Digital Commons Network^™

Male Victims, Experiences With Seeking Help From Domestic Violence Agencies Over Time And Across Western English-Speaking Countries, Denise A. Hines, Alexandra Lysova, Emily M. Douglas

Department of Social Work and Child Advocacy Faculty Scholarship and Creative Works

Background: Male victims of intimate partner violence (IPV) represent a substantial but overlooked portion of IPV victims. Access to domestic violence (DV) services remains a challenge, particularly when agencies primarily serve female victims. This study examines male IPV victims’ experiences with mainstream and specialized DV agencies across four English-speaking regions: the United States, Canada, the United Kingdom/Ireland, and Australia/New Zealand. Methods: Two samples of male IPV victims from Western English-speaking countries/regions were recruited: one consisting of self-identified male IPV victims (n = 594) and the other of male IPV victims from crowdsourcing sample (n = 1380). Participants completed an anonymous …

Foodlmm: A Versatile Food Assistant Using Large Multi-Modal Model, Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory. This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, ingredient recognition, recipe generation, nutrition estimation, food segmentation and multi-round conversation. To facilitate FoodLMM to deal with tasks beyond pure text output, we introduce a series of novel task-specific tokens and heads, enabling the model to predict food nutritional values and multiple segmentation masks. We adopt a two-stage training strategy. In the first stage, we utilize multiple …

Sanitizable Cross-Domain Access Control With Policy-Driven Dynamic Authorization, Jianfei Sun, Guowen Xu, Hongwei Li, Tianwei Zhang, Cong Wu, Xuehuan Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The increasing demand for secure and efficient data sharing has underscored the importance of developing robust cryptographic schemes. However, many existing endeavors have overlooked the following critical issues: (1) unauthorized access resulting from malicious information leakage by senders; (2) absence of constraints on write and read permissions for participants; (3) and inflexibility of strategies to dynamically designate ciphertexts to multiple recipients. In this paper, we present SCPA, a cross-domain access control scheme imbued with sanitization features and propelled by policy-driven dynamic authorization, tailored for cloud-based data sharing. This scheme not only facilitates access controls, including regulations for no-read and no-write …

Understanding The Bad Development Practices Of Android Custom Permissions In The Wild, Xiaohan Zhang, Zhiyuan Yu, Xinghua Li, Cen Zhang, Cong Sun, Ning Zhang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Android system provides application developers with the ability to define custom permissions, which serve to moderate the sharing of resources and interactions with other applications. However, poor development practices of developers can render the permission mechanism ineffective, weakening the system protection. This paper presents a comprehensive examination of the problematic practices surrounding custom permissions employed by developers, referred to as Bad Practices of Custom Permissions (BPCP issues). To accomplish this, we conducted an empirical study and identified nine common BPCP issue patterns that can lead to various adverse consequences, such as installation failures, crashes, or even component hijacking. To automatically …

Misinformation Regulations: Early Evidence On Corporate Social Media Strategy, Richard M. Crowley, Yun Lou, Samuel T. Tan, Liandong Zhang

Research Collection School Of Accountancy

Against the backdrop of an increasing threat of misinformation on social media, several countries have enacted regulations to curb the spread of misinformation. This study examines how corporate social media strategy responds to misinformation regulations. Using a large cross-country dataset of corporate tweets and a stacked regression analysis, we show that misinformation regulations lead to less corporate social media disclosure. This result suggests that by deterring misinformation, these regulations reduce firms’ need to use social media to counteract its adverse effects. Additional analyses show that the effect is more pronounced among countries with higher social media usage and countries with …

Economic Consequences Of Public Pension Accounting Regulation Changes: Evidence From Housing Markets And Local Economies, Grace Haoqing Fan

