Digital Commons Network^™

The Political Economy Of Mandatory Disclosure: A Literature Review, Hao Liang, Hanyu Zhang

Research Collection Lee Kong Chian School Of Business

Reviewing the literature on mandatory corporate disclosure from a political economy perspective, we synthesize the classic justifications for disclosure regulations while emphasizing why voluntary disclosure often fails to achieve socially efficient transparency. We also highlight how legal institutions, enforcement capacity, and political forces shape the design, credibility, and effectiveness of disclosure mandates. Drawing on evidence from international and China-focused studies, we review empirical findings on how mandatory disclosure affects investor protection, information environments, and firm behavior, showing that similar reporting rules yield different outcomes across institutional settings. We further extend the discussion to ESG and climate-related disclosure to examine emerging …

Public Acceptance Of Meat-Reduction Policies Across Cultures: Comparing Singapore And Switzerland, Bianca Wassmann, Shu Tian Ng, Mark Chong, Angela K. Y. Leung, Michael Siegrist

Research Collection Lee Kong Chian School Of Business

Purpose – As meat-reduction policies are discussed across the globe, many are met with public resistance. Cultural values may help explain this pushback, yet their role in shaping support for food policy remains poorly understood. This study is the first to apply cultural cognition theory to food policy by examining how cultural worldviews shape the acceptance of meat-reduction interventions in Singapore and Switzerland—two economically developed countries with contrasting cultural profiles. Design/methodology/approach – In an online survey, participants (Singapore: n = 357; Switzerland: n = 495) rated their acceptance of 11 meat-reduction interventions (e.g. taxes, subsidies, labelling). We then analysed to …

The Abcs Of Community: A Primer For Civility, Citizenship, And Civic Discourse, Sharon K. Ferrett

Trade & Scholarly Monographs

In a world that often seems divided and polarized, we long for trust, communication and respect. Many of us are concerned about the rancor, discourse and fragmentation that we see in our families, workplaces and neighborhoods. We have lost a sense of community. We will explore simple ways to increase the sense of belonging, encourage dialogue and promote kindness, tolerance and understanding. Simple techniques, rituals and habits will help us create connections, form bonds of fellowship and truly see and hear other people. This little book will look at ways to build community, civility and common good.

Library News June 2026, Research Medical Library

Library News 2026

• 2026 Journal Impact Factor Update
• Finding Grant Funding with Pivot-RP
• Books on Mental Health and Wellness Available Through the Research Medical Library
• And Now for Today's Topic: Can You Begin a Sentence with a Conjunction?

The City As Showroom: Singapore And The Rise Of The "Urban Solutions" Industry, Sol Andrew Stokols

Research Collection College of Integrative Studies

This article uses the concept of the “city as showroom” to describe an emergent logic shaping urban development that stems from the growing importance of “urban solutions” as an industry. Focusing primarily on Singapore, the article examines how certain urban districts and high-profile sites are conceptualized as “showrooms” for the infrastructure and urban technologies they aim to export around the world. The idea of the “city as showroom” combines aspects of the curation of a city’s image through showcase districts, as well as “testbed urbanism” seen in certain smart-city projects. Singapore's need to reproduce itself as a model of urban …

What To Expect When You’Re Expecting Passenger Rail: How Central Valley Communities Are Preparing For High-Speed Rail, Josephine K. Hazelton-Bpyle, Naomi Bick

Mineta Transportation Institute

Approved by California voters in 2008, the California High-Speed Rail (CAHSR) project is a planned 800-mile rail corridor across California aimed at delivering intercity passenger rail service to the state’s largest metropolitan areas. This was the first voter-approved high-speed rail project in the United States and remains one of its most contentious. The first phase of the project’s construction is currently underway in California’s Central Valley, including many communities that initially opposed CAHSR. While supporters champion increased connectivity and the provision of environmentally sustainable transportation alternatives, critics contend the project’s benefits will not outweigh its environmental costs and economic disruptions. …

Irwin, Raymond. The English Library: Sources And History. New York, Ny: Routledge, 2022., Randi K.J. Baltzer

The Christian Librarian

No abstract provided.

