Digital Commons Network^™

Farming With Data: Tracing Critical Tensions Using Data Science For Food Justice, Marc Sager, Maximilan Sherard, Anthony Petrosino

Publications

In this manuscript, we explore the intersection of artificial intelligence (AI) and equitable learning in higher education, focusing on data science as a subset of AI and social justice as the core theme of equity. Our investigation sheds light on the nuanced tensions inherent in employing data science for social justice. Rooted in situated perspectives of learning and consequential learning, our study employs an instrumental case-study methodology and analysis techniques from interaction and conversation analysis. Collaborating with three undergraduate students and an urban farm, the students used data science practices to highlight inequities surrounding food justice and access to food. …

Safety And Efficacy Of Deep Tms For Adolescent Depression Based On Large Real-World Data Analysis, Yiftach Roth, Aron Tendler, Gaby S Pell, Teejay Tripp, Philip Yam, Dianne Dekeyser, Mah Mekolle, Jayson Tripp, Aaron J Dahl, Owen S Muir, Carlene M Macmillan, Kevin R Rosi, Steven A Harvey, Teresa Poprawski, Kevin M Kinback, Oluremi Adefolarin, Alexander Rohr, Mark E Blair, Diana Ghelber, Raymond Y Cho, Hannah R Kelly, Raymond C Garcia, Amita Jha, Richard A Bermudes, Colleen A Hanlon

Staff and Researcher Publications

Adolescent major depressive disorder (MDD) is a prevalent and serious mental health condition. Pharmacological treatments are commonly used but often have poor tolerability and severe side effects, such as suicidal ideation. Deep transcranial magnetic stimulation (TMS) is currently cleared treating MDD in individuals 22-86 years old. This post-marketing surveillance study was designed to evaluate the safety and efficacy of using this tool as a treatment for MDD in younger patients. Data were collected from 56 sites, resulting in 1257 patients that met inclusion criteria (e.g. 11-21 years old, H1 coil, 18 Hz or iTBS, treatment-resistant MDD). Treatment was well tolerated …

Lack Of Relationships Between Ketamine Treatment And Peripheral Neurotrophic And Inflammatory Factors In A Randomized Controlled Ketamine Trial Of Major Depressive Disorder, Manivel Rengasamy, Benjamin Panny, Zakary Hutchinson, Anna Marsland, Tessa Kovats, Angela Griffo, Crystal Spotts, Robert H Howland, Meredith L Wallace, Sanjay J Mathew, Shabnam Hossein, Rebecca B Price

Staff and Researcher Publications

Background: Ketamine is a rapid-acting treatment for treatment-resistant depression (TRD), though mechanisms related to ketamine's effects remain unclear. Blood-based neurotrophic and inflammatory factors (NIFs; e.g., brain-derived neurotrophic factor, interleukin-6) have emerged as markers potentially linked to ketamine and ketamine treatment response.

Methods: In this secondary analysis of a randomized controlled trial (RCT), 133 adults with TRD received a single-dose infusion of ketamine (n = 89; 0.5 mg/kg) or saline (n = 44) and provided measures of peripheral blood NIF levels and depression severity across a five-day post-infusion period. Differences between ketamine and saline groups were examined for (1) NIF levels, …

Plasminogen Mutation-Associated Thrombotic Microangiopathy And Role Of Anticoagulation: A Single Institution Case Series, Camila Masias, Anuja Java, Spero Cataland

Faculty, Staff and Students Publications

Background: Knowledge gaps exist regarding the role of coagulation pathway mutations such as those in the plasminogen (PLG) gene in the pathogenesis of thrombotic microangiopathy (TMA) and treatment outcomes.

Objectives: This study aims to describe the unique phenotypic features of patients with PLG mutations and perform structural mapping of the variants to enhance variant interpretation.

Methods: This was a single-center retrospective study of patients with TMA in whom genetic testing was performed between 2011 and 2023. Data were collected regarding demographics, clinical features at their first presentation, renal outcomes, genetic mutations, and recurrence for those who were found …

Genome-Wide Approaches To Bacterial Strain Typing: A History And Review Of Recent Methodological Advances

Faculty, Staff and Student Publications

Purpose of review: Whole genome sequencing (WGS) has transformed bacterial strain typing, an essential tool for outbreak detection, antimicrobial resistance surveillance, and tracking clonal emergence across clinical, research, and public health settings. Herein, we will review recent advances in WGS-based bacterial strain typing methods for purposes of comparison and classification with a focus on improvements in variant identification, strain classification, and transmission assessment.

