Digital Commons Network^™

Transfer Learning Across Domains And Sensing Modalities, Chowdhury Sadman Jahan

Theses

Transfer learning facilitates the training of a deep learning (DL) model with limited or no labeled data, by initializing the network parameters using a similar model already trained on a different but related dataset or task. This dissertation examines two special cases of transfer learning for image classification tasks: cross-modal supervised learning, and cross-domain unsupervised adaptation. This dissertation proposes to apply cross-modal transfer learning to guide the training process of a DL model on Synthetic Aperture Radar (SAR) images via knowledge distillation from a DL model trained on corresponding electro-optical (EO) images. Furthermore, this approach explores class-balanced sampling strategies and …

Novel Methods For Modeling And Treating Biofilm Infections, Emily Lazarus

Theses

Biofilms are responsible for the development of chronic infections, which are 10-1000 times more resistant to antimicrobial agents than two-dimensional (2D) planktonic culture. Traditionally, 2D planktonic cultures are used to study efficacy of antimicrobial treatments but 2D cultures have several shortcomings such as increased sensitivity to treatments, lack of complexity of the three-dimensional (3D) environment, limited host defense mechanisms, and lack the structural thickness of natural biofilms. Biofilm-related infections play a critical role in the delayed healing process of chronic skin wounds, and while treatments for chronic skin wounds exist, including negative pressure wound healing (NPWT), biofilm infections still prevail. …

Low Power Logic Locking Using Design Space Modeling To Achieve System-Wide Security, Long Lam

Theses

Rising design complexity and smaller technology nodes are escalating fabrication costs, prompting design houses to outsource to untrusted external facilities, which raises trust and privacy concerns. These concerns stem from the risk of security breaches like IP piracy, reverse engineering, and hardware trojans. The critical need to protect design intellectual property prompted the development of logic locking, a combinational hardware security technique that corrupts the functionality of a design without the correct secret key. However, the effectiveness of logic locking varies substantially based on how and where it is implemented within a system, including the specific technique families selected, the …

Hierarchical Parameterization In Spherical Domains For Deforming Feature Alignment, Lizhou Cao

Theses

The growing interest in immersive technology and lifelike virtual worlds has underscored the importance of creating automated methods to generate characters with a wide range of morphological variations. Traditional methods have either depended heavily on manual effort or simplified the challenge by only addressing static meshes or basic deformation transfers, without supporting dynamic shape morphing with deformation. In this work, we introduce a novel method that leverages cross-parameterization to semi-automate the creation of characters that are not only morphologically varied but also capable of synthesized deformation and animations. The key innovation of our work lies in the parameterization of deforming …

A Comparison Of Instructional Methods For Teaching Apa Skills, Zachary Hooten

Theses

Writing is highly important for college students, and they will need to conform to the formatting of the writing styles used in their classes. One style required of many students is the American Psychological Association (APA). Students often make errors when formatting references using APA Style. Although various instructional strategies have been used to teach these skills, some methods take a long time to achieve minimal increases or are cumbersome to implement in some learning environments. Behavioral skills training (BST) is an empirically supported method for teaching skills that involves providing the learner with written and verbal instructions, modeling, practice …

Documenting The Southern Range Terminus Of The Wood Frog (Lithobates Sylvaticus) In North America, Christian Braswell

Theses

The Wood Frog (Lithobates sylvaticus) holds a remarkable position in North American amphibian biology, with its range extending from the Arctic Circle down to the near sub-tropical southeastern United States. This thesis presents a novel quantitative polymerase chain reaction analysis (qPCR) primer specific to L. sylvaticus and a survey effort regarding the southernmost distribution and detection of this species in Alabama through the application of environmental DNA (eDNA) sampling techniques. By investigating historical data and employing advanced genetic methodologies, this research provides insights into the contemporary status and distribution of the Wood Frog. This research is important to …

Detailing The Effects Of Cannabidiol On Exosome Release In Ewing’S Sarcoma, Bennett Hasley

Theses

Ewing’s sarcoma (ES) is a highly aggressive pediatric cancer found within bone that carries a low five-year survival rate within its patients. This is due, in part, to the cancer’s high malignancy properties as well as the development of resistance to the chemotherapies used to combat this cancer. This project aims to determine if cannabidiol (CBD) has an effect on either exosome release or the protein, signal transducer and activator of transcription 3 (STAT3) within ES cells. Exosomes are vesicles that can carry proteins and other signaling molecules which are released by the cell and allow for cell-to-cell communication. Within …

Integrating Artificial Intelligence For Automated Storytelling In Turn-Based Strategy Games, Timothy Ripper

Theses

This project is inspired by turn-based strategy games, Final Fantasy Tactics, X-Com 2, and modern turn-based strategy games. This project is structured around the use of artificial intelligence for storytelling within strategy games. The focus of this project utilizes artificial intelligence in creating a quest generation system for storytelling. The resulting quest system creates new quests dynamically after communicating with an artificial intelligence allowing players to potentially experience an ever-expanding story from quests

