Physical Sciences and Mathematics Commons^™

Longitudinal Profile And Sediment Mobility As Geomorphic Tools To Interpret The History Of A Fluviokarst Stream System, John Woodside, Eric Peterson, Toby Dogwiler

Eric Wade Peterson

The complex drainage systems within karst settings can result in atypical longitudinal profiles. Features, such as cave entrances, can be expressed as anomalous ‘bumps’ in the longitudinal profile of a stream if downcutting has continued upstream of the area in which the water is pirated to the subsurface. Horn Hollow, a fluviokarst valley located in Carter Caves State Park Resort in northeastern Kentucky, was examined for these types of features. The objectives of this study were to determine if sediment mobility can be used as a proxy for anomalous areas along the profile of the valley and if detailed cross-sections …

Turkers, Scholars, "Arafat" And "Peace": Cultural Communities And Algorithmic Gold Standards, Shilad Sen, M. Giesel, R. Gold, B. Hillmann, M. Lesicko, S. Naden, J. Russell, Z. Wang, B. Hecht

Shilad Sen

No abstract provided.

The Role Of Histidine Residues In The Specificity Of The Human Zinc Transporter Hzip4, Robert Dempski, Sagar Antala, Elizabeth Bafaro

Robert E. Dempski

ZIP transporters, named after the zinc regulated (Zrt) and iron regulated (Irt) transport proteins, are essential for zinc and iron translocation across cellular membranes. These proteins function to increase the cytosolic concentration of transition metals. While both zinc and iron are essential micronutrients which are required for the structure and/or function of hundreds of cellular proteins, the molecular mechanism of ZIP transporters is not well understood. Complicating mechanistic studies is the observation that the concentration of free zinc and iron is nano to picomolar.

1. Estimation Of Stress-Strength Reliability From Truncated Type-I Generalized Logistic Distribution, Srinivasa Rao Gadde

Srinivasa Rao Gadde Dr.

No abstract provided.

The Lyman Alpha Reference Sample: V. Empirical Inferences On The Lyman Alpha Output From High-Resolution Ultraviolet Spectroscopy, T. Rivera-Thorsen, M. Hayes, G. Ostlin, F. Duval, I. Orlitova, A. Verhamme, J. Mas-Hesse, D. Schaerer, John Cannon, H. Oti-Floranes, A. Sandberg, L. Guaita, A. Adamo, H. Atek, E. Herenz, D. Kunth, P. Laursen, J. Melinder

John Cannon

No abstract provided.

Implantable Polymer/Metal Thin Film Structures For The Localized Treatment Of Cancer By Joule Heating, Nima Rahbar, Kwabena Kan-Dapaah, Christian Theriault, Wole Soboyejo

Nima Rahbar

This paper presents an implantable polymer/metal alloy thin film structure for localized post-operative treatment of breast cancer. A combination of experiments and models is used to study the temperature changes due to Joule heating by patterned metallic thin films embedded in poly-dimethylsiloxane. The heat conduction within the device and the surrounding normal/cancerous breast tissue is modeled with three-dimensional finite element method (FEM). The FEM simulations are used to explore the potential effects of device geometry and Joule heating on the temperature distribution and lesion (thermal dose). The FEM model is validated using a gel model that mimics biological media. The …

The Pascal Matrix Function And Its Applications To Bernoulli Numbers And Bernoulli Polynomials And Euler Numbers And Euler Polynomials, Tian-Xiao He, Jeff Liao, Peter Shiue

Tian-Xiao He

Wavelet Analysis And Applications In Economics And Finance, Tian-Xiao He, Tung Nguyen, '15

Tian-Xiao He

Rotation Period Of 584 Semiramis, Linda French, Kyle Connour, Tyler Wright

Linda French

Three-Dimensional Geologic Model Of The Pecatonica Gas Storage Field, Winnebago County, Illinois, Nicole Kron, David Malone, Eric Peterson

Eric Wade Peterson

Stratigraphy And Porosity Modeling Of Southern Centeral Illinois Chester (Upper Missisippian) Series Sandstones Usng Petrel, Darren Kimple, Eric Peterson, David Malone

Eric Wade Peterson

Probabilistic Analysis Of The Economic Impact Of Earthquake Prediction Systems, Tiffany Kolba, Ruyue Yuan

Tiffany N Kolba

Identification Of Potential Vertical Gas Migration Pathways Above Gas Storage Reservoirs, Eric Peterson, Lauren Martin, David Malone

Eric Wade Peterson

Predicting Financial Distress: A Comparison Of Survival Analysis And Decision Tree Techniques, Adrian Gepp, Kuldeep Kumar

Adrian Gepp

Financial distress and then the consequent failure of a business is usually an extremely costly and disruptive event. Statistical financial distress prediction models attempt to predict whether a business will experience financial distress in the future. Discriminant analysis and logistic regression have been the most popular approaches, but there is also a large number of alternative cutting – edge data mining techniques that can be used. In this paper, a semi-parametric Cox survival analysis model and non-parametric CART decision trees have been applied to financial distress prediction and compared with each other as well as the most popular approaches. This …

Characterizing The Star Formation Of The Low-Mass Shield Galaxies From Hubble Space Telescope Imaging, K. Mcquinn, John Cannon, A. Dolphin, E. Skillman, M. Haynes, J. Simones, J. Salzer, E. Adams, E. Elson, R. Giovanelli, J. Ott

John Cannon

No abstract provided.

