Digital Commons Network^™

Generalization Bounds For Rank‑Sparse Neural Networks, Antoine Ledent, Rodrigo Alves, Yunwen Lei

Research Collection School Of Computing and Information Systems

It has been recently observed in much of the literature that neural networks exhibit a bottleneck rank property: for larger depths, the activation and weights of neural networks trained with gradient-based methods tend to be of approximately low rank. In fact, the rank of the activations of each layer converges to a fixed value referred to as the “bottleneck rank”, which is the minimum rank required to represent the training data. This perspective is in line with the observation that regularizing linear networks (without activations) with weight decay is equivalent to minimizing the Schatten p quasi norm of the neural …

Design Principles For Customer‑Engaging Digital Service Systems: An Action Research Study, Keng Siau, Xiaofeng Chen, Xin Tan

Research Collection School Of Computing and Information Systems

Digital services represent a business approach employed by organizations to operate in the digital environment. However, systematic development guidelines for developing quality digital service systems are lacking in the literature. The authors identified four general challenges for developing and implementing customer-engaging digital service systems (CEDSS). By employing the method of canonical action research in a digital service system project, they derived 10 design principles for developing high-quality CEDSS. They empirically evaluated the design principles in the development project and through follow-up focus group sessions. The design principles provide applicable and actionable guidelines for the development of CEDSS.

Bias Testing And Mitigation In Llm-Based Code Generation, Dong Huang, Jie M. Zhang, Qingwen Bu, Xiaofei Xie, Junjie Chen, Heming Cui

Research Collection School Of Computing and Information Systems

As the adoption of LLMs becomes more widespread in software coding ecosystems, a pressing issue has emerged: does the generated code contain social bias and unfairness, such as those related to age, gender, and race? This issue concerns the integrity, fairness, and ethical foundation of software applications that depend on the code generated by these models but are underexplored in the literature. This paper presents a novel bias testing framework that is specifically designed for code generation tasks. Based on this framework, we conduct an extensive empirical study on the biases in code generated by five widely studied LLMs (i.e., …

A Rate-Dependent Coreset Selector For Continual Learning On Time-Varying Data Distributions, Zilin Luo, Zichen Tian, Yaoyao Liu, Qianru Sun

Research Collection School Of Computing and Information Systems

In this paper we review the concept of “phase” defined in Class-Incremental Learning (CIL), i.e., learning new classes while not forgetting old ones. Due to this design, classic CIL algorithms are mostly offline or can handle only intensive data distribution shifts across the phases. However, real-world data streams are often online, usually with uncertain or untraceable changes in their data distributions. To this end, we design the per-step distribution shifts by modeling the class sampling weights using bell-shaped curves. Such a design respects the rise-and-fall nature and presents realistic but underexplored challenges for CIL: 1) The data non-stationarity across steps …

Genscore: Agent-Based Short-Answer Question Generation And Scoring In Software Engineering Courses, Nguyen Binh Duong Ta, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Short-answer questions are commonly used in educational assessments, as they are often viewed as a more effective way than multiple-choice questions to determine whether students have achieved the intended learning outcomes. However, manually creating appropriate questions targeting different cognitive levels such as those defined by the Bloom’s Taxonomy, and grading text answers from students are not trivial tasks for instructors. Existing work on auto-question generation and scoring in computing education typically targets coding-based questions. However, in software engineering courses, assessments can extend beyond coding to understanding of processes, DevOps methodologies, system design, etc. This work aims to address the dual …

Pilot-C: Physics-Informed Low-Distortion Optimal Trajectory Compression, Kefei Wu, Baihua Zheng, Weiwei Sun

Research Collection School Of Computing and Information Systems

Location-aware devices continuously generate massive volumes of trajectory data, creating demand for efficient compression. Line simplification is a common solution but typically assumes 2D trajectories and ignores time synchronization and motion continuity. We propose PILOT-C, a novel trajectory compression framework that integrates frequency-domain physics modeling with error-bounded optimization. Unlike existing line simplification methods, PILOT-C supports trajectories in arbitrary dimensions, including 3D, by compressing each spatial axis independently. Evaluated on four real-world datasets, PILOT-C achieves superior performance across multiple dimensions. In terms of compression ratio, PILOT-C outperforms CISED-W, the current state-of-the-art SED-based line simplification algorithm, by an average of 19.2%. For …

Perception Of School Climate And Its Impact On The Language Acquisition Of El Students, John A. Starr Iii

