Digital Commons Network^™

Management Of Neonates In The Special Care Nursery And Its Impact On The Developing Gut Microbiota: A Comprehensive Clinical Review, Ravisha Srinivasjois, Shripada Rao, Gavin Pereira

Research outputs 2022 to 2026

The first few days following the birth are a vulnerable time for the neonate. Sick infants experience various interventions during their stay in the neonatal unit in order to stay alive and grow. Acquisition of gut microbes is critical for the short- and long-term health of the neonate. At a time when the gut microbiome is starting to take shape, crucial interventions directed at improving the growth, development and survival of the neonate impact its development. Events prior to and after the birth of the neonate, such as maternal conditions, antibiotic exposure, type of feeds, supplemental probiotics, and neonatal intensive …

Mining Waste In Asphalt Pavements: A Critical Review Of Waste Rock And Tailings Applications, Adeel Iqbal, Nuha S. Mashaan, Themelina Paraskeva

Research outputs 2022 to 2026

This paper presents a critical and comprehensive review of the application of mining waste, specifically waste rock and tailings, in asphalt pavements, with the aim of synthesizing performance outcomes and identifying key research gaps. A systematic literature search yielded a final dataset of 41 peer-reviewed articles for detailed analysis. Bibliometric analysis indicates a notable upward trend in annual publications, reflecting growing academic and practical interest in this field. Performance-based evaluations demonstrate that mining wastes, particularly iron and copper tailings, have the potential to enhance the high-temperature performance (i.e., rutting resistance) of asphalt binders and mixtures when utilized as fillers or …

High Flying Adored: How Ceo Narcissism Influences Firms’ Responses To Above-Aspiration Performance With Risky Organizational Change, Korcan Kavusan, Daniel Mack, Matthew P. Mount, Gokhan Ertug

Research Collection Lee Kong Chian School Of Business

Research Summary: Research on performance feedback presents conflicting views on how above-aspiration performance influences organizational change. Some studies argue that it constrains change due to a lack of organizational motivation, while others suggest that it enables change by expanding managerial discretion. Reconciling these perspectives, we suggest that managers’ narcissistic tendencies can fundamentally alter how a firm responds to above-aspiration performance. We theorize and find evidence that high-narcissism CEOs respond to above-aspiration performance with more acquisitions—attention-generating actions that align with their self-enhancement motives, while under similar conditions low-narcissism CEOs avoid acquisitions, due to their uncertainty and risk. Our findings highlight the …

Impact Of Patient Diaries On Children, Families, And Healthcare Professionals In Paediatric Intensive Care Settings: A Scoping Review, Fiona Lynch, Jos M Latour, Ruth Endacott

School of Nursing and Midwifery

OBJECTIVE: The aim of this scoping review was to understand the current landscape, features, and volume of evidence that address the review question: what is the impact of Paediatric Intensive Care Unit (PICU) patient diaries on children, families, and healthcare professionals (HCPs)? To provide context: descriptions of diary models was also provided.

METHOD: The search strategy was structured using the Population, Concept, and Context model to focus the review question. The inclusion criteria were intentionally broad to include all studies published in English from January 2016 until November 2024. The databases CINAHL, Medline, and EMBASE were used to retrieve articles, …

Bridging Generations: Intergenerational Transfers And Time Use In A Changing World, Christine Ho

Research Collection School Of Economics

This Special Issue brings together nine papers that examine how families allocate time and money across generations. Spanning aging societies in East Asia to informal settlements in the Pacific, the contributions employ diverse methodological approaches, from natural experiments and policy variation to administrative data linkage and cross-generational panel surveys. The findings converge on a central insight: intergenerational transfers of time and money are not merely cultural practices, but systematic responses to changing economic environments and institutional frameworks. Family decisions are critical to the provision of long-term care, investment in children’s human capital, and the transmission of preferences, opportunities, and well-being …

Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang

Research Collection School Of Economics

The reallocation of jobs to more productive firms is a substantial component of aggregate productivity growth, yet job reallocation rates have declined substantially in the United States. This paper explores the hypothesis that greater technological rivalry has exacerbated adjustment costs, slowing reallocation. Using microdata at the US Census and estimates of technological rivalry in firm growth regressions, we find that technological rivalry slows firm responses to productivity shocks. Firms do not expand as rapidly in the face of higher obsolescence risk. Estimating counterfactual firm growth from 1997-2018, we find that growing technological rivalry accounts for most of the decline in …

Bulloch County National Register Of Historic Places Collection, Zach S. Henderson Library Special Collections

Finding Aids

Spanning 1970 to 1997, the collection contains materials regarding the application process for various Bulloch County properties to the National Register of Historic Places. Materials include official application paperwork, along with correspondence between various officials and property owners regarding processing, status updates, or requests for more information. Photographs of properties and supplemental documents such as genealogical records, newspaper clippings, and written narratives surrounding the development of the properties are also included.

