Digital Commons Network^™

Validation Of A School Climate Instrument Using A Rasch Rating Scale Model, Audrey Conway Roberts

Theses and Dissertations--Education Sciences

A new ESSA indicator of school quality and student success provides flexibility to broaden a states’ definition of school and student success. Educational research has found school success is in part determined by a school’s climate and should be considered in improvement/reform strategies (Cohen et al., 2009; Thapa et al., 2013). Yet, school climate research is often difficult and time consuming, and employs a variety of conflicting definitions and dimensions, instruments, and empirical approaches to determining school climate. Given these significant limitations with current measures, the purpose of this study was to validate an instrument measuring school climate based on …

Metadata-Based Image Collecting And Databasing For Sharing And Analysis, Xi Wu

Theses and Dissertations--Computer Science

Data collecting and preparing is generally considered a crucial process in data science projects. Especially for image data, adding semantic attributes when preparing image data provides much more insights for data scientists. In this project, we aim to implement a general-purpose central image data repository that allows image researchers to collect data with semantic properties as well as data query. One of our researchers has come up with the specific challenge of collecting images with weight data of infants in least developed countries with limited internet access. The rationale is to predict infant weights based on image data by applying …

A Diverse Band-Aware Dynamic Spectrum Access Architecture For Connectivity In Rural Communities, Vijay K. Shah

Theses and Dissertations--Computer Science

Ubiquitous connectivity plays an important role in improving the quality of life in terms of economic development, health and well being, social justice and equity, as well as in providing new educational opportunities. However, rural communities which account for 46% of the world's population lacks access to proper connectivity to avail such societal benefits, creating a huge "digital divide" between the urban and rural areas. A primary reason is that the Information and Communication Technologies (ICT) providers have less incentives to invest in rural areas due to lack of promising revenue returns. Existing research and industrial attempts in providing connectivity …

Novel Applications Of Machine Learning In Bioinformatics, Yi Zhang

Theses and Dissertations--Computer Science

Technological advances in next-generation sequencing and biomedical imaging have led to a rapid increase in biomedical data dimension and acquisition rate, which is challenging the conventional data analysis strategies. Modern machine learning techniques promise to leverage large data sets for finding hidden patterns within them, and for making accurate predictions. This dissertation aims to design novel machine learning-based models to transform biomedical big data into valuable biological insights. The research presented in this dissertation focuses on three bioinformatics domains: splice junction classification, gene regulatory network reconstruction, and lesion detection in mammograms.

A critical step in defining gene structures and mRNA …

Rule Mining And Sequential Pattern Based Predictive Modeling With Emr Data, Orhan Abar

Theses and Dissertations--Computer Science

Electronic medical record (EMR) data is collected on a daily basis at hospitals and other healthcare facilities to track patients’ health situations including conditions, treatments (medications, procedures), diagnostics (labs) and associated healthcare operations. Besides being useful for individual patient care and hospital operations (e.g., billing, triaging), EMRs can also be exploited for secondary data analyses to glean discriminative patterns that hold across patient cohorts for different phenotypes. These patterns in turn can yield high level insights into disease progression with interventional potential. In this dissertation, using a large scale realistic EMR dataset of over one million patients visiting University of …

Learning To Map The Visual And Auditory World, Tawfiq Salem

Theses and Dissertations--Computer Science

The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Billions of images that capture this complex relationship are uploaded to social-media websites every day and often are associated with precise time and location metadata. This rich source of data can be beneficial to improve our understanding of the globe. In this work, we propose a general framework that uses these publicly available images for constructing dense maps of different ground-level attributes from overhead imagery. In particular, we use well-defined probabilistic models and a weakly-supervised, multi-task training …

Relation Prediction Over Biomedical Knowledge Bases For Drug Repositioning, Mehmet Bakal

Theses and Dissertations--Computer Science

Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying other essential relations (e.g., causation, prevention) between biomedical entities is also critical to understand biomedical processes. Hence, it is crucial to develop automated relation prediction systems that can yield plausible biomedical relations to expedite the discovery process. In this dissertation, we demonstrate three approaches to predict treatment relations between biomedical entities for the drug repositioning task …