Research Collection School Of Accountancy

I examine whether, and through which channels, government pension accounting regulations affect local housing markets and economies. Using both a contiguous border-county approach across multiple states and a single-state study in California, I find that regions exposed to more severe state-level pension underfunding experience lower housing market growth after the introduction of Government Accounting Standards Board (GASB) regulations 67 and 68, which significantly enhance the transparency of public pension underfunding. The effect is more pronounced in states heavily impacted by the new regulations and in counties more reliant on state funding. Further analyses suggest that the observed effect is driven …

The B2biers System: A Content-Based Perspective On Maximizing Influence And Subscription In Social Networks, Konstantinos Theocharidis, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

The popular problem of Influence Maximization (IM) asks for the k users who can maximize the influence of a fixed post in a social network. In contrast, the problem of Content- Aware Influence Maximization (CAIM) asks for the k features to form a viral tunable post in a social network starting its diffusion from a fixed set of initial adopters. CAIM paves the way for a number of novel problems to be studied that altogether can lead to the development of a system that would be valuable for advertisers who manage social network pages. This holds since features (brands) in …

Prompttutor: Effects Of An Llm-Based Chatbot On Learning Outcomes And Motivation In Flipped Classrooms, Yuhao Zhang, Eng Lieh Ouh, Chong Jee Adam Ho, Siaw Ling Lo, Kar Way Tan, Feng Lin

Research Collection School Of Computing and Information Systems

This study explores the integration of a Large Language Model (LLM) based chatbot, PromptTutor, into flipped classrooms (FC) for undergraduate Computer Science (CS) education. PromptTutor is designed to provide personalized, immediate feedback to support student learning in FC by incorporating reflective learning and scaffolding strategies. The traditional FC typically lacks this immediate feedback during the pre-class learning phase, risking decreased student motivation according to existing literature. This study examines if students improve in learning outcomes and motivation after using PromptTutor. Through a controlled crossover experiment with 50 students, the study demonstrates statistically significant improvements in students' quiz performance and motivation …

Unified Neural Backdoor Removal With Only Few Clean Samples Through Unlearning And Relearning, Nay Myat Min, Long H. Pham, Jun Sun

Research Collection School Of Computing and Information Systems

Deep neural networks have achieved remarkable success across various applications; however, their vulnerability to backdoor attacks poses severe security risks—especially in situations where only a limited set of clean samples is available for defense. In this work, we address this critical challenge by proposing ULRL (UnLearn and ReLearn for backdoor removal), a novel two-phase approach for comprehensive backdoor removal. Our method first employs an unlearning phase, in which the network’s loss is intentionally maximized on a small clean dataset to expose neurons that are excessively sensitive to backdoor triggers. Subsequently, in the relearning phase, these suspicious neurons are recalibrated using …

Efficient Prompt Tuning For Hierarchical Ingredient Recognition, Yinxuan Gui, Bin Zhu, Jingjing Chen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Fine-grained ingredient recognition presents a significant challenge due to the diverse appearances of ingredients, resulting from different cutting and cooking methods. While existing approaches have shown promising results, they still require extensive training costs and focus solely on fine-grained ingredient recognition. In this paper, we address these limitations by introducing an efficient prompt-tuning framework that adapts pretrained visual-language models (VLMs), such as CLIP, to the ingredient recognition task without requiring full model finetuning. Additionally, we introduce three-level ingredient hierarchies to enhance both training performance and evaluation robustness. Specifically, we propose a hierarchical ingredient recognition task, designed to evaluate model performance …

Unveiling Knowledge Boundary Of Large Language Models For Trustworthy Information Access, Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have emerged as powerful tools for generating content and facilitating information seeking across diverse domains. While their integration into conversational systems opens new avenues for interactive information-seeking experiences, their effectiveness is constrained by their knowledge boundaries—the limits of what they know and their ability to provide reliable, truthful, and contextually appropriate information. Understanding these boundaries is essential for maximizing the utility of LLMs for real-time information seeking while ensuring their reliability and trustworthiness. In this tutorial, we will explore the taxonomy of knowledge boundary in LLMs, addressing their handling of uncertainty, response calibration, and mitigation of …

