Digital Commons Network^™

It's All In The (Exponential) Family: An Equivalence Between Maximum Likelihood Estimation And Control Variates For Sketching Algorithms, Keegan Kang, Kerong Wang, Ding Zhang, Rameshwar Pratap, Bhisham Dev Verma, Benedict Wong

Faculty Conference Papers and Presentations

Maximum likelihood estimators (MLE) and control variate estimators (CVE) have been used in conjunction with known information across sketching algorithms and applications in machine learning. We prove that under certain conditions in an exponential family, an optimal CVE will achieve the same asymptotic variance as the MLE, giving a fixed point algorithm for the MLE. Experiments show the fixed point algorithm is faster and numerically stable compared to other root finding algorithms for the MLE for the bivariate Normal distribution, and we expect this to hold across distributions satisfying these conditions. We show how this algorithm leads to reproducibility for …

Administrative Leadership, Job Resources, And Teacher Burnout In U.S. Middle Schools: A Jd-R Study, Santerous Glenn Colbert

Walden Dissertations and Doctoral Studies

No abstract provided.

Using Individual Vs. Group Evaluation To Incentivize Effort For Heterogeneous Groups, Prasart Jongjaroenkamol

Research Collection School Of Accountancy

This study uses an analytical model to examine how individual and group performance evaluations affect motivation among agents with different abilities. While group evaluations encourage collaboration, they also introduce uncertainty. The results reveal a non-monotonic relationship between the weight assigned to group evaluations and motivation: motivation increases at moderate weights but decreases when the weight is too low or high. The study also identifies the optimal weighting between evaluation types to maximize motivation and examines factors influencing these allocations. These insights demonstrate how evaluation design shapes effort incentives and inform performance measurement and assessment practices in organizational and educational contexts.

The Due Diligence That Investors In Family Businesses Must Not Skip, Yuanto Kusnadi, Kenneth T. Goh

Research Collection School Of Accountancy

In a commentary, SMU Associate Professor of Accounting (Education) Yuanto Kusnadi and Kenneth Goh, Director of Private Wealth Management at UOB Kay Hian, opined that minority shareholders should understand the specific risks highlighted in company filings. They noted that the greatest risk of investing in a family-controlled company lies not only in its business performance, but also in how controlling families exercise their influence. While Singapore's regulatory framework provides safeguards for minority shareholders, these protections are not foolproof. However, they require significant transactions to be disclosed and give minority shareholders a voice, provided they review the circulars and exercise their …

Larger Is Not Always Better: Exploring Small Open-Source Language Models In Logging Statement Generation, Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Developers use logging statements to create logs that document system behavior and aid in software maintenance. As such, high-quality logging is essential for effective maintenance; however, manual logging often leads to errors and inconsistency. Recent methods emphasize using large language models (LLMs) for automated logging statement generation, but these present privacy and resource issues, hindering their suitability for enterprise use. This paper presents the first large-scale empirical study evaluating small open-source language models (SOLMs) for automated logging statement generation. We evaluate four prominent SOLMs using various prompt strategies and parameter-efficient fine-tuning techniques, such as Low-Rank Adaptation (LoRA) and Retrieval-Augmented Generation …

Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Android applications (i.e., apps) are indispensable nowadays and are getting bigger and bigger with an increasing number offunctionalities. To understand how to access functionalities in an app, prior studies proposed tools to model the transitionsbetween functionalities with the activity transition graph (ATG). ATG is an important data structure and has been used forvarious Android app analyses, including app design, understanding, and testing. However, there is no benchmarking work onATG generation. It is still unclear whether the transitions identified by tools are correct and how many transitions are missed.To fill this gap, we manually identified all transitions in 98 applications to …

Multimodal Contrastive Spatiotemporal Self-Organizing Neural Networks For In-Home Activity Learning Of Mild Cognitive Impairment, Seng Khoon Teh, Ah-Hwee Tan, Kar Way Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

