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2020

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Eye Screening In U.S. Adults With Diabetes: Examination Of Trends, Racial And Ethnic Differences, And Contribution Of Medicaid Expansion, Meps 2010-2017, Karon Lewis Jan 2020

Eye Screening In U.S. Adults With Diabetes: Examination Of Trends, Racial And Ethnic Differences, And Contribution Of Medicaid Expansion, Meps 2010-2017, Karon Lewis

College of Graduate Studies: Theses & Dissertations

Diabetic retinopathy (DR) is a prevalent cause of vision impairment and blindness among adults in the United States. Early diagnosis of DR through dilated eye examinations can reduce the risk of vision impairment or loss. Differences in eye examination rates by race and ethnicity have been suggested by prior studies emphasizing importance of increasing insurance coverage and access to care among minority populations. The Affordable Care Act aimed to expand health insurance coverage and improve access to care. This study examined trends overall and by race and ethnicity in eye examination rates and the contribution of Medicaid expansion on changes …


Assessing Hotel Employee Knowledge On Risk Factors And Risk Management Procedures For Microbial Contamination Of Hotel Water Distribution Systems, Brandon Leftwich Jan 2020

Assessing Hotel Employee Knowledge On Risk Factors And Risk Management Procedures For Microbial Contamination Of Hotel Water Distribution Systems, Brandon Leftwich

College of Graduate Studies: Theses & Dissertations

Background: Compromised hotel water supply lines by neglect or by physical and structural damage can lead to exposure of harmful pathogens to guests and staff. To reduce the risk of having contaminated water in a hotel plumbing system, some facilities may incorporate a water safety plan (WSP). WSPs are not mandatory for hotels in many US states, including the state of Georgia. As such, many hotel personnel are uninformed of WSPs and the precautions to take if their hotel water system is compromised. The purpose of this study was to identify hotel personnel’s knowledge and practices of WSPs through a …


Multiple Imputation Using Influential Exponential Tilting In Case Of Non-Ignorable Missing Data, Kavita Gohil Jan 2020

Multiple Imputation Using Influential Exponential Tilting In Case Of Non-Ignorable Missing Data, Kavita Gohil

College of Graduate Studies: Theses & Dissertations

Modern research strategies rely predominantly on three steps, data collection, data analysis, and inference. In research, if the data is not collected as designed, researchers may face challenges of having incomplete data, especially when it is non-ignorable. These situations affect the subsequent steps of evaluation and make them difficult to perform. Inference with incomplete data is a challenging task in data analysis and clinical trials when missing data related to the condition under the study. Moreover, results obtained from incomplete data are prone to biases. Parameter estimation with non-ignorable missing data is even more challenging to handle and extract useful …


A Numerical And Experimental Study On Effect Of Composition Of Ar-N2 Shielding Gas On The Weld Bead Profile And Its Prediction For Hot Wire Arc Additive Manufacturing, Niraj Pudasaini Jan 2020

A Numerical And Experimental Study On Effect Of Composition Of Ar-N2 Shielding Gas On The Weld Bead Profile And Its Prediction For Hot Wire Arc Additive Manufacturing, Niraj Pudasaini

College of Graduate Studies: Theses & Dissertations

Wire arc additive manufacturing is a process of making three-dimensional metal parts in a layer-by-layer approach using a feed wire and electric arc as a heat source. Wire arc additive manufacturing (WAAM) is becoming more popular due to its ability to create complex 3D parts, less build time, high deposition rate, and significant cost savings. Out of the many parameters used in WAAM, one of the important parameters is shielding gas which plays a significant role in material quality, properties, and defects. In this study, a controlled amount of Argon (Ar) and Nitrogen (N2) shielding gases are used …


Applying Artificial Intelligence To Medical Data, Shaikh Shiam Rahman Jan 2020

Applying Artificial Intelligence To Medical Data, Shaikh Shiam Rahman

College of Graduate Studies: Theses & Dissertations

Machine learning, data mining, and deep learning has become the methodology of choice for analyzing medical data and images. In this study, we implemented three different machine learning techniques to medical data and image analysis. Our first study was to implement different log base entropy for a decision tree algorithm. Our results suggested that using a higher log base for the dataset with mostly categorical attributes with three or more categories for each attribute can obtain a higher accuracy. For the second study, we analyzed mental health data tuning the parameters of the decision tree (splitting method, depth and entropy). …


