Physical Sciences and Mathematics Commons^™

Identification Of Novel Genes Regulating Caenorhabditis Elegans Morphologically Complex Cellelimination, Brenda Amata

McNair Scholars Research Journal

No abstract provided.

A Survey Of 12 Exoplanet-Star Systems And Their Exomoon Candidates, Connor Jackson

McNair Scholars Research Journal

No abstract provided.

Investing The Therapeutic Possibilities Of Glassblowing, Isabella Posca

McNair Scholars Research Journal

No abstract provided.

Q-Learning In Starclash, Hanani Pankaj

2024 Fall Honors Capstone Projects - Archive

Developers create video games using Artificial Intelligence (AI) agents to provide a challenging opponent in a single-player game. However, studies show that when Reinforcement Learning (RL) agents are used, they outperform the AI agents. This project sought to test how RL agents would perform in StarClash, a video game without RL agents, using Q-Learning. This was done by creating two Q-Learning agents: a Simple agent and an Advanced (more complex) agent. These two agents were tested against each other and a Random AI agent. As expected, the Advanced agent did better than the Simple agent but only performed slightly better, …

Pixel: Ai Chatbot For Clear And Effective Senior Design Assistance, Asmin Pothula

2024 Fall Honors Capstone Projects - Archive

This research explores the development of an AI-driven chatbot named Pixel, specifically designed to assist Computer Science and Engineering Senior Design students by providing immediate, clear, and accurate responses to project-related queries. While my Senior Design project focuses on developing a "Senior Design Project Management Tool," my honors capstone project centers on developing Pixel and integrating it into both the project management tool and the CSE Senior Design Knowledge Base. Pixel leverages this knowledge base to offer guidance on tasks such as using lab equipment, performing technical procedures, and troubleshooting common issues, ensuring that students have swift access to relevant …

Characterizing 2d Materials Using Positron Impact Induced Electron Spectroscopy And Development Of A Novel Thin Film Zno Based Piezo-Photonic Detector For Cryogenic And Mems Applications, Pratyanik Sau

2024 Fall Honors Capstone Projects - Archive

Surface analytical techniques are essential for engineering nano-detectors allowing characterization of their chemical composition, electromechanical properties, and physical structure. In the first chapter, the positron impact-induced secondary electron (PIISE) energy spectra and yield from single-layer graphene (SLG) and multi-layer graphene (MLG) grown on a polycrystalline Cu substrate have been presented. In the second chapter, an extensive catalog of Positron Induced Auger Spectra is presented to aid in the analysis of elemental composition of various materials. Additionally, in the third chapter, a novel detection scheme utilizing the piezo-pyroelectric properties of Zinc Oxide (ZnO) thin films have been demonstrated for its application …

A Machine Learning Approach To Multifactorial Modeling Of Episodic Memory Performance, Evan Fletcher, Marianne Chanti-Ketterl, Emily Hokett, Yi Lor, Umesh Venkatesan, Paola Gilsanz, Rachel Whitmer, Ruijia Chen, Kristen George, Zvinka Zlatar

Moss-Magee Rehabilitation Papers

BACKGROUND: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance. METHOD: Our dataset consisted of 2247 participants from the KHANDLE and STAR cohorts. Participants included 841 men and 1406 women, an ethnoracial diversity of 413 Asian, 987 Black, 349 Latinx, and 496 White adults with age range 54-90 (mean = 74). XG Boost models of continuous …

The Evolving Role Of Copyright Law In The Age Of Ai-Generated Works, James Hutson

Faculty Scholarship

Objective: to identify the prospects and directions of copyright law development associated with the increasing use of generative artificial intelligence.

Methods: the study is based on the formal-legal, comparative, historical methods, doctrinal analysis, legal forecasting and modeling.

Results:the article states that the emergence of generative artificial intelligence makes one rethink the processes occurring in the field of creative activity and the traditional copyright system, which becomes inadequate to modern realities. The author substantiates the necessity of legal reassessment of copyright and emphasizes the urgent need for updated means of copyright protection. Unlike previous digital tools, which expanded …

Quantitative Evaluation Of Baseflow Separation Methods Using An Integrated Hydrologic Model: A Case Study In A Snow-Dominated Watershed, Jihad Othman

All Graduate Reports and Creative Projects, Fall 2023 to Present

Baseflow, commonly referred to as the groundwater contribution to streamflow, constitutes approximately 50% of streamflow in mountainous regions of the Western United States. Accurately quantifying the amount of baseflow is critical for water management and decision-making, as it significantly impacts stream water quality, low flow availability, and ecosystem health. Traditionally, baseflow has been estimated using conceptual and automated baseflow separation methods, which are known to be both arbitrary and ambiguous, posing a challenge to validate them. In this study, we developed an integrated hydrologic model that seamlessly integrated the exchange between surface and subsurface flows to physically quantify the baseflow …

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 …