Digital Commons Network^™

Scaling Wind Farm Layout Optimisation To Meet Uk Energy Demands, Grace Richardson

The Plymouth Student Scientist

This research aims to explore the Wind Farm Layout Optimisation Problem (WFLOP) through both single- and multi-objective optimisation, to show that it can be used to create farm layouts that provide enough power for all homes in the UK. We highlight the intricacies of the problem, including the application of different algorithms and models, and the challenges of scaling the models to achieve optimal results. We employ both a Hill Climbing Algorithm (HCA) and an evolutionary algorithm (NSGA-II) to obtain wind farm layouts, and compare these to the well-known results proposed by Mosetti et al. Moreover, we present a novel …

Design And Validation Of An Industrial Out-Of-Plane Permeability Test Rig Of Fibre Preforms For The Development Of Next Generation Aircraft Structures, Callum Park

The Plymouth Student Scientist

Despite composites comprising 50% of modern aircraft structures, the absence of a standardised method for measuring out-of-plane permeability frequently results in manufacturing defects in early-development aerospace components, directly impacting safety, manufacturing efficiency and costs. This study aimed to address this gap, by designing and commissioning a compact, vacuum-assisted, mass flow test rig, capable of evaluating the saturated out-of-plane permeability of a variety of materials. This design incorporated learnings from theory, previous studies and discussions with industry experts. E-glass, a Metyx unidirectional carbon and the Teijin ITS55 carbon were investigated, where E-glass exhibited the highest permeability of 1.88E-12m², while …

Investigating Deception-Related Moral Conflict Using Electroencephalography (Eeg) Hyperscanning, Madie Ades

The Plymouth Student Scientist

Amplitudes of the early Bereitschaftspotential (BP) and deceptive behaviour have been theorised to be modulated by moral conflict experienced when making deceptive decisions, as the decision to lie can depend upon our moral perceptions of what is right and wrong (Panasiti et al., 2014). However, most Electroencephalography (EEG) deception paradigms lack ecological validity by utilising instructed lying and failing to incorporate genuine social interaction (Ganis & Keenan, 2009) and therefore may fail to elicit genuine moral conflict. The present study combined hyperscanning EEG with a competitive two-player social game, where participants freely chose to respond accurately or deceptively for …

Otherwise Than Human: Responsibility In The Wake Of Disaster, An Eco-Deconstructive Response To Climate Catastrophe, James W. Harris

Masters Theses and Doctoral Dissertations

This thesis will, firstly, assume a line of eco-deconstructive reasoning, which takes as its point of departure from other approaches to the environment the basic premises of deconstruction, which aim to de-center the ontological and epistemological assumptions of Western thought about the subject and language, and apply it to the concept of the human as a distinct and, most importantly, privileged being as this privilege has operated within language and culture, thereby demonstrating how climate catastrophe constitutes a fundamental rupture in traditional ontology. Secondly, I will turn towards the ethics of Emmanuel Levinas, as in present in his God, Death, …

On Solving The Vertical Generalized Linear Complementarity Problem Associated With A Vertical Block P-Matrix, Mark K. Horlu

Masters Theses and Doctoral Dissertations

In Ebiefung et al. (2017) an algorithm was developed to solve the vertical generalized linear complementarity problem (VGLCP) when the associated matrix is a vertical block P-matrix (VBP). The objective of this study is to implement the algorithm on a large scale using the Python programming language. We also use a Python code to generate test VBP- matrices Ebiefung et al. (2022), and used them to implement the algorithm. On a representative example, every computational step including basis updates, pivot selection, and vector analysis is recorded. The Python implementation exhibits precise convergence. The final results verifying the correctness of the …

A Question To Query Llm As A Pipeline Replacement In Knowledge Graph Question Answering Systems, Major Schwartz

Masters Theses and Doctoral Dissertations

Knowledge Graph Question Answering (KGQA) pipelines commonly depend on separate entity and relation predictors before querying the graph, which introduces engineering complexity and costly inference passes over large vocabularies. This thesis presents a drop-in replacement for those modules: a fine-tuned large language model (LLM) that translates a natural-language question directly into an executable SPARQL query. We fine-tune instruction-tuned backbones, Llama-3.1-8B-Instruct and Mistral-7B-Instruct, on paired (question, gold SPARQL) examples, which are formatted through chat templates. As a result, the models can perform single-step query generation. The training and inference pipeline includes a lightweight post-processor that corrects tokenizer-induced spacing artifacts in generated …

