Digital Commons Network^™

Design And Evaluation Of Antibody-Conjugated Microneedle Patch For Early Mrsa Biomarker Detection, Kylee Marie Pop, Alexis Richie, Nicholas Jenkins, Andrew Holmes

Honors Theses

Post-operative orthopedic surgical site infections (SSIs), specifically those caused by methicillin resistant Staphylococcus aureus (MRSA), present a significant clinical challenge due to delayed detection, increased morbidity, and current rising healthcare costs. Early detection of infection remains limited due to the current methods of diagnosis, which consist of observation of the surgical site and laboratory infrastructure for conformation of infection. To combat these issues, my team and I have designed and evaluated a minimally invasive microneedle diagnostic patch that continuously monitors for the presence of MRSA-associated biomarker PBP2a in interstitial fluids around surgical site incisions. Upon antigen detection, a colorimetric response …

Assessing The Fate Of Antibiotic Resistance Genes In Wastewater Treatment Processes, Gunter A. Campbell

Civil Engineering Undergraduate Honors Theses

The increasing need for clean water has paved the way for the creation of systems for reusing water, such as wastewater treatment plants (“WWTPs”), to provide potable water. But in recent years, such systems have raised concerns about the distribution of antibiotic resistance genes (“ARGs”). Bacteria are adapting to antibiotics by the evolution of resistance mechanisms, such as high mutation rates and horizontal transfer. The presence of ARGs, particularly tetracycline ("tetA") resistance genes, in wastewater effluents is of concern, as they can survive treatment, spread to bodies of water, and pose a threat to human health. In this study, the …

Urban-Rural Dynamics And Dui Fatalities In The Inland Empire: A Neural Network Analysis Of Traffic Safety Disparities, Armando Ceja-Lua

Electronic Theses, Projects, and Dissertations

This study examines the disproportionately high traffic fatality rates in California's Inland Empire region through neural network analysis of over 500,000 accidents (2013-2022). We argue that the Inland Empire's unique hybrid urban-rural landscape creates a multiplicative risk environment unlike other California regions. Our analysis reveals that San Bernardino County's fatality rate (1.920 per 100 million VMT) significantly exceeds neighboring regions, with alcohol-impaired driving fatalities (0.586) substantially higher than California's average (0.390). Neural network models (92% validation accuracy) identify pedestrian-involved collisions (correlation value 0.164) and alcohol involvement (0.075) as the strongest predictors of fatality in urban areas, while rural crash patterns …

Optimizing Lightweight Authentication Protocols For Enhancing Security In Resource-Constrained Iot Devices, Anuj Jayeshbhai Naik

Electronic Theses, Projects, and Dissertations

IoT devices are increasingly being used in critical applications such as smart cities, healthcare, and industrial systems. However, due to their limited processing power, memory, and energy, traditional authentication methods are not suitable in these resource-constrained scenarios. To construct and evaluate a lightweight authentication system for such devices, this study incorporates secure, efficient cryptographic techniques. The following are the research questions: Q1) How can a hybrid lightweight authentication protocol that includes ECC and AES be used to safely and successfully link resource-constrained IoT devices? Q2) How can nonce-based challenge-response approaches to protect against replay threats be used to create lightweight …

Development Of Rolipram Loaded Pgp Nanoparticles For Spinal Cord Injury Repair, Zhen Liao

All Dissertations

Spinal cord injury (SCI) leads to devastating neurological deficits due to primary mechanical damage and secondary injury mechanisms, including inflammation, oxidative stress, excitotoxicity, and inhibitory scarring, which collectively impede neural regeneration. One key aspect of SCI pathology is a significant reduction in cyclic adenosine monophosphate (cAMP) levels, primarily due to increased phosphodiesterase (PDE 4) activity. As a ubiquitous second messenger, cAMP regulates key signaling pathways, including protein kinase A (PKA) / cAMP response element-binding protein (CREB) and exchange protein activated by cAMP 2 (EPAC2). Therefore, restoring/increasing cAMP level is one of the major therapeutic strategies to reduce neurotrauma and restore …

Adaptive Delay Compensation Frameworks For Distributed Real-Time Co-Simulation In Power Systems, Elutunji Buraimoh

All Dissertations

This dissertation presents a model-free, adaptive delay prediction and compensation framework for geographically distributed real-time power system co-simulation environments. Communication delays—both constant and real-time-varying—significantly degrade the accuracy, fidelity, and stability of co-simulated systems, particularly in dynamic and transient analyses of partitioned power systems. To address this, a predictor-based framework is developed that compensates for delays without requiring system models, computationally intensive signal transformations, or manual intervention.