Menossance ™: Post-Maternity Strategies, Elizabeth Pursell

Theses

Inside the private lives of middle-aged women, significant suffering unfolds in silence. The universal “change” is shrouded in shame. The obstacles particular to women during midlife include physical, emotional, financial, professional, familial, and societal. Many suffer through the indignities of menopause while adjusting to an “empty-nest” (Gullette, 2002, p.554). Droves of middle-aged women are also part of the so-called “Sandwich Generation” (Hong, 2002, p. 358). They are sandwiched between the responsibilities of their children and their elders, all while tenuously balancing careers and menopause. As described in Umma’s Table, “The sandwichgeneration [is] impossibly caught between multigenerational responsibilities, navigating labyrinthine sociomedical …

Catherine Opie And Sally Mann’S Exploration Of Motherhood And The Domestic Sphere, Krista Rose Frohling

Theses

This paper analyzes the work of Catherine Opie and Sally Mann, white, contemporary artist mothers. Using the narrative and auto-ethnographic research methodologies and applying feminist theory, queer theory, and mother studies, this paper will investigate how contemporary photography is confronted with the work of artist mothers that utilize their mothering roles and status of mothers as a muse into their photographic work. The concept of truth in photography is explored in its role of playing into the visualization of the discomforts of representation within the work of the unseen mother in Sally Mann’s Immediate Family series and dismantling of stereotyped …

Investigating Essential Oils, Natural Compounds, And Marine Based Rumen Buffers As Feed Additives For Enteric Methane Mitigation And Improved Ruminant Productivity, Ian Hodge

Theses

Ruminant dietary additives were investigated for enteric methane (CH4) mitigation and their effects on rumen fermentation characteristics during both in vitro and in vivo supplementation trials. A meta-analysis of the peer reviewed published literature was initially performed to establish the state of the art in the field and allowed benchmarking of the performance of the dietary additives screened during the project. Investigated feed additives included garlic oil (GO), nitrate, Ascophyllum nodosum (AN), Asparagopsis (ASP), Lactobacillus plantarum (LAB), calcareous marine algae (CMA), chitosan (CHI), essential oils (EO) and 3-nitrooxypropanol (3-NOP). The development of an in vitro screening method to evaluate the …

Hydrologic Impact Index For The Pinhoti Hiking Trail, Allie Field

Theses

Author note: The author of this thesis is also published under the name Allie Bobo.

This study aimed to identify flood-prone areas along the Pinhoti Trail and Chinnabee Silent Trail in the Talladega National Forest. Using the Hydrology Flood Index layer that was created using several essential data layers, the research aimed to provide campers, hikers, nature enthusiasts, and trail maintenance teams with information about areas at a higher risk of flash flooding. The Hydrology Flood Index layer rates the risk of flooding on a scale of 1 to 4, with level 1 indicating a low risk of flooding and …

Use Of Force In Policing: Do Female Police Officers Use Unjustifiable Force As Often As Male Officers?, Carma Dobson

Theses

Use of force (UOF) is a common practice in policing. My study focuses on the disposition of the use of unjustifiable force in policing. Utilization of pre-existing data with 5,771 use of force incidents from the New Orleans, Louisiana police department in the years of 2016-2021 produces an answer to the research question: Do female police officers use unjustifiable force as often as male officers? The chi-square test of independence results in my study indicates that there is no statistical difference between males and females.

A Comparison Of The Relative Magnitude Of Combinations Of Relapse Types In Rats, Mary Bridges

Theses

Applied behavior analysis uses scientifically derived methods to create treatments for socially significant behaviors. A threat to these successful treatments is the recurrence of previously reduced behavior (i.e., relapse). Relapse can be categorized into several types depending on the variables that induce relapse. Three types prevalent in clinical settings are reinstatement (i.e., induced by re-exposure to reinforcers or stimuli paired with the target behavior), renewal (i.e., induced by changes in context), and resurgence (i.e., induced by worsening of alternative reinforcement). Because relapse is harmful to long-term treatment maintenance, prior research has developed and tested mitigation strategies for these relapse types, …

A Comparative Study Of A Non-Small Cell Lung Cancer Associated Egfr Missense Variant Of Uncertain Significance, Vanessa Mejia

Theses

Non-small cell lung cancer (NSCLC) is a form of lung cancer that can be driven by heightened activity of epidermal growth factor receptor encoded by the EGFR gene. Genetic variants in EGFR have been identified that lead to abnormal cell growth and tumorigenesis. The objectives of this study was to 1) determine if an EGFR variant of uncertain significance (VUS) associated with NSCLC is potentially damaging based on evaluation of the ortholog let-23 in the model organism, C. elegans, and 2) identify conserved missense VUS loci associated with NSCLC. Through ClinVar, the EGFR VUS c.845G>C(p.Gly282Ala) was identified in …

