Digital Commons Network^™

Equity And Justice In Water Pricing And The Effects On Water Distribution System Management, Brian Barkdoll

Michigan Tech Publications

Equity regarding access to potable water is paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling was performed for 15 real MDWSs. A new power-law price-usage elasticity curve, entitled the Power Law Elasticity Function (PLEF), was used that allowed for various users, both high- and low-income, and a non-discretionary level of usage. It was found that: (1) the maximum profit was obtained when the price was approximately 0.8 …

Empowering Change From The Ground Up: Women’S Entrepreneurship In Sub-Saharan Africa’S Informal Sector, Rita Abban, Esi A. Elliot

International Business and Entrepreneurship Faculty Publications

Women’s entrepreneurship in Sub-Saharan Africa (SSA) is a critical driver of socio-economic development, within the informal sector where women enterprises are concentrated. Despite substantial contributions, structural and institutional barriers impede the formalization of these businesses, curbing their economic impact. This study examines how women entrepreneurs in Ghana and SSA navigate informal practices to achieve economic mobility. Employing a systematic literature review - PRISMA framework, the research synthesizes key themes including entrepreneurial capacity, sustainability, intellectual property, and institutional support. A comparative lens incorporating Rwanda and South Africa reveals Ghana’s high rate of female entrepreneurship, predominance of informal trade, and socio-cultural dynamics …

Multi-Scale Drivers Of Beetle Biodiversity In A Rapidly Urbanizing Region, Alessandra Pandolfi

Graduate Studies Theses and Dissertations 2026

As cities continue to expand, designing urban landscapes that balance ecological resilience with biodiversity conservation has emerged as a pressing challenge. This dissertation examines urban ecosystems as complex and dynamic environments shaping plant and animal communities, with a particular focus on ground-dwelling beetles as ecologically significant indicators of environmental change. Conducted across the Orlando metropolitan area, one of the fastest-growing regions in the United States, this dissertation integrates experimental and observational approaches. Specifically, it aims to (1) test sustainable landscaping practices, (2) compare the ecological outcomes of conventional and alternative residential landscape designs, and (3) assess how gradients of urbanization …

Deep Learning Framework For Sow Posture Classification From Depth Images: Comparison With Data Transformation Techniques, Models, And Cross-Validation, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Suzanne M. Leonard, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Piglet preweaning mortality (PWM) in the United States averages ≈14–15%, with sow overlaying causing about one third proportion of these losses. This research aimed to develop and evaluate deep learning models to classify six sow postures using depth images to monitor behaviors linked to overlaying risk. Top-down depth images were captured with Kinect V2^® cameras at 10 frames min^-1 for five consecutive days (2 days before to 2 days after farrowing), yielding 26,506 training images from 18 sows, 17,901 testing images from 12 sows, and 4,697 additional images from three sows in diagonal stalls for external validation. Three …

Assessment Of Soybean Response To Irrigation Variability In Eastern Nebraska Using The Aquacrop Model, Anmol Singh, Saleh Taghvaeian, Yufeng Ge, Derek M. Heeren, Frank Bai

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Soybean [Glycine max (L.) Merr.] is a major irrigated crop in eastern Nebraska, where recent expansions in irrigated agriculture and projected trends in irrigation demand necessitate thorough investigations of approaches that can optimize its irrigation management. In this study, the AquaCrop model was calibrated and validated using 19 variable irrigation treatments from a five-year field experiment. The model accurately simulated canopy cover, soil water content, and grain yield, with validation normalized root mean square error (nRMSE) of 12%, 7%, and 7%, respectively. The model was subsequently applied to estimate soybean yield and water requirement during a 15-year period (2010–2024) …

Sustaining High-Quality Service-Learning In Research Intensive Universities: A Qualitative Study Of Instructor Perspectives, Marika Koch

Graduate Studies Theses and Dissertations 2026

In a world that often feels disconnected due to our sociopolitical climate, there is a need to create socially aware and civically engaged adults. Service-learning integrated into higher education courses can do that and more. Research indicates that both students and the community benefit significantly when students participate in effective service-learning classes. Students who take service-learning courses in college tend to exhibit higher academic achievement, enhanced social and emotional skills, and greater long-term civic engagement. Effective service-learning courses share three common elements: they foster a strong connection to course objectives, promote reciprocity for all involved, and encourage active student reflection. …