Hadoop-Edf: Large-Scale Distributed Processing Of Electrophysiological Signal Data In Hadoop Mapreduce, Yuanyuan Wu

Theses and Dissertations--Computer Science

The rapidly growing volume of electrophysiological signals has been generated for clinical research in neurological disorders. European Data Format (EDF) is a standard format for storing electrophysiological signals. However, the bottleneck of existing signal analysis tools for handling large-scale datasets is the sequential way of loading large EDF files before performing an analysis. To overcome this, we develop Hadoop-EDF, a distributed signal processing tool to load EDF data in a parallel manner using Hadoop MapReduce. Hadoop-EDF uses a robust data partition algorithm making EDF data parallel processable. We evaluate Hadoop-EDF’s scalability and performance by leveraging two datasets from the National …

Spinal Kappa Opioid Receptor Activity Inhibits Adenylyl Cyclase-1 Dependent Mechanisms Of Chronic Postoperative Pain, Lilian Custodio

Theses and Dissertations--Physiology

Chronic postoperative pain impacts millions of individuals worldwide that undergo a variety of surgical procedures. Opioids remain the mainstay analgesics of acute and perioperative pain; however, prolonged opioid therapy may lead to life-threating adverse effects, tolerance, dependence, and addiction. Therefore, unraveling the cellular mechanisms that drive persistent pain states and opposing endogenous analgesia provided by opioid receptor signaling, may lead to novel analgesics. Evidence suggests that tissue injury leads to increased sensitization of the spinal cord nociceptive neurons which increases susceptibility to chronic pain via an N-methyl-D-aspartate (NMDA) receptor activation of calcium-sensitive adenylyl cyclase isoform 1 (AC1). This phenomenon, named …

Targeting Maladaptive Plasticity After Spinal Cord Injury To Prevent The Development Of Autonomic Dysreflexia, Khalid C. Eldahan

Theses and Dissertations--Physiology

Vital autonomic and cardiovascular functions are susceptible to dysfunction after spinal cord injury (SCI), with cardiovascular dysregulation contributing to morbidity and mortality in the SCI population. Autonomic dysreflexia (AD) is a condition that develops after injury to the sixth thoracic spinal segment or higher and is characterized by potentially dangerous and volatile surges in arterial pressure often accompanied with irregular heart rate, headache, sweating, flushing of the skin, and nasal congestion. These symptoms occur in response to abnormal outflow of sympathetic activity from the decentralized spinal cord typically triggered by noxious, yet unperceived nociceptive stimulation beneath the level of lesion. …

Preclinical Targeting Of Trem2 For The Treatment Of Alzheimer's Disease-Type Pathology In A Transgenic Mouse Model, Brittani Rae Price

Theses and Dissertations--Physiology

Alzheimer's disease (AD) is defined as a progressive neurodegenerative disorder and is characterized by a devastating mental decline. There are three pathological hallmarks of the disease necessary for its diagnosis, these are extracellular amyloid plaques comprised of the beta-amyloid (Aβ) protein, intracellular neurofibrillary tangles comprised of hyperphosphorylated tau protein, and marked neuronal loss. Active immunization against Aβ_1-42 or passive immunization with monoclonal anti-Aβ antibodies has been shown to reduce amyloid deposition and improve cognition in transgenic mouse models of AD, aged beagles, and nonhuman primates. Unfortunately, due to cerebrovascular adverse events, both active and passive immunization strategies targeting Aβ …

Variability In Plasma Concentrations Of Methylprednisolone 6 Days After Intrasynovial Injection Of Methylprednisolone Acetate In Racing Horses: A Field Study, Jacob Machin, W. Duer, G. Maylin, C. K. Fenger, D. Wilson, M. Ivey, B. Berthold, S. Allison, Thomas Tobin

