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Artificial Intelligence And Chatgpt In Libraries: A Bibliometric Analysis Of Social Science Research (2022–2026), Shrikant W. Ramteke, Yogesh B. Daphal

Library Philosophy and Practice (e-journal)

Purpose

This paper will map the world of research on artificial intelligence and chatbots in libraries systematically by analysing the trends in publications, intellectual organization, pattern of collaboration, and the way the Social Science literature has evolved with the theme of artificial intelligence and chatbots published between 2022 and 2026.

Design/methodology/approach

We have conducted a thorough bibliometric search where we have considered 7,660 peer-reviewed journal articles found in Scopus database. The collection was compiled according to the PRISMA requirements, and later, both performance-based metrics and science mapping techniques were applied.The whole process of visualisation and analysis was carried out through …

Academic Libraries As A Platform For Indigenous And Agricultural Knowledge Sharing In Rural Communities: A Conceptual And Review-Based Approach, Jenifer Yesmin Laskar, Pradip Kumar Singha

Library Philosophy and Practice (e-journal)

Agriculture and traditional knowledge are the roots of rural economy, particularly in biologically sensitive areas with diverse cultures. Preserving traditional knowledge in terms of local farming practices is an activity that is generally associated with cultural practices in these areas. The potentiality of academic libraries in terms of bridging roles for dissemination, curation, and sharing of Indigenous knowledge as well as Agriculture knowledge in the respective areas remains largely overlooked. It is an attempt to explore, indicate, and address through the theoretical approaches based upon an understanding of library science concepts, Indigenous studies, community development, sustainability studies, the roles of …

Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard

Research Collection School Of Computing and Information Systems

Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …

Dreamcs: Geometry-Aware Text-To-3d Generation With Unpaired 3d Reward Supervision, Xiandong Zou, Ruihao Xia, Hongsong Wang, Pan Zhou

Research Collection School Of Computing and Information Systems

While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically rely on hardly-collected preference-paired multi-view 2D images to train 2D reward models, when then guide 3D generation — leading to geometric artifacts, such as the Janus face problem and geometric incompleteness, due to their inherent 2D bias. To address these limitations, we construct 3D-MeshPref, the first large-scale unpaired 3D preference dataset, featuring diverse 3D meshes annotated by a large language model and refined by human evaluators. We then develop RewardCS, the …

Real-Time Motion-Controllable Autoregressive Video Diffusion, Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Real-time motion-controllable video generation remains challenging due to the inherent latency of bidirectional diffusion models and the lack of effective autoregressive (AR) approaches. Existing AR video diffusion models are limited to simple control signals or text-to-video generation, and often suffer from quality degradation and motion artifacts in few-step generation. To address these challenges, we propose AR-Drag, the first RL-enhanced few-step AR video diffusion model for real-time image-to-video generation with diverse motion control. We first fine-tune a base I2V model to support basic motion control, then further improve it via reinforcement learning with a trajectory-based reward model. Our design preserves the …

Teamwise: Exploring Virtually Embodied Ai Facilitation For Video-Based Team Onboarding, Venkata Akhila Rani Obilisetty, Mikkeline Elleby, Anthony Tang, April Yi Wang

Research Collection School Of Computing and Information Systems

AI-mediated facilitation has emerged as a scalable approach to supporting onboarding and coordination in newly formed remote teams, yet existing systems are predominantly text-based. To explore how video-based, virtually embodied AI facilitators shape team experiences, we present TeamWise, which joins video-based onboarding meetings as an on-screen avatar. TeamWise guides teams through a structured facilitation flow of low-stakes activities to foster rapport, mutual awareness, and shared identity. While the overall sequence of activities and facilitation goals is predefined, the facilitator’s turn-by-turn utterances are generated dynamically by an LLM in response to participant input. We conducted a formative study of TeamWise to …

Autologger: A Multi-Agent Framework For The End-To-End Automated Logging, Renyi Zhong, Yintong Huo, Wenwei Gu, Yichen Li, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Software logging is critical for system observability, yet developers face a dual crisis of costly overlogging and risky underlogging. Existing automated logging tools often overlook the fundamental whether-to-log decision and struggle with the composite nature of logging. In this paper, we propose AutoLogger, a novel hybrid framework that addresses the complete the end-to-end logging pipeline. AutoLogger first employs a fine-tuned classifier, the Judger, to accurately determine if a method requires new logging statements. If logging is needed, a multi-agent system is activated. The system includes specialized agents: a Locator dedicated to determining where to log, and a Generator focused on …