Paul Celan And The Processes Of Survival In Post-Shoah Jewish Writing, Ari Savage

Theses

The following is a study of the poetry of Paul Celan as a representation of psychological and social processes present in the written works of Shoah survivors. It begins with an analysis of the place of writing in Jewish culture, then identifies three primary processes which operate in sequence: alienation, individuation, and integration. By examining Paul Celan’s highly personal and autobiographical texts in the context of his life experience as a Shoah survivor it is possible to discern the social and psychological forces at work which compel survivors to express their traumas in written form, and to gain a better …

“Jí'Dë'Ö:H” Means Bird: Decolonizing The Modern Birding Experience Through The Inclusion Of Narratives From Indigenous Communities Of Western New York, Angelique M. Armstrong

Theses

This thesis explores the efficacy of combining Indigenous culture narratives with elements of traditional Euro-American field guides to create an alternative form of birding1 field guide. The desired outcome is to create a more inclusive and well-rounded birding experience that celebrates the wisdom and worldview of the people who inhabited the New World before its European “discovery.” The intention is to approach birding from the standpoint of the past and present Caretakers of the land; the members of Indigenous communities whose ancestors lived (and still live) in harmony with the land and living creatures (including birds). It seeks to answer …

Predictive Analytics Of Road Traffic Incidents, A Machine Learning Approach, Maryam Essa Jaji

Theses

Traffic accidents rank among the world's most serious concerns due to the high number of deaths, injuries, and fatalities as well as the enormous financial losses they cause every year. Road travel is a necessary component of modern civilization, but because of the rise in traffic accidents, it costs the world economy billions of dollars and over a million deaths annually. Road accidents can be caused by a variety of elements. It can be possible to take action to lessen the severity and extent of the effects if these elements are better recognized and predicted. The goal of this project …

Learning From Disagreement In Human-Annotated Datasets, Tharindu Cyril Weerasooriya

Theses

Artificial intelligence (AI) systems frequently need to learn from human decision makers, which aids in scaling systems for mass use. We see this in automated financial decisions, manufacturing processes, self- driving cars, and content moderation on social networks. These systems are built on human values and trained to mimic human decision-making through human annotation. However, different groups of human annotators, including domain experts, annotate content differently, leading to disagreements. Some practitioners treat dissenting opinions as “label noise”. A common approach to dealing with disagreement is to consider a majority vote, which effectively conceals the disagreements from the trained model. Although …

Improving Adaptation Of Deep Learning With Inductive Bias, Xiajun Jiang

Theses

Human intelligence is strong at adapting to a small number of observations, partially because of the human ability to 1) use given knowledge and 2) distill knowledge from related but different data to guide learning for future tasks, where such ability is the inductive bias during learning. Deep learning shows a promising solution to artificial intelligence. However, generalizing or adapting deep learning models to heterogeneous tasks remains an open question. Existing data-driven models often ignore prior knowledge about the underlying problems of interest, or have limitations in incorporating complex knowledge into neural networks. The one-size-fit-all formula assumes the training and …

An Intelligent Framework For Efficiently Utilizing Distributed Heterogeneous Resources To Improve Hpc Application Performance, Moiz Arif

Theses

High-Performance Computing (HPC) workloads are being widely used to solve complex problems in scientific applications from diverse domains, such as weather forecasting, medical diagnostics, and fluid dynamics simulation. HPC workloads are traditionally executed on baremetal HPC systems, containers, functions, or as workflows or ensembles. These workloads consume a large amount of data and have large memory and storage requirements that typically exceed the limited amount of main memory and storage available on an HPC system. HPC workloads such as deep learning (DL) are executed on platforms such as TensorFlow or PyTorch, are oblivious to the availability and performance profiles of …

Predictive Maintenance On Drone Batteries Failure Using Machine Learning, Khalifa Jamal Almannaei

Theses

Predictive maintenance, powered by machine learning models, presents an innovative solution to address the limitations of drone battery maintenance. The core aim of this study is to design and implement machine learning models suitable for drone batteries, predict battery health, and prescribe maintenance actions. The ultimate scope is to improve operational reliability, safety, and cost-efficiency for drone applications while advancing sustainability and efficiency within the drone industry. By integrating predictive maintenance, the management of drone batteries can be optimized, leading to more reliable, and cost-effective drone operations, the proposal will seek to identify different factors that impacts the health and …