Bridging Disparities: Mass Incarceration Among African American Men, Eghosa Asemota, Jonathan A. Grubb Jan 2020

Bridging Disparities: Mass Incarceration Among African American Men, Eghosa Asemota, Jonathan A. Grubb

Eagles Talking About the Public’s Health

No abstract provided.


Children’S Practices And Engagement In E-Reading For Pleasure: A Case Study Of A Malaysian Primary School, Ghalebandi Seyedeh Ghazal Jan 2020

Children’S Practices And Engagement In E-Reading For Pleasure: A Case Study Of A Malaysian Primary School, Ghalebandi Seyedeh Ghazal

Student Works (2020-2029)

Children nowadays have been exposed to on-screen reading or e-reading since the development of mobile application and devices to support reading and learning activities. The reading for pleasure declines as children grow older. Studies highlighted the reduces children’s time and motivation for voluntary reading because of competing interests and other leisure activities. It is believed that recent technological advancements are also contributing to the decline in reading for pleasure. This study employed a case study approach to understanding children’s practices and engagement in e-reading for pleasure context. The following research questions were put forward in the investigation: a) how do …


Tnf-Block Genotypes Influence Susceptibility To Hiv-Associated Sensory Neuropathy In Indonesians And South Africans, Jessica Gaff, Fitri Octaviana, Prinisha Pillay, Huguette Gaelle Ngassa Mbenda, Ibnu A. Ariyanto, June Ann Gan, Catherine L. Cherry, Peter Kamerman, Simon M. Laws, Patricia Price Jan 2020

Tnf-Block Genotypes Influence Susceptibility To Hiv-Associated Sensory Neuropathy In Indonesians And South Africans, Jessica Gaff, Fitri Octaviana, Prinisha Pillay, Huguette Gaelle Ngassa Mbenda, Ibnu A. Ariyanto, June Ann Gan, Catherine L. Cherry, Peter Kamerman, Simon M. Laws, Patricia Price

Research outputs 2014 to 2021

HIV-associated sensory neuropathy (HIV-SN) is a disabling complication of HIV disease and antiretroviral therapies (ART). Since stavudine was removed from recommended treatment schedules, the prevalence of HIV-SN has declined and associated risk factors have changed. With stavudine, rs1799964*C (TNF-1031) associated with HIV-SN in Caucasians and Indonesians but not in South Africans. Here, we investigate associations between HIV-SN and rs1799964*C and 12 other polymorphisms spanning TNF and seven neighboring genes (the TNF-block) in Indonesians (n = 202; 34/168 cases) and South Africans (n = 75; 29/75 cases) treated without stavudine. Haplotypes were derived using fastPHASE and haplotype networks built with PopART. …


Serum Hepcidin Levels In Cognitively Normal Older Adults With High Neocortical Amyloid-Beta Load, Pratishtha Chatterjee, Maryam Mohammadi, Kathryn Goozee, Tejal Shah, Hamid R. Sohrabi, Cintia B. Dias, Kaikai Shen, Prita R. Asih, Preeti Dave, Steve Pedrini, Nicholas J. Ashton, Abdul Hye, Kevin Taddei, David B. Lovejoy, Henrik Zetterberg, Kaj Blennow, Ralph Martins Jan 2020

Serum Hepcidin Levels In Cognitively Normal Older Adults With High Neocortical Amyloid-Beta Load, Pratishtha Chatterjee, Maryam Mohammadi, Kathryn Goozee, Tejal Shah, Hamid R. Sohrabi, Cintia B. Dias, Kaikai Shen, Prita R. Asih, Preeti Dave, Steve Pedrini, Nicholas J. Ashton, Abdul Hye, Kevin Taddei, David B. Lovejoy, Henrik Zetterberg, Kaj Blennow, Ralph Martins

Research outputs 2014 to 2021

Background/Objective:

Hepcidin, an iron-regulating hormone, suppresses the release of iron by binding to the iron exporter protein, ferroportin, resulting in intracellular iron accumulation. Given that iron dyshomeostasis has been observed in Alzheimer’s disease (AD) together with elevated serum hepcidin levels, the current study examined whether elevated serum hepcidin levels are an early event in AD pathogenesis by measuring the hormone in cognitively normal older adults at risk of AD, based on high neocortical amyloid-β load (NAL).

