Digital Commons Network^™

Predicting Diversity Gaps In Clinical Trials Using Digital Twin Modeling, Abigail Tubbs

Theses and Dissertations

Demographic underrepresentation in clinical trials continues to limit the external validity, equity, and generalizability of biomedical evidence. While regulatory reforms have increased the availability of aggregate demographic reporting, most existing approaches assess representation retrospectively, after recruitment has begun, offering limited support for design-stage decision-making. This dissertation presents a digital twin–based framework for prospective assessment of demographic diversity in clinical trials using trial-level metadata. The work integrates three core contributions. First, an open, reproducible, no-code extraction tool was developed to enable bulk retrieval and harmonization of baseline demographic data (race, ethnicity, sex/gender, and age) from ClinicalTrials.gov using National Clinical Trial identifiers. …

Enhancing Geothermal Productivity In The Red River Formation, Williston Basin: Utilization Of Unconventional Stimulation Technology And Sco2 Injection To Improve Geothermal Inlet Temperature, Fluid Flow Rate, And Project Economics, Etochukwu Jude Uzuegbu

Theses and Dissertations

Geothermal energy is a reliable renewable energy source capable of delivering consistent baseload electricity while emitting very low concentrations of greenhouse gases. In very low permeable geothermal reservoir, the geothermal system’s efficiency and economic feasibility are heavily dependent on reservoir productivity, which includes the fluid circulation and heat extraction efficiency. This research assesses the geothermal inlet temperature dynamics, fluid production and techno-economic viability of two reservoir productivity enhancement approaches: Hydraulic Fracturing (Base Case model) and Fishbones stimulation (Proposed Case model) under various operational conditions. The research aims to evaluate the influence of these two approaches on the geothermal inlet temperature, …

Techno-Economic Analysis And Density Functional Theory Modeling Of Hydrogen Fuel Cells With Platinum-Based Catalysts For Effective Deployment In Long-Range Electric Vehicles, Thomas Cheekwang Yap

Theses and Dissertations

The transition to sustainable transportation is constrained by carbon emissions and fossil fuel dependence. Hydrogen fuel cells (HFCs), particularly those utilizing platinum-based catalysts, offer high efficiency and suitability for long-range electric vehicles (EVs). However, the high cost and durability limitations of platinum catalysts remain major barriers to large-scale deployment.

This study integrates techno-economic analysis (TEA) with density functional theory (DFT) modeling to evaluate cost–performance trade-offs of platinum-based catalysts for long-range hydrogen fuel cell vehicles. DFT simulations were conducted to assess platinum alloy compositions and oxygen reduction reaction activity. These performance metrics were incorporated into a MATLAB-based TEA framework to quantify …

Ligand-Based Pharmacophore Modeling And Structure-Based Virtual Screening For Identifying Potential Therapeutic Agents Targeting The Sars-Cov-2 Spike Protein-Ace2 Receptor Interaction, Timoteo Delgado-Maldonado, Gilberto Vargas-Salas, Debasish Bandyopadhyay, Adriana Moreno-Rodriguez, Eyra Ortiz-Pérez, Gildardo Rivera-Sanchez

School of Integrative Biological & Chemical Sciences Faculty Publications

Coronavirus disease (COVID-19) remains a global health concern due to its high mortality and morbidity. In this study, we combined ligand-based pharmacophore modeling (LBPM) with structure-based virtual screening (SBVS) to identify novel inhibitors targeting the SARS-CoV-2 spike protein. Ligands from the MolPort database were screened via docking and molecular dynamics simulations at the receptor-binding domain (RBD). Four compounds showed promising docking scores (-8.7 to -6.4 kcal/mol) and dynamic stability (root mean square deviation < 5 Å). In vitro assays confirmed that compounds C3 (IC50 = 0.03 µM) and C4 (IC50 = 10.4 µM) effectively inhibited spike-ACE2 binding with low cytotoxicity (CC50 > 100 µM). These findings show the efficacy of the LBPM technique and highlight 1H-pyrazol-5-ol derivatives as potential building blocks for developing new antiviral agents against SARS-CoV-2.

