Digital Commons Network^™

New Tsg Processes: Improving Workflow Efficiency Through Desktop Ux/Ui Design, Evelyn Guzman Ramos

Graphic Communication

This senior project is focused on improving the equipment handling processes for the Technical Service Group (TSG) in the Electrical Engineering Department at Cal Poly through the design and development of a user-friendly desktop application. The goal is to create an intuitive and efficient interface tailored to the needs of student staff and faculty, reducing the time and complexity associated with current manual and outdated systems. The design will prioritize usability, accessibility, and task efficiency, key pillars in User Experience (UX) and User Interface (UI) design for desktop environments (Nielsen & Budiu, 2012). This user-centered approach emphasizes desktop-specific interaction patterns …

Abuse Of Power In The Workplace: The New Gender Discrimination Claims, June Carbone, Nancy Levit, Naomi Cahn

University of the Pacific Law Review

No abstract provided.

Exploring Persistence And Retention At Jmu, Paul E. Mabrey Iii

Student Success Analytics

Student Success Stories presentation Exploring Persistence and Retention at JMU.

Moving Slow And Fixing Things, Scott Shackelford, Janine Hiller, Christos Makridis, Iain Nash, Kathryn Kisska-Schulze, Hannibal Travis

Indiana Law Journal

Silicon Valley, and the U.S. tech sector more broadly, have changed the world in part by embracing a “move fast and break things” mentality popularized by Mark Zuckerberg. While it is true that the tech sector has attempted to break with such a reactive and flippant response to security concerns, including at Microsoft itself through its Security Development Lifecycle, cyberattacks continue at an alarming rate. As a result, there are growing calls from regulators around the world to change the risk equation. An example is the 2023 U.S. National Cybersecurity Strategy, which argues that “[w]e must hold the stewards of …

Dark Patterns As Disloyal Design, Johanna Gunawan, Woodrow Hartzog, Neil Richards, David Choffnes, Christo Wilson

Indiana Law Journal

Lawmakers have started to regulate “dark patterns,” understood to be design practices meant to influence technology users’ decisions through manipulative or deceptive means. Most agree that dark patterns are undesirable, but open questions remain as to which design choices should be subjected to scrutiny, much less the best way to regulate them.

In this Article, we propose adapting the concept of dark patterns to better fit legal frameworks. Critics allege that the legal conceptualizations of dark patterns are overbroad, impractical, and counterproductive. We argue that law and policy conceptualizations of dark patterns suffer from three deficiencies: First, dark patterns lack …

The Mirage Of Artificial Intelligence Terms Of Use Restrictions, Peter Henderson, Mark A. Lemley

Indiana Law Journal

Artificial intelligence (AI) model creators commonly attach restrictive terms of use to both their models and their outputs. These terms typically prohibit activities ranging from creating competing AI models to spreading disinformation. Often taken at face value, these terms are positioned by companies as key enforceable tools for preventing misuse, particularly in policy dialogs. The California AI Transparency Act even codifies this approach, mandating certain responsible use terms to accompany models.

But are these terms truly meaningful, or merely a mirage? There are myriad examples where these broad terms are regularly and repeatedly violated. Yet except for some account suspensions …

The Overstated Cost Of Ai Fairness In Criminal Justice, Ignacio Cofone, Warut Khern-Am-Nuai

Indiana Law Journal

The dominant critique of algorithmic fairness in AI decision-making, particularly in criminal justice, is that increasing fairness reduces the accuracy of predictions, thereby imposing a cost on society. This Article challenges that assumption by empirically analyzing the COMPAS algorithm, a widely used and widely discussed risk assessment tool in the U.S. criminal justice system.

This Article makes two contributions. First, it demonstrates that widely used AI models do more than replicate existing biases—they exacerbate them. Using causal inference methods, we show that racial bias is not only present in the COMPAS dataset but also worsened by AI models such as …

Using Industry-Level Characteristics To Assess The Degree To Which Interventions Engage An Employee Population, Haley C. Trust, Brett Amazon, Anthony Puline, Evan Sassenberger, Kristin Horan

