Digital Commons Network^™

Machine Learning Models On Prognostic Outcome Prediction For Cancer Images With Multiple Modalities, Gengbo Liu

Theses and Dissertations

Machine learning algorithms have been applied to predict different prognostic outcomes for many different diseases by directly using medical images. However, the higher resolution in various types of medical imaging modalities and new imaging feature extraction framework brings new challenges for predicting prognostic outcomes. Compared to traditional radiology practice, which is only based on visual interpretation and simple quantitative measurements, medical imaging features can dig deeper within medical images and potentially provide further objective support for clinical decisions. In this dissertation, we cover three projects with applying or designing machine learning models on predicting prognostic outcomes using various types of …

Air Quality Monitoring Wireless Sensor Network With Electrochemical Sensing Elements, Saeed Faisal Malky

Theses and Dissertations

Harmful atmospheric pollutants have been attributed to causing adverse weather conditions and health problems, which are particularly prevalent in more populated global regions, such as megacities. Nongovernmental and international agencies throughout the world have likewise called for increased awareness and action to effectively counter the increased rates of air pollution, as the consequences seem ominous. Meanwhile, in several major urban landscapes such as Saudi Arabia, no modern apparatus or efficient systematic mechanisms exist for the qualitative detection of dangerous pollutants and gases. The current counterparts for hazardous gas measurements are expensive, bulky and cumbersome to set up. Thus, sensor devices …

Nonlocal Boundary Value Problems For Linear Hyperbolic Systems With Two Independent Variables, Afrah Almutairi

Theses and Dissertations

Nonlocal boundary value problems in a characteristic rectangle for second order linear hyperbolic systems are considered. There are established: (i) Unimprovable sufficient conditions for general boundary value problems to possess the Fredholm property; (ii) Optimal sufficient conditions of unique solvability of general boundary value problems; (iii) Effective sufficient conditions for doubly periodic problems to possess the Fredholm property; (iv) Unimprovable sufficient conditions of unique solvability of doubly periodic problems; (v) Effective sufficient conditions for boundary value problems of periodic type to possess the Fredholm property; (vi) Unimprovable sufficient conditions of unique solvability of boundary value problems of periodic type; (vii) …

Demographic Factors Affecting Freshman Engineering Students’ Attitudes Toward Mathematics At A University In Saudi Arabia, Essa Abdullah Alibraheim

Theses and Dissertations

This study of freshman engineering students enrolled at Imam Abdulrahman Bin Faisal University (IAU) in Saudi Arabia investigated the relationship between the students’ attitudes and their demographic characteristics. Specifically, the study assessed the relationship between students’ demographic characteristics and how the characteristics related to five variables associated with attitudes toward mathematics: attitude toward success in mathematics, confidence in learning mathematics, mathematics anxiety, awareness of the usefulness of mathematics, and effectance motivation in mathematics. A total number of 157 male students enrolled in Calculus 1 participated in the survey. Findings revealed that the freshman engineering students had positive attitudes toward mathematics; …

Some Free Boundary Problems For The Nonlinear Degenerate Multidimensional Parabolic Equations Modeling Reaction-Diffusion Processes, Amna Abu Weden

Theses and Dissertations

This dissertation presents a full classification of the short-time behavior of the interfaces or free boundaries for the nonlinear second order degenerate multidimensional parabolic partial differential equation (PDE) ut −∆u m +buβ = 0, x ∈ R N ,0 < t < T (1) with m > 0, β > 0,b ∈ R, arising in various applications in fluid mechanics, filtration of oil or gas in a porous media, plasma physics, reaction-diffusion equations in chemical kinetics, population dynamics in mathematical biology etc. as a mathematical model of nonlinear diffusion phenomena in the presence of the absorption or release of energy. Cauchy problem with compactly supported and nonnegative initial function …

An Investigation Of The Adoption Of Social Media Applications By Faculty Members At A Prominent University In The Kingdom Of Saudi Arabia, Abdullah Saad Alshalawi

Theses and Dissertations

A report by Hootsuite (2018) stated that the average time of daily use of social media applications by Saudis in 2017 was two hours and 34 minutes. Even though statistics show that social media applications are very widespread among students, they also suggest that these media are not being utilized by many faculty members for teaching and learning purposes. The purpose of this study was to investigate the factors that influence the adoption of social media applications for teaching and learning purposes by faculty members at a prominent university in Saudi Arabia. The Decomposed Theory of Planned Behavior (DTPB) was …

