Digital Commons Network^™

Abundance And Habitat Associations Of Bivalves In Mosquito Lagoon, A Preliminary Survey, Mariam Sonbol

Honors Undergraduate Theses

This study investigates the understudied abundance and habitat associations of bivalves in Mosquito Lagoon. Seagrass habitats were found to support the highest diversity of mollusks in earlier surveys (Mikkelsen et al., 1995). Twelve sites, including seagrass-vegetated, unvegetated, and seagrass-restored areas, were sampled in March and May 2024. Habitat characteristics, such as sediment composition and seagrass cover, were analyzed alongside bivalve populations. Across all sites, 6 genera were identified among 44 individuals. Overall abundance and diversity of bivalves collected were low in all sites, and most individuals were juveniles. Sediment characteristics influenced differences in diversity across site types, with restored sites …

The Effect Of Intermittent Fasting, Caloric Restriction And Exercise On Aging And Longevity: Systematic Review, Romi Hardin

Honors Undergraduate Theses

The purpose of this study was to gain a better understanding of the effects of caloric restriction, intermittent fasting, and exercise on human longevity and aging, and explore their practical applications and inclusions into a healthy lifestyle. By reviewing the existing research and studies, this literature review focuses on identifying and explaining the biological mechanism behind these practices and exploring whether combining practices can be advantageous in extending not only lifespan but health span. The results generally indicate that following either caloric restriction or intermittent fasting and participating in regular exercise have immense results on promoting healthy aging in an …

The Role Of Multiteam Systems In Prescribed Fire Operational Incidents, Kevin Llanos

Honors Undergraduate Theses

The purpose of this thesis is to study how multiteam systems (MTS) are implicated in prescribed fire operations and enhance an interdisciplinary understanding of occupational demands in the industry to mitigate worsening environmental challenges. We study publicly accessible sources through a mixed-methods approach applying I/O psychology and discuss relevant literature. Land management plan documentation is reviewed to explore the structural and functional components of prescribed fire teams. We apply theory-driven coding to analyze prescribed fire incident documentation as we study MTS system processes and develop thematic findings. Lastly, industry job listing content and occupational demands are reviewed. Through this archival …

Guarding The Grid: Exploring Iot And Iiot Security Vulnerabilities In Smart Power Systems, Nicole G. Parker

Honors Undergraduate Theses

The Internet of Things (IoT) encompasses the collective network of electrical devices and the technology that enables them to send and receive data. The use of IoT technologies in industrial settings, such as transportation, manufacturing, and energy is referred to as the Industrial Internet of Things (IIoT). With the expansion of IoT in homes and IIoT in the energy sector has come an increase in the number of devices connected with each other. Engineers have utilized this network to develop sophisticated smart systems that combine sensing, processing, actuation, and control to produce smart environments. Along with the benefits of IoT …

Reinforcement Learning From Human Feedback For Ethically Robust Ai Decision-Making, Marco M. Plasencia

Honors Undergraduate Theses

The emergence of reinforcement learning from human feedback (RLHF) has made great strides toward giving AI decision-making the ability to learn from external human advice. In general, this machine learning technique is concerned with producing agents that learn to work toward optimizing and achieving some goal, advanced by interactions with the environment and feedback given in terms of a quantifiable reward. In the scope of this project, we seek to merge the intricate realms of AI robustness, ethical decision-making, and RLHF. With no way to truly quantify human values, human feedback is an essential bridge in the learning process, allowing …

Breakfast Skipping In College Students And Its Association With Eating Behaviors, Rebekah E. May

Honors Undergraduate Theses

Background: Breakfast is important in maintaining optimal diet quality and decreasing preventable diet-related disease later in life. Breakfast skipping is highly prevalent in the college population, potentially decreasing self-regulation and diet quality and increasing habits of overeating. However, specific eating styles and diet quality have yet to be studied in breakfast skippers.

Objective: To explore and compare the characteristics of eating style, self-regulation, and diet quality among college students between a day when breakfast is skipped and a day when breakfast is consumed.