Optimizing Xylitol Production: A Molecular And Experimental Study Of Xylose Reductase In Candida Tropicalis, Zackery Neal

Masters Theses and Doctoral Dissertations

Xylitol, a naturally occurring sugar alcohol, is widely used in the food and pharmaceutical industries as both an artificial sweetener and an anticariogenic agent. Traditional xylitol production relies on harsh chemicals and energy-intensive processes, making microbial fermentation a more sustainable alternative. This study explores the ability of Candida tropicalis to convert D-xylose into xylitol through the enzyme xylose reductase, with a focus on optimizing pH conditions to enhance conversion efficiency. To achieve this, both experimental fermentation and computational molecular dynamics simulations using GROMACS and the pHbuilder tool are employed. By analyzing the enzyme’s stability and structural dynamics across different pH …

Dna Methylation Markers Of Insulin Resistance Surrogate Measures In The Atherosclerosis Risk In Communities (Aric) Study, Jeewoen Shin, Jan Bressler, Megan L Grove, Michael Brown, Elizabeth Selvin, James S Pankow, Myriam Fornage, Alanna C Morrison, Chloé Sarnowski

Faculty, Staff and Student Publications

Insulin resistance (IR) is a risk factor for cardiovascular diseases and type 2 diabetes. Associations between DNA methylation (DNAm) and IR have been less studied in African ancestry (AA) populations than those of European ancestry (EA). We aimed to identify associations between whole blood DNAm and IR in up to 1,811 AA and 964 EA participants from the Atherosclerosis Risk in Communities (ARIC) study. We quantified IR using three surrogate measures: the homeostasis model assessment of insulin resistance (HOMA-IR), the triglyceride-glucose index (TyG), and the triglyceride glucose-body mass index (TyG-BMI). We used ancestry-stratified linear regression models to conduct epigenome-wide association …

Exploring Factors That Contribute To The Success Of Latina Superintendents In South Texas, Juanita D. Ybarra-Rodriguez

Theses and Dissertations

The COVID 19 pandemic brought forth many new challenges to the K-12 public schools. Superintendent turnover rates reached concerning levels in Texas and nationwide. This study explored the relationships between Latina superintendent’s success and the superintendents’ experiences with the school board, the community, their own health and safety and experiences related to maintaining superintendents’ role. Success is defined as a participant who acquired the superintendent role and maintained it for at least three years. Participants in this study were selected from Hispanic female superintendents within the Region One Education Service Center (ESC) in South Texas who had acquired and remained …

Voices Of Resistance: Multilingual Identity Formation Through Translanguaging In Dual Language Bilingual Education, Fernando W. Milmo

Theses and Dissertations

This qualitative case study explored how students navigated their evolving multicultural and multilingual identities in a setting with varying emphases on English and Spanish in the context of a fourth-grade dual language classroom where the teacher employed translanguaging pedagogy. This study is grounded in a theoretical framework that integrates decolonial, raciolinguistic, and translanguaging perspectives. The study examined students' perceptions of linguistic hierarchies and the ways they utilized their full linguistic repertoires to negotiate meaning, identity, and a sense of belonging. This study included pláticas as a culturally grounded narrative method, classroom observations, and interviews, and used a qualitative case study …

Factors Influencing Teacher Professional Autonomy And Career Satisfaction: The Effects Of Unrealistic Professional Expectations Surrounding Student-Centered And Technology Implementation Tropes, Karla Gabriela Lopez

Theses and Dissertations

The research problem is to investigate to what extent unrealistic professional expectations stemming from a predominant emphasis on the tropes of student-centeredness and technology integration impact teachers’ experiences of professional autonomy and career satisfaction. The purpose of this study is to find out what factors impact teacher autonomy and career satisfaction while also considering how teachers can be effectively supported to improve these areas. Utilizing a narrative inquiry approach, this qualitative study will be held in the Rio Grande Valley and will analyze interviews of both current teachers and teachers who have recently left the profession. Therefore, this study will …

Hispanic Academic Leadership In The Health And Human Services, Gabriela Elizabeth Rangel

Theses and Dissertations

In the United States, there are 63.7 million Hispanics (U.S. Census Bureau, 2023), making them the largest racial or ethnic minority in the country. National data from 2019 indicates that only 6% of tenured faculty in the U.S. were Hispanic, highlighting a significant underrepresentation of leaders in academia (NCES, 2024). This study employed a phenomenological approach with purposeful sampling, utilizing semi-structured interviews with ten participants who had leadership experience in academia within Health and Human Services (H&HS). The interviews served to explore various aspects, such as what were their aspirations to become leaders, their perceptions of the characteristics and qualities …

