Physical Sciences and Mathematics Commons^™

Creating Place-Based Introductory Geoscience Field Trip Curricula For Indigenous Students, Kitri Spencer

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project seeks to produce and evaluate a place-based geoscience field trip curriculum along the San Juan River designed for Indigenous students. The Geoscience on the San Juan River field trip uses a “place-based” approach to weave scientific concepts with the cultural knowledge and lived experiences of the students. Learning activities were designed to accommodate a wide range of learning preferences and accessibility needs with the hope of increasing Indigenous enrollment in the geosciences. The lesson plan was tested on June 4^th, 2022 during a guided rafting excursion on the San Juan River for students participating in the …

Methanogenesis Kinetics Of Organic Matter Of The Leachate In An Up-Flow Anaerobic Sludge Blanket Reactor, Mohamad Ali Fulazzaky, Ali Yuzir, Tiffany L. Messer, Agus Sofyan

UK CARES Faculty Publications

Understanding the treatment of leachate mediated by the development of anaerobic sludge makes it possible to create an effective design process of biodegradation technology. This study used an up-flow anaerobic sludge blanket (UASB) reactor equipped with a gas–liquid-solid separator to capture CH4 for treating landfill leachate to improve understanding of methanogenesis kinetics of organic matter. The performance of UASB was able to remove 154.75 g/L of chemical oxygen demand (COD) content of the leachate originally anticipated to emit 2.99 L of CH4 production into the atmosphere. The trend in the variation of internal mass transfer (IMT) factor was close to …

Nuclear Energy Is Clean And Safe Energy, Katie Morland

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

From the grappling fear of horrific meltdowns to the promise of new innovative advancements, nuclear energy has been surrounded by misunderstandings and myths for decades. A non-partisan approach from media outlets is essential for having a well-balanced understanding of how nuclear energy works and why it is good for our consumption.

Despite bias concerns that are leading to misunderstanding, nuclear energy offers a wide range of reliable cleaner types of energy. Moving forward we need to ask ourselves are we going to keep letting misinformation and misconceptions stop us from developing better advancements in nuclear energy for cleaner energy use …

The Case For E15: A Cheaper, Cleaner Fuel, Cassidy Skillett

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

In its name, “E” indicates that the fuel contains ethanol and “15” communicates that 15% of the gasoline blend is ethanol. When Nebraskan drivers pull up to the gas station, they can buy cheaper and cleaner E15. In 43 states - drivers are not so lucky. A new bill would end fuel discrimination of E15 at refueling stations nationwide.

This change is long overdue and would allow E15 to be available year-round in all states rather than just during the winter.

Zoning Regulations Are Harming Nebraska’S Wind Energy Future, Carter Probst

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Nebraska is a prime location for renewable energy sources, such as wind. According to Climate Central, a policy-neutral non-profit, “While Nebraska ranks fourth among U.S States for potential wind energy generation, it ranks 15th in installed capacity.” What is the number one reason Nebraska has not fully tapped into its potential, which would have numerous economic and climate benefits? Harsh zoning regulations at the county level, fueled by misinformation, have made installation of wind turbines nearly impossible across multiple counties in Nebraska.

Greet Vs. Corsia: The Future Of Sustainable Aviation Fuel, Christian Curtis

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

With the country buzzing from the shocking result of the presidential election, not much ink is being spilled about the upcoming conclusion of a months-long showdown between agriculture-state lawmakers and environmentalists. The bone of contention? What modeling system will be used to calculate sustainable aviation fuel (SAF) emissions. President Biden’s IRA provides for a $1.25/gallon tax credit for any fuel qualifying as SAF; would it surprise you that environmentalists and big industry don’t see eye to eye on what counts as “sustainable”?

Environmental Justice Indicators: Evaluating Their Effectiveness In Identifying At-Risk Communities For Drinking Water Violations, Rae Cade, Danlin Yu, Kyle Whyte, Pankaj Lal, Cortni Borgerson

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Despite improvements to environmental protection initiatives, millions of Black, Indigenous, and other people of color (BIPOC) continue to live in communities that are disproportionately affected by environmental contamination. Environmental Justice (EJ) screening tools, such as CalEnviroScreen, EJ Map, and PennEnviroScreen, have been developed to help state and federal governments gauge the extent of EJ in their jurisdictions. These screening tools have propelled the EJ advocacy initiative, illustrating the historic and ongoing disproportionate effects of contamination in many BIPOC communities. Yet, screening tools and their indicators vary, and we must understand how these tools and indicator choices differently identify at-risk communities, …

