Physical Sciences and Mathematics Commons^™

Towards Sustainable Development: Civic Architecture As Material Banks, Kathleen O'Gara

Masters in Architecture Program: Theses

This thesis posed the question, “How can buildings be designed to be disassembled and reused to reduce construction and demolition waste and reduce our unsustainable reliance on raw materials?” Designing for disassembly and reuse has the potential to dramatically increase the life of building materials, thus decreasing construction and demolition waste relating to architecture. When designing with deconstruction and reuse in mind, designers must consider the next life of these materials. The thesis was further narrowed to push the adaptability of these materials by designing a structural kit of parts. The structure system is often seen as a stable and …

Chm116 Principles Of Chemistry Ii Lecture Slides, Leah S. Cohen, Probal Banerjee

Open Educational Resources

This file contains the lecture slides that are used in CHM116, Principles of Chemistry II.

Database And Machine Learning Model For Classifying Autism Spectrum Disorder From Smartphone Based Electroretinography, Rory Harris

Honors Scholar Theses

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that negatively affects a patient’s cognitive and communication aptitude and, therefore, can severely impact that patient’s quality of life. Because of this, early diagnosis is paramount. In recent studies, electroretinography (ERG), which is a measure of the retina’s electrical response to a brief flash of light into the eye, has shown promise in detecting ASD. Access to these scans can provide early diagnosis, improving well-being. Current ERG devices are very expensive due to their on board processing capabilities. This paper aims to create an ERG device using a smartphone as the main …

An Educational Resource For Particle Identification (Pid) In Experimental Particle Physics Data, Richard Dube

Honors Scholar Theses

Although particle physics research is typically reserved for advanced undergraduates, algebra-based physics students can readily develop the foundational skills necessary to conduct particle physics research. Despite this, there is a shortage of educational resources that introduce particle physics to algebra-based physics students. This project, Particle Identification Playground, is a collection of Python-based activities that teach students about several fundamental topics in experimental particle physics research. Through these activities, students will learn about the common detectors used in particle physics, how they work, and how we can use these detectors to identify particles. Students are able to interact with 3D models …

Liquefying The Gulf Coast: A Cumulative Impact Assessment Of Lng Buildout In Louisiana And Texas, Robin K. Saha, Robert D. Bullard, Liza T. Powers

Environmental Studies Faculty Publications

This report represents a substantial endeavor aimed at providing a critical examination of the complex interplay between fossil fuel development, environmental justice, and climate justice in a region of the United States that has an enduring legacy of economic injustice and environmental racism. In recent years, the rapid expansion of liquefied natural gas (LNG) infrastructure along the Gulf Coast has raised significant concerns regarding the environmental and social consequences.

Life On The Edge: The Cambrian Marine Realm And Oxygenation, Sara Pruss, Benjamin C. Gill

Geosciences: Faculty Publications

The beginning of the Phanerozoic saw two biological events that set the stage for all life that was to come: (a) the Cambrian Explosion (the appearance of most marine invertebrate phyla) and (b) the Great Ordovician Biodiversification Event (GOBE), the subsequent substantial accumulation of marine biodiversity. Here, we examine the current state of understanding of marine environments and ecosystems from the late Ediacaran through the Early Ordovician, which spans this biologically important interval. Through a compilation and review of the existing geochemical, mineralogical, sedimentological, and fossil records, we argue that this interval was one of sustained low and variable marine …

Dimensional Regularization And Two-Loop Vacuum Polarization Operator: Master Integrals, Analytic Results, And Energy Shifts, Stefano Laporta, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

We Present a Complete Reevaluation of the Irreducible Two-Loop Vacuum-Polarization Correction to the Photon Propagator in Quantum Electrodynamics, i.e. with an Electron-Positron Pair in the Fermion Propagators. the Integration is Carried Out by Reducing the Integrations to a Limited Set of Master Integrals, Which Are Calculated using Integration-By-Parts Identities. Dimensional Regularization is Used in D=4-2ϵ Dimensions, and On-Mass Shell Renormalization is Employed. the One-Loop Effect is Given to Order ϵ, to Be Combined with the 1/ϵ Divergence of the Two-Loop Amplitude. Master Integrals Are Given. Final Evaluations of Two-Loop Energy Shifts for 1S, 2S, and 2P States Are Done Analytically, …

