Digital Commons Network^™

Design And Testing Of A Vr Escape Room Game For Philippine Martial Law History, Eric Cesar Vidal, Jr., Johanna Marion R. Torres, Jesus Alvaro Pato, Kenneth King L. Ko

Department of Information Systems & Computer Science Faculty Publications

This paper presents a Virtual Reality Educational Escape Room game where players learn about the highly divisive Martial Law period in Philippine history. We describe the game’s general design and the results of a user test to evaluate the game in terms of VR presence, immersion, and overall usability.

Investigating The Performance Of Fibre Reinforced Plastic Repairs To Timber Marine Civil Structures At His Majesty’S Naval Base Devonport, Anna G. Walther

The Plymouth Student Scientist

This paper explores Fibre Reinforced Plastics (FRPs) as a composite repair method to restore and enhance mechanical properties of timber marine civil structures within the context of His Majesty’s Naval Base (HMNB) Devonport. To support this, timber composite specimens were manufactured and subjected to flexural and compressive strength tests. Comparisons are made to literature sources for initial predictions, in addition to hand calculations and Finite Element Analysis (FEA) models on SolidWorks. Data demonstrates that FRPs can be used as a cost-effective and beneficial method of repairing timber marine structures. Experimental data demonstrates an ability to restore compressive strength parallel to …

Assessing Cognitive Performance And Comfort Under Simulated Mri Noise And Its Association With Autistic Like Traits, Jasmin Woodhouse

The Plymouth Student Scientist

Magnetic Resonance Imaging (MRI) scanners produce noise levels between 65 and 130 decibels. This noise, alongside the broader sensory environment of the MRI, poses challenges for individuals with autism spectrum disorder (ASD). Noise exposure has been shown to impair task performance, increase errors, and affect brain activity. ASD traits are associated with decreased sound tolerance, including hyperacusis, misophonia, and phonophobia. In ASD, noisy environments disrupt inferior frontal gyrus function, impairing task response and brain connectivity. Given this, it’s crucial to understand how these sensory challenges specifically affect ASD experience and performance during MRI procedures. This study assesses cognitive performance and …

Vacuum-Assisted Resin Transfer Moulding (Vartm): Can Ultrasonic Vibration Decrease Fill Time, Increase Composite Properties, And Reduce Void Formation, Iulia D. Precup

The Plymouth Student Scientist

This study investigated the potential of ultrasonic vibration (28 kHz) to optimize the Vacuum-Assisted Resin Transfer Moulding (VARTM) process. The aim was to assess whether introducing ultrasonic vibration during the resin infusion phase could reduce fill time, improve mechanical properties, and minimize void formation in glass fibre-reinforced polyester composites. Two flexible tooling systems were compared: a reusable silicone membrane and a traditional vacuum bag. Composite plates were manufactured with and without ultrasonic vibration for both systems. Fill time was observed, and post-cured samples were subjected to mechanical testing for flexural modulus, flexural strength, and interlaminar shear strength (ILSS). Void content …

Analysis Of Organic Compounds Extracted From Recycled Polypropylene Via Gc-Fid/Ms And Pyr-Gc-Ms For Future Pharmaceutical Applications, India E. Hateley

The Plymouth Student Scientist

A mandatory target for 30% of plastic packaging to be recycled has been proposed by 2030, in order to mitigate the problem of plastic waste being incinerated or deposited in landfills. However, during the recycling process additives are added and with polypropylene being used for plastic packaging and surgical masks, these additives need to be analysed for the presence of contaminants. Examples include VOCs, PAHs, phthalates, and brominated diphenyl’s, all of which have health issues. Two samples of recycled polypropylene pellets were obtained from a national recycling company, along with a reference pellet purchased through Sigma-Aldrich. All pellets underwent ultrasound-assisted …

Detecting Concealed Autobiographical Information Using Feedback And Recognition P300 Erps. Exploring The Impacts Of Changed Feedback Proportions And Social Pressure In The Fcit, Cerys Parkinson-Johns, Grace Shillito, Callum Starr, Rosemary Wilmshurst

The Plymouth Student Scientist

The feedback concealed information test (fCIT) incorporates feedback on memory concealment performance within the classical CIT. Providing feedback facilitates the analysis of feedback related ERPs in addition to initial recognition related ERPs within each trial. Combining multiple ERPs aims to improve the reliability and efficiency of the test. The present study investigated the efficiency of combining recognition and feedback related P300 ERPs in detecting concealed birthdates in a personal item fCIT. Feedback proportions were altered to improve believability in feedback. Detection efficiencies using combined P300 amplitudes within this altered paradigm and the impacts of social pressures on feedback P300s were …

A Generational Analysis Of Psychological Motivators Influencing Seafarer Retention, Perisah Tahanci

The Plymouth Student Scientist

Seafarer retention is a growing concern amid increasing global demand for skilled maritime officers. This study investigates the generational differences in psychological motivators influencing seafarer retention, where ‘psychological motivators’ encompass the cognitive factors, including mental and physical wellbeing, work-life balance, compensation, working conditions, and external factors, that shape retention intentions. A cross-sectional survey (n=214) combined quantitative and qualitative analyses to systematically assess how the perceived importance and experience of these factors vary across Generation Z, Millennials, Generation X, and Baby Boomers.

The findings reveal that significant generational differences exist across most factors, particularly in work-life balance and mental wellbeing, in …

All Rivers Reach The Sea: Can We Improve Ocean Conservation Through Improving Public Understanding Of The Connections Between Marine And Terrestrial Systems?, Lauren Hind

The Plymouth Student Scientist

With marine environments facing growing threats and their connections to terrestrial environments often disregarded, understanding public perceptions of these connections is crucial for effective ocean conservation. This study aimed to assess public understanding of the interconnectedness of marine and terrestrial environments and its influence on ocean conservation efforts. To achieve this, two questionnaires (N=560) were distributed among over 18’s (N=301) and under 18’s (N=259) evaluating their knowledge on the connections between marine and terrestrial environments, engagement with conservation and views on education and responsibility. The results indicated a limited understanding and awareness of marine-terrestrial connections, particularly among under 18’s. Current …

What Environmental Circumstances Generate Hazardous Wave Overtopping Conditions For Infrastructure Disruption: Dawlish (United Kingdom) Case Study, Zbigniew Tomasz Zielonka

The Plymouth Student Scientist

Coastal infrastructure faces increasing threats from wave overtopping due to climate change, rising sea levels, and intensifying storms. This research investigates the environmental conditions that drive hazardous wave overtopping using Dawlish, a vulnerable section of the UK’s railway, as a case study. Understanding these conditions is essential for improving knowledge, developing effective mitigation strategies, and enhancing the resilience of shoreline defences against future challenges. Using one-year observations from WireWall instruments, offshore wave buoy, and meteorological data, the research applies a Random Forest model to assess the influence of metocean conditions on overtopping. The results indicate that wave height, tidal level, …

Assessing Overtopping Hazard To The Dawlish Railway Line: Integrating Wave Propagation Models For Coastal Metocean Condition Analysis, Matthew R. Owen

The Plymouth Student Scientist

With rising sea levels and increasingly frequent and intense storms due to climate change, coastal communities and structures are at an increasing risk of overtopping occurring. This study investigates the coastal metocean conditions responsible for overtopping at coastal defences, using Delft3D to model these processes with Dawlish as the case study site. Wave propagation models were employed to simulate metocean conditions from December 2021 to March 2022 to compare inshore wave conditions, alongside water level and wind parameters, with observed overtopping data from the WireWall system installed on top of the seawall, next to the railway line. The results indicate …

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 …