Digital Commons Network^™

Enhancing Llm Code Generation: A Systematic Evaluation Of Multi-Agent Collaboration And Runtime Debugging For Improving Accuracy, Reliability, And Latency, Nazmus Ashrafi

Theses

The use of large language models (LLMs) for automated code generation has emerged as a significant focus within AI research. As these pretrained models continue to evolve, their ability to understand and generate complex code structures has opened up new possibilities for automating intricate programming tasks with greater accuracy. Although contemporary foundational models demonstrate promising results, researchers continue to explore optimal post-training strategies to enhance code quality. These include supervised fine-tuning, retrieval-augmented generation (RAG), debugging, and many others. In this thesis, I combine two such widely used post training approaches—namely (1) multi agent collaboration and (2) runtime execution of information-based …

The Heart Of The Crab: Analyzing The Vhe Emission From The Crab Pulsar, Adi Empie, Thao Nguyen, Avery Archer

Annual Student Research Poster Session

The Crab Nebula is one of the most studied astrophysical objects at very-high-energies (VHE) and is one of the brightest sources of VHE gamma-rays. The Crab Nebula is a pulsar wind nebula with the Crab pulsar providing the energy and particles to power the nebula. The gamma-ray emission from the nebula and pulsar are understood to come from relativistic particles but the processes that are responsible for accelerating these particles is not well understood. Studying the highest energy emission from the Crab Nebula can provide valuable insight into the underlying emission mechanisms at work. This project was intended to examine …

Weak Identification Of Long Memory With Implications For Volatility Modeling;, Jia Li, Peter C. B. Phillips, Shuping Shi, Jun Yu

Research Collection School Of Economics

This paper explores implications of weak identification in common ‘long memory’ and recent ‘rough’ approaches to modeling volatility dynamics of financial assets. We unveil an asymptotic near-observational equivalence between a long memory model with weak autoregressive dynamics and a rough model with a near-unit autoregressive root. Standard methods struggle to distinguish them, and conventional asymptotics are invalid. We propose an identification-robust approach to construct confidence sets that reveal the uncertainty and aid inference. Empirical studies based on realized volatility and trading volume often fail to statistically reject either model, thereby providing evidence of their potential coexistence.

Unpacking Singapore's Leasehold Relativity Table: An Empirical And Legal Analysis, Koon Shing Kwong, Jing Rong Goh, Seng Wei, Edward Ti

Research Collection School Of Economics

In Singapore, most land is state-owned, with the state generally issuing leasehold estates via state leases of not more than 99 years1, depending on the intended land use. Naturally, the value of a leasehold estate, which erodes over time as the lease approaches the end of its term, is a key component of the premium charged for lease renewals, or the tax imposed for permission given in relation to a development that would increase the value of the land. By law, the state valuation of leasehold land is prescribed by a leasehold relativity table colloquially known as ‘Bala’s Curve’ or …

Civil Liability For Invasions Of Privacy: Whither Singapore?, Yu Han Lam

Research Collection Yong Pung How School Of Law

Intrusions upon privacy are becoming increasingly common in Singapore. Singapore has yet to establish a tort addressing this issue, although the SAL Law Reform Committee has proposed a tort of misuse of private information. Australia has also recently introduced a statutory tort of serious invasion of privacy. This article will argue for the need for a Singapore tort of intrusion upon seclusion, on top of the already proposed tort of misuse of private information, to cover more appropriately instances of intrusions upon privacy.

Jet Impingement And Vortex/Swirl Cooling Of Different Inlet And Outlet Geometrical Configurations For Turbine Blade Leading Edge Cooling, Irfan Ahmad Sheikh

Dissertations

Gas turbine blades operate in extreme environments, exposed directly to high-temperature combustion gases that cause severe thermal stresses, weaken material integrity, and may lead to structural failure. Proper cooling is crucial to lower blade temperatures, reduce thermal stresses, prevent failure, and improve overall engine efficiency. This work presents a detailed numerical study of various cooling configurations by applying two advanced leading-edge cooling methods, jet impingement and swirl cooling, across different inlet mass flow rates and jet Reynolds numbers (Rej) ranging from 1,000 to 20,000 to evaluate their cooling performance.

