Digital Commons Network^™

Subterranean Drought Classification And Ecological Risk In Karst Systems, Shaelyn Deal

Theses

Cave ecosystems depend on stable groundwater inputs, yet no standard method exists for detecting subterranean drought. This study develops a framework to define and monitor drought in karst cave systems by adapting surface-based hydrologic indicators. Using long-term water level data from Bobcat Cave in northern Alabama, we identified drought events through percentile-based thresholds and evaluated multiple surface metrics, including the Standardized Precipitation Index (SPI) and deep-layer soil moisture, as predictors of cave drought severity. Random Forest models supported the selection of key indicators and informed classification thresholds. These thresholds were then applied across the Middle Tennessee Elk watershed to map …

Multi-Factor Mathematical Optimization For Healthcare Referral And Facility Placement, Mitchell Moody

Theses

This thesis addresses the challenge of optimizing patient referrals in healthcare systems by integrating clinical needs, geographic proximity, and dynamic infection risk. Healthcare referral networks (HRNs), which capture patient transfers between hospitals, serve as the foundation of the study. First, a recommendation algorithm is developed to assign patients by jointly considering clinical compatibility and logistical considerations like travel distance, striking a balance between quality and accessibility. Building on this, a reinforcement learning framework is proposed to dynamically adjust referral strategies for vulnerable patients by incorporating the evolving risk of hospital-acquired infections. Finally, long-term planning is explored through methods that recommend …

Application Of Machine Learning To Predict Ultrasound Wave Propagation In Biphasic Fluid–Solid Media, Jahnavi Dandamudi

Theses

The objective of this thesis is to investigate the application of Machine Learning (ML) algorithms to predict ultrasound wave propagation in the cartilage tissue of the knee joint. The learning data necessary for the ML algorithm has been generated through finite-element method (FEM)-based simulations for solving the Biot theory equations governing the propagation of continuous ultrasound through the cartilage. Specifically, we computed the ultrasound-induced dilatations and displacements in the microscale cartilage that is represented as consisting of four zones, namely the chondrocyte cell and its nucleus, the pericellular matrix (PCM) that forms a layer around the chondrocyte, and the extracellular …

Optimizing Wind Wing Wall Ventilation In High-Rise Buildings Within Dense Urban Hot And Humid Climate., Arushi Bhatia

Theses

This study investigates how wing walls can increase natural ventilation in high-rise structures, particularly in hot, humid locations such as Mumbai, India. Using wind flow simulations and computational fluid dynamics (CFD) modeling, the study investigates how wind direction and the installation of wing walls affect airflow throughout the building. The study examines four scenarios, each analyzing how airflow varies when a building is located near surrounding structures of differing heights. It uses comprehensive CFD simulations to assess how alternative wing wall depth design can affect ventilation, as well as how wall-to-window ratio variation can contribute to airflows. Following these simulations, …

Comparative Analysis Of Earth-Bermed And Conventional; Single-Family, Residential Homes In The Hudson Valley Region, Beacon, New York, Michael G. Patchen

Theses

This thesis is a comparative analysis of the environmental sustainability between two similar square-foot, single-family residential homes constructed as a bermed shelter and the conventional wood frame in the Hudson Valley Region, Beacon, New York. The research will focus on the two designs' embodied carbon, cost, and energy use. To quantify the environmental impact of these two construction methods, an in-depth understanding of the diverse host climate is necessary. Climate data and the results from the experiments are collected by performing life cycle, cost, and energy analysis, providing insights into the environmental implications of residential construction methods. The methodology will …

Social Media Intelligence: Responding To Crime And Violence In The Digital World, Chloe Lynn Sitton

Theses

The integration of social media into everyday life has transformed how crime is committed, communicated, and investigated. This capstone project examines the emerging field of social media intelligence and its growing influence on modern policing, surveillance, and the community. Drawing from sociological theory, law enforcement practice, legal analysis, and community-based research, this project offers a far-reaching interdisciplinary view of how social media is shaping crime and justice in the United States.

