Digital Commons Network^™

Los Pescadores, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Analyzing Headers With Chatgpt, Raymond Rosas

Open Educational Resources

This assignment invites students to examine how section headers function as rhetorical and organizational tools in research writing by analyzing headers generated by ChatGPT. Using a shared sample text, students prompt generative AI to produce multiple sets of headers that foreground different analytical emphases (e.g., race or language). Students then compare these AI-generated headers to identify how shifts in emphasis reshape the implied structure, focus, and interpretation of a text. Through analysis and reflection, students use these insights to inform their own planning for inquiry-based research writing, while critically evaluating the affordances and limitations of generative AI at an early …

A Systematic Review Of Artificial Intelligence For Software Requirements In Open-Source Software, Amal Alharbi, Khaled Slhoub

Electrical Engineering and Computer Science Faculty Publications

Software stakeholders have seamlessly integrated artificial intelligence technologies into the requirements engineering processes for open-source software, which presents both opportunities and challenges. This systematic literature review examines the current state of artificial intelligence application in requirements engineering for open-source software and emphasizes the opportunities and challenges faced by practitioners. Based on the reviewed literature, artificial intelligence technologies, such as machine learning, natural language processing, large language models, and deep learning techniques, have been increasingly applied to support key requirements engineering activities, particularly requirements elicitation, classification, prioritization, and stakeholder analysis. However, the lack of structured data in open-source software directly challenges …

Counting Constraints In Pomdps Based On Pid Controllers, Garrett Gmeiner, Patrick Quinn, Asmaa Alqurashi, Prem Swaroop Pochiraju, Mirajul Islam, Jackson Contreras, Sajina Pathak, Rwaida Alssadi, Sumana Boyapalli, Raghavendra Mallesha, Vijay Uppalapati, Javier Laboy-Jusino, Nikiraj Konwar, Muntaser Syed, Marius Silaghi

Electrical Engineering and Computer Science Faculty Publications

A Bayesian architecture is proposed for integrating counting constraints in the process of decision making with Partially Observable Markov Decision Models for robotics. In addressed problems, the counted events are detected with noisy sensors, making their detection uncertain. We handle their count as a random variable to be updated on observations. In our test scenario, an iRobot Create3 moves along a hallway and needs to count how many doors it passes while following the wall. After detecting that the given number of doors have been passed, the robot should turn around and return to the starting region. For this kind …

Equity In Coastal Resilience: A Framework For University Engagement In Community-Based Projects, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Marina Saitgalina, Ogechukwu N. Nwandu-Vincent, Khairul A. Anuar, Thomas Allen, Joshua Behr

School of Public Service Faculty Publications

As communities face intensifying climate hazards, it is vital to strengthen resilience in ways that explicitly prioritize social equity. This study examines how higher education institutions can better support government, nonprofit, and community partners in advancing equity-centered coastal resilience in the U.S. Utilizing a qualitative research design, we analyze discussions among researchers and practitioners during a three-day workshop. We present a framework derived from a thematic analysis of breakout group transcripts from a three-day national virtual workshop involving 113 researchers and practitioners. The analysis identified four core themes: the necessity of aligning projects with community-defined priorities; the foundational role of …

The Lens Of Farmers: Understanding Culture To Improve Occupational Therapy Care, Allison Marie Stephani

Occupational Therapy Capstones

Introduction: Accessible healthcare is essential for farmers due to their limited available time and hazardous job duties (Hildebrand et al., 2019; Hopkins et al., 2023; Salmon et al., 2025; U.S. Department of Agriculture, 2023). Due to the high incidence of injuries that occur within the profession, it is crucial that farmers seek appropriate healthcare services to address these concerns. However, a significant barrier for seeking healthcare assistance is the limited cultural competence among healthcare professionals in understanding the unique needs within farming communities (Gordon et al., 2024; Hildebrand et al., 2019; Hopkins et al., 2023; Purc-Stephenson et al., 2024). The …

Introduction Of Occupational Therapy Into A Suburban Supportive Housing Organization, Madeline Kuntz