Recent findings: Advances in sequencing technologies as well as variant calling methodologies and parameter optimization have enhanced the precision and accuracy of single nucleotide variant identification. Hierarchical clustering of gene-by-gene strain typing, combined with novel data management …

A Large-Scale Genome-Wide Study Of Gene-Sleep Duration Interactions For Blood Pressure In 811,405 Individuals From Diverse Populations, Aldi T Kraja, Wenyi Wang, Michael R Brown, John L Morrison, Ayush Giri, Jeffrey R O'Connell, Traci M Bartz, Lisa De Las Fuentes, Valborg Gudmundsdottir, Xiuqing Guo, Sarah E Harris, Zhijie Huang, Mart Kals, Minjung Kho, Christophe Lefevre, Jian'an Luan, Leo-Pekka Lyytikäinen, Massimo Mangino, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Botong Shen, Stefan Stadler, Quan Sun, Jingxian Tang, Sébastien Thériault, Adriaan Van Der Graaf, Peter J Van Der Most, Yujie Wang, Stefan Weiss, Kenneth E Westerman, Qian Yang, Tabara Yasuharu, Wei Zhao, Wanying Zhu, Drew Altschul, Md Abu Yusuf Ansari, Pramod Anugu, Anna D Argoty-Pantoja, Michael Arzt, Hugues Aschard, John R Attia, Lydia Bazzanno, Max A Breyer, Jennifer A Brody, Brian E Cade, Hung-Hsin Chen, Yii-Der Ida Chen, Zekai Chen, Paul S De Vries, Latchezar M Dimitrov, Anh Do, Jiawen Du, Charles T Dupont, Todd L Edwards, Michele K Evans, Tariq Faquih, Stephan B Felix, Susan P Fisher-Hoch, James S Floyd, Mariaelisa Graff, Charles Gu, Dongfeng Gu, Kristen G Hairston, Anthony J Hanley, Iris M Heid, Sami Heikkinen, Heather M Highland, Michelle M Hood, Mika Kähönen, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Setoh Kazuya, Tanika N Kelly, Pirjo Komulainen, Daniel Levy, Henry J Lin, Peter Y Liu, Pedro Marques-Vidal, Joseph B Mccormick, Hao Mei, James B Meigs, Cristina Menni, Kisung Nam, Ilja M Nolte, Natasha L Pacheco, Lauren E Petty, Hannah G Polikowsky, Michael A Province, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Stephen S Rich, Renata L Riha, Lorenz Risch, Martin Risch, Edward A Ruiz-Narvaez, Rodney J Scott, Colleen M Sitlani, Jennifer A Smith, Tamar Sofer, Maris Teder-Laving, Uwe Völker, Peter Vollenweider, Guanchao Wang, Ko Willems Van Dijk, Otis D Wilson, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Xiaofeng Zhu, Jennifer E Below, Carsten A Böger, David Conen, Simon R Cox, Marcus Dörr, Mary F Feitosa, Ervin R Fox, Nora Franceschini, Sina A Gharib, Vilmundur Gudnason, Sioban D Harlow, Jiang He, Elizabeth G Holliday, Zoltan Kutalik, Timo A Lakka, Deborah A Lawlor, Seunggeun Lee, Terho Lehtimäki, Changwei Li, Ching-Ti Liu, Reedik Mägi, Fumihiko Matsuda, Alanna C Morrison, Brenda Wjh Penninx, Patricia A Peyser, Jerome I Rotter, Harold Snieder, Tim D Spector, Lynne E Wagenknecht, Nicholas J Wareham, Alan B Zonderman, Kari E North, Myriam Fornage, Million Veteran Program, Adriana M Hung, Alisa K Manning, James Gauderman, Han Chen, Patricia B Munroe, Dabeeru C Rao, Diana Van Heemst, Susan Redline, Raymond Noordam, Heming Wang

