Digital Commons Network^™

Ai For Nuclear Physics: The Exclaim Project, S. Liuti, D. Adams, M. Boër, G. W. Chern, M. Cuic, M. Engelhardt, G. R. Goldstein, B. Kriesten, Y. Li, H. W. Lin, M. Sievert, D. Sivers

Computer Science Faculty Publications

An overview of the recent activity of the newly funded EXCLusives with AI and Machine learning (EXCLAIM) collaboration is presented. The main goal of the collaboration is to develop a framework to implement AI and machine learning techniques in problems emerging from the phenomenology of high energy exclusive scattering processes from nucleons and nuclei, maximizing the information that can be extracted from various sets of experimental data, while implementing theoretical constraints from lattice QCD. A specific perspective embraced by EXCLAIM is to use the methods of theoretical physics to understand the working of ML, beyond its standardized applications to physics …

Sting: A Stealthy Backdoor Attack On Gnn-Based Malicious Domain Detection Via Dns Perturbations, Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, Nhathai Phan, Ahmad Sawalmeh

Computer Science Faculty Publications

Detecting malicious Internet domains is essential for safeguarding against various online threats. The current approach to detecting malicious domains (MDD) employs a graph neural network (GNN) method, which uses DNS logs to construct heterogeneous graphs for determining the maliciousness of unknown domains. Despite its success, this method is vulnerable to data poisoning attacks where an adversary can manipulate specific graph nodes to implant a backdoor into the model during training. To showcase the vulnerability, we propose a stealthy trigger injection attack on node features and graph structure in MDD, dubbed (STING). The attacker carefully manipulates selected features and edges of …

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Effective Pii Extraction From Llms Through Augmented Few-Shot Learning, Shuai Cheng, Shu Meng, Haitao Xu, Haoran Zhang, Shuai Hao, Chuan Yue, Wenrui Ma, Meng Han, Fang Zhang, Zhao Li

Computer Science Faculty Publications

Large Language Models (LLMs) exhibit strong natural language processing capabilities but also pose significant privacy risks, particularly regarding the leakage of Personally Identifiable Information (PII) embedded in their training data. Existing PII extraction methods suffer from the limitations of low success rates or impracticality for large-scale PII extraction. In this study, we propose a novel PII extraction approach based on enhanced few-shot learning techniques, which achieves efficient and cost-effective PII retrieval without relying on fine-tuning or jailbreaking. We evaluated our approach on both open-source and closed-source LLMs. The experimental results demonstrate that, for non-targeted PII extraction, the attack success rate …

Delivery Of Medical Supplies To Remote Locations Via Unmanned Aerial Vehicles: Approaches, Challenges, And Solutions, Meshari Aljohani, Ravi Mukkamala, Stephanie Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV …

Exploring The Educational Gap Of Virginia English Language Learners: Challenges And Opportunities For Academic Success, Amanda Purcell, Sochitl Rodriguez Kauffman

UROP Posters

English Language Learners (ELLs) in the state of Virginia have significantly lower scores in the Standards of Learning (SOL) assessment exam than those of their English-speaking peers. The SOL measures students’ mastery of knowledge and skills taught in the classroom, and over the last decade, passing rates of the assessment’s core subjects amongst ELLs have continued to decrease and remain relatively low. In the 2023-2024 academic year, the average passing rate for ELLs who took the Writing SOL was only 26%, with Science being not much higher at 29%, and Reading at 33%. For the non-ELL student body, average rates …

Ocean Acidification Mitigation: Potential Expansion Of Sav Restoration Strategy In The Chesapeake Bay, Cree N. Taylor

UROP Posters

Zostera marina is a species of marine macrophyte that has been largely prioritized in past submerged aquatic vegetation (SAV) restoration initiatives within the Chesapeake Bay because of its 1) previous abundance, 2) demonstrated carbon burial abilities, and 3) observed ability for meadows of Z. marina to ameliorate low pH conditions. Due to the temperature variability and poor water quality associated with anthropogenic disturbances in the Chesapeake Bay, Z. Marina beds have experienced several die-off events with limited capacity for regrowth. This systematic review explored the possible benefits of focusing future SAV recovery initiatives on ensuring a diverse variety of SAV …

Affordable And Sustainable: Innovating Filament Extrusion For Recycled Materials, Turab S. Rizvi