Occupational Therapy Capstones

Abstract: Unhoused individuals experience compounded barriers beyond housing access and are often underserved within occupational therapy practice. This doctoral capstone project partnered with a nonprofit residential program to develop a research-informed onboarding manual grounded in the holistic occupational therapy framework, Model of Human Occupation (MOHO, O’Brien, 2017). The manual was designed to clarify expectations of the supportive housing program, address diverse resident needs, and promote independence as the organization expands. Development was informed by a comprehensive literature review and informal needs assessment of the organization, identifying anticipatory barriers and supports commonly experienced prior to program entry. Key areas of need …

Pathways To Participation: Enhancing Inclusion For Individuals With Idd, Katie Koxlien

Occupational Therapy Capstones

Background: Youth with intellectual and developmental disabilities (IDD) continue to experience barriers to meaningful community participation despite policies promoting inclusive community-based services (Friedman, 2017). Sensory sensitivities, difficulty with transitions, and overstimulating environments frequently limit engagement and increase anxiety or behavioral responses when appropriate supports are not present (Bagatell et al., 2022; Dean et al., 2018; Tint et al., 2017). Research indicates that inclusion requires intentional programming that incorporates structured supports, consistent routines, and opportunities for meaningful engagement (Edwards et al., 2021; Hall, 2016).

Methods: The purpose of this scholarly project was to develop a week long sensory exploration camp for …

Social Safety And Social Security: Validating Context-Specific Instruments For Slums, Liss D. Romero, Katherine Palacio, Zacheous Ako Abang, Valeria Silgado, Humberto Llinas, Leidy González, Erika Frydenlund, Daniel Bolivar, Jose J. Padilla

VMASC Publications

Social safety and social security are concepts that help explain a community's well-being by assessing how it manages and mitigate existing, or perceived, risks. However, these terms are often conflated, which can limit understanding, particularly in areas with unstable living conditions. This study explores both concepts in the context of residents living in slums. As the number of displaced people grows, slums and informal settlements are becoming increasingly common worldwide, making it essential to clarify these concepts. Residents of slums face numerous hazards, including crime, violence, inadequate housing, overcrowding, and limited access to essential services. To measure social safety and …

Socio-Spatial Patterns Of Suicide Mortality In The United States, Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar

VMASC Publications

Suicides cause more than 49,000 deaths per year in the United States, including 55% associated with the use of a firearm. Across states and counties in the US, suicide mortality exhibits substantial geographical and sociodemographic heterogeneity. However, the role of large-scale social networks in shaping this variation remains underexplored. To assess how both the risk of suicide mortality and the effect of firearm restriction policies propagate through inter-county social ties, we integrate data on county-level suicide mortality (2010–2022) and the Facebook Social Connectedness Index (SCI), a continuous measure of the strength of social ties between counties used to derive weighted …

Synergistic Sensitization Of Pancreatic Cancer Cells By Nanosecond Pulsed Electric Fields And Cold Atmospheric Plasma Via Amplifying Ros And Apoptotic Signaling, Zobia Minhas, Edwin A. Oshin, Lifang Yang, Chunqi Jiang, Siqi Guo

Bioelectrics Publications

Pancreatic cancer remains a highly lethal malignancy, with standard therapies offering limited benefits in advanced stages; thus, novel strategies that exploit specific cancer cell vulnerabilities are urgently needed. Building on our previous findings that nanosecond pulsed electric fields (nsPEF) combined with cold atmospheric plasma (CAP) produce enhanced cytotoxicity, this study investigates the molecular mechanisms underlying this synergy. Pan02 pancreatic cancer cells were subjected to nsPEF, CAP, or a combination of both. We assessed cell viability, reactive oxygen species (ROS) production, and mitochondrial integrity using metabolic assays, flow cytometry, and fluorescence microscopy. Apoptotic markers were evaluated via Western blotting and caspase …

Nanosecond Electric Pulses As A Novel In Situ Vaccination Strategy For Cancer Treatment: Mechanisms, Challenges And Prospects, Siqi Guo

