Digital Commons Network^™

Infection Prevention And Control Of Candida Auris In Pediatric Settings, Thomas S. Murray, Hana Hakim, Christelle Ilboudo, Lynn Ramírez-Ávila, Jana Shaw, Terri Stillwell, Patricia Budo, Bernard Ebruke, Noa Fleiss, Amanda Green, Matthew Linam, Roshni Mathew, April Mcdougal, Natalie Neu, Zoi Dorothea Pana, Karen Ravin, Ayelet Rosenthal, Jane D. Siegel, Katlyn Steimel, Amy Valencia, Carol Vance, Lars F. Westblade, Lisa Saiman

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Candida auris (also referred to as Candidozyma auris) is an emerging multidrug-resistant fungal pathogen associated with high morbidity and mortality. Existing infection prevention and control (IPC) guidance has largely focused on adult populations, with limited recommendations for pediatric healthcare and non-healthcare settings.

METHODS: The Society for Healthcare Epidemiology of America (SHEA) convened a multidisciplinary expert panel to develop IPC recommendations for C. auris. The panel developed recommendations using a structured, iterative Delphi consensus process with rounds of discussion, refinement, and anonymous electronic voting with predefined consensus thresholds. Panelists reviewed relevant peer-reviewed and gray literature integrated with expert …

Strategies For High-Quality Community-Based Participatory Research Partnerships In Public Health Research., Emily M. D'Agostino, Rumour Piepenbrink, Lori Brand Bateman, Dana Keener Mast, Liliane Windsor, Debra Oto-Kent, Alan Wells, Jennifer Goldman, Jennifer E. Schuster, Rachel Kaufmann, Rachel Gurarie, Miriam Nuño

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVES: Community-Based Participatory Research (CBPR) is grounded in trusting, reciprocal, and authentic relationships. We aimed to identify key strategies and actionable next steps to establish and sustain high-quality community-academic partnerships that foster community-based health equity.

STUDY DESIGN: Qualitative thematic analysis.

METHODS: We analyzed three recorded discussions from a roundtable session with community and academic partners from the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program (2020-2025), which supported 142 community-engaged public health research projects aimed at reducing COVID-19-related health inequities.

RESULTS: Key themes identified as most fundamental to support CBPR included establishing a long-term commitment, mutual co-learning among partners, flexible and …

Early Neurodevelopmental Outcomes In Children With Congenital Heart Disease., Mike Seed, Dawn Ilardi, Valerie Rofeberg, Cynthia Ortinau, Caren Goldberg, Garrett Reichle, Lauren Bush, Justin Elhoff, Amy Jo Lisanti, Jennifer Butcher, Caitlin Rollins, Andrew Van Bergen, Shabnam Peyvandi, Emily Bucholz, Stephanie Cox, Lyla Hampton, Jacqueline Sanz, Sonia Monteiro, Shruti Tewar, Kiona Allen, Caroline Lee, Kristi Glotzbach, Nneka Alexander, Laurel Bear, Corinne Anton, Renee Sananes, Linh Ly, Gina Boucher, Kelly Wolfe, Lindsay Edwards, Elizabeth J. Willen, Alexander Tan, Christina Ortega, Erica Sood, Anjali Sadhwani, Kari Crawford Plant, Lauren Quigley, Jessica Pliego, Elizabeth Valles, Abbey Hines, David Wypij, Thomas Miller

Manuscripts, Articles, Book Chapters and Other Papers

IMPORTANCE: Neurodevelopmental impairments are common in children with congenital heart disease.

OBJECTIVES: To compare neurodevelopmental outcomes by cardiac diagnosis and identify associations between medical and social factors and early neurodevelopmental outcomes among children with congenital heart disease.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional analysis used neurodevelopmental follow-up data obtained between May 1, 2019, and June 30, 2022, and entered into the Cardiac Neurodevelopmental Outcome Collaborative (CNOC) registry, with linkage to the Pediatric Cardiac Critical Care Consortium registry. Children younger than 30 months from 25 CNOC sites were studied. Data analysis was performed between January 2023 and December 2024.

