Digital Commons Network^™

Multivariate Mixture Regression Models With Known Group Membership And Informative Priors, Pahalapathirage Dona Kalani Hasanthika

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

We introduced couple different novel approaches to incorporate latent variable information to multivariate mixture regression models with both Gaussian and count data. We also evaluated the performance of these models with existing best approaches with simulated data from various sampling structures and also evaluated one of the models performance with rice metabolite data that provided some novel insights as well as validating existing literature about performance and behavior of these metabolites. We validated the method using extensive simulations and a real-world application. In both quantitative covariate designs and complex treatment design simulations, our method consistently outperformed established tools like limma, …

From Classroom To Content Creator: Leadership Practices And Identities Of Female Science Teachers On Tiktok, Rachel M. Benzoni

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This qualitative multiple case study investigates how four secondary science teachers use TikTok to advocate for science education and how content creation shapes their professional identities as leaders. Using interviews and video content with a framework integrating constructivist leadership, Leader Identity Construction Theory (LICT), and the Social Change Model (SCM), findings show participants enacted leadership outside formal roles through distributed and relational practices leveraging social media's affordances. Five themes emerged from the analysis: (1) Reconceptualizing Teacher Leadership on Social Media, (2) Leadership Through Equity-Driven Practice, (3) Constructing and Leading in Online Professional Learning Communities, (4) Forming and Negotiating Identities in …

How Beliefs Shape What We Consider When Choosing What To Eat, Christopher Gustafson

Cornhusker Economics

What determines which foods we consider? One factor, certainly, is what we like to eat, and if liking what we eat were the sole relevant outcome of food consumption, there would be little to say about incomplete consideration. However, diet quality has important, well-documented effects on health outcomes (as well as other important considerations, such as differential environmental impact). Close to 75 percent of American adults are overweight or obese, which increases the likelihood that the individual will experience one or more serious non-communicable diseases. A food’s healthiness is an important consideration for many people when making food choices, but, …

Distributional Records Of Blanding’S Turtles (Emydoidea Blandingii) In Nebraska, Sam Thede, Dan Fogell, Keith Geluso

Transactions of the Nebraska Academy of Sciences and Affiliated Societies

Blanding’s Turtle (Emydoidea blandingii) is a species of concern in North America as many populations have declined across its distribution. Environmental factors associated with alteration of natural ecosystems have played a role in declines leading to many isolated populations. Most populations exist in the Great Lakes region with a number of outlying populations, such as Nebraska. Understanding the current distribution of the species will facilitate regional management strategies to protect this species into the future. In Nebraska, Blanding’s Turtles were known from 23 counties prior to this study. Herein, we report on eight new county records, five (Blaine, …

Simulated Walleye Responses To Various Harvest Regulations In A Nebraska Reservoir, Mikael Ranta, Melissa Wuellner, Keith D. Koupal

Transactions of the Nebraska Academy of Sciences and Affiliated Societies

Recreational fishing provides sociological and economic benefits, and fish populations are managed by state agencies to meet angler expectations. One of the most popular species in Midwest reservoirs are walleye (Sander vitreus), and most of these fisheries have established restrictions on the number and sizes of fish harvested. Regulations are set based on population structure and dynamics and management goals, but often agencies have incomplete information needed to establish regulations. Predictive models can provide insight on population responses and inform managers of the tradeoffs between angler restrictions and population sustainability. Lake McConaughy, Nebraska, supports a popular walleye fishery. …

Cropland Acres Vs Base Acres In Nebraska, Jessica J. Groskopf, Cory Walters

Cornhusker Economics

Discusses cropland acres versus base acres in Nebraska.

Zambia's Poor Septic Waste Management: A Disaster In Waiting, Andrew Mwape

School of Natural Resources: Faculty Publications

In the shadows of Zambia’s rapidly growing urban and peri-urban communities lies an invisible but mounting threat, the mismanagement of septic waste. While national dialogue often focuses on economic development, climate change, or energy, the sanitation crisis receives little public attention, yet it poses an equally severe risk to public health, environmental integrity, and sustainable urbanization. Zambia’s poor septic waste management, if left unaddressed, is a disaster in waiting.

