Digital Commons Network^™

Comparative Evaluation Of Five Bacterial Strains For The Fermentation Of Camel Milk, Sifatun Nesa Ali

Theses

In this study, the comparative fermentation performance of lactic acid bacteria Streptococcus thermophilus, Lactobacillus delbrueckii subsp. bulgaricus, Lb. helveticus, Lb. casei, and Lactiplantibacillus plantarum in Camel Milk (CM) and Bovine Milk (BM) was investigated. Fermentations were carried out at 42°C for 48 hours, and was monitored through bacterial growth, titratable acidity, pH evolution, proteolytic activity, microstructural properties, and rheological characteristics. Although comparable bacterial viability was observed in CM and BM, acidification kinetics varied significantly between CM and BM (p < 0.05). Proteolysis was significantly higher in fermented CM than in BM (p < 0.001), with consistently greater o-Phthalaldehyde Assay (OPA) values in CM across all strains during fermentation (p < 0.001). Scanning electron microscopy revealed more porous, loose protein matrices in fermented CM than in BM, which supports the rheological results showing weaker gel networks and lower rheological strength in fermented CM. Among the tested bacteria, Lb. casei demonstrated superior adaptability, enhanced viability, balanced acidification, and favorable rheological properties in both milks. Overall, the results of this thesis demonstrate strain-specific fermentation responses and support the possible suitability of different starter cultures for improving the technological performance of fermented camel milk products.

Beyond Anomaly Detection: Classifying Attacker Automation Level From Ssh Honeypot Behavioral Signatures, Ashley Alt

Theses

The proliferation of AI-assisted offensive tools has introduced a new category of cyber attacker that combines the speed of automation with the adaptive reasoning previously associated only with skilled human operators. Despite the richness of behavioral data captured by SSH honeypots, existing analyses treat interaction logs primarily as evidence of malicious activity rather than as a dataset capable of distinguishing between attacker types. This thesis investigates whether human-driven, traditionally automated, and AI-assisted attackers produce distinguishable behavioral signatures within SSH honeypot interactions, and whether machine learning techniques can reliably classify attacker behavior from session-level features. A controlled experimental architecture was developed …

Cognitive Digital Twin Operating System Forwayfinding In Vertical Smart Cities, Basil Adel Ismail Basbous

Theses

Vertically complex urban environments impose elevated spatial cognitive load on pedestrians, a  demand that static wayfinding infrastructure is structurally incapable of addressing. Smart cities  currently lack a formal cognitive navigation operating layer for managing pedestrian movement in  multi-level urban systems. This research introduces and evaluates a Cognitive Digital Twin  Operating System (Cognitive OS) — a city-scale adaptive navigation infrastructure integrating  Digital Twin environmental modelling, AI-driven route optimisation, real-time crowd intelligence,  and spatially embedded adaptive guidance to predict, manage, and reduce spatial cognitive load in  vertically complex environments. The study deploys AI-mediated human behavioral persona simulation as an independent methodological  contribution. …

Analysis Of A Coaxial Transmission Line Filled With An Orthorhombic Dielectric-Magnetic Medium, Fathima Manikunnath Abdul Akbar

Theses

Coaxial transmission lines are fundamental means for Transverse Electromagnetic (TEM) wave propagation in RF, microwave and high-speed electronic systems. The study of transmission lines is often familiar when they are filled with isotropic materials; however modern engineered direction dependent materials reshape field distributions. In this thesis, we consider a coaxial transmission line of an inner radius and outer radius b filled with an orthorhombic dielectric-magnetic material, which is described by two anisotropy parameters αx and αy. The potential and field distributions are studied in relation to the ratio b/a as well as the anisotropy parameters αx and αy. Due to …

Beyond The Nude: Reimagining Feminist Agency In The Art Of Suzanne Valadon, Sofia Harris

Theses

This thesis examines the work of Suzanne Valadon (1865–1938) through a feminist art historical lens, challenging long-standing interpretations of her female nudes as inherently resistant to the conventions of Western art. Structured as a three-part lecture series, the project situates Valadon within a visual tradition in which women have been overwhelmingly represented by men, arguing that her engagement with the nude remains embedded in the same systems of objectification it is often said to subvert. Lecture One establishes the historical framework by tracing enduring archetypes of femininity, demonstrating how representations of women have functioned as projections of gendered power. Lecture …