Gut Content Analysis Of Benthic Foraging Fish Compared To Invertebrate Infauna Distributions In Dredged Vs. Undredged Habitats, Danielle Louise Juzwick

Theses and Dissertations

The Indian River Lagoon (IRL) has experienced a loss in seagrasses due to organic sediment accumulation and harmful algal blooms. Seagrasses are an essential nursery habitat for many fishes and benthic invertebrates. IRL fish known to utilize benthic habitat and feed on invertebrates include Atlantic croaker (Micropogonias undulates), juvenile Red Drum (Sciaenops ocellatus), and Mojarra (Eucinostomus spp.). The most abundant major infaunal taxa of the IRL are crustaceans, polychaetes, and mollusks. Environmental dredging in the IRL’s Turkey Creek is intended to improve water quality, remove harmful sediments and restore benthic habitat. Such dredging may impact benthic invertebrate populations and, indirectly, …

Review Of Sky Dance Of The Woodcock: The Habits And Habitats Of A Strange Little Bird, By Greg Hoch, David E. Andersen

The Prairie Naturalist

American Woodcock (Scolopax minor) have enthralled conservationists (including Aldo Leopold), bird watchers, wildlife enthusiasts, hunters, and others interested in the natural world for centuries. No doubt, woodcock also have enthralled humans in North America for millennia prior to written descriptions of the woodcock’s courtship displays, habitat preferences, and curious behavior and anatomy. As perhaps the most extensively studied species of shorebird in the world, there is a rich and extensive literature, both scientific and popular, focused on woodcock ecology, behavior, and hunting. To that extensive body of literature, Sky Dance of the Woodcock provides an updated summary of …

Serological Survey And Pathogen Exposure Of Adult Female White-Tailed Deer In The Western Dakotas, Katherine L. Moratz, Bailey S. Gullikson, Eric S. Michel, Daniel M. Grove, Jonathan A. Jenks, William Jensen

The Prairie Naturalist

Establishing baseline values for pathogen exposure and nutritional indices is necessary to monitor population health. However, little is known about white-tailed deer (Odocoileus virginianus) pathogen exposure and nutritional condition in the Northern Great Plains. Our objective was to assess pathogen exposure and establish nutritional indices for female white-tailed deer in Dunn and Grant counties, North Dakota and Perkins County, South Dakota. During 2014, we collected blood serum from 150 adult female white-tailed deer. Pathogens with the highest antibody prevalence included West Nile Virus (WNV; 85%), epizootic hemorrhagic disease (48%), and malignant catarrhal fever (32%). Serum values for creatine …

The Prairie Naturalist, Vol. 51, Issue 2, December 2019

The Prairie Naturalist

45 EDITOR’S NOTE: Final Thoughts as Editor-in-Chief, by Christopher N. Jacques

RESEARCH ARTICLES

47 Bats of the Loess Hills Ecoregion of Southeast Nebraska, by Virgil Brack, Jr., Dale W. Sparks, and Darwin C. Brack

58 Serological Survey and Pathogen Exposure of Adult Female White-tailed Deer in the Western Dakotas, by Katherine L. Moratz, Bailey S. Gullikson, Eric S. Michel, Daniel M. Grove, Jonathan A. Jenks, and William F. Jensen

68 Factors Limting Reintroduced Plains Topminnow, Fundulus sciadicus, Populations in Central Great Plains Streams, by Joseph D. Thiessen, Keith D. Koupal, and Casey W. Schoenebeck

NOTES

77 Recent Observations of Water …

Resampling-Based Analysis Of Multivariate Data And Repeated Measures Designs With The R Package Manova.Rm, Sarah Friedrich, Frank Konietschke, Markus Pauly

The R Journal

Nonparametric statistical inference methods for a modern and robust analysis of longitudinal and multivariate data in factorial experiments are essential for research. While existing approaches that rely on specific distributional assumptions of the data (multivariate normality and/or equal covariance matrices) are implemented in statistical software packages, there is a need for user-friendly software that can be used for the analysis of data that do not fulfill the aforementioned assumptions and provide accurate p value and confidence interval estimates. Therefore, newly developed nonparametric statistical methods based on bootstrap- and permutation-approaches, which neither assume multivariate normality nor specific covariance matrices, have been …