Accuracy Of The Phenotypic 1g Test To Detect Mycobacterium Tuberculosis And Drug Resistance From Sputa In The Us-Mexico Border, Mia Aguirre, Doris Ayala, Juan Ignacio Garcia, Yoscelina Estrella Martinez-Lopez, Amberlee Hicks, Nadine M. Chacon, Ashley Gay-Cobb, Alyssa Schami, Selena Zavala-Perez, Blanca I. Restrepo

School of Medicine Publications

Background: With >10 million new tuberculosis (TB) cases/year, a limitation to TB control is the lack of simple and accurate tests for TB diagnosis and drug-susceptibility testing (DST) in endemic regions. We evaluated the accuracy of the first-generation, low-complexity phenotypic TB test (1G test), designed for simultaneous Mtb detection and resistance to isoniazid, rifampicin and moxifloxacin, suitable for resource-limited settings.

Methods: A cross-sectional study was conducted using sputa from 426 possible pulmonary TB subjects from two small Mexican cities bordering Texas. The 1G test was compared against phenotypic TB detection tests in the region [acid fast bacilli smear microscopy and …

Clinical Outcomes Of Bloodstop Ix Application In Crico-Tracheal Resection And Anastomosis For Laryngotracheal Stenosis, Mohamed Yasser Elnaggar, Hisham Atef Ebada, Hossam Elsisi, Ali Tawfik

Mansoura Medical Journal

Objectives: To assess the surgical outcomes among laryngotracheal stenosis patients who underwent tracheal/crico-tracheal resection anastomosis for with application of BloodSTOP iX on the anastomotic line as well as the operative field.

Methods: Fourteen patients participated in this prospective study. The stenotic airway segment was resected circumferentially using primary end-to-end anastomosis. The authors of this article used the same standardized surgical techniques described in the literature and used by them previously. All patients had suprahyoid release, and trachea-hyoid de-tensioning stitches were inserted to reduce the anastomotic tension. To promote healing, BloodSTOP iX was administered across the anastomosis line and surgical outcomes …

Strontium Titanate For Capacitor And Energy Storage Applications At Cryogenic Temperatures, Hung Trinh

Doctoral Dissertations

This study investigates the dielectric properties of single crystal and ceramic strontium titanate (SrTiO₃) for cryogenic capacitor applications from room temperature to 4 K. Permittivity (k) and loss tangent are dependent on temperature, frequency, mechanical stress, and applied DC electric field. Accordingly, the dielectric constant and loss tangent were measured at various frequencies and DC bias levels. Loss tangent data are also presented as equivalent series resistance (ESR). For single crystal SrTiO₃, an impurity level of ≈500 ppm barium resulted in an increase of the maximum permittivity to approximately 50,000 at 6 K. This relatively high …

Frame: Fast Reference-Based Ancestry Makeup Estimation Tool, Pramesh Shakya, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Motivation: The availability of large-scale genetic data presents a unique opportunity to study the genetic ancestries of individuals, which requires an efficient and scalable method. The existing global ancestry methods are accurate, but they cannot scale to large genetic datasets. Identity-by-descent (IBD) segments are DNA segments shared by individuals such that they are inherited from a common recent ancestor without recombination. These IBD segments, which reflect co-ancestry, provide an efficient alternative for inferring genetic ancestry.

Results: We introduced a reference-based global ancestry inference method called FRAME (Fast Reference-based Ancestry Makeup Estimation). FRAME utilizes partial local ancestry information estimated through IBD …

Hallucinated Legal Presentations In Civil Trial Courts, Jeffrey Parness

Cardozo Law Review de•novo

Increasingly, hallucinated legal presentations are being discovered and sanctioned in U.S. federal and state civil trial courts. Such presentations encompass papers that are signed, filed, submitted, or advocated, which contain nonexistent legal sources, whether case precedents, statutes, court rules, administrative regulations, or otherwise. These presentations may be discovered by judges, presenting lawyers, opposing lawyers, unrepresented parties, or witnesses.