Effects Of M6a Dna Methylation By Bacterial Methyltransferase In Colorectal Cancer, Fabian Alejandro Mendoza Galvan

Dissertations and Theses (Open Access)

Effects of m6A DNA methylation by bacterial methyltransferase in colorectal cancer Fabian Alejandro Mendoza Galvan Advisory Professor: Angela H. Ting, Ph.D. Fusobacterium nucleatum animalis (Fna) is found in the human oral cavity and gut. A distinct clade of Fna is primarily enriched in the tumor microenvironment (TME) and within colorectal cancer (CRC) cells. This clade DNA methylation pattern is primarily catalyzed by a cell-cycle regulated methyltransferase (CcrM) ortholog, M.FnI, that targets the GANTC sequence motif through methyl-6-Adenine (m6A) DNA methylation. We hypothesized that M.FnI enzyme can induce m6A methylation abnormalities in CRC cells to promote cancer progression. Evidence for endogenous …

Technical Development, Optimization, And Clinical Implementation Of Quantitative Magnetic Resonance Imaging Methods For Radiation Oncology, Lucas Mccullum

Dissertations and Theses (Open Access)

Magnetic resonance imaging (MRI) has gradually grown more important in the field of radiation oncology. This paradigm shift has grown from initial experiments with MRI of cancerous lesions in the early 1970s, to the integration of MRI images for radiation therapy treatment planning (i.e., MRI-Simulation) in the early 1980s, to the combined MRI linear accelerator (MR-Linac) becoming commercially available in 2018 which can simultaneously image a tumor and treat it with radiation. However, due to its novelty in radiation oncology, its full potential for the integration of quantitative MRI-based biomarkers has yet to be fully realized.

Therefore, this dissertation will …

An Integrated Framework For Early Detection And Transmissibility Assessment Of Emerging Variants In Wastewater, Xingwen Chen, Tin Phan, Wei Lin Lee, Katie Clark, Steven F Rhode, Samantha Brozak, Bruce Pell, Tsultrim Palden, Mats Leifels, Anna Gitter, Yang Kuang, Stefan Wuertz, Janelle Thompson, Kristina D Mena, Eric J Alm, Fuqing Wu

Faculty, Staff and Student Publications

Tracking the emergence of new viral variants is critical for epidemic preparedness, but remains challenging because variants typically circulate at low prevalence during the early phase of outbreaks. Here, we present an integrated framework that combines sensitive variant detection in wastewater with quantitative assessment of transmissibility through dynamic epidemic modeling. Using the SARS-CoV-2 Omicron variant as a proof of concept, we developed a novel nested allele-specific RT-qPCR assay (NAS-PCR) that achieved a thousand-fold increase in sensitivity compared with allele-specific RT-qPCR (limit of detection: 0.5 copies/μl). NAS-PCR detected Omicron in wastewater samples from the Greater Boston area starting in September 2021, …

Introduction To The Special Issue On Computer Modeling For Future Communications And Networks, Wenbing Zhao, Pan Wang

Electrical and Computer Engineering Faculty Publications

No abstract provided.

An Empirical Study On The Impact Of Eco-Friendly Selling Points On The Purchase Intention Of Young Chinese Consumers, Yang Liu

Dissertations and Theses Collection (Open Access)

Industry consumer research widely portrays Generation Z as an identity-driven cohort that enacts sustainability values through consumption. This narrative is often generalized across cultural contexts, assuming that Western-developed green consumption frameworks can be directly transferred without structural modification. Yet Chinese Gen Z’s e-commerce purchase patterns depart notably from this depiction, raising core questions: Can Western green consumption frameworks be applied to Chinese Gen Z? If so, what theoretical and structural adaptations are necessary?

This dissertation develops and tests an integrated three-pathway model to explain green purchase intention among Chinese Gen Z consumers. The model places utilitarian benefits, self-expression benefits, and …

Enhancing Reliable Performance Of Microgrids With Autonomous Control Of Distributed Energy Resources, Sahand Liasi

All Dissertations

This dissertation presents a comprehensive investigation into enhancing the reliability, efficiency, and autonomous operation of modern power networks through advanced microgrid integration and control strategies. The research addresses critical challenges across three interconnected domains: microgrid control, thermodynamic modeling of heat recovery system (HRS), and optimal distribution network reliability.

