Digital Commons Network^™

Medications For Opioid Use Disorder In Correctional Facilities: A 2022 Cross-Sectional Survey Of Health Care Staff, Claire Wolfe, Sabrina Gaiazov, Dr. Pamela Valera, Will Mullen, Ross Macdonald, Christian Heidbreder

School of Social Work Faculty Publications

A national, anonymous, online survey was administered inviting 3,161 correctional health professionals to examine the associations between facility characteristics and the availability of medications for opioid use disorder (MOUD) in jails and prisons. Responses from 268 participants representing 212 correctional facilities were analyzed. We used multivariate logistic regression to identify associated facility characteristics, and open-ended responses were analyzed using content analysis. Facilities in the Western United States had higher odds of providing MOUD compared with those in the Midwest (adjusted odds ratio [AOR] = 3.67, 95% confidence interval [CI]: 1.28–10.99). Jails had higher odds of offering MOUD than prisons (AOR …

Current And Emerging Therapeutic Strategies For The Treatment Of Duchenne Muscular Dystrophy, Miguel A. Lopez Perez, Noah L. Weisleder

Molecular and Cellular Biochemistry Faculty Publications

Background/Objectives: Duchenne muscular dystrophy (DMD) is a fatal, progressive neuromuscular disorder caused by mutations in the dystrophin gene, leading to the absence of functional dystrophin protein. As the largest gene in the human genome, the DMD locus is highly susceptible to mutations, contributing to a prevalence of approximately 1 in 3800–6300 live male births worldwide. This review aims to provide a comprehensive and critical synthesis of current and emerging therapeutic strategies for DMD.

Methods: We conducted a narrative review of the literature, integrating findings from clinical trials, regulatory approvals, and preclinical studies. We categorized therapeutic approaches into mutation-agnostic and mutation-specific …

Accounting For Spatial Effects And Social Norms In Making Algorithmic Law: Insights From And Applications In Urban Mobility, Jingkang Gao

Journal of Law and Mobility

This Article examines a prominent idea in the law and technology literature: that algorithms and big data can be used to make law dynamic and personalized. As currently envisioned by legal scholars, “algorithmic law” entails laws that adjust in real time to changing conditions and vary across individuals, improving welfare by tailoring legal rules and standards to personal characteristics.

This Article argues that this vision of algorithmic law is incomplete—and often counterproductive. Existing proposals treat personalization as a function of individual attributes alone, overlooking the fact that effects of individual behavior are fundamentally interactive. Individual behavior is shaped by spatial …

A Golden Age For Us . . . Or For The Airlines? Ensuring Robust Federal Consumer Protections To Make Flying Great Again For Everyone, David S. Nahmias, Julian Sanghvi

Journal of Law and Mobility

Flying today is not meaningfully better for passengers than it was twenty years ago—and the airlines are largely to blame. Airlines leverage opaque pricing practices and junk fees to extract greater revenue from passengers, while the quality of air travel has deteriorated. Despite its mandate to protect the flying public and the air travel market from deceptive and anticompetitive practices, the Department of Transportation has been largely captured—adopting industry-favorable regulations and procedures while cutting commonsense consumer protections. This Essay examines the airlines’ coordinated campaign to circumvent and dismantle consumer protections, and how the industry have largely captured the federal agency …

From Pixels To Semantics: A Multi-Stage Ai Framework For Structural Damage Detection In Satellite Imagery, Bijay Shakya, Catherine Hoier, Khandaker Mamun Ahmed

Research & Publications

Rapid and accurate structural damage assessment following natural disasters is critical for effective emergency response and recovery. However, remote sensing imagery often suffers from low spatial resolution, contextual ambiguity, and limited semantic interpretability, reducing the reliability of traditional detection pipelines. In this work, we propose a novel hybrid framework that integrates AI-based super-resolution, deep learning object detection, and Vision-Language Models (VLMs) for comprehensive post-disaster building damage assessment. First, we enhance pre- and post-disaster satellite imagery using a Video Restoration Transformer (VRT) to upscale images from 1024x1024 to 4096x4096 resolution, improving structural detail visibility. Next, a YOLOv11-based detector localizes buildings in …