Septic waste refers to the wastewater and solid waste that flows from toilets, sinks, and other domestic plumbing fixtures into on-site sanitation systems such as septic tanks or pit latrines. This …

Veterinary Drug Residue Regulations In Major U.S. Export Markets, Elliott James Dennis, Akinbode Okunola

Cornhusker Economics

Trade agreements shape the global agricultural trade landscape, encompassing both tariff and non-tariff measures. Among the latter, sanitary and phytosanitary (SPS) measures such as maximum residue limits (MRLs) are gaining attention. As trade tensions escalate, there is growing concern that countries could use SPS measures as a tool of retaliation in international agricultural markets, as they are often a focal point in trade negotiations (Disdier and Marette, 2010; Disdier and van Tongeren 2010; Grant et al., 2015).

Questioning In Contested Spaces And Cultural Currents In Popular Culture And Pedagogy: Book Bans, Music, Horror And Poetry, Anna Cohenmiller

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

Questioning in contested spaces and cultural currents in popular culture and pedagogy: Book bans, music, horror and poetry

How do the texts we encounter affect, and reflect, the cultures in which we live? How about the educational spaces and the communities we inhabit? How might we engage with popular culture texts to better understand today, and create more inclusive futures?

Kusamakura And Bunchō, Natsume Sōseki, Umeji Sasaki, Hyakusui Hirafuku, Paul Royster

Zea E-Books Collection

Kusamakura—literally “grass pillow”—is a Japanese expression for being “on the road,” away from home, relying on the hospitality of others. Natsume Sōseki’s novel concerns a painter-artist on holiday at a hot springs hotel where he is the lone guest. His encounters with the locals—including a tea-shop matron, a drunken barber, a wood-gatherer, an abbot of a Zen monastery, the hotel proprietor, and, most intriguingly, his lovely enigmatic divorced daughter—prompt reflections and musings on the nature of art and its relation to real life. How can one experience life and still represent it in literature or art? Doesn’t art require …

Larger Price Limits For Cattle Futures Contracts: Should We Pay Attention To That?, Fabio Mattos

Cornhusker Economics

The CME Group has recently announced an increase in price limits for its cattle futures contracts. This means that cattle futures prices now have a wider range to fluctuate on any given day, and the possibility of larger price fluctuations implies that traders may find larger gains as well as larger losses in their trading accounts at the end of the day. This is certainly something that people trading in futures markets should be aware of, but the change in price limits itself is just a regular update that happens every year. Let's take a closer look at this.

Groundwater Flooding On Highways In The Nebraska Sandhills: Applying Remote Sensing, Precipitation And Groundwater Modeling To Determine Depth, Cause And Frequency, Aaron R. Mittelstet

Nebraska Department of Transportation: Research Reports

Climate change significantly impacts infrastructure sustainability, particularly through shifts in precipitation patterns, intensity, and duration. These precipitation dynamics may increase the occurrence of surface water and groundwater flooding. Groundwater in the Nebraska Sand Hills (NSH), including the thickest portions of the High Plains Aquifer, extends close to the land surface in interdunal areas, making the NSH vulnerable to groundwater flooding. Recent events involving heavy precipitation, snow melt, and rising groundwater levels have caused prolonged highway flooding, disrupting transportation networks. This study estimates groundwater flood inundation depth, duration and frequency in the highways of NSH using remote sensing techniques and groundwater …

Geophysical Tools For Agricultural Management: Trends, Challenges, And Opportunities, Sophia Becker, Trenton Franz, Yufeng Ge, Joe Luck, Derek M. Heeren

School of Natural Resources: Faculty Publications

Agrogeophysics is a convergence of proximal soil sensing and hydrogeophysics in which geophysical methods are used to describe soil patterns and dynamics that shape agronomic management (including precision agriculture). To fully realize its potential for optimizing agricultural production, current barriers and targets for future agrogeophysics research must be identified. In this review, we compare the trajectory of agrogeophysics within peer-reviewed literature, patents, and the US university extension literature and examine the current challenges and opportunities for supporting agricultural production and sustainability with agrogeophysical tools. We conducted a repeatable search of Web of Science and Scopus for seven geophysical methods (electromagnetic …

