Digital Commons Network^™

Kentucky Traffic Collision Facts 2025 Report, Paul Ross, Eric Green, Tony Fields, Christopher Blackden, Kenneth Agent, Christopher Van Dyke

Kentucky Transportation Center Research Report

No abstract provided.

Analysis Of Traffic Crash Data In Kentucky 2021-2025, Paul Ross, Eric Green, Tony Fields, Christopher Blackden, Christopher Van Dyke

Kentucky Transportation Center Research Report

No abstract provided.

Introducing The Math Narrative Project, Liza Bondurant, Sarah Salisbury, Darolyn Flaggs, Belinda Edwards, Uchenna Miles, Daniel Kaufmann

Publications

Whether you teach calculus to engineering students, algebra to future teachers, or developmental math to first-generation college students, the students in your classroom carry narra- tives about mathematics—about whether they belong, wheth- er it matters, and whether asking for help is safe. You carry narratives too. We authors are mathematics educators who work across university classrooms, secondary schools, and teacher preparation programs in Mississippi, Georgia, Texas, and Pennsylvania. In this piece, we introduce the Math Nar- rative Project (2026), a professional development initiative led by the Branch Alliance for Educator Diversity ([BranchED], n.d.) that we participated in as field testers. …

Tpr2 Project Survey Instruments: Teacher Intention, Initial Employment, And Follow Up Surveys, Devon Brenner, Jenn Whitfield, Dana C. Outlaw, Dana P. Franz, Keith Hubbard

Publications

TPR2 Project Survey Instruments: Teacher Intention, Initial Employment, and Follow Up Surveys

This document contains three longitudinal survey instruments developed for the Investigating STEM Teacher Preparation and Rural Teacher Persistence and Retention (TPR2) project to examine the factors that influence pre-service and early-career teachers' decisions about the geographic location in which they choose to teach, with particular attention to rural and small-town placement. The surveys track participants across three key stages of the teacher pipeline: entry into a teacher preparation program, transition into initial employment, and completion of the first year of professional teaching.

Teacher Intention Survey (TIS): Administered during …

Assessing The Impact Of Quantum Technology On Smart City Cyber Resilience, Afra Almansoori

Theses

Smart Cities rely on high-density digital infrastructures that include Internet of Things (IoT) devices, Artificial Intelligence (AI), cloud computing, digital identity systems, and operational technology. Although these systems improve efficiency and sustainability, they also provide a large cyber-physical attack surface. The problem is exacerbated by the advent of quantum computing, as popular public-key ciphers like RSA and elliptic-curve cryptography can be broken using quantum algorithms such as Shor's algorithm (Shor, 1994; Mosca, 2018). Smart cities rely on long-term data confidentiality, certificate-based trust, and remote management of critical infrastructure. This presents a strategic cyber resilience challenge. This thesis examines the impact …

Machine Learning Based Detection Of Unaccounted For Water Using Smart Water Meter Data, Uhoud Aljarman

Theses

The increasing deployment of smart water meters has transformed water distribution systems by enabling high-resolution, near real-time monitoring of customer level water consumption. In water scarce regions such as the Middle East and North Africa (MENA), and particularly in the United Arab Emirates (UAE) where potable water production relies predominantly on energy intensive desalination, these data streams present a critical opportunity to reduce Unaccounted-for Water (UFW), also referred to as Non-Revenue Water (NRW). UFW arising from physical leaks, meter malfunctions, unauthorized connections, and abnormal consumption patterns imposes significant economic, operational, and environmental burdens on water utilities (World Bank, 2016; World …

Women Entrepreneurs In Kosovo: Family And Institutional Implications, Lona Arifi

Theses

Women’s entrepreneurship represents an important source of economic participation, job creation, and local development in Kosovo. Despite gradual progress, women entrepreneurs continue to face structural constraints linked to family responsibilities, unequal care burdens, and uneven institutional support. This study examines how family-related responsibilities and institutional support mechanisms interact to shape the entrepreneurial experiences of women entrepreneurs in Kosovo. The analysis is guided by the 5M framework of women’s entrepreneurship developed by Brush et al. (2009) and applies a mixed-methods research design combining survey data from 145 women-owned businesses, semi-structured interviews, and secondary evidence. The findings show that women entrepreneurs in …