Optimizing V2v Energy Exchange Using Ai, Marwa Alghawi

Theses

A key factor in promoting sustainable economies, industries, and society is the use of electric vehicles (EVs). They are an important step toward a greener future since they reduce greenhouse gas emissions, improve air quality, and encourage energy independence. The demand for charging stations (CSs) will undoubtedly rise as the global EV market continues to grow over the next few decades, requiring significant investments from both public and private players. By creating a cutting-edge AI model, this work tackles the crucial problems of EVs range prediction and charging optimization decisions. The contributions are summarized as the below: 1. Developed AI …

Optimizing Supply Chain Dynamics Using Machine Learning, Mohammad Zubin Siddiqui

Theses

Supply chains face many challenges in today’s business environment. This paper examines how advanced analytics can be used to improve supply chain efficiency and resilience with a particular focus on demand forecasting and late delivery analysis. The thesis focuses on two areas, which are forecasting demand and analyzing late deliveries. With the help of data-driven models for forecasting demand and pinpointing reasons behind delayed shipments, establishments can take appropriate measures that will reduce risks and enhance operational efficiency. A complete analytic framework is suggested that integrates sophisticated analytics into supply chain management so that organizations can optimize all their operations …

Robust Machine Learning Under Vulnerable Cyberinfrastructure And Varying Data Quality, Sergei Chuprov

Theses

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated with Network (MLIN) systems. We consider MLIN as an integration of three major components and interrelations between them: data sources, network facilities, and ML application. In contrast to the conventional approaches that focus on each separate component, we concentrate on their interrelationships, and consider them from the system integration perspective. We formulate our primary goal as to develop methods and tools aimed at assuring ML application performance towards Data Quality (DQ) variation in MLIN through improving ML application robustness. We examine the prior work on ML robustness …

Adjoining Gates: Mitigating Optical Side-Channel Attacks On Integrated Circuits Through Security-Aware Placement, Thomas Wojtal

Theses

With the rise of outsourcing in Integrated Circuit (IC) fabrication processes, vulnerabilities in chip security have become a growing concern. These vulnerabilities can lead to attacks such as reverse-engineering, piracy, overproduction, and malicious modification of high-value intellectual property (IP) in a design. In light of this, a method called logic locking has been developed to protect chips prior to end-user shipment. Logic locking incorporates additional logic gates in a design to conceal a chip’s functionality during manufacture and test processes. However, recent developments have shown logic locking to be vulnerable to optical side-channel attacks. In this work, we explore these …

Organic-Based Nutrient Solutions For Sustainable Vegetable Production In A Zero -Runoff Soilless Growing System, Maitha Salem Almheiri

Theses

As the adoption of soilless production systems escalates to meet the rising demand for safe and healthy fresh produce, the growing environmental awareness and consumer’s preference for sustainable production systems are stimulating the reduction of synthetic inputs. A greenhouse study using an auto-pot zero-runoff hydroponic system and lettuce (Lactuca sativa L.) as a model vegetable crop was conducted to evaluate the potential of substituting synthetic fertilizer Nutrient Solutions (NS) with organic-based NS. The use of organic NS resulted in lettuce plants with fewer leaves and a smaller leaf area, plant height, stem diameter, and fresh biomass compared to those …

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Theses

The Role of Social Media in Shaping Political Awareness Among a Sample of Current and Graduate University Students in the United Arab Emiratesd

This study examines the impact of social media platforms on the political awareness among a sample of current and graduate university students in the UAE, including both current students and graduates. It aims to recognize the degree of political awareness of young people and the motivations for them to turn to social media platforms as a way of expressing their political views, as opposed to other methods, and the extent to which political beliefs spread across social …

Locally Tailored Knowledge, Attitude And Practice Towards Diet Sustainability Questionnaire: Validation Among Uaeu Adults, Asma Bahaaldeen Numan

Theses

Food production is a major contributor to global environmental change and sustainability. Sustainable diets can be defined as “diets with low environmental impacts which contribute to food and nutrition security and healthy life for present and future generations”. The United Arab Emirates (UAE) aims to enhance its food security to meet the current local demand and future needs of an increasing population. Before determining a sustainable diet pattern for the UAE population, it is foremost more important to understand the perception of sustainable diet production and consumption. A thorough comprehension of the knowledge, attitudes, and practices of the United Arab …

Enhancing Cybersecurity Awareness In The United Arab Emirates: An Assessment Of Current Practices And The Development Of An Ai-Enhanced Mobile Application, Meera Humaid Alalawi

Theses

In today's interconnected world, individuals, private corporations, public institutions, and governments face increasingly sophisticated cyber threats and attacks, highlighting the critical need for individuals and organizations to understand cybersecurity comprehensively. Cyberattacks have affected many countries and infrastructures in different sectors worldwide, including the United Arab Emirates (UAE), which has become a main target for cybercrime due to its booming economy and tourism. The UAE considers cybersecurity an increasingly critical issue in our digital world, and increasing cybersecurity awareness among residents is essential to protect themselves and their organizations from cyberattacks. The primary objectives of this study are to identify key …