Digital Commons Network^™

Learning Topology Preserving Embeddings For Speeding Up Nearest Neighbor Retrieval, Mason Lary

Computer Science and Engineering Theses - Archive

Given a database of objects and a query object, it’s possible to gather a number of the closest neighbors to the query object. This operation is important to a number of diverse fields such as computer vision, content- based information retrieval, and chemistry. However, distance measures used to determine neighbors can cause queries to be computationally expensive, either because the distance measure is complex or because it is nonmetric and prevents efficient indexing methods. This work presents novel methods of triplet mining that enable neural networks using triplet loss to learn the manifold that data resides in. These neural networks …

Distraction Detection And Intention Recognition For Gesture-Controlled Unmanned Aerial Vehicle Operation, Debayan Datta

Computer Science and Engineering Theses - Archive

Gesture Control as a way to replace more conventional remote-control operations has been pursued for a significant period of time with different levels of success. The use of gestures to control different types of human interfaces is today predominantly seen in the multimedia sector. People perform easy and intuitive gestures to control their televisions, to interact with multimedia, and to play games. Also, much research has been carried out to experiment with human interfaces to numerous augmented and virtual reality devices and tasks. The results of these experiments were so exciting that researchers started to expand the use of gestures …

Detection And Classification Of Object Presence And Characteristics In A Water Container Using High Frequency Ultrasound, Mehul Vishal Sadh

Computer Science and Engineering Theses - Archive

Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring for health applications. In particular in the latter task, it is essential to be able to non-intrusively detect the appearance, presence, and consistency of materials in the water without the need for special purpose instruments or a special purpose setting. Rather, it would be important that sensing could be performed int he context of existing toilet systems. To achieve this, this work investigates the potential use of high frequency sonar sensors retrofitted to …

A Combinatorial Approach To Fairness Testing Of Machine Learning Models, Ankita Ramjibhai Patel

Computer Science and Engineering Theses - Archive

Machine Learning (ML) models could exhibit biased behavior, or algorithmic discrimination, resulting in unfair or discriminatory outcomes. The bias in the ML model could emanate from various factors such as the training dataset, the choice of the ML algorithm, or the hyperparameters used to train the ML model. In addition to evaluating the model’s correctness, it is essential to test ML models for fair and unbiased behavior. In this thesis, we present a combinatorial testing-based approach to perform fairness testing of ML models. Our approach is model agnostic and evaluates fairness violations of a pre-trained ML model in a two-step …

“Strict Moderation?” The Impact Of Increased Moderation On Parler Content And User Behavior, Nihal Kumarswamy

Computer Science and Engineering Theses - Archive

Social media platforms have brought people from different backgrounds, ethnicity, race, gender, etc together to form a platform to share ideas and opinions and discuss news events among other social events. Unfortunately, these platforms have also been a safe haven for abusive users who harass, bully other users or spread misinformation and disinformation. Social media platforms have a huge incentive to police these abusive users and keep them in check to allow other genuine users to use their platform. Social media platforms employ several different content moderation techniques to perform this task. These techniques vary across platforms, for example, Parler …

A Non-Contact Based System To Measure Spo2 And Systolic/Diastolic Blood Pressure Using Rgb-Nir Camera, Divya Saxena

Computer Science and Engineering Theses - Archive

In recent times, people have increasingly self-assessed their health using different devices on their bodies that monitor physiological attributes such as their oxygen level and blood pressure (BP) to monitor their health. One of the most popular health concerns that became prominent during the COVID-19 pandemic was the blood oxygen saturation (SPO2) level. It became increasingly important to monitor SPO2 in patients, time and again to determine whether the right amount of oxygen is in the blood. Low oxygen levels usually indicate there may be an issue with oxygen circulation or supply and thus informs diagnostic and treatment decisions such …

The Development And Characterization Of Piezoelectric- Magnetostrictive Smart Self-Sensing Composites, George Relebohile Qhonosheane