The Forget Time For Random Walks On Trees Of A Fixed Diameter, Lola R. Vescovo

Mathematics, Statistics, and Computer Science Honors Projects

A mixing measure is the expected length of a random walk on a graph given a set of starting and stopping conditions. We study a mixing measure called the forget time. Given a graph G, the pessimal access time for a target distribution is the expected length of an optimal stopping rule to that target distribution, starting from the worst initial vertex. The forget time of G is the smallest pessimal access time among all possible target distributions. We prove that the balanced double broom maximizes the forget time on the set of trees on n vertices with diameter …

Simulacra And Historical Fidelity In Digital Recreation Of Lost Cultural Heritage: Reconstituting Period Materialities For The Period Eye, Trent Olsen, James Hutson, Charles O'Brien, Jeremiah Ratican

Faculty Scholarship

The advancement of digital technologies in art history has opened avenues for reconstructing lost or damaged cultural heritage, a need highlighted by the deteriorated state of many artworks from the 1785 Salon. Grounded in the concept of the “Period Eye” by art historian Michael Baxandall, which emphasizes understanding artworks within their original historical and cultural contexts, this study proposes a subfield focused on Reconstituting Period Materialities for the Period Eye. This methodology bridges comprehensive historical research with generative visual artificial intelligence (AI) technologies, facilitating the creation and immersive virtual reality viewing of artworks. Beyond mere visual replication, the approach aims …

The Search For Photonuclear Interactions Of Muons Utilizing Test Beam Data At The Large Hadron Collider, Miranda M. Williams

2024 Spring Honors Capstone Projects

The ATLAS Detector is one of four different types of detectors within the Large Hadron Collider and is used to study the fundamental theories of the universe. Within the ATLAS experiment, beams of known composition and energies – otherwise known as “test beams” – are one of the many methods used to study specific physical phenomena. In this study, a test beam of muons with an energy of 160 GeV was analyzed to search for evidence of photonuclear interactions. This necessitated analyzing and filtering over 50,000 total events using specific parameters that would indicate such an event had occurred. To …

Ai And Advocacy: Maximizing Potential, Minimizing Risk, Matthew Salzano, Nicholas Fung, Ada Lin, Sofia Marchetta, Faith Colombo, Kaylah Davis, John Flynn, Carlos Fuentes, Fion Li, Malar Paavi Muthukumaran, Angelica Paramoshin, Chrisanne Pearce, Vianney Ramos, Charles St. Hilaire, Xi Zheng, Wei Zhuang

School of Communication and Journalism Faculty Publications

New Generative AI tools are revolutionizing writing and communication. This report focuses on AI and advocacy, the act of influencing public policy and resource allocation decisions within political, economic, and social systems and institutions. This report identifies three major opportunities and accompanying risks, plus one strong recommendation for advocates considering using AI. We argue that AI can be useful for advocates, but they must be careful to center human judgment and avoid risks that could distract from their important work or even contribute to societal harms.

Understanding The Public Reaction To Major United States Environmental Policies Through Twitter, Ryan Giammarco

Honors Projects in Data Science

An increased focus on access to general data as well as a continued lack of usable environmental data have resulted in an odd phenomenon where the public does not have the opportunity to understand their environment on a deep level. The goal of this research is to understand, as a result, how people both talk and feel about certain environmental changes, particularly those in the realm of politics. Through word clouds and sentiment analysis performed with historical Twitter data collected between 2010 and 2022, we can identify the general trends in both conversation and feeling as they relate to a …

Public Horticulture: Process And Design Of The Lincoln Botanical Garden, Brad Kindler

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

Beginning in 2012, the local non-profit, The Lincoln Botanical Garden, began organizing the conceptual design and creation of a glass conservatory within a botanical garden in Lincoln, Nebraska. These proposed urban enhancements seek to fill a gap in garden amenities in the city by providing year-round access to public horticulture programming and education.