Collaboration With Dynamic Open Ad Hoc Team Via Team State Modelling, Jing Sun, Cong Zhang, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Open ad hoc teamwork presents the challenging problem of designing an autonomous agent that can rapidly adapt to collaborate with teammates without prior coordination in an open environment. Existing methods primarily rely on fixed, predefined teammate types, overlooking the fact that teammates may change dynamically. To address this limitation, we propose a novel reinforcement learning approach, the Open Online Teammate Adaptation Framework (Open-OTAF), which enables a controlled agent to collaborate with dynamic teammates in open ad hoc environments. To achieve this, the controlled agent employs a dual teamwork situation inference model to capture the current teamwork state, facilitating decision-making under …

The Relationships Between Higher Education Institutions And High School Sports Associations: Maximizing Symbiotic Relationships For Teaching Sports Communication, Joseph R. Blaney Ph.D., Livvi Anderson, Evan R. Craig

Faculty Publications - Communications

In this exploratory study of High School Sports Associations (HSSAs) and theirrelationships with sports communication programs at Higher Education Institutions (HEIs), investigators discovered that the associations very broadly see the benefit of establishing mutually beneficial relationships. In its most helpful form, the relationships create Experiential Learning (EL) opportunities which give college students an advantage in a competitive industry while simultaneously helping associations staC the myriad and growing programming events and content platforms. The varying roles available to students, the process behind developing the relationships, and the barriers to creating such relationships are also explored.

Evaluation Of Waste Plastic Addition Via Dry Method On Asphalt Mixture Performance, Isabella Madeira Bueno

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Incorporating waste plastic (WP) into hot mix asphalt (HMA) offers a promising approach to enhance recycling rates and improve asphalt concrete (AC) performance, particularly in moisture damage resistance. However, results vary widely due to differences in WP types, sizes, and mixing methods. The lack of standardized procedures, especially for the dry process, has led to inconsistent integration and unclear roles of WP in AC mixtures. Studies suggest that introducing WP to pre-heated aggregates at temperatures exceeding its melting point can enhance mixture resistance to rutting, cracking, and moisture damage. In this context, this study was conducted in two phases to …

Data-Driven Methods For Signal Analysis And Nonlinear System Identification, Cristian Felipe López Ruano

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

In recent years, data-driven modeling has gained considerable attention in nonlinear system identification, offering a powerful alternative to traditional physics-based methods. This has been possible by advances in machine learning, sparse regression, and differential equations in a weak form, which allow the accurate capture of complex nonlinear dynamics, even when the measurements are in strong background noise. Moreover, integrating these models with physical knowledge further enhances their reliability and interpretability, making them suitable for a wide range of science and engineering applications.

In this dissertation, we investigate algorithms for data-driven nonlinear system identification to obtain ordinary differential equations that govern …

The Expungement Process: Survey Evidence On Applicant Experiences, Mira Edmonds, J.J. Prescott, Sonja Starr, German Marquez Alcala

Articles

Tens of millions of Americans with publicly accessible criminal convictions face significant collateral consequences that affect their employment, housing, and family life, which not only harm these individuals but also limit society’s access to their skills, productivity, and participation. In response, policymakers have enlarged the scope and enhanced the accessibility of criminal-record expungement laws. Little is known, however, about how individuals perceive, navigate, and take advantage of these new, broader laws. This Article presents findings from a large-scale survey of 1,439 expungement applicants and recipients in Detroit, conducted in partnership with Project Clean Slate (PCS), a city initiative assisting residents …

Proceedings Of The 2025 Nassi Annual Meeting, Patrick C. Hsieh, Chiung-Chyi Shen, Alan S. Hilibrand, D. Scott Kreine, David R. O’Brien Jr., Hani H. Mhaidli, Jau-Ching Wu, Wen-Cheng Huang

Department of Orthopaedic Surgery Faculty Papers

No abstract provided.