Defining Her2 Associated Proteogenomic Features In Breast Cancer And Extending To Gynecologic Cancers, Maya Anand

Theses

HER2 amplification is a well-established driver of breast cancer and serves as the primary basis for clinical classification and treatment selection. However, this framework assumes that HER2-driven tumor biology is defined solely by ERBB2 amplification or overexpression. The goal of this study was to evaluate whether HER2-associated signaling is represented as a pathway-level activation state and whether this framework could help identify tumors with clinically relevant HER2 activity beyond current routine classification methods. HER2-associated transcriptional programs were identified across three independent breast cancer cohorts, resulting in conserved gene sets (P76 and P25). Amplification-independent HER2 activation was assessed using the HER2 …

Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori

Theses

Urban traffic congestion imposes significant economic, environmental, and social costs on rapidly growing cities worldwide. This research investigates how predictive analytics and machine  learning can be leveraged to classify and forecast traffic congestion severity in real time,  enabling data-driven decision-making for transportation planning, signal optimization, and  congestion management. A real-world traffic monitoring dataset comprising 5,952 observations collected over two months via  computer vision sensors at an urban intersection was analysed under the CRISP-DM frame- work. The  dataset records counts of four vehicle classes including cars, bikes, buses, and trucks at  15-minute intervals, alongside temporal variables such as time of day, …

Sampling And Counting Graph Structures With Triangle Motifs, Sherry Robinson

Theses

Understanding the structure of real-world networks often relies on identifying significant (i.e., occurring significantly more frequently than random) subgraph patterns, or motifs, such as triangles. To assess their significance, null models generate random samples from a constrained distribution of graphs, preserving selected properties while randomizing others. These models may either generate random graphs or sample structures from a fixed input graph. This thesis focuses on the latter, specifically the problem of sampling and counting graph structures that incorporate triangle motifs. While efficient algorithms exist for sampling classical structures such as matchings, extending these methods to higher-order motifs remains an important …

In-Context Retrieval For Molecules And Chemical Synthesis Pathways, Abhisek Dey

Theses

Contrastive learning methods require well-defined positive pairs, limiting their applicability to domains where complete, high-fidelity pairings are available. In practice, large-scale scientific corpora --including patents, publications, and web-scale data -- contain vast quantities of contextually relevant but incompletely paired samples that are discarded under standard training paradigms. In this work, we demonstrate that hard negative mining can be leveraged to construct pseudo-positive supervision signals from unpaired or partially paired data, enabling contrastive learning to exploit the full breadth of available corpora without sacrificing representational quality. Using a large-scale chemical drug patent corpus as a testbed, we train a cross-modal contrastive …

Nlp Crowdsourcing For Predominantly Oral Languages: The Case Of Bambara, Allahsera Auguste Tapo

Theses

Predominantly oral languages (POLs) face a significant "digital divide," as they are often excluded from the benefits of modern natural language processing (NLP) technologies, due to a lack of extensive, readily available machine learning (ML) datasets. We investigate methods to overcome this data scarcity for Bambara, a Manding language, spoken primarily in Mali, with a rich oral tradition but limited digital presence.     The research leverages crowdsourcing and community engagement to build high-quality ML ready dataset resources. Key contributions include methods for automatic speech recognition (ASR) and machine translation (MT) dataset collection and curation and for educational resource creation.      Our findings …

Alternative Color Mode Design: Supporting Mobile App Creators With Evidence-Based Guidelines, Sarah Andrew

Theses

Alternative color modes, such as light, dark, dim, and high contrast modes, in mobile apps can improve accessibility for people with vision impairments and usability for people without vision impairments across situational contexts. However, current mobile apps exhibit inconsistent color implementations for UI elements (e.g., background, text, buttons, images, and non-selectable icons), leaving users with limited accessible options. My dissertation addresses a central question in human-computer interaction and accessibility: How can mobile app designers be supported to implement alternative color modes that meet the accessibility and usability needs of people with and without vision impairments? Through an eight-study mixed-methods investigation, …

Engineering Human Microphysiological Models To Investigate Bacterial Extracellular Vesicle–Driven Endothelial And Blood–Brain Barrier Dysfunction, Louis P. Widom