Decolonizing The Whitexican: Reclaiming Identity Through Nahuatl And Mesoamerican Motifs, Laia Ivanna Vite Cano

Theses and Dissertations

This thesis explores the intersection of art, linguistics, and ideography through the lens of personal and cultural heritage rooted in the Huasteca region of Central Mexico. Drawing inspiration from familial connections to the pueblos of Huazalingo and Huejutla in Hidalgo, Mexico, the research examines the cultural complexities of bicultural and binational experiences. It is grounded in the theoretical framework of Nepantla, a concept introduced by Gloria Anzaldúa to describe the unseen space of the border life as one of existing between worlds, identities, and cultures. Included and essential to this work is the Coyolxauhqui Imperative, which informs the process of …

A Picture Tells A Thousand Words—, But Ecg Signals Have More To Say, Ashley N. Gomez

Theses and Dissertations

With the increasing adoption of deep learning classification models in the medical domain, a critical challenge remains: achieving high predictive accuracy while maintaining clinical Inter-pretability. This study examines how model architecture, dataset origin, and the use of full versus subset data affect both classification performance and Interpretability in Electrocardiogram (ECG) signal analysis. ResNet18 is evaluated using an open-source ECG Image Dataset, thus a custom dataset derived from digitized ECG images. Post-hoc explainability methods, such as Integrated Gradients, are applied to determine which time steps have the most significant influence on model decisions. The findings demonstrate that model architecture and dataset …

Cyberbullying Victimization And Suicide Behavior: The Roles Of Social Anxiety And Body-Related Comparison Among Young Latina Adults, Monica Elena Ochoa

Theses and Dissertations

Suicide behavior rates have increased over the years in the United States among Latinas and adolescents/young adults. Previous research has identified relationships between various body-related concerns, (e.g., body dissatisfaction, appearance comparison, and body shame) cyberbullying, social anxiety, and suicidal ideation, yet minimal research has examined the relationship of these factors and how they interrelate to explain suicide risk in Latina young adults. This study investigated whether body dissatisfaction, appearance comparison, and body shame had indirect effects on suicide behaviors through the interaction of cyberbullying victimization in 194 Latina college students. The results of this study found that cyberbullying victimization mediated …

Efficient Self-Supervised Representation Learning For Large-Scale Time Series Classification, Kevin Garcia

Theses and Dissertations

Recently, there has been a significant advancement in designing Self-Supervised Learning (SSL) frameworks for time series data to reduce the dependency on data labels. Among these works, hierarchical contrastive learning-based SSL frameworks, which learn representations by contrasting data embeddings at multiple resolutions, have gained considerable attention. Due to their ability to gather more information, they exhibit better generalization in various downstream tasks. However, when the time series data length is significant long, the computational cost is often significantly higher than that of other SSL frameworks. In this paper, to address this challenge, we propose an efficient way to train hierarchical …

Interpretable Alignment Of Textual Weather Reports With Local Sensor Time Series For Extreme Weather Event Visualization, Juan Luis Garza

Theses and Dissertations

This thesis presents an automated and interpretable pipeline that links natural-language weather narratives with local meteorological sensor time series. Using large language models, NOAA-style event reports are transformed into structured records capturing event type, timing, descriptive context, and uncertainty. Each extracted event is aligned with harmonized temperature, precipitation, and wind measurements from nearby weather stations, enabling systematic comparisons between narrative evidence and observed atmospheric conditions.

Across roughly fifty stations and more than two thousand events, the analyses show that discrepancies between narrative descriptions and sensor behavior arise primarily from spatial separation rather than from temporal offsets, sensor preprocessing artifacts, or …

Fractals, Reachability, And Computation In Models Of Dna Self-Assembly And Chemical Reaction Networks, Ryan Arlie Knobel

Theses and Dissertations

This thesis serves as the bridge between results compiled across varying models of tile self-assembly, molecular computation, and game complexity. As such, this thesis is broken into three chapters. In the first part, we show how to generate any Discrete Self-Similar Fractal (DSSF) with a feasible generator in the seeded Tile Assembly model, a model limited to single tile attachments and pairwise state transitions. In the next part, we study models of molecular computation, where we consider the problem of reachability in Chemical Reaction Networks and similar model extensions. The final part is a game-complexity analysis of Celtic! and k-ago, …

Ai-Driven Electromagnetic Design And Performance Prediction Of Microstrip Antennas, Eduardo Javier Vazquez

Theses and Dissertations

This thesis investigates the application of Deep Learning to automate and accelerate microstrip antenna inverse design. The initial investigation was to predict microstrip antenna performance from its geometry parametric input, and found out that forward prediction with adopted geometric representation results in ill-posed scenario, high ambiguity and unstable mapping. The study later mostly focuses on the inverse prediction by machine learning from S11 parameter input to predict antenna patch geometry parameters instead.