Action Research To Explore The Use Of Augmented Reality To Support High School Students In Understanding And Creating Art Work In A Drawing Course, Alicia Joanne Cobler

Theses and Dissertations

High school students in Drawing 1 at a high school in South Carolina struggle to understand meaning or make personal connections to their own artwork. The purpose of this action research was to evaluate the implementation of immersive reality technology, specifically augmented reality (AR), in art for high school Drawing 1 students to help them understand meaning in art and create their own meaningful artwork. Creating personally meaningful symbolic works of art is one of the first Visual Art National Core Standards (National Core Visual Art Standards, 2014). Creating meaning in artwork allows students to understand society, provide an opportunity …

William Hogarth's Portraiture: A Vehicle For Social Commentary, Kaitlyn Elizabeth Hoff

Theses and Dissertations

William Hogarth is often celebrated for the critiques of eighteenth-century England seen throughout his widely reproduced satirical print series and paintings, however his contributions to portraiture offer a compelling extension of his artistic vision and techniques. This research aims to explore Hogarth’s use of portraiture as a vehicle for social commentary and moral messaging, revealing broader themes of morality, nationalism, and identity among all of his works, comparing this approach to that of both his contemporaries and his own prints.

In examining Hogarth’s portraits alongside other formal portraiture, the socio-political landscape of the time, and existing scholarship, methods such as …

Two Cheers For The Revolving Door, Stephen Calkins, Erica Straus

Law Faculty Research Publications

Where do top US government antitrust lawyers come from – and go to? The so-called “revolving door” has long been a familiar part of the process. In recent years and especially during the Biden Administration, this custom has attracted increased attention and concern. What are the facts? This chapter sets out, in detailed tables, the background and subsequent employment of top government antitrust lawyers. Many enforcers came from major law firms (FTC commissioners much less frequently than others) and leave for major law firms. (Although studied in less detail, top state antitrust enforcers are starting to transition to major law …

To Insure Domestic Tranquility And Provide For The Common Defence: The Preamble’S Concern With Internal And External Threats, Stuart Ford

UC Law Constitutional Quarterly

No abstract provided.

2025-2026 Global Feedback Report: Uni Scholarworks, University Of Northern Iowa, Rod Library

Library Documents & Reports (entire collection)

This library report was prepared by the Digital Scholarship Librarian at the University of Northern Iowa as part of assessment efforts demonstrating the reach and impact of departments and programs at the University of Northern Iowa. The global input is related to specific works found in UNI's institutional repository, UNI ScholarWorks (http://www.scholarworks.uni.edu.)

Understanding Retention Barriers Contributing To Nursing Shortages: A Mixed-Methods Approach To Workforce Sustainability, Vena X. Addison

MSHS Student Capstones

The healthcare system faces a critical challenge as nursing shortages intensify, driven by factors such as an aging workforce, increased patient complexity, and insufficient organizational support. This study explores the multifaceted impact of these shortages on patient safety, care quality, and nurse well-being. Through mixed-methods analysis, it investigates how inadequate staffing ratios, lack of clinical training and resources, limited leadership support for work-life balance, and limited career advancement opportunities contribute to elevated stress, burnout, and attrition. The research highlights interventions, including mentorship, flexible staffing models, and professional development models, to address retention and sustain workforce capacity. Findings underscore the urgency …

Reducing Disparities In Breast Cancer Screening: A Mobile Mammography Initiative In Middle Georgia, Latasha T. Hill

MSHS Student Capstones

This capstone project evaluated the implementation of mobile mammography units to improve access to breast cancer screening in Middle Georgia. The project aimed to reduce disparities in early detection and increase screening participation among underserved women aged 40 and older. Using the Health Belief Model as a theoretical framework, the initiative deployed a state-of-the-art mobile mammography unit, engaged community stakeholders, and implemented culturally responsive outreach. Over 6 months, 1,000 screenings were conducted, exceeding targets and demonstrating significant improvements in first-time screening rates, patient satisfaction, and follow-up adherence. Findings suggest mobile mammography is an effective quality improvement strategy to advance health …