Mechanical and Aerospace Engineering Dissertations - Archive

The composites industry is expanding due to the growing global demand for high-performance materials. How do you ensure the production of composites is as smooth and effective as possible while maintaining the high quality of the material? The key issues in composites include crack occurrence, sticking to molds in the production process, and durability differences during their operation. However, monitoring such cases can be challenging. The industry is in need of a smart solution to be able to obtain accurate data from the raw material. This work focuses on the development of smart composite materials. The word composite comes from …

Assessment Of Contaminant Flowpaths In Airside Economization And Analysis Of Thermal Performance At Tank And Server Level For Single-Phase Immersion Cooled Data Centers, Satyam Saini

Mechanical and Aerospace Engineering Dissertations - Archive

The last two decades of 2000 have seen an explosion of utilization and reliance on digital technologies and platforms. During this time, electronic devices have undergone intense miniaturization and a corresponding rise in power densities. In parallel to these developments, data center proliferation has been driven by the increasing utility of revolutionary technologies such as Machine Learning, Artificial Intelligence, e-commerce and, the Internet of Things. Data centers, thus, have become the core of the modern digital age. The primary bottleneck, however, due to extensive device miniaturization and data center proliferation has always been thermal management. Many of the aforementioned technologies …

Development Of An Electro-Pneumatic Servo Clutch And Industry-Level Controller, Timothy Stevens

Mechanical and Aerospace Engineering Theses - Archive

This thesis covers the simulation and development of an electro-pneumatic servo clutch used on an FSAE racecar. This project utilizes a sophisticated simulation and various techniques to increase performance such as utilizing pulse-width and pulse-frequency modulation and the use of a 36V supply with constant current limiting to drive the solenoids. The clutch is actuated using a pneumatic cylinder with the internal pressure modulated using commercially available CNG fuel injectors. This thesis also describes the development of the electronic controller designed using analog circuits, as well as the integration of digital circuits to control operations such as launch control and …

Computational Reliability Analysis Of Blind Micro-Via With 3d And Axisymmetric Multi-Layer Pcb, Jayendra Bazaru

Mechanical and Aerospace Engineering Theses - Archive

Micro-via are components that are used to form connections from one layer to another in most Multilayered Printed Circuit Boards (PCBs). The failure of Micro-via has always been a concern of the electronic industry. The failures are exaggerated during the reflow process due to the high thermal loading. Electronic components have become ubiquitous in our society. It is important to take some measures to reduce (or) eliminate the failures at interconnects in the Printed Circuit Board to obtain highly reliable Input/Output (I/O). This work is based on a hypothetical belief that the possible cause of failure is an insufficient or …

Developing A Semester-Long Project In A Biomechanical Engineering Course To Instill The Entrepreneurial Mindset In The Next-Generation Biomedical Engineering Students, Loren Hedgecock

Biomedical Engineering Undergraduate Honors Theses

Entrepreneurial-Minded Learning (EML) is an emerging pedagogy progressively gaining popularity in the engineering education community. Coincided with project-based learning (PBL), EML illustrates an essential dimension to the instruction of next-generation engineers, equipping them with various perspectives and approaches to relate societal challenges with technical concepts. Nationwide initiatives, such as the Kern Entrepreneurial Engineering Network (KEEN), have developed a learning framework specifically designed to create engineers such as these. The implementation of EML aims to stimulate connections, create value, and ignite curiosity. This study introduced a semester-long project based on these EML skillsets in a sophomore-level biomechanical engineering course. To evaluate …

The Interaction Of Angiotensin I And Ii On Calcified Aortic Valve Cells, Fah Sysavanh

Biomedical Engineering Undergraduate Honors Theses

Cardiovascular diseases affect the older population with limited treatments available. Aortic valve stenosis is a cardiovascular disease in which the aortic valve narrows, causing blood flow constriction and calcification.¹ The only treatment is to replace the valve, which can be costly and lead to other health complications.