UROP Posters

The chemical stability, toxicity and non-biodegradability of the polymers pose a significant environmental threat. Addressing end-of-life treatment sustainability is crucial for mitigating these issues. The customized Lyman filament extruder in the Advanced Magnetic Materials Processing Laboratory represents an innovative approach to advancing sustainability in renewable energy production and CO₂ mitigation. Redesigning the thermal system and screw operation will tackle key challenges, including precise temperature control, consistent material flow to handle diverse recycled materials. Integrating an advanced thermal regulation system will reduce the energy consumption by maintaining optimal thermal conditions, thereby lowering the CO₂ footprint of the recycling process. The optimized …

The Romanticization Of Human-Vampire Relationships: How 'Twilight' And 'The Vampire Diaries' May Prime Young Women To Accept Dating Violence, Natalie M. Bowen

UROP Posters

The first literary vampire can be traced back to 18th century Germany, with Johann Wolfgang von Goethe’s poem “Die Braut von Korinth,” but the stereotypical features of a vampire are traditionally accredited to Bram Stoker’s Dracula. Modern vampires, such as Edward Cullen and Stefan Salvatore of the Twilight and The Vampire Diaries series respectively, have managed to win the hearts of teenage girls all across America with their sex appeal and charismatic nature. According to Bandura’s Social Cognitive Theory, individuals learn new behaviors by modeling and imitating the actions of those around them. This comprehensive literature review investigates the connection …

Using Test-Crosses To Investigate Mendelian Inheritance Patterns In Brassica Rapa, Jacob Batson, Amy Nguyen, Ethan Do

UROP Posters

The Wisconsin Fast Plants, Brassica rapa, are an ideal model organism for exploring patterns of inheritance and phenotype expression due to their rapid life cycle and observable traits. In this experiment, we examined the controlled crosses between the two phenotypes, anthocyanin-producing (ACN) and anthocyaninless (ANL), to observe allele inheritance. We observed phenotypes in the F1 generation to see if it followed the Mendelian inheritance patterns of homozygous dominant. By planting and watering the plants for two weeks, we tracked their growth and traits of ACN and ANL phenotypes. We used honey bees to cross pollinate the parent ACN and ANL …

Analysis Of Differential Gene Expression In Androgen-Independent Clones Derived From The Mycap Pca Cell Line, Jessie L. Tignor, Melanie Sinanian, Richard Inho Joh, David Gewirtz, Jason Reed

UROP Posters

Androgen deprivation therapy (ADT) is a primary treatment strategy for prostate cancer (PCa), yet many tumors eventually develop androgen independence, leading to treatment resistance. To investigate the molecular changes underlying this transition, we analyzed differential gene expression in four androgen-independent (AI) clones derived from the Myc-CaP prostate cancer cell line using RNA sequencing. Gene expression profiles were compared to the parental Myc-CaP line, and differentially expressed genes (DEGs) were identified using DESeq2 and edgeR. The AI clones exhibited significant downregulation of senescence-associated genes, including Ezh2 and lamin B1, suggesting a loss of senescence-related chromatin repression. Additionally, upregulation of Wnt pathway …

The Built Environment And The Systemic Agenda, Heciel J. Nieves Bonilla

UROP Posters

The built environment in the United States, characterized in large part by suburban sprawl and car-dependent infrastructure, has significant negative impacts on public health, economic mobility, and environmental sustainability. This paper examines the consequences of car-centric development, highlighting its role in exacerbating social and economic inequalities, increasing traffic-related fatalities, and contributing to climate change through excessive carbon emissions. The analysis reveals that a majority of Americans feel forced into car ownership due to inadequate alternative transportation options, leading to financial strain and adverse health outcomes, including obesity and air pollution-related diseases. The historical roots of these development patterns are traced …

Acer Rubrum: Descending Towards Forest Dominance, Elyssa L. Pearson, Christopher M. Gough

UROP Posters

Acer rubrum, more commonly known as the red maple, is a hardwood, late successional species of tree commonly planted for its deciduous nature and vibrant coloring of its leaves in the beginning of autumn (Abrams, 1998). The species is very tolerant of varying light and soil moisture levels and often dominates sub and mid-canopy levels of hardwood forests (Missouri Botanical Gardens). It was hypothesized that as the I moved from an upland location to a lowland location near a wetland that the A. rubrum trees would be more productive and have a greater above ground biomass. This was not …

Examining Sociodemographic And Clinical Factors Associated With Smoking Behaviors Among Black Breast And Gynecological Cancer Survivors, Ida M. Adeso, Jian He, Ashley Turner, Arnethea L. Sutton

UROP Posters

Black breast and gynecological cancer survivors experience poorer outcomes than their non-Black counterparts. Although multifactorial, one contributor may be cigarette smoking behaviors. The purpose of this study was to identify demographic, clinical, and social drivers of health (SDoH) factors associated with smoking behaviors in Black breast and gynecological cancer survivors.

