Digital Commons Network^™

How To Save The Take-Home Essay With Oral Assessments, Matthew Hammerton, Jacqueline Ho

Research Collection School of Social Sciences

In a commentary, the authors opined that pairing take-home essays with oral assessments is a more effective response to AI than policing its use. Students who cannot adequately explain their work can be marked down, reducing incentives to rely on AI. They noted that oral exams help preserve key elements of university education – intellectual effort, ownership, and human relationships – while allowing take-home essays to remain relevant in an AI-driven landscape that demands greater emphasis on understanding, responsibility, and dialogue.

Daily Problematic Smartphone Use Predicts Decreases In Self-Control Capacity: Evidence From Random-Intercept Cross-Lagged Panel Model, Adalia Yin Hui Goh, Andree Hartanto

Research Collection School of Social Sciences

Amidst the widespread increase in global smartphone screen time and the phenomenon of ‘The Great Exhaustion’, where multiple surveys indicate pervasive tiredness and feelings of being drained, there is growing concern about the link between problematic smartphone use and the capacity for self-control. While numerous studies have investigated the relationship between problematic smartphone use and self-control capacity, they are mostly cross-sectional. Thus, it is unclear whether the lack of capacity for self-control is an antecedent or consequence of problematic smartphone use. Addressing the research gap, we conducted a 7-day diary study to investigate the bidirectional relationship between problematic smartphone use …

Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang

Research Collection School Of Computing and Information Systems

Context: Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript (JS) engines with considerable success, these efforts have been limited to using ordinary test cases or publicly available vulnerability PoCs (Proof of Concepts) as seeds, and the sustainability of these approaches is hindered by the challenges associated with automating the PoC collection. Objective: To address these limitations, we propose an end-to-end sustainable approach for JS engine patch fuzzing, named PatchFuzz. Method: It automates the collection of PoCs of a broader range of …

Hydpn: A Hybrid Deep Reinforcement Learning, Programming, And Neighborhood Operations Framework For Integrated Scheduling On Parallel Batch Processing Machines, Yuqi Wang, He Luo, Guoqiang Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Batch processing machines (BPMs) are widely used in industries such as semiconductors, metal processing, and healthcare, where jobs are processed in batches. As production, inventory, and distribution become increasingly integrated to improve efficiency, research on their joint scheduling in parallel BPM environments remains scarce. This paper addresses the integrated scheduling problem in parallel BPMs, involving production, inventory, and distribution stages, with the objective of minimizing total costs. A unified cost-based model is first formulated, applicable to both in-facility and external distribution scenarios. A hybrid algorithm framework, HyDPN, combining deep reinforcement learning, dynamic programming, and neighborhood operations is proposed. Extensive experiments …

Extensive And Intensive Margin Labor Supply On Ride-Sourcing Platforms, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

The rapid expansion of ride-sourcing platforms has enabled freelance drivers to flexibly determine both their participation and working hours. Understanding this flexible labor supply behavior is essential for managing platform capacity and evaluating the impacts of pricing and incentive policies on driver welfare. This study develops a labor supply model in which drivers optimally choose whether to participate (extensive margin) and how long to work (intensive margin) to maximize their utility from consumption and leisure. The model incorporates heterogeneity in drivers’ other income, idle time, and participation costs, allowing us to analytically characterize equilibrium labor supply decisions. The results show …

When Politics Meets Digital Assets: Gender Identity Salience And Nft Pricing After Roe V. Wade, Xiang Liu, Yao Zhao, Ping Fan Ke

Research Collection School Of Computing and Information Systems

Major sociopolitical events can reshape public attention toward identity-related issues, potentially influencing valuation patterns in digital markets where identity-related characteristics are embedded in digital assets. Using the overturning of Roe v. Wade as an exogenous policy shock, this paper examines how gender attributes represented in non-fungible token (NFT) avatars affect market outcomes. Using transaction data from six major avatar-based NFT collections traded on Etherscan in 2022, we apply a quasi-experimental design combining propensity score matching and a difference-in-differences model. The results indicate that the policy shock significantly increased the resale prices of NFTs representing female avatars. These findings suggest that …