The proposed solution leverages a Damping Impedance Method as the interface algorithm, combined with a sliding-mode control-inspired predictor system. Both single-parameter and multi-parameter predictor configurations are implemented, with the multi-parameter design providing an additional …

Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald

All Dissertations

Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …

Ex Vivo Multiplex Knockdown Of Angptl3 And Cypor In Hepatocytes As A Novel Cell Therapy For Familial Hypercholesterolemia, Callie D. Clark

All Dissertations

Inherited metabolic diseases (IMDs) affect approximately 1 in 800 individuals. The only curative treatment for IMDs is liver transplantation. However, transplantation carries significant risks, including organ rejection and a lifelong need for immunosuppression. Therefore, gene editing has emerged as a promising alternative to liver transplantation for treating IMDs.

Familial hypercholesterolemia (FH) is and IMD characterized by elevated LDL-C levels resulting in premature cardiovascular disease. CRISPR-Cas9-mediated gene editing to disrupt the gene encoding angiopoietin-like 3 (ANGPTL3) in the liver represents a novel therapeutic approach for FH. Nonviral delivery performed ex vivo is safer than systemic delivery because gene editing is in …

The Role Of Ai In Enhancing Teamwork, Resilience And Decision-Making: Review Of Recent Developments, Satyadhar Joshi

Harrisburg University Other Works

This paper explores the transformative impact of artificial intelligence (AI) on organizational teamwork, decision-making, and resilience. This paper furthur reviews recent literature on the integration of Artificial Intelligence (AI) in various organizational functions, focusing on its impact on innovation management, leadership paradigms, and organizational resilience. We provide groundwork required to enhance frameworks that can integrate cognitive scaffolding with antifragile team dynamics, employing behavioral economics and neurocognitive principles. We introduce methodologies for enhancing team resilience through adaptive AI systems, cross-training interventions, and pre-mortem simulation techniques. The framework addresses key challenges in confirmation bias mitigation, cultural dimension alignment, and vigilance decrement prevention. …

Investigating The Effects Of Hepatocyte Growth Factor On Primary Myoblast Proliferation, Grace Heller

Biomedical Engineering

Peripheral artery occlusive disease (PAOD) is a progressive vascular condition that affects over 200 million people worldwide and approximately 8 million in the United States. It is characterized by atherosclerotic narrowing of peripheral arteries, leading to reduced blood flow, ischemia, and, in severe cases, tissue loss and limb amputation. Although surgical revascularization is the gold standard, many patients—particularly those with comorbidities like diabetes— continue to experience poor outcomes, emphasizing the need for alternative therapies. One promising strategy is to enhance collateral arteriogenesis, the remodeling and enlargement of collateral arterioles that naturally bypass occluded vessels. Satellite cells (SCs), which give rise …

Assessment Of Energy Efficiency Measures Recommended For Industrial Facilities: Environmental, Economic, And Life Cycle Perspectives, Dariush Jafari

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This study assesses the economic, environmental, and life cycle impacts of more than 800 industrial Energy Efficiency Measures (EEMs) identified in manufacturing facilities across Nebraska. These EEMs are notable for their rapid implementation and minimal disruption to the facility’s building structure or core processes.

The research evaluates the financial viability of EEMs by analyzing utility savings, implementation costs, and payback periods. It also examines their cost-effectiveness in reducing greenhouse gas (GHG) emissions, including calculations of net cost and cost of mitigated CO₂-eq.

Key findings indicate that adding insulation to hot pipes and buildings, replacing personal fans with High-Volume, Low-Speed (HVLS) …

A Framework For Quantifying The Benefits Of Electric Vehicle Infrastructure Development, Donya Negahbani

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Under the Biden Administration’s Justice40 Initiative, a significant portion of benefits derived from federal clean transportation investments is required to be directed to disadvantaged communities. Meeting this mandate necessitates a transparent and reproducible approach that quantifies various dimensions of value and allocates them equitably. This dissertation presents a flexible framework specifically tailored for the deployment of electric vehicle charging infrastructure in Nebraska, effectively translating equity goals into rigorous spatial and economic analyses. The framework first identifies multiple distinct categories of benefit that reflect the societal value of charging access: energy savings, economic opportunities, environmental quality enhancements, and public health improvements. …

