• Numerical efficacy study of data assimilation for the 2D magnetohydrodynamic equations 

  Hudson, Joshua; Jolly, Michael (American Institute of Mathematical Sciences, 2019-06)

  We study the computational efficiency of several nudging data assimilation algorithms for the 2D magnetohydrodynamic equations, using varying amounts and types of data. We find that the algorithms work with much less ...

• Data Compression for Optimization of a Molecular Dynamics System: Preserving Basins of Attraction 

  Retzlaff, Michael; Munson, Todd; Di, Zichao (Wendy) (Springer, Cham, 2019-06-08)

  Understanding the evolution of atomistic systems is essential in various fields such as materials science, biology, and chemistry. The gold standard for these calculations is molecular dynamics, which simulates the dynamical ...

• Fast implementation of mixed RT0 finite elements in MATLAB 

  Weinberg, Theodore

  We develop a fast implementation of the mixed finite element method for the Darcy’s problem discretized by lowest-order Raviart-Thomas finite elements using Matlab. The implementation is based on the so-called vectorized ...

• Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences 

  Majumder, Reetam; Walid, Redwan; Zheng, Jianyu (2019)

  The Potomac River Basin is a watershed located on the East Coast of the USA across West Virginia, Virginia, Pennsylvania, Maryland, and the District of Columbia. Inter-annual variations in precipitation makes it challenging ...

• An Approach to Tuning Hyperparameters in Parallel: A Performance Study Using Climate Data CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences 

  Becker, Charlie; Mayfield, Will D.; Murphy, Sarah Y.; Wang, Bin (2019)

  The ability to predict violent storms and bad weather conditions with current models can be difficult due to the immense complexity associated with weather simulation. For example when predicting a tornado caution must be ...

• The cone of Z-transformations on Lorentz cone 

  Nemeth, Sandor Zoltan; Gowda, Muddappa S. (University of Wyoming, 2019-09)

  In this paper, the structural properties of the cone of Z-transformations on the Lorentz cone are described in terms of the semidefinite cone and copositive/completely positive cones induced by the Lorentz cone and its ...

• Visual Deficits and Dysfunctions Associated with Traumatic Brain Injury: A Systematic Review and Meta-analysis 

  Merezhinskaya, Natalya; Mallia, Rita K.; Park, DoHwan; Bryden, Daniel W.; Mathur, Karan; Barker II, Felix M (American Academy of Optometry, 2019-05-04)

  SIGNIFICANCE This study reports prevalence data combined independently for accommodative dysfunction, convergence insufficiency, visual field loss, and visual acuity loss in patients with traumatic brain injury in the ...

• Neurological Manifestation of Incretin-Based Therapies in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis 

  Le, Gao; Shuqing, Yu; Andrea, Cipriani; Shanshan, Wu; Yi, Huang; Zilu, Zhang; Jun, Yang; Yixin, Sun; Zhirong, Yang; Sanbao, Chai; Yuan, Zhang; Linong, Ji; Siyan, Zhan; Feng, Sun (Aging and Disease, 2019-03-03)

  As a new class of antidiabetic drug, incretin-based therapies, which include dipeptidyl peptidase-4 inhibitors (DPP-4Is) and glucagon-like peptide-1 receptor agonists (GLP-1 RAs), have raised concerns about symptoms of ...

• Stochastic precedence and minima among dependent variables. A study based on the multivariate conditional hazard rates 

  Santis, Emilio De; Malinovsky, Yaakov; Spizzichino, Fabio (2019-05-16)

  Abstract. The notion of stochastic precedence between two random variables emerges as a relevant concept in several fields of applied probability. When one consider a vector of random variables X1, ..., Xn, this notion ...

• Multiple Imputation for Parametric Inference Under a Differentially Private Laplace Mechanism 

  Klein, Martin; Sinha, Bimal (2019-05-09)

  In this paper we consider the scenario where continuous microdata have been noise infused using a differentially private Laplace mechanism for the purpose of statistical disclosure control. We assume the original data ...

• Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling 

  Klein, Martin; Moura, Ricardo; Sinha, Bimal (2019-05-07)

  In this paper we consider singly imputed synthetic data generated via plug-in sampling under the multivariate normal model. Based on the observed synthetic dataset, we derive a statistical test for the generalized variance, ...

• Note on Mean Vector Testing for High-Dimensional Dependent Observations 

  Cho, Seonghun; Lim, Johan; Ayyala, Deepak Nag; Park, Junyong; Roy, Anindya (2019-04-19)

  For the mean vector test in high dimension, Ayyala et al.(2017,153:136-155) proposed new test statistics when the observational vectors are M dependent. Under certain conditions, the test statistics for one-same and ...

• Cervical Cancer Screening and Gynecologic Visit Rates for Medicaid Enrollees with Mental and Substance Use Disorders 

  Abrams, Michael T.; Chen, Susan; Boddie-Willis, Cynthia; Myers, Carol S.; Feldman, Stephanie M.; McMahon, Robert P.; Kelly, Deanna L.; Park, Junyong (The Hilltop Institute, 2010-11-10)

  Hilltop Senior Research Analyst Michael Abrams, MPH, gave this presentation at the 138th American Public Health Association (APHA) Annual Meeting held November 6 through 10, 2010, in Denver, Colorado. Cervical Cancer ...

• Stochastic Binary Opinion Model 

  Stamoulas, Serap Tay; Rathinam, Muruhan (2019-02-06)

  We study a stochastic binary opinion model where agents in a group are considered to hold an opinion of 0 or 1 at each moment. An agent in the group updates his/her opinion based on the group's opinion configuration and ...

• A Unified Approach for Solving Sequential Selection Problems 

  Goldenshluger, Alexander; Malinovsky, Yaakov; Zeevi, Assaf (2019-05-27)

  In this paper we develop a unified approach for solving a wide class of sequential selection problems. This class includes, but is not limited to, selection problems with no-information, rank-dependent rewards, and considers ...

• A Riesz-Thorin type interpolation theorem in Euclidean Jordan algebras 

  Gowda, M. Seetharama; Sznajder, Roman (2019-05-07)

  In a Euclidean Jordan algebra V of rank n which carries the trace inner product, to each element a we associate the eigenvalue vector λ(a) in Rn whose components are the eigenvalues of a written in the decreasing order. ...

• Minimax Lower Bound of k-Monotone Estimation in the Sup-norm 

  Lebair, Teresa M.; Shen, Jinglai (IEEE, 2019-04-18)

  Belonging to the framework of shape constrained estimation, k-monotone estimation refers to the nonparametric estimation of univariate k-monotone functions, e.g., monotone and convex unctions. This paper develops minimax ...

• Attractors and Determining Functionals for A Flutter Model: Finite Dimensionality Out of Thin Air 

  Webster, Justin T. (2019-04-24)

  We establish the effective {\em finite dimensionality} of the dynamics corresponding to a flow-plate interaction PDE model arising in aeroelasticity: a nonlinear panel, in the absence of rotational inertia, immersed in an ...

• Strong and Weak Scalability Studies for the 2-D Poisson Equation on the Taki 2018 Cluster 

  Barajas, Carlos; Gobbert, Matthias K. (2019)

  The new 2018 nodes in the cluster taki in the UMBC High Performance Computing Facility contain two 18-core Intel Skylake CPUs and 384 GB of memory per node, connected by an EDR (Enhanced Data Rate) InfiniBand interconnect. ...

• Interval Estimation of the Overlapping Coefficient of Two Exponential Distributions 

  Jose, Sibil; Thomas, Seemon; Mathew, Thomas (Atlantis Press SARL, 2019-04-22)

  For the overlapping coefficient between two one-parameter or two-parameter exponential distributions, confidence intervals are developed using generalized pivotal quantities. The accuracy of the proposed solutions are ...

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