Seismicity And Stress Interactions In Western Nepal: Implications For Strain Accumulation In The Central Himalayan Seismic Gap, Priyanka Dhamala

Dissertations, Master's Theses and Master's Reports

This study examines the patterns of seismicity in western Nepal within the central Himalayan seismic gap and determines whether current earthquake occurrence represents short-term stress release through clustered seismicity or long -term strain accumulation reflected by independent background earthquakes. A unified earthquake catalog was developed by combining regional and global earthquake catalogs and homogenizing magnitudes to moment magnitude (Mw). Completeness analysis based on the Stepp method indicated that this catalog is reliable for Mw ≥ 4.8. A nearest neighbor declustering algorithm has been implemented to identify clustered earthquakes from background seismicity due to long-term tectonic loading. Frequency-magnitude analysis shows b-values …

Geochemical, Tectonic, And Temporal Evolution Of The Southeastern Superior Craton: Insights From The Three Lakes Region, Michigan, Helen Ann Foldenauer

Dissertations, Master's Theses and Master's Reports

The geodynamic processes associated with the onset of global plate tectonics remain a contentious topic in Earth Sciences. The Superior Craton of south-central Canada is the largest preserved area of known Archean material, and study of this area has contributed greatly to our understanding of these early Earth processes. The study area near Three Lakes, Michigan, was designated by the USGS as part of the Earth Mapping Resources Initiative (EMRI) program. No complete, detailed geologic map currently exists for the assigned area, and by contributing to mapping efforts, this study was able to assess both the Archean tectonic evolution and …

Machines In The Marsh: Struggles Of Peatland Rehabilitation Following The Shutdown Of The Irish Industrial Peat Industry, Maeve Mcgroary

Student Theses 2015-Present

As the EU and the Irish government focus on shifting to green energy and becoming carbon neutral, there has been a growing concern about the use of Irish peatland. For centuries, Irish people have cut and dried peat for the purpose of burning. This would traditionally be used for heating and cooking but as electricity became increasingly popular in the 1960s, companies like Bord na Móna helped industrialize the process of harvesting peat as part of their expansion of several peat-fired electricity stations. Chapter one discusses how decades of overharvesting has caused extreme damage to peatlands and their wildlife. Chapter …

Implementing Culturally Responsive Teaching: A Qualitative Content Analysis Of Emerging Themes, Stephanie Yelder-Stovall

Doctor of Education (EdD)

Culturally responsive teaching (CRT) is a research-grounded pedagogical approach for educational equity centering cultural knowledge to make learning meaningful and relevant (Gay, 2002). However, a persistent gap remains between CRT as a concept and classroom implementation. Research suggests translating the principles of CRT frameworks into classroom practice remains challenging (Gay, 2000, 2010; Sleeter, 2012). Guided by the research question and using Schreier’s (2012) qualitative content analysis approach, I analyzed a dataset of 14 varied sources through a deductive coding frame derived from four theoretical frameworks: (a) Gay’s (2000, 2010) CRT, (b) Hammond’s (2015) ready for rigor, (c) Paris and Alim’s …

The Moderating Effect Of Workplace Generations And Industry 4.0 Technology On The Relationship Between Self-Determination Factors And Gen Z’S Turnover Intentions, Josh Kauffman

Doctor of Business Administration (DBA)

This study investigated relationships among the three factors of self-determination theory (SDT)—autonomy, competence, and relatedness—and Generation Z’s engagement with Industry 4.0 technologies and employee turnover intentions within the U.S. manufacturing sector. Specifically, it evaluated whether SDT factors and technology adoption differentially influence turnover intentions for Generation Z compared with other cohorts, while examining effects of specific technologies and their interaction with motivational variables. A quantitative research design employed survey methodology and random sampling of full-time manufacturing employees across the United States. Data were collected anonymously over a 2-week period using validated instruments, including the Basic Psychological Need Satisfaction for Technology …

Eastern Michigan University, Spring Commencement, May 2, 2026, Eastern Michigan University

Commencement Programs and Materials

No abstract provided.