The Landscape Of R Packages For Automated Exploratory Data Analysis, Mateusz Staniak, Przemysław Biecek

The R Journal

The increasing availability of large but noisy data sets with a large number of heterogeneous variables leads to the increasing interest in the automation of common tasks for data analysis. The most time-consuming part of this process is the Exploratory Data Analysis, crucial for better domain understanding, data cleaning, data validation, and feature engineering

There is a growing number of libraries that attempt to automate some of the typical Exploratory Data Analysis tasks to make the search for new insights easier and faster. In this paper, we present a systematic review of existing tools for Automated Exploratory Data Analysis (autoEDA). …

The Idspatialstats R Package: Quantifying Spatial Dependence Of Infectious Disease Spread, John R. Giles, Henrik Salje, Justin Lessler

The R Journal

Spatial statistics for infectious diseases are important because the spatial and temporal scale over which transmission operates determine the dynamics of disease spread. Many methods for quantifying the distribution and clustering of spatial point patterns have been developed (e.g. K-function and pair correlation function) and are routinely applied to infectious disease case occurrence data. However, these methods do not explicitly account for overlapping chains of transmission and require knowledge of the underlying population distribution, which can be limiting when analyzing epidemic case occurrence data. Therefore, we developed two novel spatial statistics that account for these effects to estimate: 1) …

Jomo: A Flexible Package For Two-Level Joint Modelling Multiple Imputation, Matteo Quartagno, Simon Grund, James Carpenter

The R Journal

Multiple imputation is a tool for parameter estimation and inference with partially observed data, which is used increasingly widely in medical and social research. When the data to be imputed are correlated or have a multilevel structure — repeated observations on patients, school children nested in classes within schools within educational districts — the imputation model needs to include this structure. Here we introduce our joint modelling package for multiple imputation of multilevel data, jomo, which uses a multivariate normal model fitted by Markov Chain Monte Carlo (MCMC). Compared to previous packages for multilevel imputation, e.g. pan, jomo adds the …

Biclustermd: An R Package For Biclustering With Missing Values, John Reisner, Hieu Pham, Sigurdur Olafsson, Stephen Vardeman, Jing Li

The R Journal

Biclustering is a statistical learning technique that attempts to find homogeneous partitions of rows and columns of a data matrix. For example, movie ratings might be biclustered to group both raters and movies. biclust is a current R package allowing users to implement a variety of biclustering algorithms. However, its algorithms do not allow the data matrix to have missing values. We provide a new R package, biclustermd, which allows users to perform biclustering on numeric data even in the presence of missing values.

Modeling Regimes With Extremes: The Bayesdfa Package For Identifying And Forecasting Common Trends And Anomalies In Multivariate Time-Series Data, Eric J. Ward, Sean C. Anderson, Luis A. Damiano, Mary E. Hunsicker, Michael A. Litzow

The R Journal

The bayesdfa package provides a flexible Bayesian modeling framework for applying dynamic factor analysis (DFA) to multivariate time-series data as a dimension reduction tool. The core estimation is done with the Stan probabilistic programming language. In addition to being one of the few Bayesian implementations of DFA, novel features of this model include (1) optionally modeling latent process deviations as drawn from a Student-t distribution to better model extremes, and (2) optionally including autoregressive and moving-average components in the latent trends. Besides estimation, we provide a series of plotting functions to visualize trends, loadings, and model predicted values. A secondary …

Coxed: An R Package For Computing Duration-Based Quantities From The Cox Proportional Hazards Model, Jonathan Kropko, Jeffrey J. Harden

The R Journal

The Cox proportional hazards model is one of the most frequently used estimators in duration (survival) analysis. Because it is estimated using only the observed durations’ rank ordering, typical quantities of interest used to communicate results of the Cox model come from the hazard function (e.g., hazard ratios or percentage changes in the hazard rate). These quantities are substantively vague and difficult for many audiences of research to understand. We introduce a suite of methods in the R package coxed to address these problems. The package allows researchers to calculate duration-based quantities from Cox model results, such as the expected …

