Digital Commons Network^™

Boundaries And Policing: Space, Jurisdictions, And Roles In The Collection Of Official Crime Data, Cynthia Suzanne Barnett-Ryan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Uniform Crime Reporting (UCR) Program is a law enforcement statistical system open to unreported information due to its voluntary nature. As such, there need to be a valid and accepted means to estimate official reports of crime for those different levels of geography where reporting may be incomplete. Current methods of imputing and modeling UCR data, which have not been updated since the 1960s, are based upon conceptualizations of law enforcement agencies that may no longer be valid. These older models do not appropriately represent the law enforcement assessment of space and place and its effects on discretionary recording …

Technology Use By Teachers Of Deaf And Hard-Of-Hearing Students, Nichole K. Zirzow

Graduate Theses, Dissertations, and Problem Reports (ETD)

This nationwide study explored the types and frequency of technology used by

teachers of deaf and hard-of-hearing (d/hh) students to design and deliver instruction, as

well as the types and frequency of technology being used by teachers of d/hh students to

promote communication and collaboration. It also examined the extent of professional

development in the area of technology use with d/hh students, and the related challenges

experienced by these teachers. The following research questions guided this study.

Research question 1. What kinds of technology do teachers of d/hh students use

to design and deliver academic content-based learning activities? With what …

Sediment Provenance Study Of The Lower Hamilton Group: An Analysis Of The Organic-Rich Facies And Its Depositional History, Luke Patrick Fritz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Currently, insufficient geological models exist to explain the variability and distribution of TOC in the Marcellus Shale, within the Hamilton Group. TOC is one of the several limiting factors for natural gas production within the Marcellus Shale basin. One possible explanation for the low TOC regions is that detrital dilution was variable across the basin, with different sediment sources contributing detritus to low TOC areas, compared to surrounding regions with higher TOC. This hypothesis is tested by analyzing the source composition of inorganic detritus, using elemental and mineralogical proxies, with two cores in the Hamilton Group. The Armstrong #1 core …

A Machine-Aided Seismic Signal Analysis Workflow For Subsurface Faults And Facies Visualization And Interpretation, South Central Anadarko Basin, Oklahoma, Wade Martin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Seismic attribute analysis enhances the understanding of subsurface geology and has continually gained traction in the oil and gas industry since the 1970’s. Many seismic attributes are available for petroleum geoscientists. This research intends to provide insight to an analytical attribute workflow for rock property estimation in the Anadarko basin of Oklahoma that is prolific in oil and gas exploration, with a particular focus on seismic texture. 3-D volumes processed for seismic texture facies and structure enhance geophysical investigation and interpretation of amplitude data. This study will contribute valuable insight to reservoir studies and the potential for texture attribute well …

Compound-Specific Isotope Analysis Of Amino Acids In Biological Tissues: Applications In Forensic Entomology, Food Authentication And Soft-Biometrics In Humans, Mayara Patricia Viana De Matos

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this work we demonstrate the power of compound-specific isotope analysis (CSIA) to analyze proteinaceous biological materials in three distinct forensic applications, including: 1) linking necrophagous blow flies in different life stages to their primary carrion diet; 2) identifying the harvesting area of oysters for food authentication purposes; and 3) the ability to predict biometric traits about humans from their hair.

In the first application, we measured the amino-acid-level fractionation that occurs at each major life stage of Calliphora vicina (Robineau-Desvoidy) (Diptera: Calliphoridae) blow flies. Adult blow flies oviposited on raw pork muscle, beef muscle, or chicken liver. Larvae, pupae …

Bridging The Gap: Utilizing Socratic Inquiry Facilitation In Cross-Cultural Communication And Conflict Exploration, Mikaela G. Zimmerman

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this research is to explore the possibilities for improving governmental relations (local, national, and international) using microcosms of cross-cultural dialogues facilitated with Socratic Inquiry methodology and their potential to project situational similarities into more formal political conversation. Using twenty-five recorded dialogues from The Pennsylvania State University’s Center for Public Diplomacy (World in Conversation), I have broadly observed the role of Socratic Inquiry facilitation in cross-cultural dialogues whose content varies across a span of contentious social topics. By generally accounting for a range of relevant social factors such as gender, body language, conversational tools, and proxies for empathy, …

