Digital Commons Network^™

Identifying And Mitigating Api Misuse In Large Language Models, Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John Grundy, Xiaoning Du

Research Collection School Of Computing and Information Systems

API misuse in code generated by large language models (LLMs) presents a serious and growing challenge in software development. While LLMs demonstrate impressive code generation capabilities, their interactions with complex library APIs are often error-prone, potentially leading to software failures and vulnerabilities. In this paper, we conduct a large-scale study of API misuse patterns in LLM-generated code, analyzing both method selection and parameter usage across Python and Java, using three representative LLMs (StarCoder-7B, Qwen2.5-Coder-7B, and GitHub Copilot). Based on extensive manual annotation of 3,209 method-level and 3,492 parameter-level misuses, we identify and categorize four recurring misuse types by building on …

2026-03-01 Caudill Connection, Morehead State University. Caudill College Of Arts, Humanities And Social Sciences.

Caudill Connection

Caudill Connection newsletter for March of 2026.

2026 March, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for March of 2026.

"Where Art Thou?" Virtue, Duty, And The Voice Of/In Ethics In Jennifer A. Herdt's Assuming Responsibility: Ecstatic Eudaimonism And The Call To Live Well, Geoffrey Fulkerson

Pro Rege

Reviewed Title: Assuming Responsibility: Ecstatic Eudaimonism and the Call to Live Well by Jennifer A. Herdt. Oxford: Oxford University Press, 2022. 267 pp. ISBN: 9780192849205

The Health Of Latinos In Massachusetts: Inequality In Health Behaviors And Chronic Health Conditions, Phillip Granberry, Alejandro Alvarez, Florita Coto Tristán

Gastón Institute Publications

This report provides a portrait of adult Latino health in Massachusetts by exploring and describing selected social indicators and health outcomes. This report is a companion to a 2021 report on Latino children in the state, which found that Latino children are more likely to have asthma, be overweight, and show symptoms of anxiety and depression, and less likely to be engaged in physical activity when compared to Non-Latino children. The foregoing findings suggested that Latino children are not developing in an environment that promotes health behaviors compared to Non-Latinos in Massachusetts.v The collective health of Latinos is said group …

Latinos In Massachusetts: Puerto Ricans, Phillip Granberry, Florita Coto Tristán, Melissa Colón

Gastón Institute Publications

As part of the Gastón Institute’s 2025 Latinos in Massachusetts series, we present here a profile of Puerto Ricans, the largest Latino population in the state. This report analyzes Public Use Microdata Sample (PUMS) data from the 2023 American Community Survey (ACS), conducted by the U.S. Census Bureau. Our descriptive analysis uses both household- and individual-level data to estimate population size and percentages and to compare Puerto Ricans to Other Latinos and Non-Latinos in the state.

Rooted And Rising: A Case Study Of Chinese American Undergraduates' Career Pathways At A Pwi Post-Covid, Rebecca Yin-Chow Martinez

Theses & Dissertations

In the wake of the COVID-19 pandemic, Chinese American undergraduate students have navigated complex intersections of intergenerational expectations, racialized experiences, and evolving career aspirations within higher education. This qualitative case study explores how Chinese American undergraduate students at a predominantly white institution (PWI) choose their educational and career goals in a post-COVID climate. Guided by the Asian American Intergenerational Model of the Psychology of Working (AAIM), this study examines the influence of familial expectations, personal interests, institutional supports and barriers, and experiences of racism on students’ career decision-making processes. Data was collected through semi-structured interviews, a focus group, observations, Career …

Opencil: Benchmarking Out-Of-Distribution Detection In Class Incremental Learning, Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohuan Fang, Jin Zheng, Xiao Bai

Research Collection School Of Computing and Information Systems

Class incremental learning (CIL) aims to learn a model that can not only incrementally accommodate new classes, but also maintain the learned knowledge of old classes. Out-of-distribution (OOD) detection in CIL is to retain this incremental learning ability, while being able to reject unknown samples that are drawn from different distributions of the learned classes. This capability is crucial to the safety of deploying CIL models in open worlds. However, despite remarkable advancements in the respective CIL and OOD detection, there lacks a systematic and large-scale benchmark to assess the capability of advanced CIL models in detecting OOD samples. To …

Improving Credit Card Transaction Fraud Detection Using Cvqboosting, Bethel Hui Ting Loke, Nirvik Sahoo, Bingyan Guan, Minrui Xu, Dev Verma, Paul R. Griffin

