Physical Sciences and Mathematics Commons^™

Draft Final 2023 Residential Metals Abatement Program (Rmap) Racetrack Borrow Submittal, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Balancing Functional Tradeoffs Between Protein Stability And Ace2 Binding In The Sars-Cov-2 Omicron Ba.2, Ba.2.75 And Xbb Lineages: Dynamics-Based Network Models Reveal Epistatic Effects Modulating Compensatory Dynamic And Energetic Changes, Gennady M. Verkhivker, Mohammed Alshahrani, Grace Gupta

Mathematics, Physics, and Computer Science Faculty Articles and Research

Evolutionary and functional studies suggested that the emergence of the Omicron variants can be determined by multiple fitness trade-offs including the immune escape, binding affinity for ACE2, conformational plasticity, protein stability and allosteric modulation. In this study, we systematically characterize conformational dynamics, structural stability and binding affinities of the SARS-CoV-2 Spike Omicron complexes with the host receptor ACE2 for BA.2, BA.2.75, XBB.1 and XBB.1.5 variants. We combined multiscale molecular simulations and dynamic analysis of allosteric interactions together with the ensemble-based mutational scanning of the protein residues and network modeling of epistatic interactions. This multifaceted computational study characterized molecular mechanisms and …

When Ai Moves Downstream, Frances S. Grodzinsky, Keith W. Miller, Marty J. Wolf

School of Computer Science & Engineering Faculty Publications

After computing professionals design, develop, and deploy software, what is their responsibility for subsequent uses of that software “downstream” by others? Furthermore, does it matter ethically if the software in question is considered to be artificial intelligent (AI)? The authors have previously developed a model to explore downstream accountability, called the Software Responsibility Attribution System (SRAS). In this paper, we explore three recent publications relevant to downstream accountability, and focus particularly on examples of AI software. Based on our understanding of the three papers, we suggest refinements of SRAS.

An Application Of The Pagerank Algorithm To Ncaa Football Team Rankings, Morgan Majors

Honors Theses

We investigate the use of Google’s PageRank algorithm to rank sports teams. The PageRank algorithm is used in web searches to return a list of the websites that are of most interest to the user. The structure of the NCAA FBS football schedule is used to construct a network with a similar structure to the world wide web. Parallels are drawn between pages that are linked in the world wide web with the results of a contest between two sports teams. The teams under consideration here are the members of the 2021 Football Bowl Subdivision. We achieve a total ordering …

P-Adic Statistical Field Theory And Convolutional Deep Boltzmann Machines, Wilson A. Zuniga-Galindo, Cuiyu He, B. A. Zambrano-Luna

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Understanding how deep learning architectures work is a central scientific problem. Recently, a correspondence between neural networks (NNs) and Euclidean quantum field theories has been proposed. This work investigates this correspondence in the framework of p-adic statistical field theories (SFTs) and neural networks. In this case, the fields are real-valued functions defined on an infinite regular rooted tree with valence p, a fixed prime number. This infinite tree provides the topology for a continuous deep Boltzmann machine (DBM), which is identified with a statistical field theory on this infinite tree. In the p-adic framework, there is a …

Integrating Ai Into Culinary Medicine: A Revolution In Nutrition And Home Cooking, Emeka Ikeakanam, Evan Curry, Terrence Mchugh, Jason Walker

Research Day

Introduction

With the growing popularity of the emerging field of culinary medicine, there is a growing understanding of the culinary barriers needed to be overcome to adopt healthier eating habits. Lack of confidence, low skills, and lack of time are some of the most common barriers that prevent individuals from cooking at home. However, integrating AI can offer personalized support for home cooking and help individuals overcome these barriers. AI-powered meal planning and recipe suggestions can guide healthy and nutritious food choices that cater to their dietary needs and preferences. Additionally, AI can modify recipes to accommodate individual health conditions …

A Recommender System For Movie Ratings With Matrix Factorization Algorithm, Amir Alipour Yengejeh

Data Science and Data Mining

Nowadays, a Recommender System is a technology
that aims to predict preferences based on the user’s selections.
These systems are applied in numerous fields, such as movies,
music, news, books, research articles, search queries, social tags,
and various products. In this study, we use this potential tool to
predict the ratings of users’ preferences in MovieLens datasets. To
do so, we applied the matrix factorization algorithm and calculate
the RMSE as our evaluation metric. The results represent that
RMSE estimated for the train and test set are 0.83 and 0.93 that
are very close one another. This results indicates that …