Theses

Pathogenic bacterial extracellular vesicles (BEVs) are nanoscale particles derived from bacteria that contain pro-inflammatory cargo. During bacterial infections, BEVs provoke the host inflammatory response and may cause widespread damage. Furthermore, antibiotic treatment can boost BEV production and thereby increase the number of toxic signals traveling through the circulatory system. This is especially dangerous in brain blood vessels since evidence suggests that BEVs may destabilize the protective blood–brain barrier (BBB), resulting in neuroinflammation associated with cognitive decline and development of neurological disorders. Our understanding of BEV interactions with the host remains limited, necessitating the development of in vitro models to better …

Inflection Points In Academic Career Trajectories: Statistical Modeling And Interactive Visualization, Aicha Malouche

Theses

This thesis examines the temporal structure of academic career trajectories, with a particular focus on identifying non-linear patterns of research productivity and moments of maximum acceleration in scientific impact. Situated within the broader context of bibliometric evaluation, the study responds to long-standing limitations of aggregate and linear career models that obscure heterogeneity across disciplines and national research systems. Drawing on theories of cumulative advantage, life-cycle productivity, and structural stratification, the research seeks to clarify how and when elite researchers experience peak growth in impact over the course of their careers. The study is guided by four research questions: (1) when …

Microplastics In St. John, United States Virgin Islands Sediments: Methodological Approaches And Variability Of Microplastics Concentrations And Accumulation Rates, Henry B. Arbaugh, Sarah C. Gray, Dimitri Deheyn

Theses

Sediment samples were collected from a near shore and reef site in Coral Bay, St. John, United States Virgin Islands (USVI) from 2007-2016, using tube sediment traps. These samples provide an opportunity to study microplastics (MPs) in an area where no previous MP studies have been performed. Most sedimentary MP studies utilize benthic samples which can only measure MP concentrations (#MP/g or #MP/mL sediment), while sediment traps can provide MP accumulation rates (#MP/cm²/day) as a function of time. However, the methods used for extracting MPs from benthic samples have not been tested using sediment trap samples whose characteristics, …

Evaluating The Effectiveness Of Smart City & Iot Solutions In Improving Urban Sustainability, Mobility, And Quality Of Life In The Uae, Aisha Alnuaimi

Theses

The United Arab Emirates has an aim to develop smart cities incorporating advanced technologies such as the Internet of Things (IoT), to enhance urban sustainability, mobility, and improve citizens quality of life. However, based on the significant funds invested by the government, there exists an important gap within the government systems in measuring the effectiveness of such activities given the lack of data quantifying the benefits gained from such smart initiatives. To address this gap, this study delivers the benefits gained from smart initiatives by using a mixed-methods approach combining both quantitative and qualitative data. The research is based on …

Hexahive: Simulating Vulnerability Bounty Economies Through Game-Theoretic Models, Lucille Blain

Theses

Bug bounty programs encourage security researchers to responsibly disclose software vulnerabilities by offering financial rewards, recognition, and opportunities to build long-term relationships with organizations. However, vulnerability discovery also creates competing incentives. A researcher may report a vulnerability through an official program, exploit it for passive income, trade information with other actors, delay disclosure, or seek compensation through alternative markets. These decisions are shaped by the expected value of rewards, perceived fairness of company responses, reputation benefits, competition, and the risk of penalties. Because directly observing these choices in real-world bug bounty programs presents ethical, legal, and practical challenges, controlled environments …

Uae Traditional Folklore Through Modern Media And Its Educational Potential: The Case Of Freej, Shahad Imad Mostafa

Theses

This mixed‑methods study examined how the Emirati animated series Freej preserves traditional folklore through vernacular language, dialect, and idiomatic expressions, and evaluated its educational potential. Guided by four questions on folklore representation, dialect/idiom use, the role of the characters, and curricular applicability, the research combined content analysis of selected episodes, interviews coding and a survey of 100 Emirati participants; survey data were summarized with descriptive statistics to triangulate qualitative insights.