Ai Data Center Dynamic Load Effects On Current Transformer Saturation, Sergio A. Hernandez

Electrical Engineering Theses

AI data centers can produce rapid changes in electrical demand that may influence current transformer performance during faults. This study evaluates the effect of an AI data center transient on CT saturation during single line-to-ground faults using a 400 V, 60 Hz grid connected inverter model in MATLAB/Simulink. The normal condition transient produced a maximum RMS current rate of approximately 211 A/ms, which was used along with the maximum power condition to define fault inception cases. A MATLAB time-domain CT model then swept the fault current DC offset coefficient to determine the minimum offset required for CT saturation. The calculated …

Experimental Thermal Characterization And Comparison Of Direct Liquid Cooling And Air Cooling For A High-Density Gpu Server Thermal Test Vehicle, Oluwagbolahan Esan

Mechanical and Aerospace Engineering Theses

As the power density of artificial intelligence (AI) and high-performance computing (HPC) servers escalates, air cooling is approaching fundamental scaling limits set by air's low convective heat transfer coefficient and rising parasitic fan power. This thesis presents an experimental comparison of direct-to-chip liquid cooling and air cooling for a high-density GPU server, using a Thermal Test Vehicle (TTV) that emulates the device layout and power-density regime of an 8-GPU SXM5-class baseboard (eight emulated GPU blocks and four NVLink Switch modules). The liquid configuration was tested at 8.8 kW (8.0 kW GPU, 800 W switch) across three Coolant Distribution Unit (CDU) …

Neuromodulation Of Pain-Related Network Dynamics: Effects Of Electroconvulsive Stimulation On Local Field Potential Activity In A Formalin Pain Model, Diana A. Ibarra

Psychology Theses

Electroconvulsive therapy (ECT) is an established neuromodulatory intervention used to treat severe psychiatric conditions and is known to briefly affect memory function. Given that chronic pain affects millions and often leads to opioid dependence, ECT has been investigated to treat chronic pain. This study examined how electroconvulsive stimulation (ECS), the experimental equivalent of ECT used in animal models, alters or reduces pain-related brain neural activity associated with maladaptive pain-related memory circuit representations. The hypothesis is that ECS will disrupt or reduce neural activity associated with pain-related memory circuits, potentially revealing neural mechanisms that link pain and memory circuits through …

Trump's War On Diversity, Equity, And Inclusion, Nancy C. Marcus

Faculty Scholarship

Among the many head-spinning developments that have occurred from the first days of President Trump’s second presidency are his attacks on DEI (diversity, equity, and inclusion), including anti-DEI edicts targeting educational institutions. This article provides a chronology and analysis of the early 2025 Trump administration’s attacks on DEI targeting schools nationwide, the resulting harms, and responses thereto, including litigation. A discernible refrain in the early litigation challenging President Trump’s anti-DEI attacks targeting educational institutions across the country has been how those attacks cross a clear constitutional line: the prohibition of unconstitutionally obscure governmental mandates. At its core, the void-for-vagueness doctrine …

Rewards That Resonate- How Incentivized Online Reviews Shape Customer Loyalty And Review Outcomes, Sameeha Khizindar

Marketing Dissertations

In today’s competitive marketplace, online reviews have become a central feature of consumer decision-making and business strategy. Research consistently documents that online reviews have a positive impact on outcomes such as review volume and product sales, underscoring their critical role in shaping firm performance. However, the majority of consumers do not voluntarily write reviews, posing a challenge for companies that rely on user-generated content. To address this issue, companies often offer incentives to motivate customers to write reviews. Despite their widespread use, research on their impact remains limited. This dissertation is comprised of two essays that examine the impact of …

End-To-End Development And Experimental Validation Of A 1/10-Scale Autonomous Vehicle, Rikkin Pankaj Panchal

Electrical Engineering Theses

Autonomous vehicle development demands vast resources, making scaled down platforms a critical alternative for solving core algorithmic challenges. The primary contribution of this thesis is the end to end development and validation of a complete real time autonomous driving pipeline deployed on a one tenth scale vehicle. To streamline platform development, an AI assisted annotation framework automates dataset generation, significantly reducing manual labor while improving training data quality. The system perception stack features a reinforcement learning guided online multi camera calibration framework that enables adaptive surround view stitching without the need for offline recalibration. This is paired with robust lane …