Genome-Wide Association Study Of The Maize Crop By The Lasso Regression Analysis, Amir Alipour Yengejeh

Data Science and Data Mining

The accurate estimation of the male flowering period in Maize crops is key for the prediction crop fertility. The recent scientific investigations has shown that the genetic single nucleotic polymorphism (SNP) can contribute in this regard. The genomewide association study (GWAS) is employed to generate these attributes (SNP). But it caused a high-dimensional data in which 4,981 observations with 7,389 SNP attributes. Hence, in this study, we used the penalized regression approach with the least absolute shrinkage and selection operator (Lasso) to reduce the dataset. In this regard, we set the regularization parameter to 0.21. It resulted in a set …

Analysis Of Credit Approval By Decision Tree, Amir Alipour Yengejeh

Data Science and Data Mining

Nowadays, machine learning algorithms are com-
monly used by the financial institutions or bankers to evaluate
the applications’ requires for credit card. In this study, we used
the decision tree algorithm to predict credit card approval based
on the other associated features applicants like age, employment
status, Education Level, etc. Our results shows that the applicants’
Prior Default and Debt, and Employed have more contribution
in the credit card approval.

Movie Recommender System Using Matrix Factorization, Roland Fiagbe

Data Science and Data Mining

Recommendation systems are a popular and beneficial field that can help people make informed decisions automatically. This technique assists users in selecting relevant information from an overwhelming amount of available data. When it comes to movie recommendations, two common methods are collaborative filtering, which compares similarities between users, and content-based filtering, which takes a user’s specific preferences into account. However, our study focuses on the collaborative filtering approach, specifically matrix factorization. Various similarity metrics are used to identify user similarities for recommendation purposes. Our project aims to predict movie ratings for unwatched movies using the MovieLens rating dataset. We developed …

G-Coatomic Modules, Ahmed H. Alwan

Al-Bahir Journal for Engineering and Pure Sciences

Let R be a ring and M be a right R-module. A submodule of is said to be g-small in , if for every submodule , with implies that . Then is a g-small submodule of . We call g-coatomic module whenever and then . Also, is called right (left) g-coatomic ring if the right (left) -module (R) is g-coatomic. In this work, we study g-coatomic modules and ring. We investigate some properties of these modules. We prove is g-coatomic if and only if each is g-coatomic. It is proved that if is a g-semiperfect ring with , then …

Atlantic Zambezi Global, Dabana Intenque

Honors Program Theses and Projects

The purpose of “Atlantic Zambesi Global” is to offer an online marketplace that does not exist in my home country. People in Guinea struggle when they want something that does not exist in the region. The current way they get the product they want: 1. Either by someone getting the product for them 2. By traveling to get the product themselves. I created an online delivery system that will help people get their basic needs products at home and spend less.

Optimizing Photosystem I And Plastocyanin Isolation To Develop A Photosystem I-Catalyst System For Photochemical Hydrogen Production, Angelina Vuong

Honors Program Theses and Projects

Over the course of many years, greenhouse gases such as carbon dioxide (CO2) and methane (CH4) have formed in large amounts in the atmosphere, which has contributed to global warming. Global warming can lead to extreme weather conditions or have an impact on living organisms, for example, wildfires, droughts, limited amount of food sources, and respiratory issues from pollution. This is mainly due to the use of burning fossil fuel as an energy source, which emits greenhouse gases into the air and traps heat into the atmosphere. Thus, the aim of this study is to assemble and characterize a system …

The Process Of Using Unity To Create A 2d Video Game, Sean Tammelleo

Honors Program Theses and Projects

No abstract provided.

Fedar+: A Federated Learning Approach To Appliance Recognition With Mislabeled Data In Residential Environments, Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das

Computer Science Faculty Research & Creative Works

With the enhancement of people's living standards and the rapid evolution of cyber-physical systems, residential environments are becoming smart and well-connected, causing a significant raise in overall energy consumption. As household appliances are major energy consumers, their accurate recognition becomes crucial to avoid unattended usage and minimize peak-time load on the smart grids, thereby conserving energy and making smart environments more sustainable. Traditionally, an appliance recognition model is trained at a central server (service provider) by collecting electricity consumption data via smart plugs from the clients (consumers), causing a privacy breach. Besides that, the data are susceptible to noisy labels …

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

Mutualism In Architecture, Tj Rottenberg

Bachelor of Architecture Theses - 5th Year

Mutualism is a term more commonly used in Ecology and can be defined as the relationship between organisms of differing species in which each benefit. In Architectural terms, Mutualism can be defined as the relationship between differing owners, buildings, typologies, or programs in which each benefit. A relationship already exists in many forms, but not always in a mutually beneficial way. I propose that architecture be designed and built in such a way that physical architecture relates to its surrounding infrastructure in such a way that creates a system or an ecosystem that is mutually beneficial.