Amorfe: An Ai-Integrated Interactive Brainstorming Interface, Ipshita Pal

Theses

Amorfe is an interactive multi-touch digital interface that reimagines brainstorming and collaboration using artificial intelligence (AI). Designed to make ideation more dynamic, the platform allows participants to explore, merge, and refine ideas in real time. AI is a creative catalyst, offering unpredictable outcomes and streamlining the brainstorming process. This makes Amorfe engaging, intuitive, and inclusive, encouraging active participation. The platform’s potential was demonstrated through a hypothetical scenario: “How do we create more green spaces on the RIT campus?” Four participants explored various brainstorming phases through touch interaction, leading to the creation of a prototype simulation video and a promotional video. …

Predicting Students At Risk Of Dropping Out In The College Of Medicine At Mohammed Bin Rashid University Of Medicine And Health Sciences. A Machine Learning Approach To Understand Attrition Factors Over The Past Seven Years, Moza Sulaiman Al-Zaabi

Theses

This master’s thesis investigates student attrition within the College of Medicine at Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) by applying the CRISP-DM methodology to analyse a dataset of 19 variables and around 2,000 records from Student Admission and Academic Performance sources. Although the dataset was relatively small, several machine learning models were developed to predict students at risk of dropping out, including Logistic Regression, Decision Trees, Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Of these models, the ANN model, particularly when combined with Principal Component Analysis (PCA), achieved the highest performance with an accuracy …

Ai-Driven Anomaly Detection In Cybersecurity, Mohamed Almansoori

Theses

India has witnessed a huge level of digitization in the last two decades which has greatly impacted its economy and society. But the increasing use of technology has also intensified the number and level of threats to cyberspace in the country. Signature-based detection systems that have dominated the cybersecurity field for years have not been up to the challenge of modern attackers who use more complex and diverse attack methods. These challenges are well understood and this research focuses on improving the cybersecurity anomaly detection in India during the period between 2003 and 2022 using advanced AI and machine learning. …

Wildflowers A Novel, Kelli Roberts

Theses

Abstract for Wildflowers

Wildflowers is a feminist literary novel that examines the intersection of sex, power, and free will, exploring how these forces shape and define human agency. The story follows a group of women drawn to an enigmatic leader who promises enlightenment and empowerment through embracing their desires. As they navigate the fine line between self-actualization and manipulation, the novel delves into themes of liberation, coercion, and the choices we make to create the lives we long for. Provocative and thought-provoking, Wildflowers invites readers to consider the complexities of desire, the cost of empowerment, and the courage required to …

Integrative Hyperspectral Approaches For Advanced Soil Property Analysis And Environmental Monitoring, Nayma Binte Nur

Theses

Hyperspectral imaging has emerged as a powerful tool for enhancing the analysis of diverse soil properties and environmental monitoring. This study refines the precision of soil biogeophysical analyses by improving the estimation of soil moisture content (SMC), soil organic matter (SOM), total carbon (C), and nitrogen (N) through hyperspectral remote sensing techniques. The research examines the capabilities of two prominent moisture retrieval models: the multilayer radiative transfer model (MARMIT) and the modified soil water parametric (SWAP)-Hapke model. These models are evaluated using hyperspectral imagery derived from unmanned aerial systems (UAS) and goniometric data collected across various environmental settings. The findings …

Predicting Newborn Low Birth Weight: A Machine Learning Approach Using Maternal Health And Demographic Data, Rayan Elsayed

Theses

Low birth weight (LBW), defined by the World Health Organization as a birth weight under 2500 grams, remains a major global health challenge due to its association with increased risks for adverse neonatal and long-term health outcomes. This study aims to identify maternal health factors that contribute to LBW and to develop predictive models to support early identification of at-risk pregnancies. Two machine learning models, Logistic Regression (LR) and Random Forest (RF), were developed to analyze the relationship between maternal factors and LBW outcomes. The RF model achieved an accuracy of 96.36%, demonstrating robust predictive performance across metrics, making it …

Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Active Inference (AIF) is an emerging framework rooted in neuroscience aimed at elucidating human perception, action, and cognitive processes. Recent advances in machine learning have facilitated the non-invasive study of human cognition through the lens of this framework. This dissertation expands upon this theoretical foundation to address practical challenges in robotic control and human cognitive behavior analysis. We initiate our exploration with a review of the eye-tracking studies that underpin the motivation for AIF research. This provides a background for understanding how AIF can model cognitive processes. First, we present a minimal AIF model within a discrete state space, framed …

A Funerary Rite: A Visual Ethnography Of Climate Change, Threatened And Endangered Coral Species, And The Impact Of Coral Reef Death On Coastal Communities, Jason Uhl

Theses

This directed project includes research on a selection of the 24 coral species currently listed as threatened or endangered, these being at high risk of extinction. Climate change of the Anthropocene era and associated human-induced pollution impacts have resulted in most of the Earth’s coral reefs experiencing increased coral bleaching and coral death events. Our planet’s coral reefs are the main habitat to 25% of the world’s fish population. These coral habitats have also supported innumerous coastal communities in cultural, economic, social, and spiritual respects for millennia. This directed project includes the creation of an exhibition of 22 lidded ceramic …

Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Biological neurons are known to be much more energy efficient than modern computers, with the human brain only consuming about 20 Watts. An Artificial Neural Network can take hours or days to train on high-performance and energy-consuming GPUs, so networks that can achieve similar performance at a fraction of the energy cost are very sought after. Spiking Neural Networks, which mimic biological neurons more closely than Artificial Neural Networks (ANNs), are a potential option for the energy problem in Neural Networks. By converting an ANN to an SNN and applying energy-saving methods/architectures, the equivalent SNN network can achieve similar performance …

Enhancing Medical Cybersecurity: A Machine Learning Solution For Intrusion Detection In Iomt Devices, Afra Yaqoob

Theses

In the past few decades, the healthcare sector has undergone major technological advancements, which have included the adoption of Internet of Medical Things (IoMT), and networked medical devices. These advancements have changed the manner in which patient care is provisioned, enabling for more accurate diagnosis, personalized treatment plans, among other benefits. However, as healthcare providers are growing more reliant on interconnected systems, they have also been exposed to critical cybersecurity vulnerabilities. Medical devices have now become targets for cyberattacks, threatening patient data and its security and endangering patient's health and safety. This thesis examines the affects that inadequate cybersecurity measures, …

Small Angle X-Ray Scattering And Form Factor Modeling Of Β Crystallins - A Physiologically Significant Eye Lens Cytoplasm Protein, Srijan Banerjee

Theses

This thesis provides in depth analysis of small angle x-ray scattering (SAXS) experiments conducted on the beta-high crystallin eye lens cytoplasm protein. In particular, radius of gyration and molecular weight measurements are extracted and compared to measurements from existing work. Furthermore, an approach to math ematically modeling the scattering ”form-factor”, which describes the size and shape of individual particles, is also developed and applied to the SAXS data. The model acheived in the thesis appears to agree closely with scattering data at the low q range. Several obstacles which impede the resulting modeling from perfectly characterizing the data at higher …

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …

Recruitment Sources Of Grass Carp (Ctenopharyngodon Idella) In The Great Lakes, Nicholas Steven Etter

Theses

Grass Carp (Ctenopharyngodon idella) is a species of concern in areas they have invaded, such the Laurentian Great Lakes, due to their potential to substantially reduce aquatic macrophyte coverage. Efforts to control Grass Carp in the Great Lakes have primarily been focused on two tributaries to the western basin of Lake Erie (i.e., Sandusky and Maumee rivers, Ohio) where reproduction has been documented, although other Great Lakes tributaries are known to have thermal and hydrological regimes suitable for Grass Carp spawning. Knowledge of sources contributing to the expanding population of invasive Grass Carp in the Great Lakes is key to …

Investigating The Effect Of Active Living Wall On Indoor Air Quality And Energy Consumption: Case Study In Uaeu Closed Offices, Atina Mohsen Ghunaim

