Digital Commons Network^™

The Potential Scalability Of High-Pressure Sliding Technique For Developing Ultrafine Grained Material With Enhanced Mechanical Properties Of Aa7075, Eman Zayed, Nahed El-Mahallawy, Mostafa Shazly

Mechanical Engineering

No abstract provided.

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 …

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.

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 …

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 …

Injury Equity: The Rise Of Future Stakes Settlements, Margaret Schaack

University of Chicago Law Review

In a changing environment in which class action defendants are turning to aggressive strategies to contain the cost of lawsuits, including using bankruptcy proceedings to limit their liability, plaintiffs’ attorneys are fighting back by seeking new ways to recover damages from illiquid and functionally judgment-proof companies. The latest development is the “future stakes settlement,” unveiled in the agreement to end a privacy law class action lawsuit against the startup Clearview AI. Under this novel mechanism, a defendant grants a privately traded equity stake to the class in exchange for a release of all claims

Future stakes settlements, though similar to …

Rain, Rain, Go Away: Geoengineering And The Illusion Of Control, Hannibal Newsom

School of Architecture - All Scholarship

“Geoengineering” is increasingly seen as the best, perhaps even last, hope in the fight against global warming. Calls for such practices as Solar Radiation Management are becoming urgent as the effects of the climate crisis make themselves visible. This essay uses California’s Salton Sea, a geo-engineered palimpsest of once natural terrain turned toxic and inhospitable through human intervention, as a case study against the illusion of control. Through the critical lens of Magical Realism and the visual language of the architecture studio, this essay calls into question the desire to exert human control over natural systems, illustrating that the unintended …

Improving Student Outcomes, Brenda Burton

Education Theses and Dissertations

This improvement science dissertation in practice was conducted to make an improvement in education practice to positively affect student outcomes. Plan -> Do -> Study -> Act cycles (Bryk et al., 2015) were employed to identify a specific problem of practice, determine root cause(s), advance change theory, and define potential solutions. Many stakeholders were consulted and the initial phase evaluated the existing condition. Results informed the design of an intervention which was then implemented and evaluated in a second phase. Findings showed that a novel way of communication, the introduction of video technology, was correlated with improved student perceptions, self-regulation, …

Time Synchronization For 5g And Tsn Integrated Networking, Zixiao Wang, Zonghui Li, Cheng Long, Yiming Zheng, Bo Ai, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

Emerging industrial applications involving robotic collaborative operations and mobile robots require a more reliable and precise wireless network for deterministic data transmission. To meet this demand, the 3rd Generation Partnership Project (3GPP) is promoting the integration of 5th Generation Mobile Communication Technology (5G) and Time-Sensitive Networking (TSN). Time synchronization is essential for deterministic data transmission. Based on the 3GPP’s vision of the 5G and TSN integrated networking with interoperability, we improve the time synchronization of TSN to conquer the multi-gNB competition, re-transmission, and mobility problems for the integrated 5G time synchronization. We implemented the improvement mechanisms and systematically validated the …

Distributed Energy Resources: A Systematic Literature Review, Midrar Adham, Sean Keene, Robert B. Bass

Electrical and Computer Engineering Faculty Publications and Presentations

The traditional power grid, characterized by its centralized nature and one-way power flow, has long been the backbone of electricity supply and distribution. Grid operators have historically found various ways to accurately predict demand, anticipate faults, and prepare appropri- ate responses. However, with the rapid integration of Distributed Energy Resources such as Photovoltaic, storage systems, grid-interactive generation, and flexible-load assets, energy consumption and production patterns have become less predictable, transforming the grid into a two-way power flow system. Managing the potential of these Distributed Energy Resources requires advanced management systems that provide monitoring, coordination, and aggregation capabilities to …

A Developmental Texture Framework For Food Texture Progression: Implications For Feeding Development, Oral Motor Skills, And Pediatric Feeding Disorder, Amy L. Delaney, Sarah Staskiewicz, Suzanne Evans Morris, Sarah Smith-Simpson, Praveen S. Goday

Speech Pathology and Audiology Faculty Research and Publications

The introduction of food textures in a child's first 2 years of life plays a vital role in growth, nutrition, and feeding development. However, the absence of a standardized texture framework for studying texture progression limits both pediatric feeding research and the ability to diagnose pediatric feeding disorder (PFD) based on age-appropriate expectations. To address this gap, authors Delaney and Goday proposed data sharing from the Nestlé Feeding Infant-Toddler Study (FITS) to explore texture progression and define age-appropriate texture expectations. In response, Nestlé assembled a multidisciplinary panel of feeding experts to create standardized textures but did not provide financial or …

Fixed Points In Linear Regression, David L. Farnsworth

Articles

There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable in the observations matches up with one of these points, which are called pivot or fixed points. The coordinates of the fixed points are derived, and the properties of the points are explored. All points in the plane that yield each of the fixed points are found. The role that fixed points play in regression diagnostics is investigated. A new mechanical device that uses linkages to model the role …

The Past, Present, And Future Of Proxy Voting Choice, Dorothy S. Lund

Faculty Scholarship

This article provides an early attempt at understanding what voluntary pass-through voting could mean for the marketplace. I first provide an overview of my argument in my 2018 Journal of Corporation Law article and the events that followed. I then survey passthrough voting initiatives that have taken hold at three asset managers — BlackRock, Vanguard, and State Street. I then conclude with some preliminary observations about how voting choice is likely to affect the proxy voting landscape and outline open questions.

Ac-Induced Corrosion Of Cathodically Protected Pipelines: Experimental Study And Probabilistic Modeling, Yuhan Su, Emadoddin Majdabadi Farahani, Qindan Huang, Qixin Zhou

Civil and Environmental Engineering Faculty Research and Publications

This study investigated the effects of alternating current (AC) interference on pipeline steel under cathodic protection (CP). In a simulated solution, real-time electrochemical measurements and corrosion rate analysis were conducted on two steel types (C1018 and X60) under various levels of AC interference with CP. Due to the complexity of AC-induced corrosion, relying on the shift in DC potential alone cannot accurately demonstrate the corrosion behavior in the presence of AC interference. In fact, such an approach may mislead the predictions of corrosion performance. It is observed that AC interference reduced the effectiveness of CP and increased the corrosion rate …