Digital Commons Network^™

Power Resilience In Utah's Water Sector: A Survey Of Stakeholder Practices, Preferences And Potential, Tyler Christopher Peterson

Theses and Dissertations

Drinking water and wastewater services are vulnerable to disruptions because they rely heavily on the electric grid. As a result, power outages can lead to water outages, creating cascading failures that compromise sanitation, firefighting, healthcare, and daily routines. Although an important topic, there are little to no studies of water and wastewater power resilience at a geographic or state level. In this study we investigate the extent of existing backup power and renewable energy integration as well as the motivations and barriers around their power resilience. We collect our data through semi-structured interviews with staff at 19 urban and rural …

Reducing Foodborne Bacteria Public Health Burden By Novel Compounds And Pressure-Based Technologies, Junice Alannah Sibley

Tennessee State University Alumni Theses and Dissertations

Food safety strategies are being developed in the hopes of combating foodborne pathogens and their risks. Previous techniques and technologies are struggling to meet the needs of the public, leading to the demand for new, innovative methods. Mild high-pressure processing (HPP) of 350 MPa was used in a synergetic combination with mild heat of 60°C and the antimicrobial carvacrol for the decontamination of non-typhoidal Salmonella serovars that resulted in a >5 log CFU/mL reduction. Additionally, a secondary study was conducted comparing a single Salmonella Tennessee strain with a 4-strain Salmonella cocktail to examine sensitivity to pressure-based treatments resulting in a …

Cross-Domain Transfer Learning Of Tabular Data With Heterogeneous Feature Spaces, Kazi Fuad Bin Akhter

Tennessee State University Alumni Theses and Dissertations

Transfer learning is a cornerstone of artificial intelligence (AI), enabling the learning of new domains with limited labeled data by reusing knowledge from large-scale foundation models. Transfer learning has achieved remarkable success with vision and language models due to the homogeneity in image and text data. In contrast, a heterogeneous feature space, structured in rows and columns as tabular data, remains underexplored in the transfer-learning literature. The inductive bias of tabular data with heterogeneous feature spaces from disparate application domains is very different from image and text data, which complicates transfer learning. Several recent studies have attempted within-domain and limited …

Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka

Tennessee State University Alumni Theses and Dissertations

The growing scale and complexity of Internet-of-Things (IoT) edge networks complicate anomaly detection, particularly in identifying sophisticated Distributed Denial of Service (DDoS) attacks and zero-day behaviors under highly dynamic and imbalanced traffic conditions. This thesis proposes SD-CGAN, a Conditional Generative Adverserial Network optimzied with Sinkhorn Divergence as a geometry-aware one-class framework for robust IoT anomaly detection. SD-CGAN trains solely on benign traffic flows to learn a stable representation of normal traffic. To address class imbalance and improve the variety of the sample, we combine SD-CGAN with CTGAN-based synthetic data augmentation. Replacing the adversarial objective function with Sinkhorn Divergence yields smooth …

Evaluation Methods For Quality And Nutrition Of Recombinant Goose Liver Products, Liu Chang, Li Cuisi, Lin Wanling, Luo Donghui, Zheng Xinyi, Cui Xiaotong

Food and Machinery

[Objective] To analyse the quality evaluation methods for and nutrition evaluation of recombinant goose liver products. [Methods] Goose liver is used as the raw ingredient and combined with chicken breast, while tapioca starch, soybean protein isolate, and transglutaminase (TG) are added as auxiliary materials, to prepare recombinant goose livers.The CRITIC -grey correlation analysis is employed to comprehensively score the color, cooking loss, and texture characteristics of recombinant goose livers made with different formulas.Then, the best formula is screened for nutritional index observation and nutrition evaluation. [Results] The comprehensive score of recombinant goose livers is the highest at 208.93 with 15% …

Designing A Scalable Recruitment & Partnership System For The Leadership And Business Strategy (Lbs) Program Through Strategic Marketing And Brand Development, Daniela Padilla