Several advanced leading-edge cooling configurations are proposed and compared with the …

Iowa Waste Reduction Center Newsletter, October 2025, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Joe Bolick named NPPR Chair
--- Open House Party Recap
--- Green Brewery Certification has come to Missouri
--- Clear guidance, real results: IAEAP
--- AI training for Waste Partners

Spatial Patterns In Fish Assemblages Across Benthic Habitats Along The California Coast As Interpreted From Video Lander Surveys, Jacklyn Mohay

Capstone Projects and Master's Theses

Geographic differences in ecological communities often arise due to environmental gradients that influence physiological tolerances, species-specific habitat affinities, and various biological interactions. Fish assemblages in temperate upwelling systems, such as the California Current System (CCS), provide an ideal model system to examine these drivers of community structure. Within the CCS, demersal fish communities are often associated with certain benthic habitats, known as fish-habitat associations. To further explore where species are found in relation to certain habitats and location, I used data collected from analysis of stereo-video landers deployed from 2012-2021 to quantify fish-habitat associations across the California coast from Cordell …

Sigma Gamma Epsilon Chapter And Student Awards For Academic Year 2024–2025, Lee S. Potter

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The Society of Sigma Gamma Epsilon (SGE) encourages efforts to broaden the education and impact of its members through community outreach. In Academic Year 2024–2025, seven (7) awards were given at the chapter level: The Chapter Service Award to Gamma Sigma, Gamma Chi, and Epsilon Sigma; and The James C. Walters Quality Chapter Award to Gamma Sigma, Gamma Chi, Epsilon Sigma, and Theta Beta. Individual merit was recognized through the W. A. Tarr awards given to thirty-two members by their respective chapters. Two awards, the Austin A. Sartin and Charles J. Mankin Outstanding Poster Awards, were given to two students …

47th Biennial Convention Of Sigma Gamma Epsilon, Western Illinois University, April 11–13, 2025, Richard L. Ford, Lee S. Potter

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The Society of Sigma Gamma Epsilon (SGE), the national honorary society for the Earth sciences, held its 47th biennial convention (April 11–13, 2025) at the Quad Cities campus, located in Moline, Illinois, of Western Illinois University (WIU). The convention was hosted by SGE’s Delta Psi Chapter and the Department of Earth, Atmospheric, and Geographic Information Sciences at WIU. Ten (10) of SGE’s approximately 57 active collegiate chapters sent delegates to the convention. The traditional convention field trip, an exploration of the Paleozoic stratigraphy and economic geology of the Quad Cities area of Illinois and Iowa, made stops at the Fryxell …

The Compass - Volume 94 Issue 3 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

Rethinking Teaching Evaluation Reports: Designing Ai-Transformed Student Feedback For Instructor Engagement, Ruoxi Shang, Keri Mallari, Au Wei Bin Yeong, Ken Yasuhara, Anthony Tang, Gary Hsieh

Research Collection School Of Computing and Information Systems

Student feedback is critical for improving teaching, yet instructors often avoid reading evaluations due to emotional burden and information overload. We present a systematic exploration of how language models can distill and transform student evaluations into adaptive, actionable insights. Through a systematic design space exploration combining 4 feedback strategies (removing harmful content, paraphrasing criticism, sandwiching negatives, adding constructive suggestions) with 4 presentation formats (themes, cards, letters, chatbots), we created six AI-augmented prototypes of teaching evaluations. Interviews with 16 post-secondary instructors revealed that effective use of AI in feedback processing should: (1) support action formation through focused views and divergent thinking, …

Polymind: Parallel Visual Diagramming With Large Language Models To Support Prewriting Through Microtasks, Qian Wan, Jiannan Li, Huanchen Wang, Zhicong Lu

Research Collection School Of Computing and Information Systems

Prewriting is the process of generating and organising ideas before a first draft. It consists of a combination of informal, iterative, and semi-structured strategies such as visual diagramming, which poses a challenge for collaborating with large language models (LLMs) in a turn-taking conversational manner. We present Polymind, a visual diagramming tool that leverages multiple LLM-powered agents to support prewriting. The system features a parallel collaboration workflow in place of the turn-taking conversational interactions. It defines multiple ''microtasks'' to simulate group collaboration scenarios such as collaborative writing and group brainstorming. Instead of repetitively prompting a chatbot for various purposes, Polymind enables …

Assessing Credibility Of Open Access Journals For Scholarly Publishing, Daniel G. Kipnis

Library Workshops

Learning objectives:

• Learn the importance of open access publishing.
• Learn some strategies for identifying (top) journals for publication.
• Learn about what to look for in identifying and avoiding predatory publishers.
• Be introduced to resources to help with evaluating open access journals.