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Scott Moen, Eric Walser

Mathematics & Statistics Faculty Publications

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …

An Optimization-Driven Approach For Accurate Prediction Of Diabetes Mellitus, H El Bouhissi, Sb Xu, John H Wang

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Diabetes mellitus is a progressive metabolic disorder requiring timely identification to prevent severe complications and reduce healthcare burdens. This paper proposes an optimization-driven deep learning framework for accurate diabetes prediction, integrating Long Short-Term Memory selection and hyperparameter tuning. The framework is conceptualized as a decision-support system embedded within electronic health records and clinical workflows, supporting physicians, nurses, case workflow integration, governance, and privacy-are addressed to ensure alignment with real-world organizational contexts. The results demonstrate both technical feasibility and practical relevance, linking predictive analytics capability with human-AI collaboration, adoption factors, and operational decision-making in healthcare organizations.

Investigation Of Genx Exposure To Pathways Associated With Colorectal Cancer Risk, Emily J. Ferguson

Theses and Dissertations--Toxicology and Cancer Biology

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants widely detected in drinking water and food sources, resulting in chronic human exposure. Among these compounds, hexafluoropropylene oxide dimer acid (HFPO-DA), commonly known as GenX, has been introduced as a short-chain replacement for legacy PFAS such as perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA). Although GenX is believed to be a safer alternative, emerging research suggests it can still affect human health.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer-related death in the United States, highlighting the need to better understand environmental …

Uncovering The Mechanism Of Reep2-Mediated Emt-Driven Membrane Trafficking In Lung Adenocarcinoma, Kevin Fulp

Theses and Dissertations--Toxicology and Cancer Biology

Membrane trafficking is frequently disrupted during cancer progression, and the underlying mechanisms remain largely unknown. Currently, no effective drugs target dysregulated membrane trafficking for cancer treatment. Recent evidence has demonstrated that epithelial-to-mesenchymal transition (EMT) in lung adenocarcinoma (LUAD) employs a membrane trafficking program to coordinate cancer cell invasion and immunosuppression. To further dissect the pro-tumorigenic membrane trafficking program, we initiated an in vivo CRISPRi screen to assess more than 2,000 membrane trafficking-related genes in a syngeneic mouse LUAD model. We identified REEP2, an endoplasmic reticulum (ER) shaping protein, as a novel regulator of EMT-driven membrane trafficking. High REEP2 expression is …

Reep2-Driven Pro-Metastatic Secretion Promotes Lung Cancer Progression, Oluwafunminiyi E. Obaleye

Theses and Dissertations--Toxicology and Cancer Biology

Membrane trafficking plays a critical role in cellular function and is frequently dysregulated in cancer to promote metastasis. In lung adenocarcinoma (LUAD), the epithelial-to-mesenchymal transition (EMT) activating transcription factor, ZEB1, drives a pro-metastatic membrane trafficking program; however, the underlying molecular mechanisms remain poorly understood. Using a CRISPR interference (CRISPRi) in vivo screen of 2,099 membrane trafficking regulators in a syngeneic mouse model of EMT-driven LUAD, we identified REEP2 — an endoplasmic reticulum (ER) shaping protein — as a critical regulator of tumor progression. REEP2 mRNA expression correlates with poor prognosis, EMT signatures, and an immunosuppressive tumor microenvironment in LUAD patients. …

Public Schools: The Battleground Between Church And State, Brian Boggs

Western New England Law Review

Over the course of the last 50 years, specific jurisprudence has been developed relating to First Amendment rights in schools. Specifically, there have been several cases that set rules for religious freedoms and practices in schools—a  trinity of rights made up of the Establishment Clause, Free Exercise Clause, and Free Speech Clause—that form a framework to guide jurists and educational practitioners. However, the U.S. Supreme Court has drastically changed their course over the last several years, and the standards of review related to these cases. This trend is likely to continue. This paper provides a historical overview of the development …

The Ones Who Watched: Technology, Proxy Warfare, And The Testing Ground Hypothesis, Sean J. Oliver

Graduate Theses/Dissertations

Great powers need laboratories for war. This thesis argues that great powers find these laboratories in proxy forces. Proxy warfare is not just a tool for strategic influence. It is a machine for experimentation. This study posits a central testing-ground hypothesis. It contends that great powers deliberately use surrogates to vet emerging technologies, doctrines, and mobilization schemes under the pressure of real combat. The analytical methodology is historical. It traces patterns from the ancient world's proxy forces and the innovations of the Crusades to the Cold War and the digital age. The thesis examines enduring patterns, including the tension between …

