Digital Commons Network^™

A Machine Learning Framework For Residential District Cooling: Forecasting Consumption, Explaining Drivers, And Evaluating Decarbonization Pathways, Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, Thanveer Musthafa Hussain, Gomathi Bhavani Rajagopalan

All Works

District Cooling Systems (DCS) in the Middle East, while energy-efficient, are significant contributors to carbon emissions. This study introduces a novel framework to decarbonize DCS operations by integrating predictive machine learning, explainable AI (XAI), and renewable energy planning, all grounded in extensive real-world data. Leveraging a unique dataset from 59 residential buildings in the UAE—including energy consumption, climate variables, and building features—we developed a high-fidelity cooling load forecasting model. Following a rigorous chronological validation methodology, the Random Forest model was identified as the most robust, achieving a strong performance (R² = 0.8256, RMSE = 11,668.31). Outdoor temperature was confirmed …

The Can Challenge: Understanding The Best Ways To Incentivise Recycling Through A Diffusion Approach, Michael Brock, Lucia M. Murgia, Stefania Sitzia, Jiwei Zheng

All Works

Understanding the best ways to incentivise recycling and improve the efficiency of waste practices is a key environmental, social, and economic management problem that needs addressing.We search for solutions to this issue by testing the effectiveness of two incentive mechanisms (a piece-rate and a lottery-based systems). We run a similar field experiment in three different locations, namely a student, residential and workplace environment, to verify the robustness of our findings and thus increase confidence in the external validity of our intervention. By interpreting recycling activity as marketable service, we employ a diffusion model to analyse the potential adoption of the …

From Ethical Principles To Executable Governance: A Policy-As-Code Framework For Trustworthy Ai In Higher Education, Edmund Evangelista, Syed M. Salman Bukhari

All Works

Artificial intelligence holds great potential to transform higher education, but a persistent gap remains between ethical aspirations and their practical, auditable enforcement. This study addresses that gap by developing and validating an end-to-end executable governance framework grounded in a policy-as-code (PaC) paradigm. Using student dropout prediction as a high-stakes example, the framework operationalizes governance through an automated gatekeeper, a multi-strategy fairness mitigation toolbox, and a tamper-evident audit chain for full reproducibility. The governance compliance was tested across sixteen fixed model configurations evaluated under five policy tiers (strict, medium, lenient, and two deployment-realistic variants). None were approved, as fairness violations, dominated …

The Spiritual Communities Of Bronies, Amie Sexton

Theses, Dissertations and Culminating Projects

Bronies, adult, typically male, fans of the cartoon My Little Pony: Friendship is Magic, have long been regarded for seemingly breaking expectations around gender norms. This study finds that Bronies break expectations around what is expected of spiritualism. Through interviews and ethnographic observation of social media spaces Bronies frequent, it is found that spirituality based on the cartoon within the fandom is broad, diverse, and at times, normative. A proportionally-small group of fully sincere spiritualists with plural experiences and strong convictions inspire a much larger community of post-ironic aspirants. Aspirations towards spiritual experiences and the development of profound terminologies create …

Family Planning Exemplar Country Selection Methodology: Time Lag And Trends Analysis, Zahid Memon, Abeer Mian, Ira Martopullo, Narjis Hussain, Zeba Sathar, Ali Mohammad Mir, Michael Mbizvo, Marleen Temmerman, Jen Drake, Zulfiqar Bhutta

Centre of Excellence in Women and Child Health

Introduction While many countries achieved notable gains in contraceptive use levels after the 1994 International Conference on Population and Development which redefined family planning (FP) as a human right, there was a long period of 15 years when contraceptive use levels did not receive due attention. It was only later that its subsequent inclusion in the Sustainable Development Goals and the 2012 London Summit on FP renewed global commitment and a focus towards FP. This paper aims to select countries that identify as ‘exemplar’ low-middle-income countries that have achieved exceptional progress in FP. Examining these outliers can uncover actionable drivers …

Understanding Formal Financial Access In Indonesia: Evidence From Micro Data, M. Aulia Rachman, Yozi Aulia Rahman, Maulida Dewi Pangestika, Risanda Alirastra Budiantoro