Evaluation Of Critical Shear Strength Of Soils In Nebraska Based On Revised Cpt, Chung R. Song, Bashar Al-Nimri, Basil Abu Al Sha'r, Dhurba R. Pandey, Jongwan Eun, Seunghee Kim

Nebraska Department of Transportation: Research Reports

This study evaluated the “Fully Softened Shear Strength (FSSS)” of soils in Nebraska based on a revised Cone Penetration Test(CPT) method. FSSS is a unique strength condition that soils show substantially reduced strength during rainy seasons, eventually causing failure of slopes and other structures.

The revised CPT was adapted to inject water at targeted depths, inducing controlled moisture infiltration and capturing real-time soil softening over designated intervals of 30, 60, or 90 minutes. Through tip resistance (qc) and sleeve friction (fs) measurements under “in-situ” and “wet” conditions, the test effectively identified fully disturbed/low strength zones around the sleeve. Simultaneous sampling …

The Use Of Recycled Plastic In Asphalt Pavements: Feasibility Study, Isabella Bueno, Robert Rea, Jamilla Teixeira

Nebraska Department of Transportation: Research Reports

The plastics industry has been actively exploring new end-market opportunities for the more than 35 million tons of waste plastics generated annually. The use of recycled WP in asphalt presents an opportunity to improve pavement performance while reducing the growing amount of WP being landfilled or released into the environment. However, the use of WP in asphalt mixtures poses challenges due to variations in plastic composition and the presence of non-plastic contaminants. The absence of standardized procedures has resulted in inconsistent integration methods and unclear roles of WP within asphalt concrete (AC) mixtures. Therefore, the goal of this multiphase study …

Development And Evaluation Of Crashworthy Approach Guardrail Transition With Increased Span Length Between Concrete Bridge Rail And First Transition Post – Phase I, Tewodros Yosef, Qusai Alomari, Ronald K. Faller, Robert W. Bielenberg, Scott Rosenbaugh

Nebraska Department of Transportation: Research Reports

This study developed and evaluated a 34-in.-tall Nebraska Department of Transportation (NDOT) thrie-beam approach guardrail transition (AGT) with an increased span between the concrete buttress end and the first transition post. The objective was to accommodate a wide range of common obstructions near bridge ends, including abutments, wing walls, drainage features, and utilities. A survey of NDOT districts identified critical obstruction geometries and informed design criteria. Most NDOT districts indicated that a maximum span of about 4 ft would be sufficient, and some preferred spans up to 6 ft. To accommodate a wider range of obstructions, the first transition post …

Assessment Of Truck Parking Demand And Safety During Normal And Severe Weather Conditions In Nebraska, Nathan Huynh, Li Zhao, Zhenghong Tang, Aida Riahifar, Jahangeer Jahangeer

Nebraska Department of Transportation: Research Reports

This project examined truck parking capacity, demand, and utilization patterns along I-80 in Nebraska. The objectives were to (1) document the capacity of public and private truck parking facilities along I-80, (2) analyze spatial and temporal trends in parking demand, (3) develop models to predict occupancy at parking facilities, (4) identify clusters of undesignated parking during inclement weather, and (5) assess whether truck parking shortages contribute to truck-involved crashes. Within a one-mile buffer of I-80, 21 public facilities and 49 private facilities were identified. The spatiotemporal analysis of these public and private truck parking facilities using the National Agriculture Imagery …

The Divide Of Women’S Health: Systematic Thinking Of Women, Tasfia T. Howlader

Honors Theses

Women’s health has constantly been changing- from public health infrastructure to health policies, and even medical advancements. Yet, the struggles are persistent within the gaps present in women’s health. The Socio-Ecological Model (SEM) explains interactions between different levels of relationships, which result in health outcomes that vary from individual factors to environmental factors. Applying the SEM to describe health disparities can help explain how the relationships an individual has influenced their health. This project serves to exemplify these different levels while discussing the tailoring of services to the needs and the importance of populations based on their experiences. Specifically, adhering …

Faith That Lasts: How Local Churches Can Support Families In Passing On Their Faith To Their Children, Andrew Corbyn Thompson

Doctor of Ministry

NPO Statement

More than ever, children raised in Christian homes leave their faith by adulthood.

