Digital Commons Network^™

Exploring The Relationship Between Energy Use And Sectoral Output At The Useful Stage, Daniel Chester, Ritika Susarla, Paul Brockway, Emmanuel Aramendia, Matthew Magness, Matthew Kuperus Heun

University Faculty Publications and Creative Works

1.Develop a publicly-available dataset of sectoral useful energy/exergy intensities

• And final, where not already existing

• How do global sector-level trends change when viewed from the useful stage?
• Are similar convergence patterns observed compared to previous analysis?
• How do sectoral differences explain aggregate convergence/divergence?

Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian

Mineta Transportation Institute

Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the …

Securing A Calibrated Marketing Budget, Junqiu Jiang, Kapil R. Tuli, Nirmalya Kumar

Research Collection Lee Kong Chian School Of Business

This study investigates the sociopolitical processes underlying the development and approval of marketing budgets in large multinational corporations. While prior research has focused extensively on optimizing the level and allocation of marketing budgets, little attention has been paid to the internal organizational dynamics that shape the marketing budgeting process. Drawing on the theories-in-use of both CMOs and CEOs, this study examines how these executives codevelop a calibrated marketing budget (CMKB)—a budget that aligns expected performance with allocated resources through an iterative, participative process. Field data show that CMOs deploy a set of signals to assuage CEO concerns related to goal …

The Power And Peril Of Awe In Leadership: Transforming Follower Identity And Behavior, Jack Mcguire, Daniel Mcallister, Jochen Menges, David De Cremer

Research Collection Lee Kong Chian School Of Business

Awe is a profound emotion that has captured significant attention within psychological research. While the potential for leaders to inspire awe in followers has received some recognition, systematic research on the nature and effects of awe in leadership—and within organizational contexts more broadly—remains limited. In this article, we offer a conceptual framework that explains the multifaceted and transformative nature of leadership through the power of awe. Specifically, we identify four leader behaviors—charismatic leadership tactics, exceptional performance, problem reframing, and self-sacrificial behavior—that elicit awe among followers. We further propose three variants of awe-inspiring leaders, describing how variation in a leader’s self-construal …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

Keeping Up With The Times? Rethinking Social Evaluations Research Under Contemporary Technological And Sociopolitical Forces, Marco Clemente, Michael Etter, Yuliya Snihur, Gokhan Ertug, Graffin Scott, Anastasiya Zavyalova

Research Collection Lee Kong Chian School Of Business

The context within which social evaluations form has been fundamentally altered by contemporary forces, such as digital technologies, polarization, activism, politicization of business, and geopolitical tensions. While research on social evaluations has generated rich insights into the formation and development of constructs, such as legitimacy, status, reputation, stigma, trust, and celebrity, much of this work has been developed under the assumptions of relative stability, coherent audiences, and well-defined intermediary roles. These assumptions are increasingly challenged in this changing context, requiring us to rethink the formation and management of social evaluations. The articles in this special issue focus on these changes. …

Investigating The Factors Impacting Consumer Intentions To Purchase Energy-Efficient Appliances, Yusra Memon, Raheela Haque

Business Review

Energy-efficient appliances protect the environment through reduced energy usage, lowering pollution, and preserving natural resources. Hence, this research is aimed to examine the factors influencing Pakistani consumers' intentions to purchase energy-efficient appliances. This research adopts a quantitative approach and purposive sampling technique, and the data was collected from 350 respondents belonging to major metropolitan cities of Pakistan i.e. Karachi, Hyderabad, Lahore, Islamabad, while SPSS and AMOS were used for data analysis. The study supports a number of important relations suggested by the Value–Belief–Norm (VBN) theory in the framework of buying energy-efficient appliances (EEAs) in Pakistan. Biospheric values (BV) significantly forecast …

Routes To Sustainable Goods Movement: How Local And Regional Governmental Agencies Can Plan For The Sustainable Freight System Of The Future, Serena E. Alexander, Avante Grady

Mineta Transportation Institute

Freight transportation plays a critical role in supporting economic activity and everyday consumption across metropolitan regions, but growing freight demand continues to increase congestion, infrastructure strain, greenhouse gas emissions, air pollution, and safety risks. These impacts often disproportionately affect low-income and environmentally burdened communities. This report examines how metropolitan regions across the United States are planning for sustainable freight transportation through content analysis of freight and goods movement plans and interviews with freight planning professionals. The study analyzes plans from eight major metropolitan regions to identify common freight planning strategies, implementation approaches, opportunities, and barriers related to sustainability, resilience, and …

Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam

Mineta Transportation Institute

Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …

Mitigating Negative Consequences Of New Urban Growth In Disadvantaged Communities, Shishir Mathur, Christopher E. Ferrell, Cindy Adrian

Mineta Transportation Institute

New housing and development in California are often planned in communities that already face economic hardship, environmental burdens, and limited access to reliable transportation. Recent research finds specifically that in the San Francisco (S.F.) Bay Area and Southern California (SoCal) metropolitan regions, there is a high propensity to plan new urban development in socially, economically, and environmentally disadvantaged communities (DACs) with poor transit accessibility and limited personal mobility. This project first reviews the literature to identify potential unintended negative impacts of high concentrations of new urban growth in DACs across social, economic, educational, environmental, and transportation dimensions. It then identifies …

Attendance And Academic Performance: A Comparison Of 4-Day And 5-Day School Week Schedules In Texas High Schools, Cynthia Miles

Electronic Theses and Dissertations

This quantitative cross-sectional comparable study examined the differences in academic performance and attendance in Texas public high school campuses between those operating on a 4-day instructional week and those operating on a 5-day instructional week. The study used a quantitative, cross-sectional comparable design. The analysis included campus-level data from the Texas Education Agency’s Texas Academic Performance Reports. The independent variable was instructional schedule—either a 4-day or a 5-day instructional week. The dependent variables included campus attendance rates and student performance on the English I and Algebra I End-of-Course (EOC) STAAR (State of Texas Assessments of Academic Readiness) assessments of ninth-grade …

Knowledge-State Generative Agents For Pre-Assessment Question Evaluation, Ping Fan Ke, Yi Meng Lau, Siaw Ling Lo

Research Collection School Of Computing and Information Systems

This paper introduces a Knowledge‑State Generative Agent framework for evaluating the quality of pre‑assessment questions. The framework employs large language model (LLM)–based agents prompted to adopt a teacher persona to simulate the responses of students with and without mastery of targeted knowledge components. A preliminary empirical study using archival data from 424 students enrolled in an Information Systems Management course indicates that the proposed approach yields interpretable metrics under Classical Test Theory. Results further show that agents instantiated with the relevant mastered knowledge components exhibit systematically higher performance than agents lacking such mastery. In addition, the study suggests that teacher-persona …

2026 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2026.

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Android applications (i.e., apps) are indispensable nowadays and are getting bigger and bigger with an increasing number offunctionalities. To understand how to access functionalities in an app, prior studies proposed tools to model the transitionsbetween functionalities with the activity transition graph (ATG). ATG is an important data structure and has been used forvarious Android app analyses, including app design, understanding, and testing. However, there is no benchmarking work onATG generation. It is still unclear whether the transitions identified by tools are correct and how many transitions are missed.To fill this gap, we manually identified all transitions in 98 applications to …

How Cultural Homogeneity Couples With Organizational Climate In Public School Environments, Steven R. Peterson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study examines how cultural homogeneity influences teachers’ perceptions of school climate in Indiana public schools. Grounded in systems thinking and organizational theory, the study analyzes how shared values and norms shape teachers’ responses to leadership practices and stakeholder demands. Data were collected from educators using the School Culture Survey and a custom scenario-based climate instrument capturing reactions to organizational challenges. Statistical analyses explored relationships between cultural homogeneity and teachers’ perceptions of stability, workload, and adaptive capacity. Results indicate that alignment in key cultural dimensions—particularly Collaborative Leadership—significantly shapes climate experiences, while overall homogeneity alone does not predict workload pressures. …

Designing Functional Nanolaminates From Complex Atomic Layer Deposition Reactions, Joseph Joel Muhanga

Graduate Theses and Dissertations

Atomic layer deposition (ALD) enables precise cycle by cycle control over film thickness and composition. This kind of control is ideal for the engineering of functional nanolaminate coatings with tailored optical properties. Since ALD synthesized composite films are deposited as discrete, stratified layers and not as homogeneously intermixed solids, it is not yet clear when such composites can be be treated with the effective medium approximation (EMA). EMA is simplification that is important to the design of mixed oxide coatings. This dissertation addresses that question using a model system, and then asks whether the same approach can be used to …

Scattered Hypothesis Generation For Open-Ended Event Forecasting, He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma

Research Collection School Of Computing and Information Systems

Despite the importance of open-ended event forecasting for risk management, current LLM-based methods predominantly target only the most probable outcomes, neglecting the intrinsic uncertainty of real-world events. To bridge this gap, we advance open-ended event forecasting from pinpoint forecasting to scatter forecasting by introducing the proxy task of hypothesis generation. This paradigm aims to generate an inclusive and diverse set of hypotheses that broadly cover the space of plausible future events. To this end, we propose SCATTER, a reinforcement learning framework that jointly optimizes inclusiveness and diversity of the hypothesis. Specifically, we design a novel hybrid reward that consists of …

Co-Production Of A Mobile Application For Parents Of Acutely Ill Children Under Five: ‘Ipoorly Child Symptom Checker’, Sarah Neill, Amy Rathbone, John Downey, Monica Lakhanpaul, Damian Roland, Matt Carey

School of Nursing and Midwifery

Acutely-ill children under five years are increasing users of urgent and emergency care with no increase in acuity of presenting illnesses. This raises concerns about parents' knowledge and confidence in assessing the severity ofsymptoms of acute illness, despite the abundance of digital information available.Method:Weco-designedtheiPoorlychildsymptomcheckerappusingexperience-basedco-designmethodology with seven parents and seven health professional patient and public involvement representatives. The prototype was iteratively developed on a no-code platform, then released for testing on android and iOS app stores for six weeks. The app was downloaded 603 times and 60% of users completed the embedded evaluation form. Results: System usability scale items were all …

The Due Diligence That Investors In Family Businesses Must Not Skip, Yuanto Kusnadi, Kenneth T. Goh

Research Collection School Of Accountancy

In a commentary, SMU Associate Professor of Accounting (Education) Yuanto Kusnadi and Kenneth Goh, Director of Private Wealth Management at UOB Kay Hian, opined that minority shareholders should understand the specific risks highlighted in company filings. They noted that the greatest risk of investing in a family-controlled company lies not only in its business performance, but also in how controlling families exercise their influence. While Singapore's regulatory framework provides safeguards for minority shareholders, these protections are not foolproof. However, they require significant transactions to be disclosed and give minority shareholders a voice, provided they review the circulars and exercise their …

Personal Goal Facilitation, Burnout And Work Engagement: The Role Of Self-Discrepancy, Jacinth Jia Xin Tan, Bek Wuay Tang

Research Collection School of Social Sciences

Employees who perceive greater personal goal facilitation through work (PGFW) experience lower burnout and higher work engagement. This research examined whether self-discrepancies and emotional experiences explain these relationships across two cross-sectional studies involving a nationally representative sample of working adults (Study 1; N = 889) and a sample of public school teachers (Study 2; N = 228) in Singapore. Participants listed personal goals and rated how much their jobs facilitated these goals, alongside measures of self-discrepancy, emotions, burnout, and engagement. Across both samples, higher PGFW predicted lower burnout and greater engagement. These associations were consistently explained by lower ideal self-discrepancy …

Global Prevalence Of Internet Gaming Disorder: An Umbrella Review Of Meta-Analytic Evidence And Implications For Child And Adolescent Psychiatry, Elisabeth C. S. Poon, Xun Ci Soh, Trina J. H. Poh, Andre C. S. Tan, Andree Hartanto

Research Collection School of Social Sciences

Background/Objectives: Internet gaming has become a widespread global activity, raising concerns about the prevalence of Internet Gaming Disorder (IGD). However, existing meta-analyses report highly variable prevalence estimates. This umbrella review aims to clarify the prevalence and variability of IGD by synthesizing evidence from meta-analyses to provide a comprehensive overview of IGD prevalence across populations, age groups, and regions. Methods: Following PRISMA guidelines, systematic searches were carried out across five published literature databases and two supplementary search sources. Title and abstract screening, followed by full-text eligibility assessment, were conducted independently by three authors. The same three authors then performed data extraction …

A 10-Minute Walk From The Mrt. But For Whom?, Paulin Tay Straughan, Yi Wen (Chen Yiwen) Tan, Wensi Lim

Research Collection School of Social Sciences

They highlighted that as people age, mobility naturally declines, adding that the convenient shorthand such as a “10-minute walk” to define accessibility is ultimately a social construct – one that must be grounded in lived realities and evidence. They noted that ageing in place is not just the ability to remain at home as one transitions into later life – it is about living in an environment that fosters attachment, continuity and well-being, which requires both the built and social environments to be supportive. Responses must be guided by solid evidence – through ongoing conversations with those whose needs we …

Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong

Research Collection College of Integrative Studies

A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …

Soilless Substrates As A Critical Control Point For Mitigating Food Safety Risks Within Hydroponic Leaf Lettuce Production, Eric Nuertey Tetteh

Graduate Theses and Dissertations

The effect of hydroponic soilless substrates and microbial biocontrol agents on the persistence of foodborne pathogens in indoor lettuce production is variable depending on substrate type, pathogen species, and biocontrol formulation. This study addressed key gaps by first characterizing the ability of different substrates to support Salmonella and Listeria monocytogenes survival and then evaluating the ability of pine biochar and Bacillus subtilis to suppress pathogen persistence in selected substrates under controlled conditions. In the first experiment, the persistence of Salmonella and L. monocytogenes was evaluated in four soilless substrates: rockwool (RW), low density foam (LDF), peat moss (PM) and coco …

The Narrative Dynamics Of Special Books By Special Kids Youtube Videos And Comments: A Study Of Disability Rhetoric And Public Narrative Engagement, Jessica Louise Allee

Graduate Theses and Dissertations

Digital media has expanded disability advocacy and community building by enabling accessible, visual storytelling and connection. Special Books by Special Kids (SBSK), a YouTube channel using interview-based disability storytelling, foregrounds people’s experiences with disabilities in the videos, while inviting viewers to interpret, identify with, and respond in the comments. As a participatory storytelling space, SBSK offers a site for examining how disability meanings are constructed, negotiated, and transformed through narratives, multimodal practices, and audience uptake, while revealing how dominant disability rhetoric or ableist discourse that positions people with disabilities as burdens, inherently deficient, or socially devalued, can be reproduced, complicated, …

Fugue State: The Body Politic Of Identity Theatre, Sean Patrick Ryan

Graduate Theses and Dissertations

This paper will cover my approach as an actor and a creator in two separate productions during my time at the University of Arkansas. The first is a solo theatre piece that I devised under the tutelage of Michael Landman. This work, Half Brother, is a piece of theatre that takes an abstract approach to exploring the familial and psychological ripples that can occur in the life of a queer person when a parental unit takes on a political and religious identity that is oppositional to the LGBTQ community. It exposes the effect this transformation has on the child, their …

Dragging The Self: Manifesting Genderqueer Identity As A Drag King Performer And Teacher, Jasmine Mcmasters

Graduate Theses and Dissertations

This thesis investigates drag performance as a site of gender identity formation, pedagogical practice, and arts-based inquiry through a critical autoethnographic methodology. Drawing on my lived experience as the drag king, Jas Mania, I investigate how drag functions as a dialogical relationship between performance and self, facilitating an ongoing exploration of my identity as a queer, non-binary artist and educator. Situated within theories of gender performativity, queer phenomenology, queer temporality, and performative pedagogy, this research considers how embodied performance generates knowledge that extends beyond the stage and into everyday life. Using improvisatory arts-based methods of reflective journaling and performance production, …

Purifai: Detecting And Fixing Search-Induced Distortions In Web-Augmented Llms, Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao

Research Collection School Of Computing and Information Systems

As Large Language Models (LLMs) increasingly serve as interfaces for proprietary data (e.g., enterprise knowledge bases, legal statutes), ensuring their fidelity to trusted internal information is paramount. While integrating real-time web search can enhance model utility, it introduces a critical vulnerability: the ingestion of conflicting, misleading, or hallucinated content from the open web can override the model's adherence to its verified internal knowledge. We define this failure mode as search-induced distortion, a significant risk in high-stakes domains where the internal knowledge base serves as the absolute ground truth.To address this challenge, we present PurifAI, a proactive, model-agnostic, cache-level purification system …

Verbalizing Lightgcn: Direct Learning Of Textual Representations From User-Item Interaction Graph Via Llms, Manh-Khanh Ngo Huu, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In this work, we propose VerbaLightGCN, a novel LLM-based recommendation framework that integrates the semantic understanding of LLMs with user-item interaction modeling. Traditional collaborative filtering (CF) models typically embed user and item IDs into a latent space to capture interaction signals. However, pretrained LLMs cannot natively interpret these learned embeddings. To bridge this gap, VerbaLightGCN adopts a CF-as-text paradigm, in which collaborative signals are encoded in textual form and directly learned from the user–item interaction graph, and are then combined with semantic information to construct user and item profiles that function as latent embeddings. Inspired by LightGCN, our method retains …