Opposition To Renewable Energy Facilities In The United States: September 2026 Edition, Romany M. Webb, Ivonne Norman

Sabin Center for Climate Change Law

For the first time in nearly 2 decades, the United States is seeing rapid growth in electricity demand, driven by the data center boom as well as expanding electrification. Total electricity use in the United States reached a record high of 4,430 terawatt hours (TWh) in 2025 — almost 3 percent above 2024 levels — and is expected to continue growing at a similar rate through 2050. Meeting this increased demand, while continuing to advance action on climate change, will require a massive ramp up in renewable energy development. Notable progress was made in 2025, with utility-scale solar generation in …

Graduate School Blog - September 2026, Cynthia Haynes

UofM Grad School Blog

This issue spotlights Dr. Deborah Tollefsen’s latest Removing Barriers to Graduate Student Success installment on graduate students who are also parents and the importance of institutional support. We also highlight a UofM graduate alumna, upcoming graduate student events, the Fall 2026 Mastering Graduate School Webinar Series, and opportunities to connect through the Graduate Student Association.

Deterring Political Deceit: A Constitutional Argument To Defend The People's Democracy (2026), David Chang

Books

More than ever, influencers and politicians communicate political messages that they do not believe to be true. This political deceit is constitutionally valueless, harms public discourse, and impedes effective public decision-making. Yet, under current doctrine, the Supreme Court would invalidate any regulation of deceitful political advocacy as an abridgment of political speech.

In Deterring Political Deceit, David Chang explores why traditional efforts to target falsity in political speech have been rooted in constitutional error. While the Court has determined that the defamation of public officials is unprotected, it wrongly declared that false statements of fact lack constitutional value, and …

Biocorrosion And Biocompatibility Of Absorbable Mg-Li-Y Wires For Temporary Cardiovascular Scaffolds, Mitchell L. Connon, Weilue He, Ryan Jacoby, Kenneth Macleod, Carolyn W. Czerniak, Keith W. Macrenaris, Calum Macleod, David Bow, Alex Lamere, Zoe Haase, Jeremy Goldman, Mark Steckel, Roger J. Guillory

Michigan Tech Publications

The use of bioabsorbable metals in cardiovascular applications has shown potential to offer clinical advantages over conventional permanent materials such as stainless steel or cobalt-chromium. Among these, magnesium (Mg) is at the forefront of research for bioabsorbable stent design due to its favorable biocompatibility, suitable mechanical properties, controlled absorption kinetics, and a growing body of supportive clinical data. In this study, we determined that the novel magnesium-lithium-yttrium alloy system featured excellent properties as a bioabsorbable material candidate. The corrosion behavior and histological response were assessed at two levels of yttrium content, 0.5% and 2.0% (by weight). This study found that …

Pengembangan Media Komik Untuk Meningkatkan Pengetahuan Tentang Menggambar Komik Pada Peserta Didik Kelas Viii Smpn 15 Kota Malang, Khairani Indah Damayanti, Abdul Rahman Prasetyo

Journal of Innovation and Teacher Professionalism

This study was motivated by students’ limited understanding of comic drawing concepts and the need for learning media to support art education. It aimed to analyze learning needs, develop comic-based learning media, and examine its feasibility, practicality, and effectiveness. The study employed a Research and Development (R&D) approach using the ADDIE model, comprising analysis, design, development, implementation, and evaluation. The implementation involved 29 eighth-grade students at SMPN 15 Malang, Indonesia. Media feasibility was assessed by subject-matter and media experts, practicality was evaluated based on student and teacher responses, and effectiveness was analyzed using pre-test, post-test, and N-gain scores. The validation …

From Green Presence To Perceived Greenery: Everyday Mobility And Perceptual Availability In Singapore, Ziheng Zeng, Sonny Rosenthal, Orlando Woods