Overcoming Adversity With Resilience: A Phenomenological Examination Of African American Women Leaders Facing Microaggressions In Corporate Spaces, Dionne Trenise Johnson

Electronic Theses and Dissertations

African American women leaders in Fortune 500 companies experience persistent challenges of subtle yet pervasive systems of discrimination in the form of microaggressions that cause negative impacts to their psychological well-being, workplace performance, and career advancement. These women exhibit incredible resilience that enable them to thrive at work, mitigate mental health challenges, and navigate their careers successfully. However, unlike people who fall into either a racial minority group or a gender minority group, African American women experience compounded effects of microaggressions due to the intersection of their race and gender. As a result of microaggressions, these women experience impacts to …

An Attachment Perspective For Help-Seeking Intentions Among Emerging Adult Women Child Sexual Abuse Survivors, Dominique Giroux

Dissertations

Child sexual abuse (CSA) is an adverse childhood experience and a global health issue. Approximately one in four girls encounter CSA per year. Research evidence suggests approximately 50% of CSA survivors encounter sexual revictimization during adulthood (Walker & Wamser-Nanney, 2023), but formal help and intervention can mitigate further psychosocial harm experienced by CSA survivors (Widom et al., 2008). Attachment theory has provided a theoretical framework for identifying individuals at risk for revictimization and help-seeking patterns, such that individuals who have insecure attachment styles report more revictimization frequency, but the literature is mixed about attachment styles and help-seeking (Brenner et al., …

Deployment-Aware Deep Learning For Computer Vision: Efficient Architectures From 3d Segmentation To Mixed Reality, Bahar Uddin Mahmud

Dissertations

Deep learning has become the dominant approach for solving vision-centric problems; however, its successful deployment in real-world applications remains limited by high computational cost, data dependency, and insufficient integration with practical and human-centered environments. While state-of-the art deep learning models often achieve impressive performance in controlled settings, they frequently fail to generalize or operate efficiently under deployment constraints such as limited resources, complex data modalities, and real-time interaction requirements. These limitations motivate the need for a deployment-oriented deep learning framework that balances accuracy, efficiency, and practical usability.

This dissertation investigates the design and deployment of efficient deep learning architectures for …

Design Of Advanced Water Purification System For The City Of Palo Alto, Kailee Oyama, Alex Marquez

Civil, Environmental and Sustainable Engineering Senior Theses

The Advanced Water Purification System (AWPS) is designed with multiple treatment units to facilitate potable water reuse of the effluent from the Wastewater Treatment Plant (WWTP) in Palo Alto. The membrane filtration process as well as post treatment conditioning results in a high quality recycled water that has a lower salinity concentration. The membrane filtration process separates the suspended particles such as bacteria, protozoa, and viruses from the WWTP effluent as well as reducing the dissolved solids, salts, smaller organic molecules, and trace contaminants by 90-99%. Then, the air stripping tower removes the excess carbon dioxide increasing the pH from …

The Effect Of Positive Communication On Leadership Development: A Qualitative Phenomenological Study, Philip J. Lowe

Electronic Theses and Dissertations

This qualitative phenomenological study explores the lived experiences of Christian college professors in the Midwest who utilize positive communication within mentoring relationships to develop leadership capabilities in students preparing for ministry. The research addresses the development of leadership capabilities in Christian colleges and examines how mentoring relationships serve as a sustainable alternative to costly and often ineffective formal programs. Following a descriptive phenomenological approach informed by the methods of Husserl and Giorgi, the researcher conducted semi-structured interviews with faculty members who have at least five years of teaching experience at a Christian college in the Midwest. The study utilized Bowlby’s …

African American Business Owners' Descriptions Of Experiences With Lending Practices, Wannika R. Muhammad

Electronic Theses and Dissertations

Entrepreneurship has remained an influential and unfulfilled goal for African Americans from the 1800s until now. Due to barriers in lending practices, increased business retention rates for African American business owners still need to be achieved. The lack of credit and lending resources hinders business growth and retention. Although Black-owned firms contribute significantly to the U.S. economy, they remain classified as underutilized entities that benefit the least, without adequate access to financial services, such as banking and lending opportunities. This study’s participants consisted of 12–15 African American business owners in central Texas, through a qualitative descriptive exploration of their experiences …

Isolation And Self-Efficacy Among Texas Educators With Disabilities Post-Covid: A Narrative Inquiry, Paul M. Nimon

Electronic Theses and Dissertations

The purpose of this qualitative inquiry was to explore the narratives of 10 current Texas public school educators with disabilities, as defined by the Americans with Disabilities Act, to understand how these narratives shaped their perceptions of burnout in relation to isolation and self-efficacy in the aftermath of the COVID-19 pandemic. The specific problem addressed the systemic, cultural, and interpersonal barriers that contribute to emotional exhaustion and professional marginalization for this population. The paradigm used was action research. The specific research methodology was a qualitative narrative inquiry. Data collection methods included 60-to-90-minute semistructured interviews conducted via Zoom and transcribed for …

Executive Summaries

The Foundation Review

No abstract provided.

