Digital Commons Network^™

Towards Secure Program Partitioning For Smart Contracts With Llm’S In-Context Learning, Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging because they stem from inherent data confidentiality issues rather than straightforward implementation bugs. To tackle this by preventing sensitive information leakage, we present PARTITIONGPT, the first LLM-driven approach that combines static analysis with the in-context learning capabilities of large language models (LLMs) to partition smart contracts into critical (privileged) and normal codebases, guided by a few annotated sensitive data variables. We evaluated PARTITIONGPT on 18 annotated smart contracts containing 99 sensitive functions. The results demonstrate that PARTITIONGPT successfully generates …

Qualitative Study For Llm-Assisted Design Study Process: Strategies, Challenges, And Roles, Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, Jiannan Li

Research Collection School Of Computing and Information Systems

Design studies aim to develop visualization solutions for real-world problems across various application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process, providing capabilities such as creative problem-solving, data handling, and insightful analysis. However, despite their growing popularity, there remains a lack of systematic understanding of how LLMs can effectively assist researchers in visualization-specific design studies. In this paper, we conducted a rnulti-stage qualitative study to fill this gap, which involved 30 design study researchers from diverse backgrounds and expertise levels. Through in-depth interviews and carefully-designed questionnaires, we investigated strategies …

Artem: Enhancing Large Language Model Agents With Spatial-Temporal Episodic Memory, Cassandra Hui Ming Tan, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Current large language models (LLMs) exhibit significant deficiencies in episodic memory tasks including encoding, storing, and retrieving specific information from temporally dependent events over a long period of time. Recent approaches to handle memory tasks in LLMs, such as in-context learning, retrieval-augmented generation (RAG), and fine-tuning, may resolve the long-term retention issues, but are still inadequate to handle tasks requiring chronological awareness of the stored information. We introduce Agentic Retrieval with Temporal-Episodic Memory (ARTEM), a hybrid LLM-based agent architecture integrating LLMs with a self-organizing neural network named Spatial-Temporal Episodic Memory (STEM), designed to handle episodic memory tasks. Our approach employs …

Look, Compare And Draw: Differential Query Transformer For Automatic Oil Painting, Lingyu Liu, Yaxiong Wang, Li Zhu, Lizi Liao, Zhedong Zheng

Research Collection School Of Computing and Information Systems

This work introduces a new approach to automatic oil painting that emphasizes the creation of dynamic and expressive brushstrokes. A pivotal challenge lies in mitigating the duplicate and common-place strokes, which often lead to less aesthetic outcomes. Inspired by the human painting process, i.e., observing, comparing, and drawing, we incorporate differential image analysis into a neural oil painting model, allowing the model to effectively concentrate on the incremental impact of successive brushstrokes. To operationalize this concept, we propose the Differential Query Transformer (DQ-Transformer), a new architecture that leverages differentially derived image representations enriched with positional encoding to guide the stroke …

A Predator-Prey Biological Model Of Multiple Species With Linear Growth Rates, Joon Hyuk Kang

Faculty Publications

No abstract provided.

Strategies That Work: Lessons From Women In Mid- And Senior-Level Information Technology Leadership For Building Inclusive Organizational Cultures, Kashalett Y. Foster

Doctor of Education Dissertations

This mixed methods convergent parallel study explored the leadership experiences of women in mid-level and senior-level roles within the information technology (IT) industry in the United States. Grounded in the Feminist Theory and Glass Ceiling Theory, the study examined workplace factors influencing professional growth, organizational environments, coping mechanisms, and retention strategies. Quantitative data were collected using the Gender Bias in the Workplace Scale (GBWS) and analyzed using descriptive statistics, chi-square goodness-of-fit tests, and analysis of variance (ANOVA). Qualitative data were collected through semi-structured interviews and analyzed using inductive thematic analysis. The findings revealed that mentorship, sponsorship, informal networks, and self-advocacy …

Program Evaluation Of A Trauma-Informed Professional Development Program Implemented In Two Title I Schools, Andrea G. Nordberg

