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Notes On Eryx, Omega, And Ata, Victor Fet 2017 Marshall University

Notes On Eryx, Omega, And Ata, Victor Fet

Victor Fet

Observations on several Nabokov’s works (Pale Fire, Lolita) where geographic or zoological names provide sources for puns and hidden parallels.


Comparison Of Adaptive Randomized Trial Designs For Time-To-Event Outcomes That Expand Versus Restrict Enrollment Criteria, To Test Non-Inferiority, Josh Betz, Jon Arni Steingrimsson, Tianchen Qian, Michael Rosenblum 2017 Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics

Comparison Of Adaptive Randomized Trial Designs For Time-To-Event Outcomes That Expand Versus Restrict Enrollment Criteria, To Test Non-Inferiority, Josh Betz, Jon Arni Steingrimsson, Tianchen Qian, Michael Rosenblum

Johns Hopkins University, Dept. of Biostatistics Working Papers

Adaptive enrichment designs involve preplanned rules for modifying patient enrollment criteria based on data accrued in an ongoing trial. These designs may be useful when it is suspected that a subpopulation, e.g., defined by a biomarker or risk score measured at baseline, may benefit more from treatment than the complementary subpopulation. We compare two types of such designs, for the case of two subpopulations that partition the overall population. The first type starts by enrolling the subpopulation where it is suspected the new treatment is most likely to work, and then may expand inclusion criteria if there is early ...


Optimized Adaptive Enrichment Designs For Multi-Arm Trials: Learning Which Subpopulations Benefit From Different Treatments, Jon Arni Steingrimsson, Joshua Betz, Tiachen Qian, Michael Rosenblum 2017 Department of Biostatistics, Brown School of Public Health

Optimized Adaptive Enrichment Designs For Multi-Arm Trials: Learning Which Subpopulations Benefit From Different Treatments, Jon Arni Steingrimsson, Joshua Betz, Tiachen Qian, Michael Rosenblum

Johns Hopkins University, Dept. of Biostatistics Working Papers

We propose a class of adaptive randomized trial designs for comparing two treatments to a common control in two disjoint subpopulations. The type of adaptation, called adaptive enrichment, involves a preplanned rule for modifying enrollment and arm assignment based on accruing data in an ongoing trial. The motivation for this adaptive feature is that interim data may indicate that a subpopulation, such as those with lower disease severity at baseline, are unlikely to benefit from a particular treatment, while uncertainty remains for the other treatment and/or subpopulation. We developed a new multiple testing procedure tailored to this design problem ...


The Teszler Times, Melissa Clapp 2017 Wofford College

The Teszler Times, Melissa Clapp

Library Publications

"The Teszler Times" is the faculty newsletter for the Sandor Teszler Library at Wofford College. The fall 2017 issue contains a message from Dean Kevin Reynolds, information about various services including our redesigned website with a special section for services for faculty, and an easy online form to use for submitting course reserves. The newsletter also features announcements for the upcoming banners to be hung outside the library and the new New Books area, now located adjacent to the Writing Center. Finally, statistics from the 2016-2017 school year show interesting facts about how the Sandor Teszler Library is used.


Creating An Experimental Learning And Research Driven Spacesuit Lab For Erau, Ryan L. Kobrick, Erik Seedhouse 2017 Embry-Riddle Aeronautical University

Creating An Experimental Learning And Research Driven Spacesuit Lab For Erau, Ryan L. Kobrick, Erik Seedhouse

Ryan L. Kobrick

This paper evaluates key functional data parameters that must be considered for suborbital spaceflight participants wearing pressurized suits for intravehicular activity (IVA). Data parameters of an analog spacesuit worn in an analog flight environment were obtained from 40 civilian participants using the Suborbital Space Flight Simulator (SSFS) at Embry-Riddle Aeronautical University (ERAU) while donning Final Frontier Design’s (FFD) fully pressurized third-generation spacesuit as part of their training for Project PoSSUM (the Polar Suborbital Science in the Upper Mesosphere Project). The physiological data collected included: blood pressure, electrocardiograms, heart rate, grip strength, and skin temperature. These parameters were measured using ...