Bioelectrics Publications

Nanosecond electric pulses (nsEPs) are an emerging pulsed-power technology with unique bioelectric characteristics distinct from conventional long-pulse electroporation. As a tunable physical modality, nsEPs can modulate intracellular structures, membrane dynamics, and signaling pathways. Increasing evidence supports nsEPs as a promising non-thermal tumor ablation approach due to their high spatial precision, preservation of critical tissue structures, and minimal adverse effects. One of the most significant discoveries associated with nsEP tumor ablation is the induction of potent systemic antitumor immunity, particularly in situ vaccination (ISV) effects and, in some cases, abscopal effects against distant untreated tumors. Substantial evidence demonstrates that nsEPs can …

Internationalization Struggles And Student Mobility: Ethnic Exclusion And Racism In Philippine Higher Education, Yasmin Y. Ortiga

Research Collection School of Social Sciences

There is an extensive literature on student mobility that seeks to understand the nature of, rationales for and consequences of internationalisation in higher education. This scholarship primarily focusses on students studying in the ‘west’. This paper shows how ‘atypical’ student destinations also illuminate the contradictions of internationalisation, revealing the challenges faced by higher education settings beyond academic centres in the west. Drawing on the case of the Philippines, I discuss how private universities actively recruited international students to maximise profits from student tuition. Yet, these efforts led to a backlash among Filipino educators and students, prompting administrators to institute policies …

Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu

Research Collection School Of Computing and Information Systems

Semi-supervised community detection seeks to find a specified community type when only few communities are labeled. Existing "select-then-refine" pipelines often start from mis-aligned cores and rely on Reinforcement-Learning or Generative Adversarial Network, increasing computational cost and limiting scalability. We address these issues with a unified energy framework under crystallization kinetics that jointly models energy, structure, and growth. Based on this perspective, we propose CLique ANNealing (CLANN), which first employs Nucleus Proposer to select candidate clique as community core under four physics-inspired criteria. A learning-free Transitive Annealer then iteratively merges neighboring cliques and repositions the nucleus, enabling spontaneous, scalable community growth. …

Potent But Stealthy: Rethink Profile Pollution Against Sequential Recommendation Via Bi-Level Constrained Reinforcement Paradigm, Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen

Research Collection School Of Computing and Information Systems

Sequential Recommenders, which exploit dynamic user intents through interaction sequences, are vulnerable to adversarial attacks. While existing attacks primarily rely on data poisoning, they require large-scale user access or fake profiles, thus lacking practicality. In this paper, we focus on the Profile Pollution Attack that subtly contaminates partial user interactions to induce targeted mispredictions. Previous PPA methods suffer from two limitations, i.e., i) overreliance on sequence horizon impact restricts fine-grained perturbations on item transitions, and ii) holistic modifications cause detectable distribution shifts. To address these challenges, we propose a constrained reinforcement driven attack CREAT that synergizes a bi-level optimization framework …

Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou

CMC Senior Theses

This thesis studies volatility modeling in the context of risk parity portfolio construction. I compare three risk parity portfolios that differ only in their underlying volatility model: a historical covariance baseline, a Bayesian stochastic volatility model, and a GRU–GARCH hybrid neural network. Using daily returns on Kenneth French’s five industry portfolios from January 2016 through December 2025, I construct monthly rebalanced portfolios under each model, with the SV and GRU forecasts embedded in hybrid covariance matrices that combine forecasted volatilities with rolling historical correlations. The results document a divergence between forecast accuracy and portfolio performance: the SV model is the …

Why Dining Out Stayed Cheap In Japan, Taketo Hayashi

CMC Senior Theses

This thesis examines why food-away-from-home inflation in Japan was persistently lower than in the United States from 1995 to 2021 and why this dynamic changed after 2021 during the COVID-19 pandemic. Two structural buffers sustained the divergence: wage stagnation in Japan, which kept restaurant labor costs flat for nearly three decades, and a strong yen, which absorbed global commodity price shocks before they could reach restaurant menus. In 2008, the financial crisis sent food and energy prices skyrocketing. However, even though Japan imports most of its food and energy, the effects from global price increases were due to a strong …

Rethinking Reentry In The United States: A Comparative Analysis Of Incarceration Strategies In Norway, Singapore, And Austria, Amelia Ulmer

CMC Senior Theses

The prison reentry system in the United States remains a pressing social, economic, and political issue, as hundreds of thousands of prisoners are released each year with few resources to assist them with their transition. In fact, these previously incarcerated people are arguably set up to fail, which leads to over half of them reoffending within two years. This thesis analyzes how the United States should reform its current prison system based on lessons learned from three international case studies. These three case studies, Norway, Singapore, and Austria were chosen as countries that have globally low recidivism rates and unique …