Honors Theses

The Leadership and Business Strategy (LBS) program at Western Michigan University delivers a highly immersive experience that allows students to learn business by doing business. Students engage directly with executives, including CEOs, working alongside them on complex consulting projects with real companies. The program takes place at Sleeping Giant Capital, a Michigan-based private equity firm, where students operate in a real business environment and gain exposure to high-level strategy and decision-making. Yet despite its impact, many students only discover LBS after enrolling at the university. Student data reinforces this gap, showing that while most students know their intended major before …

Climate-Driven Flood Risk Mapping And Adaptive Strategy Modelling For Coastal Tamil Nadu, Sakthi Kiran Dr Mr

Theses and Dissertations

Background: Tamil Nadu’s coastal corridor (Cuddalore–Sirkazhi; ~2,740 km²) experiences recurring floods driven by climate change, rapid urban expansion, and inadequate drainage across low-lying deltaic terrain. Existing flood assessments remain largely reactive and rely on static methods that fail to incorporate future climate projections, demographic growth, and evolving urban patterns.

Methods: This research develops a dynamic, climate-resilient flood risk framework integrating (i) long-term hydroclimatic trend analysis (1984–2023), (ii) satellite-based flood hazard mapping using multi-temporal Sentinel-1A and RISAT-1A SAR, (iii) CORDEX REMO2015 (RCP 4.5)–driven HEC-RAS 2D hydrodynamic modelling, (iv) machine-learning-based susceptibility modelling (RF, DT, SVM), and (v) scenario-based evaluation of structural mitigation …

Mechanical Quality Of Hemp Fiber As Influenced By Tillage, Cover Crop, And Nitrogen Management In Regenerative Organic Systems, Parinaz Heydar, Alyssa Pierce, Gabriella Fioravanti, Ronald Kander

School of Design and Engineering Papers

Industrial hemp (Cannabis sativa L.) is an emerging crop for renewable fiber materials. For farmers, finding a balance between agronomic performance and economic return is crucial, especially when targeting specific markets like the textile industry, which values not just fiber quantity, but overall quality. This field study, conducted at the Rodale Institute in Kutztown, Pennsylvania, assessed the effects of tillage (till vs. no till), cover crop (with cover vs. no cover), and nitrogen (N) rate (0, 50, 100, 150 kg ha⁻¹) on hemp fiber yield, N concentrations in leaf and stalk, and mechanical performance under regenerative organic conditions. Fiber mechanical …

Quality Improvement (Qi) Project Aimed At Reducing 30-Day Hospital Readmissions For Patients With Congestive Heart Failure (Chf) Through Checklist Implementation, Gary Gutierrez

Seton Hall University Dissertations and Theses (ETDs)

Abstract

Congestive Heart Failure (CHF) remains a leading cause of preventable 30-day hospital readmissions,

especially in outpatient and transitional care settings. This quality improvement (QI) initiative was

launched within a private internal medicine practice in Essex County, New Jersey, to address this issue

by implementing a standardized CHF management checklist. The checklist focused on four key

components: (a) comprehensive medication reconciliation, (b) tailored patient education, (c) timely

follow-up appointments, and (d) improved interdisciplinary communication. By integrating evidence-

based practices into a structured workflow, the QI project aimed to improve care coordination,

empower patients to manage their condition, and reduce preventable …

Tuning Switch Performance For Single Molecule Electronics, Elaina I. Grogg

Longwood Senior Theses

In the field of single molecule electronics, chemical principles can be used to design molecules that are incorporated into metal-molecule-metal electronic junctions. Computational chemistry has been used to investigate changes in the performance of a single molecule switch. Changes in the on/off ratio of photoswitches due to the addition of electron-donating and electron-withdrawing substituents were observed. In many cases, the electrodes and electrode-molecule coupling have a more pronounced effect on the performance of the junction than other modifications within the molecule at the core of the junction. Chemical modifications on the molecular switch are used to demonstrate the ability to …