A major contributing factor to this tragic exodus is the North American ministry model that outsourced discipleship from the home to age-segregated church programs and professionals. This project responds to the urgent need to equip and empower parents in their foundational role as their children's first disciplers.

Key Benefit or Insights that Emerged from the Research Overall

The research for this project, grounded in biblical and theological foundations and sociological observation, highlights that lasting, authentic faith is fostered in a holistic home environment where parents, …

Humanising Language Teaching In The Age Of Ai, Anuchaya Montakantiwong, Napat Jitpaisarnwattana

PASAA

No abstract provided.

What Makes An Ideal English Teacher? Thai Secondary School Students’ Perceptions, Monthon Kanokpermpoon, Israporn Chuntharusmi Sanongpong

PASAA

No abstract provided.

Development Of A Sustainable Web Application For A Blended Learning Environment To Improve Standardized English Test Performance Of Undergraduates At King Mongkut’S University Of Technology North Bangkok, Rayong Campus, Kusuma Bangkom

PASAA

No abstract provided.

Epistemic Lexical Verbs As Hedging Devices And Their Semantic Prosodies In Applied Linguistics Abstracts In Thai International Journals, Soranut Kumdee

PASAA

No abstract provided.

Does A More Functionally Diverse Top Management Team Make The Financial Statements More Comparable?, Md Mahmudul Hasan, Audrey Wen-Hsin Hsu, Sayan Sarkar, Tsung-Hsuan Joey Yang

Accounting Faculty Publications

We examine whether top management team (TMT) functional diversity affects financial statement comparability. Drawing upon upper echelons theory and the information sharing perspective in diversity research, we argue that TMT functional diversity produces more comparable financial statements due to better information sharing and integration. Using a sample of US firms, we find that financial statement comparability is positively associated with TMT functional diversity. We also find that the positive relationship between TMT functional diversity and comparability is more pronounced in firms with a poor information environment. Our findings remain robust after addressing endogeneity concerns. This study contributes to the existing …

Intraosseous (Io) Analgesia Medication Administration In Orthopaedic Surgery: A Brief Review, Jenna Chrabolowski, Troy B. Puga, Abanoub Attallahm, Mckenna W. Box, John T. Riehl

North Texas GME Research Forum 2026

Introduction

Intraosseous (IO) analgesia is a novel strategy for pain control in orthopaedic surgery. This brief review aims to provide an overview of IO analgesia in orthopaedic surgery.

Methods

A search was conducted across seven databases. Titles and abstracts were screened followed by full-text review for inclusion criteria. Demographics and results were extracted from included articles.

Results

Ten studies met inclusion criteria and involved patients undergoing knee surgery and spinal surgery. IO lidocaine was shown to be effective for postoperative and intraprocedural pain control during vertebroplasty and kyphoplasty. IO morphine and IO NSAIDs were shown to be effective in reducing …

An Examination Of Remittance Inflow Variation In Net-Emigration Countries, Andrew Rizko

CMC Senior Theses

This paper examines the structural and institutional determinants of remittance inflows in a panel of 40 net-emigration countries from 2000 to 2024. By restricting the sample to countries with negative average net migration, the analysis holds migration pressure constant and isolates the role of domestic conditions in explaining cross-country variation in remittance dependence. Using fixed effects and correlated random effects (Mundlak) estimators, I find that labor force participation is the most robust within-country determinant: a one percentage point increase is associated with approximately a 2.3 percent decline in remittance inflows, consistent with remittances functioning as a structural need in contexts …

Forecasting The Unpredictable: The Bullwhip Effect In The Toy Industry, Mannat Sethi

CMC Senior Theses

This thesis investigates the bullwhip effect, the amplification of demand variability as it moves upstream in a supply chain, with a focus on the toy industry, and comparative analysis with the technology and consumer goods sectors. Using annual data from 1993 to 2024, the study analyzes production and retail growth for Mattel, Hasbro, Intel, and Procter & Gamble to assess how variance between consumer demand and firm output has changed over time. Bullwhip ratios are calculated as the variance of production growth divided by the variance of retail growth across two periods: 1993–2008 and 2009–2024.