Understanding The Role Of Ligamentous Constraint In Trapeziometacarpal Pathomechanics, Lizzie Walker

All Dissertations

The trapeziometacarpal (TMC) joint is the most common site for osteoarthritis (OA) in the upper limb. This joint is characterized by its wide range of motion and limited bony stability, making it susceptible to OA. The TMC joint relies mostly on ligaments and muscles for its static and dynamic stability, respectively. While importance of both volar and dorsal capsular TMC stabilizers has been demonstrated, the role of TMC ligamentous tissues in the development of thumb basal joint OA remains unclear.

The goal of this work was to identify morphometric and mechanical changes in key TMC ligament stabilizers, including the volar …

Grid Forming Inverters For Microgrid Operation Enhancement, Jan Westman

All Dissertations

Modern electric power systems are confronted with several major challenges including the increasing frequency and severity of weather events, aging infrastructure, high material costs, cyber-attacks, and substantial delays in global supply chains. Microgrids provide a solution to these challenges by insulating customers from the power outages occurring in their local distribution system. A microgrid is a small independent power system with its own power generation and energy storage resources that can supply customers’ electricity needs. When an outage occurs, a circuit breaker will disconnect the microgrid from the distribution system. Successful operation of the microgrid requires one or more devices …

Understanding Dimensional Stability Of Polymer Surgical Mesh, Simeon J. Mckelvey

All Dissertations

Polymer surgical mesh is a biomedical implant that has revolutionized the repair of the abdominal wall and pelvic floor. Each year, over 1.6 million Americans undergo surgical procedures using polymer surgical mesh to treat conditions where internal organs protrude through weakened tissues. This material is used in approximately 90% of hernia repairs, 80% of stress urinary incontinence procedures, and 30% of pelvic organ prolapse surgeries.

Despite this widespread use of polymer surgical mesh, post-implantation complications have prompted regulatory investigation and scrutiny. These complications stem from the mesh's behavior within the human body, including wrinkling, contraction, and loss of fixation, which …

Real-Time Active Thermal Management And Degradation Forecasting Of Power Electronics Building Blocks In All-Electric Ships, Ali Moghassemi

All Dissertations

With advancements in semiconductor technology, power electronic devices play a critical role in modern power systems, enabling efficient energy conversion in applications such as renewable energy integration, electric vehicle drives, industrial automation, and Navy ship power systems. However, the increasing use of power converters presents challenges such as harmonic reduction, cost optimization, reliability improvement, and thermal management, especially in weight- and space-constrained environments like wind turbines and shipboard systems. High-frequency switching, while reducing passive filter size, increases thermal stress on semiconductor devices, impacting efficiency and longevity. Active thermal control, which regulates junction temperature through power loss management, and degradation forecasting, …

Integrating Artificial Intelligence For Transportation Cyber-Physical Systems: From Detection To Cyber Resilience, Reek Majumder

All Dissertations

This dissertation investigates different methods for methane detection using unmanned aerial vehicles (UAVs). The author addresses the fundamental problem of methane emissions, a potent greenhouse gas responsible for global warming. The first part of the dissertation aims to create a cost-effective system for real-time methane detection and intensity prediction using ensemble learning models trained on meteorological parameters. The ensemble learning-based classification models show a high accuracy for methane detection.

The second part of the dissertation investigates cyberattack detection for UAVs using a graph-based intrusion detection system (IDS) for controller area networks (CAN). This lightweight, protocol-independent IDS uses graph-based machine learning …

Integrating Blockchain Technology Into Telemedicine: A Framework For Enhancing Data Privacy And Security, Harsha Sammangi, Aditya Jagatha, Jun Liu

Research & Publications

This paper presents a blockchain-based framework designed to enhance data privacy, integrity, and security in telemedicine systems. The proposed architecture employs distributed ledger technology to ensure transparency, traceability, and immutability of patient data exchanges among healthcare providers. Smart contracts automate access permissions and auditing processes, reducing the risks of unauthorized data sharing. The study evaluates the framework’s performance in secure data handling, highlighting blockchain’s role in fostering patient trust and resilience against cyberattacks in remote healthcare environments.