This project, Public Horticulture: Process and Design of the Lincoln Botanical Garden, documents these efforts and makes design recommendations for a themed Glacial Erratic Garden that could be constructed within the botanical garden.

Advisors: Ellen Paparozzi and Sam Wortman

Using Machine Learning To Identify Hate Speech And Offensive Language On Twitter., Mayara Lorens, Thayene Lorens

BSc (Hons) in Computing in IT

The central theme of this project is the application of Machine Learning to identify both hate speech and offensive language on Twitter. We chose this topic for its ethical relevance in the technological environment and its business potential. This topic raises concerns such as cyberbullying and the existence of a hostile environment for users. For this reason, we sought to implement four different models to create an automated system capable of identifying and categorizing whether specific content is offensive, non-offensive or neutral.

Measurement Of Transmission Efficiency Of Blue Light Blocking Devices, Jada Lee

Honors Theses

Technology and light sources have experienced a revolution in recent years leading to the production of light emitting diode (LED) bulbs. White-light LED bulbs undergo degradation over time, leading to a rise in color temperature and a proportional increase in the emission of blue light from these bulbs. The small size of LEDs makes them the optimal choice for electronic devices because of their limited screen size. This means that blue light now exists in red, green, and blue solid-state illumination systems that did not exist a decade ago. It is debated if blue light induces toxic effects on the …

Scalar Susceptibility Of A Diluted Classical Xy Model, Reece Beattie-Hauser, Thomas Vojta

Physics Faculty Research & Creative Works

We Analyze the Amplitude Fluctuations in a Diluted 3D Classical XY Model Near the Magnetic Phase Transition, motivated by the Unusual Localization Properties of the Amplitude (Higgs) Mode Recently Found at the Disordered Superfluid-Mott Glass Quantum Phase Transition. We Calculate the Amplitude Correlation Function and the Corresponding Scalar Susceptibility by Means of Monte Carlo Simulations. in Contrast to the Quantum Case, in Which the Scalar Susceptibility Was Found to Violate Naive Scaling, We Find that the Scalar Susceptibility of the Classical System Fulfills Naive Scaling (Employing the Clean Critical Exponents, as Expected from the Harris Criterion) as the Temperature is …

Implications Of The 2023 Flood On The Lower Diamond Fork River, Ut, Christian J. Stewart

Watershed Sciences Student Research

The lower Diamond Fork River is located on publicly accessible land owned by the Utah Reclamation Mitigation and Conservation Commission and the United States Forest Service. It is located a 30 minute drive away from the Provo-Orem Metropolitan Area and the stream runs parallel to the Diamond Fork Road, giving anglers convenient access to several miles of publicly fishable stream. The focus of this study is the lower Diamond Fork River between US Highway 6 and the Diamond Fork Campground, UT (Figure 1).

Analyzing Atmospheric Gravity Waves Over Antarctica And Visualizing Machine Learning Data, Anastasia N. Brown

Physics Capstone Projects

In an effort to streamline the identification of "clean" windows of airglow images in all sky imager data for the ANGWIN experiment, we have developed a Light Gradient Boosted Machine (LightGBM) learning algorithm that sorts "clean" (marked as 0) wave images from "obscured" (marked as 1) images. These "clean" windows are then processed and undergo FFT-spectrum analysis. We have already successfully created LightGBM models that accurately sort through images taken at the Davis, McMurdo, and Halley research stations in Antarctica. Imager data from the Davis and McMurdo station has been fully processed from the years 2012 to 2022 with clean …

Advancing Sentiment Analysis Through Emotionally-Agnostic Text Mining In Large Language Models (Llms), Jay Ratican, James Hutson