In-home spatiotemporal data, such as the movement trajectory data and the spatial time series data, contains potential predictive utility for detection of geriatric conditions including Mild Cognitive Impairment (MCI), frailty, and cognitive frailty. However, few have explored spatiotemporal learning models for learning and fusion of such disparate spatiotemporal data, owing to the lack of a generalized machine learning model that can jointly model these different spatiotemporal data types. This work reports a multimodal spatiotemporal machine learning model based on a class of self-organizing neural networks that can integrate different spatiotemporal data types for MCI detection. Specifically, Episodic Memory Adaptive Resonance …

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning, Brahmanage Janaka Chathuranga Thilakarathna, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential decision-making using Markov Decision Process underpins many real-world applications. Both model-based and model-free methods have achieved strong results in these settings. However, real-world tasks must balance reward maximization with safety constraints, often conflicting objectives, that can lead to unstable min–max, adversarial optimization. A promising alternative is safety reachability analysis, which precomputes a forward-invariant safe state–action set, ensuring that an agent starting inside this set remains safe indefinitely. Yet, most reachability-based methods address only hard safety constraints, and little work extends reachability to cumulative cost constraints. To address this, first, we define a safety-conditioned reachability set that decouples reward maximization …

Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in safety-critical applications such as logistics, surveillance, disaster response, and urban air mobility. While their autonomy enables powerful capabilities, it also introduces vulnerabilities due to hardware faults, software defects, communication failures, and adversarial interference. This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources. We introduce a unified five-pillar taxonomy—anomaly generation, prevention, detection, recovery, and analysis—that organizes existing work across the full anomaly management lifecycle. In contrast to prior surveys that focus primarily on detection algorithms, …

Co-Matching: Towards Human–Model Collaborative Legal Case Matching, Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent efforts have aimed to improve AI models in legal case matching by integrating legal domain knowledge. However, successful legal case matching requires the tacit knowledge of legal practitioners, which is difficult to verbalize and encode into models. This emphasizes the crucial role of involving legal practitioners in high-stakes legal case matching. To address this, we propose a collaborative matching framework called Co-Matching, which encourages both the model and the legal practitioner to participate in the matching process, integrating tacit knowledge. Unlike existing methods that rely solely on the model, Co-Matching allows both the legal practitioner and the model to …

New Algorithms For Fully-Dynamic K-Center With Outliers, Junyu Huang, Zhize Li, Zhen Zhang, Xujia Li, Jianxin Wang, Qilong Feng

Research Collection School Of Computing and Information Systems

In this paper, we study the fully dynamic k-center with outliers problem, where points are inserted and deleted over time and the goal is to maintain an approximate clustering while discarding up to z outliers. Existing algorithms typically rely on radius guessing to maintain cluster representations, leading to update and query times that depend explicitly on the aspect ratio Δ. We propose a layered-sampling framework that avoids radius guessing by maintaining a hierarchy of sampled structures, which can separate most inliers from potential outliers and refine the remaining uncertain points. The resulting algorithm achieves Õ(k²/ε⁴) update and query time independent …

Myelomalacia Severity On Preoperative Magnetic Resonance Imaging Does Not Predict Patient-Reported Outcomes After Anterior Cervical Discectomy And Fusion, Mitchell K. Ng, Joshua Mathew, Robert J. Oris, Yulia Lee, Jonathan Dalton, Gregorio Baek, Ashley Thommana, William A. Green, Yasmine Eichbaum, Morgan Hitchner, Brandon Martinazzi, Ali Farooqi, Alec Giakas, Paul Gunter, Vinay Bijoor, Andrew Vanchikorn, John J. Mangan, David I. Kaye, Mark F. Kurd, Thomas Cha, Jose A Canseco, Alan S. Hilibrand, Alexander R. Vaccaro, Christopher K. Kepler, Gregory D. Schroeder

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN/SETTING: Retrospective cohort study.

BACKGROUND: Signal changes within the spinal cord on magnetic resonance imaging (MRI) or myelomalacia, are frequently seen in patients with cervical myelopathy. While often assumed to predict the outcomes, their prognostic value remains uncertain. Therefore, this study aimed to: (1) describe the clinical characteristics of patients with myelomalacia undergoing Anterior cervical discectomy and fusion (ACDF); (2) evaluate whether MRI findings correlate with patient-reported outcomes (PROMs); and (3) determine whether morphology predict recovery.