Using Social Media To Combat Opioid Epidemic, Yiming Zhang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Opioid addiction has become one of the largest and deadliest epidemics in the United States. To combat such deadly epidemic, there is an urgent need for novel tools and methodologies to gain new insights into the behavioral processes of opioid abuse and addiction. The role of social media in biomedical knowledge mining has turned into increasingly significant in recent years. The data from social media may contribute information beyond the knowledge of domain professionals (e.g., psychiatrists and epidemics researchers) and could potentially assist in sharpening our understanding toward the behavioral process of opioid addiction and treatment.

In this thesis, we …

Probability Discounting Of Lewis And Fischer 344 Rats: Strain Comparisons At Baseline And Following Acute Administration Of D-Amphetamine, Jenny E. Ozga

Graduate Theses, Dissertations, and Problem Reports (ETD)

Risky choice can be defined as choice for a larger, uncertain reinforcer over a smaller, certain reinforcer when choosing the smaller alternative maximizes reinforcement. Risky choice is studied using various procedures in the animal laboratory; one such procedure is called probability discounting. There are many variables that contribute to risky decision-making, including biological and pharmacological determinants. The present study assessed both of these variables by evaluating dose-response effects of d-amphetamine on risky choice of Lewis (LEW) and Fischer 344 (F344) rats. The probability-discounting procedure included discrete-trials choices between one food pellet delivered 100% of the time and three food …

The Potential Promises And Pitfalls Of Using Local Norms For Gifted Identification, Marla S. Hartman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Who are the gifted? This question has plagued the field since its inception. Historically, gifted education has been predicated on the values of the Caucasian, upper- to middle-class majority. As a result, underrepresentation of students from economically disadvantaged and culturally diverse families have been well documented in the literature and continues to this day. Some scholars have suggested the use of expanded definitions of giftedness to increase participation of students from underrepresented segments of the population. This study used regression and hierarchical linear models to predict the proportion of students identified across various thresholds focusing on how definitions impacted differential …

A Descriptive Analysis Of Pete Master’S Programs In The U.S. And Their Alignment With Advanced Teaching Standards, Jamie K. Gilbert

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: This study provided a descriptive analysis of PETE master’s degree programs in the United States. Program demographics and curriculum alignment with SHAPE America’s three advanced teaching standards and four guiding principles were the focus of this research.

Methods: This research utilized a non-experimental, cross-sectional descriptive research design and a two-phase approach to collect data. The quantitative survey component analyzed the demographics of programs (n=13) using descriptive analysis. Phone-based semi-structured interviews were conducted to collect data from program affiliates (n=4) concerning program adherence to three advanced PETE standards and four guiding principles.

Results: Public universities granting …

The Structural Information Filtered Features Potential For Machine Learning Calculations Of Energies And Forces Of Atomic Systems., Jorge Arturo Hernandez Zeledon

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the last ten years, machine learning potentials have been successfully applied to the study of crystals, and molecules. However, more complex materials like clusters, macro-molecules, and glasses are out reach of current methods. The input of any machine learning system is a tensor of features (the most universal type are rank 1 tensors or vectors of features), the quality of any machine learning system is directly related to how well the feature space describes the original physical system. So far, the feature engineering process for machine learning potentials can not describe complex material. The current methods are highly inefficient …

Deep Learning For Image Restoration And Robotic Vision, Yixin Du

Graduate Theses, Dissertations, and Problem Reports (ETD)

Traditional model-based approach requires the formulation of mathematical model, and the model often has limited performance. The quality of an image may degrade due to a variety of reasons: It could be the context of scene is affected by weather conditions such as haze, rain, and snow; It's also possible that there is some noise generated during image processing/transmission (e.g., artifacts generated during compression.). The goal of image restoration is to restore the image back to desirable quality both subjectively and objectively. Agricultural robotics is gaining interest these days since most agricultural works are lengthy and repetitive. Computer vision is …

Kidney Ailment Prediction Under Data Imbalance, Ranaa Mahveen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Chronic Kidney Disease (CKD) is the leading cause for kidney failure. It is a global health problem affecting approximately 10% of the world population and about 15% of US adults. Chronic Kidney Diseases do not generally show any disease specific symptoms in early stages thus it is hard to detect and prevent such diseases. Early detection and classification are the key factors in managing Chronic Kidney Diseases.