Description:

Scholarly publishing is an important part of a faculty member’s academic and scholarly life cycle. With the rise of digital publishing, however, it is important to have the tools and awareness to identify quality journals to publish in. In this workshop, attendees will learn what to look for in identifying and avoiding predatory publishers and will be introduced …

Better Digital Contracts With Prosocial Friction-In-Design, Brett Frischmann, Moshe Y. Vardi

Faculty Publications

Contract law is supposed to enable people to reach genuine agreements and cooperate. If this ideal was ever a reality, the rise of mass market contracts and boil­erplate rendered it pure fiction. Modern consumer contracts are incomprehensible to most people. No one reads them anyway.

Digital contracting involves design features that amplify traditional boilerplate harms and create others. For example, digital contracting is too cheap; low marginal costs lead to overexpansion in scale and scope. To make matters worse, the loss of autonomy from repeat engagement with digital contracting systems is pernicious. People become increasingly predictable and programmable as digital …

Contracting Around Treaties, Aaron Simowitz

Vanderbilt Journal of Transnational Law

No abstract provided.

Extraterritoriality In Ai: Harmonizing The Digital Market Act And Us Antitrust Law, Daniel Goicouria

Vanderbilt Journal of Transnational Law

No abstract provided.

A Comprehensive Pipeline For Autonomous Surface Vehicle Navigation In Challenging Aquatic Environments, Mingi Jeong

Dartmouth College Ph.D Dissertations

The primary objective of this thesis is to develop and validate innovative and robust navigation methods for autonomous surface vehicles (ASVs) in challenging scenarios. These efforts aim to establish a complete autonomy pipeline for robotic decision-making systems, enabling high-level tasks such as environmental monitoring and autonomous transportation with broader impacts. The ocean economy contributes over 1.5 trillion USD annually, supporting diverse cultures and economies through tourism, fisheries, shipping, and renewable energy. The global marine industry handles over 90% of the world’s cargo transportation, underscoring its critical importance. Despite this significance, current maritime navigation relies heavily on human decision-making, which is …

Uni Schedule Of Classes: Policies And Procedures, Fall 2025, University Of Northern Iowa

UNI Schedule of Classes

A listing and schedule of the courses being taught as well as policies and procedures concerning attending classes at the University of Northern Iowa.

Assessing Nursery Quality In Elkhorn Slough: Effects Of Hypoxia And Elevated Temperature On Two Juvenile Flatfish Species, Grace Teranishi

Capstone Projects and Master's Theses

Estuaries provide many important ecosystem services connecting the land and sea. For example, they act as nurseries by providing food, habitat, and refuge for juvenile fish that support economically valuable fisheries as adults. However, environmental and anthropogenic stressors, such as warming and hypoxia (i.e., low oxygen), have been linked with biodiversity loss, fish kills, and reduced fish growth, marking a major threat to the availability of high quality nurseries. This study evaluated spatial variation in environmental conditions and nursery function of distinct regions in Elkhorn Slough, a large eutrophic estuary on the Central California coast that supports juvenile flatfish populations …

Draft Final Butte Priority Soils Operable Unit (Bpsou) Insufficiently Reclaimed Sites Remedial Action Work Plan (Rawp): Bres No. 104 (Colorado Dump) North Slope, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Evaluating Dimensionality Reduction For Patient-Reported Outcome-Based Survival Modeling In Patients With Head And Neck Cancer, Eric Ababio Anyimadu, Yaohua Wang, Amy C Moreno, Clifton David Fuller, Xinhua Zhang, G Elisabeta Marai, Guadalupe M Canahuate

Faculty, Staff and Student Publications

Purpose: This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity across the treatment timeline and offer key insights for personalized care. However, their high dimensionality poses challenges such as overfitting and computational complexity. This work focuses on transforming and incorporating PRO data to enhance model performance in HNC.