Task Complexity Matters: An Empirical Study Of Reasoning In Llms For Sentiment Analysis, Donghao Huang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this claim through a comprehensive evaluation of 504 configurations across seven model families—including adaptive, conditional, and reinforcement learning-based reasoning architectures—on sentiment analysis datasets of varying granularity (binary, five-class, and 27-class emotion). Our findings reveal that reasoning effectiveness is strongly task-dependent, challenging prevailing assumptions: (1) Reasoning shows task-complexity dependence—binary classification degrades up to -19.9 F1% points (pp), while 27-class emotion recognition gains up to  +16.0 pp; (2) Distilled reasoning variants underperform base models by 3–18 pp on simpler tasks, …

Cfalr: Collaborative Filtering-Augmented Large Language Model For Personalized Fashion Outfit Recommendation, Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin, Wenqi Fan, Tat-Seng Chua, Qing Li

Research Collection School Of Computing and Information Systems

Personalized outfit recommendation poses a significant challenge in e-commerce and social media platforms, requiring systems that balance user preferences with aesthetic compatibility. Collaborative filtering (CF) provides a traditional solution for this, but it struggles with data-sparse scenarios and complex user-item-outfit relationships. Meanwhile, existing template-based approaches are constrained by rigid pre-designed structures. To bridge these research gaps, we introduce CFALR (Collaborative Filtering-Augmented Large Language Model for Recommendation), a novel framework that synergizes collaborative filtering with large language models for personalized outfit recommendation. Specifically, CFALR describes user-outfit interactions in natural language and leverages LLMs to capture fashion semantics while employing CF-enhanced embeddings …

A Reproducible Hdr-Native Psychophysics Infrastructure For Color Science Research, Fernando Voltolini De Azambuja

Theses

Color science psychophysics measures the human visual system by relating controlled visual stimuli to observer responses, often through forced-choice paradigms such as two-alternative forced choice (2AFC) (Kingdom and Prins 2016). These studies require stimuli specified in physically meaningful units, technically correct display emission, and reproducible execution (Fairchild 2013; Lin et al. 2023). In practice, graduate-level experiments often rely on bespoke MATLAB or Python scripts, standard dynamic range (SDR)-first toolchains such as Psychtoolbox and PsychoPy, manual stimulus duplication, and incomplete capture of calibration, colorimetric state, and display capability (Brainard 1997; Peirce et al. 2019). These limitations increase experimental friction and create …

The Latino Higher Education Landscape In Massachusetts, Fatema B. Ahad, Fabián Torres-Ardila, Elisa Castillo, Lorna Rivera, Joseph B. Berger

Gastón Institute Publications

This white paper provides a statistical overview of HSIs in Massachusetts within the state’s evolving demographics and postsecondary education context. It presents historical trends on student enrollment, student outcomes, and faculty and staff composition, highlighting the state of Latino students in the Commonwealth. The analysis offers descriptive data to inform policymakers, practitioners, and institutional leaders. It does not evaluate causal relationships or institutional effectiveness. The institutions included in this report were identified as HSIs and emerging HSIs through full-time equivalent (FTE) analysis for fall 2024 data. This is not an official or comprehensive list of schools eligible for, or that …

The Educational Disconnect: How Much Do Parents Understand About The Special Education Process?, Marisa Anne Aiello Michalowski

Theses & Dissertations

People with disabilities constitute the largest minority group in the United States. Yet, they face significant barriers that often lead to lowered academic outcomes. Federal and state K-12 educational policies emphasize family engagement as a core component of student success. The problem is that parents are not always fully informed of the special education process or their role on the Committee on Special Education (CSE), which in New York State is a team of educators, specialists, and parents that help determine appropriate special education services and placements. The purpose of this phenomenological research study was to explore the knowledge that …

"What Is That Data Really Telling You?": How Central Office Leaders Use Equity-Focused Data Practices To Rethink District Improvement, Nadine Sánchez

Theses & Dissertations

Public school districts face growing expectations to advance educational equity while operating within accountability systems that often prioritize measurable performance outcomes. Despite these expectations, less is understood about how central office leaders use data to support equity-focused systems change across schools. This critical exploratory case study examined how central office leaders in one public school district with an explicit commitment to equity used data to advance equity-focused improvement efforts. Guided by culturally responsive school leadership, coherence, and infrastructure of accountability frameworks, the study explored how leaders established a districtwide vision for equity, built capacity for data use, and used data …

Intellectual Play And Its Relationship To Teacher Self-Efficacy, Gregory William Kile

All-Inclusive List of Electronic Theses and Dissertations

This study set out to explore what can be done to improve outcomes for students in Indiana public schools and beyond by exploring ways in which educational leaders might be able to increase levels of teacher self-efficacy in their existing staff. It looked specifically at intellectual play, defined as the behaviors associated with metacognition, play, and innovation, and analyzed its relationship with teacher self-efficacy. Student achievement and overall success in school is critically important to them as individuals and to our society as a whole. If there are innovative ways to improve those outcomes for students, they should be explored. …

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 …

Interfold: Learning Interpretable Diffusion Manifolds Beyond Binary Samples, Alexander Vincent Lewi, Rainer Tan, Shengfeng He