We conducted a secondary analysis of survey data collected from an ongoing cross-sectional study. Summary statistics (e.g., means, frequencies) were computed for all factors of interest. Chi square test of independence, t test, and logistic regression assessed the associations between demographic, clinical, and SDoH factors (e.g., social support) and the …

Still Faces, Different Places: An Assessment Of The Literature On The Face-To-Face Still Face Procedure For Cultural Congruence, Merilyn Arikkat, Leslie B. Lantz, Patricia Kinser

UROP Posters

Cultural understanding is a factor that impacts reliability of research results for observational studies. It is important to include participants of minority groups in research, as many people of color face disproportionate challenges in terms of healthcare access and resources. Within the context of mother-infant attachment, a technique known as the Face-to-Face Still Face procedure can be utilized to observe attachment styles and the bond between a parent and their infant. In order to combat subjectivity within the coding process for this Face-to-Face Still Face procedure, cultural congruence between the participants being observed in the study and the coding researchers …

Using Fungal Dna Barcoding To Identify Fungal Species In A James River Park System Soil Microbiome, Erwin Murray, D Jennings

UROP Posters

Fungi in the soil have the ability to form mutualistic relationships with plant roots and improve the way they resist a variety of plant diseases and abiotic stressors, influencing the survivability of the plants. The James River Park System (JRPS) is home to a variety of ecosystems that support diverse plant and fungal populations, including native plants and invasive plants. Therefore, it is important to identify what is present in the soil microbiome. The purpose of this project is to isolate fungal sequences from soil samples collected in the JRPS to identify what fungal species are present in the JRPS …

Isolation And Molecular Identification Of Pathogens Causing Sea Turtle Egg Fusariosis In Key Nesting Beaches In Costa Rica, Keilor E. Cordero-Umaña, Ruth Hernando-Martínez, María Martínez-Ríos, Jaime Restrepo, Roldán A. Valverde, Laura Martín-Torrijos, Pilar Santidrián Tomillo, Javier Diéguez-Uribeondo

School of Earth, Environmental, & Marine Sciences Faculty Publications

The global rise of fungal pathogens presents an emerging threat to biodiversity, with significant risks to species such as endangered sea turtles. The fungal disease known as sea turtle egg fusariosis (STEF) is associated with high embryo mortality rates and represents a substantial conservation challenge. This disease is caused by two fungal species, namely Fusarium falciforme (Ff) and Fusarium keratoplasticum (Fk), and their identification is essential for guiding future efforts to address potential fungal infections, particularly on important nesting beaches such as those in Costa Rica. In this study, we conducted fungal isolations from sea turtle eggshells …

Doping Hybrid Photopolymerisable Glass With Bodipy Photosensitiser: An Efficient Approach To Improve Uv-Resistance, Luca Sorridente, Tatsiana Mikulchyk, Metodej Dvoracek, Mikhail A. Filatov, Izabela Naydenova, Kevin P. Murphy

Conference Papers

The development of photosensitive materials with improved performance and extended functionality is crucial for advancing holographic technologies. This study presents the modification and characterization of a recently reported photopolymerisable glass composition, focusing on achieving an optimal balance between maximizing photosensitivity of the material during recording and minimizing the impact of UV light on the performance of the recorded holographic structure. Building on these findings, the ultimate goal is to develop UV-resistant holographic optical elements for wavefront sensing in space applications. The research approach is based on introducing a photosensitiser with weaker UV absorption than the typically used in this material …

Unprecedented Visible Light-Initiated Topochemical [2 + 2] Cycloaddition In A Functionalized Bimane Dye, Metodej Dvoracek, Brendan Twamley, Mathias O. Senge, Mikhail A. Filatov

Research Outputs: 2025-Present

Bimanes, a class of molecules based on the 1H,7H-pyrazolo[1,2-a]pyrazole-1,7-dione scaffold, were first introduced by E. M. Kosower in 1978. In this study, we report the topochemical cycloaddition of diethyl 2,6-dichloro-1,7-dioxo-1H,7H-pyrazolo[1,2-a]pyrazole-3,5-dicarboxylate (Cl₂B), initiated by visible light. Crystal structure analysis confirmed that the reactive double bonds are parallel and coplanar, in line with the Schmidt criteria for topochemical cycloaddition. Additionally, two other bimane derivatives with different substitution patterns were synthesized and investigated. Our findings suggest that functionalizing bimanes to redshift their absorption maxima into the visible-light spectrum provides a promising strategy for synthesizing substituted cyclobutanes without the need for ultraviolet …