Methodology: Undergraduate students (n=103) participating in this observational crossover study completed demographics, the Self-regulation of Eating Behavior …

Serious Game-Based Training For Improved Utilization Of A Novel Temporalis Emg Interface For Controlling Powered Wheelchairs, Calvin Macdonald

Honors Undergraduate Theses

Amyotrophic lateral sclerosis (ALS) is a terminal neurodegenerative disease that leads to a lack of independent mobility. One solution uses a unilateral surface EMG (sEMG) interface on the temporalis muscle to provide autonomous control of a powered wheelchair. Limbitless Journey, an EMG-controlled serious game, intends to provide users with a virtual environment to train in before use in a real-world scenario. A recent study analyzed the effect of video game training on the use of sEMG systems on the forearm, showing significant improvement in the usage of the interface but no difference between Free Play and structured play. The study …

Analysis Of Variations In Flow-Independent Liquid Jet-In-Crossflow Injections, Michael Scott

Honors Undergraduate Theses

Liquid fuel injection is a critical mechanism for the deliverance of liquid fuel in contemporary aircraft propulsion combustion systems due to its outsized influence in providing optimal combustion conditions and improving overall aircraft efficiency and performance. Despite this, these liquid jet in crossflow (LJIC) systems are highly variable due to conditions in the jet and the surrounding airflow, leading to variability in performance behavior and inconsistency in fuel mixing and combustion efficiency. This has prompted the introduction of solid pintile obstructions of novel designs to provide a more flow-independent fuel injection scheme and decrease variability of the jet properties against …

The Relationship Between Creative Activity And Physiological Symptoms Of Anxiety, Amanda G. Solivan

Honors Undergraduate Theses

The goal of this study was to determine the relationship between creative activity and physiological symptoms of anxiety. It was hypothesized that an increase in participation in creative activity would be related to a decrease in physiological symptoms. For this study, 250 participants were recruited through social media and SONA, and were prompted to complete surveys reporting how frequently they engaged in creative activities and the degree to which they experienced physiological symptoms. Results found that there was a significant relationship between two of the variables of interest (arts and crafts and sports) and somatic symptoms. Participants who reported higher …

Need For Cognition, Empathy, And Self-Esteem As Predictive Factors Of Modern Media Selectivity, Alfredo J. Hurtado Jr.

Honors Undergraduate Theses

Personality traits often drive media selectivity, as individuals seek out specific types of media and media genres for gratification. To further understand selectivity in a modern context, this study examined the personality factors of need for cognition, self-esteem, and empathy in relation to engagement with social media, literature, music, podcasts, video games, and tabletop games, with their associated genres. Analyses of 328 participants revealed that personality traits provided minimal to mild influence in media and genre selection, suggesting that the mechanisms behind media selection are comprised of other psychological and sociological factors.

Copyright Infringement In The Use Of Copyrighted Material By Generative Artificial Intelligence Programs, Kristin Lee

Honors Undergraduate Theses

The importance of protecting artistic works and promoting the creation of new works has been well established since the inception of United States Constitution. Copyright protections were created by Congress to grant authors exclusive rights over how their works are used and any violation of these rights is copyright infringement. This paper outlines why the use of copyrighted material to train generative artificial intelligence (A.I.) systems is an infringement upon the rights of the author and not an exception under fair use. While no court decisions have been rendered on this legal issue, this paper utilizes previous court decisions in …

Disseminating Over-The-Air Updates Via Intelligent Labeling In Multi-Tier Networks, Atefeh Asayesh, Asad Waqar Malik, Sajal K. Das

Computer Science Faculty Research & Creative Works

Connected Vehicles Rely on Sophisticated Software Systems for Diverse Features, Including Navigation, Entertainment, Communication, and Safety Functions. as Technology Continues to Advance, the Reliance on Software in Connected Vehicles Becomes Increasingly Integral to their overall Performance and the Delivery of Innovative Features. Therefore, in the Domain of Software-Enabled Automobiles, the Implementation of over-The-Air (OTA) Software Updates is Deemed Essential for the Dissemination of Software and Fixes in Connected Vehicles. the Conventional Method of Addressing This Matter Entailed Manufacturers Undertaking the Task of Recalling Outdated Vehicles; However, the Central Issue Lies in the Considerable Challenge of Effectively Notifying Owners through Recall …

The Effects Of Language-Related Misunderstanding At Work, John Fiset, Devasheesh P. Bhave, Nilotpal Jha