Net Evaporation-Induced Mangrove Area Loss Across Low-Lying Caribbean Islands, Isamar M. Cortés, Jorge Lorenzo-Trueba, Andre S. Rovai, Robert R. Twilley, Mark Chopping, Temilola Fatoyinbo

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Although mangroves provide many beneficial ecosystem services, such as blue carbon storage and coastal protection, they are currently under threat due to changes in climate conditions, such as prolonged drought exposure. Under drought conditions, evaporation exceeds precipitation and high soil salinities can lead to stunted growth and die-back. To quantify this interplay, we developed a database for low-lying and uninhabited mangrove islands in the Caribbean under various evaporation and precipitation regimes. We extracted physical and biological information from each island using remote sensing techniques and coupled it with a process-based model. We used this database to develop a model that …

The Climatic Pattern Of East Asia Shifted In Response To Cratonic Thinning In The Early Cretaceous, Wenbo Wang, Xu Chu, Jian Zhang, Ying Cui, Xuegen Chen, Yue Wang, Shangguo Su

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

In response to westward subduction of the Paleo-Pacific, the North China Craton experienced the uplift of an eastern coastal plateau followed by subsidence in the Early Cretaceous, which potentially drove a shift in climatic patterns. Here we use the oxygen isotope ratios of garnets from magmatic-hydrothermal ore systems to infer the origins and signatures of mineralization fluids during this tectonic transition. The garnet oxygen isotope values range from approximately –11.4 to +13.5‰, with extremely depleted oxygen isotope ratios exclusively found in the northern margin, indicating extensive involvement of meteoric and lacustrine fluid in the back-arc hinterland. This geological record aligns …

Intellectual Property Liability For Businesses In The Age Of Ai: What New Liabilities Businesses Using Ai Could Face And The Possible Methods Of Self-Protection, Elizabeth Anne Henderson

Michigan Business & Entrepreneurial Law Review

The invention of Artificial Intelligence (“AI”) has triggered a wave of copyright and trademark litigation that will likely shape the intellectual property laws governing AI for the foreseeable future. Lawsuits against AI giants like Meta and OpenAI stand to declare popular uses of AI as actionable infringement as well as possibly reshape how copyright and trademark law view concepts, such as fair use and derivative works in the age of technology. Meanwhile, businesses are pushing forward rapidly with adopting AI and implementing its use in everyday functions. For many of these businesses, AI is a highly desirable but poorly understood …

Reducing Token Redundancy In Video-Language Models Via Memory Consolidation Algorithm, Matt Couts

Electrical Engineering and Computer Science Undergraduate Honors Theses

Video Question Answering (VideoQA) focuses on developing mod- els capable of engaging in natural language conversations about video con- tent. Current state-of-the-art typically analyze videos frame-by-frame, a process that is both computationally and memory-intensive. Integrating the Atkinson-Shiffrin memory model with Video Language Models has demon- strated potential for enhancing video understanding capabilities. Reducing the number of frames processed by the model is a crucial operation in this approach, which is achieved by a memory consolidation algorithm. This al- gorithm condenses a video sequence into a small set of representative frames which capture the essence of the video content. However, due …

Resting-State Brain Activity And Its Relationship To Mental Health In Epilepsy Using Fmri, Florian Gobellan Rodriguez

McNair Scholars Research Journal

No abstract provided.

Evaluating The Efficiency Of Lossless Compression Algorithms Across Multiple Formats In Archival Compression, Matthew Gonzales

McNair Scholars Research Journal

Data storage or retention is an essential part of all business operations. Modern companies opt to store user data seven years or more after it is deleted and even longer when it’s still being hosted. Therefore, when storing files for long periods of time compression becomes an essential step in reducing cost and total file storage. Compression is the strategic removement of portions of data while ensuring that enough data is left behind to reconstruct the file during decompression. This experiment seeks to identify potential benefits of compression in groups of files of differing formats in comparison to individual file …

Postpartum Depression In North American Ghanaian Women, Natalie Bawuah

McNair Scholars Research Journal

No abstract provided.

Prioritizing The Parent Perspective: A Mixed Methods Approach To Deconstructing Learning Deficiencies Within Marginalized And Underserved Communities, Zea Wallace

McNair Scholars Research Journal

No abstract provided.