On-The-Fly Generation-Quality Enhancement Of Deep Code Models Via Model Collaboration, Weifeng Sun, Naiqi Huang, Meng Yan, Zhongxin Liu, Hongyan Li, Yan Lei, David Lo

Research Collection School Of Computing and Information Systems

The growing prominence of deep code models in automating software engineering tasks is undeniable. However, their deployment encounters significant challenges in on-the-fly performance enhancement, which refers to dynamically improving the performance of deep code models during real-time execution. Conventional techniques, such as retraining or fine-tuning, are effective in controlled pre-deployment scenarios but fall short when adapting to on-the-fly adjustments post-deployment. CodeDenoise, a notable on-the-fly performance enhancement technology, leverages uncertainty-based methods to identify misclassified inputs and applies an input modification strategy to rectify classification errors. While effective for classification tasks, this approach is inapplicable to generative tasks due to two key …

Videocreator: An Agentic System For Multi-Turn Video Production, Zhengyang Liang, Yan Shu, Cathal Gurrin, Nicu Sebe, Lizi Liao

Research Collection School Of Computing and Information Systems

Recent advances in video generation models enable visually compelling single clips. However, real-world video creation is inherently continuous and iterative: creators refine content over multiple rounds while maintaining narrative, style, and entity consistency. Existing standalone generators are largely stateless and lack memory of previously generated segments, making it difficult to produce a coherent and consistent video project. To address this gap, we present VideoCreator, a unified video agent that integrates generation and understanding with a project-level memory system. VideoCreator leverages understanding capabilities to perform fine-grained analysis of newly produced content and uses persistent memory to retain and reuse prior context …

Sam3-Litetext: An Anatomical Study Of The Sam3 Text Encoder For Efficient Vision-Language Segmentation, Chengxi Zeng, Yuxuan Jiang, Ge Gao, Shuai Wang, Duolikun Danier, Bin Zhu, Stevan Rudinac, David Bull, Fan Zhang

Research Collection School Of Computing and Information Systems

Vision-language segmentation models such as SAM3 enable flexible, prompt-driven visual grounding, but inherit large, general-purpose text encoders originally designed for open-ended language understanding. In practice, segmentation prompts are short, structured, and semantically constrained, leading to substantial over-provisioning in text encoder capacity and persistent computational and memory overhead. In this paper, we perform a large-scale anatomical analysis of text prompting in vision–language segmentation, covering 404,796 real prompts across multiple benchmarks. Our analysis reveals severe redundancy: most context windows are underutilized, vocabulary usage is highly sparse, and text embeddings lie on a low-dimensional manifold despite high-dimensional representations. Motivated by these findings, we …

Frozen Lvlms For Micro-Video Recommendation: A Systematic Study Of Feature Extraction And Fusion, Huatuan Sun, Yunshan Ma, Changguang Wu, Yanxin Zhang, Pengfei Wang, Xiaoyu Du

Research Collection School Of Computing and Information Systems

Frozen Large Video Language Models (LVLMs) are increasingly employed in micro-video recommendation (MVR) due to their strong multimodal understanding. However, existing apporches typically deploy LVLMs as fixed black-box feature extractors without systematically comparing alternative representation strategies. To address this gap, we present the first systematic empirical study on various feature extraction paradigms and integration strategies, along with hierarchical representations from frozen LVLMs for MVR. Extensive experiments on representative LVLMs reveal that hidden states from multiple decoder layers provide richer and more effective representations for MVR. Guided by this insight, we propose the Dual Feature Fusion (DFF) Framework, a lightweight approach …

Co-Designing With Autistic Livestreamers: Care, Constraints, And Trade-Offs In Livestreaming, Terrance Mok, Anthony Tang, Lora Oehlberg

