Digital Commons Network^™

Learning Social Fairness Preferences From Non-Expert Stakeholder Opinions In Kidney Placement, Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddardh Nadendla, Casey I. Canfield

Computer Science Faculty Research & Creative Works

Modern kidney placement incorporates several intelligent recommendation systems which exhibit social discrimination due to biases inherited from training data. Although initial attempts were made in the literature to study algorithmic fairness in kidney placement, these methods replace true outcomes with surgeons' decisions due to the long delays involved in recording such outcomes reliably. However, the replacement of true outcomes with surgeons' decisions disregards expert stakeholders' biases as well as social opinions of other stakeholders who do not possess medical expertise. This paper alleviates the latter concern and designs a novel fairness feedback survey to evaluate an acceptance rate predictor (ARP) …

Book Review: Wapsipinicon Almanac: Selections From Thirty Years, Andy Oler

Publications

The Wapsipinicon Almanac: Selections from Thirty Years, edited by Timothy Fay. Iowa City: University of Iowa press, 2023. xi, 249 pp. Illustrations. $27.50 paperback.

Preempting The Buzz: Challenges For State And Local Regulation Of Drone Noise, Daniel Friedenzohn, Trevor Simoneau

Publications

From carrying life-saving medical supplies to delivering Amazon packages, drones are increasingly playing a more significant role in our society. Such operations, however, raise a variety of legal and public policy questions, all requiring answers before drone deliveries become commonplace in the package delivery ecosystem. One legal issue that remains significantly underexplored is the challenge of regulating drone noise. This issue raises vital questions of federalism and preemption in the broader debate over federal versus state and local power to govern different aspects of civilian drone operations.

Even though the noise generated by drones is much quieter than other types …

Validating The Critical Teaching Behaviors Midterm Feedback Instrument For Enhanced Teaching Effectiveness And Student Engagement, Claudia Cornejo Happel, Chad Rohrbacher, Teha Cooks, Jenna Korentsides, Joseph R. Keebler, Carmen Van Ommen, Kimberly N. Williams, Lauren Barbeau

Publications

This study, conducted at a private STEM university in the Southeastern United States, presents a series of qualitative and quantitative data validating the Critical Teaching Behaviors Midterm Feedback Instrument (CTB-MFI). The instrument’s validity and reliability were tested through a mixed-methods approach involving faculty surveys, statistical analyses, and a student experience survey and focus groups. A confirmatory factor analysis (CFA) suggests that the CTB-MFI model has excellent fit across multiple indicators, as well as excellent convergent validity. However, low discriminant validity indicates possible correlations between categories of critical teaching behaviors. Data further show that faculty and students perceive the instrument as …

Comprehensive Investigation Of Using Tire-Derived Aggregate In Chip Seal Subjected To Various Traffic And Environmental Conditions, Alireza Pourhassan

Doctoral Dissertations

"Chip seal is one of the most cost- and performance-effective pavement preservation treatments commonly used in the United States. Using crumb rubber obtained from scrap tires as a partial or full replacement for mineral aggregate has been proposed as a sustainable solution to reduce the negative environmental impacts of scrap tire accumulation and excessive consumption of natural resources. However, there was no data available regarding the performance of rubberized chip seal under traffic loads and environmental conditions. An extensive study using laboratory specimens and conditioning as well as field implementation and assessments were conducted to bridge this gap. Different traffic …

Reducing Emergency Department Decision To Admit To Disposition Time Using The Sydney Triage To Admission Risk Tool, Jolyn Sackmann

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: Long emergency department (ED) length of stay (LOS) is associated with increased mortality, delay in care, longer inpatient (IP) stays, readmission risk, poor patient satisfaction, and opportunity for error. Within the ED LOS is a quality indicator measuring the time a provider determines a patient will be admitted to the time the patient leaves the ED for an IP unit, called ED-2. Prolonged ED-2 indicates impaired ED output.
/="/">Local Problem: Despite previous interventions, the ED-2 at a rural Midwest hospital was about 63.5 minutes; the goal set forth by the Centers for Medicare and Medicaid is 35 minutes …

Field Scale Evaluation Of A Flow-Through Filtration System With Mixed Media To Remove E. Coli From Stormwater, Ankur Debnath

Electronic Theses and Dissertations

The main goal of this research was to establish a field-scale stormwater filtration system which is flow-through and cost-effective in terms of construction and maintenance. The filter is constructed in a downstream drainage of a retention pond where the stormwater goes through the porous space of media so that it maintains low retention time with minimum disturbance in flow. The filter consists of two 20ft long sections with concrete channel and ripraps on the inlet & outlet side. 30% Steel chips and 70% steel slags in the size range of 6.00-12.5 mm have been used as media which has been …

Development And Characterization Of Transparent Soil Using Biodegradable Polysaccharides, Said Badshah

Electronic Theses and Dissertations

No abstract provided.

Using The Microbiome To Assess The Health Status Of The Individuals Recovered From The East Marshall Street Well, Arian Karim

Master of Science in Forensic Science Directed Research Projects

In 1994, during the construction of the Kontos Building on the Medical College of Virginia Campus, a well on East Marshall Street was discovered to contain artifacts and human remains of African descent. Upon archaeological analysis by the Smithsonian, the ancestral remains can be dated back to the mid-19th century, when grave robbing and the use of cadavers for anatomical purposes [BS1] in medical schools were common. The human oral microbiome is the second largest human microbiota, containing over 600 species of organisms. Dysbiosis of the oral microbiome can lead to the overgrowth of pathogenic species, resulting in illness and …

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 …

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 …

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 …

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 …

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 …

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 …

Investigating The Potential Of Blended Feedstocks For Biofuel Production Via Pyrolysis Process: Experimental And Aspen Simulation Approach, Hasan Jawad Hammood Al-Abedi

Doctoral Dissertations

"The development of renewable energy sources has become increasingly urgent considering the climate crisis and the need to reduce greenhouse gas emissions. Pyrolysis, which is decomposition of an organic feedstock without oxygen, is a thermo-chemical process that has garnered significant attention as a promising technology for sustainable energy production, capable of converting biomass and waste materials into biofuels.

The primary objective of this study is to investigate the pyrolysis and co-pyrolysis behaviors of corn stover (CS), refuse-derived fuel (RDF), and oil shale (OS) in equal mass ratios. Utilizing a thermogravimetric analyzer and differential scanning calorimetry (DSC), the co-pyrolysis process is …

Development Of A Comprehensive Multi-Factored Methodology For Identification Of Landslides In The Buffalo National River Of Arkansas, Abdurraouf Okok

Doctoral Dissertations

"In northern Arkansas's Springfield and Boston Mountain Plateaus, distinctive geomorphological landslide features have shown historical continuity. USGS topographic maps (1:24,000, 7.5-minute series) serve as valuable resources for studying terrain characteristics and hydrological patterns.

This study uses a manual mapping approach with high-resolution LiDAR data and geological maps in a GIS environment. The method identifies historic landslide features by analyzing anomalous topographic contour patterns overlaid on LiDAR-derived hillshade maps, revealing various mass movements along the Buffalo National River. Data from the Office of State Geologist and fieldwork reconnaissance were utilized to map older landslide features with high confidence. Some previously unrecognized …