Digital Commons Network^™

Proteogenomics In Cerebrospinal Fluid And Plasma Reveals New Biological Fingerprint Of Cerebral Small Vessel Disease, Ilana Caro, Daniel Western, Shinichi Namba, Na Sun, Shuji Kawaguchi, Yunye He, Masashi Fujita, Gennady Roshchupkin, Tim D'Aoust, Marie-Gabrielle Duperron, Muralidharan Sargurupremraj, Ami Tsuchida, Masaru Koido, Marziehsadat Ahmadi, Chengran Yang, Jigyasha Timsina, Laura Ibanez, Koichi Matsuda, Yutaka Suzuki, Yoshiya Oda, Akinori Kanai, Pouria Jandaghi, Markus Munter, Daniel Auld, Iana Astafeva, Raquel Puerta, Jerome I Rotter, Bruce M Psaty, Joshua C Bis, W T Longstreth, Thierry Couffinhal, Pablo García-González, Vanesa Pytel, Marta Marquié, Amanda Cano, Mercè Boada, Marc Joliot, Mark Lathrop, Quentin Le Grand, Lenore J Launer, Joanna M Wardlaw, Myriam Heiman, Agustin Ruiz, Paul M Matthews, Sudha Seshadri, Myriam Fornage, Hieab Adams, Aniket Mishra, David-Alexandre Trégouët, Yukinori Okada, Manolis Kellis, Philip L De Jager, Christophe Tzourio, Yoichiro Kamatani, Fumihiko Matsuda, Carlos Cruchaga, Stéphanie Debette

Faculty, Staff and Student Publications

Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia with no specific treatment, of which molecular mechanisms remain poorly understood. To identify potential biomarkers and therapeutic targets, we applied Mendelian randomization to examine over 2,500 proteins measured in plasma and, uniquely, cerebrospinal fluid, in relation to magnetic resonance imaging (MRI) markers of cSVD in more than 40,000 individuals. Here we show that 49 proteins are associated with MRI markers of cSVD, most prominently in cerebrospinal fluid. We highlight associations that are consistent across platforms and ancestries, and supported by complementary observational analyses, and we explore differences …

Effect Of Material And Processing Lag Time On Radiant Energy Penetration And Modulus Of 3d-Printed Indirect Bonding Jig Materials, Megan Meyer, Kamal Awad, Baylie Subjeck, Joe C Ontiveros, Venu G Varanasi, F Kurtis Kasper

Faculty, Staff and Student Publications

Objective: To investigate the effect of the time between 3D printing and post-print processing (lag time) on the modulus and radiant energy penetration of 3D-printed indirect bonding jig materials.

Materials and methods: Three 3D-printed resins (Formlabs IBT Resin, SprintRay IDB 2, Pro3dure GR-18.1 IB) were tested for three lag times (0, 16 and 64 h; n = 10 per group). Radiant energy penetration was measured using a power meter, and Vickers hardness was assessed for composites cured through the samples. Mechanical properties were evaluated using uniaxial testing and three-point bending.

Results: Both the resin type and lag time significantly affected …

Twim #222: Biosensors In Bacteria, Madison Hayes, Alexis Austin, Dillon Nguyen, Angela Wilson, Rebecca Seipelt-Thiemann

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #222: Biosensors in Bacteria from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Twim #243: Beef And Bacillus, Sakiem Winston, Madison Wolford, Rebecca Seipelt-Thiemann, Angela Wilson

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #243: Beef and Bacillus from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Twim #286: Integrons And Invasion, Andrea Ayala-Lopez, Brittney Heist,, Thomas Salazar, Rebecca Seipelt-Thiemann, Mel Melendrez-Vallard, Angela Wilson

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #286: Integrons and Invasion from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Barriers And Facilitating Factors For Covid-19 Vaccination In Rural Appalachia, Kathryn M. Cardarelli, Rachel Gillespie, Anna Goodman Hoover, Diane B. Francis, Marc T. Kiviniemi