Research Collection School Of Computing and Information Systems

Autistic livestreamers use platforms like Twitch for social connection, self-expression, and community, but these spaces also impose ongoing social and emotional demands. Prior work has documented these experiences, but less is known about what autistic creators themselves envision for the tools and platforms they use. We address this gap through a Research through Design (RtD) co-design study with three autistic Twitch streamers, using speculative artefacts as discussion prompts to explore how participants reasoned about potential livestreaming technologies. Across three co-design activities, we identify three overarching tensions shaping autistic streaming practice: Expression versus Misinterpretation and Harm; Public Participation versus Control and …

“Grandpa, Can You Speak Nicer?”: Envisioned Chatbot Roles And Design Tensions In Intergenerational Communication Conflicts, Tianyi Zhang, Emran Bin Elias Poh, Yueyue Hou, Yi-Chieh Lee, Renwen Zhang, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Intergenerational conversations often break down when differences in tone, language, or expectations lead participants to feel dismissed or misunderstood. In this work, we explore how people envision AI-driven chatbot interventions for addressing communication problems in text-based intergenerational family chat. We conducted a scenario-based design interview with 10 pairs of family members from different generations, in which participants designed chatbot interventions that varied in intervention target and timing. Our findings show that participants expect chatbots to perform multiple themes of intervention, including mediating understanding, providing emotional support, offering evaluative commentary, and guiding interaction through behavioral suggestions. These expectations varied systematically across …

Group Conversational Agents: A Review Of Designs That Support And Shape Group Interaction, Shunyi Yeo, Tianyi Zhang, Scott Bateman, Gary Hsieh, Young-Ho Kim, Simon Tangi Perrault, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Conversational agents that participate in or mediate group interaction introduce challenges that extend beyond supporting individual users, raising new questions about how agents participate in and influence groups. To characterise this emerging design space, we present a systematic review of 53 peer-reviewed studies on group conversational agents (GCAs). We analyse how GCAs intervene in group-level processes, including participation regulation, conflict mediation, task alignment, and execution support. Using concepts from group research as an analytic lens, we organise prior GCA work around recurring group interactional challenges (orientation, conflict, alignment, and execution), and examine the roles agents are designed to play in …

The Stars Align: Modeling User Rating Calibration With Sparse Semantic Review Features, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

User ratings are often treated as comparable across users, although identical scores may reflect different experiences. We study whether ratings can be viewed as user-specific discretizations of a shared semantic continuum derived from review text. Our method maps reviews into sparse semantic features with a sparse autoencoder and learns user-specific filters for each rating level. On Amazon Electronics, the learned embeddings align along a shared low-dimensional rating axis. Users differ mainly in how they anchor and partition this continuum, while preserving its overall ordinal structure. These findings support a semantic view of calibration beyond scalar bias correction.

Hide-And-Sweep: Detecting Concealed Cameras Via Led Illumination Sweeps, Jonghyuk Yun, Jaeyoung Moon, Yunseo Park, Sean Rui Xiang Tan, Byunghyun Kim, Rajesh Krishna Balan, Jun Han

Research Collection School Of Computing and Information Systems

Hidden cameras have increasingly infiltrated hotel and Airbnb rooms, posing serious privacy risks. Detecting such cameras is challenging because they are visually inconspicuous and often embedded inside everyday objects. Even worse, existing handheld detectors are manual and also rely on single-angle illumination and hence suffer from high false-positive rates. We present SweepLED (pronounced "sweepled")1, a practical hidden camera detection system that operates on a commodity smartphone augmented with an unobtrusive LED-embedded case. SweepLED performs LED sweeping - a controlled sequence of multi-angle illumination - while the user simply holds the phone still by hand, enabling the camera to capture how …

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …

Long-Term Mine Planning: A Survey Of Classical, Hybrid And Artificial Intelligence-Based Methods, Nurul Asyikeen Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi

Research Collection School Of Computing and Information Systems

The aim of long-term mine planning (LTMP) is two-fold: to maximize the net present value of profits (NPV) and determine how ores are sequentially processed over the lifetime. This scheduling task is computationally complex as it is rife with variables, constraints, periods, uncertainties, and unique operations. In this paper, we present trends in the literature in the recent decade. One trend is the shift from deterministic toward stochastic problems as they reflect real-world complexities. A complexity of growing concern is also in sustainable mine planning. Another trend is the shift from traditional operational research solutions — relying on exact or …