Toxic Behaviors In Higher Education Institutions: Examining Demographic Factors Affecting Faculty Perceptions, Patrice C. Elder

Tennessee State University Alumni Theses and Dissertations

This quantitative study examined the relationship between demographic factors and faculty perceptions of organizational toxicity at four-year higher education institutions. Using the Perceived Organizational Toxicity Scale (POTS), data were collected from 131 faculty members across Predominantly White Institutions (PWIs) and Historically Black Colleges and Universities (HBCUs). The study investigated four dimensions of toxic behaviors: narcissistic, aggressive, unethical, and rigid behaviors. Key findings revealed that unethical behaviors were the most prevalent form of organizational toxicity (M=2.59, SD=1.05), followed by narcissistic behaviors (M=2.32, SD=.93). Significant demographic differences emerged across academic rank and seniority. Assistant and associate professors reported significantly higher levels of …

Barriers And Challenges Faced By Minority Women Faculty Being Promoted At Hbcus, Denise Lorriane Young

Tennessee State University Alumni Theses and Dissertations

This mixed-methods study examined the barriers and challenges faced by minority women faculty at Historically Black Colleges and Universities (HBCUs) in their pursuit of academic promotion and career advancement. Grounded in Black Feminist Theory, the research employed an explanatory sequential design with 56 survey participants and three in-depth interviews across six HBCUs in the southern United States. The study addressed three research questions examining systemic barriers, intersecting identities, and cultural perceptions affecting promotional opportunities. Quantitative findings revealed significant barriers across career-related (M = 3.21) and educational-related (M = 2.47) dimensions, with notable differences between academic disciplines. Qualitative analysis identified five …

Privacy-Preserving Data Sharing For Learnable Encryption Artificial Intelligence In E-Health, Al Amin

Tennessee State University Alumni Theses and Dissertations

Healthcare AI requires large datasets for clinical-grade performance, yet privacy regulations prevent direct inter-institutional data sharing. While traditional federated learning (FL) enables collaborative training without centralizing data, it suffers from four critical limitations: accuracy degradation, gradient leakage vulnerabilities, high communication costs, and limited interpretability. Accordingly, the overarching research goal is to design a privacy-first FL framework for e-health that preserves clinical-grade accuracy on obfuscated data while substantially reducing information leakage, minimizing communication overhead, and enabling interpretable decision support without sharing weights, gradients, or raw pixels. This thesis systematically addresses these challenges through a three-method framework that progressively enhances privacy, efficiency, …

Bilstm-Based Zero-Aware Traffic Forecasting Using Lidar Data For Intersection Safety, Md Atiqur Rahman Mallick

Tennessee State University Alumni Theses and Dissertations

LSTM retains information from long-term data and is highly effective in generating time-based forecasts. Recently, BiLSTM has enhanced the precision of traffic predictions by assimilating information from both antecedent and subsequent directions via bidirectional data flow. BiLSTM demonstrates exceptional efficacy in the analysis of long-term traffic data. Our study presents a custom forecasting model that leverages advanced LiDAR sensor technology in combination with state-of-the-art deep learning techniques to improve road conditions. Eight LiDAR sensors were strategically deployed along the 26th Clarksville Pike corridor to collect high-resolution traffic data—including vehicle speed and count/flow—over the period from September 1, 2024 to November …

Genetics Of Aluminum Tolerance And Diversity In United States Vigna Unguiculata Germplasm, Max Carl Miller

Tennessee State University Alumni Theses and Dissertations

Cowpea (Vigna unguiculata L. Walp) is an annual legume of immense importance across the world. However, knowledge of its ability to tolerate aluminum (Al) at toxic levels is not as comprehensive. This stress is an issue globally and especially in the southeastern United States, which has many Al-toxic soils. Here we determined multiple cultivars both tolerant and susceptible to Al toxicity. This was expounded upon by employing RNA sequencing on two cultivars from the United States with significantly different tolerance levels to characterize genes and pathways associated with Al toxicity and response. Multiple well-established gene orthologs like STOP, STAR, and …