Faculty, Staff and Student Publications

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health …

Autoantibody Profiling To Predict Response To The Anti-Pd-1 Therapy, Pembrolizumab, In Rare Tumors, E Kwiatkowski, M Bräutigam, A-S Lindemann, B A Abhari, M A Gouda, L Castillo, A Zarifa, J A How, E Rodriguez, J T Moyers, D S Hong, S Fu, F Meric-Bernstam, A Naing

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) have limited response rates in selected patients and can cause potentially life-threatening immune-related adverse events (irAEs). This underscores the urgent need for the development of biomarkers predictive of ICI response. Pre-existing autoantibodies (AAbs) have been linked with responses to ICIs and the development of irAEs. We conducted AAb profiling to assess associations between baseline AAbs and clinical benefit (CB) in patients with rare tumors treated with anti-programmed cell death protein 1-based therapy.

Patients and methods: We conducted AAb profiling using Oncimmune's SeroTag multiplex antibody discovery technology and immune oncology array containing 1168 antigens. The study …

Evaluating The Antimicrobial Properties Of Different Dental Cleaning Tablets Against S Aureus Grown On Two Denture Base Materials

Faculty, Staff and Student Publications

Objectives: This study aimed to evaluate the antimicrobial efficacy of three commercially available denture cleaning tablets Efferdent, Polident, and Val-clean against Staphylococcus aureus biofilms formed on two denture base materials: milled polymethyl methacrylate (PMMA) and 3D printed denture resin.

Material and methods: Eighty samples were fabricated, with 40 specimens per denture base material: CAD/CAM milled PMMA (Lucitone Digital Fit LT; Dentsply Sirona, Charlotte, NC, USA) and 3D printed resin (Denture Base Resin; Formlabs Inc., Somerville, MA, USA). Each group was divided into four subgroups (n = 10), Efferdent, Polident, Val-clean, and deionized water (control). Surface roughness was measured using a …

A Comparative Study Of Recent Large Language Models On Generating Hospital Discharge Summaries For Lung Cancer Patients, Kirk Roberts, Licong Cui, Cui Tao, Hua Xu

Faculty, Staff and Student Publications

Objective: Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care. Recent advancements in large language models (LLMs) have significantly enhanced their capability in understanding and summarizing complex medical texts. This research aims to explore how LLMs can alleviate the burden of manual summarization, streamline workflow efficiencies, and support informed decision-making in healthcare settings.

Materials and methods: Clinical notes from a cohort of 1,099 lung cancer patients were utilized, with a subset of 50 patients for testing purposes, and 102 patients used for model fine-tuning. This study …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, Gamal Abdel-Azim, Muhammad Ali, Lijun An, Federica Anastasi, David Bennett, Alexa Pichet Binette, Adam L Boxer, Martin Bringmann, Jeffrey M Burns, Carlos Cruchaga, Jeff L Dage, Amelia Farinas, Luigi Ferrucci, Caitlin A Finney, Mark Frasier, Oskar Hansson, Timothy J Hohman, Erik C B Johnson, Mika Kivimaki, Roxanna Korologou-Linden, Agustin Ruiz Laza, Allan I Levey, Inga Liepelt-Scarfone, Lina Lu, Niklas Mattsson-Carlgren, Lefkos T Middleton, Kwangsik Nho, Hamilton Se-Hwee Oh, Ronald C Petersen, Eric M Reiman, Oliver Robinson, Jeffrey D Rothstein, Andrew J Saykin, Artur Shvetcov, Chad Slawson, Bart Smets, Marc Suárez-Calvet, Betty M Tijms, Maarten Timmers, Fernando Vieira, Natalia Vilor-Tejedor, Pieter Jelle Visser, Keenan A Walker, Laura M Winchester, Tony Wyss-Coray, Chengran Yang, Niranjan Bose, Simon Lovestone, The Global Neurodegeneration Proteomics Consortium (Gnpc)

Faculty, Staff and Student Publications

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging and subtyping of these conditions. High-dimensional molecular studies in biofluids ('omics') offer promise for scalable biomarker discovery, but challenges in assembling large, diverse datasets hinder progress. To address this, the Global Neurodegeneration Proteomics Consortium (GNPC)-a public-private partnership-established one of the …

Pain Acceptance In Chronic Postoperative Pain: Concept Analysis

Faculty, Staff and Student Publications

Purpose: Chronic postoperative pain (CPOP) is a potential outcome of otherwise successful surgery that can persist for months, with its prevalence varied by surgical type, genetic predispositions, and psychosocial factors. Pain acceptance offers better outcomes to these patient populations by fostering a willingness to experience pain without resistance. This analysis examines how pain acceptance contributes to psychological well-being, helps reduce opioid misuse, and enhances quality of life, even in the presence of CPOP.