Research Collection Lee Kong Chian School Of Business

Demographic, technological, and global trends have brought the language used at the workplace to the forefront. A growing body of research reveals that language could result in misunderstanding at work, and influence employees' performance and attitudinal outcomes. Language at work encompasses standard language (e.g., English) as well as several hybrid forms of language (non-native accents, code-switching, and jargon). We delineate how these forms of language could result in misunderstanding. We then identify relational, affective, and informational mechanisms that underlie the relationship between language-related misunderstanding and employees' performance and attitudinal outcomes, and highlight key boundary conditions. In doing so, we uncover …

Scares: A Clinician Guide To Spinal Cord Awareness, Response, And Emergency Support Creation And Implantation Of Scares Protocol Among Hospitalist Advanced Practice Providers, Brittany Biega

DNP Scholarly Projects

While they are more common in patients with oncological disease and trauma, SCE still exist among patients without these comorbidities. Less has been established regarding care protocols in this population. The absence of standardized procedures has been linked to preventable, adverse patient outcomes, including cases of permanent damage due to delayed treatment. This project employs Lean Six Sigma methodologies and Johns Hopkins Evidence- Based Practice to devise a robust SCE protocol, aimed at standardizing care and improving patient outcomes. A multidisciplinary team including general medicine, neurology, neurosurgery, and neuroradiology developed “Spinal Emergency Management Guidelines” protocol, which was implemented within the …

Modeling And Analysis Methods For Esd And Emi Problems, Xin Yan

Doctoral Dissertations

"Electrostatic discharge (ESD) failures and Electromagnetic interference (EMI) problems are becoming more critical in electronic devices and large systems. In this work, four studies are presented to model and analyze ESD and EMI problems.

First, a simplified physical-based model for deep-snapback transient voltage suppressors (TVS) is developed. While based on physics, the number of parameters and components is minimized. Results show that the proposed model captures the most important behaviors of the TVS response using a limited number of parameters, allowing the model to be tuned relatively easily using data obtained only from package-level transient and quasi-static measurements. Second, a …

A Human-Centered Framework For Oncological Healthcare System Modeling Applied To Mobile Radiation Delivery, Alex Price

Doctoral Dissertations

"Healthcare systems engineering is challenging due to the complexity, geographic expansiveness, inertial properties, and the heterogeneous sub-systems, with varying vested interests. Additionally, humans comprise many of the forms and functions, and are independent, with resistance and uncertainty in their decision-making that adds complexity. Human-centered systems modeling approaches are therefore needed to capture this unique aspect of a healthcare system and to enhance understanding of emergent healthcare properties. This dissertation focuses on integrating systems modeling within healthcare and emphasizes the importance of incorporating human decision-making. Moreover, the incorporation of a human-centered approach yields particularly valuable insights into the decision-making processes that …

Experimental Investigation Of High-Temperature Brine-Shale Interactions, Anna Atasha Hoffmann

Doctoral Dissertations

"Hydrofracturing (fracking), a common practice in the Petroleum Industry to induce or improve fluid flow in tight formations, creates chemical disequilibrium that further alters the porosity and permeability of host rocks and results in the production of saline and contaminated produced waters (PW). The PW of the Tuscaloosa Marine Shale (TMS) are Na-Ca-Mg-K-Cl brines with mean concentrations of approximately 16% Total Dissolved Solids (TDS) and circumneutral pH. Analysis of composition suggests the PW result from a 20 to 80% dilution of formation waters (relict brines of the Louann Salt) by fracking fluid. Trace element concentrations generally show moderate to strong …

Integrated Study Of Heat Transfer And Local Gas Dynamics In A Pebble Bed Very High Temperature Nuclear Reactor Using Advance Measurement Techniques, Muhna N. Alshammari

Doctoral Dissertations

"The aim of this study, pebbles of diameter of 5 cm and a pebble-to-diameter ratio (aspect ratio) of 6 were used. In part I, the local gas velocities were studied at different radial and axial locations in the pebble bed using a sophisticated hot wire anemometry (HWA) technique, which was supported with a novel probe-protector case to protect the fragile probe, allowing the measurements to be taken between the pebbles for the first time. The local gas velocities were found to be significantly higher in the near wall region due to the higher void fractions in the near-wall region, compared …