Find this collection in the libraries' catalog.

Improving Hiv Pep Patient Follow-Up Appointment And Laboratory Testing In A Telehealth Setting: A Quality Improvement Project, Ralston Lockett

Doctor of Nursing Practice Projects

The ongoing HIV epidemic in the United States highlights the need for innovative prevention strategies, including non-occupational post-exposure prophylaxis (nPEP). This Doctor of Nursing Practice (DNP) project evaluated a telehealth-based intervention aimed at increasing HIV PEP follow-up appointments and laboratory completion rates, while also enhancing provider knowledge. Dual interventions included a patient reminder system and provider education. While provider knowledge significantly improved post-intervention, based on Cohen’s d effect size of 0.62, clinical significance was demonstrated by follow-up appointment rates declining from 44% pre-intervention to 41% post-intervention. Laboratory completion rates also decreased, with 53% of patients completing labs pre-intervention compared to …

Not All Political Ties Are The Same: Firms' Ties To The Government And Pollution, Wen Helena Li, Ilya R. P. Cuypers, Gokhan Ertug, Hari Bapuji, Wei Liu

Research Collection Lee Kong Chian School Of Business

Complementing research on the implications of political ties for firms’ strategic decisions and financial performance, recent studies are increasingly focusing on the environmental consequences of firms’ political connections. We contribute to this stream of work by integrating insights from the literature on political ties and the multifaceted nature of governments to explore how the level of government influences the pollution implications of firms’ political ties. Specifically, we theorize and demonstrate that, in China, firms' achieved political ties with high levels of the government reduce pollution, while such ties with low levels of the government increase it. Furthermore, we examine how …

Developing A Novel Patient-Centered Definition Of Severe Maternal Morbidity, Adina R. Kern-Goldberger

Faculty Scholarship

Background: Defining, preventing, and evaluating severe maternal morbidity (SMM) has become an important component of obstetric care delivery, but existing frameworks for SMM do not account for how patients perceive and experience morbidity. Objective: This study evaluated patient values and perceptions related to maternal pregnancy complications with the goal of devising a patient-centered maternal morbidity composite. Study Design: This 2-part sequential qualitative to quantitative mixed-methods study first involved semi-structured interviews of postpartum patients recruited from an urban, academic hospital prior to discharge from the delivery admission with purposive sampling by race and mode of delivery. Qualitative data around patient-perceived adverse …

I See Sick People: Beliefs About Sensory Detection Of Infectious Disease Are Largely Consistent Across Cultures, Joshua M. Ackerman, Theodore Samore, Daniel M. T. Fessler, Norman P. Li, Et Al

Research Collection School of Social Sciences

Identifying cues to contagious disease is critical for effectively tracking and defending against interpersonal infection threats. People hold lay beliefs about the types of sensory information most relevant for identifying whether others are sick with transmissible illnesses. Are these beliefs universal, or do they vary along cultural and ecological dimensions? Participants in 58 countries (N = 19,217) judged how effective, and how likely they were to use, cues involving each of the five major sensory modalities in an imagined social interaction during a flu outbreak. Belief patterns were strongly consistent across countries (sight > audition > touch > smell > taste), suggesting a largely …

On The Origin Of Green Finance Policies, Theodor Florian Cojoianu, D. French, Andrea G. F. Hoepner, Sheenan L., Anh Vu

Research Collection College of Integrative Studies

Despite the rising number of green finance policies, the socioeconomic determinants shaping them remain largely unexamined. Drawing from the literature analysing the relationship between regulation, market development and institutional economics, we contend that green finance policy adoption is driven by both market-based and institutional factors. Using a survival analysis approach to understand the levers influencing green finance policy adoption across 188 countries from 2000 to 2019, we find that exposure to the fossil fuel industry predominantly drives the initial issuance of green finance policies. The positive effect of fossil fuel commercial financing on the adoption of green finance policies exists …