EXPOSURES: Patients …

Exploring The Role Of Vitamin D In Familial Mediterranean Fever: Pathogenesis, Triggers, And Immune Modulation, Hagop Sassounian, Saad Aad, Hilda E. Ghadieh, Lara Khouzami, Elsa Nicolas, Sami Azar, Frederic Harb

All Works

Familial Mediterranean Fever (FMF) is among the most frequent autoinflammatory diseases in populations originating from the area of Middle Eastern and Mediterranean countries. It is caused by mutations in the MEFV gene, which causes dysregulated pyrin expression and thus an immunologic anomaly. FMF is diagnosed by recurrent episodes of fever and serosal inflammation, predominantly peritonitis and pleuritis, as well as other systemic symptoms. Recent research is dedicated to searching for factors beyond genetic code contributing to how FMF evolves, the severity of its symptoms and response to conventional therapy—colchicine. These factors include epigenetic modifications of the MEFV gene and other …

Digital Advertising Regulation And Consumer Protection Policy In The Uae: Ethical Challenges And Consumer Trust In The Digital Era, Harith Yas, Wided Dafri, Basma Kashmoola, Maytha Al-Ali, Omnia Salem, Ahmed Almufti

All Works

It is remarkable that the current research primarily aims to measure the extent to which UAE Consumers use various Digital Advertising Channels, as well as to evaluate e-marketing requirements and the degree of compliance in the United Arab Emirates. The Research, however, has employed a Descriptive-Analytical Approach, collecting data through a questionnaire that includes several questions targeting a sample of 150 consumers from different Emirates. The data were analyzed using SPSS and statistical method s, including complaint analysis, Interest Frequencies, and graphical representations. Our results show that social media is the most widely used digital advertising channel, accounting for 34% …

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 …

Trust Asymmetry And Cross-Border Merger Withdrawals: A Global Perspective, Muhammad Farooq Ahmad, Saqib Aziz, Rwan El-Khatib, Duc Khuong Nguyen

All Works

We empirically examine how trust asymmetry between countries can impact the cross-border merger outcome. Differing trust perceptions between acquirer and target countries can increase the complexities of deal negotiations and integration, constraining the successful deal completion and outcome. We find, in a comprehensive global sample of 56 countries spanning 37 years, that higher trust asymmetries between the acquirer and target countries significantly increases the cross-border merger withdrawal intensity and reduces the expected synergy gains. Moreover, the adverse effects of trust asymmetry are significantly attenuated by the quality of institutions in both countries. Our results hold after employing various empirical techniques …

From Proficiency To Pedagogy: A Mixed-Methods Study Of In-Service Teachers’ Tpack-Genai And The Mediating Role Of Pedagogical Knowledge, Laila Mohebi, Areej Elsayary

All Works

This study investigated in-service teachers' Technological Pedagogical Content Knowledge for Generative Artificial Intelligence (TPACK-GenAI) and examined the factors influencing their integration of generative AI in classroom practice. Using an explanatory sequential mixed-methods design, data were collected from 325 in-service teachers across 26 countries, followed by in-depth interviews with seven teachers. Quantitative results revealed that Technological Knowledge (TK), Pedagogical Knowledge (PK), and Pedagogical Content Knowledge (PCK) were significantly associated with teachers' overall TPACK-GenAI. Crucially, mediation analysis confirmed that Technological Pedagogical Knowledge (TPK) serves as the indirect association through which TK is related to overall TPACK-GenAI competence. Qualitative findings enriched this result, …

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 …

Kitchen Table Press: A Case Study Of Regression To The Neoliberal Mean, Alaina Disalvo