Theses

Extreme hot climates can significantly affect Indoor Air Quality (IAQ) and ventilation, resulting in higher energy demands. Numerous studies have demonstrated that outdoor greening, such as trees and landscaped areas, can reduce a building’s energy consumption. However, less research has been conducted on the impact of indoor vegetation on energy use and air quality. Indoor vegetation decreases Carbon Dioxide (CO₂) concentration by absorbing CO₂ and releasing oxygen (O₂), while the evapotranspiration process further enhances (IAQ) and reduces energy expenditure. The United Arab Emirates has dry arid climate and summers with high humidity levels, causing individuals to stay longer indoors, which …

In Vitro Investigation Of The Potential Therapeutic Implications Of Safranal On Gastric Cancer, Aisha Juma Al Otaibi

Theses

Despite the fact that gastric cancer patients are indispensable to conventional radiation and chemotherapy, the detrimental side effects of those approaches prompt cancer research to seek new integrative treatments. In this respect, safranal (SAF) stands out as a complementary phytotherapeutic drug with exceptional anticancer properties. Concurring studies have shown that SAF is negatively associated with several cancer types, yet its potential therapeutic impact on gastric cancer remains vastly obscure. Thus, this dissertation sought to investigate SAF's prospective tumoricidal ability and its underlying mechanisms of action on gastric cancer in vitro. Herein, the study evaluated the cytotoxicity of SAF on …

Predator-Prey Interactions And Space Use Strategies For Two Mesocarnivores, Abigail Weber

Theses

Mesocarnivores, including bobcats (Lynx rufus) and coyotes (Canis latrans), serve an important ecological role, functioning as the top predators throughout much of the eastern United States due to the extirpation of larger-bodied carnivores. Mesocarnivores are often described as generalists due to their flexibility in forage and habitat preferences and their ability to persist in human-dominated landscapes. However, this characterization overlooks the fact that many individuals within these populations act as specialists, with movement, space use, and predation strategies varying between individuals and across environmental contexts. Quantifying variability in mesocarnivore space use and movement from multiple perspectives can provide a better …

Investigating The Effect Of Metal Site Of The Leaf And Branch Compost Cutinase Through Molecular Dynamics Simulations, Ryan James Molitor

Theses

The petroleum-based polyethylene terephthalate (PET) is a versatile and synthetic polymer that plays a pivotal role in the economy, including packaging, textiles, 3D printers, and even medical-related applications. There is a need for plastic waste management. Biological up-cycling of PET is a promising method for a clean and sustainable future. In 2012, a group of researchers, Tournier et. al., performed experiments and molecular dynamics simulations on the Leaf-branch Compost Cutinase, LCC (PDB Code: 4EB0), which outperformed the PET hydrolysis activity compared to three other PET hydrolyzing enzymes. The LCC and PET depolymerization rate of wildtype LCC was reported to be …

Holistic Correlation Measure For Enhanced Encapsulation Of Trait Heterogeneity And Discovery Of Co-Expression, Zachary Valleroy

Theses

Large-scale, high-dimensional data analyses can be computationally prohibitive due to combinatorial explosion of the search space for finding complex patterns; a viable alternative is network modeling for abstraction and quantifying intrinsic data associations. Prominent network analysis methods furnish frameworks for model synthesis and validation but rely on standard correlation measures impaired by semi-supervised biases, latent heterogeneity, and uneven discretization techniques. Here we investigate a holistic measure for encapsulating data heterogeneity for enhanced efficacy of revealing complex patterns through network analysis. Our unique correlation metric, K-medoids Utility for Duo Original Similarities (Kudos), exhaustively factors real-valued analyte data to compute …

Vitamin D Clinical Relevance In The Recovery From Traumatic Brain Injury Among The Military Population, Yuisa Mariceli Colón

Theses

Traumatic brain injury (TBI) still remains a difficult disorder to treat. TBI has been associated to chronic neuroinflammation and a high risk for neurodegenerative disorders. Since 2001 between ten to twenty percent of all deployed military members have suffered a combat-related TBI. Nearly twenty to thirty percent of those will experience chronic cognitive, behavioral and somatic symptoms after suffering a TBI. This review found compelling evidence to support that the pathology of TBI is closely associated with neuroprotective mechanisms of vitamin D.