METHODS: A retrospective review at a single tertiary care center was performed (2014-2021). Patients were included if they underwent a primary elective ACDF …

Transforaminal Endoscopic Lumbar Decompression: Defining Its Scope And Limitations, Kai-Uwe Lewandrowski, Álvaro Dowling, Jun Ho Lee, Benedikt W Burkhardt, Óscar L. Alves, Avelino Parajón, Jorge Felippe Ramirez, Nicola Montemurro, Alex R. Vaccaro, Morgan P. Lorio

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: Transforaminal endoscopic lumbar decompression (TELD) has emerged as a minimally invasive alternative for managing lumbar stenosis and disc herniations. While the literature consistently reports favorable outcomes, real-world adoption remains variable, with discrepancies often linked to surgeon experience and case complexity.

OBJECTIVE: To evaluate surgeon perspectives on the clinical applicability of TELD across different pathologies and compare these findings with published evidence.

METHODS: An international cross-sectional survey was conducted among spine surgeons. Responses were analyzed using Rasch modeling to assess consensus levels, with agreement categorized as strong, moderate, weak, or disagreement. Differential Item Functioning (DIF) and correlation analyses were applied …

Committee Response To Fee Objection

Catholic Dioceses in Bankruptcy

No abstract provided.

Insurance Type And Menopausal Hormone Therapy Use Among Us Women, Arina Chesnokova, Sunni Mumford, Allison Schachter, Rebecca Hamm, Scott Lorch, Matthew Klebanoff, Sarah Lindley, Erika Harness, Makeba Williams, Marilyn Schapira

Student Papers, Posters & Projects

IMPORTANCE: Access to menopausal hormone therapy (MHT) in the US remains low. Understanding whether insurance type is associated with MHT underuse and racial disparities in menopausal care is critical for designing interventions that increase evidence-based and equitable menopause care.

OBJECTIVE: To examine whether Medicaid compared with private insurance is associated with lower MHT use among US women. A secondary objective explored the degree that payer type is associated with observed racial differences in MHT use.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used the 2013-2014, 2015-2016, and 2017-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) to identify …

From Crisis To Capability: The Evolution Of Leadership Models And Essential Competencies In The Post-Pandemic Era, Mimi Bekele

School of Education and Leadership Student Capstone Theses and Dissertations

The COVID-19 pandemic created unprecedented challenges for organizations and leaders, requiring rapid responses to uncertainty. This qualitative study examined how leadership models evolved in response to lessons learned during the COVID-19 pandemic and identified the knowledge, skills, and abilities (KSAs) essential for effective leadership in a post-pandemic environment, guided by Heifetz's Adaptive Leadership Theory. Chapter 2 situated the study within four leadership models: situational, skills, transformational, and adaptive. It also examined three pandemic-era drivers of workplace change: the multigenerational workforce, the Great Resignation, and employee mental health. Chapter 3 employed a mixed-methods design consisting of a survey of 43 respondents …

Barriers Or Bridges? Analyzing The Role Of Admissions Criteria In Shaping Access To Law School, Meghan Donnelly

School of Education and Leadership Student Capstone Theses and Dissertations

Law school admissions processes play a pivotal role in shaping access to the legal profession, yet their reliance on standardized metrics such as the Law School Admission Test (LSAT) and undergraduate grade point averages (GPAs) continues to raise concerns about equity. This study examines how admissions evaluation practices influence access to law school and explores alternative approaches that may better support equitable outcomes.

