Digital Commons Network^™

Lessons Learned From The Implementation Of A Pragmatic Trial Evaluating Non-Pharmacological Approaches To Dementia Care In Us Nursing Homes, Carin Wong, Catherine V. Piersol, Felicia Chew, Cara Lekovitch, Victoria Shier, Mike Morris, Jenny Martínez, Julie Britton, Natalie E. Leland

Department of Occupational Therapy Faculty Papers

RATIONALE: The consistent delivery of effective evidence into nursing home practice has been shown to enhance quality of care and residents' outcomes. Pragmatic trials enable the evaluation of efficacious interventions in a real-world context, including care of residents living with Alzheimer's Disease and Related Dementias (ADRD). Yet, there are limited pragmatic trials conducted in nursing homes and even less evidence on the strategies to successfully conduct such research in this setting.

OBJECTIVE: To identify the lessons learned from a pragmatic trial and provide recommendations for future successful studies in United States (US) nursing homes.

METHODS: Drawing on a case example …

From New Orleans To Orléans: How Perceived Connections Shape Destination Image, Hilmi A. Atadil, Helena F. Allman, Erol Pala, Qiulin Lu, Alison J. Green, Felicia N. Morgan

AMTP Proceedings 2026

Have you ever enjoyed a dish so much that it sparked an interest in experiencing the place where it was originally created? Culinary encounters may spark interest in distant destinations, but broader cultural, historical, and symbolic meanings often drive this interest through perceived connections. For example, exposure to French-influenced cuisine in New Orleans may draw individuals to France, driven not only by culinary authenticity but also by historical ties to Orléans. Grounded in social exchange theory, this study pursues two objectives: (1) to examine the underlying dimensions of perceived connections between destinations, and (2) to assess how these dimensions influence …

Influencer Effect? An Examination Of Dunkin’ And Tarte’S Use Of Influencers, Amanda D. Damiano Ph.D., Wenjing Xie Ph.D.

AMTP Proceedings 2026

The purpose of this project was to understand public perceptions of brands using influencers. The brands Dunkin’ and Tarte Cosmetics served as case studies for this study. A mixed-methods approach was undertaken. Specifically, social media listening in the form of a content analysis was conducted. That was then followed by an online survey of students from a medium-sized university in the northeast. A number of factors were measured related to participants’ stated brand and influencer effectiveness on social media in general, as well as specific to Dunkin’ and Tarte. Additionally, participant demographic factors were measured in accordance with their stated …

Assessing The Impact Of Alumni Relations: Using The Theory Of Planned Behavior To Understand Fsu Students Motivation To Engage, Eldaneka Rolle, Richard Waters Phd, Ciara A. Lewis

AMTP Proceedings 2026

This study aimed to understand Florida State University graduate and upper-division undergraduate students in the College of Communication and Information, attitudes and perception of connection through the specific behavior, engagement with alumni relations. If individuals perceive a connection, is there perceived behavioral control (PBC), does PBC influence their intent to remain connected through one of the four key components, experience, communication, volunteer and philanthropy. Five focus group discussions were conducted using semi-structured interviews. Through thematic analysis, eight common themes were developed, Major, Minor or Certification Interest, Program Experience, Faculty, Advisors and Staff, Event Participation, Communication Preference, Volunteer Opportunities, Small Contributions …

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 …

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

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. …

Dragging With Geometry: From Pixels To Geometry-Guided Image Editing, Xinyu Pu, Hongsong Wang, Jie Gui, Pan Zhou

Research Collection School Of Computing and Information Systems

Interactive point-based image editing serves as a controllable editor, enabling precise and flexible manipulation of image content. However, most drag-based methods operate primarily on the 2D pixel plane with limited use of 3D cues. As a result, they often produce imprecise and inconsistent edits, particularly in geometry-intensive scenarios such as rotations and perspective transformations. To address these limitations, we propose a novel geometry-guided drag-based image editing method—GeoDrag, which addresses three key challenges: 1) incorporating 3D geometric cues into pixel-level editing, 2) mitigating discontinuities caused by geometry-only guidance, and 3) resolving conflicts arising from multi-point dragging. Built upon a unified displacement …

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 …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

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 …

Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider estimation and inferences for general spatial panel data models with randomly missing observations on responses. It allows for unobserved spatiotemporal heterogeneity, time-varying endogenous and contextual spatial interactions, time-varying cross-sectional error dependence, and serial correlation. A general M-estimation method is proposed for model estimation and a novel corrected plug-in method is proposed for model inference. Both take into account the estimation of fixed effects. Asymptotic properties of the proposed methods are studied, and finite sample properties are investigated. An empirical application is given using U.S. state tax competition data. The proposed methods apply to matrix exponential spatial specification and …

Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider spatial panel data models with genuine unbalancedness arising from the non-presence of some spatial units in certain time periods. General M-estimation methods are proposed for model estimation, which take into account the estimation of the incidental fixed effects parameters and allow for spatiotemporal heteroskedasticity and high-order time-varying spatial effects. Corrected plug-in methods are proposed for standard error estimation. The proposed estimation and inference methods are rigorously studied for their asymptotic properties and finite sample performance. An application to China’s provincial FDI inflows shows that properly accounting for genuine unbalancedness uncovers significant positive spatial spillovers that are masked when …

Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong

Research Collection Yong Pung How School Of Law

This case comment examines how Abdul Ghufran bin Abdul Wahid v Public Prosecutor [2025] 3 SLR 1572 brings clarity to Singapore’s “fitness to plead” regime by structuring the nominal imprisonment period (“NIP”) as a principled, non-punitive ceiling on confinement for unfit accused persons. It explains the General Division of the High Court’s four-step framework, the elevation of prevention over rehabilitation at the NIP stage, and the constrained role of mental disorders in adjusting the provisional term. It further highlights the decisive influence of psychiatric evidence and explores how the framework mediates between consistency, individualised justice, and public protection.