The renin-angiotensin system (RAS) is a pathway that helps with maintaining cardiovascular homeostasis. Angiotensin I (ANGI) and II (ANGII) are hormones in the RAS that cause an increase in inflammation, stress, and blood pressure by binding to the Angiotensin Type 1 Receptor (AT1R).¹ Gelatin-based valve thin film (vTF) platforms were fabricated to investigate …

Alternative Fixation Of Venous Valves For Bioprosthetic Applications, Makenzie Kapales

Biomedical Engineering Undergraduate Honors Theses

Venous valve failure allows for the retrograde, or backward, flow of blood into the lower extremities, which leads to Chronic Venous Insufficiency (CVI). CVI infringes upon quality of life through ulceration and can result in death due to Deep Vein Thrombosis (DVT), or blood clots, causing pulmonary embolism. A successful treatment of CVI restores valve function and prevents retrograde blood flow; however, current bioprosthetic venous valves exhibit low patency and high calcification. To improve upon bioprosthetic venous valves and CVI treatment, the University of Arkansas’s Cardiovascular Biomechanics Lab conducts studies with the purpose of comparing the properties and performance of …

Virtual Reality As An Education Tool In Biomedical Engineering, Megan Wilkerson

Biomedical Engineering Undergraduate Honors Theses

Virtual Reality (VR) has become more accessible in recent years, both to experience and to create. Various studies have shown that incorporating VR in an educational setting can yield positive results. Virtual reality videos created using course-specific content could prove to be a beneficial educational tool. VR videos were implemented in a remote biomolecular engineering laboratory course. 180° VR videos of lab procedures were recorded and viewed by students using a Google Cardboard headset and their smartphones. After viewing all the VR lab videos, students were given a survey to report their experiences. The survey contained questions used to measure …

Sequential Illumination In A Tomographic Microendoscopic Probe For Imaging Tumor Microvasculature, Zachariah Neumeier

Biomedical Engineering Undergraduate Honors Theses

Knowledge of colorectal cancer biology is improving how we approach cancer treatment. Specifically, the tumor microenvironment and abnormal angiogenesis are of particular interest. Optical methods are a prime candidate for research of the tumor microenvironment due to their ability to quantitively assess tissue structure and perfusion in real time. Particularly, the “transport scattering regime” has been identified as a method of obtaining high-resolution images and reflectance spectroscopy data; this light scattering regime has been demonstrated compatible with endoscopic imaging systems. In this study, a proof-of-concept optical imaging system is presented, capable of resolving absorbers within scattering turbid media using a …

(Re)Fashioning Gender: Dress As Embodied Feminist Critique In Modernist Women’S Writing, Lauren Elizabeth Sperandio Phelps

English Dissertations - Archive

In this dissertation I examine early twentieth century women writers’ use of fashion as a mode of critiquing gender, race, and class oppression. Through close reading of the novels of Nella Larsen, Edith Wharton, Anzia Yezierska, Radclyffe Hall, and Virginia Woolf, I explore how fashion in these works functions to emphasize elements of identity formation and conditioning. I argue that by taking up fashion as a tool for critique women writers were able to simultaneously challenge oppressive social structures as well as appraisals of women as unfit for serious analysis or literature. If fashion is considered trivial, then using it …

A Teacher Goes To School: A Retrospective Analysis Of Pedagogical Insights On Secondary Writing Instruction, Karen Stelter Otto

English Dissertations - Archive

High school English teachers are familiar with current masters in the field (Kittle, Burke, Gallagher), but are not familiar with the scholarly literature on the topics of composition. Although helpful, these professional development books offer examples of quality lessons for helping students become stronger and more confident writers, but rarely do these books address the research that supports these findings. This dissertation is a retrospective study and analysis of the pedagogical insights on secondary writing instruction that I learned through my doctoral journey. I examine five areas of interest: peer review, teacher review, service-learning, grammar, and grading. I analyze the …