Economics and Finance in Indonesia

This study examines the determinants of access to formal financial institutions using secondary household survey data from Indonesian Family Life Survey, Wave 5 (IFLS-5). Logistic regression analysis reveals that loan amount, savings, education level, age, housing status, and internet usage are positively and significantly associated with greater access. Individuals with higher savings, higher education, and homeownership exhibit a higher probability of utilizing formal financial services. Although the significance of internet usage varies across models, it remains a strong predictor when properly controlled, particularly due to its role in enhancing digital literacy. In contrast, income and health insurance ownership do not …

Beyond The Generations: Building A High-Quality Workplace For An Age-Diverse Workforce, Cal J. Halvorsen, Bruna C. Lopez, Erika Sabbath

Brown School Faculty Publications

At a time when the U.S. is more age diverse than ever before, Americans are extending their careers for financial stability, social connection, and purpose. This article provides a brief background on the history of aging and work, from the late 1800s to present, illustrating the influence that public and organizational policies, as well as personal needs and interests, have on labor force participation. It then provides examples for how employers can create better workplaces for people of all ages, concluding with the case for why more age-inclusive workplaces lead to better results for employees, their families, and their employers.

Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang

Research Collection School Of Computing and Information Systems

Context: Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript (JS) engines with considerable success, these efforts have been limited to using ordinary test cases or publicly available vulnerability PoCs (Proof of Concepts) as seeds, and the sustainability of these approaches is hindered by the challenges associated with automating the PoC collection. Objective: To address these limitations, we propose an end-to-end sustainable approach for JS engine patch fuzzing, named PatchFuzz. Method: It automates the collection of PoCs of a broader range of …

A Pruning-Based Question-Answering For Interactive Video Search: A Simple Baseline, Yu Tong Cheng, Phuong Anh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

There are various factors affecting the performance of video search. An imprecise query will enlarge search space and reduce the discriminative power of ranking functions. This problem is further exacerbated by the presence of numerous visually or semantically similar videos in large datasets. Consequently, users need to painstakingly browse through many highly similar candidates to locate the search target, leading to increased cognitive load and inefficient searching. Ideally, engaging users through interactive questioning to resolve uncertainties in the search process is an effective strategy for progressively narrowing down the search space. However, despite rapid advances in deep learning, generating informative …

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despite their success, MLLMs remain vulnerable to conversational adversarial inputs. In this paper, we systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications. We conduct extensive evaluations of state-of-the-art MLLMs across diverse benchmarks and observe substantial performance drops when negation is introduced. Notably, we introduce the first benchmark GaslightingBench, specifically designed to evaluate the vulnerability of MLLMs to negation arguments. GaslightingBench consists of multiple-choice …

Sam3-Litetext: An Anatomical Study Of The Sam3 Text Encoder For Efficient Vision-Language Segmentation, Chengxi Zeng, Yuxuan Jiang, Ge Gao, Shuai Wang, Duolikun Danier, Bin Zhu, Stevan Rudinac, David Bull, Fan Zhang

Research Collection School Of Computing and Information Systems

Vision-language segmentation models such as SAM3 enable flexible, prompt-driven visual grounding, but inherit large, general-purpose text encoders originally designed for open-ended language understanding. In practice, segmentation prompts are short, structured, and semantically constrained, leading to substantial over-provisioning in text encoder capacity and persistent computational and memory overhead. In this paper, we perform a large-scale anatomical analysis of text prompting in vision–language segmentation, covering 404,796 real prompts across multiple benchmarks. Our analysis reveals severe redundancy: most context windows are underutilized, vocabulary usage is highly sparse, and text embeddings lie on a low-dimensional manifold despite high-dimensional representations. Motivated by these findings, we …

Group Conversational Agents: A Review Of Designs That Support And Shape Group Interaction, Shunyi Yeo, Tianyi Zhang, Scott Bateman, Gary Hsieh, Young-Ho Kim, Simon Tangi Perrault, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Conversational agents that participate in or mediate group interaction introduce challenges that extend beyond supporting individual users, raising new questions about how agents participate in and influence groups. To characterise this emerging design space, we present a systematic review of 53 peer-reviewed studies on group conversational agents (GCAs). We analyse how GCAs intervene in group-level processes, including participation regulation, conflict mediation, task alignment, and execution support. Using concepts from group research as an analytic lens, we organise prior GCA work around recurring group interactional challenges (orientation, conflict, alignment, and execution), and examine the roles agents are designed to play in …