Neuroimaging Correlates Of Differences In Learning From Repeated Probabilistic Outcomes, Allison E. Rudolph

CMC Senior Theses

Learning from experience requires integrating feedback over time, yet individuals vary widely in how effectively they extract structure from probabilistic environments. This study examined how such variability relates to neural responses in the ventral striatum (vStr), caudate nucleus, hippocampus, and medial prefrontal cortex (mPFC). Seventy-four participants across childhood, adolescence, and adulthood completed a modified Iowa Gambling Task during fMRI scanning, choosing whether to play or pass on four machines differing in expected value and variance. Behavioral learning slopes, calculated across six runs for each machine, were used to classify participants as learners or non-learners. Learners showed clearer improvement over time …

Sinking City To Breakthrough City: A Political Analysis And Evaluation Of Indonesia's Capital City Relocation From Jakarta To Nusantara, Yuji Jones

CMC Senior Theses

This paper analyzes Indonesia’s national decision to move its capital city from Jakarta to Nusantara. Indonesia is facing a dire catastrophe in its most populous city. The land surrounding Jakarta is sinking, and without significant mitigation efforts, the streets will be submerged by 2045. This is a slow-motion disaster coming for Indonesia and Jakarta. This left the country with a crucial decision: to save the capital city. In response to this environmental crisis, Indonesia’s government has committed to making a nationwide and ambitious decision to move the capital to Nusantara, a smaller city bustling with tropical forests 1,000 kilometers away, …

The Impact Of Asu 2023-08 On Reported Profitability Of Cryptocurrency-Exposed Firms, William C. Graff

CMC Senior Theses

This study investigates the performance of corporate cryptocurrency holdings in the context of recent accounting regulation changes. It specifically examines how adopting Accounting Standards Update (ASU) 2023-08 has affected firms with material cryptocurrency exposure. Using a panel of U.S. public firms from 2019–2025, I classified 138 companies as having material crypto exposure if cryptocurrency comprised more than 0.01 percent of total assets, which was manually calculated. Of these firms, 67 were exposed to the rule change (under GAAP), 66 were not, and 5 were excluded from final calculations due to a lack of relevant information.

Results showed statistically significant effects …

10 Years Of The Hive: Successes, Challenges, And Lessons For Designing Creative Learning Hubs In Higher Education, Celine Bernhardt-Lanier

CMC Senior Theses

College students are often told to be “innovative” and to prepare themselves for a rapidly changing job market. Yet, most institutional learning environments are built for everything but that, focusing on efficiency, mastery, and content delivery. The Hive, formerly known as the Rick and Susan Sontag Center for Collaborative Creativity, pushes against this reality in higher ed. Founded ten years ago and nestled in a corner of East 7th Street in Claremont, California, the Hive brings together students, faculty, and staff through workshops, classes, skillshares, and events that are centered around making, reflecting, and collaborating. Drawing on eight semi-structured …

Politics Of A Silent Pandemic: Antimicrobial Resistance And State Capacity In India And Nigeria, Mia Kelly

CMC Senior Theses

Antimicrobial Resistance (AMR) has emerged as one of the most pressing yet widely underestimated health threats of the 21st century; this thesis explores the potentially devastating global impact of this “silent pandemic”, exposing how deeply health outcomes depend on political choices, regulatory capacity, and economic constraints. Although the danger of spreading drug-resistant pathogens is now widely acknowledged in both the scientific and political communities, states differ in their abilities to contain the issue, with low- and middle-income countries facing the greatest obstacles to national action plan implementation. This thesis investigates these disparities through a comparison of India and Nigeria, two …

Keeping America Ahead: The Global Chip Conundrum, Ethan Chen

CMC Senior Theses

Semiconductors underpin nearly every aspect of modern economic, military, and technological power. Yet while the United States pioneered chip innovation and design, it now heavily depends on foreign manufacturing, particularly Taiwan and the Taiwanese Semiconductor Manufacturing Company who produce more than 90% of the world’s leading edge chips. This thesis investigates how the U.S. lost its fabrication leadership, what risks its current dependence creates, and what strategies can most effectively restore domestic capacity and resilience in both the short term and long term. By going through historical analysis of industrial development, recent policy evaluation such as export controls and the …