In the realm of microgrid control, this work introduces novel methodologies for grid forming inverter-based resources (IBRs). A significant contribution is the development and validation of an "Auto Frequency Change" controller, which drastically reduces microgrid synchronization time with the main grid from several minutes to approximately four seconds, with theoretical potential for …

Development And Validation Of The Ampere Scale: Measuring Adaptive And Maladaptive Perfectionism In Engineering Students, Haleh B. Brotherton

All Dissertations

Perfectionism refers to the inclination to set very high expectations for oneself, which can at times encourage personal development and at other times lead to stress and a sense of pressure. Perfectionism is widely observed among engineering students; however, instruments that distinguish adaptive striving from concern-driven tendencies in the engineering context remain limited. My study is based on the development and validation of the AMPERE (Adaptive and Maladaptive Perfectionism in Engineering) scale through a three-phase process: (I) expert review with two domain experts to establish content validity; (II) cognitive interviews with seven undergraduates to refine wording and interpretability; and (III) …

Generative Ai Of Breast Cancer Progression In Gene Expression Space, Xusheng Ai

All Dissertations

Breast cancer is one of the most common and deadly cancers in the world. Although doctors can use gene activity data to better understand different types of breast cancer, it is still difficult to identify the most important genes and to track how the disease changes over time. This is partly because gene data are very large and complex.

This dissertation develops a computer-based framework to study breast cancer using gene expression data. The work focuses on three goals: creating realistic synthetic gene data, identifying important genes linked to cancer, and modeling how breast cancer changes from normal tissue to …

Safe Control Design For Quadruped Locomotion In Unstructured Environments Using Linear Transfer Operators, Sriram Sundar Krishnamoorthy Shankara Narayanan

All Dissertations

Deploying quadruped robots in unstructured, obstacle-rich environments requires control and planning methods that remain safe and reliable despite complex terrain geometry, limited sensing, and inevitable modeling errors. This thesis develops operator-theoretic tools for safe control design of robotic systems using linear transfer operators, with a focus on quadruped locomotion in unstructured environments. The central goal is to develop a unified operator-theoretic framework for safe control design based on the Perron–Frobenius (P–F) and Koopman operators. In particular, the thesis leverages \emph{density functions} to develop safe navigation frameworks in the dual space of densities. In the operator-theoretic perspective, the P–F operator governs …

Interplay Between Phase Instability And Deformation Mechanisms In Beta Titanium Alloys In Aggressive Environments, Benjamin Elbrecht

All Dissertations

Modern designs, such as commercial jet turbines, are reliant on the high temperature performance of their constituent materials. Improvements to the strength-at-temperature of materials are critical to the continued advancement of efficiency and payload capacity in these advanced applications. This dissertation presents studies that progress towards this goal through the construction of a new experimental setup for complex temperature and force profiles that also accurately captures deformation behavior through non-contact measurements. Using this setup, studies into two specialty titanium alloys were executed: discovering the microscopic mechanisms responsible for the macroscale behavior and testing in conditions closely replicating aircraft turbine operating …

Refining Treatment Thresholds Of Insect Pests In South Carolina Soybeans Using Simulated Injury And Natural Populations, Adam Whitfield

All Dissertations

Insect pests are a major limiting factor to profitable soybean, Glycine max (L.) Merr., production in South Carolina, yet current economic thresholds are largely based on historical data and may not reflect modern cultivars, production practices, or input costs. Key insect pests in South Carolina can be categorized into three major feeding groups: defoliators, stem feeders, and pod feeders. Defoliating insects include, but are not limited to, soybean looper, Chrysodeixis includens (Walker); velvetbean caterpillar, Anticarsia gemmatalis (Hubner); green cloverworm, Hypena scabra (Fabricius); grasshoppers; and numerous species of beetles. Stem feeders include, but are not limited to, kudzu bug, Megacopta cribraria …

Reimagining Access: Gentrification, Race And Youth Engagement In Outdoor Recreation, Cameron Smith

All Dissertations

Outdoor recreation has proven beneficial for youth, providing mental, social, and physical health benefits that last a lifetime. However, there is a gap in Black and Brown youth's participation in structured outdoor activities due to a multitude of structural factors. An overarching systemic factor that has affected these youths' participation in outdoor recreation is Gentrification, and its derivative, Green Gentrification, which specifically refers to how green amenities and infrastructure drive displacement of long-term communities. As a result of the displacement, Black and Brown youth are placed in a society where they are forced to navigate spaces that were intentionally designed …

Baseline Cervical Intervertebral Disc Biomechanics And Implications For Allograft Preservation, Nathan F. Buchweitz