The findings show that toy …

Federated Data Engineering And Learning For Edge Intelligence Systems, Afsaneh Mahanipour

Theses and Dissertations--Computer Science

The rapid proliferation of Internet of Things (IoT) devices and cyber–physical systems (CPS) in domains such as smart healthcare, intelligent transportation, and industrial automation has led to unprecedented volumes of heterogeneous data. While advances in deep learning and large-scale foundation models have enabled powerful data-driven decision making, their deployment in real-world distributed environments remains fundamentally constrained by limited computation, communication bandwidth, energy resources, and data privacy requirements. This dissertation addresses these challenges by developing novel federated learning frameworks and efficient federated data-processing pipelines that make large-scale artificial intelligence practical, scalable, and trustworthy in resource-constrained settings. This dissertation identifies data preprocessing …

Multi-Objective Optimization Of Energy Costs And Ev Battery Health In V2g Enabled Homes, Dzifa M. Hodey

Theses and Dissertations--Computer Science

Electric vehicles (EVs) and rooftop solar photovoltaic (PV) systems are increasingly being integrated into residential settings, creating new opportunities for vehicle-to-grid (V2G) and vehicle-to-home (V2H) operations. In these systems, the EV battery functions as a controllable energy storage unit that can charge from the grid or PV and discharge energy to supply household load or export to the grid for a profit. By intelligently scheduling this bidirectional power exchange, households can reduce electricity costs and enhance PV utilization. Realizing these benefits requires optimization strategies that balance cost reduction with EV battery health preservation. However, existing V2G/V2H studies largely emphasize cost …

Toward Efficient And Scalable Scientific Data Management Through Quality-Oriented Data Compression, Pu Jiao

Theses and Dissertations--Computer Science

Scientific simulations and instruments now produce data at rates that overwhelm the storage, memory, and network subsystems of modern high-performance computing (HPC) facilities. Error-bounded lossy compression reduces data movement costs while bounding reconstruction error, yet three barriers limit its adoption in mission-critical workflows: existing compressors cannot guarantee the accuracy of domain-specific quantities of interest (QoIs) derived from compressed data; compression-induced artifacts such as posterization, blocking, and interpolation banding erode user confidence in decompressed fields; and significant compressibility in the quantization index arrays of interpolation-based pipelines remains unexploited. This dissertation addresses all three barriers through four contributions, with the artifact barrier …

Advancing Task-Oriented Dialog Systems: Scalability, Generalization, And Evaluation, Adib Mosharrof

Theses and Dissertations--Computer Science

Task-oriented dialog (TOD) systems enable conversational interfaces for complex tasks like flight booking and restaurant reservations. However, deploying TOD systems at scale faces three critical barriers: scalability, generalization, and evaluation. Scalability is primarily restricted by the human-annotation bottleneck, as current systems depend on vast quantities of manually labeled data for every new domain, making deployment prohibitively expensive. Generalization remains a persistent challenge, as systems optimized for known domains often suffer significant performance degradation when encountering new, unseen ones. Existing evaluation metrics measure response quality and fluency, but fail to measure functional task success. As TOD systems are deployed across diverse …

Advancing Generative Methods For Multimodal Data Analysis, Rabeya Tus Sadia

Theses and Dissertations--Computer Science

The integration and modeling of high-dimensional, heterogeneous biological data remain central challenges in computational biology due to complex feature dependencies and pervasive missingness. This dissertation addresses these challenges by developing novel generative frameworks for multimodal data reconstruction, imputation, and interaction prediction. In generative modeling, we focus on capturing structural and causal dependencies in sparse biological systems. We first introduce CausalGeD, a causality-aware diffusion framework that leverages Granger-causal attention for biologically coherent spatial gene expression generation. Next, we propose CausalGenDiff, which combines VAE-guided latent representations with causal diffusion to enable robust reconstruction across spatial and single-cell modalities. We further present DepMicroDiff, …