Using Ranked Auxiliary Covariate As A More Efficient Sampling Design For Ancova Model: Analysis Of A Psychological Intervention To Buttress Resilience, Rajai Jabrah, Hani Samawi, Robert Vogel, Haresh Rochani, Daniel Linder 2017 Georgia Southern University

Using Ranked Auxiliary Covariate As A More Efficient Sampling Design For Ancova Model: Analysis Of A Psychological Intervention To Buttress Resilience, Rajai Jabrah, Hani Samawi, Robert Vogel, Haresh Rochani, Daniel Linder

Hani M. Samawi

Drawing a sample can be costly or time consuming in some studies. However, it may be possible to rank the sampling units according to some baseline auxiliary covariates, which are easily obtainable, and/or cost efficient. Ranked set sampling (RSS) is a method to achieve this goal. In this paper, we propose a modified approach of the RSS method to allocate units into an experimental study that compares L groups. Computer simulation estimates the empirical nominal values and the empirical power values for the test procedure of comparing L different groups using modified RSS based on the regression approach in ...


Inference On Overlapping Coefficients In Two Exponential Populations, Mohammad F. Al-Saleh, Hani M. Samawi 2017 Yarmouk University

Inference On Overlapping Coefficients In Two Exponential Populations, Mohammad F. Al-Saleh, Hani M. Samawi

Hani M. Samawi

Three measures of overlap, namely Matusita’s measureρ , Morisita’s measure λ and Weitzman’s measure Δ are investigated in this article for two exponential populations with different means. It is well that the estimators of those measures of overlap are biased. The bias is of these estimators depends on the unknown overlap parameters. There are no closed-form, exact formulas, for those estimators variances or their exact sampling distributions. Monte Carlo evaluations are used to study the bias and precision of the proposed overlap measures. Bootstrap method and Taylor series approximation are used to construct confidence intervals for the overlap ...


Evaluating The Efficiency Of Treatment Comparison In Crossover Design By Allocating Subjects Based On Ranked Auxiliary Variable, Yisong Huang, Hani Samawi, Robert Vogel, Jingjing Yin, Worlanyo E. Gato, Daniel Linder 2017 Georgia Southern University

Evaluating The Efficiency Of Treatment Comparison In Crossover Design By Allocating Subjects Based On Ranked Auxiliary Variable, Yisong Huang, Hani Samawi, Robert Vogel, Jingjing Yin, Worlanyo E. Gato, Daniel Linder

Hani M. Samawi

The validity of statistical inference depends on proper randomization methods. However, even with proper randomization, we can have imbalanced with respect to important characteristics. In this paper, we introduce a method based on ranked auxiliary variables for treatment allocation in crossover designs using Latin squares models. We evaluate the improvement of the efficiency in treatment comparisons using the proposed method. Our simulation study reveals that our proposed method provides a more powerful test compared to simple randomization with the same sample size. The proposed method is illustrated by conducting an experiment to compare two different concentrations of titanium dioxide nanofiber ...


Estimation Of P(X > Y) When X And Y Are Dependent Random Variables Using Different Bivariate Sampling Schemes, Hani M. Samawi, Amal Helu, Haresh Rochani, Jingjing Yin, Daniel Linder 2017 Georgia Southern University

Estimation Of P(X > Y) When X And Y Are Dependent Random Variables Using Different Bivariate Sampling Schemes, Hani M. Samawi, Amal Helu, Haresh Rochani, Jingjing Yin, Daniel Linder

Hani M. Samawi

The stress-strength models have been intensively investigated in the literature in regards of estimating the reliability θ = P (X > Y) using parametric and nonparametric approaches under different sampling schemes when X and Y are independent random variables. In this paper, we consider the problem of estimating θ when (X, Y) are dependent random variables with a bivariate underlying distribution. The empirical and kernel estimates of θ = P (X > Y), based on bivariate ranked set sampling (BVRSS) are considered, when (X, Y) are paired dependent continuous random variables. The estimators obtained are compared to their counterpart, bivariate simple random sampling (BVSRS ...


