Physical Sciences and Mathematics Commons^™

Mines Of The Illinois-Kentucky Fluorspar District, Paul Puckett, Emily Morris, Georgina Lukoczki

Map and Chart--KGS

This map presents a unified compilation of mining and mineral resource information for the Illinois-Kentucky Fluorspar District (IKFD), integrating two previously published maps: Denny et al. (2020) for the Illinois portion and Anderson and Sparks (2012) for the Kentucky portion. While the Illinois side remains unchanged, the Kentucky side has been updated using newly compiled data from the Kentucky Geological Survey’s Kentucky Mineral Resources Information map service (https://kgs.uky.edu/KYMineral/). This composite map offers an improved and more comprehensive view of the IKFD, highlighting mineral occurrences, historical mining activity, and structural features of the district.

Structure On The Top Of Knox Group, Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman

Research Data--KGS

The deposits of critical minerals within the Kentucky-Tennessee Mineral District (KTMD) are hosted within the Late Cambrian to Early Ordovician carbonate rocks of the Knox Group. To aid in critical mineral assessments of the region, this research project produced a map (digital GIS dataset) of the subsurface structure of the top of the Knox Group: the Knox Unconformity surface. All the input data is from oil/gas well records and exploratory mineral core records because these rocks are not exposed within the study area. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky …

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, …

Being And Becoming In The Algorithmic Age, Bernard E. Harcourt

Faculty Scholarship

To change the world: the prerequisite, most often, is to change our experience of the world, to experience the world differently, to be shaken to our foundations, to have one’s sense of self shattered. That is a process of both being and becoming. In order to turn that process in our favour, in this age of artificial intelligence, it will be crucial to transform data and algorithms into bits of justice.

Hot Donors In Cataclysmic Variables: The Case Of Ei Psc, Jan Kára, S. Zharikov, M. Wolf, N. Vaidman, A. Agishev, S. Khokhlov, C. E. Chavez

Physics & Astronomy Faculty Publications

Context. We present results of time-resolved optical spectroscopy and photometry of the short-orbital period dwarf nova EI Psc.

Aims. This study aims to determine fundamental system parameters of EI Psc, study properties of accretion structures in the system, and investigate its origin and current evolution state.

Methods. We analyse newly obtained time-resolved spectroscopic and photometric observations as well as archival data. We used light curve modelling, Doppler tomography, and MESA evolutionary models to study the characteristics of EI Psc.

Results. The system contains a relatively low temperature (T_eff = 6130 K) white dwarf with mass of M …

Torus Probabilistic Principal Component Analysis, Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat, Claudio Agostinelli

Mathematical and Statistical Science Faculty Research and Publications

Analyzing data in non-Euclidean spaces, such as bioinformatics, biology, and geology, where variables represent directions or angles, poses unique challenges. This type of data is known as circular data in univariate cases and can be termed spherical or toroidal in multivariate contexts. In this paper, we introduce a novel extension of probabilistic principal component analysis (PPCA) designed for toroidal (or torus) data, termed torus probabilistic PCA (TPPCA). We provide detailed algorithms for implementing TPPCA and demonstrate its applicability to torus data. To assess the efficacy of TPPCA, we perform comparative analyses using a simulation study and three real datasets. Our …

Graph Convolutional Networks Enable Fast Hemorrhagic Stroke Monitoring With Electrical Impedance Tomography, J. Toivanen, V. Kolehmainen, A. Paldanius, A. Hänninen, A. Hauptmann, Sarah J. Hamilton

Mathematical and Statistical Science Faculty Research and Publications

Objective: To develop a fast image reconstruction method for stroke monitoring with electrical impedance tomography with image quality comparable to computationally expensive nonlinear model-based methods. Methods: A post-processing approach with graph convolutional networks is employed. Utilizing the flexibility of the graph setting, a graph U-net is trained on linear difference reconstructions from 2D simulated stroke data and applied to fully 3D images from realistic simulated and experimental data. An additional network, trained on 3D vs. 2D images, is also considered for comparison. Results: Post-processing the linear difference reconstructions through the graph U-net significantly improved the image quality, resulting in images …

Exploring Communication In Multi-Agent Cooperative Reinforcement Learning, Matthew Kalarickal

Math and Computer Science Honors Theses

This work focuses on communication strategies within a cooperative multi-agent reinforcement learning system. The goal is to explore how communication can be used among agents to potentially improve performance. The research operates within the scope of “learning tasks with communication,” where the primary aim is to solve domain-specific tasks through information exchange using explicit communication protocols. Three distinct communication strategies were implemented and explored: Combinatorial Ghost, Feature Sharing Ghost, and Move Sharing Ghost. Fully Centralized Training and Execution and Centralized Training with Decentralized Execution training approaches were based on the different communication strategy used. Performance metrics were recorded for these …