Veterinary Science Faculty Publications

Background: Methylprednisolone (MP) acetate is a commonly used corticosteroid for suppression of inflammation in synovial structures in horses. Its use is often regulated in equine sports by plasma MP concentrations. Objectives: To describe variability in MP plasma concentrations after MP acetate injection in different synovial structures and with co-administration with hyaluronic acid (HA). Study design: Field study in actively racing horses in three disciplines (Thoroughbred, Standardbred and Quarter Horse). Methods: Seventy-six horses (15 Thoroughbreds, 20 Standardbreds and 41 Quarter Horses) were included in the study. Injection of any synovial structure with a total body dose of 100 mg MP acetate …

Evaluating The After Effects Of Successful Hazard Mitigation: Calculating The Social Benefit Of London, Kentucky’S Post-Mitigation Creation Of Public Park Space, Christopher Greyson Evans

MPA/MPP/MPFM Capstone Projects

After receiving FEMA hazard mitigation grants to improve weather and water management infrastructure, many communities are able to complete additional capital improvement projects that would not have been possible without the improvements facilitated by FEMA grants. FEMA projects often convert tracts of land to greenspace, or stabilize flood-damaged lands. Many communities then build public parks on such lands as a direct result. Although these parks or greenspaces create a benefit for their communities, FEMA’s methods for post-project evaluation, known as “Loss Avoidance Studies,” do not typically take the costs and benefits of new parks or greenspaces into consideration. From 2011-2015, …

Legalizing Recreational And Medical Marijuana In The State Of Kentucky: A Tax Revenue Recommendation, Drew Barker

MPA/MPP/MPFM Capstone Projects

No executive summary.

An Analysis Of Mergers And Acquisitions In Non-Profit Organizations, Shakiyla K. Davis

MPA/MPP/MPFM Capstone Projects

This paper hypothesizes that poor planning of merger or acquisitions will lead to increased issues within the organization. To effectively examine the hypothesis, the paper provides an overview of mergers and acquisitions. The paper highlights the process and considerations of a merger and acquisition and uses examples to provide insight on successful and unsuccessful partnerships.

Evaluation Of A Palliative Care Initiative On The African Continent: Responsibly Improving Access To Pain Treatment, J. Spencer Hirschi

MPA/MPP/MPFM Capstone Projects

The African continent today faces a crisis of inadequate palliative care, in spite of the growing level of suffering of its citizens who are faced with debilitating diseases and injuries. Much of this problem stems from deeply ingrained attitudes towards opioids: while the American continent grapples with the effects of opioid overprescribing, physicians trained in Africa are taught that opioids are inappropriate for virtually all scenarios, and therefore they come to fear and avoid their use or simply remain untrained on them altogether. Patients fail to advocate for themselves out of submission to the doctor’s authority, governments remain apathetic to …

A Study On The Determinants Of Childbirth In Primary Local Government Districts In South Korean ‘Do’ Metro Provinces, Seungmin Kim

MPA/MPP/MPFM Capstone Projects

Korea is experiencing a very serious low fertility rate. As of 2017, Korea has a fertility rate of 1.05, which is the lowest among the G20 countries. The low fertility rate can lead to pension burden problems and economic recession problems. In particular, the Primary Local Government Districts ((PLGDs) in "Do" Metro provinces in Korea may have a problem of a decrease in the agricultural population, and the reduction of organizational and administrative functions due to the reduction of fiscal income. To solve the low fertility rate, we need to identify factors that affect childbirth, and to engage in policy …

Female Disparity And Political Participation In The Kentucky State Legislature; The Presence Of Female Legislative Candidates And Their Effect On Voter Turnout In The Kentucky Electorate, Trenton K. Patrick

MPA/MPP/MPFM Capstone Projects

Female disparity in the political process in the state of Kentucky follows the same distinct pattern of female disparity all across state legislatures in the United States, and in the federal legislative branch. Female representation and parity in the political process is vital to the success of governmental bodies due to the benefits that the female perspective offers to governmental processes. After extensive review of the existing literature, it is clear that there is a gap in the literature when it comes to understanding how the presence of a female candidate effects the total turnout rate, female turnout rate, and …

Evaluating The Impact Of Fine Particulate Matter Pollution Standards On Mortality Rates In The Southeastern United States, Lauren Wice