Information Literacy Tutorials For High Enrollment Courses: An Iterative Design-Based Approach, Kimberly Casey, Rebekah Heleen

Communications in Information Literacy

The purpose of this paper is to provide academic librarians practical guidance on how to provide information literacy support to high enrollment, general education courses. It includes a detailed description and analysis of our approach and findings throughout the project, as well as reflections and lessons learned. The project team developed asynchronous information literacy tutorials for first-year students at the University of Arkansas, utilizing a flipped classroom approach, to address challenges in delivering personalized instruction to high-enrollment courses. Collaborating with program directors, the team created online tutorials embedded with feedback surveys, which collected nearly 2,000 student responses. We also surveyed …

June 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Screening Tools For Maternal Mental Health In Africa: A Systematic Review, Joyce Jebet, Irene Mageto, Benard Mutwiri, Abednego Ongeso, Ruth Wagathu, Rose Maina, Denis Munene, Kawira Kithuci, Peter Gatiti

School of Nursing & Midwifery, East Africa

Background:

Maternal health during pregnancy and the postnatal period encompasses mental health, which is a key aspect in enhancing a positive outcome. Despite screening for other possible complications during pregnancy and the postnatal period, very little attention has been paid to screening for mental health. Screening is a key tool in early diagnosis and, eventually, timely diagnosis and management in cases where complications arise.

Aim:

This study aimed to assess the available maternal mental health screening tools and compare the outcome on their utilization during pregnancy and postnatal periods in the African continent.

Methodology:

This was a …

The Fellowship Of Christ's Sufferings: Toward A Practical Philosophy Of Worship For Missions In The Latin American Church, Moriah Hope Joseph

Senior Honors Theses

Within Latin America, evil and suffering are ever-present realities that cannot be concealed, and the Hispanic society is aching for relief. Liberation Theology and the prosperity gospel – and their accompanying worship practices – have been offered as tools to help alleviate the experience of suffering. But these theological perspectives and practices have accomplished little in edifying the Church by way of truth. Thus, the call for the modern missionary is to instead preach worship that is a response to the incarnate Christ in suffering. The missionary must advocate for worship practices that provide space for biblical lament, reveal a …

The Impact Of Economic Stability On Diagnostic Timing Of Autism Spectrum Disorder In Children, Leslie Box Simms

ETDs from 2020-2029

Diagnosis of neurodevelopmental delays in children, including autism spectrum disorder, is an often lengthy and burdensome process, potentially placing children with economic instability at risk for diagnostic delay. The first aim of this dissertation was to explore the impact of economic stability on diagnostic timing of autism spectrum disorder via a scoping review of the literature. Papers were summarized by study design, data sourcing, handling of variables, statistical methodology, and the effect of economic stability factors on diagnostic timing of autism. Income and healthcare insurance were the most frequently employed measures of economic stability, with transportation, housing, and food security …

What If?, Jennifer Love

ETDs from 2020-2029

WHAT IF? JENNIFER LOVE MASTER OF ARTS IN ENGLISH – CREATIVE WRITING ABSTRACT What If? is a contemporary romance novel set in Birmingham, AL and Manhattan, NY. The story follows ex high school sweethearts, Liyah Mason and Max Thomas, who broke up shortly after their graduation. One night, while at the same restaurant, Max and Liyah reconnect. Their reconnection results in Liyah’s boyfriend, Owen, breaking up with her. Feeling the need for a reset, Liyah goes to New York. Due to a career ending injury, Max’s career as a major league baseball player is cut short. In the midst of …

Aging Like A Pro: Altering Health Behavior Motivation Through Community Education Programs, Susan Eva Fox-Rosellini