Research Collection School Of Computing and Information Systems

This paper introduces a novel hybrid quantum-classical approach to credit card fraud detection using CVQBoost, a hybrid quantum-classical boosting algorithm executed on the photonic Dirac-3 processor from Quantum Computing Inc. (QCi). By integrating a diverse set of weak classifiers, which includes K-nearest neighbours (KNN), linear discriminant analysis, logistic regression, and XGBoost, within a hybrid quantum-classical ensemble, the proposed method demonstrates significant improvements over the latest published classical benchmarks. Experiments on a Kaggle credit card fraud dataset show that the quantum-enhanced model achieves a mean AUC-PR score of over 0.8, corresponding to an approximately 9% relative improvement over the best published …

Exploring Neural Network Structure Code Reuse In The Open-Source Community For Improving Maintenance, Xiaoning Ren, Yuekun Wang, Chongyang Liu, Yueming Wu, Qiang Hu, Lijun Zhang, Yinxing Xue

Research Collection School Of Computing and Information Systems

Neural networks (NNs) have rapidly advanced, demonstrating exceptional performance across various fields, leading to a surge in open-source NN projects. The complexity and rapid growth of these projects pose significant challenges for maintenance within the open-source community. Given that NN architecture code is the core asset of NN projects, understanding its reuse in the open-source community is essential for effective maintenance, such as reducing redundancy and identifying potential intellectual property violations. While prior studies have examined code reuse in open-source projects, they have two key limitations: They do not specifically address NN structure code, and they rely on manually selected …

Plm-Effector: Unleashing The Potential Of Protein Language Models For Bacterial Secreted Protein Prediction, Dandan Zheng, Lihong Chen, Guansong Pang, Jian Yang

Research Collection School Of Computing and Information Systems

Bacterial secreted proteins, particularly effectors delivered by specialized secretion systems, are key mediators of virulence and host-pathogen interactions. However, accurate computational identification remains challenging, as many existing methods rely heavily on sequence similarity or handcrafted features, and often focus on a single secretion system. Recent studies have reported that some bacterial effectors may be associated with more than one secretion system, highlighting the complexity of secretion system annotation and motivating the development of system-aware computational prediction approaches. Here, we present PLM-Effector, a hybrid deep learning framework that integrates modern protein language models (PLMs) with multiple neural architectures via a two-layer …

Navigation Beyond Wayfinding: Robots Collaborating With Visually Impaired Users For Environmental Interactions, Shaojun Cai, Nuwan Janaka, Ashwin Ram, Janidu Shehan, Yingjia Wan, Kotaro Hara, David Hsu

Research Collection School Of Computing and Information Systems

Robotic guidance systems have shown promise in supporting blind and visually impaired (BVI) individuals with wayfinding and obstacle avoidance. However, most existing systems assume a clear path and do not support a critical aspect of navigation—environmental interactions that require manipulating objects to enable movement. These interactions are challenging for a human–robot pair because they demand (i) precise localization and manipulation of interaction targets (e.g., pressing elevator buttons) and (ii) dynamic coordination between the user’s and robot’s movements (e.g., pulling out a chair to sit). We present a collaborative human–robot approach that combines our robotic guide dog’s precise sensing and localization …

Compositions Of Variant Experts For Integrating Short-Term And Long-Term Preferences, Dinh Hieu Do, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

In the online digital realm, recommendation systems are ubiquitous and play a crucial role in enhancing user experience. These systems leverage user preferences to provide personalized recommendations, thereby helping users navigate through the paradox of choice. This work focuses on personalized sequential recommendation, where the system considers not only a user’s immediate, evolving session context, but also their cumulative historical behavior to provide highly relevant and timely recommendations. Through an empirical study conducted on diverse real-world datasets, we have observed and quantified the existence and impact of both short-term (immediate and transient) and long-term (enduring and stable) preferences on users’ …