Online Safety (Relief And Accountability) Bill: Further Experiments In Balancing Rights And Responsibilities, Siyuan Chen, Zavier Yu Wu, Jie Ting Lee

Research Collection Yong Pung How School Of Law

Singapore’s latest legislation to address online harms, the Online Safety (Relief and Accountability) Bill, was passed in Parliament in November 2025. The legislation, which takes a complainant-centric approach, provides the Commissioner of Online Safety a broad range of powers so that timely redress can be given for reports of online harms such as image abuse, sexual harassment, doxxing, and stalking. Various torts that impose duties on administrators and platforms have also been created. Legislation of this nature invariably raises issues about whether an appropriate balance between freedom and responsibility has been struck. This Legislative Comment analyses some of the more …

Negotiating At A Distance: The Impact Of Communication Media And Negotiator Traits, Dorcas Quek Anderson, Tra My Ngo

Research Collection Yong Pung How School Of Law

Purpose – Prior research has yet to provide a coherent theoretical framework explaining how communication media hinder or advance negotiation success, and many dated studies are unlikely to be relevant. This study aims to examine the impact of four communication media on negotiation outcomes. It also examines the potential moderating effects of the following negotiator characteristics: conflict management style, personality traits and indirect communication style.Design/methodology/approach – A total of 400 participants formed 200 dyads to negotiate a mixed- motive relational conflict through face-to-face (FTF) interaction, videoconferencing, audio call or synchronous text messaging. Linear mixed regression was used to assess the …

Commentary: If You’Re Unhappy At Work, A Hasty Job Change May Not Help, Nick Chiam

Research Collection Yong Pung How School Of Law

Finding joy at work isn’t about having the perfect job, but seeing work as part of the larger story of a life well lived, says SMU lecturer Nick Chiam.

Intelligent Deep Learning-Based Sign Language Translation System, Nada Rasem Shahin

Dissertations

The Deaf and Hard of Hearing (DHH) community uses sign language as a primary means of communication. However, the shortage of sign language interpreters and the existence of hundreds of sign languages limit accessibility and inclusion. Sign Language Machine Translation (SLMT) systems present a promising solution for bridging the communication gap between the DHH and the hearing individuals, supporting inclusive societies. In smart cities, such systems play an essential role in improving the quality of life on a community level. In particular, as the population’s well-being is critical, developing intelligent assistive technologies, such as SLMT systems, is necessary to provide …

Trustgen: A Platform Of Dynamic Benchmarking On The Trustworthiness Of Generative Foundation Models, Yue Huang, Et. Al

Research Collection School Of Computing and Information Systems

Generative foundation models (GenFMs), such as large language models and text-to-image systems, have demonstrated remarkable capabilities in various downstream applications. As they are increasingly deployed in high-stakes applications, assessing their trustworthiness has become both a critical necessity and a substantial challenge. Existing evaluation efforts are fragmented, rapidly outdated, and often lack extensibility across modalities. This raises a fundamental question: how can we systematically, reliably, and continuously assess the trustworthiness of rapidly advancing GenFMs across diverse modalities and use cases? To address these gaps, we introduce TrustGen, a dynamic and modular benchmarking system designed to systematically evaluate the trustworthiness of GenFMs …

Reimagining Instructional Planning: Balancing Real-Life Experiences With Ai Instantaneity, Shaanii-Grace Robinson-Ritzdorf

Essays in Education

Instructional planning challenges teachers to balance creativity, time, and application of real-life experiences. Artificial intelligence (AI) offers rapid lesson ideas, personalized resources, and adaptive tools, yet uncritical use risks generic, disengaging instruction. This essay was based on the background study that examined elementary teachers’ integration of real-life experiences in science and math lessons in northwestern New Mexico through lesson plans, professional development materials, and interviews. Results revealed teacher-centered, procedural approaches with limited connection to students’ lived experiences, while personally designed lessons allowed greater flexibility for meaningful examples. Thoughtfully guided AI can bridge this gap, supporting scenario-based learning, differentiation, and student …

Tribal Sovereignty In The 21st Century: The Divergence Of The Founder’S Vision To Embracing Tribal Exclusivity, Travis Younce

Helms School of Government Spring Public Policy Conference

No abstract provided.

Beyond Community Policing: Integrating Stability Policing Models As A Framework In Addressing Conflicts, Instability And Emerging Extremism In Northern Ghana, Peter Joilah Lambon

Helms School of Government Spring Public Policy Conference

No abstract provided.

The Trap Of A Multipolar World – Brics Using Reflexive Control To Lure Usa And Europe Into Liberal Self-Defeating Assumptions, Boyan N. Mitrakiev Mr.

Helms School of Government Spring Public Policy Conference

No abstract provided.

Energy, Sovereignty And Geopolitics: The New Italy–United States Energy Alliance In The Context Of European Energy Security, Vincenzo Germinario

Helms School of Government Spring Public Policy Conference

No abstract provided.

Empowering Educators With Generative Ai In Higher Education: Design Patterns For Visible Learning, Jeanne Charles

Essays in Education

A student submits a paper that reads smooth and confident. With generative AI, that polish no longer proves learning. Higher education now needs course designs that keep student thinking visible and assessable.

This literature review synthesizes 39 empirical studies (2024 through early 2026) on generative AI in higher education. It treats 22 learner-facing classroom studies as design cases and codes task type, permitted AI use, instructor guardrails, and measured outcomes. It uses the remaining studies to situate adoption, policy, and academic integrity risks.

Across the evidence, outcomes follow the design more than the tool. AI supports learning when it expands …

Therepairer_Vol29no7_July1924

The Repairer

No abstract provided.