Headspace, Katrina E. Kauffman

Theses

Headspace is a contemplation of the dynamics and labor of thought. As someone with ADHD, dysgraphia, and dyslexia, my thought process is often circuitous yet cyclical. This thesis will explore the overlap between ritual and hyperfocus as a facet of artistic practice as well as their impact on physical and emotional equilibrium. By personifying the three proposed stages of memory by the Cognitive Load theory through the performance of repetitive tasks like making chewing gum, paper, and ink by hand, I both exemplify my neurodivergent brain structure and the reformatting my neural pathways undergo to conform to neurotypically inclined society. …

Hope Vs. Hate: Understanding User Interactions With Lgbtq+ News Content In Mainstream Us News Media Through The Lens Of Hope Speech, Jonathan Pofcher

Theses

This thesis makes three contributions. First, via a substantial corpus of 1,419,047 comments posted on 3,161 YouTube news videos of major US cable news outlets, we analyze how users engage with LGBTQ+ news content. Our analyses focus both on positive and negative content. In particular, we construct a fine-grained hope speech classifier that detects positive hope speech, negative, neutral, and irrelevant content. Second, in consultation with a public health expert specializing on LGBTQ+ health, we conduct an annotation study with a balanced and diverse political representation and release a dataset of 3,750 instances with fine-grained labels and detailed annotator demographic …

Digital Microfluidic Oligonucleotide Synthesis: Automated Assembly Of Dna Products In Air And Oil With Integrated On-Chip Incubation, Sari Houchaimi

Theses

Production of accurate DNA products is essential for many biological applications including drug development and delivery, synthetic biology, molecular engineering and epigenetics. It is difficult to build long DNA chains accurately and repeatably with conventional methods such as phosphoramidite method and polymerase chain assembly. DNA aqueous enzymatic assembly is a promising alternative. Multiple DNA fragments can be reliably and consistently assembled into one product using engineering enzymes in an aqueous medium. Digital Microfluidics uses asymmetric electric fields to simultaneously manipulate multiple reagent droplets on an array of electrodes. This platform is biocompatible and easily controllable. It has been used for …

Cultivation Of Food And Fodder Crop Millets And Quinoa In The Aquaponics System For Sustainable Food Security In The United Arab Emirates, Salama Yousef Al Khoori

Theses

Aquaponics is a sustainable food production technology that integrates aquaculture with hydroponics. This study aimed to evaluate the possible impact of an aquaponics system on the cultivation of pearl millet, finger millet, and quinoa, utilizing water from tilapia aquaculture. The duration of the experiment is six months utilizing the manually constructed backyard aquaponics system. Tilapia fish serves as the principal biological material for nutrient generation in the experiment. This study investigated and recorded water quality indicators, including pH, temperature, dissolved oxygen, electrical conductivity, total dissolved solids, ammonia, nitrite, and nitrate levels over the experimental period. The parameters of fish growth, …

Kinetics, Thermodynamics, And Biological Characterizations Of Hydrolysates Enzymatically Produced From Proteins Extracted From Microalgae, Hebah Al-Amodi

Theses

This thesis aims to explore the use of Zeolitic Imidazolate Framework-L (ZIF-L) as a support for immobilizing alcalase and its potency in producing protein hydrolysates. ZIF-L was synthesized at room temperature using an aqueous solution, and alcalase was immobilized through adsorption batch experiment. The successful immobilization of alcalase on ZIF-L was confirmed through Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). The maximum adsorption capacity of alcalase on ZIF-L was determined to be 672.1 ± 5.5 mg g^-1 at 40°C using an initial protein concentration of 5 mg mL-1. Adsorption equilibrium data …