LSU New Orleans Theses and Dissertations

Educators are grappling with the best way to support the influx of English Learners enrolling in schools. As the numbers of EL students continues to rise, school administrators are seeking the best approaches to address the needs of this subset of students. Additionally, research has shown the impact that school bonding has on the academic performance of native language students. Specifically, research has shown that students with a positive emotional connection to the teachers, peers, and the institution outperform those with less attachment to the school. The purpose of this study is to see if school climate and school bonding …

Application Of Natural Language Processing And Machine Learning For Analyzing Mining Accident Reports And Automating The Process Of Root Cause Analysis, Siddhartha Agarwal, Y. P. Chugh, Atul Singh, Vikram Sakinala, Ayan Mukherjee, Balbir Prasad, Cihan Dagli, Yuhao Zou

Engineering Management and Systems Engineering Faculty Research & Creative Works

Coal mining accidents are a major concern worldwide, necessitating effective safety measures and comprehensive analysis to prevent future accidents. Our proposed solution is the first attempt for Indian mines, inspired by the potential of Natural Language Processing (NLP) that can read and analyze vast repositories of accident records in seconds. In combination with machine learning (ML), NLP algorithms can extract unstructured text by eliminating manual data entry errors, reading poorly scanned reports, and understanding multiple versions of the event and cluster documents based on types that would otherwise take months to collate. In the case of accident records, it can …

Local Hydrodynamics And Phase Distribution In Large-Scale Trickle Bed Reactors Using Multi-Detector Γ-Ray Densitometry, Sebastián Uribe, Ahmed Jasim, Saba A. Gheni, Nora Selem, Nouhaila Filali, Tiberiu M. Leib, Sourav Sengupta, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study presents a new approach of using gamma ray computed tomography (CT) in a form of arc multi-detector γ-Ray Densitometry (Arc MD-GRD) Technique where it measures the line averaged holdups of the phases which are projected on the diameter of the column to obtain their diameter profiles. This technique then was used to investigate the diameter profiles of the phases' holdups in a 12-inch diameter trickle bed reactor (TBR) using sulfur hexafluoride (SF6) as the gas phase to represent to a certain extent the industrial higher density of the used gas phase due to either the type of the …

Dendrimer Gel Nanoparticles With Dual-Targeting Of Upar And Ribonucleotide Reductase R2 Influence Necrosis, Apoptosis, And Cell Cycle Arrest In Triple-Negative Breast Cancer, Hsin Yin Chuang, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited treatment options due to the absence of estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER2) receptors. We previously developed highly adaptable polyamidoamine (PAMAM) dendrimer-based gel nanoparticles (GDP-uPA/GTI) with dual-targeting capabilities against urokinase-type plasminogen activator receptor (uPAR) and ribonucleotide reductase R2 (R2) to achieve selective antitumor effects. In this study, we investigated the underlying mechanisms of GDP-uPA/GTI-induced tumor inhibition. In vivo, GDP-uPA/GTI significantly downregulated R2 expression and activated caspase 8 and caspase 3, indicating caspase-dependent apoptosis. Histological evaluation of major organs revealed no observable toxicity. …

Draft Genome Sequences Of Four Phosphate-Solubilizing Microbes Of The Family Burkholderiaceae Isolated From Tailings From The Former Pea Ridge Mine In Washington County, Mo, Usa, Prince Oppong Amoh, Abiodun E. Idowu, Elizabeth R. Grube, Melanie R. Mormile, Hunter W. Schroer

Biological Sciences Faculty Research & Creative Works

We present draft genome sequences of four Gram-negative phosphate-solubilizing microbes isolated from Pea Ridge Mine tailings in Missouri, USA. Belonging to the family Burkholderiaceae, these isolates exhibit a phosphate-mineral-dissolving phenotype in liquid and solid cultures. Genome sizes span 5.6–9.7 Mb, with GC contents of 61.6%–67.0%.

A Narrative Review On Artificial Intelligence In Neurosurgery: Ethical Challenges And Implementation Considerations, Tirath Patel, Hamza Yousuf Ibrahim, Fathimathul Henna, Fatima Nasir, Abbas Hussain, Rahma Naveed, Aziz Ur Rehman, Syeda Ramish Zehra Kazmi, Bhum Daishik Patel, Nikhilesh Anand

School of Medicine Publications

Introduction: Artificial intelligence (AI) is revolutionizing neurosurgery by enhancing diagnostic precision, surgical planning, and postoperative management. However, its integration raises ethical concerns related to bias, privacy, accountability, and the potential dehumanization of healthcare. This review focuses on navigating these challenges while maximizing AI's potential in improving patient care.