Findings indicated that audiences overwhelmingly perceived Freej as linguistically and culturally authentic: 95% rated the dialect as very/somewhat authentic, 94% said it reflects elders’ speech, and 89% felt the series …

The Influence Of Defendant Mental Illness Characteristics On Prosecutorial Decision Making, Claire Elise Martin

Theses

As most criminal cases are now resolved via plea-bargaining, research on legal decision making has extended beyond the jury to evaluate judges, defense attorneys, and prosecutors. Although legal actors are obliged to remain objective and dispassionate, extralegal factors regarding defendant characteristics (e.g., age, gender, race/ethnicity, socioeconomic class) can influence case outcomes. Extant research on the effect of defendant mental health status and defendant demeanor on sentencing outcomes in court hearings is limited. Therefore, the present experiment solicited 134 prosecutors in a vignette study designed to assess how extralegal characteristics, specifically those related to mental illness, may affect the punitiveness of …

Discovering The Genes And Molecular Mechanisms Involved In Increasing The Expression Of The Gad Regulon In Escherichia Coli Resistant To Macrolide Antibiotics, Lea V. Freeman

Theses

Various genes have been proposed to play a role in the action of indole, a bacterial hormone involved in biofilm and quorum sensing. Previous work found that E. coli strains carrying a macrolide-resistant mutation in the uL22 ribosomal protein reduce tna operon mRNA levels and, consequently, decrease indole production. This ribosomal mutation also increases expression of the gad regulon, a genetic unit involved in acid resistance at pH below 2. The gad regulon is involved in bacterial survival under environmental challenges, primarily regulating intracellular acid resistance, and its expression appears to depend on indole production. In this work, we work …

Mapping Cave Vulnerability And Priority Areas For Biospeleological Conservation, C. Lael Anderson

Theses

Alabama contains some of the highest levels of subterranean biodiversity in North America, yet no statewide assessment of cave vulnerability has previously been conducted. A spatially explicit vulnerability assessment was developed for Alabama caves using species occurrence records, landscape characteristics, anthropogenic threat data, and groundwater vulnerability metrics. Distribution maps were generated for cave- obligate and bat species, and vulnerability was assessed using human population, land- use, groundwater quality, groundwater quantity, and modified DRASTIK models. Results identified numerous single-site endemic species, regional biodiversity hotspots, and cave systems facing elevated anthropogenic threats. Conservation priority rankings highlighted species and caves of greatest management …

The Impacts Of Land Use Land Cover Change And Urbanization On Precipitation In The Kentucky–Ohio River Valley, Madison Wallner

Theses

This thesis evaluates how urban growth modifies warm-season rainfall and convection near Louisville, Cincinnati, and Evansville. From 1987–2024, rainfall increased at most stations, but MERRA-2 and statistical modeling show that regional ascent and moisture were the primary controls on seasonal precipitation. Radar analysis identified storm initiation as the dominant event type, especially near Louisville’s urban–river boundary and northeastern downwind corridor. Louisville’s developed land increased from 53.5% to 66.3%, while MODIS showed significant nighttime warming but little daytime warming. GOES cloud-frequency patterns were also locally enhanced near river, urban-edge, southeastern vegetated, and downwind areas. WRF sensitivity simulations showed that urban land …

Optimizing Marketing Campaigns To Maximize The Response Rate For A Supermarket Using Machine Learning Techniques, Alia Almansoori

Theses

Supermarkets must improve their marketing tactics at a time of changing consumer behavior and increasing competition in the retail industry. Engaging the wide and sophisticated consumer base of today's supermarkets is difficult using traditional methods. This proposal presents a data-driven approach using cutting-edge machine learning methods to enhance supermarket marketing strategies. The main goal is to increase the response rate of marketing initiatives, which will improve consumer engagement and ultimately increase revenue. Additional primary objectives are customer segmentation and targeting, predictive modeling, personalization, ongoing performance monitoring, and ROI evaluation. The current problem centers around personalization and accuracy. Due to the …

The Southern Roots Of Populist Rhetoric And The Growth Of Fundamentalism, Ethan Teems

Theses

The religious fundamentalism of the 1920s was a direct evolution of the Southern Populist movement of the 1890s. While populism began as a political crusade against economic exploitation, industrialization, and urbanization, it evolved into a movement that attacked modernity. The southern United States was rooted in a predominantly religiously homogeneous society. The Protestant religions that encompassed the region were unwilling to adapt to a changing society, allowing religious fundamentalism to expand.