International Comparison Of Weather And Emission Predictive Building Control, Christian Hepf, Ben Gottkehaskamp, Clayton Miller, Thomas Auer

Research Collection College of Integrative Studies

Building operational energy alone accounts for 28% of global carbon emissions. A sustainable building operation promises enormous savings, especially under the increasing concern of climate change and the rising trends of the digitalization and electrification of buildings. Intelligent control strategies play a crucial role in building systems and electrical energy grids to reach the EU goal of carbon neutrality in 2050 and to manage the rising availability of regenerative energy. This study aims to prove that one can create energy and emission savings with simple weather and emission predictive control (WEPC). Furthermore, this should prove that the simplicity of this …

Mexican Americans’ Attitudes Toward Mexican Immigrants In The United States, Sandra Daisy Espinoza Montes

Dissertations

The United States (U.S.) has often been described as a nation of immigrants. Among the 40 million immigrants in the U.S., Mexican-descent individuals comprise 25% of the overall immigrant population, positioning them as the largest immigrant group in the country. Additionally, Mexican Americans constitute 63% of the Latinx population, making them the largest minoritized ethnic group in the U.S. Considering that Mexican immigrants and Mexican Americans have a significant presence in the country, scholars have called for additional research on attitudes towards Mexican immigrants (Byrne & Dixon, 2016; Flores et al., 2022). However, much of the existing literature on attitudes …

Developing An Integrated Risk Assessment Framework To Quantify The Resilience Of Critical Railway Infrastructure: Characterization Of Risks And Hazards To The U.S. Rail Network Through Empirical Data And Past Events, Haizhong Wang, Brian M. Staes, Benyamin Ghoreishi

Mineta Transportation Institute

To improve understanding of the impact of natural hazards on the U.S. railway system, this project developed a comprehensive, geospatially precise dataset that maps historical hazard events to specific rail segments. The project provides insight into when, where, and how much damage natural hazards have inflicted on rail infrastructure across the country. While a rail-specific hazard database did not previously exist, this research combines data from the Geological Survey (USGS) Flood Events Database, Hydrologic Unit Codes (HUC), the National Centers for Environmental Information (NCEI) from the National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS) forecast zones. …

The Impact Of Mindfulness Therapy To Reduce Disruptive Behavior In High School, Wendy Nell Peters

Electronic Theses and Dissertations

The aim of this project was to determine the impact and effectiveness of Gina Biegel’s mindfulness techniques for stressed teens method on adolescent anxiety and the disruptive symptoms that lead to high school adolescents being assigned to detention. This project described a quantitative correlational design research project that investigated a small adolescent sample size, with a goal of decreasing the number of local high school adolescent students who are repeat detention offenders, by implementing Gina Biegel’s mindfulness techniques for stressed teens method on those high school adolescents who were assigned to detention. This was achieved by collecting demographic data from …

An Exploratory Descriptive Study Of Urban Professional High School Counselors' Work Culture, Burnout, And Mental Well-Being, Alexandria L. Hall

Electronic Theses and Dissertations

This descriptive, exploratory, qualitative study examined urban, public U.S. high school counselors’ perceptions of job-related stress, autonomy, and administrative support within urban school environments. Seven current high school counselors working in urban public schools were recruited through convenience sampling in educator forums on Facebook, followed by snowball sampling to expand the participant pool. Counselors participated in semistructured interviews conducted via Zoom or asynchronous online focus groups hosted on Padlet, depending on the participant’s preference. Data were analyzed using Braun and Clarke’s six-step thematic analysis process, supported by Dedoose software for coding and data management. The analysis revealed four major themes: …

Overcoming Second-Order Barriers To Teachers’ Technology Integration: A Study Of Positive Impacts, Crystal Ann Hume

Electronic Theses and Dissertations

This study explored K–12 public school teachers’ self-efficacy, value, and pedagogical beliefs about technology. The teachers worked in a medium-sized, semi-affluent public school district in North Texas. The study investigated second-order barriers to technology integration and what might positively impact teachers’ self-efficacy, value, and pedagogical beliefs. This study used a qualitative descriptive methodology to collect qualitative data about their beliefs by interviewing and observing K–12 classroom teachers who had completed a bachelor’s degree through a traditional teacher education program. Teachers with alternative certifications or noncertified classroom instructors were omitted. Findings revealed that external factors, failure, mistakes, confidence, and professional development …