Dissertations, Theses, and Capstone Projects

This thesis examines the idealistic founding of Kitchen Table: Women of Color Press in 1980 and its slow downfall, culminating in the cession of ownership of the Press to a university in 1992. It traces the ideological development of Kitchen Table Press’s key founders, Barbara Smith and Audre Lorde, and their respective relationships to the ideologies of other renowned feminist figures of the era, specifically June Jordan and Adrienne Rich. It examines the history of the Press through historical, intersectional, affective, and socialist lenses. This thesis argues that neoliberal pressures can bend even the most radical organizations away from their …

Elite Manipulation Of Accountability Institutions: A Comparative Analysis Of Cicig And Maccih, Kevin E. Contreras

Dissertations, Theses, and Capstone Projects

Strong accountability institutions are expected to limit elite manipulation. Yet elites continue to manipulate them. This paper shows that strong accountability institutions are insufficient to prevent elite manipulation. A comparative analysis of Honduras (MACCIH) and Guatemala (CICIG) traces the relationship between institutional strength and elite manipulation. The findings indicate that this relationship is contingent on context. Preventing manipulation would require accountability institutions to sustain greater mobilization and institutional leverage than elites. Accountability institutions alone are insufficient to achieve this condition.

Twitteratura: Digital Social Reading And Active Reception Of Literary Texts In The Context Of Italian Contemporary Literature, Iuri Moscardi

Dissertations, Theses, and Capstone Projects

This dissertation explores Digital Social Reading (DSR) as a novel mode of literary engagement, focusing on the Italian project Twitteratura, a series of social reading experiments conducted on Twitter (2012–2016) and later on the Betwyll app. The research situates Twitteratura within the intersection of Reader-Response Theory, Digital Humanities, Reception Studies, and Sociology of Literature, demonstrating how digital environments reshape the act of reading and interpretation. Through detailed analyses of four DSR projects centered on major twentieth-century Italian authors—Cesare Pavese, Pier Paolo Pasolini, Italo Calvino, and Natalia Ginzburg—this dissertation argues that Twitteratura provides a concrete, data-rich demonstration of Wolfgang Iser’s reader-response …

Investigating Individual And Group Level Mediators Of Fear Acquisition, Rachel S. Lese

Dissertations, Theses, and Capstone Projects

The ability to discriminate between cues predictive of threat vs. safety (fear acquisition) and subsequently update fear responding when contingencies change (fear extinction) is crucial to survival for all organisms. While these processes have been the subject of intense experimental scrutiny for several decades, most human fear learning studies have focused primarily on extinction learning and fear recovery processes, with less focus on fear acquisition itself. Indeed, researchers typically aim to minimize variability during fear acquisition in order to rule out differences in extinction being driven by variability during the initial learning phase. Thus, experimental protocols are often optimized to …

The New Middle Cinema: Aesthetic Restraint, The Urban Middle Class, And The Reconfiguration Of Mainstream Bollywood (2007–2017), Hasnatun Nabi

Dissertations, Theses, and Capstone Projects

Between 2007 and 2017, a distinctive wave of mainstream Hindi films, termed here as the “New Middle Cinema”, employed aesthetic restraint to reconfigure Bollywood’s identity in response to a rapidly changing India. Rejecting the industry’s traditional spectacle, melodrama, and visual opulence, these films embraced naturalistic visuals, grounded performances, character‑driven narratives, and a muted color palette. Drawing on industrial analysis, close textual reading, and audience reception data, this thesis examines seven representative films (Chak De India, Wake Up Sid, My Name is Khan, The Lunchbox, Piku, Kapoor & Sons, and Lipstick Under My Burkha …

Assessing Family Planning Progress In Exemplar Countries: Development Of A Conceptual Framework And Case Study Methodology, Zahid Memon, Hina Najmi, Abeer Mian, Sacha Ahmad, Muhammad Islam, Kevin Samuel, Marleen Temmerman, Ali Mohammad Mir, Zeba Sathar

Centre of Excellence in Women and Child Health

Family planning (FP) is a critical component of reproductive health, enabling individuals to plan the number and timing of children through various contraceptive methods.