Beginning with the cultural conflicts of the 1920s, such as the Scopes Trial and William Jennings Bryan’s activism, the study explains how fundamentalists framed their struggles against modernism as …

Leveraging Ai, Iot, And Predictive Analytics For Crisis Management And Urban Resilience In Dubai, Suhail Bin Kalli

Theses

The thesis will discuss how smart technologies could be incorporated in the crisis management structures of Dubai to make the city more resilient. As Dubai grows more urbanized, it experiences increased problems with managing its crisis especially in the high population density places, traffic congestion, utility disruption, and extreme weather. This paper discusses how artificial intelligence (AI), the Internet of Things (IoT), and predictive analytics can be used to ameliorate the response to emergencies, manage the allocation of resources, and enhance the coordination between different agencies. The crisis management systems at Dubai are still ineffective despite the level of technologies …

Enhanced Pulsar Timing Precision For The Era Of Nanohertz Gravitational Wave Astronomy, Sofia V. Sosa Fiscella

Theses

In 2023, several international collaborations comprising the International Pulsar Timing Array achieved a major scientific milestone with the first detection of a signal in pulsar timing observations consistent with the signature expected from a stochastic gravitational wave background, created by an ensemble of unresolved supermassive black hole binaries in the early Universe. The next breakthrough in the field is expected to be the first detection of a continuous wave from a single such binary, which would allow us to better understand their evolution and that of our Universe. However, this feat will require unprecedented precision in our timing measurements. To …

Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi

Theses

This paper explores how behavioral, academic, and parental engagement data provided within the xAPI-Edu-Data dataset can be used to predict the academic performance of students when training on machine learning models with supervised learning. Due to the developing demands of the data-driven initial selection of the learners under risk, the study will create a valid and explainable predictive model that can consider the most significant factors of student success in Learning Management System (LMS). The research is based on behavioral engagement and self-regulation learning theories; the observations included in the analysis of student interaction, i.e. resource usage, classroom engagement and …

Understanding Computer-Mediated Human Experience In Digital-Physical Hybrid Space, Jiangnan Xu

Theses

With the rapid development of mobile and immersive technologies, the boundary between the digital and real world is increasingly blurred, giving rise to hybrid spaces. Hybrid spaces have permeated daily life and reshaped spatial meaning-making and social interaction. Despite their growing prevalence, empirical understanding of human experiences in hybrid spaces remains limited. If left unexamined, hybrid spaces risk becoming technology-centered rather than human-centered environments that overlook socio-cultural dimensions, potentially leading to harmful consequences for individuals and society. To investigate human experience in hybrid spaces, this thesis comprises five studies and uses gameful systems as research probes. Prior literature identifies collaboration …

Predicting Undergraduate Fallout And Success, Ammar Ahmed Alzarooni

Theses

Universities need to uncover students who are likely to drop out early and do something about it. It should be easy to find and use this information. This thesis evaluated interpretable machine-learning models (MLMs) for predicting three final student outcomes including Dropout, Enrolled and Graduate, using solely demographic, administrative/financial and first-semester academic variables. Study employed publicly accessible Portuguese UCI student retention dataset (4,424 records) and incorporated end-of-Semester-1 feature window to prevent look-ahead leakage and align with actual advising cycles. We trained and compared models using stratified validation, explicit class-imbalance handling and decision-threshold optimization to make dropout detection most critical factor. …

Enhancing Json Schema Inference Via Semantic And Structural Modeling Of Heterogeneous Data, Justin R. Namba

Theses

Schema discovery is finding the structure of data. It helps users understand the meaning of data and write queries to manipulate it. This is typically easy for relational databases, but complex for non-relational (NoSQL) databases with documents. For relational databases, the schema is predefined because the data they contain is structured, but for NoSQL databases, data is usually unstructured or semi-structured. Here, we focus on a type of semi-structured data called JSON, which is a collection of documents that consists of nested key-value pairs. A JSON key and value are similar to a column name and its associated data instance …

A Novel Rheological Technique To Measure The Yield Stress In Equibiaxial Elongation, Asher Segal

Theses

Yield stress measurement in non-Newtonian fluids, particularly under complex flow conditions such as equibiaxial elongation, remains a significant challenge in experimental rheology. This work presents the development of a novel method, Continuous Lubricated Squeezing Flow (CLSF), designed to quantify the normal yield stress of viscoelastic materials while minimizing boundary artifacts.

The CLSF method was implemented and validated using Carbopol 940, a model yield-stress gel, at concentrations of 1 wt% and 2 wt%. Comparative shear rheology was first performed to establish baseline yield stresses and verify sample integrity. CLSF experiments were then conducted over controlled flow rate increments and gap distances …