A New G Family: Properties, Characterizations, Different Estimation Methods And Port-Var Analysis For U.K. Insurance Claims And U.S. House Prices Data Sets, Ahmad M. Aboalkhair, Gholamhossein Hamedani, Nazar Ali Ahmed, Mohamed Ibrahim, Mohammad A. Zayed, Haitham M. Yousof

Mathematical and Statistical Science Faculty Research and Publications

This paper introduces a new class of probability distributions, termed the generated log exponentiated polynomial (GLEP) family, designed to enhance flexibility in modeling complex real financial data. The proposed family is constructed through a novel cumulative distribution function that combines logarithmic and exponentiated polynomial structures, allowing for rich distributional shapes and tail behaviors. We present comprehensive mathematical properties, including useful series expansions for the density, cumulative, and quantile functions, which facilitate the derivation of moments, generating functions, and order statistics. Characterization results based on the reverse hazard function and conditional expectations are established. The model parameters are estimated using various …

A Bayesian Complex-Valued Latent Variable Model Applied To Functional Magnetic Resonance Imaging, Chase J. Sakitis, D. Andrew Brown, Daniel B. Rowe

Mathematical and Statistical Science Faculty Research and Publications

In linear regression, the coefficients are simple to estimate using the least squares method with a known design matrix for the observed measurements. However, real-world applications may encounter complications such as an unknown design matrix and complex-valued parameters. The design matrix can be estimated from prior information but can potentially cause an inverse problem when multiplying by the transpose as it is generally ill-conditioned. This can be combat by adding regularizers to the model but does not always mitigate the issues. Here, we propose our Bayesian approach to a complex-valued latent variable linear model with an application to functional magnetic …

Bayesian Merged Utilization Of Grappa And Sense (Bmugs) For In-Plane Accelerated Reconstruction Increases Fmri Detection Power, Chase J. Sakitis, Daniel B. Rowe

Mathematical and Statistical Science Faculty Research and Publications

In fMRI, capturing brain activity during a task is dependent on how quickly the k-space arrays for each volume image are obtained. Acquiring the full k-space arrays can take a considerable amount of time. Under-sampling k-space reduces the acquisition time, but results in aliased, or “folded,” images after applying the inverse Fourier transform (IFT). GeneRalized Autocalibrating Partial Parallel Acquisition (GRAPPA) and SENSitivity Encoding (SENSE) are parallel imaging techniques that yield reconstructed images from subsampled arrays of k-space. With GRAPPA operating in the spatial frequency domain and SENSE in image space, these techniques have been separate but can …

Accuracy And Repeatability Of Autorefraction In Young Adults: A Comparison Of Cycloplegic And Non-Cycloplegic Methods, Megan Doyle, Veronica O'Dwyer O'Dwyer, Michael Moore, Síofra Harrington

Articles

Clinical Relevance: Cycloplegic refraction remains crucial in young adults, where accommodative activity can obscure accurate refractive status. Autorefractor repeatabil­ity is essential for precise optical correction and refractive error categorisation in clinical and research settings.

Background: Cycloplegic autorefraction is recommended for individuals up to 20 years to prevent hyperopia underestimation and myopia overestimation. This study evaluated differences between non-cycloplegic and cycloplegic spherical equivalent refraction following cyclopentolate hydrochloride (cycloplegic agent) administration in young adults. This study also explored whether this difference varied by refractive status (hyperopia (≥1.00D), emmetropia ( >−0.50, < 1.00D), myopia (≤-0.50D)) or pre- instillation of proxymetacaine hydrochloride and whether cycloplegia improved autorefractor repeatability.

Methods: Participants were 182 young adults (17–30 years) (mean (standard deviation): 21.66 …

Therapy In The Age Of Ai: How Young Adults Seek Help, Support, And Solutions, Faith Maeba, Isabella Quilon, Abigail Adade

UROP Posters

Therapy has long been a foundational approach for addressing mental health, but advances in digital technology have led many young adults, especially Generation Z, to increasingly turn to AI tools for support. Rising costs, limited access to providers, and long wait times have further boosted the appeal of AI-based mental-health solutions. Despite this growing interest, the use of AI for emotional and psychological support raises important questions about trust, empathy, safety, and the ethical responsibilities of mental-health providers and developers. We conducted a brief scoping review of research on AI-based mental-health tools and student help-seeking behaviors. Searches were performed on …