The Kennesaw Journal of Undergraduate Research

Participation is an essential component in workplace health and safety programs or interventions. While those who conduct interventions often report participation rates among the overall organization, it could be useful to compare participants to industry statistics, given that health and safety risks can diverge widely among industries. Research students from Kennesaw State University analyzed a sample of published papers that focus on occupational health psychology interventions. This narrative review analyzed existing studies to look for similarities or dissimilarities between a sample of intervention participants and employees of their industry as a whole. The students considered demographic, socioeconomic, job-related, and health-related …

Nebline, June/July 2025

NEBLINE Newsletter Archive from Nebraska Extension in Lancaster County

4-H embryology will crack 50 years of chicks hatching in local classrooms, Vicki Jedlicka

Simple ways to eat more fruits and veggies every day, Alyssa Havlovic

Recipe of the month: Crunchy veggie wraps

Annual flowers for sunny locations, Mary Jane Frogge

Garden guide: Things to do this month, Mary Jane Frogge

2025 Gro Big Red

It’s time for private well maintenance, Becky Schuerman

Monitoring pastures for improving management and productivity, John Nelson

Why play is your child's most important work, Hayley Jackson Perez

Keep an eye out for some common caterpillars, Kait Chapman

Lancaster County Super Fair

Upcoming babysitting trainings …

Integrating Universal Generative Ai Platforms In Educational Labs To Foster Critical Thinking And Digital Literacy, Vasiliy S. Znamenskiy, Joel Hernandez, Rafael Niyazov

Publications and Research

This study investigates the educational potential of generative artificial intelligence (GenAI) platforms based on large language models (LLMs), such as ChatGPT, Claude, and Gemini, as tools for studentcentred learning. Recognizing the current limitations of GenAI, particularly its propensity for generating inaccurate or misleading information—the paper proposes a novel instructional strategy: an interdisciplinary laboratory designed to foster critical evaluation of GenAI-generated outputs. In this pedagogical model, students engage with GenAI systems by posing questions or solving problems drawn from topics they have already studied and understand. Equipped with correct answers, students are positioned to assess the accuracy and relevance of AI-generated …

Evaluating Student Driver Knowledge And Behaviors Through A University Driver Education Safety Refresher Program, Jason Jackman, Audrey Everett, Kayleigh Murray, Leomar White

CUTR Internal Grant Research Program

This pilot program utilized an online survey to identify driver behaviors among students, faculty, and staff on the University of South Florida (USF) Tampa campus. Adopting a social marketing approach, the program focused on identifying and addressing driver safety issues and behaviors. The research aimed to develop recommendations for creating a safer driving environment at USF by updating driver safety information for students and raising awareness about safety across all campus transportation modes.

As part of this initiative, the USF Student Government (SG) partnered with the Center for Urban Transportation Research (CUTR) to pilot a new student transportation officer position …

Quantifying Harmful Trunk Postures: Inertial Sensor Analysis Of Trunk Angle To Support Low Back Pain Prevention, Elsa E. Bates

Master's Theses

Low back pain is a highly prevalent condition worldwide, impacting up to 80% of individuals at least once in their lifetime. A critical gap in current prevention strategies is the lack of tools to accurately measure trunk posture and movement in real-world environments. Accurate identification of biomechanical risk requires information about movement intensity, duration, and frequency, yet traditional assessment methods rely on self-reporting or visual observation, which are time-consuming and prone to error. To address this gap, a wearable monitoring method, consisting of two Inertial Measurement Units, was designed to quantify risk exposure to the spine by measuring angular position …

Facilitating Culturally Affirming Experiences For Pacific Islander Stem Students Through An Apprentice Model For Undergraduate Research, Tobias Irish, Joseph Genz, Monique Storie

Pacific Studies

No abstract provided.

Letter To The Philippine Economic Team "At A Crossroads: Progress Or More Of The Same (Mots)?", Jesus Felipe, Mariel Monica Sauler, Gerardo L. Largoza, Susan Kurdli, Alellie Sobrevinas, Christopher James Cabuay

Angelo King Institute for Economic and Business Studies (AKI)

No abstract provided.