Research Collection College of Integrative Studies

Urban greenery may be abundant in transit-oriented cities, yet green presence does not necessarily become perceptually available to people moving through it. This paper distinguishes green supply, perceived greenery, and green experience, and examines the step at which greenery enters awareness during travel. The study combined 21 days of ecological momentary assessment from 68 participants in Singapore, yielding 6,794 in-trip moments, and 25 route-reconstruction interviews. A satellite normalized difference vegetation index (NDVI) provided a top-down baseline of green supply, and a street-level green view index (GVI) from Google Street View (GSV), matched to 5,824 moments, provided a co-located eye-level baseline. …

The Stickiness Of Meritocratic Beliefs From Adolescence To Adulthood In Singapore, Yen Kiat Chong, Shin Bin Tan, Vincent Chua, Han Ei Chew

Research Collection Office of Impact

The belief in meritocracy has been rising over the past few decades in developed countries. While many studies have focused on the belief in meritocracy, its distribution across groups and its effects, much less is known about how beliefs may change as individuals age and undergo major life transitions. Using linear growth models on three waves of panel data from a national youth survey in Singapore, we found that the major life transitions to adulthood – progressing through the education system (e.g., completing tertiary education), transiting from full-time studies to full-time work, getting married and becoming a parent – predicted …

Biodesulfurization Of Crude Oil Using Locally Isolated Pseudomonas Aeruginosa From Oil-Contaminated Soil In Iraqi Kurdistan, Yousif Mohammed Sharif, Sherwan Mohammed Simo, Lokman Aziz Abdulkareem, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Locally sourced crude oil from Iraqi Kurdistan contains recalcitrant organosulfur compounds that impair air quality, corrode refinery equipment, and hinder compliance with fuel sulfur regulations. This study isolated a Pseudomonas sp. closely related to the Pseudomonas aeruginosa from oil-contaminated soil near Kashy Refinery (Duhok Province, Kurdistan Region, Iraq) and evaluated its biodesulfurization potential as an environmentally friendly alternative to hydrodesulfurization. Batch experiments were conducted at 34 °C and atmospheric pressure using mineral salts medium supplemented with 1%, 3%, and 5% (v/v) Tawki crude oil. The highest sulfur removal efficiency of 83.33% was obtained at 1% (v/v) crude oil after 10 …

Role Of The Corticostriatal Pathway In Learning With Interoceptive Nicotine Stimulus, Tyler Allen

Doctoral Dissertations

Tobacco use, primarily smoking, is the leading preventable cause of death, causing eight million deaths annually. Nicotine, the main addictive constituent of tobacco, acts as a reinforcer and as an interoceptive conditioned stimulus. While its pharmacology is well studied, the neural mechanisms of learning with nicotine remain underexplored. We examined the role of prelimbic cortex (PL) projections to the anterior dorsomedial caudate putamen (a-dmCPu) in nicotine-evoked goal-tracking. To achieve pathway-specific inhibition, we expressed Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) in male and female rats. Subsequently, rats underwent self-administration conditioning in which active responses delivered intravenous (IV) nicotine followed …

Enhancing Structural Design Methodologies For Pavements Incorporating Engineered Emulsion Stabilized Cold Recycled Materials, Ebubechukwu Uche Al-Ihekwaba

Doctoral Dissertations

The transportation sector is confronted with the necessity of sustainability, and the utilization of recycling techniques in the construction and rehabilitation of asphalt pavements has emerged as a viable strategy for preserving pavement infrastructure. Among the various recycling methods, cold recycling is distinguished by its efficient reutilization of existing pavement materials, ease of mix preparation & construction, and reduced dependence on virgin materials and fossil fuels, thereby contributing to lower emissions. The three primary cold recycling techniques, cold in-place recycling (CIR), cold central plant recycling (CCPR), and full-depth reclamation (FDR), differ in their construction methodologies, material processing approaches, and the …

Influence Of Material Composition And Constitutive Representation Of Cold Recycled Asphalt Mixtures On Mechanical Response And Pavement Performance, Fausto Bisanti

Doctoral Dissertations

Cold recycling technologies provide a sustainable approach for pavement rehabilitation by reusing existing materials while reducing the consumption of virgin resources, transportation requirements, production temperatures, and construction-related environmental impacts. However, the mechanical response of cold recycled mixtures (CRM) differs from that of both conventional hot mix asphalt and unbound granular materials and is influenced by material composition, volumetric characteristics, confinement, curing, and stress state. These characteristics create uncertainty regarding material selection, mechanical characterization, and the prediction of the structural contribution of cold recycled layers. Further opportunities to enhance the sustainability of cold recycling lie in the incorporation of alternative recycled …