Addressing Graph Heterogeneity And Heterophily From A Spectral Perspective, Kangkang Lu, Yanhua Yu, Ruopei Guo, Nan Cheng, Zhiyong Huang, Yunshan Ma, Meiyu Liang, Yuling Wang, Xiting Qin, Yimeng Ren, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Graph Neural Networks (GNNs) face two key challenges, heterogeneity and heterophily, which often degrade performance. Existing approaches either focus narrowly on specific meta-paths, limiting their expressiveness, or are expressive but cannot effectively leverage higher-order neighbors. In this paper, we propose the Heterogeneous Heterophilic Spectral Graph Neural Network (H2SGNN), which combines local independent filtering to adaptively handle meta-path subgraphs with varying homophily ratios, and global hybrid filtering to capture high-order neighbor interactions with linear computational complexity. On five heterogeneous graph benchmarks—DBLP, ACM, IMDB, AMiner, and Yelp—H2SGNN consistently outperforms strong baselines, for example, achieving +1.0% Macro-F1 and +1.3% Micro-F1 on IMDB. It …

Global, Regional, And National Burden Of Breast Cancer Among Females, 1990–2023, With Forecasts To 2050: A Systematic Analysis For The Global Burden Of Disease Study 2023, Gbd 2023 Breast Cancer Collaborators Breast Cancer Collaborators, Kathryn H. Jacobsen

Health Studies Faculty Publications

Summary

Background

Methods

Institutional Cross-Ownership Of Peer Firms And Revelatory Price Efficiency, Young Jun Cho, Holly I. Yang, Yue Zhao

Research Collection School Of Accountancy

We argue that cross-ownership increases the amount of private information in stock price, enhancing the ability of stock price to provide feedback to managers. Consistent with this argument, we find greater cross-ownership heightens a firm’s investment-q sensitivity. This effect is stronger for firms with a lower propensity for voluntary disclosure and for firms whose managers hold less private information. Furthermore, we find that cross-ownership is negatively associated with the sensitivity of a firm’s investment to its peers’ stock prices. Additionally, cross-ownership has a stronger impact on the investment-q sensitivity when measured among investors who trade more actively the firm’s shares. …

Nature Versus Non-Natural Environments: Effects On Stress And Creativity, Amy J. Lim, Stephen M. Colarelli, Norman P. Li, Liqun Wei, Ming-Hong Tsai, Xiao-Xiao Liu, Mark Van Vugt

Research Collection School of Social Sciences

We examined the effects of nature-based environmental stimuli versus evolutionarily novel built or abstract art environments on creative production in three experiments. In Study 1 (N = 85), we compared people's creative performance in rooms set up to display either a natural or built landscape. In Study 2 (N = 62), participants completed creativity tasks after taking a walk in an urbanized city district or after a walk in a forested park. In Study 3 (N = 108), using a longitudinal field experiment taking place over three months, we examined the creative performance of factory employees by comparing their normal …

Using Large Language Models To Analyze Political Texts Through Natural Language Understanding, Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma

Research Collection School of Social Sciences

Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text-as-data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitative and quantitative approaches by using LLMs to interpret texts meaningfully rather than as mere data. Our ensemble means of LLM-generated estimates of party positions on six key issue dimensions correlate highly with equivalent mean ratings by country specialists. When …

When Stress Matters Most: Developmental Timing And Socio-Ecological Stressors Among Mexican-Origin Adolescents From Low-Income Immigrant Families, Ka I Ip, Wen Wen, Sujin Lee, Wei Xiang Sim, Su Yeong Kim

Research Collection School of Social Sciences

This study investigates the dynamic, time-varying associations between multiple socio-ecological stressors and internalizing symptoms among Mexican-origin youth from low-income immigrant families. Grounded in a socioecological framework and employing time-varying effect modeling (TVEM), we examine how stressors at the interpersonal, family, and neighborhood levels differentially influence anxiety and depressive symptoms across early adolescence (ages 11–13), middle adolescence (ages 14–17), and late adolescence/emerging adulthood (ages 18–20). Participants included 604 Mexican-origin adolescents (54% female) from low-income immigrant families, assessed across three waves spanning nine years. Five distinct stressors were identified: discrimination, foreigner stress, economic stress, language brokering stress, and neighborhood violence/non-safety. Results from …

Honing The Haptics Of The Heart: A New Defence Of The Perceptual Theory Of Emotion, Brandon Yip

Research Collection School of Social Sciences

According to the perceptual theory of emotion, emotions are evaluative perceptions. However, emotions involve us in a way that regular perception does not and this has led to two influential objections to the perceptual theory have emerged. According to the first objection, the perceptual theory is false because the phenomenology of emotion is the phenomenology of response. According to the second objection, the perceptual theory is false because emotions are susceptible to evaluations of rationality and reason-responsiveness. In this essay, I defend the perceptual theory by disarming these two objections. In response to the first objection, I suggest that emotional …