Analysis Of The Effects Of Extractor Orientation On The Performance Of An Electrospray System, Hannah Grace Sargent

Masters Theses

In this thesis, a single-emitter porous electrospray thruster was tested at nine different extractor electrode positions. The nine positions were: center, four slightly offset in each cardinal direction, and four significantly offset in each cardinal direction. Slightly offset was defined as ~25% of the distance from the center to the edge of the extractor orifice (~125 ± 2 μm) and significantly offset was defined as ~60% of the distance from the center to the edge of the extractor orifice (~302 ± 2 μm). Three diagnostic measurements were recorded to determine the effect of the extractor electrode position on thruster operation: …

Key Determinants In Electric Vehicle Charging Station Locations, Sania Pirouzi

Theses (2016-Present)

The growing adoption of electric vehicles (EVs) requires metropolitan areas to strategically plan the placement of charging infrastructure to support accessibility, efficiency, and sustainability. This study investigates key determinants for the optimal siting of EV charging stations, using Houston, Texas, as a case study. Through a comprehensive literature review and expert consultation, eight critical criteria were identified: land use type, population density, median income level of residents in the area, vehicle ownership rate in the area, young and middle-aged residents share in the area, flood risk, traffic density and proximity to major roads, and educational attainment of the residents in …

Entrepreneurial Spirit In Women Of Color: Case Studies On Navigating Cultural And Structural Barriers In Conventional Entrepreneurial Systems, Liz Thuy-Duong Nguyen Pham

Social Justice in Educational Leadership EdD Dissertations

This qualitative narrative multiple case study explores how Women of Color Entrepreneurs (WoCEs) navigate intersecting structural, cultural, and emotional barriers that shape their entrepreneurial experiences. Grounded in feminist economics, intersectionality, and grit theory, the study centers the lived narratives of five WoCEs across California to examine how identity, cultural values, and caregiving responsibilities influence business motivations, strategies, and definitions of success.

Rather than framing their journeys through a deficit lens, this research adopts an assetbased approach to highlight the resilience, creativity, and community-rooted models that WoCEs cultivate. Findings reveal how participants strategically respond to systemic exclusion— including patriarchal norms that …

Learning Spatio-Temporal Dynamics For Trajectory Recovery Via Time-Aware Transformer, Tian Sun, Yuqi Chen, Baihua Zheng, Weiwei Sun

Research Collection School Of Computing and Information Systems

In real-world applications, GPS trajectories often suffer from low sampling rates, with large and irregular intervals between consecutive GPS points. This sparse characteristic presents challenges for their direct use in GPS-based systems. This paper addresses the task of map-constrained trajectory recovery, aiming to enhance trajectory sampling rates of GPS trajectories. Previous studies commonly adopt a sequence-to-sequence framework, where an encoder captures the trajectory patterns and a decoder reconstructs the target trajectory. Within this framework, effectively representing the road network and extracting relevant trajectory features are crucial for overall performance. Despite advancements in these models, they fail to fully leverage the …

Efficient And Green Large Language Models For Software Engineering: Literature Review, Vision, And The Road Ahead, Jieke Shi, Zhou Yang, David Lo

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid growth of the Large Language Models for Software Engineering (LLM4SE) area. However, limited attention has been paid to developing efficient LLM4SE techniques that demand minimal computational cost, time, and memory resources, as well as green LLM4SE solutions that reduce energy consumption, water usage, and carbon emissions. This article aims to redirect the focus of the research community toward the efficiency and greenness of LLM4SE, while also sharing potential research directions to achieve this goal. It commences with a brief overview of the significance …

Enhancing Vulnerability Detection Via Inter-Procedural Semantic Completion, Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shang-Wei Lin

Research Collection School Of Computing and Information Systems

Inspired by advances in deep learning, numerous learning-based approaches for vulnerability detection have emerged, primarily operating at the function level for scalability. However, this design choice has a critical limitation: many vulnerabilities span multiple functions, causing function-level approaches to lose the semantics of called functions and fail to capture true vulnerability patterns. To address this issue, we propose VulnSC, a novel framework designed to enhance learning-based approaches by complementing inter-procedural semantics. VulnSC retrieves the source code of called functions for datasets and leverages large language models (LLMs) with well-designed prompts to generate summaries for these functions. The datasets, enhanced with …

Ntire 2025 Challenge On Event-Based Image Deblurring: Methods And Results, Lei Sun, Et. Al.