MPA/MPP/MPFM Capstone Projects

The Environmental Protection Agency (EPA) continuously monitors six criteria pollutants that are known to have impacts on public health and welfare. One of these pollutants, fine particulate matter, or PM_2.5 (which includes particles that are smaller than 2.5 micrometers in diameter), is easily inhalable and can enter the lining of the lungs and the bloodstream, posing a great risk to human health. Standards for allowable concentrations of PM_2.5 were amended in 1997, 2006, and again in 2012, becoming increasingly stringent each time. According to the EPA, health organizations, and other research studies, these particles can specifically contribute to …

Role Of Mcp-1 And Ccr2 In Ethanol-Induced Damage In The Developing Brain, Kai Zhang

Theses and Dissertations--Pharmacology and Nutritional Sciences

Fetal alcohol spectrum disorders (FASD) are caused by alcohol exposure during pregnancy and is the leading cause of mental retardation. Alcohol exposure during development results in the loss of neurons in the developing brain. The underlying molecular mechanisms are unclear and there currently is no cure for FASD. Ethanol-induced neuronal death is accompanied by neuroinflammation. Chemokine monocyte chemoattractant protein 1 (MCP-1) and its receptor C-C chemokine receptor type 2 (CCR2) are critical mediators of neuroinflammation and microglial activation. Using a third trimester equivalent mouse model of ethanol exposure, we found that treatment of Bindarit (MCP-1 synthesis inhibitor) and RS504393 (CCR2 …

A Flexible Zero-Inflated Poisson Regression Model, Eric S. Roemmele

Theses and Dissertations--Statistics

A practical problem often encountered with observed count data is the presence of excess zeros. Zero-inflation in count data can easily be handled by zero-inflated models, which is a two-component mixture of a point mass at zero and a discrete distribution for the count data. In the presence of predictors, zero-inflated Poisson (ZIP) regression models are, perhaps, the most commonly used. However, the fully parametric ZIP regression model could sometimes be restrictive, especially with respect to the mixing proportions. Taking inspiration from some of the recent literature on semiparametric mixtures of regressions models for flexible mixture modeling, we propose a …

Neuropsychological Correlates Of Striatal Dopaminergic Dysfunction In Parkinson’S Disease, Brittany D. Walls

Theses and Dissertations--Psychology

Parkinson’s disease (PD) is a common neurodegenerative disorder associated with dysfunction of the basal ganglia, which contributes to a range of motor, cognitive, and affective symptoms. Striatal dopaminergic deficits are one of the core pathological mechanisms thought to contribute to the extra-motor (i.e., cognitive and affective) symptoms in early PD. The present study investigated the relationship between striatal dopaminergic integrity and cognition in 21 patients with PD and 21 age and education matched controls. Each individual underwent dopamine transporter (DaT) imaging with single photon emission computed tomography (SPECT) (i.e., DaTscan) and standardized neuropsychological testing. Strong positive associations were found between …

An Oral History Exploration Of Change At The University Of Kentucky Following The Virginia Tech Shooting, Marianne R. L. Young

Theses and Dissertations--Educational Policy Studies and Evaluation

Following the mass shooting at Virginia Tech on April 16, 2007, institutions of higher education appeared to restructure themselves and change the way that they worked with students who may pose a risk to self or others. They formed committees, sometimes known as Communities of Concern, to help review these concerns and respond appropriately. The purpose of this study was to examine how the Community of Concern Committee at the University of Kentucky was developed following the incident at Virginia Tech. Particular attention was focused on the change and learning that took place. Using the frames of single-loop and double-loop …

It’S Not The Programs; It’S The People: Building Human Levers Of Retention In Community Colleges, Kyle Barron

Theses and Dissertations--Educational Policy Studies and Evaluation

Student attrition prior to the completion of a credential is an issue that has increasingly demanded the attention of stakeholders in higher education, particularly in the community college sector, in which less than half of all students complete a credential after six years. The costs of student attrition are high and widespread, ranging from the financial costs for institutions and federal and state governments to the personal and monetary costs paid by those students whose personal and professional goals are not achieved. With the ever-increasing focus on accountability for institutions of higher education and the growing movement toward performance-based funding, …