We outline the conceptual framework and country case study methodology used by the Exemplars in Family Planning (EFP) project. This was based on the wider Exemplars in Global Health programme, which uses mixed-methods to examine determinants of FP progress in countries that exceed expectations for health outcomes. The EFP project integrates findings from case studies on six such countries, including quantitative analyses of trends and drivers of modern contraceptive prevalence, systematic reviews, policy, programme and financing …

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 …

Aging Actively, Jada Lindblom, Guangzhou Chen

UNH Cooperative Extension

No abstract provided.

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 Numbers: Governance, Capital Structure, And The Contribution Of Village Cooperatives To Regional Economic Output In Indonesia, Mohamad Dian Revindo, M. Fajar Ramadhan, Nia Kurnia Sholihah, Indri Br Situmorang, Hilda Fachrizah

Economics and Finance in Indonesia

Although cooperatives are widely regarded as an important part of Indonesia’s economy and have a  large membership base, the contribution of cooperatives to regional economic output in Indonesia has never been systematically examined. This study provides the first multi-year, fixed-effects panel evidence of cooperative–GRDP linkages for all 34 Indonesian provinces (2017–2023) in a Cobb-Douglas production function framework with province and year fixed effects. Two outcome variables are estimated: Gross Regional Domestic Product (GRDP) and the Unemployment Rate (Unemp). The findings indicate that active cooperatives are associated with higher provincial GRDP and lower open unemployment; despite, the associations should be read …

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.

Indigenous Child Language Research Center Report 3, Saad K’Idilyé, Indigenous Child Language Research Center

Indigenous Child Language Research Center

This report shares some of the preliminary finding of the research work that is being conducted by the Indigenous Child Language Research Center. The ICLRC aims to report to their community partner, Saad K’idilyé, the results of their groundbreaking work. This information is typically delivered in person at a planned meeting. This research is long-term and the data is being prepared for optimal analysis to be shared through published works, workshops, and conference presentations.

Indigenous Child Language Research Report 2, Saad K’Idilyé, Indigenous Child Language Research Center

Indigenous Child Language Research Center

This report shares some of the preliminary finding of the continued research work that is being conducted by the Indigenous Child Language Research Center. The ICLRC aims to report to their community partner, Saad K’idilyé, the results of their groundbreaking work. This information is typically delivered in person at a planned meeting. This research is long-term and the data is being prepared for optimal analysis to be shared through published works, workshops, and conference presentations.

Long-Term Mine Planning: A Survey Of Classical, Hybrid And Artificial Intelligence-Based Methods, Nurul Asyikeen Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi

Research Collection School Of Computing and Information Systems

The aim of long-term mine planning (LTMP) is two-fold: to maximize the net present value of profits (NPV) and determine how ores are sequentially processed over the lifetime. This scheduling task is computationally complex as it is rife with variables, constraints, periods, uncertainties, and unique operations. In this paper, we present trends in the literature in the recent decade. One trend is the shift from deterministic toward stochastic problems as they reflect real-world complexities. A complexity of growing concern is also in sustainable mine planning. Another trend is the shift from traditional operational research solutions — relying on exact or …

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 …

To Wait Or To Transfer? A Three-Level Optimization Framework For Intermodal Transfer Coordination In First Train Timetabling And Bus Bridging Services Management, Hao Li, Liujiang Kang, Norman Weik, Huijun Sun, Qingying Lai, Zhiguang Cao

Research Collection School Of Computing and Information Systems

This study addresses the integrated optimization of the first train timetabling and bus bridging service design (FTT-BBSD) for morning transfer challenges, two critical but interdependent passenger services in the public transit system. In contrast to most existing studies and conventional approaches, this study explicitly models the influence of passenger path choices and transfer mode selections on FTT-BBSD. Through a novel dual-level network representation that integrates subway and bus systems, we formulate the FTT-BBSD problem as a mixed-integer nonlinear programming model. The model simultaneously determines subway and bus timetables and bridging line deployment to minimize total travel time for all first …

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 …

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 …