Computationally Guided Liquid Crystal-Based Competitive Binding Sensing Platform For Optical Detection Of Spike Protein, Homa Ghaiedi, Shubham Pandey, Sophia Ezendu, Tibor Szilvasi, Karthik Nayani

Chemical Engineering Faculty Publications and Presentations

A liquid crystal (LC)-based sensing platform for the rapid optical detection of SARS-CoV-2 ' s spike protein's receptor binding domain (RBD) domain is introduced. This platform utilizes a thermotropic LC, hosted on metal-cation decorated substrates, onto which the spike protein can competitively bind. Density functional theory (DFT) calculations guide the experiments that reveal a homeotropic-to-planar transition in the LCs upon exposure to SARS-CoV-2 spike-decorated yeast, providing a basis for sensitive virus detection. The sensor's reversibility/specificity is confirmed through antibody-induced orientation recovery of the LCs initial orientation. Strikingly, the sensor can detect approximate to 2000 copies of the spike protein per …

Networked Multi-Agent Deep Reinforcement Learning Framework For The Provision Of Ancillary Services In Hybrid Power Plants, Muhammad Ikram, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a significant challenge for frequency control services. This paper presents a novel networked multi-agent deep reinforcement learning (N—MADRL) scheme for optimal dispatch and frequency control services. First, we develop a model-free environment consisting of a photovoltaic (PV) plant, a wind plant (WP), and an energy storage system (ESS) plant. The proposed framework uses a combination of multi-agent actor-critic (MAAC) and soft actor-critic (SAC) …

Intelligent Crowdsourcing Based On Online Social Networks, Adedamola Adesokan

Electrical and Computer Engineering ETDs

The prevalence of Online Social Networks has completely changed how individuals communicate and cooperate. This dissertation explores the integration of intelligent crowdsourcing mechanisms into OSNs, focusing on game theory, reinforcement learn- ing, and social network dynamics to enhance the allocation of tasks, participation by users, and distribution of rewards. It proposes several models that utilize trust- based models, hedonic coalition games, and influencer dynamics for optimization of crowdsourcing. The major challenges to be addressed include task selection, reward distribution, and incentivizing participation, taking into consideration aspects re- lated to social influence, trust, and user engagement. The models so proposed have …

Aircraft Water And Waste Systems Curriculum Alignment For Updated Airmen Certificate Standards (Acs), Myles Miller

All Graduate Reports and Creative Projects, Fall 2023 to Present

The purpose of this project was to create a curriculum that aligns with the updated Airmen Certificate Standards (ACS) related to aircraft water and waste systems. The curriculum was designed to align with the FAA standards outlined in the ACS section II. Airframe Subject O. Water and Waste Systems. The curriculum includes components, operation, inspection, and servicing requirements for potable water and lavatory waste systems. The curriculum should equip students with the ability to identify, assess, and mitigate risks associated with lavatory waste systems, and the ability to locate and explain the procedures for servicing water and waste systems. The …

Designing And Modeling An Exoskeleton Mobility Device For Individuals With Paraplegia, Dan O'Crowley

All Graduate Reports and Creative Projects, Fall 2023 to Present

The objective of this project is to design and develop a lightweight mobility exoskeleton for individuals with paraplegia that enables transportation of the user in a standing position, supports the user during the sitting to standing transition, and can be loaded by the user into a vehicle. A device like this has the potential to mitigate many negative health impacts of seated mobility devices, reduce social barriers, increase job opportunities for the user, and improve independence, while providing cost savings for the users and the healthcare system.

The system consists of a 3-linkage inverted pendulum with motors at the knee …

Analyzing Microalgae-Bacteria Population Changes In Response To Environmental Parameters For Improved Wastewater Treatment, Amanda M. Moravek

All Graduate Theses and Dissertations, Fall 2023 to Present

Microalgae are incredible organisms that have a variety of uses such as wastewater treatment, fertilizer, livestock feed, and bio-compound production. Microalgae require a light source and minimal nutrients space to proliferate, making them an environmentally friendly and sustainable option for such processes. The Sustainable Wastes-to-Bioproducts Engineering Center at Utah State University is developing and implementing a Rotating Algae Biofilm Reactor (RABR) to remove total nitrogen and phosphorous from the Central Valley Wastewater Reclamation Facility wastewater effluent. Harmful compounds such as nitrates and phosphates are metabolized by the microalgae and converted into useful bioproducts, resulting in a circular economy. These RABRs …