Language Embeddings Meet Shallow Autoencoders, Rodrigo Alves, Vojtěch Vančura, Pavel Kordík, Antoine Ledent

Research Collection School Of Computing and Information Systems

Shallow autoencoders are appealing recommenders due to their simplicity, scalability, and competitive retrieval quality, but they struggle in strict cold-start settings where new items have no interactions. We propose an inductive shallow autoencoder that leverages item side information (language embeddings) by fixing the decoder to item features and learning only an encoder in the same semantic space. To prevent trivial self-reconstruction without enforcing a hard zero diagonal, we introduce diagonal gating: a leave-one-item-out objective that blocks the self-copy shortcut only for the item being updated while retaining context from the rest of the user history. An alternating-style optimization trains the …

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

Anatomical Domain Shifts: Test-Time Heterogeneous Adaptation For 3d Human Pose Prediction, Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao

Research Collection School Of Computing and Information Systems

The research frontier in human pose prediction (HPP) is advancing toward continual test-time adaptation (TTA), where models must self-adapt to dynamic test distributions. To date, the homeostatic continual TTA remains the sole viable solution, which isolates the model parameters and update domain-sensitive ones. Despite mitigating full-body domain gaps, human anatomical heterogeneity (domain shifts often localize to specific regions) is ignored. This anatomical-agnostic approach forces uniform parameter adaptation across kinematically distinct segments, causing: over-adaptation of stable regions and under-adaptation of shift-prone articulations. To address it, we introduce TT-HA, a novel Test-Time Heterogeneous Adaptation that implicitly estimates domain changes for anatomical segments, …

History To Future: Evolving Agent With Experience And Thought For Zero-Shot Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Zihan Wang, Guo-Sen Xie, Yang Yang, Jinshan Pan, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in Continuous Environment (VLN-CE) requires an agent to follow language instructions to navigate the target destination. With the advancement of large language models (LLMs), recent efforts have explored adapting them for zero-shot VLN-CE, offering a promising solution in addressing the drawbacks of poor generalization in the training-based paradigm. However, existing LLM-based works primarily perform naive reasoning for decision-making and lack feedback, e.g., reviewing historical errors and predicting future potentials. Consequently, it may suffer from continuous failure for those initial error tasks. In this paper, we rethink LLM-based zero-shot VLN-CE and propose a new paradigm, named EvoNav, to improve …

How Do Machine Learning Models Change?, Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández

Research Collection School Of Computing and Information Systems

The proliferation of Machine Learning (ML) models and their open source implementations has transformed AI research and applications. Platforms like Hugging Face (HF) enable this evolving ecosystem, yet a large-scale longitudinal study of how these models change is lacking. This study addresses this gap by analyzing over 680,000 commits from 100,000 models and 2,251 releases from 202 of these models on HF using repository mining and longitudinal methods. We apply an extended ML change taxonomy to classify commits and use Bayesian networks to model temporal patterns in commit and release activities. Our findings show that commit activities align with established …

From Institutions To Families: Assessing The Progress Of Egypt’S National Strategy For Alternative Child Care Reform, Yasmine M. El Hagry

Theses and Dissertations

This study serves as a critical mid-term review of the Egyptian National Strategy for Alternative Care for Children and Youth without Parental Care (NACS) (2021-2030). The 10-year strategy overall goal is to shift from institutional care, such as orphanages, to family-based care, such as kafala, the Islamic alternative to legal adoption, for children deprived of parental care. While the global literature strongly advocates deinstitutionalization, empirical research on the operational risks and unintended harms that can arise during such complex transformations remains scarce.