A Study Of Urban High School Teachers' Perceptions Of Multicultural Education, Clifford D. Alexander

Electronic Theses and Dissertations

This dissertation investigated urban high school teachers’ perceptions of multicultural education and how those perceptions related to instructional practices. Guided by culturally responsive pedagogy, the study addressed the persistent achievement gap among minority students and the limited integration of multicultural education in U.S. public schools. The purpose of this study was to evaluate teachers’ perceptions of multicultural education and examine their connection to teaching practices and cultural background. A quantitative cross-sectional survey design was employed with a sample of 331 urban high school teachers. Findings indicated that the majority of participants held positive views toward multicultural education, recognizing its role …

Gcot: Chain-Of-Thought Prompt Learning For Graphs, Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang

Research Collection School Of Computing and Information Systems

Chain-of-thought (CoT) prompting has achieved remarkable success in natural language processing (NLP). However, its vast potential remains largely unexplored for graphs. This raises an interesting question: How can we design CoT prompting for graphs to guide graph models to learn step by step? On one hand, unlike natural languages, graphs are non-linear and characterized by complex topological structures. On the other hand, many graphs lack textual data, making it difficult to formulate language-based CoT prompting. %Therefore we cannot directly adopt the CoT prompting methods used in the language domain. In this work, we propose the first CoT prompt learning framework …

Quantizing Text-Attributed Graphs For Semantic-Structural Integration, Jianyuan Bo, Hao Wu, Yuan Fang

Research Collection School Of Computing and Information Systems

Text-attributed graphs (TAGs) have emerged as a powerful representation for modeling complex relationships across diverse domains. With the rise of large language models (LLMs), there is growing interest in leveraging their capabilities for graph learning. However, current approaches face significant challenges in embedding structural information into LLM-compatible formats, requiring either computationally expensive alignment mechanisms or manual graph verbalization techniques that often lose critical structural details. Moreover, these methods typically require labeled data from source domains for effective transfer learning, significantly constraining their adaptability. We propose STAG, a novel self-supervised framework that directly quantizes graph structural information into discrete tokens using …

The 6th International Workshop On Talent And Management Computing (Tmc 2025), Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for leaders to deliver intelligence for effective management for organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 6th International Workshop on Talent and Management Computing …

Akma+: Security And Privacy-Enhanced And Standard-Compatible Akma For 5g Communication, Guomin Yang, Guomin Yang, Yingjiu Li, Minming Huang, Zilin Shen, Imtiaz Karim, Ralf Sasse, David Basin, Elisa Bertino, Jian Weng, Hwee Hwa Pang, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The Authentication and Key Management for Applications (AKMA) protocol is a fundamental building block for security and privacy of 5G cellular networks. Therefore, it is critical that the protocol is free of vulnerabilities that can be exploited by attackers. Unfortunately, based on a detailed analysis of AKMA, we show that AKMA has several vulnerabilities that may lead to security and privacy breaches.We define AKMA+, an enhanced protocol for 5G communication that protects against security and privacy breaches while maintaining compatibility with existing standards. AKMA+ includes countermeasures for protecting communication between the user equipment (UE) and application functions (AFs) from attackers, …

Faithfulrag: Fact-Level Conflict Modeling For Context-Faithful Retrieval-Augmented Generation, Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su

Research Collection School Of Computing and Information Systems

Large language models (LLMs) augmented with retrieval systems have demonstrated significant potential in handling knowledge-intensive tasks. However, these models often struggle with unfaithfulness issues, generating outputs that either ignore the retrieved context or inconsistently blend it with the LLM’s parametric knowledge. This issue is particularly severe in cases of knowledge conflict, where the retrieved context conflicts with the model’s parametric knowledge. While existing faithful RAG approaches enforce strict context adherence through well-designed prompts or modified decoding strategies, our analysis reveals a critical limitation: they achieve faithfulness by forcibly suppressing the model’s parametric knowledge, which undermines the model’s internal knowledge structure …