Assessing The Skill Of Stock Mutual Fund Managers, Rupsha Dey

Doctoral Dissertations

This dissertation explores whether active equity mutual fund managers are skilled enough topick stocks and create portfolios that outperform the market on average. Much of the existing literature finds marginal or negligible evidence of skill which is in line with the standard theory of efficient market hypothesis. In this study I explore the role of investment style in assessing skill among active mutual funds. In chapter 1 of my dissertation, I use cross section method to investigate skill among active mutual funds. In this method, a bootstrap analysis is performed to estimate the distribution of outperformance that arises purely by …

Reliable Gait Analysis With Context-Aware Wearable Sensor Systems, Stella Abena Ansah

Doctoral Dissertations

Accurate gait analysis is important for clinical assessment, rehabilitation monitoring, fall-risk evaluation, sports performance analysis, and the control of assistive devices. While wearable sensor systems offer practical solutions for estimating key gait parameters outside the laboratory, their accuracy is often affected by sensor noise, drift, activity-dependent movement patterns, and changes in sensor response over time. These challenges limit their practical use in real-world settings, where continuous ground-truth validation and repeated laboratory calibration are not always available.This study addresses these challenges by developing context-aware wearable sensing methods for reliable gait analysis during everyday activities. The proposed approaches use information about the …

Characterization Of Coronal Mass Ejections Near 1 Au Using Simultaneous Measurements From Multiple Spacecraft, L1 And Stereo-A: 2022 To 2025, Sahanaj Aktar Banu

Doctoral Dissertations

In this thesis, we construct a database of coronal mass ejections (CMEs) observed by Windand STEREO-A between January 2022 and May 2025, near the maximum of Solar Cycle 25. During this interval, STEREO-A moved from 35◦ east to 35◦ west of the Sun–Earth line, providing a unique opportunity to investigate the longitudinal extent of CMEs near 1 au. A total of 106 CMEs were identified, of which only 39 events (∼ 37%) were detected by both spacecraft. The probability of simultaneous detection decreases rapidly with increasing angular separation, dropping to about 50% at separations of 14◦—20◦. These results suggest that …

Individual Differences In The Granularity, Complexity, And Diversity Of Bodily Sensations, Alexandra L. Ecker

Doctoral Dissertations

The majority of theories of emotion posit that the body is central to the experience of emotion (see, e.g., Barrett & Bar, 2009; Barrett, 2006; Lindquist, 2013; James, 1884; Schacter & Singer, 1962; Gendron & Feldman Barrett, 2009; Stemmler, 2004; Kreibig, 2010; Russell, 2003). Thus, it is no surprise that body awareness, or the subjective awareness of internal sensations (Mehling et al., 2009), has gained much attention in emotion research. There is some evidence that body awareness (BA) is related to both affective experience (i.e., general feelings of pleasantness/unpleasantness and activation/deactivation; MacVittie et al., 2025a), emotional intensity (i.e., the strength …

Multiaxial Characterization And Machine Learning – Enhanced Modeling Of Anisotropic Materials For Forming Applications, Abrar Salam Ebrahim

Doctoral Dissertations

Reliable prediction of material deformation in forming processes requires constitutive models that accurately capture anisotropy while remaining practical to calibrate. This dissertation combines mechanical testing, full-field deformation measurements, finite element (FE) analysis, and artificial neural networks (ANNs) to address three complementary requirements: representation of complex material behavior, characterization across an expanded multiaxial loading space, and experiment-efficient identification of advanced anisotropic yield functions using machine learning. Chapter 2 develops a hybrid ANN-enhanced constitutive framework for Grade 1 commercially pure titanium (CP-Ti) sheet metal to describe temperature and strain rate-dependent hardening and anisotropy. Implemented in an Abaqus user material subroutine, the framework …

Systems Analyses For Sustainable Water Infrastructure Management: Road- Stream Crossings And Urban Drainage Networks, Koorosh Asadifakhr