A dataset of 5,000 ANSYS HFSS simulated antennas (later filtered to 4,136 valid samples) was generated using cubic spine -described geometry profiles. Multiple neural architectures were adopted for …

Boundary-Layer Mechanisms In Flow Over Triangular Porous-Textured Flat Plates: A Computational Fluid Dynamics Study, Luis Angel Alvarez

Theses and Dissertations

Growing demand for energy-efficient vehicles drives research into flow control strategies that mitigate aerodynamic drag. Active devices such as morphing flaps or plasma actuators offer real-time authority but require external power. Passive concepts, including riblets, tubercles, porous coatings, and miniature vortex generators, reshape the boundary layer without additional energy input. We propose an integrated passive solution called Triangular Porous Texturing (TPT). TPT combines the two mechanisms: a periodic array of triangular prisms that generate controlled streamwise vortices, and an embedded porous matrix that locally adjusts pressure gradients near the wall. Acting synergistically, these features attenuate near-wall turbulence, redistribute momentum, and …

Design And Evaluation Of Gamified Kahoot Modules For Improving Engagement And Conceptual Understanding Of Introductory Physics Students, Yaritza Villarreal

Theses and Dissertations

This study investigates the effectiveness of gamified learning modules in enhancing the engagement and conceptual understanding of introductory physics students. The first phase of this study focused on the design and development of gamified learning modules for selected topics in introductory physics. The modules were developed by integrating principles of Backward Design, following an escape-room theme with interactive scenarios, and incorporating classic game elements (e.g., points and leaderboards).

The second phase examined the effectiveness of the gamified Kahoot modules using a pretest-posttest control-group design. Sixty-eight (68) students were equally randomly assigned to the control and experimental groups. The experimental group …

Seagrass Preference Among Pinfish In The Lower Laguna Madre, Nathaniel Garza

Theses and Dissertations

Pinfish (Lagodon rhomboides) is a common estuarine fish species found from Massachusetts to the Yucatan, Mexico. As juveniles, pinfish spend a significant portion of their life in coastal seagrasses which provide both shelter from predators and food. Along the Texas coast, there are three major species of seagrass- turtle grass (Thalassia testudinum), manatee grass (Syringodium filiforme) and shoal grass (Halodule wrightii) that differ in structural complexity. The goal of this study was to determine if pinfish associate more with one seagrass species than the others. A year-long field study was completed using twelve sample sites in the Lower Laguna Madre, …

Interactive Effects Of Nutrient Loading And Hyposalinityon The Physiological Responses Of The Red Macroalga Gracilaria Tikvahiae, Donavuan Vincent Salazar

Theses and Dissertations

Coastal macroalgae face anthropogenic stressors such as nutrient enrichment from nitrogen fertilizers and reduced salinity linked to flooding. The physiological impacts of these combined stressors remain unclear. This study examined interactive effects of nitrogen loading and hyposalinity on Gracilaria tikvahiae through a 9‑day laboratory experiment. Samples experienced declining salinity (35–0 ppt) with nitrate or ammonia enrichment (120 µmol/L). Measurements included primary production, respiration, biomass, nitrate uptake, and chlorophyll‑a. Hyposalinity significantly reduced physiological performance, with gross primary production declining over 100%, chlorophyll‑a content 25–45% lower, biomass loss, and reduced nitrogen uptake. Nitrogen enrichment failed to mitigate the adverse impacts under hyposaline …

Probing Prebiotic Rna Oligonucleotide Polymerization On A Mg-Fes Catalyst Using Microfluidics, Gabriella Garza

Theses and Dissertations

Non-enzymatic polymerization under aqueous conditions has long been viewed as unfavorable, due to product (H2O) inhibition in abiotic settings (Damer & Deamer, 2015); despite its efficiency in biology through ATP monomer activation. Geochemically sustained pH gradients may provide free energy for condensation of organic monomers (Martin & Russell, 2003). Here, we investigated a biologically analogous non-enzymatic mechanism for RNA oligomerization, by probing the catalytic properties of a Mg-rich FeS mineral under aqueous conditions. FeS minerals promote a diverse prebiotic reaction (Wächtershäuser, 1988) and would have precipitated at Hadean submarine hydrothermal systems (Sojo et al., 2016). Natural pH and redox gradients …