Materials and methods: We analyzed retrospective data of 923 patients with HNC treated at the University of Texas MD Anderson Cancer Center between 2010 and 2021. Baseline clinical data including demographic, treatment, and disease characteristics …

A Comparative Study Of Clinically Used Fast Monte Carlo Dose Engines For Proton Therapy, Sherif M Gadoue, Narayan Sahoo

Faculty, Staff and Student Publications

Background: Several fast Monte Carlo (MC) codes have been implemented and used to simulate proton transport and calculate patient doses in proton therapy. The resulting dose is typically compared to full MC codes, rather than other fast MC codes.

Purpose: The primary goal of this study was to compare the gamma pass rates (GPRs) of dose calculation from different fast MC codes to evaluate the accuracy of the computation and modeling among these codes.

Methods: Two GPU codes and one CPU MC code were commissioned to model our clinical proton beamline at University of Texas MD Anderson Cancer Center. The …

Spherical Wave Expansion Coefficients For Radiation From A Planar Velocity Source, Blake E Simon, Mark F Hamilton

Faculty, Staff and Student Publications

A general theory for obtaining spherical wave function expansion coefficients for a sound beam transmitted by a planar velocity source is presented. By neglecting evanescent wave components and thus making the proposed method only approximate in the near field, it is shown that these coefficients can be obtained for any expansion point using just the normal velocity condition in the source plane. Additionally, simplifications are presented for axisymmetric sources. Results are compared with direct numerical evaluation of the Rayleigh integral for source conditions corresponding to a circular and rectangular piston. The present theory can be used in calculations of acoustic …

Consensus Recommendations For Hyperpolarized [1- 13c]Pyruvate Mri Multi-Center Human Studies, Shonit Punwani, Peder E Z Larson, Christoffer Laustsen, Jan Vandermeulen, Jan Henrik Ardenkjær-Larsen, Adam W Autry, James A Bankson, Jenna Bernard, Robert Bok, Lotte Bonde Bertelsen, Jenny Che, Albert P Chen, Rafat Chowdhury, Arnaud Comment, Charles H Cunningham, Duy Dang, Ferdia A Gallagher, Adam Gaunt, Yangcan Gong, Jeremy W Gordon, Ashley Grimmer, James Grist, Esben Søvsø Szocska Hansen, Mathilde Hauge Lerche, Richard L Hesketh, Jan-Bernd Hoevener, Ching-Yi Hsieh, Kayvan R Keshari, Sebastian Kozerke, Titus Lanz, Dirk Mayer, Mary Mclean, Jae Mo Park, Jim Slater, Damian Tyler, Jean-Luc Vanderheyden, Cornelius Von Morze, Fulvio Zaccagna, Vlad Zaha, Duan Xu, Daniel Vigneron

Faculty, Staff and Student Publications

MRI of hyperpolarized (HP) [1‐13C]pyruvate allows in vivo assessment of metabolism and has translated into human studies across diseases at 15 centers worldwide. To determine consensus on best practice for multi‐center studies for development of clinical applications. This paper presents the results of a two‐round formal consensus building exercise carried out by experts with HP [1‐13C]pyruvate human study experience. Twenty‐nine participants from 13 sites brought together expertise in pharmacy methods, MR physics, translational imaging, and data analysis with the goal of providing recommendations and best practice statements on conduct of multi‐center human studies of HP [1‐13C]pyruvate MRI. Overall, the group …

Dysregulated Sass6 Expression Promotes Increased Ciliogenesis And Cell Invasion Phenotypes, Eleanor Hargreaves, Rebecca Collinson, Andrew D Jenks, Adina Staszewski, Athanasios Tsalikis, Raquel Bodoque, Mar Arias-Garcia, Yasmin Abdi, Abdulaziz Al-Malki, Yinyin Yuan, Rachael Natrajan, Syed Haider, Thomas Iskratsch, Won-Jing Wang, Susana Godinho, Nicolaos J Palaskas, Fernando Calvo, Igor Vivanco, Tobias Zech, Barbara E Tanos