Correction Of Verication Bias Using Log-Linear Models For A Single Binaryscale Diagnostic Tests, Haresh Rochani, Hani M. Samawi, Robert L. Vogel, Jingjing Yin 2017 Georgia Southern University

Correction Of Verication Bias Using Log-Linear Models For A Single Binaryscale Diagnostic Tests, Haresh Rochani, Hani M. Samawi, Robert L. Vogel, Jingjing Yin

Hani M. Samawi

In diagnostic medicine, the test that determines the true disease status without an error is referred to as the gold standard. Even when a gold standard exists, it is extremely difficult to verify each patient due to the issues of costeffectiveness and invasive nature of the procedures. In practice some of the patients with test results are not selected for verification of the disease status which results in verification bias for diagnostic tests. The ability of the diagnostic test to correctly identify the patients with and without the disease can be evaluated by measures such as sensitivity, specificity and predictive ...


Developing Grounded Goals Through Instant Replay Learning, Lisa Meeden, Douglas S. Blank 2017 Swarthmore College

Developing Grounded Goals Through Instant Replay Learning, Lisa Meeden, Douglas S. Blank

Computer Science Faculty Research and Scholarship

This paper describes and tests a developmental architecture that enables a robot to explore its world, to find and remember interesting states, to associate these states with grounded goal representations, and to generate action sequences so that it can re-visit these states of interest. The model is composed of feed-forward neural networks that learn to make predictions at two levels through a dual mechanism of motor babbling for discovering the interesting goal states and instant replay learning for developing the grounded goal representations. We compare the performance of the model with grounded goal representations versus random goal representations, and find ...


Toward Earthquake System Science: Western U.S. Lithospheric Stress/Strain Partitioning Of Mantle Dynamics, Anthony Lowry 2017 Utah State University

Toward Earthquake System Science: Western U.S. Lithospheric Stress/Strain Partitioning Of Mantle Dynamics, Anthony Lowry

Funded Research and Data

No abstract provided.


Collaborative Research: Synergistic Merging Of Traditional Aeronomy With Targeted High-Frequency (Hf) Heating Diagnostics, Herbert C. Carlson 2017 Utah State University

Collaborative Research: Synergistic Merging Of Traditional Aeronomy With Targeted High-Frequency (Hf) Heating Diagnostics, Herbert C. Carlson

Funded Research and Data

No abstract provided.


Spirit Of The Age - 1960s To Now.Pdf, john horsfield 2017 Selected Works

Spirit Of The Age - 1960s To Now.Pdf, John Horsfield

John Horsfield Bsc Msc PhD

No abstract provided.


Managing Nitrous Oxide Emissions In Agricultural Fields, Mark S. Coyne, Wei Ren 2017 University of Kentucky

Managing Nitrous Oxide Emissions In Agricultural Fields, Mark S. Coyne, Wei Ren

Mark S. Coyne

Agriculture is a major contributor to atmospheric nitrous oxide (N2O) (Smith et al., 2014; Tian et al., 2015). Unfortunately, nitrous oxide destroys stratospheric ozone (O3) which protects us from ultraviolet radiation (Cicerone, 1989) and it increases ground level O3, whichis an air pollutant threatening human health and food production. Nitrous oxide is also 298 times more potent than an equivalent amount of carbon dioxide (CO2) in terms of trapping and absorbing reflected solar radiation (Forster et al., 2007). Basic chemistry and physics assure us that increased levels of N2O in the atmosphere are ...


Inhibitory Effects Of Vinegar And Plant Essential Oils Against Airborne Molds Collected Near A Dairy Farm, Nosa Lloyd Nwaonumah, Tedd Gandy, Teyaijah Givens, Atin Adhikari 2017 Georgia Southern University

Inhibitory Effects Of Vinegar And Plant Essential Oils Against Airborne Molds Collected Near A Dairy Farm, Nosa Lloyd Nwaonumah, Tedd Gandy, Teyaijah Givens, Atin Adhikari

Atin Adhikari

Mold growths are common in damp areas of a dairy farm and airborne mold spores and mold toxins could be hazardous for workers and animals. Mold growth often returns after remediation. The cleaning of molds in these situations by farm owners requires some mold cleaners such as bleach or other chemical solutions. However, researchers are now concerned about adverse side effects of these chemical solutions and their use in an organic farm is not desirable. Plant based products such as grape fruit seed extracts and tea tree oil have demonstrated promising effect against growth of mold pure cultures in our ...