Success And Flourishing In Singapore: The Impact Of Laws And Policies On The Ethos And Character Of A People, Seow Hon Tan

Research Collection Yong Pung How School Of Law

According to virtue jurisprudence, good laws can be conducive to virtuous living; poor laws can contribute to character vices and entrench prejudices. This article focuses on what lies beyond the strict categorization of virtue and vice simpliciter—the ethos and mindset of a people. Using a case study of Singapore, this article examines how law, conceived of in the broadest sense as including policies chosen in a legal regime that leaves the concretization of policies to government bodies, can diminish the capacity and desire of individuals to live examined lives in pursuit of eudaimonia or flourishing. Insofar as living examined lives …

Knowledge Of Lifespan And Healthspan And Interest In Healthy Longevity Medicine Among The General Population In Singapore: The Singapore Healthy Longevity (Helo) Survey, Jonas John Posko Amalaraj, Belinda Wang, Anna Szucs, Louis Island, Laureen Yi-Ting Wang, Liz J. Horberg, Paul A. O'Keefe, Sonny Rosenthal, Yap-Seng Chong, Johannes J. Meij, Andrea B. Maier

Research Collection College of Integrative Studies

Given the growing global interest in Healthy Longevity Medicine (HLM), the field lacks understanding about public knowledge and interest, which are crucial for any public health intervention relying on HLM. This study presents findings from the Healthy Longevity (HELO) survey conducted in Singapore, assessing public knowledge regarding lifespan (number of years a person is alive), healthspan (number of years a person spends in good health), and interest in HLM. This nationwide cross-sectional survey, conducted between June and August 2024, involved 3034 participants. Main domains including questions on demographics, living arrangements, medical information, health behaviours, income and financial status were tested …

Asset: Scaling Authentic Science Education, Alexandra Forgerson, Carol Colaninno, Rachel Ruggirello, Doug Chalker

Institute for School Partnership: Research & Publications

The Washington University in St. Louis (WashU) Advancing Secondary Science Education through Tetrahymena (ASSET) program is a long-standing science education program that was initially developed at Cornell University and transferred to WashU in 2023. Funded through the National Institutes of Health (NIH) Science Education Partnership Award (SEPA), the ASSET program enhances STEM education by providing research-based, inquiry-driven learning experiences for K-12 students. The program integrates phenomenon-based storylines aligned with the Next Generation Science Standards (NGSS) to promote critical thinking and engagement among students. All ASSET learning experiences feature a living model organism, Tetrahymena, a single-celled protozoan that is safe and …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Barriers To Occupational And Physical Therapy Utilization For Children With Cancer, Maria C Swartz, Shiming Zhang, Donna Kelly, Clark R Andersen, Keri Schadler, Alakh P Rajan, Eduardo Gonzalez Villarreal, Stephanie J Wells, Amy Heaton, Karen Moody

Faculty, Staff and Student Publications

Introduction: Occupational and physical therapy (OT/PT) referrals and utilization barriers for childhood cancer patients have not been adequately examined. The current study investigated factors influencing referrals to and utilization of OT/PT services among children with cancer at an NIH-designated cancer center.

Methods: This retrospective cohort study included pediatric cancer patients (up to 18.99 years) presenting to the center over a 33.5-month period. Variables that could influence referrals to OT/PT were extracted from the electronic medical record (EMR) including OT and PT referrals (inpatient and outpatient), OT and PT consult completion, age at diagnosis, cancer type, sex, race/ethnicity, insurance, cancer treatment, …

A Comprehensive Biomechanical Material Characterization Of The Human Breast Fibro-Structural Support System, Aroj Bhattarai, Gregory P Reece, Kristy K Brock, Krishnaswamy Ravi-Chandar

Faculty, Staff and Student Publications

Breast surgery for aesthetic purposes, such as breast augmentation or breast reduction, and breast reconstruction after cancer treatment require an accurate structural (anatomical) and mechanical (functional) understanding of the breast components, including the fascial-ligamentous support system of the breast, to achieve optimal results. This paper aims to provide a comprehensive description of the mechanical behavior of the ligamentous and fascial connective tissues of the human female breast. Fasciae and ligaments obtained from 17 patients between 35 and 85 years of age who were undergoing mastectomy and three female cadavers were tested. Uniaxial tensile tests were conducted, and three constitutive models …