ETDs from 2020-2029

ABSTRACT Population aging presents significant public health challenges, particularly in preventing cognitive decline and maintaining functional independence among older adults. Today in the United States, the National Institutes of Health (NIH) estimates that about 40% of people aged 65 or older have age-associated memory issues. That number is expected to more than double by 2060. Community-based education programs can represent a scalable strategy to influence behavior modification that may be linked to successful cognitive aging. This dissertation evaluated the Aging Like A Pro (ALP) community education program that focused on key aspects of health: sleep, mindfulness, nutrition, and fitness, encouraging …

Emotion In Absence: Omission, World War I, And Masculine Vulnerability In Ernest Hemingway's In Our Time, Anna Murph

ETDs from 2020-2029

This thesis analyzes Ernest Hemingway’s depictions of male-male and male-female relationships in his collection of short stories, In Our Time. By comparing heterosexual and homosocial relationships, I explore how Hemingway’s depictions of male bonds are not only unique due to his famed terseness but also rooted in shared understanding, prompting a reconsideration of how male bonds are interpreted textually. I consider Hemingway’s use of omission and focus on how his minimalistic style lends to a reading of male-male relationships as more emotionally intimate than heterosexual relationships. When analyzing omission and relational dynamics through concepts such as gesture, touch, identity, and …

Bridging Gaps In Federally Qualified Health Centers: Examining Enabling Services And Their Role On Care Delivery, Shanequa Roscoe-Nelson

ETDs from 2020-2029

Federally Qualified Health Centers (FQHCs) are a vital provider of comprehensive healthcare for vulnerable and underserved communities. They serve populations that are disproportionately impacted by chronic health conditions and socioeconomic related barriers to healthcare. To provide adequate support and reduce barriers faced by patients, some FQHCs deliver not only primary and preventative care but also a range of enabling services. These enabling services range from providing transportation to health education and case management. This dissertation includes three studies that examine how environmental conditions are related to the use of enabling services in FQHCs, the relationship between enabling services and process …

Recognizing Patients In Places: A Multilevel Analysis Of Severe Heat-Related Illness Risk In Birmingham, Al, Andria Cimino

ETDs from 2020-2029

Socially marginalized people face a higher risk of adverse health outcomes from extreme heat—as many as 12,000 U.S. deaths a year are attributable to heat-related illness (HRI), a preventable but multifactorial condition. Where one lives plays a critical role in HRI incidence, with evidence linking historically segregated and disinvested urban environments to a higher risk. The literature also suggests that Black adults experience worse HRI outcomes than non-Hispanic White adults, and that men are often, though not always, at higher risk than women. Individuals with heat-sensitive conditions and socially isolated adults also face elevated risk. Yet the mechanisms by which …

The Guardian The Month Of June 2026, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the Month of June 2026. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Independent Apparel Brand Launch Campaign Strategy, Nick S. Schottenfeld

Graphic Communication

Soleil Lune is an independent California apparel brand with an established visual identity, a growing social media following, and a live product collection but lacks a coordinated marketing system to connect those pieces into a unified launch. Without that structure, the brand’s Instagram, Shopify store, and print materials were operating independently, making it difficult to build consistent customer trust or drive sales. This project developed a full launch campaign producing a print and digital lookbook, 10 Instagram campaign assets, a printed poster, and a branded care insert card all designed to work together to tell the brand story, grow the …

Exploring Racial And Ethnic Diversity Trajectories And Diabetes Prevalence In The United States, Jiue-An Yang, Calvin P Tribby, Anna Dmowska, Qian Xiao, Marta M Jankowska

Faculty, Staff and Student Publications

This study investigates whether long-term changes in neighborhood racial and ethnic diversity are associated with adult diabetes prevalence across the contiguous United States. We calculated diversity indexes for US census tracts (n = 72,033) using decennial census data from 1990 to 2020. Five diversity trajectory clusters were identified using K-means clustering. Diabetes prevalence in 2019 was obtained from the CDC's PLACES dataset. Linear mixed models (LMMs) assessed global associations between diversity trajectories and diabetes prevalence, adjusting for age, sex, poverty, marital status, and public insurance. Geographically weighted regression (GWR) examined local variations in these associations. Compared to the reference group …