In this thesis, we propose a new machine learning technique for Kidney Ailment Prediction. We focus on two key issues in machine learning, especially in its application to disease prediction. One is related …

Quantifying Human Biological Age: A Machine Learning Approach, Syed Ashiqur Rahman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Quantifying human biological age is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age prediction, each with its advantages and limitations. In this work, we first introduce a new anthropometric measure (called Surface-based Body Shape Index, SBSI) that accounts for both body shape and body size, and evaluate its performance as a predictor of all-cause mortality. We analyzed data from the National Health and Human Nutrition Examination Survey (NHANES). Based on the analysis, we introduce a new body shape index constructed from four important anthropometric determinants of body shape and body size: body …

Application Of Global Search Methods To Materials Prediction And Design, Adam J. Payne

Graduate Theses, Dissertations, and Problem Reports (ETD)

Due to increased availability and power of computational resources over the past few decades, prediction and design of novel materials using computational methods has become feasible. Simulation of material systems has become vital to the further realization of novel material systems. In order to ascertain physical properties, accurate determination and identification of stable crystalline structures is necessary. Additionally, further identification of novel properties, such as magnetic moments or orbital occupation, is necessary to further realize this goal. Global search methods provide a path to accurate prediction of these properties. In this dissertation, the Firefly algorithm and minima hopping methods are …

Browsing Via Sonification, Taylor C. Cutlip

Graduate Theses, Dissertations, and Problem Reports (ETD)

Based on unexpected results in her previous research, Dr. Frances Van Scoy became inspired to develop a tool that allows the user to navigate spaces using auditory instead of visual cues to detect objects or anomalies in a given space in an effort to overcome the encountered obstacles. This problem report details the work of one of her grad students in exploring different open source software for developing the tool as well as research into gestures and other considerations when furthering this research into the third dimension at a future date.

Experimental And Numerical Study Of The Stirling Engine Robust Foil Regenerator, Koji Yanaga

Graduate Theses, Dissertations, and Problem Reports (ETD)

The regenerator is located between the heat accepter and the heat rejecter of the Stirling engine. It works as a thermal energy storage component in the engine. Most of the regenerators are made of woven screen or random fiber. However, the flow going through the woven screen or random fiber is similar to the cylinders in crossflow which has flow separation. To achieve higher engine efficiency, it is required to design a regenerator which has higher convective heat transfer, lower pressure drops. Therefore, a parallel channel regenerator called a robust foil regenerator was designed and manufactured.

In this study, a …

Low Power Voltage Reference Cells For Sensing Applications, Kody Ray Tucker

Graduate Theses, Dissertations, and Problem Reports (ETD)

Two low-power voltage reference cells for a system on-chip design are presented in this report. Both cells utilize a combination of standard transistors to produce an output voltage near 1 volt. Choosing the appropriate design procedures can aid in minimizing the temperature coefficient (TC) of the output reference voltage coming out of the cell. One circuit, covered first, is currently being fabricated on a standard 0.5 µm chip complementary metal oxide semiconductor (CMOS) process, while the other is still in the designing stage. The first one has a TC of 86 ppm/◦C with a reference voltage of 1.10 V while …

Can Fitts' Throughput Be A Predictor Of Muscle Fatigue – A Study Based On Metacarpal Gloves?, Sachin Sah