Matching Methods For Biomarker Evaluation: A Mapping With Causal Inference, Debashis Ghosh, Michael Sabel

Debashis Ghosh

In many medical settings, there is interest in evaluating the predictive ability of a candidate biomarker while adjusting appropriately for confounding factors. Recently, Janes and Pepe (2008, {\it Biometrics} 64: 1 -- 9) evaluated the effects of matching on classification accuracy for biomarkers. In this article, we note an analogy between the use of matching in causal inference with its role in the biomarker evaluation problem. This leads us to be able to import much of the literature on matching from causal inferential settings to the biomarker evaluation problem. This leads to a theoretical characterization of the bias properties of …

Semiparametric Theory And Empirical Processes In Causal Inference, Edward Kennedy

Edward H. Kennedy

In this paper we review important aspects of semiparametric theory and empirical processes that arise in causal inference problems. We begin with a brief introduction to the general problem of causal inference, and go on to discuss estimation and inference for causal effects under semiparametric models, which allow parts of the data-generating process to be unrestricted if they are not of particular interest (i.e., nuisance functions). These models are very useful in causal problems because the outcome process is often complex and difficult to model, and there may only be information available about the treatment process (at best). Semiparametric theory …

Chalcogen Extrusion From Heteroallenes And Carbon Monoxide By A Three-Coordinate Rh(I) Disilylamide, M. Whited, L. Qiu, A. Kosanovich, Daron E. Janzen

Daron E Janzen

No abstract provided.

Multistrain Infections In Metapopulations, Sydney Garmer, Rachel Lynn, Dan Rossi, Alex Capaldi

Alex Capaldi

Investigating Anthropogenic Mammoth Extinction With Mathematical Models, Michael Frank, Anneliese Slaton, Teresa Tinta, Alex Capaldi

Alex Capaldi

Colloidal Plasmonic Titanium Nitride Nanoparticles: Properties And Applications, Urcan Guler, Sergey Suslov, Alexander V. Kildishev, Alexandra Boltasseva, Vladimir M. Shalaev

U. Guler

Analyzing Latency-Aware Self-Adaptation Using Stochastic Games And Simulations, Javier Camara, Gabriel A. Moreno, David Garlan, Bradley Schmerl

Gabriel A. Moreno

Self-adaptive systems must decide which adaptations to apply and when. In reactive approaches, adaptations are chosen and executed after some issue in the system has been detected (e.g., unforeseen attacks or failures). In proactive approaches, predictions are used to prepare the system for some future event (e.g., traffic spikes during holidays). In both cases, the choice of adaptation is based on the estimated impact it will have on the system. Current decision-making approaches assume that the impact will be instantaneous, whereas it is common that adaptations take time to produce their impact. Ignoring this latency is problematic because adaptations may …

Proactive Self-Adaptation Under Uncertainty: A Probabilistic Model Checking Approach, Gabriel A. Moreno, Javier Camara, David Garlan, Bradley Schmerl

Gabriel A. Moreno

Self-adaptive systems tend to be reactive and myopic, adapting in response to changes without anticipating what the subsequent adaptation needs will be. Adapting reactively can result in inefficiencies due to the system performing a suboptimal sequence of adaptations. Furthermore, when adaptations have latency, and take some time to produce their effect, they have to be started with sufficient lead time so that they complete by the time their effect is needed. Proactive latency-aware adaptation addresses these issues by making adaptation decisions with a look-ahead horizon and taking adaptation latency into account. In this paper we present an approach for proactive …

A Review Of Frequentist Tests For The 2x2 Binomial Trial, Chris Lloyd

Chris J. Lloyd

The 2x2 binomial trial is the simplest of data structures yet its statistical analysis and the issues it raises have been debated and revisited for over 70 years. Which analysis should biomedical researchers use in applications? In this review, we consider frequentist tests only, specifically tests with control size either exactly or very close to exactly. These procedures can be classified as conditional and unconditional. Amongst tests motivated by a conditional model, Lancaster’s mid-p and Liebermeister’s test are less conservative than Fisher’s classical test, but do not control type 1 error. Within the conditional framework, only Fisher’s test can be …

Prognostic And Predictive Directions For Clinical Trials, Debashis Ghosh

Debashis Ghosh

In many clinical trials, treatment effects can be quite heterogeneous across subgroups so that individuals in different subgroups can receive different benefits of the treatment. This can be quite important for the purposes of clinical decision-making purposes. In this article, we introduce a general concept of risk score that is motivated by potential outcomes consider- ations. The concepts of prognostic and predictive directions for outcome data are defined. Their basis is in the dimension reduction (DR) literature and can also be motivated by con- ditional independence assumptions. Under some conditions, one can use existing methods from the DR literature to …

Carrier Heating And Negative Photoconductivity In Graphene, James Heyman, J. D. Stein, Z. S. Kaminski, A. R. Banman, A. M. Massari, J. T. Robinson

James Heyman

No abstract provided.

Gelfand Models For Diagram Algebras, Thomas Halverson, Mike Reeks

Thomas M. Halverson

No abstract provided.

Application Of Fa´A Di Bruno’S Formula In The Construction Of Combinatorial Identities, Tian-Xiao He

Tian-Xiao He

Convexity Of Spherical Bernstein-B´Ezier Patches And Circular Bernstein-B´Ezier Curves, Tian-Xiao He, Ram Mohapatray

Tian-Xiao He

Fabrication Of Ferroelectric Polymer Nanostructures On Flexible Substrates By Soft-Mold Reverse.Pdf, Shumin Li

Shumin Li

No abstract provided.