An Alternate Way Of Factoring Mathematical Objects And The Mystery Behind Free Resolutions, Tyler Trujillo

McNair Scholars Research Journal

No abstract provided.

Notes From The Director, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Letter From The Vice President For Research And Innovation, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Interpreting Strain Caused By Transient Well Testing, Soheil Roudini

All Dissertations

Understanding reservoir properties and structure is essential to managing subsurface operations, such as geologic storage of CO₂ or production of water, hydrocarbons or heat. Previous work demonstrated the potential of analyzing strain data during transient well tests by estimating hydraulic diffusivity using a type-curve-like approach. The following dissertation aims to pursue this potential by developing and evaluating methods for interpreting strain tensor data to improve subsurface characterization. The research advances the classic, intuitive method of using type-curves to interpret well tests, but it also brings together modern computational methods from machine learning, proxy modeling and Bayesian inversion, and it …

Optimization Of Markov Chain Modeling In Predicting College Student Retention, Kien Nguyen

Journal of Global Education and Research

College student retention is one of the most important metrics in higher education. With institutions across the US facing decreasing enrollment, developing a reliable retention prediction method is crucial. In recent years, the use of the Markov chain model in forecasting student enrollment and progression has become more common, but there is little work on its application in student retention. One key factor in determining this model's effectiveness is what parameters should be used in the student population’s segmentation or grouping. This study presents a rigorous algorithm, coupled with a prediction model, capable of selecting parameters that provide the most …

The Algorithm Of Fear: Unpacking Prejudice Against Ai And The Mistrust Of Technology, James Hutson, Daniel Plate

Faculty Scholarship

The mistrust of AI seen in the media, industry and education reflects deep-seated cultural anxieties, often comparable to societal prejudices like racism and sexism. Throughout history, literature and media have portrayed machines as antagonists, amplifying fears of technological obsolescence and identity loss. Despite the recent remarkable advancements in AI—particularly in creative and decision-making capacities—human resistance to its adoption persists, rooted in a combination of technophobia, algorithm aversion, and cultural narratives of dystopia. This review investigates the origins of this prejudice, focusing on the parallels between current attitudes toward AI and historical resistance to new technologies. Drawing on examples from popular …

From Concept To Creation: The Role Of Generative Artificial Intelligence In The New Age Of Digital Marketing, Andrew Smith, James Hutson

Faculty Scholarship

Artificial intelligence (AI) has been extensively used in digital marketing. Still, the recent advances in generative AI (GAI) have revolutionized social media marketing and content creation, lowering barriers that once restricted high-quality design to professionals well versed in expensive and complex software like Adobe Suite. GAI tools enable anyone, from students to marketers, to generate logos, branding, and multimedia content without extensive training. This shift has empowered more people to engage in creative expression, expanding the pool of ideas and creativity. However, the abundance of AI-generated content raises questions about the evolving definition of “art” and the emergence of a …

Algotric: Symmetric And Asymmetric Encryption Algorithms For Cryptography – A Comparative Analysis In Ai Era, Naresh Kshetri, Mir Mehedi Rahman, Md Masud Rana, Omar Faruq Osama, James Hutson

Faculty Scholarship

The increasing integration of artificial intelligence (AI) within cybersecurity has necessitated stronger encryption methods to ensure data security. This paper presents a comparative analysis of symmetric (SE) and asymmetric encryption (AE) algorithms, focusing on their role in securing sensitive information in AI-driven environments. Through an in-depth study of various encryption algorithms such as AES, RSA, and others, this research evaluates the efficiency, complexity, and security of these algorithms within modern cybersecurity frameworks. Utilizing both qualitative and quantitative analysis, this research explores the historical evolution of encryption algorithms and their growing relevance in AI applications. The comparison of SE and AE …

Iowa Waste Reduction Center Newsletter, December 2024, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Meet Drew Miller
--- Farewell Kendall
--- IWRC Advisory Member Updates
--- Changes Coming to Online Painter Training
--- January Reporting Deadlines
--- IAEP: 30 Years of Supporting Iowa Small Businesses

Geology, Alteration And Mineralization At The Cerro Del Medio Porphyry Au-Cu Deposit, Santa Cecilia Project, Maricunga Belt, Northern Chile, Jose David Franco Moraga