Doctor of Education Dissertations

Adverse childhood experiences (ACEs) influence students’ academic achievement, behavior, and social-emotional development. Because of the significant impact, there is a need for educators to understand and implement trauma-informed strategies and practices within the classroom. The purpose of this program evaluation was to determine the effectiveness of the initial implementation of the professional learning module (PLM) entitled “Compassionate Care: Working With Students With ACEs.” The PLM was implemented at two Title 1 elementary schools in North Carolina. The Kirkpatrick Model’s four levels of evaluation, as expanded upon by Kirkpatrick Partners (2024), served as the evaluation tool, and the qualitative program evaluation …

Ai-Powered Lawyering: Ai Reasoning Models, Retrieval Augmented Generation, And The Future Of Legal Practice, Daniel Schwarcz, Sam Manning, J. J. Prescott, Patrick Barry, David R. Cleveland, Beverly Rich

Articles

Generative AI is set to transform the legal profession, though its most promising uses and ultimate effects are still unclear. While AI models like GPT-4 improve efficiency, they can also “hallucinate” and may undermine legal judgment, particularly in complex tasks typically handled by skilled lawyers. This article examines two emerging AI innovations that may mitigate these concerns: Retrieval Augmented Generation (RAG), which grounds AI-powered analysis in legal sources, and AI reasoning models, which structure complex reasoning before generating output. We conduct the first randomized controlled trial assessing these technologies, assigning upper-level law students to complete legal tasks using a RAG-powered …

State Climate Superfunds, Rachel Rothschild

Articles

The harmful effects of climate change have already arrived in cities and states across America, with disasters increasing markedly in recent years along with more gradual environmental changes like sea-level rise and drought. To protect populations and natural resources, significant funding will be necessary for preventative measures as well as disaster response.

At present, it is states and ordinary taxpayers who must shoulder the enormous costs and planning for climate adaptation. A number of state legislators, however, have recently proposed enacting new laws that would require the companies who have most profited from fossil fuel usage to assist in funding …

Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus

Research outputs 2022 to 2026

The success of STEM education in early childhood education is reliant on the pedagogical practices of teachers. Effective teaching of STEM requires specific knowledge of the four disciplines of STEM, appropriate teaching and learning methods and relevant experiences. In Saudi Arabia the teaching of STEM is a relatively new field, and this paper outlines a research project to promote the teaching and learning of STEM through professional development workshops. The research is informed by Vygotsky’s cultural-historical/socio-cultural theory, acknowledging the crucial role of social interaction and cultural context in a collaborative learning environment. To evaluate the project, a mixed methods approach …

A Case Study Of Gender And Online Team Communication In Software Engineering Education, Rita Garcia, Christoph Treude

Research Collection School Of Computing and Information Systems

Collaboration is crucial in Software Engineering (SE), yet factors like gender bias can shape team dynamics and behaviours. This descriptive case study examines an eight-week project involving 39 SE students across eight teams contributing to GitHub projects. Focusing on gender, we used a mixed-methods approach to analyse Slack communications, identifying gender differences in how students respond to initiated communications and comparing how students’ communications influenced other aspects of students’ performance, including learning gains. We found higher help-seeking and leadership behaviours in the all-woman team involved in this case study, while men responded more slowly. Although communication did not directly affect …

How Oregon School District Staffing Allocation Proportions Relate To Student Achievement As Measured By Essa-Aligned Key Indicators On The Oregon School Report Cards, David M. Wallace

Doctor of Education (EdD)

Grounded in the Educational Production Function framework and Oregon’s ESSA-aligned accountability system, this study examined the relationship between district-level staffing allocation proportions and student achievement outcomes. Within the constrained, zero-sum context of school district budgeting, the study examined whether the proportional distribution of personnel expenditures among certified, classified, and administrative staff was associated with differences in third grade English Language Arts (ELA) proficiency, eighth grade mathematics proficiency, attendance, and on-time graduation. Using an unbalanced panel of 519 district-year observations from Oregon public school districts (2021–2024), multiple regression models controlled for student poverty, disability status, and English learner enrollment. The findings …

The Intersection Of Bias And Practice: Understanding How Adult Beliefs And Ppt Expertise Affect Self-Contained Placement Recommendations In Special Education, Amy M. Martino

Doctor of Education (Ed.D.)