Applicability Of Cementochronology To Estimate Season-Of-Death In Humans: Insights From Modern Documented Collections, Olga Ibarra-Sanchez

Theses and Dissertations

Dental cementum is characterized by lifelong deposition of alternating opaque annuli in fall/winter and translucent bands in spring/summer. This study aims to test the applicability of cementochronology to estimate season-of-death, by observing the properties of the last layer, with direct implications for forensic anthropology and bioarchaeology. The sample includes canine teeth from 146 adults (84 males, 62 females), age-at-death ranging from 20-97 years (mean=61.7 years, SD=18.6 years), from two contemporary skeletal collections. Of these individuals, 78 (53.4%) died in spring/summer and 68 (46.6%) died in fall/winter. Overall accuracy was low at 64.4% (94/146). Accuracy was higher for spring/summer deaths 100.0% …

Feature Extraction From Railroad Bearing Onboard Vibration Sensors Using Machine Learning Models, Diego Cantu

Theses and Dissertations

The University Transportation Center for Railway Safety (UTCRS) has developed an algorithm capable of identifying defective railroad bearings, determining damaged component(s) within, and quantifying severity of the defects. The defect-detection algorithm requires the operating speed as an input, which is not readily available in field operation of onboard sensors. Therefore, onboard sensors deployed in rail revenue service must rely on Global Positioning Systems (GPS) to obtain speed, which can be power-intensive and susceptible to signal interference. This study covers the development of a vibration-based model that extracts operating speed from wireless sensor data to enable fully autonomous onboard diagnostics. Signal …

The Butterfly Effect: Cognitive Coachingsm As A Catalyst For Educator Learning And Lasting Change, Katie B. Givens-Martin

Electronic Theses and Dissertations

This qualitative, interpretative phenomenological analysis (IPA) research study explores instructional coaches’ perceptions of the impact of Cognitive Coaching℠ on teacher instruction, efficacy, and professional learning implementation. Findings across the four research questions reveal a cohesive perception among instructional coaches that Cognitive Coaching℠ functions as a catalyst for teacher growth, agency, and efficacy.

Coaches described their roles primarily as facilitators who guide rather than direct, emphasizing trust-building, reflection, and empowerment as essential. The findings highlight that Cognitive Coaching℠ strengthens teacher self-efficacy, which aligns with the six core principles of andragogy, with coaches observing increases in confidence, risk-taking, and professional agency. The …

Postprocessing Gan-Generated Synthetic Time Series Using Dynamic Time Warping, Md Raisul Islam Roni

Electronic Theses and Dissertations

Generative Adversarial Networks (GANs) are a class of deep learning models capable of producing realistic synthetic data that preserve the statistical and temporal characteristics of real datasets. The DoppelGANger (DGAN) framework extends this approach to time series data by jointly modeling temporal dependencies and contextual metadata. However, synthetic sequences generated by GAN may show temporal misalignment, resulting in inconsistencies when compared with real data. This study presents a postprocessing framework based on Dynamic Time Warping (DTW) and its differentiable extension Soft-DTW to improve the temporal alignment of synthetic time series. The framework is evaluated using quantitative measures of alignment and …

Exploring Denitrification In Wetland Nitrogen Cycling And Biostimulant-Based Agricultural Strategies To Improve Ecosystem Health, Alexander Bechtel

Theses

The overuse of fertilizers has doubled the amount of reactive nitrogen in the environment. Agricultural runoff then carries these pollutants into the waterways eventually causing severe ecological damage such as the Gulf of Mexico dead zone. Nitrogen plays an important role in all life on this planet, here we describe two complementary projects that investigate ways to mitigate nitrogen pollution. The first project investigates denitrification rates in soil after the Len Small Levee breached in 2016 which reconnected the Dogtooth Bend Floodplain with the Mississippi briefly. The denitrification process that began in the hydrologically activated soils was hypothesized to be …

Echo’S Repertoire: Performing Science Fiction And Trans Care Models, Juniper Blue

Theses

Echo’s Repertoire is a mixture of a passion piece and a call for more work with performing science fiction. It focuses on interpersonal communication within trans studies and the experiences of transgender individuals and myself. Echo’s Repertoire is also an example of the Lyrical Model proposed by Awkward-Rich as a new model for trans affirming speech. The show is laid out non-linearly and follows along with Echo as he starts to build new relationships with the advice of his spaceship ai, Eep, who is a previous version of himself prior to transformation (transition).