Methodology: A narrative review was conducted by identifying studies from PubMed, Cochrane Library, and Google Scholar databases. The search utilized the following keywords: "artificial intelligence," "neurosurgery," "machine learning," "data privacy," "robotic surgery," "ethics," and "bias." The review primarily focused on issues of dataset bias, data privacy, and the need for transparency and …

Learning-Assisted Schedulability Analysis: Opportunities And Limitations, Sanjoy Baruah, Pontus Ekberg, Marion Sudvarg

Computer Science Faculty Research & Creative Works

We present the first (to our knowledge) Deep-Learning based framework for real-time schedulability-analysis that guarantees to never incorrectly mis-classify an unschedulable system as being schedulable, and is hence suitable for use in safety-critical scenarios. We relate applicability of this framework to well-understood concepts in computational complexity theory: membership in the complexity class NP. We apply the framework upon the widely-studied schedulability analysis problems of determining whether a given constrained-deadline sporadic task system is schedulable on a preemptive uniprocessor under both Deadline-Monotonic and EDF scheduling. As a proof-of-concept, we implement our framework for Deadline-Monotonic scheduling, and demonstrate that it has a …

Catalytic Synthesis Of Iron-Doped Graphitic Aerogels From Poly(Phloroglucinol-Terephthalaldehyde – Urethane) Precursors, Stephen Yaw Owusu, Rushi U. Soni, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

We report a new class of graphitic carbon aerogel precursors based on iron oxide-doped poly(phloroglucinol-terephthalaldehyde–urethane) (T-POL/PU-FeOx) networks. The hybrid polymeric network incorporates a rigid aromatic triisocyanate, tris(4-isocyanatophenyl)methane, which reacts in situ with the hydroxyl groups of phloroglucinol to form a polyurethane-containing framework. Monolithic aerogels derived from this system undergo catalytic graphitization at significantly reduced temperatures (800–1500 °C) compared to conventional graphitization (2500–3300 °C). An oxidative ring fusion aromatization step (240 °C, air) prior to pyrolysis enhanced the degree of graphitization. The resulting graphitic aerogels were characterized by XRD, Raman spectroscopy, TGA, TEM, SEM, XPS, and N₂ sorption porosimetry. Compared to …

Quasi-Judicial: A History And Tradition, Beau J. Baumann, Jed Handelsman Shugerman

Faculty Scholarship

In challenging the historical assumptions underlying the unitary executive theory, scholars have made several seemingly unrelated discoveries. First, "judicial" power was conceived in English law as a subset of "executive" authority. Second, Congress at or near the Founding insulated certain court-like comissions from presidential control. Finally, the "quasi-judicial" and "quasi-legislative" powers that were central to the holding of Humphrey's Executor flowed from a forgotten nineteenth-century legal tradition was guiding Congress's construction of the modern state. This Essay connects these findings into a single claim: generations of American stretching back past the Founding have instinctively insulated administrators granted quasi-judicial functions from …

Presidential Removal As Article I, Not Article Ii, Gary Lawson, Jed Handelsman Shugerman

Faculty Scholarship

As a matter of original public meaning, Article I’s Necessary and Proper clause is the starting point for both Congress’s power to create offices and the limits on that power.

We believe that many legal scholars have demonstrated that, as a matter of original public meaning, the term “executive power” did not imply a presidential removal power, and Article II did not imply an indefeasible (unconditional) presidential removal power. By contrast, Article I’s Necessary and Proper Clause is a basis for limiting congressional power that is more historically grounded in original public meaning and in early practice. Tenure protections and …

Applying Entrustable Professional Activities Across Emergency Medicine Medical Education Fellowships: A Cross-Institutional Commentary, Carrie Maupin, Ambika Anand, Danielle Nesbit, Casey Morrone, Danielle Sultan

Department of Emergency Medicine Faculty Papers

No abstract provided.