Design: The concept analysis approach follows Walker and Avant's framework (2019).

Methods: A literature search across PubMed, Web of Science, and CINAHL yielded 276 articles, of which …

Multi-Crop Systems And Crop-Switching Strategies To Enhance Water Use Efficiency And Climate Resilience In Arid Agricultural Regions, Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Agriculture in the Lower Colorado River (LCR) region faces mounting challenges from climate change, arid conditions, and water scarcity. This study evaluates water use efficiency (WUEc) and crop-switching strategies under SSP2-4.5 and SSP5-8.5 scenarios for 2025–2049, 2050–2074, and 2075–2099. Using historical data, climatic drivers such as temperature and precipitation were analyzed for their influence on key crops, including durum wheat, winter wheat, and corn. Results show SSP2-4.5 supports water use reductions up to 16%, stable profits (80–90%), and modest calorie increases (up to 15%), while SSP5-8.5 poses severe challenges, with water use reductions of 2–5%, profits dropping to around 20%, …

Explainable Machine Learning Surrogate Modeling For Exit Gradient Prediction In Hydraulic Structures Using Numerical Simulations, Prayas Rath, Jianting Zhu, Kevin M. Befus

Geosciences Faculty Publications and Presentations

Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in complex geological settings. This study develops an XGBoost-based machine learning surrogate model trained and tested on 8,000 MODFLOW numerical simulations to predict exit gradients under varying hydraulic and geological conditions. The data set covers numerous parameters, including anisotropy, head differences, structure width, cut-off wall depth, aquifer thickness, and uninterrupted riverbed length. The coefficient of determination for test data is 0.88, demonstrating reliable exit gradient prediction …

A Multi-Source Remote Sensing-Based Geocommunication Tool For Global Flood Monitoring And Management, Ebrahim Hamidi, Brad Peter, Hamed Moftakhari, Hamid Moradkhani

Geosciences Faculty Publications and Presentations

Global warming is expected to increase the frequency of extreme flooding, making rapid and accurate flood mapping crucial for effective risk assessment. Many governmental agencies and organizations are developing flood risk assessment tools; however, due to the lack of observational records, some rely on probabilistic generated data, uncalibrated simulations, or terrain-based methods, all of which are subject to various types of uncertainty. Although remote sensing provides valuable flood data with global coverage, single-source reliance is constrained by satellite revisit rates, resolution, weather conditions, and sensor limitations. To address these challenges, this study introduces a user-friendly application on the Google Earth …

An Examination Of How Black Church Leaders Support The Long-Term Impact Of Trauma In The Black Community: A Qualitative Transcendental Phenomenological Study, Loretha J. Mccullough

Education Doctoral

The prevalence of mental illness due to untreated childhood trauma continues to be a concern, particularly for Black people. The consequence of obtaining formal treatment is perceived to be discriminatory and stigmatizing in the Black culture. Instead, the preferred method of treatment is religious coping. The purpose of this transcendental phenomenological study was to examine how Black clergy leaders support the long-term impact of trauma in the Black community. The primary source of data collection was semi-structured interviews. These interviews captured the essence of how Black clergy leaders described their preparedness to effectively advise, and counsel congregants on mental health …

Madam President: Navigating The Journey Of Black Women To Executive Leadership In Higher Education, Tressi Daymon

Education Doctoral

The purpose of this phenomenological qualitative study is to examine the leadership trajectories of Black women in senior executive roles in higher education, with a focus on the barriers and supports that have shaped their careers. Semi-structured interviews gathered perspectives on their lived experiences, capturing both the challenges they faced and the strategies used in their journeys. These strategies included networking, skill-building, advocacy, and resilience, reflecting how these women navigated and overcame the unique leadership challenges they faced. Black feminist theory and intersectionality provided the theoretical framework to explore how race and gender biases uniquely affected their leadership journeys. Data …

Examining The Perspectives Of Charter School Leaders And Teachers Regarding Post-Covid- 1 9 Leadership Support, Shantalee Pryce