Making Selves As We Make Scholars: The Many Uses Of Life Writing In College English, Lindsey Rose Gendke

English Dissertations - Archive

This dissertation addresses the perennial question, for both new and more seasoned English professors, “What should we teach in English?” In composition, “What types of writing should we teach?” And in literature, “what literature, and which authors, should we read?” In the current age where teachers are concerned with promoting diversity, equity, and inclusion, perhaps these questions are more relevant than ever. Thus, employing Wayne Booth’s rhetorical stance as my theoretical frame, I inquire 1) what are the most pressing needs of traditional-age college students, and 2) what theories and teaching strategies uncovered in recent English studies have the potential …

Job Satisfaction Through The Lens Of Turnover Intentions And Burnout For Academic Faculty, Amrita Tharappel Thomas

Business Administration Dissertations - Archive

ABSTRACT: A recent advice article published by The Chronicle of Higher Education addressed how Tenure and Tenure-Track faculty members are leaving their academic positions at college and universities. Education underwent tremendous change due to the COVID-19 Pandemic as faculty had to transition from in-person lectures and laboratory classes to teaching all classes and lectures in a virtual format and then a hybrid between in-person and online. The changes caused by the Pandemic came swiftly but did not come with ease. My dissertation examines Job Satisfaction through the lens of Turnover Intentions and Burnout for Academic Faculty. I surveyed faculty around …

Mapping Of Electroencephalogram (Eeg) Responses To Newsvendor Decision Model And Cerebral Hemodynamic Responses To Transcranial Photobiomodulation (Tpbm) In Humans, Cong Dung Nghi Truong

Bioengineering Dissertations - Archive

Decision-making is one of the most critical activities of human beings. Various studies have investigated the brain responses to a variety of decision tasks by deploying the EEG data. The first aim of my dissertation was to investigate the neurocognitive mechanisms and correlations across multiple subjects when people make risky economic decisions. A decision-making task was designed based on the newsvendor problem (NP) with two scenarios: low-profit margins (LM) as the more challenging scenario and high-profit margins (HM) as the less difficult one. The EEG signals were acquired from healthy humans while subjects were performing the task. The Correlated Component …

Engineering Enzymatic Pathways In The Gut Microbiome To Control Dietary Isoflavone Metabolism, Lenaiya Allisen Kydd

Bioengineering Dissertations - Archive

ABSTRACT: Observing how plasmids persist within the gut can help us understand how newly introduced genes are transmitted within the gut microbiome. I sought to determine the persistence of genetic constructs introduced to the murine gut and then develop our own genetic system to be delivered to the gut to engineer the microbiome in its ability to convert certain dietary isoflavones. In my initial experiments, mice were given bacteria containing a genetically engineered plasmid and were examined for the persistence of the plasmid in the gut. I found long-term persistence of the plasmid in the gut for up to 2 …

Novel Nanocomposites For The Treatment Of Lung Infections, Uday Kumar Chintapula

Bioengineering Dissertations - Archive

Lung infections, especially lower respiratory tract infections and their associated pneumonias, are one of the leading causes of death, accounting for more than 4 million fatalities every year worldwide. Bacterial pathogens are involved in many lower respiratory tract infections including emerging antibiotic resistant respiratory pathogens such as methicillin-resistant staphylococcus aureus (MRSA). Current interventions for MRSA lung infections include systemic antibiotic treatments for an extended period leading to various side effects such as acute kidney injury, nephrotoxicity, and so on. To overcome these limitations, the goal of this dissertation research is to develop a drug delivery system, which includes pathogen-specific drug-loaded …

Parental Involvement And Satisfaction: A Comparative Study Of High-School Charter Schools And Traditional Public Schools, Nicholas Thompson-Davis