Doctoral Dissertations

Road-stream crossings (RSCs) and municipal storm sewer networks convey water across and beneath the built environment, and their failure carries consequences for flood risk, aquatic habitat, and public safety. Much of this infrastructure is aging and incompletely characterized, and it is managed under simultaneous budget, coordination, and data constraints. Replacement needs exceed available funding, responsibility is divided among agencies with differing mandates, and asset inventories are maintained for operational rather than analytical purposes. Decisions with large and long-lived consequences are therefore made without the systematic analysis that would inform them. This dissertation develops systems analyses directed at that gap, combining …

Uv-Vis Spectrophotometric Strategies For Stormwater Analysis: Lab- And Field-Verified Multivariate Regression, Monte Carlo Assessment Of Sampling Protocols, Cost And Power Budgets, And Field-Validated Best Practices, Daniel Macadam

Doctoral Dissertations

Stormwater runoff conveys nutrients, sediments, and pollutants to receiving waters. Conventional monitoring produces temporally sparse observations that introduce substantial uncertainty in pollutant load estimates. Ultraviolet-visible (UV-Vis) spectrophotometry offers a continuous, high-resolution alternative but lacks a standardized calibration framework, formal comparison with conventional protocols, and field-validated operational guidance for stormwater applications. This dissertation addresses these three gaps.The first chapter developed and compared multivariate regression models (principal component regression, partial least squares regression, and artificial neural network) for predicting the concentrations of total nitrogen, nitrate, total Kjeldahl nitrogen, total phosphorus, reactive orthophosphate, and total suspended solids from UV-Vis absorbance spectra. The calibration …

Improving Physical And Biochemical Properties Of Gelatin Microgels For Tissue Engineering, Ziqiang Guan

Doctoral Dissertations

Gelatin-based microgels are modular biomaterial building blocks that can be injected and assembled into three-dimensional scaffolds for tissue engineering. Their performance, however, is limited by the transport properties of individual particles, the difficulty of directly encapsulating cells while preserving viability and secondary crosslinking capacity, and the limited ability of passive scaffolds to provide externally controlled physical stimulation. This dissertation investigated three complementary strategies to expand the structural and functional capabilities of gelatin-based microgel systems. First, thermally stable porous gelatin/alginate microgels were produced using calcium-mediated ionic crosslinking and subsequently annealed with microbial transglutaminase. The resulting assemblies maintained internal porosity at physiological …

Baseline Studies To Quantify Microplastic Pollution In Living And Non-Living Estuarine Resources In Selected U.S. Atlantic Coast Estauries, Taja Sims-Harper