Stopping The Buck: What Made The Truman Committee Uniquely Successful In Its Oversight Of World War Two Military Contracts, Victoria Kelley-Chiarelli

Graduate Theses/Dissertations

During World War Two, Harry S. Truman led the Senate Select Committee to Investigate the National Defense Program, also known as the Truman Committee, in its oversight of military contracts and the war effort. The Truman Committee saved the U.S. government billions by identifying and discouraging waste, fraud, and abuse, and saved many armed forces personnel’s lives through identifying defective products. Truman’s background in World War One service and his time as a local official in Missouri show signs of the integrity and commitment to good governance that made the Truman Committee so successful. The Truman Committee’s membership, staff, principles, …

Heterogeneous Robots Cooperation Via Multi-Agent Reinforcement Learning, Rehab Uddin Shawon

Graduate Theses/Dissertations

Enabling heterogeneous robots with diverse capabilities, roles, and task responsibilities to coordinate effectively in complex, dynamic environments remains a fundamental challenge in autonomous multi-robot systems. Multi-Agent Reinforcement Learning (MARL) provides a promising framework for decentralized cooperation. However, most existing MARL approaches assume homogeneous agents or fixed single-task settings and suffer significant performance degradation as the number of robot and task types increases. This thesis presents a scalable shared-policy MARL framework that allows heterogeneous robots to learn specialized behaviors for individual, sequential, and collaborative tasks involving temporal and spatial dependencies through a single neural policy. I first embed robot identity directly …

Europe In The Indo-Pacific - Implications For The United States, Joshua G. Zinicola

Graduate Theses/Dissertations

Within the last five years the Indo-Pacific has become a region of increasing interest to European NATO members. In particular, the United Kingdom, France, and Italy have assigned strategic importance for their national security to the region, signing cooperative agreements with regional allies of the United States and deploying significant forces to the region. These agreements include commitments to jointly develop new technologies and combat systems for employment in both Europe and the Indo-Pacific, such as the Global Combat Air Programme (GCAP), and the Trilateral security partnership between Australia, the United Kingdom, and the United States (AUKUS). They also include …

Lsu General Catalog 2026-2027, Louisiana State University And Agricultural And Mechanical College

LSU General Catalog

The LSU General Catalog describes all undergraduate and graduate departments and programs with degree requirements and courses offered for each one. The LSU General Catalog includes information on registration and financial aid as well as academic services offered to all students

From Sediment To Mangrove: Tissue-Specific Metal Accumulation In Red Mangroves Of Southeastern Florida, Sophie Welch

Honors Theses

Coastal wetlands near industrialized waterways face increasingly heavy‐metal contamination, posing risks to benthic communities and food webs. Mangroves can influence metal cycling through sediment trapping, root‐zone sequestration, and internal physiological regulation, yet their effectiveness in urbanized systems remains debated. This study quantified concentrations of 17 heavy metals in sediments and mangrove tissues from four sites near Port Everglades, Florida, examined tissue‐specific partitioning, spatial and temporal contamination patterns, and examined the mangroves’ role in mediating metal loads. Ecological risk metrics identified STB as a contaminant hotspot with exceedances of TEL values across multiple elements (Ni, Pb, and Zn) as well as …

A Taxonomy-Driven Modular Defense Against Non-Canonical Language In Vision-Language-Action Models, Viraj Samson

Electronic Theses and Dissertations

Vision-Language-Action (VLA) models have recently achieved strong performance across manipulation benchmarks, but these benchmarks rely on highly templated instructions on which the models are typically fine-tuned, leaving their behavior under realistic language-side perturbation unclear. It remains an open question whether the linguistic flexibility inherited from vision-language pretraining survives this fine-tuning, or whether the resulting policies become narrowly tuned to benchmark phrasing and brittle to the intent-preserving language variation that real users naturally produce. We address this gap with a systematic study of VLA robustness under non-canonical instructions, comprising three components: a structured taxonomy of intent-preserving variations spanning linguistic, orthographic, and …