Methods:

Serum hepcidin levels in cognitively normal participants (n = 100) aged between 65–90 years were measured using ELISA. To evaluate NAL, all …


Supporting New Graduate Registered Nurse Transition For Safety: A Literature Review Update, Melanie Murray, Deborah Sundin, Vicki Cope Jan 2020

Supporting New Graduate Registered Nurse Transition For Safety: A Literature Review Update, Melanie Murray, Deborah Sundin, Vicki Cope

Research outputs 2014 to 2021

Background: Reports suggest higher incidence of medical errors occur during times of transition for new practitioners, in part due to general staff disruption in the health services and inexperience of those entering the workplace. NGRNs experience a range of challenges on transition to professional practice and their transition experience will impact their ability to provide high quality patient care.

Aim: The aim of this review was to critically appraise the contemporary literature concerning the transition of new graduate registered nurses (NGRNs) and their patient safety knowledge and practices.

Design: A scoping review of research literature.

Methods: The review used key …


A Novel Penalty-Based Wrapper Objective Function For Feature Selection In Big Data Using Cooperative Co-Evolution, A.N.M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland Jan 2020

A Novel Penalty-Based Wrapper Objective Function For Feature Selection In Big Data Using Cooperative Co-Evolution, A.N.M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland

Research outputs 2014 to 2021

The rapid progress of modern technologies generates a massive amount of high-throughput data, called Big Data, which provides opportunities to find new insights using machine learning (ML) algorithms. Big Data consist of many features (also called attributes); however, not all these are necessary or relevant, and they may degrade the performance of ML algorithms. Feature selection (FS) is an essential preprocessing step to reduce the dimensionality of a dataset. Evolutionary algorithms (EAs) are widely used search algorithms for FS. Using classification accuracy as the objective function for FS, EAs, such as the cooperative co-evolutionary algorithm (CCEA), achieve higher accuracy, even …


Development Of An Infrared Pollution Index To Identify Ground-Level Compositional, Particle Size, And Humidity Changes Using Himawari-8, M. Sowden, D. Blake, D. Cohen, A. Atanacio, Ute Mueller Jan 2020

Development Of An Infrared Pollution Index To Identify Ground-Level Compositional, Particle Size, And Humidity Changes Using Himawari-8, M. Sowden, D. Blake, D. Cohen, A. Atanacio, Ute Mueller

Research outputs 2014 to 2021

Speciated air quality data informs health studies and quantitates impacts. However, monitoring is concentrated around populated regions whilst, large remote and rural regions remain unmonitored despite risks of dust-storms or wild-fires. Sub-hourly, infrared, geostationary data, such as the 10-min data from Himawari 8, could potentially be used to quantify regional air quality continually. Monitoring of Aerosol Optical Depth (AOD) is restricted to visible spectra (i.e. daytime only), while newer quantification methods using geostationary infrared (IR) data have focused on detecting the presence, or absence, of an event. Limited attention has been given to the determination of particle size and aerosol …


Disentangling The Mechanisms Shaping The Surface Ocean Microbiota, Ramiro Logares, Ina M. Deutschmann, Pedro C. Junger, Caterina R. Giner, Anders K. Krabberød, S. B. Schmidt, Laura Rubinat-Ripoll, Mireia Mestre, Guillem Salazar, Clara Ruiz-González, Marta Sebastián, Colomban De Vargas, Silvia G. Acinas, Carlos M. Duarte, Josep M. Gasol, Ramon Massana Jan 2020