In nature there are …

Rapidly Changing Range Limits In A Warming World: Critical Data Limitations And Knowledge Gaps For Advancing Understanding Of Mangrove Range Dynamics In The Southeastern Usa, Rémi Bardou, Michael J. Osland, Steven Scyphers, Christine Shepard, Karen E. Aerni, Jahson B. Alemu I, Robert Crimian, Richard H. Day, Nicholas M. Enwright, Christopher A. Gabler

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Climate change is altering species’ range limits and transforming ecosystems. For example, warming temperatures are leading to the range expansion of tropical, cold-sensitive species at the expense of their cold-tolerant counterparts. In some temperate and subtropical coastal wetlands, warming winters are enabling mangrove forest encroachment into salt marsh, which is a major regime shift that has significant ecological and societal ramifications. Here, we synthesized existing data and expert knowledge to assess the distribution of mangroves near rapidly changing range limits in the southeastern USA. We used expert elicitation to identify data limitations and highlight knowledge gaps for advancing understanding of …

Exploring The Interaction Of Minor-Groove-Binder Netropsin With Dna Using Optical Tweezers, Irbazhusain Shaikh

Honors Program Theses and Projects

Netropsin is an antibiotic that binds in the minor grooves of DNA, which also exhibits anticancer properties. There have been many previous studies that explored the binding of this drug to DNA using traditional methods where an ensemble averaging is used. In this study we explore the interaction of Netropsin with DNA at a single molecule level using dual beam optical tweezers. We trapped and stretched a single DNA molecule using optical tweezers to measure the force experienced by the DNA as a function of extension in the absence and presence of various concentrations of Netropsin. Our results show the …

An Investigation Into The Use Of Ionic Liquid Solvents As Potential Therapeutic Agents To Help Alleviate Disease Caused By The Formation Of Insoluble Plaque Or Depositions, Sundus Alchaar

Honors Program Theses and Projects

Many diseases are caused or worsened by the formation of insoluble aggregates inside the human body, most of which are currently treated by maintenance medication or surgery. Biocompatible Ionic Liquids (ILs) have been explored for use as therapeutic agents, and are also excellent solvents, due to their versatile physical and chemical properties. The aim of this project was to conduct a preliminary exploration of the use of ILs to dissolve different types of depositions, such as kidney stones and crystal-induced arthropathies, and plaques. An imidazolium-based IL and four biocompatible choline amino acid-based ILs ([Ch][AA]-ILs) were synthesized, which are 1-methyl-3-butyl-methylimidazolium iodide …

Perspective Sky: A New Architectural Typology For Astronomy, Brendan Lydic

Bachelor of Architecture Theses - 5th Year

This thesis aims to reconnect modern humans to the night sky and the universe around us. A connection that has been lost to a multitude of barriers and distractions. Physical barriers like air and light pollution, and distractions like technology and overwhelming world events. I aim to restore this connection by creating a new architectural typology for the observation of and education about the night sky, the cosmos, and astronomy. It will serve as a site of pilgrimage, where visitors of all ages can re-engage with the stars and reintroduce themselves to the perspective of our ancestors. The questions I …

Book Review Of Inside Mathforum.Org: Analysis Of An Internet Based Education Community., Jose Ponce

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Inside Mathforum.org: Analysis of an Internet-Based Education Community, Wesley Shumar, Cambridge University Press, September 7, 2017, 1st Edition, 204 pages, ISBN: 9781108518345 (e-book).

Glitch Subtraction From Gravitational Wave Data Using Adaptive Spline Fitting, Soumya D. Mohanty, Mohammad A. T. Chowdhury

Physics and Astronomy Faculty Publications and Presentations

Transient signals of instrumental and environmental origins ("glitches") in gravitational wave data elevate the false alarm rate of searches for astrophysical signals and reduce their sensitivity. Glitches that directly overlap astrophysical signals hinder their detection and worsen parameter estimation errors. As the fraction of data occupied by detectable astrophysical signals will be higher in next generation detectors, such problematic overlaps could become more frequent. These adverse effects of glitches can be mitigated by estimating and subtracting them out from the data, but their unpredictable waveforms and large morphological diversity pose a challenge. Subtraction of glitches using data from auxiliary sensors …

The Right Tree In The Right Place For The Right Reason, John Ogan

COD Library Student Research and Award Symposium

The United Nation’s Sustainable Development Goal 15 calls for countries to implement programs that improve life on land, in part by sustainably managing forests. I worked with three organizations that are committed to this goal. At Churchill Woods Forest Preserve, entire volunteer restoration teams work to remove invasive Honeysuckle and Buckthorn. At COD’s outdoor lab, students restore our campus’ natural areas by performing a variety of ecological tasks. On Earth Day, a crowd of volunteers assembled to reforest a reclaimed agricultural field. Participating in these efforts and encouraging others to do so helps us achieve a healthy Earth biome.