Using a mixed methods approach, this study draws on the experiences and perspectives of law school applicants and law school admissions professionals to assess perceptions of equity, accessibility, and opportunity within the law school admissions process. Particular …

I Didn’T Think Teaching Was For Me: An Autoethnography Of Teaching Other People's Children, Jaquinetta Mitchell

School of Education and Leadership Student Capstone Theses and Dissertations

This autoethnographic study examines how the cooperating teacher-student teacher relationships shapes professional identity, culturally responsive practice, and long-term teaching efficacy, particularly when preparing educators to work with students of color. Drawing on my own reflective narrative as a Black woman who navigated a predominantly White teacher preparation program and entered the profession inadequately prepared to serve diverse students, alongside three rounds of data collected from former student teachers, this study asks: How does the student teaching experience affect teachers’ educational journeys? What support do cooperating teachers need to effectively mentor student teachers working with students of color? How does the …

Strategies For Classroom Teachers Using Generative Artificial Intelligence, Hoang-Kim Nguyen

School of Education and Leadership Student Capstone Theses and Dissertations

This study investigated strategies for classroom teachers using generative artificial intelligence (Gen AI), the challenges high school teachers face when integrating Gen AI tools into the classroom, and how teachers address these challenges. Using a qualitative approach, the study surveyed 26 teachers and conducted five interviews with teachers in two suburban school districts. The results indicated that there are leadership and professional development gaps in Gen AI in high schools. The findings suggested that districts need to provide professional development and leadership on Gen AI to help teachers integrate it into the classroom and prepare students for the Gen AI …

The Role Of Mindfulness In Building Sustainable Educational Leadership, Joe Mueller

School of Education and Leadership Student Capstone Theses and Dissertations

Educational leaders work in environments characterized by sustained responsibility, complex decision-making, emotional demands, and persistent stress. While these demands are well documented in the current literature, the question of how educational leadership might remain healthy, effective, and sustainable still remains. Mindfulness has emerged as a potential resource for managing and navigating stress across multiple professional fields. Despite a growing interest in mindfulness, little research has directly examined the connection between dispositional mindfulness and perceived stress among practicing educational leaders. The purpose of this study is the examination of that connection among educational leaders in the state of Minnesota. This research …

The Standardization Of Teaching: Minnesota Elementary Teacher Perceptions Of Academic Standards In 21st-Century Classrooms, Katie Rotvold

School of Education and Leadership Student Capstone Theses and Dissertations

This sequential explanatory mixed methods study examined how Minnesota elementary teachers’ perceptions of academic standards and assessment influence their instructional practices in the context of 21st-century classrooms. Guided by Ajzen’s (1991) Theory of Planned Behavior, the study explored teachers’ attitudes, subjective norms, and perceived behavioral control related to implementing academic standards. Quantitative data were collected through an online questionnaire completed by 221 Minnesota elementary teachers, followed by qualitative analysis of open-ended survey responses and semi-structured interviews with four teachers. Results indicated that teachers generally held positive attitudes toward academic standards, perceived strong expectations from administrators and state policymakers to implement …

What Leadership And Operational Strategies Should Twin Cities Black-Led Charter Schools Have To Promote School Improvement, Enhance Student Achievement, And Ensure Sustained Organizational Success?, Donald W-R. Allen, Ii

School of Education and Leadership Student Capstone Theses and Dissertations

Allen, D. (2026). What Leadership and Operational Strategies should Twin Cities Black-led Charter Schools have to Promote School Improvement, Enhance Student Achievement, and Ensure Sustained Organizational Success?  

This dissertation examined my story along with the leadership and operational strategies employed by Twin Cities Black-led charter schools to support school improvement, enhance student achievement, and sustain long-term organizational success. Black-led charter schools emerged as community-centered educational alternatives designed to provide culturally responsive learning environments for Black students and families while addressing persistent educational inequities. Despite their important role within Minnesota's educational landscape, limited empirical research has examined the organizational conditions that …

Academic Achievement Of Students In The United States: The Lived Experience Of Being A Black, Hard-Of-Hearing College Learner, Tracy Laneis Ivy

School of Education and Leadership Student Capstone Theses and Dissertations

Black Deaf and Hard of Hearing college students’ current educational experiences are shaped by their lived experiences in high school classrooms. This qualitative study centers the voices and lived experiences of 15 Black Deaf and Hard of Hearing college students. The purpose was to explore how the participants, first-, second-, or third-year college students, made meaning of their high school classroom experiences and how those experiences continued to influence their college experiences. This study was informed by Critical Race Theory, Intersectionality, Disability Studies and Critical Race Theory in Education, and Counter-Narrative.