Epidemiology and Environmental Health Faculty Publications

Background: Since the onset of the pandemic, COVID-19 mortality has disproportionately impacted populations impacted by health inequities. This study aimed to identify the barriers and facilitators to COVID-19 vaccination uptake in Appalachian Kentucky as a first step to developing vaccination interventions. Methods: Key informant interviews were conducted with 36 community leaders in 14 Appalachian Kentucky counties from January-June 2023. Interviews focused on leaders’ perspectives about their community’s COVID-19 experiences, community impacts of the pandemic, and vaccine facilitators and barriers in their communities. Iterative inductive-deductive coding was used to characterize responses. Results: There were barriers and facilitators at multiple levels of …

The Rider (2025-12-01), Daniela Martinez Salazar

The Rider Archives

Vol. 11, No. 13

Energy Flow Differences In Throwing Arm Joints Between Javelin And Weighted Balls In Male Javelin Throwers, Hans-Peter Köhler, Kristof Kipp, Nikola Prvulović, Maren Witt

Exercise Science Faculty Research and Publications

Introduction: To enhance release velocity during competition, javelin throwers incorporate implements of varying mass into their training regimens. Previous research has demonstrated that, although velocity contributes quadratically to the computation of kinetic energy, heavier implements generate substantially greater kinetic energy at the moment of release, despite markedly lower release velocities. The primary objective of the present investigation was to analyze energy transfer within the throwing arm to gain deeper insight into the biomechanical mechanisms underlying the use of implements with different masses.

Methods: The three-dimensional coordinates of 16 reflective markers were recorded for 6 athletes during throws using 6 different …

Information Literacy In The Artificial Intelligence Era: A Proposed Framework, Radwan Ali, Matthew L. Wilson

Communications in Information Literacy

Artificial intelligence (AI) systems and applications have become ubiquitous across daily life. While AI offers numerous positive opportunities, it also presents numerous challenges. Information literacy (IL) advocates are concerned about the risks that accompany AI systems. Given the universal reach of AI with its potential pitfalls and perils, researchers and practitioners from various fields and disciplines should inform the dialogue on AI’s development and application. A critical aspect of this dialogue comes in the form of information literacy. Our paper aims to answer the question “How can information literacy guide users in navigating and shaping artificial intelligence technologies?” by establishing …

Public Health Trade-Offs During A Pandemic: Mobility Decline And Hypertension Risk In India, Arpita Khanna, Tomoki Fujii

Research Collection School Of Economics

The Covid pandemic dramatically altered patterns of daily life, particularly through widespread declines in mobility due to lockdowns and social distancing measures. While the economic and epidemiological effects of these restrictions have been widely studied, their broader health implications remain underexplored. This paper investigates the relationship between mobility decline during the Covid pandemic and hypertension outcomes in India. Leveraging district-level variation in mobility from Google Community Mobility Reports and health data from the 2019–2021 Indian Demographic and Health Survey (DHS), we find that a 1 percentage point reduction in mobility over the 30 days prior to interview is associated with …

Effectiveness Of Cognitive And Behavioral Interventions In The Treatment Of Schizophrenia: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Zoey Khai Yee Eun, Meilan Hu, Kean J. Hsu, Nadyanna M. Majeed

Research Collection School of Social Sciences

Background: Cognitive and behavioral interventions have risen in popularity both as an adjunctive treatment to antipsychotic medication and as an alternative treatment for schizophrenia. With the growing number of such interventions, we performed an umbrella review to provide a comprehensive summary comparing the effectiveness of the different interventions among populations with schizophrenia. Methods: This umbrella review included meta-analyses evaluating cognitive and behavioral interventions for schizophrenia. Following PRISMA guidelines, the initial search yielded 4888 records, and after a three-stage screening procedure, 33 meta-analyses met the inclusion criteria for the final analysis. Results: Our findings from the 33 meta-analyses support the efficacy …