Disentangling The Mechanisms Shaping The Surface Ocean Microbiota, Ramiro Logares, Ina M. Deutschmann, Pedro C. Junger, Caterina R. Giner, Anders K. Krabberød, S. B. Schmidt, Laura Rubinat-Ripoll, Mireia Mestre, Guillem Salazar, Clara Ruiz-González, Marta Sebastián, Colomban De Vargas, Silvia G. Acinas, Carlos M. Duarte, Josep M. Gasol, Ramon Massana

Research outputs 2014 to 2021

BACKGROUND: The ocean microbiota modulates global biogeochemical cycles and changes in its configuration may have large-scale consequences. Yet, the underlying ecological mechanisms structuring it are unclear. Here, we investigate how fundamental ecological mechanisms (selection, dispersal and ecological drift) shape the smallest members of the tropical and subtropical surface-ocean microbiota: prokaryotes and minute eukaryotes (picoeukaryotes). Furthermore, we investigate the agents exerting abiotic selection on this assemblage as well as the spatial patterns emerging from the action of ecological mechanisms. To explore this, we analysed the composition of surface-ocean prokaryotic and picoeukaryotic communities using DNA-sequence data (16S- and 18S-rRNA genes) collected during …


The Dangers Of Disclosure: How Hiv Laws Harm Domestic Violence Survivors, Courtney K. Cross Jan 2020

The Dangers Of Disclosure: How Hiv Laws Harm Domestic Violence Survivors, Courtney K. Cross

Articles

No abstract provided.


Intermediate Accounting Ii, William Hahn Jan 2020

Intermediate Accounting Ii, William Hahn

Syllabus Repository

No abstract provided.


Federal Taxation Ii, Natasha Ware Jan 2020

Federal Taxation Ii, Natasha Ware

Syllabus Repository

No abstract provided.


Biblical Hermeneutics, Margaret English De Alminana Jan 2020

Biblical Hermeneutics, Margaret English De Alminana

Syllabus Repository

No abstract provided.


Biology I Lab, Melba D. Horton Jan 2020

Biology I Lab, Melba D. Horton

Syllabus Repository

No abstract provided.


Prevalence And Types Of Incivility In Occupational Therapy Fieldwork, Deborah J. Bolding, Travis Dudley, Adrienne Dahlmeier, Lauren Bland, Aimee Castro, Adrianna Covarrubias Jan 2020

Prevalence And Types Of Incivility In Occupational Therapy Fieldwork, Deborah J. Bolding, Travis Dudley, Adrienne Dahlmeier, Lauren Bland, Aimee Castro, Adrianna Covarrubias

Faculty Research, Scholarly, and Creative Activity

Civility between health professions students and fieldwork educators enhances positive learning outcomes, while incivility can lead to stress, loss of confidence, mistakes, disengagement, and decreased patient outcomes. A survey of recent graduates of occupational therapy programs (N = 247) explored the prevalence and types of incivility and bullying experienced during their Level II fieldwork experiences. Respondents reported that incivility in fieldwork education was widespread, with more severe experiences of bullying reported by 16% of respondents. Occupational therapy programs and fieldwork educators must take an active role in prevention and management of uncivil behaviors, and promote positive academic and patient care …


Analysis And Modeling Of Power Supply Induced Jitter For High Speed Driver And Low Dropout Voltage Regulator, Yin Sun Jan 2020

Analysis And Modeling Of Power Supply Induced Jitter For High Speed Driver And Low Dropout Voltage Regulator, Yin Sun

Doctoral Dissertations

”With the scaling of power supply voltage levels and improving trans-conductance of drivers, the sensitivity of drivers to power supply induced delays has increased. The power supply induced jitter (PSIJ) has become one of the major concerns for high-speed system. In this work, the PSIJ analysis and modeling method are proposed for high speed drivers and the system with on-die low dropout (LDO) voltage regulator. In addition, a jitter-aware target impedance concept is proposed for power distribution network (PDN) design to correlate the PSIJ with PDN parasitic.