Attitudes Towards Insects: An Attempt To Change Negative Attitudes To Neutral Or Positive, Christina Chapman

Department of Entomology: Distance Master of Science Projects

Purpose and Summary

The purpose of this project was to examine whether negative attitudes towards insects could be changed in children after learning about them in a safe and enjoyable environment. At the start of this project, I was a science teacher in an urban middle school, where most students were neither fond of nor interested in insects. This experience shaped my project: I wanted to change attitudes from negative to positive, transforming “eww gross, kill it!” into “let it live; it has a job to do.” Through my studies in the entomology program, my belief that insects are highly …

Up In Smoke: How Recent Court Rulings Have Torched Big Tech’S Litigation Strategy And Why It Matters, David Earl Wietlispach

Nebraska Law Bulletin (Selected Issues)

As the title of this paper suggests, there are parallels between what happened to Big Tobacco and what could happen to Big Tech should its litigation strategy fail. Big Tech, like Big Tobacco before it, could stand to lose billions of dollars in judgments and settlements. More importantly, regulations—if allowed to take root—could upend Big Tech’s platform business model. Either outcome, or both, could fundamentally rewrite the relationship between Big Tech and its users. If Big Tech’s litigation strategy truly goes up in smoke, these colossal corporations could find themselves in a magnificent mess.

Adaptation Planning To Mitigate Flood Risk: Bellevue, Nebraska As A Case Study, Michael Nti Ababio

Community and Regional Planning Program: Theses

Flooding remains one of the most pressing natural hazards in the United States, with increasing frequency and intensity driven by climate change. This thesis explores the adaptation planning strategies employed to mitigate flood risks in Bellevue, Nebraska, a city significantly impacted by the 2019 floods in eastern Nebraska. Using a mixed-methods approach, the study combines quantitative analysis of flood vulnerability with a critical review of local planning policies using documents, zoning ordinances and institutional frameworks. Spatial analytical tools such as Global Moran’s I and Hot Spot Analysis (Getis-Ord Gi*) were used to detect clustering of inundated buildings during the 2019 …

Ai Tools In Natural Resources And Environmental Systems For The Classroom, Research, Extension And Industry, Derek M. Heeren, C. T. Agouridis, Debabrata Sahoo, Isaya Kisekka, Trisha L. Moore

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

This white paper synthesizes a series of panel insights on AI adoption across education, Extension, research and industry contexts within natural resources and environmental systems. It emphasizes that while advanced machine learning and generative AI introduce structural shifts in autonomy, scale, and cognitive augmentation, their value lies in augmenting, not replacing, human expertise. Applied tool examples include decision‑support systems for rural water operators, HAB‑diagnosis apps integrating image classification and natural‑language guidance, an irrigation educational chatbot tailored to user background, and sensor‑driven orchard AI for light interception estimation and data gap filling. A recurring design imperative involves co‑development with end users, …

Data-Driven Methods For Signal Analysis And Nonlinear System Identification, Cristian Felipe López Ruano

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

In recent years, data-driven modeling has gained considerable attention in nonlinear system identification, offering a powerful alternative to traditional physics-based methods. This has been possible by advances in machine learning, sparse regression, and differential equations in a weak form, which allow the accurate capture of complex nonlinear dynamics, even when the measurements are in strong background noise. Moreover, integrating these models with physical knowledge further enhances their reliability and interpretability, making them suitable for a wide range of science and engineering applications.

In this dissertation, we investigate algorithms for data-driven nonlinear system identification to obtain ordinary differential equations that govern …

Water Current, Volume 57, No. 2, Summer 2025

Water Current Newsletter

No abstract provided.