Faculty, Staff and Student Publications

Centriole and/or cilium defects are characteristic of cancer cells and have been linked to cancer cell invasion. However, the mechanistic bases of this regulation remain incompletely understood. Spindle assembly abnormal protein 6 homolog (SAS-6) is essential for centriole biogenesis and cilium formation. SAS-6 levels decrease at the end of mitosis and G1, resulting from APCCdh1-targeted degradation. To examine the biological consequences of unrestrained SAS-6 expression, we used a nondegradable SAS-6 mutant (SAS-6ND). This led to an increase in ciliation and cell invasion and caused an up-regulation of the YAP/TAZ pathway. SAS-6ND expression resulted in cell morphology changes, nuclear deformation, and …

Cancer-Associated Fibroblasts As Mediators Of Tissue Microenvironment Remodeling In Cancer, Fernanda G Kugeratski, Emily J Kay, Sara Zanivan

Faculty, Staff and Student Publications

Cancer-associated fibroblasts (CAFs) are a multifunctional cell population of solid tumors that substantially remodel the tumor microenvironment (TME). The combination of single-cell and spatial technologies with elegant mouse models and analysis of patient samples is enabling unprecedented advances in the characterization of CAF origins, heterogeneity, and functions within the TME. As such, the field is now evolving to delineate tissue-specific subpopulations of CAFs, their markers, and the biological context in which each subset presents with a tumor-promoting or a tumor-restraining function. In this timely review, we discuss recent advances in CAF biology in the context of emerging areas of interest …

Experimental Insights Into High Background Radiation: Reduced Cancer Risks In A Murine Model Study, S. M.J. Mortazavi, M. Arshadi, B. F. Baha'addini Baigy Zarandi, J. S. Welsh, H. Mozdarani, M. Haghani, N. Jooyan, S. Nematollahi, Negar Azarpira, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

Background: Natural background radiation varies geographically and has potential implications for cancer development. High-level natural radiation areas (HLNRAs), like Ramsar, Iran, offer unique opportunities to study the biological effects of radiation exposure. This study investigates the relationship between high background radiation and tumor progression in a murine model. Materials and Methods: Thirty-two C57BL/6 mice were exposed to varying levels of natural radiation (0.097 μSv/h to 9.24 μSv/h) for two months, simulating conditions in Ramsar. Mice were divided into four groups based on radiation intensity. After exposure, 1106 B16-F10 melanoma cells were injected subcutaneously, and tumor growth was monitored for 24 …

Recapitulating The Immune Microenvironment In Pediatric Brain Cancer: Preclinical Modeling Strategies., Adip G. Bhargav, Joseph S. Domino, David Akhavan, Jo Ling Goh

Manuscripts, Articles, Book Chapters and Other Papers

Primary brain and CNS tumors comprise the most common tumors in children and are the most common cause of cancer deaths in this population. Pediatric primary malignant brain tumors including high-grade glioma and medulloblastoma account for a significant proportion of these cancer deaths. Advances in the surgical management and adjuvant treatment paradigms have improved the prognosis of many patients with these tumors, but there remains a subset of treatment-resistant tumors or tumors with unique genetics aberrations and aggressive phenotypes that confer a poor prognosis. Immunotherapeutic strategies have demonstrated promise in pre-clinical studies and early clinical trials. However, high-fidelity evaluation of …

Mitochondrial Dysfunction And Lipid Dysregulation In Yeast Lacking Phosphatidylserine, Alaumy Joshi, Zakery N Baker, Rachel A Stanfield, Dimitris T Kalafatis, David J Pagliarini, Vishal M Gohil

2020-Current year OA Pubs

Mitochondrial membrane phospholipids impact mitochondrial structure and function by influencing the assembly and activity of membrane proteins. Although the specific roles of the three most abundant mitochondrial phospholipids, phosphatidylcholine (PC), phosphatidylethanolamine (PE), and cardiolipin (CL), have been extensively studied, the precise function of less abundant phosphatidylserine (PS) is not yet determined. Here, we used genetic and nutritional manipulation to engineer a set of yeast mutants, including a mutant completely devoid of PS, to assess its role in mitochondrial bioenergetics and lipid homeostasis. To circumvent the confounding effect of downstream PS products, PE and PC, we exogenously supplied ethanolamine that allows …