Context Engineering For Ai Agents In Open-Source Software, Seyedmoein Mohsenimofidi, Matthias Galster, Christoph Treude, Sebastian Baltes

Research Collection School Of Computing and Information Systems

GenAI-based coding assistants have disrupted software development. The next generation of these tools is agent-based, operating with more autonomy and potentially without human oversight. Like human developers, AI agents require contextual information to develop solutions that are in line with the standards, policies, and workflows of the software projects they operate in. Vendors of popular agentic tools (e.g., Claude Code) recommend maintaining version-controlled Markdown files that describe aspects such as the project structure, code style, or building and testing. The content of these files is then automatically added to each prompt. Recently, AGENTS.md has emerged as a potential standard that …

Who Said Cve? How Vulnerability Identifiers Are Mentioned By Humans, Bots, And Agents In Pull Requests, Pien Rooijendijk, Christoph Treude, Mairieli Wessel

Research Collection School Of Computing and Information Systems

Vulnerability identifiers such as CVE, CWE, and GHSA are standardised references to known software security issues, yet their use in practice is not well understood. This paper compares vulnerability ID use in GitHub pull requests authored by autonomous agents, bots, and human developers. Using the AIDev pop dataset and an augmented set of pull requests from the same repositories, we analyse who mentions vulnerability identifiers and where they appear. Bots account for around 69.1% of all mentions, usually adding few identifiers in pull request descriptions, while human and agent mentions are rarer but span more locations. Qualitative analysis shows that …

Exploring Hemodynamic Signatures Using Event Camera, Zaid Ahmed

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis investigates event-based sensing for hemodynamic measurements in transmission mode through the human finger. Conventional frame-based imagers are limited by exposure time, frame rate, and motion blur, which reduce sensitivity to fast optical transients. To address these bottlenecks, this thesis introduces a novel transmission-mode sensing framework using a Prophesee EVK4 HD neuromorphic sensor. By capturing asynchronous ON/OFF events generated by local intensity changes, this work presents a new approach to three tasks: intra-finger pulse transit time (PTT) and pulse wave velocity (PWV) estimation, event-based transmission mode laser speckle contrast imaging (LSCI), and Flicker Spike Arrival Time (FSAT) Delay Mapping, …

The Impact Of Voluntary Tipping Vs. Mandatory Service Charges, Ainsley Gauthier

Undergraduate Honors Theses

This study examines the impact of voluntary tipping compared to mandatory service charges on consumer satisfaction. An analysis was conducted which contained data from restaurants based in the coastal region of southern California. The dataset utilizes a citizen-curated list compiled of restaurants that impose mandatory service charges alongside a list of restaurants. This second list is compiled of restaurants that offer comparable cuisine and pricing but contrasting tipping practices. Restaurants that impose mandatory service charges of 15% or 20% were compared to restaurants that use traditional voluntary tipping. This study uses Yelp star reviews to measure consumer satisfaction. The study …

Integration Of Vision-Language-Action Foundation Models For Adaptive Robotic Arm Control In Manufacturing, Nina C. Kanonye

Undergraduate Honors Theses

Industrial automation increasingly demands robots that can adapt to dynamic environments without extensive reprogramming. Traditional robotic systems perform well in structured, repetitive settings but struggle when workspace configurations change. Programming a robot for each new task requires specialized expertise and significant time, creating a barrier for small and medium manufacturers. While recent VLA models have demonstrated strong capabilities in robotics and artificial intelligence (AI) agents, existing research has rarely focused on the complex and sequential manufacturing tasks for robotic handling, printing, sorting and assembling. This research investigates whether CogACT can be fine-tuned to perform a pick-and-place task on the Yahboom …

Neural Progenitor Cell Proliferation In Response To A High-Fat Diet And Fgfr1 Inactivation, Alexandra Natalie Chistoserdov