Experimental Measurement Demonstration Of Initial And Steady-State Heights Of A Co2 Vertical Jet Fountain In Still Air, Brock Mcrae

Chemical Engineering Undergraduate Honors Theses

Atmospheric releases of heavier-than-air gases pose acute near-field hazards in low wind, yet the near-source behavior of vertical dense-gas jets in still air is sparsely documented. This thesis demonstrates a repeatable laboratory method for measuring the initial and steady-state rise heights of a carbon dioxide (CO₂) jet issued vertically from a floor nozzle in the CHRC ultra-low-speed wind tunnel under still-air conditions. Controlled mixtures (pure CO₂, 50/50 CO₂-air, 25/75 CO₂-air) were released at four flow rates (75, 100, 125, 150 LPM) with five repeats per condition. A fixed camera and tape-measure scale enabled video extraction of jet height using Kinovea …

Evaluating Healthcare Professionals’ Perceptions Of The Ist Algorithm In Maternal-Fetal Health Clinic: Usability And Satisfaction, Terri Taylor

Doctor of Nursing Practice Projects

Background: Standardizing substance-use screening in perinatal care is essential for optimizing clinical decision-making and promoting equitable patient outcomes. To address gaps, the Integrated Screening Tool (IST) algorithm was introduced in a Maternal–Fetal Medicine (MFM) clinic. However, 2023 data revealed inconsistent utilization. Evaluation Question: This Doctor of Nursing Practice (DNP) project evaluated: (1) How do nurse practitioners, medical doctors, and registered nurses perceive the usability of the IST algorithm for standardized drug screening in pregnancy? (2) How do these providers rate their satisfaction with the IST algorithm in managing patients with positive drug screens? Methodology: A cross-sectional survey was conducted with …

Utilization Of Mushroom Stems As A Feed Resource For Sustainable Poultry Production, Kayla Stamps

All Theses

Soybean meal (SBM) is the primary protein source in poultry diets; however, its escalating cost and the environmental impact of soybean cultivation underscore the need for sustainable alternatives. Mushroom stems are generated at large volumes as agricultural waste, yet contain bioactive compounds and essential nutrients that may benefit poultry health and productivity. Despite these attributes, limited research has evaluated their potential as feed ingredients across different poultry species. This study addressed this gap by investigating whether mushroom stem powder can partially replace SBM in poultry diets while improving performance, health, and environmental outcomes.

Specifically, four experiments were conducted to evaluate …

Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 50 – Zelia Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Butte Treatment Lagoons (Btl) Groundwater Treatment System Routine Operations, Maintenance, And Monitoring (Om&M) Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Is Political Information Over Facebook Credible? A Look At The 2020 Presidential Election, Kristina Harrison, Shawn Thelen, Boonghee Yoo, John B. Ford

Journal of Applied Marketing Theory

Much controversy still exists surrounding the events before, during, and after the 2020 U.S. presidential election. Some of this is attributable to voters’ uncertainty, driven by conflicting messages transmitted over social media, about the credibility of information surrounding the candidates and election results. Examining data collected shortly before the 2020 election, this study investigates how consumers perceive political information presented on Facebook. Drawing from Source Credibility Theory and the Elaboration Likelihood Model (ELM), the research tests a model that includes medium dependency, medium interactivity, information quality, information presentation, personal expertise, and power perception. Data from 407 participants were analyzed using …

Accelerating Relationship Discovery In Chronic Lower Back Pain Through Knowledge Graph And Ontology Enhanced Large Language Models, Damon Lin

Master's Theses

Chronic lower back pain (cLBP) is a widespread public health burden linked to anxiety, depression, and opioid addiction. Interventions aimed at treating cLBP have shown minimal improvements in pain outcomes, leading researchers to reexamine our understanding of cLBP through constructing a causal model. However, constructing causal models through Randomized Controlled Trials are often unfeasible, and relying on domain expertise requires extensive and time-consuming research, posing a serious bottleneck for designing effective treatments. To accelerate this process, we apply Knowledge Graphs, Ontologies, and Large Language Models (LLMs) to aid researchers in determining possible causal relationships. First, we demonstrate how LLMs can …