A Fault Tolerant Honeybee Behaviour Load Balancing Algorithm, Charmaine Adegbite

Tennessee State University Alumni Theses and Dissertations

Cloud computing enables flexible, scalable access to virtualised infrastructure but remains challenged by maintaining performance in fault-prone environments. Faults such as virtual machine failures can degrade task allocation and system reliability. However, traditional load balancing algorithms and bio-inspired strategies, including the Honeybee Behaviour Load Balancing algorithm, assume fault-free conditions. This thesis introduces a Fault-Tolerant Honeybee Behaviour Load Balancing algorithm that enhances the original Honeybee Behaviour Load Balancing algorithm by integrating fault detection. The proposed algorithm monitors the health of VMs and dynamically reallocates workloads when faults are detected which improves stability and reliability. The proposed fault tolerant algorithm was implemented …

Impact Of Cover Crops On Soil Hydraulic Properties And Water Dynamics, Sabin Shrestha

Tennessee State University Alumni Theses and Dissertations

Cover cropping has emerged as a climate adaptation strategy in sustainable agriculture to enhance agroecosystem resilience against weather extremes such as floods, droughts, and erratic rainfall patterns. But how well cover crops (CCs) can buffer crop yields against weather variability depends on their ability to regulate improvements in soil hydrology. Through a global meta-analysis of 1007 pairwise observations from 146 studies spanning across 34 countries, we investigated the overall effects of CCs on six key soil hydraulic properties and further examined how environmental and management factors moderate these overall responses. Results showed that CCs significantly improved total porosity by 7.7%, …

Macroscopic And In-Situ Atr-Ftir Spectroscopic Studies Of Metformin Adsorption On Soil, Maheen Mehnaz

Tennessee State University Alumni Theses and Dissertations

Emerging contaminants might pose serious threats to the soil and water environment. Metformin, an emerging micropollutant, is one of the most widely used drugs for type-2 diabetes treatment. However, its waste disposal through human excretion is causing environmental concern to the soil and water environment. Yet, knowledge about the interaction mechanism of metformin with soil remains very limited. In this study, we evaluated metformin adsorption mechanisms on model oxide minerals (gibbsite, hematite) and two Tennessee soils (Milan Loring soil and Cheatham County soil) and in the presence of soil micronutrient (molybdenum) using in situ attenuated total reflectance Fourier transform infrared …

Perceived Value Of Radiologic Technology Degrees Among Community College Students In Tennessee, Tiffanie Harris

Tennessee State University Alumni Theses and Dissertations

Abstract This study explored how adult alumni perceive the value of earning an Associate of Applied Science in Radiologic Technology from a northern Middle Tennessee community college. It examined four questions: (1) How do alumni perceive the financial return on investment (ROI)? (2) What non-financial benefits or challenges do they report? (3) How did the program influence their career readiness and workforce entry? and (4) How did institutional support or barriers affect their educational experience? Using a convergent mixed-methods design, 18 alumni from the 2021–2024 cohorts (85.7% response rate) completed a survey with Likert and open-ended items. Quantitative data were …

Agronomic Management Practices For Cbd And Fiber Hemp In Southeastern United States, Anand Kumar

Tennessee State University Alumni Theses and Dissertations

The farm bill of 2014 and 2018 legalized hemp (Cannabis sativa L.) production for cannabidiol (CBD), grain, and fiber uses in the U.S. Agronomic management practices for floral hemp for CBD production were not well studied. To optimize the agronomic management practices for high CBD content and THC concentration below the compliance level of 0.3% on a dry weight basis requires specific management and adaptability. A two-year field study was conducted at the Tennessee State University Agricultural Research and Education Center (TSU AREC) in Nashville, Tennessee, to evaluate two production systems, the Non-Chemical System (NCS) and the Chemical-Based System (CBS), …

Developing Four-In-One Genetic Engineering System To Improve Production Of Bioenergy In Sorghum, Oluchukwu Jecinta Onyemaobi