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, Fitts’ throughput was used to estimate throughput for metacarpal gloves. Fitts’ throughput combines speed and accuracy during target transfer/movement tasks into a single performance index. It was hypothesized that the throughput will be affected by the glove condition and it will exhibit a relationship with the physiological response of hand muscles and perceived exertions. Fifteen healthy participants (10 males, 5 females) were recruited for data collection. Each participant performed a series of target transfer tasks using four glove conditions: (1) a pigskin leather (glove 1); (2) a synthetic fiber glove (glove 2); (3) a goat-grain leather glove …

Artificial Immune System For Unmanned Aerial Vehicle Abnormal Condition Detection And Identification, Ryan G. Mclaughlin

Graduate Theses, Dissertations, and Problem Reports (ETD)

A detection and identification scheme for abnormal conditions was developed for an unmanned aerial vehicle (UAV) based on the artificial immune system (AIS) paradigm. This technique involves establishing a body of data to represent normal conditions referred to as “self” and differentiating these conditions from abnormal conditions, referred to as “non-self”. Data collected from simulation of the UAV attempting to autonomously fly a pre-decided trajectory were used to develop and test a scheme that was able to detect and identify aircraft sensor and actuator faults. These faults included aerodynamic control surface locks and damages and angular rate sensor biases. The …

A Biomimetic Approach To Controlling Restorative Robotics, Matthew T. Boots

Graduate Theses, Dissertations, and Problem Reports (ETD)

Movement is the only way a person can interact with the world around them. When trauma to the neuromuscular systems disrupts the control of movement, quality of life suffers. To restore limb functionality, active robotic interventions and/or rehabilitation are required. Unfortunately, the primary obstacle in a person’s recovery is the limited robustness of the human-machine interfaces. Current systems rely on control approaches that rely on the person to learn how the system works instead of the system being more intuitive and working with the person naturally. My research goal is to design intuitive control mechanisms based on biological processes termed …

Rule Extraction And Insertion To Improve The Performance Of A Dynamic Cell Structure Neural Network, Osama Amhamed Elsarrar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Artificial Neural Networks are extremely useful machine learning tools. They are used for many purposes, such as prediction, classification, pattern recognition, etc. Although neural networks have been used for decades, they are still often not completely understood or trusted, especially in safety and mission critical situations. Typically, neural networks are trained on data sets that are representative of what needs to be learned. Sometimes training sets are constructed in order to train the neural network in a certain way, in order to embed appropriate knowledge. The purpose of this research is to determine if there is another method that can …

Evaluation And Understandability Of Face Image Quality Assessment, Mohammad I. Nouyed

Graduate Theses, Dissertations, and Problem Reports (ETD)

Face image quality assessment (FIQA) has been an area of interest to researchers as a way to improve the face recognition accuracy. By filtering out the low quality images we can reduce various difficulties faced in unconstrained face recognition, such as, failure in face or facial landmark detection or low presence of useful facial information. In last decade or so, researchers have proposed different methods to assess the face image quality, spanning from fusion of quality measures to using learning based methods. Different approaches have their own strength and weaknesses. But, it is hard to perform a comparative assessment of …

Evaluating The Consistency Of A Breathing Flow Recording Device Across Different Elastomeric Half-Mask Respirators, Samuel Jennings Munnis

Graduate Theses, Dissertations, and Problem Reports (ETD)

The National Institute of Occupational Safety and Health (NIOSH) is the organization in charge of approving respiratory devices in the United States, as permitted by 42 CFR Part 84. Standards that NIOSH uses to certify powered air-purifying respirators (PAPRs) are based on respiratory data collected before the 21^st century. With new technologies, it is possible to gain a more accurate understanding of breathing flow of healthcare workers (HCWs). A new portable breathing flow recording device developed by The S.E.A. Group was intended for use with a Sundström SR100 mask with a P100 filter. This study tests the device with …

Phased Array Feed Beamforming And Its Application In Mapping Extended Sources, Gargi Roy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ever since the detection of radio signals, technology has strived to improve the performance of the hardware associated with detecting and observing faint radio sources by improving signal processing and detection techniques. Phased array feeds (PAFs) for radio telescopes can yield in an increase in the survey speed and field of view for reflector antennas. Beamforming, calibration, and imaging are some of the challenges that need to be addressed in order to further the development of PAFs. There is a trade-off between achieving high sensitivity and maintaining a stable clean beam pattern when it comes to beamforming design strategies. A …