Research Collection School Of Computing and Information Systems

This paper presents an overview of NTIRE 2025, the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-based method that achieves high-quality image deblurring, with performance quantitatively assessed using Peak Signal-toNoise Ratio (PSNR). Notably, there are no restrictions on computational complexity or model size. The task focuses on leveraging both events and images as inputs for singleimage deblurring. A total of 199 participants registered, among whom 15 teams successfully submitted valid results, offering valuable insights into the current state of eventbased image deblurring. We anticipate …

Digital Resurrection Of Thonis-Heracleion: Technological Advances In Underwater Archaeology And A Speculative Ai-Driven Reconstruction Methodology, James Hutson, Passent Chahine

Faculty Scholarship

This article synthesizes past archaeological research on the submerged Egyptian city of Thonis-Heracleion, critically reviewing excavations and technological interventions deployed since its rediscovery by Franck Goddio and the IEASM team. Situated approximately 10 meters beneath Aboukir Bay near Alexandria, the city represents a significant nexus of Greek and Egyptian cultural heritage, vividly documented in classical sources such as Herodotus and Strabo. Prior excavations have recovered temple complexes, colossal statues, ritual artifacts, and an extensive array of ancient shipwrecks, mapping only a fraction of the extensive site. These investigations utilized pioneering geophysical methods, including multibeam sonar, side-scan sonar, and photogrammetry, establishing …

Chanticleer | June 2025, Jacksonville State University

Chanticleer

No abstract provided.

The New Reality Of Work: Automation And Ai In Tyler, Manuel Reyes-Loya, Cecilia Cuellar

Hibbs Brief

This brief analyzes how automation and artificial intelligence (AI) are reshaping Tyler's labor market, identifying which occupations are most at risk and which may grow. It shows a significant share of local jobs are exposed to automation, but also highlights opportunities in roles requiring human skills and advanced technical training. The brief recommends workforce development and retraining to help the region's workers adapt and thrive in an increasingly automated economy.

Admiralty, John P. Kavanagh Jr.

Mercer Law Review

The cases discussed herein represent decisions from the United States Court of Appeals for the Eleventh Circuit, as well as district courts within the Circuit, issued in 2024. While not an all-inclusive list of maritime decisions during that timeframe, the Author identified and provided summaries of key rulings of interest to the maritime practitioner

Bankruptcy Law, E. Tate Crymes, Siena Berrios Gaddy, Victoria Barbino Grantham

Mercer Law Review

This Article focuses on bankruptcy opinions issued by the Supreme Court of the United States and the United States Court of Appeals for the Eleventh Circuit. Topics addressed include: (1) whether an insurer with financial responsibility for a bankruptcy claim is a “party in interest” under 11 U.S.C. § 1109; (2) appropriate remedies for a constitutional violation described in Siegel v. Fitzgerald; (3) whether the bankruptcy code authorizes a court to extinguish claims and potential claims without the consent of those affected or without martialing total assets for creditors; (4) finality of a contempt order; (5) revival under Rule 69(a) …

The Impact Of Ai Bots And Crawlers On Open Repositories: Results Of A Coar Survey, April 2025, Kathleen Shearer, Paul Walk

Copyright, Fair Use, Scholarly Communication, etc.

There are a growing number of AI bots crawling repositories. These automated bots, or crawlers, navigate the internet, gathering data and indexing information for search engines, AI and large language models, and other purposes. While some bots are rather innocuous, others are sufficiently aggressive that they are increasingly causing service disruptions in repositories (and other scholarly communications infrastructures). To learn more about the current state and gain a better understanding about the impact of bots and crawlers on repositories, COAR distributed a survey to members in April 2025. The survey received 66 responses from repositories around the world (22 from …

Arctic Law: Even More Sustainable? Roles Of The Us And Eu, Joseph F.C. Dimento, Jessica L. Pierucci

UMKC Law Review

No abstract provided.

Drselects: Interdisciplinary Textiles Sig, Rebecca Stewart, Elaine Igoe

DRSelects

No abstract provided.

Transparency Without Teeth: An Empirical Understanding Of Data Broker Regulation, Elijah Greisz

University of Chicago Law Review

It is no secret that data has taken over the modern economy, and it is unsurprising that governments have begun acting in response. Perceiving mismatched bargaining power between firms and consumers—and certain externalities resulting from the massive quantities of data being collected by firms about those consumers— many state legislatures have passed generally applicable data privacy statutes. These laws give consumers certain rights to control the data they distribute in everyday commerce. Such regulations follow an “interaction model,” whereby consumers can exercise their rights by interacting with data-possessing firms.

But there is a key player that complicates this scheme: the …