Faculty Scholarship

The conventional methodology for sentiment analysis within large language models (LLMs) has predominantly drawn upon human emotional frameworks, incorporating physiological cues that are inherently absent in text-only communication. This research proposes a paradigm shift towards an emotionallyagnostic approach to sentiment analysis in LLMs, which concentrates on purely textual expressions of sentiment, circumventing the confounding effects of human physiological responses. The aim is to refine sentiment analysis algorithms to discern and generate emotionally congruent responses strictly from text-based cues. This study presents a comprehensive framework for an emotionally-agnostic sentiment analysis model that systematically excludes physiological indicators whilst maintaining the analytical depth …

Pre-Plinian Perplexity: Identifying And Constraining An Anomalous Pdc During The Initial Stages Of The May 18, 1980 Mt. St. Helens Eruption, Justin Crevier

Geosciences Undergraduate Theses

The Mount St. Helens (MSH) 18 May 1980 eruption was a formative event for a generation of volcanologists. With so much data available from detailed studies of the Blast and Plinian phases, MSH could aptly be called one of volcanology's greatest teachers—and the volcano may yet have more to teach us. The transition period, which occurred between the end of the Blast phase (0830) and the beginning of the Plinian phase (0920) on the morning of May 18, 1980, has not yet benefited from the same degree of comprehensive review as either of those phases. The conditions which caused the …

Opportunities For Urban Resilience To Climate Change: Understanding Local Climate Perceptions, Motivations, And Barriers To Green Infrastructure Use, Emmilene Berski

Department of Geography: Dissertations, Theses, and Student Research

Global climate change poses a substantial threat to cities in the United States, particularly through increases in flooding and extreme heat. Cities must adapt to these threats to preserve their residents’ livelihoods and prevent economic loss. One adaptation strategy is the implementation of green infrastructure (GI). The opportunity for GI to foster urban resilience to climate change necessitates a deeper understanding of the extent to which cities utilize GI as a strategy for local climate change adaptation as well as perceptions and motivations surrounding the use of GI at a local level. I sought to address this need through a …

Fluorescent Lifetimes Of Oils And Oil Distillates In Artificial Seawater, Warren J. De Bruyn, Aaron Harrison, Emma Kocik, Dhivya Manickam, Ethan Truong, Catherine D. Clark

Chemistry Faculty and Staff Publications

Supporting data associated with a study of the fluorescent lifetimes of eleven oil and oil distillates in artificial seawater are given. The table is a list of the oil and oil distillate names along with the associated sample numbers used in this study and their API densities.

The excel data file contains lifetimes as a function of emission wavelength for different oils and oil products shown by sample number. The lifetimes were measured with a Horiba DeltaFlex Lifetime System that uses pulsed diode light sources. There is a separate sheet for each excitation source: 268, 285 and 348 nm. Lifetimes …

Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers, Ali Zabihi, Farhood Aghdasi, Chadi Ellouzi, Nand Kishore Singh, Ratneshwar Jha, Chen Shen

Henry M. Rowan College of Engineering Departmental Research

In response to the growing global demand for both energy and a clean environment, there has been an unprecedented rise in the utilization of renewable energy. Wind energy plays a crucial role in striving for carbon neutrality due to its eco-friendly characteristics. Despite its significance, wind energy infrastructure is susceptible to damage from various factors including wind or sea waves, rapidly changing environmental conditions, delamination, crack formation, and structural deterioration over time. This research focuses on investigating non-destructive testing (NDT) of wind turbine blades (WTBs) using approaches based on the vibration of the structures. To this end, WTBs are first …

A Central Limit Theorem For The Number Of Excursion Set Components Of Gaussian Fields, Dmitry Beliaev, Michael Mcauley, Stephen Muirhead

Articles

For a smooth stationary Gaussian field f on R^d and level ℓ ∈ R, we consider the number of connected components of the excursion set {f ≥ ℓ} (or level set {f = ℓ}) contained in large domains. The mean of this quantity is known to scale like the volume of the domain under general assumptions on the field. We prove that, assuming sufficient decay of correlations (e.g. the Bargmann-Fock field), a central limit theorem holds with volume-order scaling. Previously such a result had only been established for ‘additive’ geometric functionals of the excursion/level sets (e.g. the volume or …

Next-Generation Crop Monitoring Technologies: Case Studies About Edge Image Processing For Crop Monitoring And Soil Water Property Modeling Via Above-Ground Sensors, Nipuna Chamara

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

Artificial Intelligence (AI) has advanced rapidly in the past two decades. Internet of Things (IoT) technology has advanced rapidly during the last decade. Merging these two technologies has immense potential in several industries, including agriculture.