Loan-Heavy Aid: Consequences On Academic And Early-Career Outcomes, April Zhang

CMC Senior Theses

This study examines how the composition of financial aid, specifically the balance between loans and grants, shapes students’ academic performance, major selection, and early career outcomes. Using administrative data from the University of California system (2007-2019) and post-graduation records from UC Irvine, I analyze how loan reliance influences both educational trajectories and labor-market results. The key measure, loanshare, captures the fraction of total aid financed through loans rather than grants. This allows for comparisons among students with similar financial need, expected family contribution, and total aid levels. Results show that students with more loan-heavy aid packages earn significantly lower …

Machine Learning For Predicting Prosthetic Limb Movements, Jessica Alexandra Cegarra Arraiz

Theses and Dissertations

This thesis develops and evaluates a deep learning-based prediction model capable of identifying intended limb movement from surfaced electromyography (sEMG) signals using sequence learning techniques. sEMG signals change over time due to multiple factors such as muscle fatigue or user variability. Traditional prosthetics control methods rely on static feature extraction, ignoring how signals change over time, thereby limiting their ability to capture the temporal changes of muscle activity. As a result, these approaches often lead to poor accuracy, robustness, and generalization. Limited experimental validation has been conducted on sequence-based machine learning approaches using temporal sEMG data from publicly available datasets …

Exploring Secondary Stem Teachers’ Experiences In Online Learning Environments: A Directed Content Analysis Using The Community Of Inquiry Framework, Tiffany Janese Lester

Theses and Dissertations

This study is a directed qualitative content analysis of 21 peer-reviewed studies published between 2020 and May 2025 on secondary STEM teaching in online environments. Using the Community of Inquiry framework, I examined how teaching, social, and cognitive presence shaped instructional strategies, teacher experiences, and reported challenges. Coding with deductive and inductive methods identified recurring themes: teachers adapted to digital platforms, navigated uneven levels of digital fluency, and implemented intentional strategies to maintain social interaction. The studies also revealed persistent equity gaps in access and participation alongside innovative approaches to course and pedagogical design. These themes demonstrate how secondary STEM …

Evaluating Hybrid Quantum-Classical Models For Image Classification In The Nisq Era, Utku Binkanat

Theses and Dissertations

This thesis presents a systematic empirical evaluation of quantum machine learning performance under noisy intermediate-scale quantum (NISQ) era constraints. Through 670 controlled experiments, it evaluated quantum kernel support vector machines and variational quantum classifiers against classical baselines on MNIST binary and multiclass classification tasks with systematic variation of problem difficulty, feature dimensionality (4, 8 qubits), and training set size (n ∈{100, 250, 400, 500, 2000, 4000}). Statistical rigor was ensured through five random seeds per condition and comprehensive significance testing. During the testing with binary datasets, classical methods (SVM, logistic regression, k-NN, neural networks) achieved 85.9% to 99.6% accuracy with …

Ai And Its Impacts On Modern Theatre, Micaiah J. Byrd

Theses and Dissertations

What do you think of when you type a question into a search engine, and the “AI Overview” pops up without your having to request it? What may happen if theatre students and theatre industry professionals have that same ability to type in a prompt into an AI generator, and it has the ability to produce an output of a theatrical design concept with that same level of ease. Is this even possible with the programs that we have now, or could it be anticipated that this could be possible in the future. Would this be a benefit or would …

Affects Of Ai In The Arts, Carolina D. Maldonado Faria

Theses and Dissertations

Art is an essential part of society, shaping culture, communication, and the digital world through forms such as music, writing, film, and animation. However, the rise of Artificial Intelligence (AI) has created conflict in the creative industry. Many AI systems are trained using artists’ works without consent, raising concerns about copyright infringement, intellectual property theft, and the loss of artistic value. While AI was originally intended as a tool for innovation, it now threatens artists’ careers and profits by imitating human creativity. This issue highlights the need for ethical regulations, stronger copyright protections, and fair compensation systems so AI and …