Radiography Clinical Instructor Training Program, Kayce S. Leon

MSHS Student Capstones

This capstone project focuses on the development and implementation of a comprehensive training program for clinical instructors (CIs) in radiography, designed to support technologists transitioning from clinical practice into educator roles. The program addresses a critical need for structured professional development in allied health education, where many instructors begin teaching with limited pedagogical training. Grounded in adult learning theories such as Knowles’ andragogy and Kolb’s experiential learning theory, the curriculum emphasizes learner-centered strategies, real-world application, and reflective practice. Core topics include effective student feedback, clinical evaluation, communication, and professional role modeling. The training aims to enhance instructional competence, promote student …

Optimizing Oncology Urgent Care Services For Improved Outcomes And Reducing Hospitalizations, Jaime C. Champion

MSHS Student Capstones

The complexity of treating patients with cancer is becoming an increasingly important priority for healthcare providers due to the risk associated with complications. Cancer patients may frequently visit an emergency department and put themselves at risk of acquiring other illnesses due to having an immunocompromised system. Unfortunately, emergency departments lack the resources and knowledge to care for patients who are undergoing cancer treatments, which can result in fragmentation of care. Consequently, Oncology Urgent Care clinics are becoming more prevalent in many health systems to bridge the gap between outpatient care and emergency room care. Using a mixed-methods approach, this study …

Bridging Practice And Pedagogy: A Simulation-Based Orientation Framework For Healthcare Educators, Heather Hodges

MSHS Student Capstones

As healthcare education continues to advance, the incorporation of simulation-based learning has become a cornerstone of effective teaching strategies. This literature review explores the development of an orientation framework designed specifically for healthcare educators who have transitioned from clinical practitioners and preceptors into formal teaching roles. These individuals often possess extensive hands-on experience but may lack structured pedagogical training, particularly in the use of simulation as a teaching modality. The review combines current research on best practices for simulation integration, adult learning theory, and faculty development to identify the most effective methods for onboarding new educators. Emphasis is placed on …

Revitalizing Post-Primary Mammography Education: A Quality Improvement And Outreach Initiative, Erica M. Smith

MSHS Student Capstones

This educational quality improvement project aimed to address declining enrollment in a post-primary mammography certification program and to respond to the growing shortage of certified mammography technologists. A needs assessment survey identified key student preferences, including hybrid course formats, weekday scheduling, and social media as the most effective marketing channel. In response, targeted outreach campaigns were launched, curriculum content was updated, and clinical partnerships were expanded to support enrollment and placement. As a result, the program met the minimum enrollment threshold for the first time since 2021, with five students completing the course. Post-course evaluations indicated high levels of satisfaction …

Enhancing Emr Training Through Programmatic Assessment: Aligning Curriculum With Organizational Needs, Amanda Coleman

MSHS Student Capstones

No abstract provided.

Field Responses Of Glossina Pallidipes And Glossina Fuscipes Fuscipes Tsetse Flies To Novel Repellent Blend And Waterbuck Repellent Compounds In Kenya, Benson M. Wachira, Richard Echodu, Johnson O. Ouma, Imna I. Malele, Daniel Gamba, Michael Okal, Kennedy O. Ogolla, Clement Mangwiro, Robert Opiro, Deusdedit J. Malulu, Bernard Ochieng, Raymond E. Mdachi, Paul O. Mireji

All Peer-Reviewed Publications

Control of tsetse flies constitutes a cornerstone of trypanosomiasis control and elimination efforts in Africa. The use of eco-friendly odor-based bait technologies has been identified as a safer method for control of tsetse flies. These technologies are significantly augmented by development of effective repellents that reduce contact between trypanosome-infected tsetse flies and their vertebrate hosts. Waterbuck Repellent Compounds (WRC) and Novel Repellent Blend (NRB) are recently developed tsetse fly repellent formulations. Information on relative efficacy of these formulations against major tsetse fly vectors of trypanosomiasis in Kenya is limited. Such information can inform choices of repellent technology for optimal control …