All Dissertations

Neck pain has become an increasingly common orthopaedic healthcare issue. Evidence shows that degeneration of cervical intervertebral discs (the cartilage between the spinal vertebrae in the neck) may be associated. While disc degeneration in the lumbar spine has been extensively studied in relation to low back pain, it has received less attention in the cervical spine. Biomechanically, the cervical (neck) and lumbar (lower back) regions of the spine differ in function. Lumbar discs resist a greater burden of body weight, whereas cervical discs are adapted for mobility to aid flexible head orientation. Despite these key differences, disc injury and degeneration …

Neurobiological Mechanisms Of Attention In Adolescents, Virginia Clark

All Dissertations

Adolescence is a transformative developmental period characterized by profound biological, neurological, and behavioral changes. This dissertation investigates the neurobiological underpinnings of attention in adolescents, emphasizing how internal mechanisms influence and individually shape cognitive development through the endosystem. Rooted in the intersection of human development, learning sciences, and cognitive neuroscience, this work argues for a more integrated understanding of attention as a fundamental cognitive function for learning, one that is behaviorally seen but also biologically and neurologically driven. While developmental science has often emphasized external influences such as family, culture, and environment, this work centers on the adolescent’s internal biological systems …

El Leñador, May 2026, El Leñador Staff

El Leñador Newspaper

El Leñador is an English and Spanish newspaper produced by Humboldt State University students. Our staff cover and provide news to Latinx and other diverse communities on campus and in Humboldt County. We are committed to providing relevant news and expanding the representations and stories told about people of color and other marginalized groups. Our work helps create more social, political and cultural diversity in local media.

El Leñador es un periodico en español y inglés producido por estudiantes de la Universidad Estatal de Humboldt. Nuestro personal cubre y provee noticias a la comunidad Latinx y otras comunidades diversas en …

Youth In Leadership Positions: A Mediation Program Proposal, Abigail Horn

Sociology

Encountering the justice system can have harmful impacts on a child’s well-being and can lead to negative outcomes in the future, such as missing school and reoffending. This paper proposes a program to combat these impacts by creating infrastructure for schools to handle low level offenses within schools through a mentoring program. After a review of the literature on the current justice system in the United States, rehabilitative and restorative justice practices, and the effects of youth leadership positions, the “Re-Mentoring Program” is proposed. A play on the words "restorative" and "rehabilitative," this program involves youth who have offended, victims, …

The Human Touch: Lawyer Leadership In The Age Of Generative Ai, Kathleen Elliott Vinson

Suffolk University Law School Faculty Works

No abstract provided.

Rationalizing Atrocity: Vindicatory Careerism And Mass Murder As A Career Path, 1939-1943, Bethany G. Bare

Electronic Theses and Dissertations

This study examines members of the Nazi Schutzstaffel from an occupational perspective, focusing on how professional roles shaped their participation in systematic mass murder. As National Socialism gained influence in interwar Germany, it coincided with the rise of a generation of ambitious and embittered men eager to distinguish themselves. The transition from the T4 Program (1939-1941), the involuntary euthanasia of disabled Germans, to Operation Reinhard (1942-1943), the extermination of Polish Jews, demonstrates how mass murder evolved into a career path, as each of the men examined served as T4 personnel before transferring to Poland to assume positions as extermination camp …

Durable, Distributed Llm Inference On Cots Devices, Brycen E. Dunn

Electronic Theses and Dissertations

The advancement of Large Language Models (LLMs) has fundamentally changed the nature of natural language processing. The substantial memory requirements of frontier models creates a significant barrier to entry, centralizing inference. This thesis presents the design and implementation of a distributed inference framework designed to democratize LLMs by leveraging commodity devices. The framework combines the resources of heterogeneous COTS devices into a unified compute pool, enabling the inference of models exceeding a single device's memory capacity. A novel Task Partitioning Engine (TPE) analyzes model architectures, profiles node capabilities, and supports pipeline and expert parallelism strategies. The primary contribution is a …

A Machine Learning Framework For Early-Stage Cost Estimation Of Transportation Projects, Pritom Paul

Electronic Theses and Dissertations

To address the limitations of traditional planning-level cost estimating methods, such as reliance on statewide averages, heavy reliance on engineering judgment, and high levels of inaccuracy, this study developed two data-driven frameworks and corresponding tools. The first framework focused on resurfacing projects and used treatment-specific simple linear regression based on lane miles and geographic location. The second addressed a broader group of construction projects and used multiple linear regression with project length, route type, and right-of-way cost as key predictors. In both frameworks, the final estimates are computed by aggregating multiple estimates produced by county-, region-, and state-level models. The …

