  Williamson, Kevin; Cho, Heyrim; Sousedík, Bedřich (2021-02-13)

  The Stokes-Brinkman equations model fluid flow in highly heterogeneous porous media. In this paper, we consider the numerical solution of the Stokes-Brinkman equations with stochastic permeabilities, where the permeabilities ...

• The microglia response to electrical overstimulation of the retina imaged under a transparent stimulus electrode 

  Yohannes, Alula R; Jung, Christopher Yi; Shea, Katherine I; Wong, Wai T; Beylin, Alexander; Cohen, Ethan D (IOP, 2021-01-08)

  Objective: We investigated using the morphological response of retinal microglia as indicators of tissue damage from electrical overstimulation by imaging them through an optically transparent stimulus electrode. Approach: ...

• Adaptively Solving the Local-Minimum Problem for Deep Neural Networks 

  Wang, Huachuan; Lo, James Ting-Ho

  This paper aims to overcome a fundamental problem in the theory and application of deep neural networks (DNNs). We propose a method to solve the local minimum problem in training DNNs directly. Our method is based on the ...

• Stochastic Approximation Algorithm for Estimating Mixing Distribution for Dependent Observations 

  Guha, Nilabja; Roy, Anindya

  Estimating the mixing density of a mixture distribution remains an interesting problem in statistics literature. Using a stochastic approximation method, Newton and Zhang (1999) introduced a fast recursive algorithm for ...

• Incorporating age and delay into models for biophysical systems 

  KhudaBukhsh, Wasiur R.; Kang, Hye-Won; Kenah, Eben; Rempala, Grzegorz A.

  In many biological systems, chemical reactions or changes in a physical state are assumed to occur instantaneously. For describing the dynamics of those systems, Markov models that require exponentially distributed inter-event ...

• Long-time dynamics of a hinged-free plate driven by a non-conservative force 

  Bonheure, Denis; Gazzola, Filippo; Lasiecka, Irena; Webster, Justin T. (2020-07-06)

  A partially hinged, partially free rectangular plate is considered, with the aim to address the possible unstable end behaviors of a suspension bridge subject to wind. This leads to a nonlinear plate evolution equation ...

• The Simultaneous Assessment of Normality and Homoscedasticity in One-Way Random Effects Models 

  Yang, Ye; Mathew, Thomas (Society of Statistics, Computer and Applications, 2020-06-28)

  The article investigates the simultaneous assessment of normality and homoscedasticity in a one-way random effects model. Test procedures are developed assuming a smooth alternative to the normal distribution, specified ...

• Individual and community-level risk for COVID-19 mortality in the United States 

  Jin, Jin; Agarwala, Neha; Kundu, Prosenjit; Harvey, Benjamin; Zhang, Yuqi; Wallace, Eliza; Chatterjee, Nilanjan (Nature, 2020-12-11)

  Reducing COVID-19 burden for populations will require equitable and effective risk-based allocations of scarce preventive resources, including vaccinations. To aid in this effort, we developed a general population risk ...

• Low-Order Model of Biological Neural Networks 

  Wang, Huachuan; Ting-Ho Lo, James (2020-12-12)

  A biologically plausible low-order model (LOM) of biological neural networks is a recurrent hierarchical network of dendritic nodes/trees, spiking/nonspiking neurons, unsupervised/ supervised covariance/accumulative learning ...

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