We have identified several research gaps in utilizing IoT technology in agriculture. One problem was the digital divide between rural, unconnected, or limited connected areas and urban areas for utilizing images for decision-making, which has advanced with the growth of AI. Another area for improvement was the farmers' demotivation to use in-situ soil moisture sensors for irrigation decision-making due to inherited installation difficulties. As Nebraska …

Asteroidal Sets And Dominating Targets In Graphs, Oleksiy Al-Saadi

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

The focus of this Ph.D. thesis is on various distance and domination properties in graphs. In particular, we prove strong results about the interactions between asteroidal sets and dominating targets. Our results add to or extend a plethora of results on these properties within the literature. We define the class of strict dominating pair graphs and show structural and algorithmic properties of this class. Notably, we prove that such graphs have diameter 3, 4, or contain an asteroidal quadruple. Then, we design an algorithm to to efficiently recognize chordal hereditary dominating pair graphs. We provide new results that describe the …

First-Principles Studies Of Spin Transport And Spin-Orbit Torques, Giovanni Gabriel Báez Flores

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

This dissertation presents first-principles studies focusing on the effects of interfacial spin relaxation in metallic interfaces, interfacial intermixing on spin-orbit torques, and the effects of alloying on the transport properties of Fe|MgO|Fe magnetic tunnel junctions. Spin transport and spin-orbit torques are at the heart of phenomena in magnetic memory devices, such as tunnel magnetoresistance and magnetization switching. This work explores spin transport, spin-orbit coupling, spin-orbit torques, and tunneling magnetoresistance in a variety of materials and interfaces.

First discussed is the role of spin-orbit coupling at metallic interfaces by establishing a generalized magnetoelectronic circuit theory for normal metal (NM) interfaces, (NM|NM), …

Aggregate Games: Computations And Applications, Jared Soundy

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

Existing computational game theory studies consider compact representations of games that capture agent interaction in real-world environments and examine computation aspects of computing equilibrium concepts to analyze or predict agent behavior.

One of the most well-studied representations that capture many commonly studied real-world environments is aggregate games. Aggregate games, first systematically studied by Nobel laureate Reinhard Selten, have various applications in modeling the decision-making interdependence of agents, where each agent’s utility function depends on their own actions and the aggregations or summarizations of the actions of all agents. These applications include Cournot oligopoly competition, public good contribution, and voting, where …

Strong First Order Electroweak Phase Transitions In The Standard Model With A Real Scalar Singlet Extension, Anthony James Hooper

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

The large matter-antimatter asymmetry of the universe and whether the electroweak sector has always been broken are currently unanswered by the standard model (SM). One solution that addresses both these concerns is to impose a strong first order electroweak phase transition (SFOEWPT) and ensure electroweak baryogenesis occurs. Models that undergo a SFOEWPT in the early universe create bubbles of the true vacuum that expand until the universe reaches the vacuum expectation value measured today. If the phase transition is strong enough, then these bubbles may generate a detectable stochastic gravitational wave (GW).

However, the SM by itself can only perform …

From Bits To Beds: Design And Implementation Of A Hotel Booking System A Coding Project, Alexa Gilman

University Honors College

This thesis presents a comprehensive hotel booking system designed and implemented to showcase the transition "From Bits to Beds". There are two main motivations behind this project: firstly, to provide users with a user-friendly and efficient platform for booking accommodations. Secondly, it serves as a great learning opportunity, providing hands-on practice with coding, collaboration with teammates, and exposure to real-world challenges. The system utilizes technologies such as JavaScript, Express.js, and HTML/CSS to offer features like browsing hotels, filtering options, user authentication, and booking management. The implementation of this project demonstrates a successful integration of backend and frontend components, ensuring reliability …