Exploring Subfield Interest Development In Undergraduate Physics Students Through Social Cognitive Career Theory, Dina Zohrabi Alaee, Benjamin M. Zwickl

Physics and Engineering Science

This study investigates how undergraduate physics majors develop an interest in specific subfields. We examine interest formation through the lens of social cognitive career theory (SCCT) using four SCCT constructs: learning experiences, self-efficacy, outcome expectations, and proximal environmental influences. We conducted 27 interviews with physics majors across multiple years of study between 2020 and 2022. Our first research question used SCCT constructs to provide detailed insights into factors affecting interest formation in various subfields of physics. We identified many factors that positively impacted students’ interests, such as positive learning experiences (e.g., coursework, experimental projects, extracurricular clubs, and self-directed learning), high …

Fisheries Science Update - Pilbara Fishing Competition Science 2020 To 2024 - July 2025, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

Key Points:

• Pilbara recreational fishing competitions are helping to track the sustainability of pelagic species like Spanish mackerel.
• Over 500 pelagic fish have been sampled at Pilbara fishing competitions over 5 years.
• This information goes towards DPIRD’s assessment of Spanish mackerel and monitoring the large pelagic resource in the North Coast Bioregion.

Exogenous Ketones Reduce Inflammation And Pathology In The Tgf344-Ad Rat Model, Amaya Rogers, Pheven Yohannes, Juan P. Carcamo, Preetham Gundlapally, Amaya Coker, Macy A. Seijo, Caesar M. Hernandez

Expo Student Presentations

2025 Summer Expo Poster Presentation

• Biological & Life Sciences
• Engineering
• Physical & Applied Sciences

A Uas-Centered Investigation Of Vorticity Characteristics And Cold Pool Structure Across Forward And Left-Flank Boundaries In Supercells, Mark R. De Bruin

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Supercell internal boundaries are the locus of tornadogenesis; thus, understanding the characteristics of these boundaries, particularly in terms of vorticity, is important for identifying the role they play in tornado formation. Insight into the overall characteristics of internal boundaries and their possible role in tornadogenesis have been driven by studies reliant on numerical modeling-based experiments. Observational studies often neglect above-surface conditions or, when these observations are made, lack the spatial resolution to resolve boundary characteristics. During TORUS (Targeted Observation by Radars and UAS of Supercells) 2019 and TORUS-LItE (TORUS Left-flank Intensive Experiment) 2023, uncrewed aircraft systems (UAS) and mobile mesonets …

Feasibility Of Using Recycled Waste Plastic In Concrete Pavements In Nebraska, Amasi Hajahja

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

Waste plastic (WP) is a growing environmental concern due to its non-biodegradable nature, large-scale production, and harmful impact on natural resources. With nearly 75% of WP in the United States ending up in landfills, effective recycling strategies are urgently needed. In parallel, the limited availability of natural aggregates highlights the need for alternative materials in concrete construction. This study investigates the feasibility of using recycled waste plastic (RWP) in concrete mixtures, both as aggregates and fibers for rigid pavement applications in Nebraska. Concrete mixtures were prepared by partially replacing natural fine aggregates with recycled plastic aggregates (RPA) at replacement levels …

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 …

Catching A Fever: A Comparison Of Vachellia Xanthophloea Populations In The Limpopo And Luvuvhu River Floodplains Of The Makuleke Contractual Park, Kianie B. David

School of Natural Resources: Dissertations, Theses, and Student Research

This study investigates patterns of stand structure regeneration, growth characteristics, and coarse woody debris (CWD) patterns in Vachellia xanthophloea (fever tree) stands within the Makuleke Contractual Park (MCP), a semi-arid savanna system in northern Kruger National Park (KNP), South Africa. Fieldwork was conducted across two stand types: a monospecific fever tree stand in Rietbok Vlei and a mixed-species stand in the Western Nhlangaluwe Floodplain where fever tree is established with Faidherbia albida (ana tree). Data were collected from 20 total 1/4-acre (1,011 m²) circular plots between both stands in 2024 and 2025, including seedling root collar diameter (RCD), …

Bioenergy Crop Production: Implications For Grassland Bird Communities In Southwestern Nebraska, Grace E. Schuster

School of Natural Resources: Dissertations, Theses, and Student Research

Biofuel and bioenergy systems are components of most climate stabilization pathways to reduce greenhouse gas emissions and limit global warming. Currently, corn (Zea mays) is the predominant feedstock used for bioenergy production in the United States. However, widespread production of this monoculture crop has resulted in many negative environmental impacts. The most notorious impact has been the loss of grassland habitat due to agriculture expansion which has had detrimental effects on wildlife that depend on grassland habitat. One such group, grassland birds, has faced steeper, more consistent, and more widespread declines than any other avian guild. Therefore, strategies …