Debate, Reflect, And Distill: Multi-Agent Feedback With Tree-Structured Preference Optimization For Efficient Language Model Enhancement, Xiaofeng Zhou, Heyan Huang, Lizi Liao

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) continue to set new standards in knowledge-intensive and complex reasoning tasks, yet their high computational demands limit widespread adoption. While distilling large models into smaller ones offers a sustainable solution, current techniques—such as static knowledge distillation, resource-intensive reinforcement learning from human feedback, or limited self-reflection—struggle to yield substantial and lasting performance gains. In this paper, we present a novel Debate and Reflect (D&R) framework that orchestrates multi-turn debates between smaller models and stronger teacher models, eliciting actionable feedback (e.g., error analysis, corrective strategies) to guide student models. Further, we introduce Tree-structured Direct Preference Optimization (T-DPO) to …

Memotune: A Measure And Moment-Driven Fine-Tuning Framework For Quantized Large Language Models, Yun Zhang, Xue Geng, Lizi Liao, Jintong Sun, Minghe Yu, Ge Yu

Research Collection School Of Computing and Information Systems

Quantizing large language models (LLMs) is essential for reducing memory and computational costs in natural language processing. Existing methods combine quantization with parameter-efficient fine-tuning but often fail to meet practical performance requirements. This paper introduces MeMoTune, a novel fine-tuning framework for quantized LLMs. By employing a measure and moment approach within a low-rank approximation framework in probability measure space, MeMoTune optimizes the objective function for superior fine-tuning results. The update process is further refined through scaled gradient, enhancing convergence efficiency and noise robustness. Experiments on tasks like text generation, summarization, and understanding show MeMoTune significantly outperforms state-of-the-art methods, e.g. fine-tuning …

R2dqg: A Quality Meets Diversity Framework For Question Generation Over Knowledge Bases, Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan

Research Collection School Of Computing and Information Systems

The task of Knowledge-Based Question Generation (KBQG) involves generating natural language questions from structured knowledge sources, posing unique challenges in balancing linguistic diversity and semantic relevance. Existing models often focus on maximizing surface-level similarity to ground-truth questions, neglecting the need for diverse syntactic forms and leading to semantic drift during generation. To overcome these challenges, we propose Refine-Reinforced Diverse Question Generation (R2DQG), a two-phase framework leveraging a generation-then-refinement paradigm. The Generator first constructs a diverse set of expressive templates using dependency parse tree similarity, capturing a wide range of syntactic patterns and styles. These templates guide the creation of question …

Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research on client simulation did not focus on complex conversation tasks such as mental health counseling. In these tasks, the challenge is to ensure that the client’s actions (i.e., interactions with the counselor) are consistent with with its stipulated profiles and negative behavior settings. In this paper, we propose a novel framework that supports consistent client simulation for mental health counseling. Our framework tracks the mental state of a simulated client, controls its state transitions, and …

Genwriter: Reducing Gender Cues In Biographies Through Text Rewriting, Shweta Soundararajan, Sarah Jane Delany

Conference papers

Gendered language is the use of words that indicate an individual’s gender. Though useful in certain context, it can reinforce gender stereotypes and introduce bias, particularly in machine learning models used for tasks like occupation classification. When textual content such as biographies contains gender cues, it can influence model predictions, leading to unfair outcomes such as reduced hiring opportunities for women. To address this issue, we propose GenWriter, an approach that integrates Case-Based Reasoning (CBR) with Large Language Models (LLMs) to rewrite biographies in a way that obfuscates gender while preserving semantic content. We evaluate GenWriter by measuring gender bias …

Sad Music Listening: What Is It Good For? An Exploratory Study Of Motivations For Listening To Sad Music, Ariel Gelfand

All-Inclusive List of Electronic Theses and Dissertations

This study sought to bolster research related to the function of sad music listening. Music listening is a common coping strategy for individuals attempting to cope with and manage different emotional states, including negative or sad moods and emotions. Research surrounding self-reported reasons or motivations for listening to sad music outlines several factors that appear to serve as mood-management strategies. However, there are discrepancies among these motivations across research, which thus far has consisted of qualitative interviews of participants. (Garrido & Schubert, 2011; Saarikallio & Ekkila, 2007; Van den Tol & Edwards, 2013). Additionally, it is unclear whether listening to …