Do Patient-Important Outcomes Differ By Care Setting? Findings From Semi-Structured Interviews With Individuals With Diabetes, Amy Cunningham, Alexzandra Gentsch, Pouya Arefi, Judd E. Hollander, Marianna D Lanoue, Amanda M. B. Doty, Geoffrey Mills, Brendan Carr, Kristin L. Rising

Department of Emergency Medicine Faculty Papers

Background: Patient-important outcomes (PIOs) reflect patient values and preferences. Prior studies have elicited a variety of PIOs for diabetes. However, no studies have examined whether, or how, PIOs differ across diabetes care settings. The purpose of this study was to compare the frequencies of PIOs derived from patients with diabetes in primary care (PC), acute care (emergency department (ED)), and post-acute care (post-hospital discharge (PHD)) settings within a large delivery system. Methods: This study was an analysis of 89 interviews with patients in PC, ED, and PHD settings. Participants had moderately to poorly controlled diabetes, defined as follows: presented to …

2025-12-01 Course Proposal / Course Suspension / Deletion Forms, Morehead State University. Faculty Senate., University Graduate Committee.

Faculty Senate Records

Course proposal, suspension, and deletion forms approved on December 1, 2025 by the University Graduate Committee.

Characterization Of Water Intake And Water Conversion Ratio For Male And Female Broilers From Four Commercial Broiler Lines Reared To Eight Weeks Of Age, J.Z. Hiltz, C.W. Maynard, T.W. Tabler, M.A. Maquesda, K.M. Shafer, K.B. Nelson, M.T. Kidd, N.B. Anthony, S.K. Orlowski-Workman

Poultry Science Faculty Publications and Presentations

Increased interest and investigation into the sustainability of broiler production has led to a need for reliable and repeatable means to measure water intake and its conversion rate into salable meat. Therefore, a study was conducted to characterize the water intake and water conversion ratio (WCR) of male and female broilers from four modern broiler strains. Two of these lines represented fast growing broiler strains (FGB A and FGB B) targeting a small bird market and two represented high yielding broiler strains (HYB A and HYB B). Three replicates of 25 sexed broilers from each line were placed into 24 …

Farm Efficiency And Precision Agriculture Technology, Chad Fiechter, Brady Brewer, Jennifer Ifft, Michael Boehlje

Department of Agricultural Economics Faculty Publications

Precision agriculture technology (PAT) is often viewed as a potential driver of future efficiency gains in farming. Using within-farm variation from an unbalanced panel of Kansas farms, this study examines the impact of PAT bundles on efficiency in generating gross revenue. On average, we find little evidence that these technologies improve efficiency. However, among less efficient farms, several bundles are linked to notable efficiency gains, underscoring the importance of accounting for farm heterogeneity.

Constitutional Obiter Dicta On Male-Male Sex And Fundamental Rights In Singapore, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

The Singapore Court of Appeal held a law prohibiting male–male sexual intercourse (s 377A of the Penal Code) unenforceable on non-rights-based grounds. The court's remarks about the rights to life and liberty (including whether sexual orientation is mutable), freedom of expression, and equality are obiter. But they are significant, since in Singapore, there are few constitutional rights cases and the courts focus on spelling out the limits to executive and legislative power without necessarily striking down exercises of such power on rights grounds. Indeed, the obiter dicta prompted the Legislature to repeal s 377A. Given the repeal, the obiter dicta …

Copyright Ownership And Duration Of Ai-Authored Works, Cheng Lim Saw

Research Collection Yong Pung How School Of Law

On the assumption that Parliament has endorsed the notion of AI authorship and the prospect that copyright may well subsist in works created autonomously by the AI itself, this essay further explores allied issues surrounding the ownership and duration of copyright in AI-authored works.

The Problem With The Pursuit Of Pleasure And Why It Isn’T The Same As Joy, Seow Hon Tan

Research Collection Yong Pung How School Of Law

One is fleeting and depends on circumstances, the other comes from persevering in what one values and loving others.

Building A Restructuring Hub: Lessons From Singapore, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

This article seeks to analyze the legal, market, and institutional features needed to become an international hub for debt restructuring. To that end, it examines the strategy adopted by Singapore as well as the market and institutional factors generally found in other leading legal and financial centers such as the United States, the United Kingdom, and Hong Kong. It is argued that in jurisdictions that have traditionally had creditor-oriented insolvency systems, such as Singapore, the United Kingdom, and Hong Kong, one of the primary challenges when enhancing the restructuring framework for debtors is ensuring that the insolvency system remains protective …

Freshwater Turtle Assemblages And Densities In Agricultural Ditches And Aquaculture Ponds Of Eastern Arkansas, Andrhea D. Massey, John D. Willson, Brett A. Degregorio