This mixed-methods Improvement Science Dissertation in Practice (ISDiP) examined high rates of segregation for students receiving special education services in an urban district in central Connecticut. A root cause analysis, supported by a review of existing literature, guided the need for intervention given the widening gap between academic achievement and post-secondary outcomes for students with disabilities as compared to their peers at the secondary level. Using an improvement science framework within a convergent mixed-methods design, this study investigated the implementation of a six-week professional learning intervention for high school administrators. The professional learning focused on the facilitation of Planning and …

Guidelines For Standard Basic Notations In Applied Statistics, Abhaya Indrayan, Shivani Saini Ms

COBRA Preprint Series

Whereas some statistical notations are standard and uniformly used by different workers, many are not. Varying notations lead to confusion among the readers, particularly those engaged with applied statistics material, such as medical professionals. This communication proposes that all basic notations be standardized so that the same notations are consistently used by different authors, in different books, journals, and articles for the benefit of those who are not rigorously trained statisticians. Guidelines for such standard notations are also provided. The lead must be taken by statisticians.

Chanticleer | Spring 2026 [Digitized Print Edition], Jacksonville State University

Chanticleer

No abstract provided.

The Great Lakes Social Studies Journal Volume 6, Issue 1 Full Issue, Linda Doornbos Dr., Michele S. Phillips

The Great Lakes Social Studies Journal

None

A Novel Lightweight Framework For Low-Light Image Enhancement Via Gaussian Denoising And Clahe, Daniel Oluwaseun Adesoji

Master's Theses or Doctor of Nursing Practice

Low-light image enhancement is a major challenge in digital imaging, especially in medical imaging, surveillance, and autonomous vision systems. Images captured under poor illumination often appear dark, noisy, and low in contrast, which makes it hard to observe important details. Traditional enhancement methods can improve brightness but usually introduce artifacts or increase noise. Although deep learning methods have shown strong performance, they usually require large datasets, and high computational resources. This creates a need for simpler and more efficient enhancement techniques. This study proposes a lightweight framework that incorporates Gaussian denoising with Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance …

Iowa Waste Reduction Center Newsletter, January 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Jim's Final Farewell
--- MSEI for Central Iowa and for All Portable Plants
--- P2 Grant Ramps up to Enhance Brewery Pollution
--- Introducing Our Newest Interns
--- IStorm 26
--- Industry News

Necessary-Law Arguments, A. C. Paseau

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Development And Validation Of A Music Teacher Candidate Assessment, Phillip Hash

Faculty Publications - Music

The purpose of this study was to develop and validate the Music Teacher Candidate Assessment (MTCA), a rubric-based tool for evaluating student teachers in music classrooms. Factor analyses of scores issued by university supervisors (USs), cooperating teachers (CTs), and student teachers (STs) supported construct validity, explained 53.5% of the variance, and revealed two subscales: Pedagogy (I) and Professionalism (II). Concurrent validity resulted from a strong correlation (r_s = .83) between evaluators’ rubric averages and holistic ratings of performance. Inter-factor correlation (r = .65) confirmed discriminant validity. All groups exceeded the α ≥ .80 threshold for acceptable internal …

Understanding The Impacts Of Food Insecurity On Education Outcomes In Ohio, Maria El Biri, Sreya Tummalapalli

Scholarship in Medicine - All Papers

Background: Food insecurity has been a growing concern in the United States, and prior research has shown how food insecurity in youth can correspond to negative psychosocial outcomes. Additionally, there are known disparities with access to food based on living in rural or urban counties. Objective: The goal of this study was to determine how differences in food security can impact youth educational outcomes in Ohio. Methods: Data from County Health Rankings & Roadmaps were obtained on variables such as access to healthy foods, food insecurity, high school graduation rates, average grade performance, and percentage of the population living in …

Discrete Fourier Transform, Discrete Cosine Transform, And Applications In Compression, Peter T. Hoang, Navi T. Bountho, Kevin Gonzalez Ramon

SPARK Symposium Presentations

No abstract provided.