The Science Of Gaelic Football Match‑Play And Recommendations For Future Research Directions: A Narrative Review, Kate Timmons, Kieran Collins, Shane Mangan

Articles

In recent years, research in Gaelic football has increased. However, the relationship between training demands and match-play demands is not fully understood and requires further investigation. Due to the stochastic nature of the sport, distances covered in match-play have a positional profile and a reduction in match-play running performance has been observed. The physiological demands of match-play at each level remain underexplored. Likewise, performance analysis is a growing area in Gaelic football, with performance indicators, such as possession, productivity, shot efficiency, and kickouts, providing valuable insights to players and coaches during and post-game. This review synthesises current literature on physical …

Systematic Co-Culture Of Ipsc-Cm And Ipsc-An Promote Co-Maturation In Vitro, William Gregory Terrell Jr.

Graduate Dissertations and Theses

The cardiac microenvironment is a complex system of multicellular interactions that enables proper heart function. In native heart muscle, sympathetic neurons (SN) and parasympathetic neurons (PSN) modulate the beat rate of cardiomyocytes (CM) to maintain homeostasis. Pluripotent stem cells can differentiate into CM, but differentiated CMs are fetal-like, with a high beat rate, and lack organized sarcomeric structure. Recent reports of co-cultured pluripotent CM/SN pairs have reported electrophysiological changes in the SN (increased upstroke velocity). However, interpretation of these results are obscured by the differences in co-culture parameters between studies (stage of development, co-culture duration, etc.). The goal of this …

Ecobuoys For Scalable Oceanography, Anuscheh Nawaz, Michael Steele, Ruth Branch, David Burnett, Kuotian Liao, Mallory Parker, Eleftheria Roumeli

Electrical and Computer Engineering Faculty Publications and Presentations

An approach to scalable surface-drifting buoys is needed to enable the high spatial and temporal resolution of oceanographic data that the science and meteorological communities are asking for. With the number of active buoys predicted to increase by a factor of 100 or more, the impact on the environment becomes even more important. Here, we present a pathway to a scalable and sustainable generation of buoys. We identify the main criteria to be used when developing such buoys to be low cost, with reliable data and neutral or even positive environmental impact. For each buoy subsystem—hull, electronics, energy generation and …

Work In Progress: Using Internships As Means For Indirect Assessment Of Abet Criteria 3 “1-7” Student Outcomes, Robert Bass

Electrical and Computer Engineering Faculty Publications and Presentations

The Electrical & Computer Engineering (ECE) Department at Portland State University (PSU) has developed a Power Engineering Internship (PEI) program that provides engineering career development pathways within the electric utility industry. The PEI is supported by several U.S. Department of Energy grants that aim to develop quality career opportunities and develop a future electric utility workforce that represents the nation’s diverse populations. The PSU ECE Department intends to use surveys of internship participants as assessment tools for its ABET accreditation process, in particular, the ABET Criteria 3 Student Outcomes (SOs). SOs relate to the knowledge, skills, and behaviors that students …

An Offline Approach For Frequency Event Detection In Power Systems: Tkeo And Statistical Analysis, Hussain A. Alghamdi, Midrar Adham, Umar Farooq, Robert Bass

Electrical and Computer Engineering Faculty Publications and Presentations

The increasing integration of renewable energy sources in power grids and the transition from conventional thermal-based generation to inverter-based resources for power generation have reduced power system inertia and increased the rate of change of frequency, which constitutes a challenge for frequency stability in modern power systems. These changes necessitate robust frequency event detection algorithms that can rapidly and accurately identify events, providing essential support to maintain stability. This paper proposes a frequency event detection algorithm with six tunable parameters for offline post-processing, leveraging the Teager-Kaiser Energy Operator method and statistical analysis. The algorithm is tested on a dataset comprised …

End-Less, Marzo Kaisin

Grado en Gestión y Comunicación de la Moda

END-LESS es una marca de moda de segunda mano que busca redefinir el valor percibido de las prendas a través de la narrativa, la autenticidad y la sostenibilidad.

Al crear un nuevo sistema de compra y venta, END-LESS ofrece una nueva experiencia para el usuario, creando un proceso de imaginación detrás de la indumentaria y de su historia. La esencia de la marca se basa en un modelo de negocio que expone narrativas, características y elementos que rodean a cada prenda. Mediante componentes sensoriales, tanto visuales como auditivos, el usuario logra sumergirse en un proceso de compra único, en el …