Research Collection School Of Computing and Information Systems

We propose InterFold, a framework for learning and applying interpretable semantic manifolds in latent diffusion models, without requiring binary or paired supervision. Existing methods for semantic editing either rely on limited paired data or uncover only coarse, unsupervised directions that fail to capture user-specific, fine-grained attributes. InterFold addresses these limitations by learning a target attribute manifold in the H-space of diffusion models using only a set of positive, unlabeled examples. To edit a new image, InterFold projects its H-space representation toward this learned manifold through test-time optimization, enabling precise, identity-preserving modifications of complex, non-binary concepts. To make these edits effective …

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

Vehicle-Based Multi-Services For Future Smart Cities, Hao Sun, Jinhua Zhao, Hai Yang, Shenhao Wang, Hamsa Balakrishnan, Thomas W. Malone, Hai Wang

Research Collection School Of Computing and Information Systems

Vehicles are crucial for sustaining socioeconomic activity and improving quality of life in modern cities by offering diverse services. These include passenger mobility, goods delivery, information acquisition, and acting as mobile servers such as food trucks and mobile lockers. At the same time, they also contribute to traffic congestion and air pollution. This tension fosters the rise of urban resource-conserving and sustainable service solutions. In this article, we introduce the concept of “Vehicle-Based Multi-Services” (VeMuS), in which a single vehicle offers multiple services simultaneously. Drawing on practical use cases, we examine service classification and integration for vehicles and the potential …

Adaptive Outlier Detection Over Data Stream, Rui Zhu, Mingyuan Jiang, Xiaochun Yang, Baihua Zheng, Bin Wang, Tao Qiu

Research Collection School Of Computing and Information Systems

Continuous distance-based outlier detection in streaming data poses significant challenges and has a wide range of practical applications. Traditional threshold-based methods perform well under stable streaming conditions, where fixed parameters remain effective. However, they often struggle with dynamic data distributions and high stream speeds, leading to suboptimal performance, limited control over the number of returned outliers, and failure to meet real-time detection requirements. To address these issues, this paper introduces a novel Recall and Proportion-Aware Outlier Detection (RPA-OD) query. In RPA-OD, ρ defines a distance relaxation that enables real-time outlier detection. Specifically, objects with fewer than k neighbors within the …

“Alexa, Do Not Say That In Front Of My Boss!” A Cross-Cultural Comparison Of User And Ai Preferences For Privacy-Aware Smart Speaker Interactions Across Contexts, Lynne Warin, Emily Aurelia, Anthony Tang, Emily Aurelia, Delphine Reinhardt

Research Collection School Of Computing and Information Systems

Due to their limited ability to reason about the social context in which they are used, smart speakers pose significant privacy risks by responding in ways that may violate people's implicit social boundaries. We conducted a cross-cultural vignette study (N = 944) in Germany and Singapore to investigate how situational factors—specifically social context (bystander relationships and closeness), physical context (location), and interaction context (topic and deceptive intent)—regulate user preferences for smart speaker responses. Our results demonstrate that these factors are superior predictors of response preferences than dispositional user traits (i.e., intrinsic personal traits). We identify two distinct social dynamics: a …

Well-Being Of University Students In Singapore, Tina Li Yi Ng, Andree Hartanto, William Tov

Research Collection School of Social Sciences

Singapore provides an insightful case study for university student well-being due to its national culture of competitiveness. Amid a meritocratic society that valorizes academic success as the path to securing one’s future (Ho et al., 1998), educational attainment is central to Singaporean university students’ well-being (Inter-University Network, 2022). In response to Singapore’s increasing incidence of mental health challenges among young adults (Ministry of Health Singapore, 2022), the government and higher education institutes have sought to destigmatize mental health and improve accessibility to related resources. In this chapter, we review the literature on the well-being of Singaporean university students. We situate …

From Review To Synthesis: A Step-By-Step Methodological Guide To Systematic Reviews And Multilevel Meta-Analyses, Meilan Hu, Paye Shin Koh, Xun Ci Soh, Andree Hartanto, Nadyanna M. Majeed

Research Collection School of Social Sciences

We provide a step-by-step guide on conducting a quantitative systematic review (i.e., meta-analysis) using the open-source programming language R, as well as conducting a multilevel meta-analysis, in contexts where effect sizes are non-independent (e.g., multiple studies from the same lab). Quantitative systematic reviews offer researchers a method for synthesizing large bodies of literature, helping clarify inconsistent findings, identify research gaps, and refine theoretical models. However, existing tutorials often assume prior knowledge and/or experience, often overlooking foundational concepts. To address this gap, a comprehensive walkthrough of the systematic review process is presented, covering pre-registration, literature search and retrieval, screening, risk of …