Education Doctoral

The purpose of this qualitative study was to examine the perspectives of charter school leaders and teachers regarding leadership support, a major factor in teacher attrition. The study identified the challenges encountered by teachers and identified leadership practices and professional development opportunities that enhance leadership support to improve retention strategies in charter schools. The iterative model of adaptive leadership was used as the theoretical framework. The researcher collected and examined the perspectives and experiences of ten educators from two charter school organizations in Western New York, both serving urban middle school students . Data were collected through semi-structured interviews and …

Testbed As A Service (Taas): A Scalable Ecosystem For Smart Manufacturing And Industry 4.0 Collaboration, M. R. Mccormick, Thorsten Wuest

Faculty Publications

Emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) depend on significant quantities of data to generate the actionable insights required to drive real-time decision making. Data scarcity and limited access to testbeds which produce data inhibit the development of emerging technologies and the technical expertise required to leverage them. To enhance testbed access and data availability, this paper proposes a novel strategy for realizing a scalable ecosystem for collaboration underpinned by a novel method for data acquisition, distribution, and utilization. Exemplified by a proof of concept, the proposed strategy aims to broadly accelerate research and improve education.

The Effects Of Temperature And Cardiotonic Steroids On Cardiac Function And Metabolism In Snakes, Hannah Wilson

All Graduate Theses and Dissertations, Fall 2023 to Present

The function of the heart provides a window into the physiology of vertebrates and a means of evaluating their response to the stresses imposed by diverse activities. I developed a miniaturized instrument to record electrocardiograms (ECGs), using open-source Arduino technology, that a snake can wear as a backpack. The backpack can also be used when the snake is in a metabolic chamber, to record the metabolic rate and ECG simultaneously. I first used the ECG backpack to record the physiology of snakes under different temperature conditions, to verify that the system worked as expected. the backpack was then used on …

Sustainable Planning In Gateway Natural Amenity Region Communities, Kori Ann Kurtzeborn

All Graduate Theses and Dissertations, Fall 2023 to Present

This study used six principles of sustainability to comprehensively score general plan documents from seven Gateway Natural Amenity Region (GNAR) communities. The goal was to investigate the sustainability values of communities with public land recreation access based on the understanding that individual participation in outdoor recreation positively influences environmental concern. The study found that while strong sustainability themes are present in gateway community general plan documents, these themes don’t necessarily correspond to higher overall sustainability scores. However, GNAR community plans prioritize the Harmony with Nature principle, indicating an emphasis on ecosystem health in communities with adjacent public land recreation.

Cultural Adaptation Of The Act Guide For Immigrant Community Members, José Manuel González Vera

All Graduate Theses and Dissertations, Fall 2023 to Present

Undocumented immigrants face many challenges that can harm their mental health, such as anti- immigrant policies, the threat of deportation, and difficulty accessing mental health care. Online mental health programs can make mental health care more accessible. The ACT Guide is a self-paced online tool designed to help with anxiety and depression. While it has mainly been used by white college students, similar ACT-based programs have been effective for diverse communities worldwide. The first paper was focused on gathering feedback from community members and Latine psychologists. This was done in partnership with United We Dream (UWD) and the Latinx Immigrant …

"I Was In The Story": The Relationship Of Oral Storytelling With Student Hope, Narrative Transportation, And Religious Beliefs, Jacob B. Earnest

All Graduate Theses and Dissertations, Fall 2023 to Present

This study investigated the potential relationships with oral storytelling and student narrative transportation levels, student hope levels, and student religious beliefs. The Children’s Hope Scale and the Transportation Scale-Short Form were to assess hope levels and narrative transportation levels in participants. Results suggest that oral storytelling may have a strong relationship with narrative transportation. A relationship with oral storytelling and student religious beliefs is also suggested. Oral storytelling and student hope levels, and the possible connection between student narrative transportation levels and student hope levels, needs further research.

