Physical Sciences and Mathematics Commons^™

Final 2023 Residential Metals Abatement Program (Rmap) Park Soil Sampling Field Sampling Plan (Fsp) Submittal #8 [Ramsay Skating Rink, Skyline Park, Butte Vigilante Saddle Club, Butte Country Club, Fairmont Hot Springs, Silver Bow Homes Park, Gloria Dei Lutheran Church, And United Congregational Church], Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Big Ideas In Sports Analytics And Statistical Tools For Their Investigation, Benjamin S. Baumer, Gregory J. Matthews, Quang Nguyen

Statistical and Data Sciences: Faculty Publications

Sports analytics—broadly defined as the pursuit of improvement in athletic performance through the analysis of data—has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncracies of analytical approaches in each sport. While our focus is on the concepts underlying each type of analysis, any implementation necessarily …

Peroxisome Biogenesis Initiated By Protein Phase Separation, Zhenghao Zhang, Lydia Kisley

Faculty Scholarship

Peroxisomes are organelles that carry out β-oxidation of fatty acids and amino acids. Both rare and prevalent diseases are caused by their dysfunction. Among disease-causing variant genes are those required for protein transport into peroxisomes. The peroxisomal protein import machinery, which also shares similarities with chloroplasts, is unique in transporting folded and large, up to 10 nm in diameter, protein complexes into peroxisomes. Current models postulate a large pore formed by transmembrane proteins; however, so far, no pore structure has been observed. In the budding yeast Saccharomyces cerevisiae, the minimum transport machinery includes the membrane proteins Pex13 and Pex14 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 …

Big Ideas In Sports Analytics And Statistical Tools For Their Investigation, Benjamin S. Baumer, Gregory J. Matthews, Quang Nguyen

Mathematics and Statistics: Faculty Publications and Other Works

Sports analytics—broadly defined as the pursuit of improvement in athletic performance through the analysis of data—has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncracies of analytical approaches in each sport. While our focus is on the concepts underlying each type of analysis, any implementation necessarily …

Butte Reduction Works (Brw) Phase Iii Quality Assurance Project Plan (Qapp) Request For Change Brw-2023-01, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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.

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

School of Mathematical & Statistical Sciences Faculty Publications

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 …

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 …

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

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 …

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

Honors Program Theses and Projects

No abstract provided.

Leveraging Neutrosophic Uncertainty Theory Toward Choosing Biodegradable Dynamic Plastic Product In Various Arenas, Mona Mohamed, Karam M. Sallam

Neutrosophic Systems with Applications

Numerous studies in recent years have documented the negative effects of plastic waste on the environment and human wellness. Due to their widespread usage in daily life, particularly in packaging, and their rising direct or indirect discharge into the environment, plastics are recognized as an emerging environmental hazard. Thus, this point is considered the first problem in this study. As a result, efforts to replace traditional plastics with bioplastics have intensified. However, studies regarding the effects of conventional and bioplastics (BioPs) are also important. Hence, biodegradable polymers for industrial and commercial usage are essential in the present day as an …

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 …

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 …

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 …

Approval Letter For The Draft Final Residential Metals Abatement Program (Rmap) 2023 Walkerville Park (Walkerville Drive And Ryan Road) Soil Remedial Action Work Plan (Rawp) (Dated April 24, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Residential Metals Abatement Program (Rmap) Park Field Sampling Plan (Fsp) Submittal #7 [Covering Gold Hill Lutheran Church, Peoples Park, Sioux Park, Charlie Judd Park, Emma Park, Mandan Park, And Walkerville Park (Daly And Dun)] (Dated April 14, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Table Of Contents

Journal of the South Carolina Academy of Science

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 …

Leveraging Neutrosophic Uncertainty Theory Toward Choosing Biodegradable Dynamic Plastic Product In Various Arenas, Mona Mohamed, Karam M. Sallam

Neutrosophic Systems with Applications

Numerous studies in recent years have documented the negative effects of plastic waste on the environment and human wellness. Due to their widespread usage in daily life, particularly in packaging, and their rising direct or indirect discharge into the environment, plastics are recognized as an emerging environmental hazard. Thus, this point is considered the first problem in this study. As a result, efforts to replace traditional plastics with bioplastics have intensified. However, studies regarding the effects of conventional and bioplastics (BioPs) are also important. Hence, biodegradable polymers for industrial and commercial usage are essential in the present day as an …

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Residential Metals Abatement Program (Rmap) Park Field Sampling Plan (Fsp) Submittal #8 [Covering Ramsay Skating Rink, Skyline Park, Butte Vigilante Saddle Club, Butte Country Club, Fairmont Hot Springs, Silver Bow Homes Park, Gloria Dei Lutheran Church, And United Congregational Church] (Dated April 28, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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 …

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 …