Generalized Detection Of Animal Behavior Using Accelerometers, Alexander J. Arrieta

Master's Theses

Animal mounted sensors are becoming increasingly used to passively monitor both domestic and wild animals. Advances in lightweight accelerometer and GPS technology have allowed many animals to be fitted with high accuracy sensors for extended periods of time. This leads to new opportunities to study animal behavior without direct observation. However, interpreting the raw data is difficult due to the high volume and missing context of the information. Machine learning techniques excel at extracting information from raw data streams and are excellent candidates for processing the sensor data. However, due to large variance in how different animals execute the same …

Per- And Poly-Fluoroalkyl Substances Fate Across California Wastewater Treatment Plants: A Meta-Analysis Of Formation, Distribution, And Persistence, Elizabeth Reineke

Master's Theses

Per- and poly-fluoroalkyl substances (PFAS) are persistent contaminants that move through municipal and industrial wastewater systems with limited attenuation. As a result, they are increasingly detected in drinking water supplies. Despite growing regulatory concern, a systems-level understanding of PFAS behavior across multiple treatment facilities and watershed settings remains incomplete. This study compiled influent, effluent, and biosolids datasets from more than one hundred California wastewater treatment plants to evaluate PFAS occurrence, transformation, and partitioning across diverse treatment configurations. Analytical steps included calculating removal efficiencies, assessing precursor-to-product oxidation, evaluating co-contaminant correlations, and grouping facilities by process design to quantify configuration-specific fate patterns. …

Associations Between Feed Efficiency And Feeding Behavior In Yearling Angus Bulls In A Competitive Environment, Amelia Katz

Master's Theses

Feed efficiency in beef cattle is a complex trait shaped by physiological, behavioral, and social factors that influence how animals access and utilize feed resources. This study examined feed efficiency classification and how it is influenced by feeding behavior, competitive interactions, and bunk approach patterns in yearling Angus bulls housed in a drylot over two years. Bulls were grouped into high and low feed efficiency categories using residual feed intake and feed conversion ratio within pen and year (n = 40 per year; n = 40 per treatment). Continuous electronic monitoring quantified feeder visitation, feeding duration, intake, and rate. A …

Serum Concentrations Of Inflammatory Markers And Selected Nutrient Metabolites In Holstein And Jersey Cows Across The Transition Period, Avery Orr

Master's Theses

The transition period, spanning the weeks surrounding parturition, requires dairy cows to undergo synchronized metabolic, endocrine, and immunological adjustments that support the onset of lactation but also heighten disease susceptibility. Although individual inflammatory or metabolic biomarkers have been extensively studied, the integrated immunometabolic dynamics that occur across this period and the difference between breeds is not fully understood. The objective of this study was to characterize longitudinal patterns in key nutrient metabolites and inflammatory markers in Holstein and Jersey cows and assess how these systems interact across the transition period.

A total of 63 Holstein and Jersey cows were sampled …

Purpose And Nonprofit Enterprise, Cathy Hwang, Dorothy S. Lund

Faculty Scholarship

Nonprofit enterprise is responsible for a large share of economic activity across the globe. And yet, leading theories fail to explain why nonprofit business survives and even thrives across a vast number of industries, ranging from artificial intelligence to beer brewing, despite an absence of shareholder control. Indeed, as shareholder ownership and intervention rights have become the core component of successful corporate governance, this success is all the more surprising.