Data were collected using Seidman’s three-interview series, which required …

Sharing The Voices Of Latine Students: Their Experiences Of Community, Belonging And Joy In A Suburban Public High School, Ashley Acosta-Meyers

School of Education and Leadership Student Capstone Theses and Dissertations

This qualitative phenological and ethnographic study explored how seven Latine high school students in a suburban public high school defined and experienced community, belonging, and joy, asking what school spaces, experiences, and practices build or diminish these three concepts. Data was collected through four interview sessions per participant, reflective journaling, and three culturally and linguistically responsive walkthrough observations, and were analyzed through layered linguistic, narrative, and thematic coding. Findings showed that belonging and joy were tied to specific spaces rather than felt evenly across the school day. Institutional fairness shaped belonging as much as any relationship. Latine identity was contested, …

Beyond Casebooks: Law School’S Hidden Curriculum, Nubia Nelly Esparza

School of Education and Leadership Student Capstone Theses and Dissertations

This mixed methods study sought to understand how the hidden curriculum affects first-generation, marginalized, and underrepresented law students and attorneys, what educational and career opportunities they have missed as a result of not knowing these unwritten rules, and what law schools could do to better prepare this population for the realities of legal education and practice. Data were collected through an anonymous online survey and a focus group with first-generation law students and attorneys who have been in the profession for ten years or less. Analysis of the data was mapped against the Conceptual Framework of the Hidden Curriculum in …

Automated Scoring Of Prosody In Oral Reading Fluency: Integrating Acoustic And Sentence/Chunk-Level Silence Features With Machine Learning, Kuo Wang

Education Policy and Leadership Theses and Dissertations

Prosody, the ability to read with appropriate variation in pitch, duration, pausing, and stress, is an important (and challenging to measure) dimension of oral reading fluency (ORF) and comprehension. ORF prosody is currently measured through human raters and rubric-based scoring systems (e.g., the National Assessment of Educational Progress (NAEP) or the Multidimensional Fluency Scale (MDFS scales). The rating process is labor and resource-intensive and introduces rater bias. Recent work has shown acoustic features to predict prosody ratings; however, their models had low generalization performance on cross-domain data (unseen passages and student samples).

The present study investigated the automated assessment of …

A Proposed Typology Of Nos Empirical Research: Trends And Implications, Maryam Saberi, Noushin Nouri, William F. Mccomas

Teaching and Learning Faculty Publications

Nature of Science (NOS) is a vital school subject with extensive publication record including results from many empirical investigations. This project examined the range, nature, and trends in empirical NOS studies from six major science education research journals over a recent 25-year period with additional recent data. Using systematic literature review techniques (SLR) and subsequent qualitative methods, we developed a comprehensive typology of empirical NOS articles. Ten categories emerged: Teaching NOS to students; Teaching NOS to teachers; Teachers’ NOS classroom practices and knowledge transfer; NOS assessment development and application; Analyses of textbooks and science curricula; Relationships between NOS knowledge and …

July 2026, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

Community & Connection Month

July is Community & Connection Month, a time to focus on building relationships, strengthening connections, and supporting one another. Whether it’s with friends, family, coworkers, or your campus community, meaningful connections play an important role in overall wellness. Strong social connections can improve mood, reduce stress, and help you feel more supported in everyday life.

Draft Final 2023 Insufficiently Reclaimed Sites Sampling: Bres No. 93 – Soudan Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Desert Desires And The War On Terror: Pre- And Post-9/11 Sheikh Romances, Leena Altamimi

Book Publishing Final Research Papers

The existence of sheikh romances as a subgenre has prevailed for well over a century in Western literature. Therefore, would one be able to discern whether the book cover imagery as well as the textual content showcases any tangible differences pre and post 9/11, and America’s “war on terror” campaign? A total of five books are observed: The Sheik by E.M. Hull published in 1919, Sarah Holland’s Desert Destiny published in 1991, Loreth Anne White’s The Sheik Who Loved Me and Penny Jordan’s Possessed by the Sheikh (both published in 2005), and lastly Crowned for the Sheikh’s Baby by Sharon …