Observing Effects Of Social Isolation On Ethanol Preference In Carpenter Ants, Gregory Smith, Rivers Pope

SPARK Symposium Presentations

Alcohol consumption has been observed through humans and vertebrates for centuries to understand reward systems and behavior. Carpenter Ants, a social invertebrate model, have many similarities with humans including communication, stress-induced behavior, and structured societies. Past research has shown that Carpenter ants can have increased preference to ethanol and opioids in low concentrations. However, there has been little research on how isolation can influence ethanol preference. In this study, Carpenter Ants are separated into social and isolation groups over a five-day period and offered ethanol solutions alongside a natural sucrose diet to assess behavioral differences in preference for ethanol. It …

Rna-Sequence-Driven Identification Of Differentially Expressed Genes In Α-Crystallin-Deficient Zebrafish, Kehlie Hopper

SPARK Symposium Presentations

Fetal Alcohol Syndrome (FAS) is a condition that develops in infants when exposed to alcohol in utero, leading to physical impairments such as reduced eye size and disrupted retinal function. Alpha-crystallin A is a key structural protein required for proper lens development and maintenance of transparency, while Alpha-crystallin B plays a protective role against cellular stress during eye development. In this study, I compared AB wild-type (ABWT), αA-crystallin knockout (cryaa), and αB-crystallin knockout (cryaba) zebrafish to investigate how the loss of these proteins influences eye development under ethanol exposure. The cryaa mutants exhibited reduced eye size even under control conditions, …

A Sweet Spot For Chemotherapy: The Influence Of Insulin And Glucagon On Oxaliplatin Sensitivity In Colorectal Cancer Cells, Daniella Cohen, Andrea Florian

SPARK Symposium Presentations

There is a well-established relationship between cellular metabolism, cancer progression, and treatment response. Metabolic hormones such as insulin and glucagon regulate pathways involved in cell growth, survival, and stress responses and have been linked to tumor development and chemotherapy sensitivity. Understanding how metabolic signaling influences cancer treatment may provide insight into factors that affect therapeutic outcomes. This study aims to investigate how insulin and glucagon affect the susceptibility of colorectal cancer cells (CRC) to the chemotherapeutic agent oxaliplatin. CRC cells were treated with insulin or glucagon and exposed to varying concentrations of oxaliplatin. Cell viability was measured to evaluate treatment …

Murder On The Menu, Andrea Florian, Leslie Deleon, Angela Simpkins, Anamika Chhetri

SPARK Symposium Presentations

You're invited to a birthday party in Maryland! There will be many guests and even...seafood cuisine at a fancy restaurant! All is well until one of our guests comes down with a peculiar sickness. Do you think you can figure out what happened?

Honeymoon Horror Story, Andrea Florian, Aunalise Terreri, Kiley St. John, Sienna White

SPARK Symposium Presentations

On what was supposed to be a romantic honeymoon getaway, a newly married couple’s paradise quickly turns dark. The wife, Julia Harper, is found dead under mysterious circumstances, and suspicion falls on her neuroscientist husband. As lies unravel, investigators discover that this honeymoon was never about love, but revenge. In the end, all that’s left is betrayal and secrets…Can you solve this murder mystery?

The Last Ball, Andrea Florian, Lili M. Wrenne, Mehrael Adly, Jia Howell

SPARK Symposium Presentations

Sixty-year old, billionaire, Walter Spencer has been found dead at his annual birthday celebration. Guests reported odd behavior before he passed with wild mood swings, speaking gibberish, and experiencing hallucinations. Close friends of Walter say his young 25-year-old wife was the last to see him. Are you able to solve his mystery?

A Sweet Deception, Andrea Florian, Ellis Stafford, Bridget Mcloud, Awi Siam

SPARK Symposium Presentations

Have you ever wanted to be a detective and solve a murder? Well, here is your chance! Bradley Thompson, an investment banker at JP Morgan, was murdered in his home, and we are relying on you to piece together the toxicological clues and find his killer! This murder-mystery activity will involve selecting different toxicological tests and evaluating evidence to determine who committed this heinous crime.

Predicting Criminal Behavior In Major Us Cities, Madison A. Price

SPARK Symposium Presentations

In recent years, especially post pandemic, there has been a decrease in crime in the United States. Unfortunately, the country’s violent crime rates are still significantly higher compared to similar high-income countries, so what predicts crime in major American cities? There is tons of research to support the idea that demographics can offer some insight into predicting crime. There are countless online resources that seek to identify major crime centrals in the United States (Petrino, 2025). In the late 1990s, researchers noticed that crime rates in cities had a downward slope due to an important contributor: demographic change (Fox & …