Undergraduate Honors Theses

Tanycytes are radial glial-like astrocytes whose cell bodies line the third ventricle (3V) with long processes extending into the hypothalamic parenchyma. In adult mice, tanycytes retain stem cell properties, with their daughter cells integrating into the median eminence or mediobasal hypothalamus. Tanycytes are implicated in glucose homeostasis and appetitive behaviors not only via the maintenance of hypothalamic cell populations, but also by their glucose, fatty acid, and hormone-sensing capabilities. Fibroblast Growth Factor Receptor 1 (FGFR1) is a tyrosine kinase receptor expressed in neural progenitor cells, including tanycytes, where it induces cell proliferation and therefore plays an integral role in neural …

The School-To-Prison Pipeline: A Crisis In Education And Justice, Abbey A. Poirier

Undergraduate Honors Theses

This honors thesis analyzes how school discipline polices, teacher perspectives, and academic factors contribute to the school-to-prison pipeline (STPP) in three Southern Louisiana parishes. Informed by General Strain Theory and Social Control Theory, the study explores how punitive environments, weak teacher-student relationships, and unmet academic or emotional needs increase the probability that students, particularly marginalized groups, are pushed out of instructional space and toward exclusionary systems such as detention centers. This project is based on a mixed-methods design using a comprehensive literature review with a teacher questionnaire distributed across Pre-K-12 schools in Lafayette, Vermilion, and St. Martin Parishes. Quantitative findings …

Hepatitis C Virus Testing In Perinatally Exposed Children, Rachel L Epstein, Sarah Munroe, Elizabeth A Erdman, Amy Bettano, Megan R Curtis, Laura White, Elisha M Wachman, Anthony Osinski, Alexander Y Walley, Benjamin P Linas

2020-Current year OA Pubs

IMPORTANCE: Despite rising hepatitis C virus (HCV) incidence in pregnant people, studies demonstrate that fewer than 50% of perinatally exposed infants receive HCV testing. Few studies report treatment of infected infants or factors affecting testing.

OBJECTIVE: To identify birthing parent and child factors associated with appropriate HCV testing for perinatally exposed infants and characterize HCV care for children with HCV.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study included records on testing, care, and treatment for Massachusetts children perinatally exposed to HCV between 2014 and 2021 from a statewide health database linking statewide vital statistics, infectious disease surveillance data, substance use …

Exploring Nurses' Documentation Prioritization Strategies To Alleviate Ehr Documentation Burden: A Phenomenological Study, Rosemary Mugoya, Jennifer Thate, Fan Hao, Sarah C Rossetti, Po-Yin Yen

2020-Current year OA Pubs

OBJECTIVE: This study aims to understand how inpatient nurses determine and prioritize necessary documentation within the context of the Excessive Documentation Burden (ExDocBurden) in Electronic Health Records (EHRs).

METHODOLOGY: A phenomenological approach was used to explore inpatient nurses' lived experiences of prioritizing EHR documentation. Interpretive phenomenology guided the study design, focusing on how nurses prioritize documentation. Purposive sampling recruited 14 registered nurses (RNs) from acute and critical care settings. Data was collected through semi-structured interviews and analyzed using Colaizzi's 7-step and Smith's Interpretive Phenomenology Analysis.

RESULTS: Five themes emerged: (1) Advocating for Quality Patient Care Environment and Patient Needs, (2) …

Automating Evaluation Of Llm-Generated Responses To Patient Questions About Rare Diseases, Min Zhao, Inez Y Oh, Aditi Gupta, Sally Cohen-Cutler, Kathryn M Harmoney, Albert M Lai, Bryan A Sisk

2020-Current year OA Pubs

OBJECTIVES: Patients with rare diseases often struggle to find accurate medical information, and large language model (LLM)-based chatbots may help meet this need. However, evaluating LLM-generated free-text answers typically requires physician review, which is time-consuming and difficult to scale. This study compared traditional natural language processing (NLP) metrics to emerging LLM-based evaluation approaches for assessing answer quality in the context of Complex Lymphatic Anomalies (CLAs).