The Comprehensive Study Of High Viscosity Friction Reducers In High-Tds And High-Temperature Environments, Xiaojing Ge

Doctoral Dissertations

"High viscosity friction reducers (HVFRs) have been recently gaining more attention and increasing in use, not only as friction-reducing agents but also as proppant carriers. Reusing of produced water has also been driven by both environmental and economic benefits. Currently, most friction reducers on the market are anionic friction reducers, which are fully compatible with most produced water with low to medium level of Total Dissolved Solids (TDS) but show a significant drop at high TDS conditions in term of their friction reduction performance in most cases. On the contrary, cationic friction reducers are believed to have better TDS tolerance …

Understanding Catalyst Design Principles In Transition Metal Mixed Anionic Chalcogenides For Electrocatalytic Energy Conversion, Ibrahim Abdullahi

Doctoral Dissertations

"This research focused on the synthetic design of transition metal mixed anionic chalcogenide catalysts containing various ligand types around the central metal atom (chalcogen anion and chalcogen-based organic ligand) generating diverse crystal structure types applied for water splitting and carbon dioxide reduction reactions (CO₂RR).

A series of catalysts were synthesized starting with isolated metal complexes (ME_n) with a central metal core (M = Co, Ni, Cu, and Cr) through molecular clusters, to bulk nanostructured solids of similar M-E coordination. Bis(dichalcogenoimidodiphosphinato) were employed as ligands in the metal complexes, and anionic chalcogen (E = S, Se, and …

Improving Decision-Making Processes In Construction And Infrastructure Bidding: Qualitative And Quantitative Approaches Including Graph Theory, Game Theory, And Machine Learning, Muaz Osman Elzubeir Ahmed

Doctoral Dissertations

"Construction and infrastructure bidding is a highly competitive process that entails various uncertainties faced by contractors. Contractors weigh various factors to determine the expected benefits of a construction project and decide their bid value. However, the situation is more complex in multi-stage bidding (MSG), where general contractors must account for the bids of their subcontractors and face a greater threat of the winner’s curse (i.e., situation where the winning contractor underestimates the actual cost of the project). As such, bidding-related complexities, risks, and uncertainties, if uncontrolled, can lead to the rise of claims and disputes between stakeholders. Existing research falls …

Methodology For Parameter Determination For Simulation Software, Aaron Flood

Doctoral Dissertations

"This research aims to present a methodology for optimizing input datasets to increase the accuracy of mathematical models and accelerate their application to engineering problems. To accomplish this goal, this work focused on the application of mathematical models to metal additive manufacturing (AM), specifically the thermal history of laser directed energy deposition (DED) of aluminum alloys. The initial steps of this body of work were to develop a mathematical model that is capable of simulating the metal AM process and applying it to the laser DED of aluminum. It was validated using the well characterized material Ti-64 and shown to …

A Lightweight Machine-Learning Framework For Enhancing Security In Iot Blockchain Networks, Charles Connor Rawlins

Doctoral Dissertations

"Blockchain is one of the fastest technologies that rivals the Internet in terms of adoption speed. This security method is applicable to data-centric environments for validating data in the presence of faults. However, traditional blockchain implementation introduces bottlenecks with computationally intense security measures to prevent malicious spam and resolve conflicts. This dissertation explores a new direction for blockchain technology that allows limited nodes, like IoT devices, to make independent decisions with compressed knowledge of past blockchain history through the use of machine-learning for active decisions (or the first machine-intelligent blockchain protocol). Proposing to introduce machine-intelligence into the rapidly evolving paradigm …

Development And Testing Of High Strength Scalable High Entropy Alloys, Hans Jakob Pommerenke

Doctoral Dissertations

"High entropy alloys have shown promise through their ability to be tailored to specific scenarios. From highly corrosive environments to precipitation strengthened alloys to radiation environments high entropy alloys allow tailor made alloys for every solution. New compositions are developed and tested but little work focuses on the processing effect choosing rather than using processing as a steppingstone to achieve properties without investigating the processing effects. This work focuses on single phase face-centered cubic alloys strengthened by processing and precipitation strengthening. In conjunction with the development of these alloys, the ability to scale production will be investigated and characterized to …