Fgl2-Knockout Tumor Cells Serve As A Vaccine Inducing Long-Duration Brain-Resident Memory T Cells That Reject Subsequent Intracranial Tumor Cell Challenges, Sheng Zhang, Yining Jin, Zhiliang Jia, Xueqing Xia, Yang Li, Qi Wang, Jing Wang, Jian Wang, Joya Chandra, Gregory K Friedman, Shulin Li

Faculty, Staff and Student Publications

The failure to prevent brain tumors, including both recurrent primary and metastatic brain tumors, is the primary cause of patients' mortality. We developed a novel whole tumor-cell vaccine to rapidly induce long-duration brain-resident memory T (TRM) cells that prevent brain tumor progression. Ten Fgl2-KO primary and metastatic tumor cell lines, generated via CRISPR/Cas9, were used to vaccinate mice and for intracranial challenges with the WT tumor cells. Not only did vaccinated mice reject these tumor cell challenges, but also more than half of these mice became long-duration survivors. Transplanting brain immune cells from vaccinated mice into naïve mice enabled this …

Educating To Exhaustion: Intention To Leave Among Us Full-Time Nursing Faculty, Jacqueline Christianson, Kathryn J. Malin, Jessica Leiberg, Lisa M. Grabert, Stephanie E. Moser, Jessica L. Zemlak

College of Nursing Faculty Research and Publications

AIM 

The aim of this study was to examine the relationships between work efforts and rewards with intention to leave and burnout among full-time nurse educators.

BACKGROUND 

The nursing faculty shortage is a contributor to the nursing shortage. Poor balance between work efforts and rewards may contribute to intention to leave.

METHOD 

A cross-sectional survey of US nurse faculty examined work efforts, rewards, burnout, and intention to leave. Structural equation modeling was used to evaluate the relationships among variables.

RESULTS 

Among 588 participants, efforts and rewards both had significant effects on burnout. Burnout and rewards had significant effects on intention …

Physical Fitness And Executive Functions In Early Childhood: A Systematic Review Of Recent Evidence, Nemanja Lakicevic, Marko Manojlovic, Elena Chichinina, Apollinaria Chursina, Kristina Tarasova, Ewan Thomas, Yuming Zhong, Antonino Bianco, Patrik Drid

Research outputs 2022 to 2026

Background Optimizing physical fitness (PF) and developing executive functions (EFs) is of great importance in preschool children. The link between PF, obtained through repetitive physical activity, and EFs is gaining increasing attention in recent years and we sought to systematically search the literature on the relationship between PF and EFs in preschool children published in the last five years. Methods Web of Science, Scopus, and PubMed were databases searched for the relevant literature. Original studies written in English and published in peer-reviewed journals including healthy children aged 3–6 years who were simultaneously tested for PF and EFs were considered eligible. …

Neutrophil Gelatinase-Associated Lipocalin And Neutrophil-To-Lymphocyte Ratio As Indicators Of Nephropathy In Type 2 Diabetic Mellitus Patients In Ghana: A Case-Control Study, Allwell Adofo Ayirebi, Wina Ivy Ofori Boadu, Stephen Twumasi, Samuel Kwarteng, Benedict Sackey, Lilian Antwi Boateng, Joseph Boachie, Samuel Essien-Baidoo, Daniel Nii Martey Antonio, John Agyemang Sah, Afua Marfowaa, Mayfair Adwapa Mpiani, Joachim Baba Domosie, Abiba Khalifah, Emmanuel Ekow Korsah, Ebenezer Senu, Eugene Arele Ansah, Joseph Yorke, Enoch Odame Anto

Research outputs 2022 to 2026

Introduction: Serum neutrophil gelatinase-associated lipocalin (sNGAL), a renal tubular marker, and neutrophil-to-lymphocyte ratio (NLR), a hematological inflammatory marker are two biomarkers that have recently received attention, because of their association with kidney disease. This study examined the diagnostic value sNGAL and NLR in type 2 diabetes mellitus (T2DM) patients with nephropathy. Materials and Methods: In this hospital-based case-control research, 97 T2DM participants and 70 healthy subjects were included. Participants' information was documented using a structured questionnaire and patient case records. Venous blood was drawn from each participant and early morning midstream urine samples were collected for blood and urine measurements …