Adapting the International Civil Service Effectiveness (InCiSE) Framework, this research uses a qualitative approach to diagnose the …

Submittal Of Mixed Waste Landfill Annual Long-Term Monitoring & Maintenance Report, April 2025-March 2026 For Sandia National Laboratories/New Mexico, Epa Id Number Nm5890110518, June 2026, Sandia National Laboratories/Nm

Facilities-Units

The Department of Energy/National Nuclear Security Administration (DOE/NNSA) and Sandia National Laboratories /New Mexico (SNL/NM) personnel submitted the Mixed Waste Landfill (MWL) Annual Long-Term Monitoring and Maintenance Report for the April 2025 through March 2026 reporting period to the New Mexico Environment Department (NMED) in accordance with the MWL Long-Term Monitoring and Maintenance Plan (LTMMP) Section 4.8.1. The LTMMP became effective on January 8, 2014.

The MWL is a 2.6-acre Solid Waste Management Unit (SWMU 76) located in the north-central part of Technical Area III at SNL/NM that has undergone corrective action. As of March 13, 2016, the NMED February …

Update: Colorado River Basin Storage Continues Slide Toward System Crash, Anne Castle, Jack Schmidt, Eric Kuhn, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

If the Colorado River Basin (Basin) experiences another dry year, similar to Water Year 2025, it is likely that reasonably accessible storage in Lake Powell and Lake Mead would be mostly depleted, even if consumptive uses and losses are at or near historic lows. Run-of-the-river operations would shortly ensue. This would be an outcome with devastating consequences. In contrast, if next year is very wet, similar to Water Year 2023, the Basin’s largest federal reservoirs would recover somewhat, but would provide only about two years of cushion before we find ourselves again in the same position we are in today, …

Modeling Generative Ai Adoption In Higher Education: An Integrated Tam–Tpb–Sdt Framework With Sem Validation, Dina Tbaishat, Omar Alfandi, Faten Hamad, Syed Muhammad Salman Bukhari, Suha Al Muhaissen

All Works

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the hypothesized structural relationships. Reliability, validity, measurement invariance across …

The Impact Of Religious Behaviors, Islamophobia, Gender Roles, Language Proficiency, And Education Levels On Mental Illness Stigma And Help-Seeking Behaviors Among Arab Women In The U.S., Rima Muhsen

Dissertations

The official U.S. census does not provide data on the number of Arab Americans in the United States, which hinders studies that focus on this population group to explore their needs and improve access to mental health services. Arab women in America represent a subgroup that has received insufficient attention from researchers, particularly regarding culturally sensitive topics such as mental health problems and their associated stigma. The influence of cultural, social, and religious factors on self-stigma associated with mental illness has not been adequately studied among this marginalized group. While previous research has suggested a relationship between self-stigma, social stigma …

Well-Being, Resilience, And Trauma During Migration: A Mixed Methods Study Of Venezuelan Migrants In Transit, Margaret S. Port

Dissertations

A substantial body of research has examined the psychological impact of experiences preceding and following migration, yet comparatively little attention has been given to the psychological toll of the migration journey itself. Moreover, due to the relative novelty of the Venezuelan migrant crisis and the community’s arrival in the United States, the psychological impact of Venezuelan migrants’ unique migration experience has been underexamined. This study utilized an explanatory sequential mixed methods design to investigate the relationships between well-being, resilience, and trauma among Venezuelan migrants in Chicago, Illinois, while also exploring their lived experiences of the migration journey. Study participants (n …

From Campus To Community: The Role Of Higher Education In Strengthening Regional Entrepreneurial Ecosystems In Appalachia, Anne M. Montgomery

Dissertations

This study addresses a gap in understanding how small, rural liberal arts higher education institutions (HEIs) in the Appalachian College Association Entrepreneurial Alliance (ACAEA) support regional entrepreneurial ecosystems (EEs), and how, if at all, those strategies vary across Appalachian Regional Commission (ARC) county economic classifications. Using a qualitative multi-case design, the study examined 10 ACAEA institutions and drew on semi-structured interviews, site observations, institutional documents (including strategic plans), and ARC county-level economic data. The analysis produced five cross-case themes describing how these institutions support entrepreneurship: (a) strategic leadership and institutional culture, (b) experiential and embedded entrepreneurial education, (c) community-driven partnerships …

Addressing Mental Health Issues And The Effectiveness Of Cognitive Behavioral Therapy And Mindfulness-Based Interventions Among Athletes, Shelby Jones-Stachnik