Communication Modality And Activity Recognition In Smart Manufacturing, Haodong Chen

Doctoral Dissertations

"Advancements in sensors, computational intelligence, and big data have been rapidly transforming and revolutionizing the manufacturing sector, leading to robot-rich and digitally connected factories. To facilitate such a transformative process, workforce training and coordination between the human workforce and robots have remained a major challenge. This study aims to create intelligent workforce training systems for human-computer interaction and human-robot collaboration. It proposes the use of dynamic gestures and speech commands for seamless communication between a worker and a robot, leveraging Convolutional Neural Networks (CNN) and multiple threading for recognition and integration. Additionally, a fine-grained activity recognition model has been crafted …

Kinetic Modeling And Simulations Of Plasma-Surface-Dust Interactions For Lunar Exploration, David Clifford Lund

Doctoral Dissertations

"Due to the recent relevance of NASA’s focus on lunar missions, a better understanding of the lunar plasma-surface-dust environment is vital for their success. The lunar surface, devoid of an atmosphere and a global magnetic field, is directly exposed to solar radiation and solar wind plasma. This exposure leads to the electrical charging of the lunar surface due to the bombardment of solar wind plasma and the emission/collection of photoelectrons. Therefore, this research developed accurate and efficient computational models of plasma-surface-dust interactions and extend a legacy simulation code, namely the Immersed-Finite-Element Particle-in-Cell (IFE-PIC), to a parallel version: Parallel Immersed-Finite-Element Particle-in-Cell …

Efficient Modeling And Simulation For The Aerothermal Analysis Of Particle-Laden Hypersonic Flows, Andrew Hinkle

Doctoral Dissertations

"Standard approaches for simulating hypersonic flows in particle-laden environments have key limitations in practice, such as high cost and numerical noise. In this work, efficient solution strategies for particle-laden hypersonic flows were developed using both Lagrangian and Eulerian models for the particle phase with the focus on investigating spacecraft surface erosion, as well as convective and radiative heat flux augmentation due to atmospheric particulate encountered during planetary entry.

First, an efficient integration strategy for Lagrangian methods, the Trajectory Control Volume (TCV) method, was developed for steady analysis of dilute particle phase problems on general geometries. The TCV method was shown …

Optimization Of Fire Emergency Preparedness In Underground Mining Environments: An Agent-Based Evacuation Approach, Oluwafemi Babatunde Salami

Doctoral Dissertations

"Underground mining environments present a complex interplay of thermal and non-thermal hazards, with fires constituting a significant risk due to the release of heat smoke from incomplete combustion. The propagation of these hazards through the ventilation networks underscores the critical need for understanding fire scenarios and their interaction with the underground environment. Existing knowledge regarding past mine fire disasters, and quantification of associated hazards and risks are insufficient for optimizing emergency evacuation strategies in the event of an underground fire emergency.

This research endeavors to bridge this gap by developing advanced quantitative risk assessment and evacuation models tailored specifically for …

Investigation Of Wide Beam And Interfacial Shear Transfer In Reinforced Concrete Structures, Nikkolas Edgmond

Doctoral Dissertations

"The use of reinforced concrete (RC) allows for unique designs of structural elements and connections because of the ability to vary the geometry and reinforcement detailing with ease. However, this freedom in the design process can lead to specialized conditions that have not been extensively studied by means of experimental testing. This is especially true for components or regions of components that are subjected to high shear loads, which are susceptible to undesirable and brittle failures. While many studies have been conducted to investigate the shear behavior of RC structural members and components to determine the critical design parameters, these …

Investigation Wettability Contact Angle Using 2d Imaging Technology, Saleh Alsayegh

Doctoral Dissertations

"Investigation wetting preference of tight carbonate reservoir rocks and several other unconventional reservoir rocks, and their relation to oil production, is becoming noticeably important for field development in Kuwait, as in many future unconventional tight carbonate reservoirs in the Middle East. The overall objective of this investigating and modeling study is to discover many fundamental relationships from totality wettability preference as a tool for reservoir recovery predictions and management. The investigation includes advancing position of water wet preference into smaller capillaries of the matrix voids and incrementally more oil-wet into larger capillaries of natural fractures (NF). Also, investigating water/ oil …