Soil Health In Nebraska: Exploring Practitioners' Needs And Insights From A Long-Term Organic Farm, Ingrids Isabel Mata Vigil

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Soil health is foundational to sustainable agriculture, environmental resilience, and long-term food security. Yet, the adoption of soil health assessments remains limited, often perceived as too technical, costly, or difficult to implement in real-world contexts. To better understand these challenges, the first chapter presents findings from a statewide survey of 41 soil health practitioners in Nebraska, including farmers, extension educators, NRCS staff, and conservation professionals. Respondents highlighted the need for simpler, more accessible, and context-specific tools for soil health assessment that help practitioners make informed decisions aligned with their management goals. Complementing these insights, the second chapter includes an independent, …

The Lived Experience Of Religious Trauma Among Transgender And Gender Diverse People: An Interpretative Phenomenological Analysis, Patrick T. Meyer

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Religion has served as a framework to support the psychological well-being of people across cultures throughout human history, yet there is growing scholarly and public interest in how religious institutions and people inflict harm on members through spiritual means. Extant literature demonstrated that transgender and gender diverse (TGD) people experience gendered microaggressions in religious spaces, and their social position within the church likely holds unique insights into the subjective experience of religious trauma. Even though research with people who have had adverse religious experiences has increased over time, little is known about TGD people who experience lasting psychological damage due …

Development And Implementation Of A Vector-Quantized Transformer Autoencoder For Monitoring Bicycle Road Conditions, Kewei Ren

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Adviser: Chun-Hsing Ho

The long-term, sustainable assessment of bicycle road conditions is essential for ensuring cyclist safety and promoting equitable infrastructure management. While traditional detection methods based on manual thresholds have demonstrated some effectiveness, they carry limitations due to the diversity of pavement materials, cyclist behaviors, and sensor platforms. Although recent advances in deep learning offer promising alternatives, established techniques are primarily applied to highway anomaly detection and are rarely adapted for bicycle roads. Furthermore, most related studies lack clear definitions for anomalies and transparent annotation procedures, resulting in a shortage of effective datasets and detection methods specifically for bicycle …

Extracting From The Extracurriculum: Using Extracurricular Composition Practices To Bring Purpose, Voice, And Engagement Back To The English Classroom, Grace N. Ellis

Department of English: Dissertations, Theses, and Student Research

This thesis explores how principles and practices from extracurricular literacy spaces and the extracurriculum as a whole can inform and revitalize the secondary English classroom. In response to growing student disengagement, apathy, and disconnection, particularly within highly standardized and product-focused classrooms, this argument investigates how programs such as the Nebraska Writers Collective’s All Writes Reserved program and the University of Nebraska–Lincoln’s Young Writer Camp model authentic engagement, identity exploration and development, and rhetorical agency through creative, student-centered writing practices. Drawing from composition theory, educational research, and experiential data from Nebraska-based writing initiatives, the thesis argues that incorporating choice, safe-risk taking, …

The Effect Of Individual Variation On Epidemiological Dynamics: From Super-Spreaders To Landscapes Of Risk, Alexis Shannon Beagle

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Individuals that make up a population always display some level of variation between members. At the smallest scale, individuals always maintain genetic variation, but variation continues to arise at other scales of biological organization from physiological or immunological variation within individuals to variation in behavior between individuals that can be both genetically and environmentally mediated. The role of individual variation is particularly important in the context of infectious diseases because there is strong evidence that infections are highly heterogenous, indicating that patterns of individual variation drive a significant portion of the epidemiological patterns we observe. Individual variation leads to heterogeneity …

Use Of High-Throughput Phenomics With And Without Fungicide As A Wheat Breeding Tool, Gerardo Ivan Rivera Collazo

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Wheat (Triticum aestivum) is an important food staple for many countries around the world and current consumption and production data demonstrate a production deficit. Breeders are challenged to help close this gap in production by selecting better cultivars with improved yields. Several methods aim to accelerate the breeding process to reduce the time required for releasing an elite variety. One of the main breeding bottlenecks is the lack of fast and reliable phenotypic data acquisition that could dissect physiological and morphological plant data. High-throughput remote sensing could have the potential to reduce this bottleneck by streamlining data acquisition, …