Dissertations

This literature review identifies mental health concerns among competitive athletes and evaluates psychological interventions to address these challenges. Specifically, the review explores the mental health concerns experienced by athletes engaged in high-level sport. It examines whether cognitive behavioral therapy and mindfulness-based interventions are effective approaches for improving psychological outcomes in this population. A systematic review of peer-reviewed research was conducted, and findings were synthesized to evaluate the effectiveness of cognitive behavioral therapy and mindfulness-based interventions. The review included randomized controlled trials, quasi-experimental studies, and meta-analyses examining psychological interventions in athletic populations. Findings across the literature indicate that both cognitive behavioral …

The Motherhood Contract: Mental Load, Moral Risk, And Gendered Care In Contemporary Parenting And Digital Culture, Stephanie J. Stallman

Dissertations

This dissertation examines childcare as a site of gender inequality shaped by cultural norms, structural barriers, and digital discourse. Despite increased awareness of shared parenting ideals, mothers predominantly bear the “mental load.” This study introduces the idea of a motherhood contract: implicit expectations that mothers are responsible for managing children’s needs. Two research questions guide this study. (1) What are parents’ experiences of managing the mental load of caregiving? How do they make sense of these experiences within the gendered and moral expectations shaping family life? (2) How are cultural ideas about childcare and parenting constructed, circulated, and reproduced through …

Diverse Families Navigating Mental Health At The Pediatrician’S Office: A Mixed Methods Exploration Of The Interplay Of Stress, Culture, And Child Mental Health In The Primary Care Setting, Sara B. Budowsky

Dissertations

Low-income and ethnic minority youth experience high psychiatric need but persistently low participation in traditional mental health care. General pediatricians are often the first and only healthcare providers with whom many families engage around their child’s emotional and behavioral development. Using both quantitative analysis of retrospective secondary data and Interpretative Phenomenological Analysis (IPA) of in-depth interviews with diverse caregivers, this project explored influencers of child mental health and family utilization of pediatric primary-care-based mental health services in the context of a uniquely multicultural clinic serving a predominantly Medicaid population. Three key findings include: 1) Caregiver Stress was a highly significant, …

Exercise Therapy For Mood Disorders In Retiring/Former Athletes, Christian Antos

Dissertations

This dissertation examined the potential integration of exercise therapy and psychotherapy as a treatment approach for mood-related difficulties experienced by former elite athletes during the transition out of competitive sport. Retirement from athletics is often associated with significant biopsychosocial challenges, including disruptions in identity, healthy routines, social support, and emotional well-being. Existing literature suggests that exercise may serve as an effective adjunctive intervention for improving mood and overall psychological functioning, though limited research has explored its application among retiring athletes within psychotherapeutic contexts. This literature review synthesized current research related to athletic retirement, neurobiological mechanisms associated with physical activity, and …

The School To Prison Pipeline From The Inside Out: Survivor Narraitves, Nina M. Koufalias

Dissertations

This dissertation examines the lived experiences of two Latino men who traversed the school-to-prison pipeline in the 1980s. The purpose of this study is to investigate how intersecting systems of racism, ableism, poverty, and exclusionary school practices shaped their educational trajectories and contributed to their incarceration. Three overarching research questions guide this inquiry: (1) What can be learned from the stories of two formerly incarcerated relatives that sheds light on how the school-to-prison pipeline is lived? (2) How do their narratives illustrate the impacts of exclusionary discipline policies, such as zero-tolerance, on educational opportunities and life outcomes? (3) How does …

Disability Employment In Côte D’Ivoire: Human Resources Managers’ Experiences And Challenges, Kinanpy Vanessa Toure

Dissertations

This study examined the critical role of human resource (HR) managers in promoting workforce integration and addressing the persistent barriers faced by people with disabilities (PWDs) in Côte d'Ivoire. Focusing on the perspectives, challenges, and lived experiences of HR managers, the research explored how inclusive workplace practices were developed and implemented within the Ivorian context. Employing a qualitative case study design, the study utilized semi-structured, scenario-based interviews and analyzed allowable public documents, specifically the Ivorian Labor Code, a relevant NGO publication addressing disability inclusion in Côte d’Ivoire, and the publicly available websites of participating organizations. This approach was intended to …