This Essay offers a novel “purposeful enterprise” theory to explain the puzzling success of nonprofit enterprises. Drawing on research in behavioral economics and organizational science, it argues that organizational purpose …

U.S. Military Veterans And Socioeconomic Opportunities: A Financial Lens On National Public Service, Corri Zoli, Linda Euto, Rosalinda Maury

The Lender Center for Social Justice

This brief offers policy-relevant insights into how military service is an important lever for socioeconomic opportunity and social mobility in the United States. Drawing on the social science literature and recent data from federal sources, this brief focuses on the many financial advantages that result from service, whether due to standardized military pay rates, military networks, or military and veterans’ benefits, from the GI Bill to housing allowances. Such financial advantages from service may also reduce socioeconomic disparities and create economic opportunities for military service members, from building intergenerational wealth to becoming homeowners, including for underrepresented minority service members.

Addressing The Wealth Gap: Supporting Urm Veteran Entrepreneurs Through Evidence-Based Policy, Arielle Badger Newman, Mauricio Mercado, Ashley Gomez, Rosalinda Maury

The Lender Center for Social Justice

Despite military service providing valuable leadership skills and discipline, underrepresented racial minority (URM) veteran entrepreneurs face significant barriers to financial sustainability and business growth. Our analysis of 1,859 veteran entrepreneurs reveals that Black veterans experience lower financial sustainability compared to White veterans, while women URM veterans are more likely to be denied credit. These disparities persist even after accounting for military service and rank, highlighting the need for targeted policy interventions. This brief recommends three evidence-based strategies: reforming credit assessment practices, establishing dedicated funding programs for URM veteran entrepreneurs, and creating mentorship networks that address intersectional challenges. Implementing these policies …

Is Military Service A Social Mobility Mechanism? Military Participation And Socioeconomic Benefits—Recommended Research And Data Resources, Corri Zoli, Linda Euto, Rosalinda Maury

The Lender Center for Social Justice

This research brief shares research and data resources that examine how military participation, particularly professional training and education, function as mechanisms for social mobility, leading to higher socioeconomic advantages among U.S. military members and veterans, including minorities.

The Effects Of Yoga In The Classroom On Social-Emotional Learning And Student Focus, Emily Wall

Capstones, Research Projects, and Curricula

This study investigated how students respond to brief yoga and breathwork practices being introduced in a high school biology classroom, specifically looking at the impacts to students’ social-emotional competencies, engagement, and academic focus. The theory of action guiding this inquiry was that embedding yoga practices into the classroom would decrease physical tension, decrease anxiety, increase self-esteem, and improve concentration, thus supporting their ability to engage and focus during learning tasks. The inquiry examined how students respond to a daily 10-minute yoga sequence implemented over three weeks (six class sessions). Data was collected through multiple tools, including a researcher-designed pre- and …

Annual Report, Fiscal Year 2024/2025, Tennessee. Department Of Safety & Homeland Security.

Annual Report

No abstract provided.

Aiding And Abetting Scientific Integrity In U.S. Federal Government Agencies, Keeley Townsend

Theses and Dissertations in Business Administration

Science can play a critical role in supporting sound public administration and policy decisions. However, the value that science provides to government decision-making is contingent on a government’s scientific integrity standards and the degree to which employees adhere to those standards when conducting, managing, using, or communicating about science. Within the U.S. federal government, scientific integrity standards have historically been defined and applied inconsistently, at times resulting in harmful government actions.

Since at least 2000, the U.S. Congress and several executive administrations have taken steps to strengthen scientific integrity in government operations. One recent step included requiring all federal government …

Bridging Assessment And Implementation A Toolkit For Improving Quality In Preschool Settings, Virginia M. Roundy

Electronic Theses, Projects, and Dissertations

High-quality early childhood education (ECE) is foundational to children’s development and long-term success, yet ensuring consistent quality across diverse programs remains a persistent challenge. This project examines how assessment data, particularly from the Classroom Assessment Scoring System (CLASS), 2nd Edition, can be transformed from static evaluations into dynamic tools for professional growth. While CLASS observations provide reliable measures of teacher–child interactions, their greatest potential emerges when these data are translated into actionable guidance that informs daily practice.

To bridge the gap between assessment and implementation, this paper presents a comprehensive Assessment Toolkit composed of three integrated components: assessor-written summary reports, …