Urbanization And Earthquake Resilience In The Kathmandu Valley, Alex Nation

Nepal: Geoscience in the Himalaya

The Kathmandu Valley is the fastest growing city in South Asia and is developing in a haphazard manner, subsequently creating an unnecessary earthquake risk. Few papers have been published regarding the development of Kathmandu and its surroundings as a whole and relating it to earthquakes. This study conducted visits to some cities in the valley and analyzed the infrastructure, architecture and engineering, as well as city layout. It was discovered that zoning is completely absent in the region and planning attempts are unable to keep up with the rate of expansion. Further awareness, enforcement of codes, and zoning is needed …

Strategies For Thoughtful Dissemination Of Climate Change Knowledge: A Blueprint For Scientists In The Heart Of The Empire, Christopher Cronk

Nepal: Geoscience in the Himalaya

This interdisciplinary research investigates how climate change education, Indigenous knowledge systems, journalism, and anthropology intersect in shaping environmental awareness and action, focusing primarily on Nepal and drawing parallels with Indigenous Peoples of Turtle Island (North America). Stationed in Kathmandu, I conducted interviews with climate educators, journalists, anthropologists, and activists to explore how scientific and local knowledge are communicated and acted upon. Findings highlight the strong awareness of climate change in Nepal, the systemic barriers to effective mitigation and adaptation, and the potential of community-led initiatives like the Community Forest Program. Anthropological insights proved crucial in linking human experience to environmental …

A Preliminary Classification And Quantification Of The Microplastics Within Remote Glacial Runoff In The Upper Manang Region Of Nepal, Caden Lipsky

Nepal: Geoscience in the Himalaya

Microplastics, defined as particles of plastic waste less than 5mm (US EPA), are becoming steadily more common throughout remote ecosystems and are damaging to human and environmental health. The level of microplastics found in water sources within remote regions has become increasingly concerning following growing influxes of tourists and residents each year. These particulates found in freshwater have historically only been found downstream of populated areas; however, more recent cases have demonstrated their appearance at higher elevations and lower population water sources. This study aims to develop a preliminary understanding of the amount and type of contamination that has occurred …

Geological And Cultural Investigation Of Clay Used In Newari Pottery, Inés Fabián-Hicks

Nepal: Geoscience in the Himalaya

This research project investigated the geological and cultural aspects of clay used in traditional Newari pottery in Nepal. The study aims to compare the particle-size distribution of raw clay directly sourced from traditional deposits with that of processed clay prepared for pottery production. Methodologically, the project will employ a combination of mechanical sieving and hydrometer analysis to generate detailed grain-size distribution charts for both clay types. In addition to laboratory analysis, the project incorporates a cultural dimension through a field visit to Pottery Square, an interview with a Newari potter, and a field visit to the source of the clay …

Electrochemistry Behind Pfas: Mechanistic And Analytical Approach For Sensing And Degradation Strategies, Jonathan Josue Calvillo Solis

Open Access Theses & Dissertations

Understanding the fundamental electrochemistry of perfluoroalkyl substances (PFAS) is key to developing effective water remediation and sensing strategies. This work explores the thermodynamics and kinetics of perfluorooctanoic acid (PFOA) electroreduction, focusing on C-F bond cleavage. These insights were applied to design a highly sensitive electrochemical sensor for detecting trace levels of PFOA in water. This dissertation focuses on the electrochemical investigation of the reduction reaction of PFOA in aqueous and organic media employing different electrode materials. This exploration allows to understand the defluorination reaction of PFAS to further propose potential strategies for water treatment and PFOA electrosensing. Through electrochemical, spectroscopical …

Machine Learning For Parkinson’S Disease: A Comprehensive Review Of Datasets, Algorithms, And Challenges, Sahar Shokrpour, Amir Mehdi Moghadamfarid, Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Mostafa Sarvizadeh

Michigan Tech Publications

Parkinson’s disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. The absence of a conclusive treatment underscores the requirement to investigate cutting-edge diagnostic techniques to improve patient outcomes. Machine learning (ML) has the potential to revolutionize PD detection by applying large repositories of structured data to enhance diagnostic accuracy. 133 papers published between 2021 and April 2024 were reviewed using a systematic literature review (SLR) methodology, and subsequently classified into five categories: acoustic data, biomarkers, medical imaging, movement data, and multimodal datasets. This comprehensive …

Chat With The ’For You’ Algorithm: An Llm-Enhanced Chatbot For Controlling Video Recommendation Flow, Shuo Niu, Dikshith Vishnuvardhan, Venkata Sai Reddy Punnam