Tennessee State University Alumni Theses and Dissertations

Sorghum (Sorghum bicolor L.) is a C4 crop of significant agricultural and industrial importance, known for its high biomass yield, drought tolerance, and adaptability to marginal lands. However, the high lignocellulosic biomass content of sorghum, particularly its lignin component, poses a significant challenge for efficient biomass conversion. Genetic engineering offers a powerful approach to achieve such improvements by targeting the modification of lignin biosynthetic pathways. However, progress in sorghum genetic improvement has been hindered by the crop’s recalcitrance to genetic manipulation, transformation, and regeneration. To overcome these limitations, we developed a four-in-one genetic engineering technology for sorghum by establishing an …

Design And Development Of Rechargeable Cement-Based Batteries For Energy Storage Within Infrastructure, Dandan Yin

Tennessee State University Alumni Theses and Dissertations

This dissertation presented the design, fabrication, and evaluation of rechargeable cement-based batteries (CBB) for energy storage within infrastructure. The study aimed to integrate electrochemical energy storage directly into cementitious materials, enabling multifunctional and sustainable building systems. Nickel–iron electrodes and cement-based solid electrolytes to form durable, solid-state systems. The electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic charge–discharge tests，along with microscopic testing and mechanical testing analyses, were conducted to assess battery performance. The carbon fiber mesh CBB achieved stable cycling over 100 cycles with quasi-reversible redox behavior and a maximum areal energy density of 7.6 Wh m⁻². Nickel foam electrodes, with their …

Dynamic Urban Air Mobility Systems Modeling And Simulation, Amer M. Ibrahim

Tennessee State University Alumni Theses and Dissertations

The use of electrical vertical takeoff and landing (eVTOL) aircraft to provide efficient, high-speed, on-demand air transportation within a metropolitan area is an increasingly popular topic, which is expected to bring fundamental changes to cities. The concept of Urban Air Mobility (UAM) has the potential to make meaningful door-to-door trip time savings compared with other transportation. The capability to manage many of these eVTOL aircraft safely in a congested urban area presents an unprecedented challenge in air traffic management. In order to enable safe and efficient autonomous on-demand free flight operations in UAM, a computational guidance algorithm with collision avoidance …

First-In-Child Phase I Trial Of P-Stat3 Inhibitor Wp1066 In Pediatric Brain Tumor Patients, Robert C Castellino, Hope L Mumme, Andrea T Franson, Bing Yu, M Hope Robinson, Kavita Dhodapkar, Dolly Aguilera, Matthew J Schniederjan, Rohali Keesari, Zhulin He, Manoj Bhasin, Waldemar Priebe, Amy B Heimberger, Tobey J Macdonald

Faculty, Staff and Student Publications

Background: WP1066 is an orally bioavailable, small molecule inhibitor of activated p-STAT3 that has demonstrated preclinical efficacy in pediatric brain tumor models.

Methods: In a first-in-child, single-center, single-arm 3+3 design Phase I clinical trial, ten patients were treated with WP1066 twice daily, Monday-Wednesday-Friday, for 14 days of each 28-day cycle to determine the maximum tolerated dose (MTD)/maximum feasible dose (MFD) of WP1066. Compassionate use treatment with WP1066 in three pediatric patients with H3.3 G34R/V-mutant high-grade glioma (HGG) is also described.