Assessing The Model Fit Of Multidimensional Item Response Theory Models With Polytomous Responses Using Limited-Information Statistics, Caihong Rosina Li

Theses and Dissertations--Education Sciences

Under item response theory, three types of limited information goodness-of-fit test statistics – M₂, M_ord, and C₂ – have been proposed to assess model-data fit when data are sparse. However, the evaluation of the performance of these GOF statistics under multidimensional item response theory (MIRT) models with polytomous data is limited. The current study showed that M₂ and C₂ were well-calibrated under true model conditions and were powerful under misspecified model conditions. M_ord were not well-calibrated when the number of response categories was more than three. RMSEA₂ and RMSEA_C2 are …

The Effect Of Increased Physical Activity On Academic Performance, Lauren Michelle Willis

Theses and Dissertations--Education Sciences

Increased levels of obesity, particularly among American youth, have consistently been cause for concern over the last few decades. Additionally, the amount of time youth spend being active throughout the day has consistently decreased. Physical activity levels among school-aged children in America are effected by any number of reasons, but this study points to the possibility of time spent being physically active during the school day having the greatest effect on a student’s overall level of physical activity. Increased pressures from different entities on local schools to improve student performance on standardized test scores have contributed to a decline in …

The Influence Of Patient-Provider Interaction, Self-Concept, And The Socio-Physical Environment On Pelvic Exam Seeking Behavior, Anxiety, And The Health Care Experience, Julie Lasslo

Theses and Dissertations--Education Sciences

Regular gynecological screenings are critical for women in promotion of health and preventing diseases like cervical cancer. Despite the importance of such examinations, many women fail to adhere to recommended screening protocols. As a result, women experience an increased disease risk. The current study examined the relationship between patient-provider communication quality, skill, and empathy on pelvic exam seeking behavior and exam-related anxiety and satisfaction. Additionally, negative self-concept, perceived poor genital self-image, and various elements of the socio-physical clinic environment were explored to better understand their impact on a women’s care seeking behavior.

A total of 350 women 19 through 80 …

A Leadership Perspective On Family Engagement: Qualitative Content Analysis Of Secondary Data, Stephanie Anderson

Theses and Dissertations--Education Sciences

The purpose of the study was to explore the leadership actions and activities that contributed to the implementation of a schoolwide family engagement initiative in a school. A qualitative content analysis of secondary data design was used to investigate the intentional actions and activities of a school leadership team during the implementation of a family engagement initiative within an elementary school. The Coherence Framework (Fullan & Quinn, 2016) provided a lens for which to investigate schoolwide change across drivers and sub-drivers.

The findings of this study describe intentional leadership actions and activities when communicating with families, conducting formal assessments, and …

Walking With A Robotic Exoskeleton Does Not Mimic Natural Gait: A Within-Subjects Study, Chad Swank, Sharon Wang-Price, Fan Gao, Sattam Almutairi

Kinesiology and Health Promotion Faculty Publications

Background: Robotic exoskeleton devices enable individuals with lower extremity weakness to stand up and walk over ground with full weight-bearing and reciprocal gait. Limited information is available on how a robotic exoskeleton affects gait characteristics.

Objective: The purpose of this study was to examine whether wearing a robotic exoskeleton affects temporospatial parameters, kinematics, and muscle activity during gait.

Methods: The study was completed by 15 healthy adults (mean age 26.2 [SD 8.3] years; 6 males, 9 females). Each participant performed walking under 2 conditions: with and without wearing a robotic exoskeleton (EKSO). A 10-camera motion analysis system synchronized with 6 …

Soft Skills: Old & New, Kevin Wayne Beardmore

Theses and Dissertations--Educational Policy Studies and Evaluation

The problem of a prepared workforce is perennial. Part of the challenge is one of supply and demand, as education systems attempt to produce graduates with the technical competencies required for the current jobs available. In the new service- and knowledge-based economy, however, soft skills are cited as a greater need by today’s employers. Increasingly sought across all industry sectors, these skills allow employees to work independently and interdependently, respond rapidly to customer needs, and adjust to changing market conditions. As a result, institutions of higher education are being called upon to infuse soft skills into their curricula. In this …