An Embodied Social Demography For Trans And Nonbinary Workers, Jesse Ezra Shircliff

All Graduate Theses and Dissertations, Fall 2023 to Present

Recently, the separation of “sex” and “gender” has seen intense debate in public discourse, stemming from skepticism about the social sciences and the measurement and study of gender specifically. Meanwhile, the United States population is becoming more gender diverse, with roughly 1 in 200 people now identifying as trans gender or gender nonbinary (that is, as a gender that is different from that person’s sex assigned-at-birth or outside of the sex-gender binary). This growing population experiences numerous disadvantages across social life, including obstacles in one particularly important aspect of the American Dream: the right to have and hold a job. …

Adapting To Change In Amenity-Oriented Communities: Innovative Strategies For Shifting Social And Environmental Needs, Emma L. R. Epperson

All Graduate Theses and Dissertations, Fall 2023 to Present

Amenity-oriented communities are places with significant and desirable natural amenities that are highly visited and plentiful within the Intermountain West. These high rates of visitation create complex challenges such as congestion in recreation spaces and in towns and increase costs of living. These communities are typically rural and often do not have the resources, funding, or infrastructure to combat these challenges. Although tourists provide financial stability and other amenities to these towns, local wellbeing is highly impacted. Outdoor recreation and the nature connections derived from outdoor experiences are major contributors to wellbeing in amenity communities. This research investigates the changes …

The Recreation Opportunity Spectrum In Practice: A Classification Of Visitors And Sites In The Roaring Fork Valley, Colorado, Usa, Jessica Bruck

All Graduate Theses and Dissertations, Fall 2023 to Present

Researchers and public land managers continue to investigate what motivates visitors to recreate and how to best sustain environmental conditions to provide for these recreation demands and support conservation goals. Much recreation research has successfully identified visitor motivations at a single recreation area (spatial scale), but few studies broadly assess the manifestation of visitor motivations at an array of recreation areas that present unique recreation experience opportunities. Additionally, it is known that there are a diversity of visitor motivations and preferences, which presents a complex challenge to public land managers who must ensure that a diversity of recreation opportunities are …

Ecology And Management Of Forest Grouse: Breeding Acoustic Monitoring, Spatial Behavior, And Harvest, Logan Clark

All Graduate Theses and Dissertations, Fall 2023 to Present

Forest grouse are difficult to study and manage in the Intermountain West because they live in remote, rugged areas and do not gather at predictable display sites like other grouse species. From 2023 to 2025, I studied two species, dusky grouse (Dendragapus obscurus) and ruffed grouse (Bonasa umbellus), to test new survey tools, track their seasonal movements, and evaluate hunting impacts.

First, I tested whether small audio recording devices placed in the forest could minimize labor needed for spring breeding surveys. To do this, I conducted traditional surveys with human observers at the same time and …

Exploring Biotic And Abiotic Drivers Of Ecosystem Properties: The Influence Of Waterbirds And Photodegradation On Wetland Ecosystems, Lindsay Miller

All Graduate Theses and Dissertations, Fall 2023 to Present

Wetlands provide a wide range of valuable ecosystem services: these are benefits from the environment that support human well-being, such as water filtration, fish and bird habitat, and shoreline protection. Despite their importance, wetlands are among the most threatened ecosystems, facing increasing pressure from natural and human activities. To better predict the future of wetlands and guide effective management and restoration practices, we need to understand the various forces shaping their ecological properties. In this thesis, we examined the influence of two forces: waterbirds and photodegradation (the process by which sunlight breaks down plant material). To explore each of these …

An Exploratory Study Of The Vertical Snarc Effect In Mayan Numerals: Effects Of Language Transparency And Reading Direction, Emmett A. Speed

All Graduate Theses and Dissertations, Fall 2023 to Present

The Mayan numerical system, used by the ancient Maya people, is very different from the Western Arabic numerical system. Instead of being based on 10, it's based on 20, and it uses dots and bars instead of the numbers 0 through 9. This study explored how people learn and understand Mayan numbers.

Participants took a 2.5-hour online course to learn Mayan numerals and number words. They were tested to see how quickly and accurately they could recognize and compare Mayan numerals. The results showed that people can learn the Mayan number system and use it automatically.

The study also looked …

Unwritten Rules: Black Utahns’ Experience With De Facto Segregation In Utah, 1940-1965, Jasmine Mercedes Lowe

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis examines life in Utah during the Jim Crow era, utilizing oral history interviews with African Americans who lived in the state between 1940 and 1965. The interviewees selected for this project describe their personal experiences with housing, employment, public spaces, medical assistance, and education discrimination.