New Isu Research May Help Farmers Make More Informed Decisions About Land Use, Elke Brandes, Emily A. Heaton, Lisa A. Schulte-Moore, Fred Love 2017 Iowa State University

New Isu Research May Help Farmers Make More Informed Decisions About Land Use, Elke Brandes, Emily A. Heaton, Lisa A. Schulte-Moore, Fred Love

Emily Heaton

A new study from a multidisciplinary team led by Iowa State University agronomists shows that significant portions of Iowa farmland consistently lose money and could influence many farmers to change how they use some of the acres they devote to corn and soybeans.


Farm-Scale Costs And Returns For Second Generation Bioenergy Cropping Systems In The Us Corn Belt, Robert K. Manatt, Arne Hallam, Lisa A. Schulte, Emily A. Heaton, Theodore P. Gunther, Richard B. Hall, Kenneth J. Moore 2017 Iowa State University

Farm-Scale Costs And Returns For Second Generation Bioenergy Cropping Systems In The Us Corn Belt, Robert K. Manatt, Arne Hallam, Lisa A. Schulte, Emily A. Heaton, Theodore P. Gunther, Richard B. Hall, Kenneth J. Moore

Emily Heaton

While grain crops are meeting much of the initial need for biofuels in the US, cellulosic or second generation (2G) materials are mandated to provide a growing portion of biofuel feedstocks. We sought to inform development of a 2G crop portfolio by assessing the profitability of novel cropping systems that potentially mitigate the negative effects of grain-based biofuel crops on food supply and environmental quality. We analyzed farm-gate costs and returns of five systems from an ongoing experiment in central Iowa, USA. The continuous corn cropping system was most profitable under current market conditions, followed by a corn–soybean rotation ...


Elemental Mixing State Of Aerosol Particles Collected In Central Amazonia During Goamazon2014/15, Matthew Fraund, Don Q. Pham, Daniel Bonanno, Tristan H. Harder, Bingbing Wang, Joel Brito, Suzane S. de Sa, Samara Carbone, Swarup China, Paulo Artaxo, Scot T. Martin, Christopher Pöhlker, Meinrat O. Andreae, Alexander Laskin, Mary K. Gilles, Ryan C. Moffet 2017 University of the Pacific

Elemental Mixing State Of Aerosol Particles Collected In Central Amazonia During Goamazon2014/15, Matthew Fraund, Don Q. Pham, Daniel Bonanno, Tristan H. Harder, Bingbing Wang, Joel Brito, Suzane S. De Sa, Samara Carbone, Swarup China, Paulo Artaxo, Scot T. Martin, Christopher Pöhlker, Meinrat O. Andreae, Alexander Laskin, Mary K. Gilles, Ryan C. Moffet

Department of Chemistry Student Articles

Two complementary techniques, Scanning Transmission X-ray Microscopy/Near Edge Fine Structure spectroscopy (STXM/NEXAFS) and Scanning Electron Microscopy/Energy Dispersive X-ray spectroscopy (SEM/EDX), have been quantitatively combined to characterize individual atmospheric particles. This pair of techniques was applied to particle samples at three sampling sites (ATTO, ZF2, and T3) in the Amazon basin as part of the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) field campaign during the dry season of 2014. The combined data was subjected to k-means clustering using mass fractions of the following elements: C, N, O, Na, Mg, P, S, Cl, K ...


Designing An Ai That Cares, 2017 Vocational Training Council

Designing An Ai That Cares

SIGNED: The Magazine of The Hong Kong Design Institute

The breakthrough that could change AI from being a plaything to being a playmate with which humans can have meaningful interations may be about to come from a seemingly unlikely source.


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