Global Existence And Asymptotic Behaviors For Some Nonlinear Partial Differential Equations., Ismahan Dhaw Binshati

Graduate Theses, Dissertations, and Problem Reports (ETD)

We study global existence and asymptotic behavior of the solutions for two-fluid compressible isentropic Euler-Maxwell equations by the Fourier transform and energy method. We discuss the case when the pressure for two fluids is not identical and we also add the friction between two fluids. In addition, we discuss the rates of decay of $L^{p}-L^{q}$ norms for a linear system. Moreover, we use the result for $L^{p}-L^{q}$ estimates to prove the decay rates for the nonlinear systems. In addition, we prove existence of heteroclinic orbits for the nonlinear Vlasov and the one-dimensional Vlasov-Poisson systems. In the nonlinear Vlasov case with …

Persistence Of Undergraduate Women In Stem Through Timsi, Heather L. Henderson

Graduate Theses, Dissertations, and Problem Reports (ETD)

There is a need to increase the persistence of women in science careers. This study focuses on undergraduate women majoring in or interested in science. Despite interest early on in their academic careers, women are leaving STEM at higher rates than other fields. Through the framework of the Tripartite Integration Model of Social Influence (TIMSI), this study explores psychosocial factors leading to integration in science careers. 484 undergraduate women from 9 universities in the Colorado/Wyoming Front Range and the Carolinas were recruited into this study and surveyed through 8 waves of data collection. A model building process was performed using …

In Situ Infrared Spectroscopic Study Of Iron-Catalyzed Hydromagnesiation Of Vinyl Arenes, Jessica Ann Rogers

Graduate Theses, Dissertations, and Problem Reports (ETD)

Iron catalysis, especially homogeneous catalysis, has been a resurging topic of organometallic chemistry research. Discussions of past and present mechanistic analyses for homogeneous iron catalysis will be discussed in Chapter 1. As an expansion of homogeneous iron catalysis, in situ infrared spectroscopy will be used to develop a full mechanistic study of iron-catalyzed hydromagnesiation of vinyl arenes. The kinetic analyses by both initial and observed rate measurements indicate complex concentration dependencies on the (PDI)iron catalyst as well as sacrificial Grignard reagent and styrene. These complexities are not limited to non-linear catalyst and Grignard initial rate and inhibition by styrene/Grignard at …

Thermal Performance Of Growth At Consumption Maximum (C-Max) And Routine Metabolic Rate (Rmr) In Brook Trout Salvelinus Fontinalis From Four Populations In Central Appalachia, Cory Michael Hartman

Graduate Theses, Dissertations, and Problem Reports (ETD)

Growth of an individual is the end result of many physiological processes stemming from the consumption of food items. These processes can be influenced by many variables including temperature. Current bioenergetics models for Brook Trout Salvelinus fontinalis suggest growth increases with temperature until an inflection point of 20.2°C. With a warming climate, and water temperatures expected to rise, the ability of a population to adapt to the warming environment is crucial to the survival of the species. For this study we sought to see how spatial variation would influence the specific consumption, conversion efficiency, and specific growth at consumption maximum …

Utilization Of Scale In Keypoint Detection And Feature Description, Andrew P. Rhodes

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ubiquitous availability of inexpensive three dimensional (3D) sensors has led to an abundance of keypoint detection and feature description techniques for point-clouds. While some recent methods utilize color along with geometric information, most only implicitly discuss -- if not completely disregard -- the information provided by scale. Scale is an inherent characteristic of any keypoint or feature that describes its physical size or region of support.

Exploiting information provided by scale facilitates the processes of keypoint detection and feature description. A 3D scale-space, extended from robust and popular 2D methods, is constructed to diffuse a signal on triangulated meshes. Methods …