Doctoral Dissertations

Global plastic pollution is increasing in part because more than 90% of plastic is discarded and not recycled. Plastic travels from rivers, shorelines, coastal soils, and estuaries, ultimately reaching the open ocean, where it now represents the most abundant form of marine debris. Degradation of plastic polymers has resulted in smaller particles <5mm in size termed microplastics (MP). Attempts to quantify the amount of MP, especially in the oceans, are stymied by the variable interpretations of MP in samples. Their ability to remain suspended in the water column for long periods, means marine species are likely to accumulate MP over time in their muscles and organs and thus, marine MP have been reported to have multiple lasting effects in marine organisms around the world. The aim of this dissertation was to build a baseline of microplastic (MP) concentrations for Great Bay Estuary (GBE) and evaluate MP distribution patterns in the GBE water column and living resources.Surface water samples were collected May to November, 2018-2022 at multiple sites. The body burden of MP in three ecologically important taxa of Great Bay Estuary, NH (GBE) was determined from 310 specimens of each collected through the months of May through October in 2021 and 2022. and oysters were collected throughout the months of June and August of 2022 from two regions, Rehoboth Bay, Delaware, and Casco Bay, Maine. Microplastic burdens were quantified in gut content from European green crabs, Carcinus maenas, whole body preparations of Eastern oysters, Crassostrea virginica, and gut, gill, and muscle tissues from Atlantic silverside fish, Menidia menidia. Oysters collected throughout the months of June-August 2022 from two regions, Rehoboth Bay, Delaware, and Casco Bay, Maine, were analyzed for MP content to 1 determine if there were consistent predictable differences between farmed and wild. All three studies used standardized methods of separation, chemical digestion of biogenic matter, and filtration of MP, after which MP were quantified and analyzed using laser direct infrared (LDIR) spectrometry on all samples and specimens. Across 389 water samples, MP were detected in GBE waters at an average of 248±23 particles m-3. Particle quantity and morphology varied significantly across sites on any particular sampling day. On average, MP shapes were nearly circular. The most commonly identified particles were polyvinyl chloride (the third most common synthetic plastic used for packaging and construction), polypropylene (the most used thermoplastic polymer in food containers, automotive parts, and packaging), and polyamide (mostly known as nylon and used for automotive and machinery parts). Simulations using velocity fields obtained from hydrodynamic modeling and offline particle tracking algorithms showed significant spatial variation of MP particles sampled high and low tide, and particle distributions changed rapidly at all sites and at most sampling stations, usually by day two of a simulation. Most MP extracted from tissues were approximately 10-50 μm in diameter and had aspect ratios close to 1-1.5, indicative of rounder shapes. Most polymers detected (88±2%) were biogenic as opposed to anthropogenic, and 40±5% of biogenic particles were rubber. In living resources, the predominant anthropogenic MP among 14 total MP polymer types detected across all 40 specimens were polyurethane and polypropylene. European green crabs, C. maenas (n=20), had a gut MP range from 0-3 ́104 MP. Eastern oysters, C. virginica (n=10), had a whole-body range of 257-8 ́103 MP. Tissues from Atlantic silverside fish, M. menidia (n=10), had MP ranging from 725 to 11 ́104 in their guts, MP ranging from 11 ́104 to 32 ́104 in their gills, and MP in muscle tissue ranging from 2 ́103 to 3 ́103 MP. 2

Microplastics were found in 100% of farmed and wild oysters collected from Rehoboth and Casco Bays. The MP were predominantly circular, £ 50 μm in size, round (very few fibers), and consisted of many types of polymers. Numbers of MP g-1 wet tissue in Casco Bay oysters ranged …

Assessing The Evolution Of Large Gene Families Through Phylogenetic Focusing, Christopher John Gonzalez

Doctoral Dissertations

Our understanding of gene and gene family evolution has advanced rapidly in recent decades thanks to the prolific expansion of available sequence and genomic data for non-model species. While these resources enable deeper and more complex phylogenies of gene evolution, maintaining good input sequence alignment quality and computational efficiency requires us to select which genomic sequences are most relevant. Instead of using subjective criteria, this dissertation emphasizes a novel, phylogeny-first method for selecting input sequences called Phylogenetic Focusing. Chapter One introduces this program and explains how its six major steps enable sequence selection in a phylogeny-based manner, helping ensure subsequent …

Quantifying Greenhouse Gas Emissions And Mental Health Impacts As Co-Benefits Of Flood Risk Mitigation, Sebastian Rowan

Doctoral Dissertations

Flooding is the most perilous natural hazard in the United States. Flood risk has historically been mitigated by constructing flood defenses such as sea walls or levees that are designed to prevent flood waters from reaching developed areas. However, climate change is increasing the frequency and intensity of flood events beyond the magnitude for which many flood defenses were designed, and the presence of flood defenses has incentivized development within floodplains significantly increasing the consequences of flooding when these systems fail. Total annual flood risk in the U.S. has been estimated in the tens of billions of dollars; however such …

Enhancing Implementation Of Balanced Mix Design For Asphalt Mixtures Through Improved Material Selection, Cracking Characterization, And Performance Prediction, Shubham Harishbhai Modi

Doctoral Dissertations

Balanced Mix Design (BMD) has emerged as a promising approach for improving asphalt mixture performance by balancing rutting and cracking resistance through performance tests rather than relying solely on volumetric criteria. Therefore, its application is increasingly being explored by transportation agencies for both highway and airfield domains. Despite its advantages, several challenges still limit the widespread implementation of BMD. These challenges include uncertainties associated with the compatibility of asphalt mixture components, the limited practicality of existing cracking performance tests, and the lack of performance prediction tools suitable for process control during mixture production. This dissertation addresses these critical challenges by …