MATERIALS AND METHODS: We compiled 25 common patients' questions about CLAs and generated 175 responses to these questions from seven LLMs. Three expert physicians scored these responses for accuracy. We compared these physician-assigned scores with …

Iron Deficiency And Depressive Symptoms: Effects Of Racial And Ethnic Disparity In Two Reproductive-Aged Us Women, Alexis Monkhouse

USF Tampa Graduate Theses and Dissertations

Problem: Reproductive- aged women are one of the populations most at risk for iron deficiency and depression in the United States. While many studies have looked at the relationship between these two illnesses, none have explored it from a biocultural framework, examining how race/ethnicity affects this relationship. Using data from NHANES, this thesis examined the relationship between iron status (total body iron) and depressive symptoms (PHQ-9) among reproductive-aged women in the U.S. and how race/ethnicity affects it. Methods. NHANES survey data from 2005-2010 were pulled. Demographic and laboratory data were used to determine eligibility, total body iron, and depressive scores. …

Does Short-Termism Pay? National Short-Termism, Investment, Innovation, And Equity Returns, Andrew H. Cohen

Theses and Dissertations in Business Administration

We examine whether national short-termism, inferred from corporate language, predicts future real activity, equity returns, risk, and risk-adjusted performance. Using large-scale textual analysis of issuer-linked disclosures and earnings transcripts from the largest firms in twenty major equity markets, we construct country-quarter and annual Short-Termism Scores (STS) capturing the relative emphasis on short- versus long-horizon language.

Higher short-termism predicts lower subsequent gross fixed capital formation, lower research and development intensity, and lower multi-year equity index returns across horizons of up to sixteen quarters. In addition, higher short-termism is associated with greater future market volatility and lower Sharpe ratios, indicating a deterioration …

Is Tax “Law”?, Luís C. Calderón Gómez

Articles

Although taxation remains a hotly contested issue in debates by both politicians and political theorists—over the optimal size of government, distributive (and sometimes corrective) justice, or even the legitimacy of current private property arrangements—taxation has been largely ignored by legal theorists, to the detriment of both tax law and legal theory.  This Article argues that tax law, driven by its battle against tax evasion, is in deep conflict with widely accepted conceptions of “legality”—that is, the qualities that make a rule distinctively and normatively “law.”  This matters because legality is a key buttress in jurisprudential and political theory accounts that …

Law, Conflict, And Hybrid Warfare: A Teaching Imperative For A Changing World, Cynthia Alkon, Andrea K. Schneider

Articles

Lawyers increasingly find themselves at the frontlines of the battlefield, just not in the traditional sense. Hybrid warfare is a conflict form that combines traditional military offensive measures with nontraditional methods, including the harnessing of legal systems to achieve strategic goals. Lawyers have always been at the frontline of typical legal risk assessment, thinking about a client’s risk of liability or regulation costs generally. Now, lawyers must stand at the ready for a lot more: lawyers must be prepared for cyber-attacks, disinformation campaigns using artificial intelligence, the use of court systems to suppress reporting or shield bad actors, and so …

Exploring Stakeholder Awareness, Institutional Support, And Implementation Of Co-Design In Higher Education: Challenges And Ai Readiness, Shrikant W. Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the gap between the discussion of co-design in the theory and its application in the higher education practice is identified. By contrasting the level of knowledge that the stakeholders possess regarding co-design, the support that the institutions provide them, and their implementation of co-design in practice, it leaves a few general trends, attitudes, and problems.

Design/methodology/approach We were given a structured survey, which measured composite indices of awareness, institutional support, implementation and AI readiness. The study used non-probability purposive sampling technique since it will address the stakeholders who have firsthand experience in the participatory design …

Beyond A Protagonist Bias In Narrative Identity Research: Methods For Identifying Master Narratives In Interview Data, Andrew D. Coppens, Jayson Seaman, Cindy Hartman

Faculty Publications

This article advances a methodological shift in narrative identity research by addressing the field’s protagonist bias – the tendency to rely on first-person autobiographical accounts as the primary evidence for identifying cultural master narratives. We integrate Erikson’s psychosocial identity framework, Vygotsky’s “tool and result” methodological insight, and sociolinguistic approaches to narrative to develop a three-stage analytic logic: (1) identifying small-n narratives through scenes conveyed in discourse; (2) grouping these into Big-N narratives that cohere thematically across scenes (Tannen, 2007, 2008); and (3) assessing candidate master narratives using McLean and Syed’s (2016) five criteria. We demonstrate this approach through a case …

Mapping A World’S Fair: A Comparative Analysis Of Native American Experience At The Louisiana Purchase Exposition, Margaret Jones

Mendel Sato Research Award Projects

This brief attempt to look into a few historical moments has demonstrated how quickly and dramatically the possibilities open to Native American people in the St. Louis region have changed over time. In 1904, to be a Native person standing at the entrance to the 1904 World’s Fair could mean a number of things, perhaps simultaneously: you were a tourist, you were returning to land you had been Indigenous to, you were visiting a part of the country you had never seen before, or you were a Native person at the largest celebration of American colonialism ever organized. This thesis …