Decomposition And Spectral Characterization Of Unsteady Loads In Pulse-Jet Propulsion Testing, Cesar Benitez

Theses and Dissertations

Pulsed jet propulsion systems produce inherently unsteady forces whose time-resolved characterization is essential for performance assessment, yet the measured load signal conflates aerodynamic forcing with the dynamic response of the measurement balance itself. This thesis develops a load centered framework for the dynamic characterization of a pulsed jet system, treating the measured load fluctuation as the primary physical observable rather than attempting full true-thrust reconstruction. A single-degree-of-freedom balance model identified through ringdown testing provides the structural reference scale, yielding a natural frequency of 8.5 Hz and damping ratio of 18%. Power spectral density, phase-averaging, and synchronous–residual decomposition is applied uniformly …

Examining The Effects Of Lateral Loading On Railroad Tapered Roller Bearings, Abel David Sanchez Trinidad

Theses and Dissertations

The loading conditions experienced by freight railcar bearings vary as a function of vehicle operating conditions. Under static conditions, bearings are primarily subjected to radial loads transmitted through the wheelset. During operation, however, track irregularities, braking events, railcar load imbalances, and curving introduce complex impact, longitudinal, and lateral forces in addition to the normal radial loading. These lateral forces increase friction within the bearing raceways, which could accelerate wear and potentially lead to premature spall initiation and propagation. While prior research at the University Transportation Center for Railway Safety (UTCRS) has demonstrated that vibration signatures can be used to detect …

Using Siamese Neural Networks To Effectively Detect Trojans In Fpgas When Trojans Manipulate Encryption Operations At The Bitstream Level, Kylie Arnett

Graduate Theses and Dissertations (2019 - present)

This research investigates security vulnerabilities in Field-Programmable Gate Arrays (FPGAs) at the bitstream level, focusing on hardware trojans (HTs) that manipulate encryption operations. This study addresses two critical questions: (1) The feasibility of exploiting FPGA bitstreams to selectively bypass encryption operations when a predefined input pattern is observed (all ones), thereby exposing sensitive data, and (2) the efficacy of Siamese Neural Networks (SNNs) in detecting such trojans with high accuracy. FPGAs are vulnerable to malicious modifications during manufacturing or deployment, posing risks to data integrity and system functionality. In this work, a trojan is inserted into a Xilinx series-7 FPGA …

Detecting Sophisticated Cyberattacks On Public Water Infrastructure, Ayrton Purdy

Graduate Theses and Dissertations (2019 - present)

In recent years there has been an increasing number of cyberattacks on public water generation and distribution systems. Advanced persistent attackers could usurp sensors and control systems to contaminate public drinking water. In order to conceal their malicious activity, they can manipulate sensor data flows to give the appearance of normal activity. The compromised sensors would report normal chemical levels even though unsafe water is entering the distribution system. In response, this research proposes a multi-sensor, cross-comparison approach to anomaly detection. The proposed approach is designed to detect sophisticated cyberattacks which are not easily detectable using traditional cyber tools. The …

Developing A Framework For Microchip Design Recovery, Eric Diep

Graduate Theses and Dissertations (2019 - present)

Due to the increase in diverse chip production over the past decade, reverse engineering has become a difficult and daunting task. This research develops a methodology for microchip design recovery, seeking to validate and reproduce prior approaches to physical reverse engineering using low-cost tools and techniques. We used mechanical hardware abrasion tools and techniques to delayer and capture silicon integrated chip (IC) layout. We focused on the Mifare Classic EVl microchip, commonly implemented in public transit/transportation cards, to extract information for design recovery. The research explores limitations and advantages of mechanical abrasion and optical microscopy in context to modem chip …

Manufacturing Systems: Characteristics And Dynamics, Alan J. Fitzmorris

Graduate Theses and Dissertations (2019 - present)

This research answers three basic questions. First, what are the behaviors (dynamics) of a manufacturing system in the context of system performance? Are these dynamics best described as linear deterministic, periodic, nonlinear deterministic, or stochastic? Second, what are the complexity (chaotic) characteristics of a manufacturing system, namely the maximal Lyapunov exponent, correlation dimension, and Kolmogorov-Sinai entropy? Third, is there a relationship between complexity characteristics and manufacturing system performance? This research involves four high level steps: data analysis, system dynamics analysis, system complexity analysis, and correlation analysis. The data analyzed consists of concrete plant and shipbuilding shop time series performance data. …