Use Of Uav Imagery And Nutrient Analyses For Estimation Of The Spatial And Temporal Contributions Of Cattle Dung To Nutrient Cycling In Grazed Ecosystems, Amanda E. Shine

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Nutrient inputs from cattle dung are crucial drivers of nutrient cycling processes in grazed ecosystems. These inputs are important both spatially and temporally and are affected by variables such as grazing strategy, water location, and the nutritional profile of forage being grazed. Past research has attempted to map dung deposition patterns in order to more accurately estimate nutrient input, but the large spatial extent of a typical pasture and the tedious nature of identifying and mapping individual dung pats has prohibited the development of a time- and cost-effective methodology. The first objective of this research was to develop and validate …

Benchmarking On-Farm Maize Nitrogen Balance In The Western U. S. Corn Belt, Fatima Amor Tenorio

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

A nitrogen (N) balance, calculated as the difference between N inputs and grain-N removal, provides an estimate of the potential N losses. We used N balance with other N-related metrics (partial factor productivity for N inputs, and yield-scaled N balance), to benchmark maize yields in relation with N input use in the US Corn Belt. We first used experimental data on grain-N concentration (GNC) to assess variation in this parameter due to biophysical and management factors. Subsequently, we used N balance and N-related metrics to benchmark yields in relation with N inputs in irrigated and rainfed fields in Nebraska using …

The Impact Of Student Perception Data On Teachers: A Multisite Case Study At Midwestern K–12 Catholic Schools, Brandi Y. Bibins-Redburn

Department of Educational Administration: Dissertations, Theses, and Student Research

For as long as there have been teachers, there have been efforts to determine the most constructive way to evaluate teacher effectiveness. Research has shown that traditional administrator evaluations do little to improve struggling teachers and that most teachers nationwide are able to earn satisfactory ratings even when they are not performing in a satisfactory manner. This study aims to determine whether using student perception feedback as part of a comprehensive teacher evaluation process would lead to improved practice and targeted professional development. The following questions were investigated in this research: 1. Does student perception feedback drive teachers to reflect …

Nanothermomechanical Logic Gates For Thermal Computing, Ahmed Hamed

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Limited performance and reliability of electronic devices at extreme temperatures, intensive electromagnetic fields, and radiation found in space exploration missions (i.e., Venus & Jupiter planetary exploration, and heliophysics missions) and earth-based applications require the development of alternative computing technologies. Thermal computing, data processing based on heat instead of electricity, is proposed as a practical alternative and opens a new scientific area at the interface between thermal and computational sciences.

We successfully developed thermal AND, OR and NOT logic gates, achieved through the coupling between near-field thermal radiation and MEMS thermal actuation. In the process, we developed two novel non-linear thermal …

Blockchain In Libraries, Michael Meth

Faculty Research, Scholarly, and Creative Activity

This issue of Library Technology Reports (vol. 55, no. 8), “Blockchain in Libraries,” examines the application of blockchain in libraries. Blockchain technology has the ability to transform how libraries provide services and organize information. To date, most of these applications are still in the conceptual stage. However, sooner or later, development and implementation will follow. This report is intended to provide a primer on the technology and some thought starters. In chapter 2, the concept of blockchain is explained. Chapter 3 provides eight thought and conversation starters that look at how blockchain could be applied in libraries. Chapter 4 looks …

Learning To Detect Pedestrians By Watching Videos, Andrew Y. Chen

Theses and Dissertations

The field of deep learning has experienced a resurgence in the recent years, particularly resulting with the advent of AlexNet. Supervised learning is currently the most common and practical machine learning method. The struggle with employing supervised learning to approach problems is that it requires training data. Sufficient training data is correlated with performance for deep learning models. The issue is that preparing the training data can be a tedious and labor intensive task, especially on a large scale. The purpose of this paper is to determine how efficient a machine can learn when trained on automatically annotated data. The …

Viability Of Wetland Crops For Use In Treatment Wetlands: Nitrogen Removal From Water And Production Of Food, Andrew Denson Corder