Computer Science

The rise of short-form video platforms like TikTok, driven by algorithmic recommendations, fosters immersive flow experiences. While users value personalization and engagement, they also seek greater agency over their For You recommendations. This paper designs, prototypes, and evaluates TKGPT, an LLM-enhanced conversational interface that helps users articulate their interests and understand recommendations. Through qualitative interviews and a user study, we examine how the TKGPT influences algorithmic folk theories and the sense of agency. Findings show that users primarily use TKGPT to seek relevant videos, explain preferences, and exert control over the algorithm. The resulting For You videos better reflect user …

Aircraft Bird Strike Risk Prediction Using Machine Learning And Analytic Hierarchy Process, Jason Anthony Powell

Doctoral Dissertations and Master's Theses

To address the limitations of Next Generation Radar-based bird strike forecasting, this study modeled 12 spatiotemporal weather features from the National Oceanic and Atmospheric Administration alongside bird strike risk using Long Short-Term Memory Recurrent Neural Network (LSTM-RNN), XGBoost regression tree, and Bayesian network algorithms. Five years of bird strike data from four geographically diverse airfields served as the target risk variable, categorized as low, moderate, or severe based on Department of the Air Force risk models. The ensemble model, which combines the LSTM-RNN and XGBoost regression algorithms, yielded the most accurate forecasts, achieving 80% to 93% accuracy across all airfields, …

The Surface Water And Ocean Topography (Swot) Mission For River And Lake Ice Application, Sunwoo Yoon

Earth Sciences Theses and Dissertations

The Surface Water and Ocean Topography (SWOT) mission, launched in December 2022, is designed for global survey of Earth’s surface water. However, the seasonal freezing of lakes and rivers combined with SWOT’s unique interferometric radar characteristics presents a valuable opportunity to assess its potential for river and lake ice applications. In this dissertation, I first compare backscatter characteristics over open water and frozen lakes and rivers. I demonstrate strong contrast in backscatter between water and ice while accounting for incidence angle, highlighting SWOT’s capability to discriminate between surface cover types. However, overlapping backscatter signatures suggest further investigation of drivers of …

Crosssections, Summer 2025, University Of Northern Iowa. Department Of Physics.

CrossSections

Contents:

A Message from the Department Head, Dr. Paul Shand --- 1
Department Happenings --- 3
Faculty Profile - Takeshi Yasuda --- 7
Student Profile - Brandon Schmidt --- 8
Student Research --- 9
Student Focus --- 10
Physics Education --- 13
Alumni Profile - Roger Burkhart --- 14
Alumni News - Sterling Hartman --- 16
New Physics --- 17

Bridging Knowledge Gaps In Digital Forensics Using Unsupervised Explainable Ai, Zainab Khalid, Farkhund Iqbal, Mohd Saqib

All Works

Artificial Intelligence (AI) has found multi-faceted applications in critical sectors including Digital Forensics (DF) which also require eXplainability (XAI) as a non-negotiable for its applicability, such as admissibility of expert evidence in the court of law. The state-of-the-art XAI workflows focus more on utilizing XAI tools for supervised learning. This is in contrast to the fact that unsupervised learning may be practically more relevant in DF and other sectors that largely produce complex and unlabeled data continuously, in considerable volumes. This research study explores the challenges and utility of unsupervised learning-based XAI for DF's complex datasets. A memory forensics-based case …

Direct Coupling Of Continuum And Shell Elements In Large Deformation Problems, Astrid Pechstein, Michael Neunteufel

Mathematics and Statistics Faculty Publications and Presentations

In many applications, thin shell-like structures are integrated within or attached to volumetric bodies. This includes reinforcements placed in soft matrix material in lightweight structure design, or hollow structures that are partially or completely filled. Finite element simulations of such setups are highly challenging. A brute force discretization of structural as well as volumetric parts using well-shaped three-dimensional elements may be accurate, but leads to problems of enormous computational complexity even for simple models. One desired alternative is the use of shell elements for thin-walled parts, as such a discretization greatly alleviates size restrictions on the underlying finite element mesh. …

Examining Equitable Participation With K-12 Teacher Leaders, Eva Thanheiser, Kathryn Elizabeth Roman, Ruth Heaton

Mathematics and Statistics Faculty Publications and Presentations

Many organizations and researchers in mathematics education call for antibias practices, but addressing hidden biases remains challenging. Equity QUantified In Participation (EQUIP), a quantitative tool designed to analyze classroom participation patterns by social markers, helps teachers identify these subtle inequities. This paper describes a professional development (PD) intervention introducing EQUIP to five teacher leaders (TLs) and three coaches in a predominantly Latine district, focusing on setting up EQUIP to identify and address participation inequities in their classrooms. The TLs implemented EQUIP in their classroom and gathered participation data twice. Findings revealed that TLs took up EQUIP in different ways and …