Results: There was no significant toxicity and the MFD was determined to be 8 mg/kg. Treatment-related adverse events were Grade …

Effective Digital Marketing Strategies For Small Businesses, Shannon Springob

Walden Dissertations and Doctoral Studies

The inability of many small businesses to effectively use digital marketing is a critical challenge for small business owners. Small business owners who lack effective digital marketing strategies are at greater risk of facing failure. Grounded in the do-it-yourself (DIY) behavioral theory, this qualitative pragmatic inquiry was conducted to identify, analyze, and explore the effective strategies employed by small business owners in the development and implementation of effective digital marketing campaigns. The participants included six small business owners in the United States who have used DIY digital marketing strategies within their businesses. Data were collected using semistructured interviews. Thematic analysis …

Factors Affecting School Readiness And Level Of Distraction Among Black Children During Virtual Learning In The United States, Imani Barnes

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic necessitated an shift to mandatory virtual learning (VL) for kindergarten through grade 12 students, disrupting educational systems globally and exposing systemic inequities. Although researchers had explored health and education disparities separately, they had not adequately examined the intersection of child health, specifically body mass index (BMI) and health-affected ability, with school readiness and level of distraction in VL environments. The purpose of this quantitative, cross-sectional study was to examine associations between BMI, health affected ability, school readiness, and distraction levels among U.S. Black children engaged in VL in the 2020 school year, controlling for gender, age, and …

In-Situ Investigations Of Calcium-Magnesium-Aluminosilicates (Cmas) Infiltration Effects On Thermal Barrier Coatings Under Extreme Environments Replicating Jet Engines, Zachary Stein

Doctoral Dissertations and Master's Theses

Calcium-magnesium-aluminosilicate (CMAS) particulates, such as sand or volcanic ash, are ingested by gas turbine jet engines during operation. When operating within high abundance regions, these particulates negatively interact and degrade the high temperature thermal barrier coatings (TBC) protecting underlying superalloy turbine blades vital to engine operation. These CMAS particulates melt within the engine and infiltrate into the ceramic coatings. In electron-beam physical vapor deposited (EB-PVD) TBCs, the CMAS within the intercolumnar gaps stiffens the coatings and causes thermomechanical induced high stress concentrations, risking crack formation. While molten, the CMAS thermochemically alters and destabilizes the coating, also risking coating failure. Premature, …

Parameter Informed Reinforcement Learning For Vehicle System Identification, Nathan Schaff

Doctoral Dissertations and Master's Theses

Accurate system identification is essential for modeling and controlling vehicle dynamics. This dissertation explores the application of Parameter Informed Reinforcement Learning (PIRL) as a novel approach to system identification (SYSID). PIRL integrates prior system knowledge, such as physical parameters, into reinforcement learning (RL) frameworks to improve estimation accuracy. The study begins with an overview of traditional SYSID methods and then introduces PIRL as a modification of standard RL. The research applies PIRL to short-period aircraft dynamics, demonstrating its effectiveness in both offline and online learning frameworks. The dissertation then further explores PIRL’s utility in an indirect model reference adaptive control …

Evaluation Of Internal Field In Ppln And Studies On Qpm Shg Efficiency Factor, Prasath Rk Mr

Theses and Dissertations

Periodically Poled Lithium Niobate (PPLN) crystals have attracted interest in optoelectronics and nonlinear optics. The response to the applied electric field is determined by their larger electro-optic and nonlinear optical coefficients. An internal electric field exists in congruent PPLN crystals due to its defects. Its evaluation is important in controlling the electro-optical behavior. A simple nondestructive diffraction method is proposed to estimate the internal electric field present in the congruent lithium niobate crystal.

Due to the presence of an unrelaxed internal field, the as-poled sample acts as an index grating. When a light is incident on such a sample, it …

Patterns Of Historical And Contemporary Distribution And Occurrence Of Imperiled Fish Populations In East Texas Streams, Maggie F. Moses

Electronic Theses and Dissertations

East Texas supports a very diverse freshwater fish fauna, yet many of these species are listed as Species of Greatest Conservation Need (SGCN). In this study, I investigated historical and contemporary distribution trends of ten fish species listed as SGCN within the Neches, Sabine, and Cypress River basins in East Texas. Specifically, I examined regional and local environmental variables influencing their distributions and occurrences at both time periods. At the regional scale, I developed ecological niche models (Maxent) using occurrence data from 1940–1999 (historical) and 2000–present (contemporary, including surveys from 2023–2025) to evaluate changes in habitat and identify key regional …