The proposed PSIJ analysis model is based on the driver power supply rejection …


Forming And Processing Of Advanced Fiber Reinforced Polymer Composites, Robert Meinders Jan 2020

Forming And Processing Of Advanced Fiber Reinforced Polymer Composites, Robert Meinders

Doctoral Dissertations

“Composite materials are commonly used in industry to manufacture strong and lightweight structures. Composites feature a large degree of flexibility in materials selection and manufacturing processes to tailor the strength of manufactured parts. This study examines different manufacturing aspects of composites. In Part I, the fabrication of composite parts using the compression forming process is examined. During compression forming, metal dies are used to apply large deformations to prepreg material to fabricate composite parts. The high stresses and deformations of this process can yield manufacturing defects. T650/5320-1 prepreg is subjected to material characterization to develop simulations of large deformation forming …


Minimizing The Negative Effect Of Pumping On Scc Freeze-Thaw Durability, Daniel Galvez-Moreno Jan 2020

Minimizing The Negative Effect Of Pumping On Scc Freeze-Thaw Durability, Daniel Galvez-Moreno

Doctoral Dissertations

“The durability of concrete must be ensured to reduce the carbon footprint of the production of portland cement. If concrete is properly designed to preserve its integrity under adverse exposure conditions, the service life of the material can be extended with minimum maintenance. Nevertheless, bad handling, placing, finishing or curing practices can abate the durability potential and service life of even the best mix design. Pumping concrete is a very efficient placing technique that offers significant cost reduction and versatility at the jobsite, but it also has the potential of altering the air void system parameters, which are key to …


Deep Learning For Digitized Histology Image Analysis, Sudhir Sornapudi Jan 2020

Deep Learning For Digitized Histology Image Analysis, Sudhir Sornapudi

Doctoral Dissertations

“Cervical cancer is the fourth most frequent cancer that affects women worldwide. Assessment of cervical intraepithelial neoplasia (CIN) through histopathology remains as the standard for absolute determination of cancer. The examination of tissue samples under a microscope requires considerable time and effort from expert pathologists. There is a need to design an automated tool to assist pathologists for digitized histology slide analysis. Pre-cervical cancer is generally determined by examining the CIN which is the growth of atypical cells from the basement membrane (bottom) to the top of the epithelium. It has four grades, including: Normal, CIN1, CIN2, and CIN3. In …


Imaging In Karst Terrain Using The Electrical Resistivity Tomography (Ert) And Multi-Channel Analysis Of Surface Waves (Masw) Methods, Hassan Abdullah Alzahrani Jan 2020

Imaging In Karst Terrain Using The Electrical Resistivity Tomography (Ert) And Multi-Channel Analysis Of Surface Waves (Masw) Methods, Hassan Abdullah Alzahrani

Doctoral Dissertations

"Electrical Resistivity Tomography (ERT) and Multi-channel Analysis of Surface Waves (MASW) methods were used to image the subsurface in karst terrain in the southeast of Missouri. A SuperSting R8 system was used to acquire the ERT profiles; a multi-channel engineering seismograph was used to acquire the MASW data. The latter data were used to constrain and verify the ERT interpreted depth to top-of-rock and soil thickness. The ERT data were used to delineate the soil/rock interface and to identify zones of anomalously high moisture content within the bedrock.

The primary objective of the research was to determine the cause of …


Physical And Biological Factors Affecting Oxygen Transfer In The Activated Sludge Wastewater Treatment Process, Kenneth A. Campbell Jan 2020

Physical And Biological Factors Affecting Oxygen Transfer In The Activated Sludge Wastewater Treatment Process, Kenneth A. Campbell

Doctoral Dissertations

“The activated sludge (AS) process is widely utilized for wastewater treatment due to its versatility and general resiliency, but is energy intensive, requiring aeration and mixing energy inputs to maintain the biochemical reaction and optimize treatment performance. This study is focused on determining different factors that influence oxygen transfer and consequently its energy demand.