Faculty …

The Efficacy Of A Carbon Tax In Modern-Day America, Paige Adkins

COD Library Student Research and Award Symposium

Exploring how effective a carbon tax in the United States would be when considering the social, economic, and political factors its legislation would harbor. Delving into five articles and data analysis through a lens of critical thinking, the bias in studies conducted about the tax is examined, and further external implementation factors are considered. Flaws in scientific reasoning and inconsistencies among sources are discussed, and taken into consideration when determining a carbon tax’s efficacy. Driven by logic, these sources are put under the microscope to ultimately determine how beneficial a carbon tax would be without skewed opinions shaping its conclusion. …

Spectral Fits Of Brown Dwarfs: Discovering Trends Across The Spectral Type Sequence, Savanah Turner, Denise Stephens, Conner Scoresby

Utah Space Grant Consortium

Brown dwarfs are substellar objects that form like stars but never achieve the core temperatures and pressures needed to ignite hydrogen fusion. These "failed stars" have been shown to exhibit complex atmospheres similar to those of planets, making them useful analogs for exoplanets. As a brown dwarf cools over time, different cloud species condense or fall below the surface of the atmosphere, causing changes in the resulting spectrum of the object. Comparison of theoretical atmospheric models to real brown dwarf spectra can provide insight into the physical and chemical processes occurring in the atmosphere of the object. We have fit …

Comparing A 3-D Printed Hemispherical-Head And Rankine Body Probe Shapes For Very Low Speed Air Data Measurements, Stephen A. Whitmore, Zheng Qi C. Case

Utah Space Grant Consortium

This study investigates the feasibility of using Flush Air Data Sensing (FADS) System technology for air data measurements at the very low-airspeeds, where many Unmanned Aerial Vehicles (UAVs) operate. FADS is a non-intrusive alternative to pitot probes, where the vehicle nosecone, wing leading edge, or other aerodynamic surface is configured with multiple pressure-ports distributed along the windward surface. Although FADS technology has been used for a variety of high-speed aircraft, FADS has never been applied to very low-airspeed flight regimes. This study reports on wind tunnel tests of two 3-D printed shapes: 1) a cylindrical body with a hemispherical head, …

Continuous-Time Trajectory Estimation For Differentially Flat Systems, Jacob C. Johnson, Joshua G. Mangelson, Randal W. Beard

Utah Space Grant Consortium

Continuous-time estimation using splines on Lie groups has been gaining traction in the literature in recent years due to their ability to incorporate high-frequency sensor data without introducing new optimization parameters. However, evaluating time derivatives and Jacobians of Lie group splines is computationally expensive, limiting their use mainly to offline applications. Motivated by the trajectory planning literature, we develop a new estimation technique that leverages the differential flatness property of many dynamic systems to define the spline in the system's flat output space, which is often Euclidean, and show an example of its use with the unicycle dynamic model. We …

One-Dimensional Radial Turbomachinery Modeling, Chase Oliphant

Utah Space Grant Consortium

Centrifugal flow impellers are commonly used in a wide variety of industrial machines. Predicting the performance of these impellers over the entire operating range is key to the system development during the early design stages. The two element in series (TEIS) and two-zone model can be used to accurately predict impeller performance based on flow physics and empirical correlations. Correlations were made with linear regression on a database of 50 pumps and 75 impellers. These correlations were later found to only apply to designs that are similar to those in the database. This paper proposes a new method to generate …

A Preliminary Review And Discussion Of Metrics For Origami-Based Deployable Arrays, Katie Varela, Spencer P. Magleby

Utah Space Grant Consortium

When designing deployable structures, there are many things to consider that help the deployment method integrate with the system. Preliminary metrics are proposed to help rate the deployment systems to determine the best methods for each application. The top four metrics that apply to most space applications are mass, usable area, volume, and energy. Additional considerations that are less quantifiable are included for the value they contribute to the system. Trade-offs may be necessary for different applications.