Comparing Mercury Accumulation And The Macroalgal Microbiome Between Coastal And Estuarine Populations Of Sea Lettuce (Ulva Spp.), Shelby Cora Penn

Capstone Projects and Master's Theses

Mercury is a potent neurotoxin that bioaccumulates and biomagnifies in marine environments. Most research on mercury cycling in the ocean focuses on pelagic food webs, leaving a gap in knowledge regarding macroalgal-based food webs. Seaweed from the genus Ulva is globally distributed in marine and brackish habitats, accumulating metals and toxins with minimal impact on the host. While the mechanisms behind Ulva's tolerance to marine pollution are unclear, studies suggest that the macroalgal microbiome may play a crucial role. This study investigates how collection location influences mercury uptake and bacterial community composition in Ulva. Estuarine and coastal Ulva were exposed …

Twitter, Tiktok, And Terrorism Torts: Using Product Liability To Hold Social Media Companies Accountable For Their Enablement Of Terrorism, Bailey Wilson

Vanderbilt Law Review

Social media platforms have become powerful tools for terrorist organizations, allowing them to recruit and radicalize actors who incite violence. Yet victims of terrorist attacks have been unsuccessful in holding these platforms legally accountable. The Antiterrorism Act imposes a demanding proximate-cause standard, and Section 230 of the Communications Decency Act broadly shields platforms from liability as publishers of third-party content. Together, these doctrines create a nearly impenetrable barrier for plaintiffs seeking redress from companies that profit while their algorithms amplify terrorist propaganda and promote violence. This Note argues that product liability offers a path forward. Courts have increasingly recognized digital …

Targeting Unfairness, Omolara Bewaji Joseney

Vanderbilt Law Review

Companies often engage in racially targeted marketing practices whereby they target and tailor their advertisements to racially segmented consumer populations. As a result, a targeted racial group of consumers may receive advertisements for a product or service that is intentionally customized to appeal to them (a “pull”) or may be specifically untargeted or excluded from receiving advertisements as members of a nontargeted racial group (a “push”). This Article examines the marketing environment created by these pull-push dynamics as a consumer protection concern. Legal scholarship on targeted advertising has focused either on its risks to privacy due to the growing reliance …

“You Can’T Post That!”: Constitutionality Of Non-Disparagement Orders Barring Divorced Parents’ Social Media Posts, Kaitlyn B. Hammond

Vanderbilt Law Review

When a marriage goes wrong, a court may use a non-disparagement order to prevent a party from speaking negatively about another in some way, either permanently or temporarily. Family courts often use non-disparagement orders to protect parties or their children from psychological harm during divorce or child-custody proceedings. In such cases, non-disparagement orders forbid parents from denigrating one another in front of their children and/or third parties. To protect the child, non-disparagement orders are often imposed upon both parents by the court. But courts do not always protect children and other parties from disparagement in this way. Although non-disparagement orders …

The Myth Of Credit Card Competition, Benjamin Dinovelli

Vanderbilt Law Review

You pay an invisible tax every time you swipe your credit card to pay—whether to buy groceries, grab a coffee, or access transportation. Credit card companies charge merchants to process your transaction, who in turn increase their own prices. These swipe fees are both extractive—higher than the cost of service and the fees in most other countries—and regressive—placing more of the cost burden on lower-income consumers and smaller merchants. Such outcomes are typically associated with firms having material market power. Yet, this market has competition: Consumers choose various cards offered by multiple card issuers, including banks and networks like American …

Uncovering Ethical Values In Information Systems Development Methodologies, Zahidah Zulkifli, Noor Hayani Abd Rahim, Tahmid Alam, Fakhrul Hazman Yusoff, Mohammad Masudur Rahman

Malaysian Journal of Computing (MJoC)

Information system development involves a lot of tools, infrastructures, and humans. The many phases in system development need humans to interact and work with each other to obtain the goal: to complete information system development. These interactions of humans require the right ethics to ensure that the information system development can be successful. For example, ethical leadership is a vital component in determining the success of any project related to information system development in organizations. The aim of this study is to identify the ethical values which are important in information system development methodology phases. This systematic literature review (SLR) …