Theses and Dissertations

Treatment wetlands are used to treat wastewater from a variety of sources, but their functionality depends on the macrophytes present therein. To better understand the viability of wetland macrophytes both as sources of food and as agents of nitrogen removal from wastewater, this study quantified plant growth, food production, and nitrogen removal capacity of three common wetland crops as well as three locally dominant graminoid species in a variety of relevant ecological contexts. All six plant species and a control were grown over a ten-week period in three related experiments: (1) under three moisture regimes, (2) with or without competition …

Constructing Associative Rings From Certain Hypergroups, Oscar Gonzalez

Theses and Dissertations

Tight hypergroups give rise to associative rings if the so-called general normality condition holds\cite{ARTICLE:1}. We consider four examples of tight hypergroups which do not satisfy the general normality condition and show that they still give rise to associative rings. Our examples are HM332(24),HM10353(32), HM10933(32) and HM10941(32)[1].

A Landscape-Scaled And Community Ecology Approach To Wildlife Corridor Design In South Texas, James A. Stilley

Theses and Dissertations

A formidable challenge in landscape ecology is developing a sound resolution to mitigate the impacts of habitat fragmentation and restore connectivity to a degraded landscape. The problem is worldwide landscapes are becoming primarily anthropogenic and areas set aside for wildlife are small and isolated. Researchers’ have developed the concept of the wildlife corridor to mediate this situation but a proper methodology to implement this concept is still in its infancy. This study aims to uncover a quantitative and repeatable wildlife corridor design methodology based on the least cost analysis strategy with both a singular focal taxa approach and a comprehensive …

Dna Barcoding Reveals Unexpected Diversity In Octocorallia In The Northwestern Gulf Of Mexico, Chelsea L. Pavliska

Theses and Dissertations

Coral reefs are an integral tier of marine ecosystems. They provide habitat and foraging opportunities for many ecologically and economically important fishes. Protection of coral reef biodiversity and connectivity is imperative to the continued health and sustainability of marine fisheries. Mesophotic reefs, such as those found in the northwest Gulf of Mexico, have unique coral communities because of the limited light penetration at mesophotic depths (30 – 150m). Because there is limited knowledge in regards to the biodiversity of coral reefs of the northwestern Gulf of Mexico (GOM), particularly the South Texas Banks (STBs), thesis work presented here aims to …

Degree Of Bilingualism, Age, Income And Teacher Ratings Of Giftedness As Potential Predictors Of Dichotic Listening Performance, Francisco J. Sierra

Theses and Dissertations

Bilinguals and gifted individuals have consistently shown distinctive patterns of performance on measures of brain laterality and auditory processing. The purpose of this study is to examine the relationship between bilingualism, teacher ratings of giftedness, and auditory divided attention by comparing children and adults with income partialed out. Child participants from first to fifth grade were included in addition to an adult comparison group. Assessment of bilingualism, auditory divided attention, and giftedness occurred via the Woodcock-Munoz Language Survey-III (WMLS-III), the Dichotic Test of Attention (DITA), and the Hispanic Bilingual Gifted Screening Instrument (HBGSI). The main hypothesis of this study is …

Stem And The Skilled Labor Shortage In The United States, Nicolo Tetsuo Hoshizaki

Construction Management

There is a growing shortage of skilled labor in the United States construction industry. As the baby boomer generation prepares to leave the workforce, this problem is getting exponentially worse. As Science, Technology, Engineering and Mathematics programs have become the U.S. Department of Education’s top priority, more young adults are pursuing higher education and entering the STEM workforce. Using quantitative and qualitative research methodologies, this paper provides an explanation as to why a logical method to assuage the labor shortage in construction is to employ vocational programs that prepare young adults to enter the industry similar to how STEM programs …

The Relationships Between School Burnout And Perceived Teacher Support In High School Male Students, Travis S. Moots

Doctoral Dissertations and Projects

The purpose of this quantitative correlational research study is to determine if perceived teacher support predicts school burnout in male high school students. High school males from four private high schools in eastern North Carolina and southeast Virginia participated in the study. The predictor variables were overall perceived teacher support, as well as four subcategories (i.e., invested, positive regard, expectations, and accessible) of perceived teacher support. Data was collected by utilizing student surveys to measure each of the variables. The Teacher Support Scale measured perceived teacher support, and the School Burnout Inventory measured school burnout among the high school males. …