Biological Sciences Faculty Publications and Presentations

The Mississippi Alluvial Plain (MAP) of Arkansas is a landscape where many wetlands have been altered for use as aquaculture ponds or agricultural ditches. Commercial harvest of freshwater turtles within the MAP is not restricted or limited, with reported harvest numbers for 2019 alone exceeding 4000 for spiny softshell turtles (Apalone spinifera) and 39,000 for red-eared sliders (Trachemys scripta elegans). Herein, we attempt to provide baseline estimates of freshwater turtle densities and community composition in aquaculture ponds and agricultural ditches of eastern Arkansas, the habitat types most frequently trapped by commercial harvesters. We used a capture-mark-recapture approach over 3 summers …

Presenteeism Among Health Care Personnel With Covid-19, James C. Crosby, Eliezer Santos Leon, Brian Chinnock, Karisa K. Harland, Anusha Krishnadasan, Nicholas M. Mohr, Ian D. Plumb, Melissa Briggs Hagen, Kelli Wallace, David A. Talan, Anne Zepeski, Tracy Young, Howard A. Smithline, Lilly C. Lee, Stephen C. Lim, Gregory J. Moran, Mark T. Steele, David G. Beiser, John P. Haran, Peter C. Hou, Brett Faine, Utsav Nandi, Walter A. Schrading, Anne Chipman, Frank Lovecchio, Alysia Powers, Lisandra Uribe, Kavitha Pathmarajah, Dean M. Hashimoto, Chloe Namias, Efrat Kean, Elizabeth Krebs, Amy Stubbs, Sara Roy, Lucia Solis, Mary Mulrow, Nathan Graff, Jillian M Tozloski, William Mower, Jacqueline Caldera, Michelle Huber, Jacob Hampton, Abigail Lopes, Katherine Elkort, Stephanie A. Eucker, Carla Kingsbury, Jonathan Femling, Silas Bussmann, Jane Yee, Joseph Stuppy, Richard E. Rothman, Gaby Dashler, Marcel E. Curlin, Mastura Wahedi, Laurie Kemble

Department of Medicine Faculty Papers

IMPORTANCE: Presenteeism-defined as continuing to work during an illness-poses a public health risk in the workplace and is especially hazardous within health care institutions where vulnerable patients may be exposed to nosocomial infections. Understanding the frequency and characteristics of health care personnel (HCP) who report presenteeism while ill with COVID-19 may help mitigate SARS-CoV-2 spread in hospitals and other health care institutions.

OBJECTIVES: To determine the frequency of presenteeism among HCP with symptomatic COVID-19, and to evaluate the demographic, occupational, and clinical factors associated with it.

DESIGN, SETTING, AND PARTICIPANTS: This is an observational cohort study that uses data from …

When 'More Isn't More': The Normative And Practical Case For Improving Genetic Data Infrastructure, Sofia Labrecque, Jonathan Lawson, Bronwyn Danielle Walsh, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Association Of Area Deprivation Index With Perinatal And Covid-19 Outcomes During The Early Pandemic: A Secondary Analysis Of A Prospective Cohort Study, Abigail Bell, Megan Foeller, Candice Woolfolk, Emily Diveley, Fan Zhang, Amy Scheffer, Ruizhi Huang, Daniel Jackson, Nandini Raghuraman, Ebony Carter, Indira U Mysorekar, Jeannie C Kelly

Center on Aging Staff Publications

Objective: We sought to evaluate the relationship between neighborhood-level deprivation and perinatal outcomes, particularly preterm birth, as well as COVID-19 outcomes among pregnant patients during the early pandemic.

Methods: We performed a secondary analysis of a prospective longitudinal cohort study that investigated the impact of prenatal COVID-19 exposure on perinatal outcomes. Pregnant patients were recruited 12/23/20-7/18/22 and serially assessed for COVID-19 exposure during pregnancy, with serum antibody testing, electronic medical record review, and patient report. For this secondary analysis, address at the time of delivery was used to categorize patients into low ADI (≤50th percentile Area Deprivation Index, indicating low …

Rise Of Social Media Hacking: Ai-Based Ip Tracking For Uae Law Enforcement, Mounikha Naarrayen Chakravarthula

Theses

Social media has evolved into a critical channel for communication, expression, and public influence, but it has also become a prevalent avenue for cybercrime, particularly in digitally advanced nations such as the United Arab Emirates (UAE). The rising complexity of online offences, coupled with anonymisation tools and cross-border digital behaviour, has made the attribution of social-media-based cyber incidents increasingly challenging for law enforcement. In this context, artificial intelligence (AI) offers the potential to strengthen digital investigations by providing intelligent, scalable, and evidence-driven attribution capabilities. This research develops an AI-assisted Internet Protocol (IP) attribution framework tailored specifically for UAE law enforcement …