Scheduling Charging For Fleets Of Battery Electric Vehicles: Techniques For Modeling And Real-Time Operation, Justin J. Whitaker

All Graduate Theses and Dissertations, Fall 2023 to Present

While electric vehicles (EVs) are becoming increasingly popular and can provide cost, maintenance, and environmental benefits, they present unique challenges for regular operation, especially in fleets of vehicles. The limited range, long charging times, and high power requirements of EVs complicate the operations of fleets comprised of EVs. Additionally, the charging costs of EVs can be complex, depending on the time of charging, the energy charged, and the power level of the charging session. These complex charging costs can be significantly affected by the presence of uncontrolled loads. These challenges are further complicated by the inevitable variations in the real …

Effects Of Light Intensity On Algae Biofilms In Rotating Algae Biofilm Reactors (Rabr), Joshua D. Wintch

All Graduate Theses and Dissertations, Fall 2023 to Present

There is a growing need for economically and ecologically friendly wastewater treatment processes. Utilizing natural algae biofilms to remediate excess nitrogen and phosphorus from municipal wastewater is a treatment technique of academic interest. Utilizing natural algae in rotating algae biofilm reactors (RABR) is a potential engineering application of algae biofilms for municipal wastewater anaerobic digestor effluent treatment. The ideal reactor operation would use sunlight as the light source for algae growth, however, there is little academic research on algae biofilm growth productivity across natural sunlight light intensity ranges. This research seeks to understand the relationship between rotating algae biofilm reactor …

Quantifying The Threshold For Fragmentation Of Newtonian And Non-Newtonian Drops, Aditya Parik

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation investigates how the properties of liquid drops influence the minimum aerodynamic forces needed to cause the drop to fragment (breakup). For this work, we focus only on aerodynamic forces that are applied on a stationary drop by a sudden, uniform flow, a process called impulsive acceleration. Previous studies have largely focused on the fragmentation of spherical drops of Newtonian fluids (liquids with constant viscosity, like water), when impulsively accelerated in air-like ambient medium. Such systems only capture a limited range of drop and ambient properties (described by non-dimensional groups). Many real-world applications, such as aerial fire retardant delivery, …

Sensitivity Analysis Of A High-Power Wireless Power Transfer Charging Pad For Heavy-Duty Electric Vehicles To Inform Thermal Management, Jorge A. Hernandez-Ramiro

All Graduate Theses and Dissertations, Fall 2023 to Present

As the world shifts to net zero carbon emissions, many challenges lie ahead. Currently, heavy-duty vehicles produce a large amount of pollutants that are released into the air, affecting air quality in small and large cities. Transitioning heavy-duty vehicles, such as trucks and buses, into electric vehicles can help resolve this problem.

Electric vehicles and the infrastructure to support them are becoming a viable solution to combating climate change. By no means is electrification perfect yet. Concerns like range anxiety have made the transition to electrifying transportation a slow process. However, implementing Wireless Power Transfer (WPT) charging pads is a …

Exploring Variations In High-Resolution Downstream Hydraulic Geometry Of The Logan River, Gabriel V. Benitez

All Graduate Theses and Dissertations, Fall 2023 to Present

Rivers are dynamic systems that change shape due to natural events like floods, landslides, and wildfires, as well as human-made structures like bridges. These changes create unique and complex river patterns. However, measuring these changes accurately is challenging because traditional field surveys are time-consuming and often focus on easily accessible areas, which may not represent the whole river. Thanks to new high-resolution mapping technology and detailed river flow records, we can now see these changes in greater detail than ever before.

In this study, we focused on the Logan River, which flows through a canyon with a mix of rocky …

Uv-A Light And Heat-Activated Antimicrobial And Biodegradable Materials For Food Packaging And Preservation, Michael J. Bodily

All Graduate Theses and Dissertations, Fall 2023 to Present

Current food packaging materials are often non-biodegradable and harmful for ingestion, which poses a threat to the environment and public health. Thus far, the dangers of microbial contamination of food on human health have outweighed the risks associated with using these conventional packaging plastics. A possible solution to these issues is to use a combination of innovative materials and microbial inactivation methods that can potentially both reduce plastic waste and combat harmful microorganisms. In this study, two antimicrobial, biodegradable composites were developed and tested for their ability to inactivate two types of bacterium, Escherichia coli K12 and Listeria innocua, …