A Study Of Ice And Fire: Environmental Change Impacts On Lakes Of The Nebraska Sandhills, Daniel Gschwentner

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The Nebraska Sandhills contain thousands of shallow, groundwater-fed lakes. These lakes are extremely sensitive to environmental and climatic changes due to their isolated hydrological setting and small volume. Building on previous work on the hydrology, geochemistry and long-term climate response of Sandhill lakes, my research considers how ecosystem processes such as primary production, nutrient limitation and water quality respond to short-term environmental and climatic change. In my first data chapter, I highlight that Sandhill lakes are nitrogen (N) but not phosphorus (P) limited and that N:P ratios are poor predictors of nutrient limitation status in Sandhill lakes. In my second …

Analysis Of Vision Transformers And Domain Adaptation In Long-Range Facial Recognition, Zachary Michael Swanson

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Atmospheric turbulence presents a significant barrier to long-range facial recognition, introducing severe geometric distortions and blur that degrade image quality. This thesis investigates deep learning approaches for mitigating these effects, with a focus on transformer based architectures and domain adaptation strategies.

An in-depth benchmarking study was performed using convolutional neural networks (CNNs) and vision transformers (ViTs) on the Husker BRIAR Research Collection from up to 500m (HBRC-500) face dataset. The results demonstrated that vision transformers, particularly hierarchical vision transformers like the shifted-window (Swin) transformer, outperform CNN-based models at long distances due to their ability to model global spatial relationships and …

Biocomputing Approach To Modeling And Modulating Calcium Signaling, Sehee Sun

School of Computing: Dissertations, Theses, and Student Research

Biocomputing is an emerging field that seeks to perform computational tasks using biological substrates and processes. Unlike conventional computing systems based on silicon hardware, biocomputing leverages the parallelism, energy efficiency, and complex dynamics of living systems. Among various cellular mechanisms, calcium (Ca2+) signaling stands out as a central regulator of diverse biological functions, offering a promising basis for programmable logic and control in living cells.

This thesis introduces a novel framework for modeling and modulating Ca2+ dynamics using biologically inspired Boolean logic circuits. Specifically, we propose the Ca2+ Boolean Logic (CaBL) model, in which Ca2+ fluxes and interactions are abstracted …

Cazyme Gene Cluster Diversity In Human Gut Microbiome, Yi Xing

Department of Food Science and Technology: Dissertations, Theses, and Student Research

In gut microbiome research, carbohydrate-active enzyme gene clusters (CGCs) have emerged as key functional units for understanding microbial glycan degradation. Unlike taxonomic or broad pathway annotations, CGCs offer gene-cluster-level resolution and capture substrate-specific microbial functions. However, their diversity and distribution in relation to host metabolic phenotypes, such as obesity, remain poorly characterized. This study tests the hypothesis that the composition and abundance of fiber-targeting CGCs vary between obese and healthy human gut microbiomes, reflecting distinct microbial carbohydrate utilization strategies. To examine this, we constructed a high-quality reference CGC dataset comprising 94,019 clusters from the Unified Human Gastrointestinal Genome and profiled …

Overcoming Maternal Antibody Interference In Swine Influenza: Advancing Dna Vaccine Strateies For Enhanced Immune Protection In Piglets, Danh Cong Lai

School of Veterinary and Biomedical Sciences: Dissertations, Theses, and Student Research

Maternally derived antibodies (MDAs) play a vital role in protecting neonates from infectious diseases, but their presence at the time of vaccination can interfere with vaccine-induced immune responses, thereby reducing vaccine effectiveness. MDA interference has been documented in pigs vaccinated with whole inactivated virus (WIV) vaccines against swine influenza A virus (IAV). In this thesis, we evaluated the efficacy of a lipid nanoparticle encapsulated DNA (LNP-DNA) vaccine against swine IAV in the presence and absence of MDAs, comparing it to a WIV vaccine. In MDA-negative piglets, both the LNP-DNA and WIV vaccines induced strong immune responses and effectively prevented the …