AS morphology, as described by the d10, d20, d32, specific filament length (SFL), 30 min settleability (SV30), etc., does influence the OTE. Filamentous organisms increase the hydrodynamic radius of suspended particles, which dilates mixed liquor apparent viscosity (µ …


Investigating The Factors Impacting The Success Of Immiscible Carbon Dioxide Injection In Unconventional Shale Reservoirs: An Experimental Study, Sherif M. Fakher Jan 2020

Investigating The Factors Impacting The Success Of Immiscible Carbon Dioxide Injection In Unconventional Shale Reservoirs: An Experimental Study, Sherif M. Fakher

Doctoral Dissertations

"Unconventional shale reservoirs are currently gaining significant interest due to the huge hydrocarbon volumes that they bear. Enhanced oil recovery (EOR) techniques have been suggested to increase recovery from shale reservoirs. One of the most promising EOR methods is gas EOR (GEOR), most notably carbon dioxide (CO2). Not only can CO2 increase oil recovery by interacting with the oil and the shale, but it has also been shown to adsorb to the shale rock and thus is effective in both EOR applications and also carbon storage purposes. This research aims to experimentally investigate several of the interactions …


Computational Model For Neural Architecture Search, Ram Deepak Gottapu Jan 2020

Computational Model For Neural Architecture Search, Ram Deepak Gottapu

Doctoral Dissertations

"A long-standing goal in Deep Learning (DL) research is to design efficient architectures for a given dataset that are both accurate and computationally inexpensive. At present, designing deep learning architectures for a real-world application requires both human expertise and considerable effort as they are either handcrafted by careful experimentation or modified from a handful of existing models. This method is inefficient as the process of architecture design is highly time-consuming and computationally expensive.

The research presents an approach to automate the process of deep learning architecture design through a modeling procedure. In particular, it first introduces a framework that treats …


Evaluation Of The Performance Of Different Polymer Gel Systems As An In-Depth Gel Treatment Using Numerical Simulation, Tariq K. Khamees Jan 2020

Evaluation Of The Performance Of Different Polymer Gel Systems As An In-Depth Gel Treatment Using Numerical Simulation, Tariq K. Khamees

Doctoral Dissertations

"Oil production from heterogeneous and naturally fractured reservoirs are usually hindered due to the presence of high-permeability streaks and natural fractures networks. Oil production could be more lowered if there is a crossflow from the high- to the low-permeability layers and high mobility ratio. These problems are called conformance problems and the treatment is called conformance improvement technologies (CITs). The aims of CIT is to correct the heterogeneity of the reservoir and to lower the unfavorable mobility ratio. These technologies are leading to the diversion of post-treatment water into the low-permeability layers and to increase the viscosity of the displacing …


Novel Approaches For Reliable And Efficient Circuit Design, Prashanthi Metku Jan 2020

Novel Approaches For Reliable And Efficient Circuit Design, Prashanthi Metku

Doctoral Dissertations

"In this research work, a suite of approaches are presented to improve reliability of 3D heterogeneous processors (3DHP) and to reduce the area overhead of asynchronous designs. This work is primarily divided into two parts. In the first part, we present an approach for improving reliability in 3DHP. Typically, in 3DHP, thermal hotspots introduce spatial and temporal variability that results in wide bit error variation in DRAM dies. To address this issue multi- path BCH decoder is introduced. Based on the thermal gradient data generated by on-chip temperature sensors, the proposed methodology specializes in adaptively estimating the number of errors …


Minimizing The Detrimental Effects Of Hydro-Peaking On Riverbank Instability: The Lower Osage River Case, Wesam Sameer Mohammed-Ali Jan 2020

Minimizing The Detrimental Effects Of Hydro-Peaking On Riverbank Instability: The Lower Osage River Case, Wesam Sameer Mohammed-Ali

Doctoral Dissertations

"The fluctuation of water level downstream from dams due to hydropower flow releases negatively affects the riverbank stability. Therefore, this research aims to examine the feasibility of using an optimization technique to mitigate the riverbank instability resulting from the outflow variation of hydropower plants. The effects of the water releases from the Bagnell Dam were investigated by computing a series of safety factors for 78 cross sections along the 81-mile stretch of the lower Osage River in relation to outflow events by using the integrated BSTEM model incorporated into the HEC-RAS model. The 1-D sediment transport and unsteady flow in …