Open Access Theses & Dissertations

The Cerro del Medio system, situated within the Santa Cecilia-Caspiche district in the southern segment of the Maricunga Belt, exhibits a complex sequence of magmatic and hydrothermal processes that align with regional geological activity during the late Oligocene to early Miocene (25.2â??24.7 Ma). This study highlights the temporal and spatial (i.e., genetic) relationship between subvolcanic diorite porphyry intrusions, hydrothermal alteration, and copper-gold mineralization, providing a framework for future exploration.The hydrothermal system at Cerro del Medio is defined by four main alteration zones: biotite-magnetite (potassic), chlorite-white mica (chlorite-sericite), white mica (sericitic), and aluminosilicate (advanced argillic lithocap). These zones display a halo …

An Integrated Study Of Aerosol Concentrations And Meteorological Conditions In El Paso Airshed Using Modeling And Instrumentation, Joscelyne Guzman-Gonzalez

Open Access Theses & Dissertations

Atmospheric aerosols are solid or liquid particles suspended in the atmosphere. Aerosols can be primary, which are directly emitted into the atmosphere, or secondary, which are formed when emitted gases undergo complex chemical reactions. Atmospheric aerosols can range from a few nanometers to tens of microns in diameter. Atmospheric aerosols play a significant role in climate; they can absorb or reflect heat, influencing temperature and weather patterns. Air quality is also affected by aerosols, which can have detrimental effects on human health, contributing to respiratory issues and other health problems. El Paso Texas is located at the south of the …

The New Anthropocentrism: The Problem Of Water Conservation And Water Justice, Benjamin Stuart Milam

Open Access Theses & Dissertations

My objective with my thesis is to argue for and reinforce a type of anthropocentrism that is both environmentally conscious and consumable for an audience that is not necessarily well versed in philosophical literature. In the first chapter I go over philosophical frameworks, such as Anthropocentrism and Biocentrism, and why I believe they do not meet both of those criteria listed. After that I discuss New Anthropocentrism, coined by Clive Hamilton, and why I believe that a slightly modified version possesses qualities that I believe are needed for the crisis at hand. In chapter 2 I use that framework and …

Exploring Secure Methods For Ensuring Data Integrity: A Theoretical Analysis Of Cryptographic And Detection Techniques, Haryam Garcia Martinez

Electronic Theses, Projects, and Dissertations

This study investigates cryptographic methods to ensure data integrity within cloud environments, with a particular focus on comparing the security, performance, and efficiency of MD5 and SHA-256 hash algorithms. Data integrity is critical for protecting sensitive information, especially in sectors like healthcare, where cloud storage solutions are increasingly prevalent. Through a theoretical analysis, the study evaluates the advantages and limitations of MD5 and SHA-256, emphasizing SHA-256’s stronger security capabilities in preventing collision attacks compared to MD5, albeit with higher resource consumption.

The literature review draws from recent advancements in cryptography, blockchain, and artificial intelligence (AI) technologies, presenting a comprehensive view …

The Disordered Negatively Charged C-Terminus Of The Large Hect E3 Ubiquitin Ligase Herc2 Provides Structural And Thermal Stability To The Hect C-Lobe, Kelly L. Waters, Kayla J. Rich, Noah D. Schwaegerle, Tianyi Yang, Shuanghong Huo, Donald E. Spratt

Chemistry

Homologous to the C-terminus of E6AP (HECT) and RCC1-like domain (RLD)-containing protein 2 (HERC2) is a large, 528 kDa E3 ubiquitin ligase that is associated with cancer, oculocutaneous albanism type 2, Prader-Willi syndrome, and other neurological diseases. HERC2 has been found to contribute to double-stranded DNA break repairs, tumor suppression, maintaining centrosome architecture, and ubiquitylation. The C-terminal portion of the HECT domain (C-lobe) of HERC2 is responsible for transferring ubiquitin to a substrate but the precise function of the other eight domains in HERC2 are unknown. Interestingly, HERC2 contains a unique and negatively charged C-terminal …

Quantum Visual Feature Encoding Revisited, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu

Computer Science and Computer Engineering Faculty Publications and Presentations

Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information preservation of the visual features after the encoding process, thus complicating the learning process of the quantum machine learning models. In particular, the problem, termed the “Quantum Information Gap” (QIG), leads to an information gap between classical and corresponding quantum features. We provide theoretical proof and practical examples with visualization …