Educational Leadership & Policy Studies Dissertations - Archive

The purpose of this study is to examine parents’ levels of satisfaction with school choice by comparing charter and traditional public schools at the secondary level. The main assumption of the study is that parental satisfaction with school choice is related to parental involvement with children’s education and their views of school-home communication. The study is guided by Bourdieu’s theory of capital to interpret parental involvement efforts and their assessment of school-home communication as ways to acquire social capital for themselves and their children. Epstein’s framework of parental involvement allows for operationalizing the concept with respect to school and out-of-school …

The Medicalization Of Communication: An Analysis Of The Policies And Educational Practices Surrounding Patient And Physician Interaction, Ramona Jewelmaria Dorough

Educational Leadership & Policy Studies Dissertations - Archive

This dissertation explores the medicalization domains through three studies to assert that communication exists in all facets of the patient- physician relationship. The first study is a policy analysis that examines the institutional domain through policies and educational standards created in the medical community that dictate the importance of communication. The second study examines medical students' level of clinical empathy using the Jefferson Scales of Empathy. The second study ties to the conceptual domain of the medicalization of communication, showing the creation of terminology (i.e., clinical empathy, clinical communication) helps uniquely identify and measure empathy through communication. The third study …

Development Of Algorithms To Analyze Electrogastrography (Egg) For Neonatal Gastrointestinal Development And Electroencephalography (Eeg) For Effects Of Led-Based Pre-Frontal Light Stimulation, Akhil Mahendra M Chaudhari

Bioengineering Dissertations - Archive

Algorithm development, and biological signal processing are the key components for new applications of successful medical diagnosis that can provide physiological and functional information to better understand human condition for either patients with certain diseases or healthy human beings. Neuroimaging tools, such as functional near infrared spectroscopy (fNIRS), and electrogastrography (EGG) have been used to investigate the gut maturity in diseased and healthy state; and electroencephalogram (EEG) have been used to investigate brain functions in response to neuromodulated or task-based interventions. Accordingly, my dissertation focused on algorithm development and signal processing for two major topics: (1) to outline EGG response …

Hydrodynamic Forces On Stream-Crossing Bridges – Consideration Of Flow Parameters, Bridge Geometry, And Debris, Shah Md Imran Kabir

Civil Engineering Dissertations - Archive

ABSTRACT: This thesis examines the interaction of flood flow with bridge superstructures by considering the effects of the flow parameters, bridge geometry, debris, and bridge substructures. The hydrodynamic forces are expressed by using force and moment coefficient charts to portray the effect of bridge submersion, bridge position with respect to the channel bed, flood velocity, and bridge geometry. Of the 580,000 bridges in the United States, 83% span streams and rivers that may subject them to floods and debris loads. Although bridges are designed to withstand hydrodynamic forces, the most frequent causes of failure are attributed to hydraulic events, including …

Shifting Burdens At The Fringe, Vijay Raghavan

Faculty Scholarship

No abstract provided.

Performance Of Density Estimators In Additive Measurement Error Models Based On Right Censored Data, Hrishabh Khakurel

Mathematics Dissertations - Archive

In the deconvolution problem for right censored data, one is interested in estimating the density of a contaminated variable X when X satisfies Z= X+ E, where E is a measurement error with a known distribution, and the observable variable Z is right-censored. Zhu, Sun, Khakurel, and Wang (2021) applied the Inverse Probability of Censoring Weighted Average method and derived the estimators of the unknown density of X. In this study, we evaluate the performance of the density estimators both in theory and in simulation. We derive the theoretical upper bounds for Mean Squared Error (MSE) of the estimator and …

Pandemic Pedagogy: A Case Study Of Commenting Practices In A Pandemic, Nicholas G. Nicklin

English Theses - Archive

This thesis reviews best practices for commenting on student submission and reports the findings of a case study from the 2020 spring semester.

Tiger Lilly, Linnea Sardina

The Prairie Light Review

No abstract provided.