Physical Sciences and Mathematics Commons^™

Optical Fiber Tip Micro Anemometer, Jeremiah C. Williams, Hengky Chandrahalim

AFIT Patents

A passive microscopic flow sensor includes a three-dimensional microscopic optical structure formed on a cleaved tip of an optical fiber. The three-dimensional microscopic optical structure includes a post attached off-center to and extending longitudinally from the cleaved tip of the optical fiber. A rotor of the three-dimensional microscopic optical structure is received for rotation on the post. The rotor has more than one blade. Each blade has a reflective undersurface that reflects a light signal back through the optical fiber when center aligned with the optical fiber, the blades of the rotor shaped to rotate at a rate related to …

Food Web Structure And Dynamics Across Space And Time, Angélica González

Sustainability Seminar Series

Human activities are fundamentally altering major biogeochemical cycles, which are at the core of the structure and functioning of Earth’s systems. Increasing inputs of chemical elements such as nitrogen (N) and phosphorus (P) and their imbalanced inputs (N:P ratios) are having severe consequences on ecological phenomena from organism physiology to ecosystem functioning. In this talk, I will discuss the utility of ecological stoichiometry thinking combined with the use of surveys, experiments, and data synthesis approaches, to understand the consequences of shifts in nutrient supply dynamics on ecological processes at multiple scales.

Symmetric Functions Algebras (Sfa) Ii: Induced Matrices, Philip Feinsilver

Journal of Stochastic Analysis

No abstract provided.

Detecting Covid-19 Misinformation On Social Media, Jason Michaud

Honors Projects in Data Science

There have been many studies conducted over the last few years that have attempted to uncover the impacts of the COVID-19 pandemic. One of the largest areas of concern with COVID-19 is misinformation, as it is a novel virus that many report on, even if unqualified to do so. This study aims to predict whether a Tweet can be classified as misinformation, and then analyze the differences between Tweets that are labeled as either misinformation or not by this model. Machine learning models are created and validated using the CovidMis20 dataset as a training set. The dataset to be labeled …

Understanding Non-Fungible Tokens Through Social Media Discussion, David Poretsky

Honors Projects in Data Science

Non-fungible tokens (NFTs) are a peer-to-peer type of blockchain technology which is a unique digital asset transferred completely over the internet (Sarmah, 2018). NFT's have become an integral component of many financial and art communities in recent years, boasting millions of consumers (Regner, 2019). Along with the non-fungible token technology, social media has become a crucial aspect of communication in society, with many consumers of the NFT industry communicating and expressing opinions of the industry on different social media platforms. Considering the rise in popularity of NFTs in recent years, this study aims to gain a deeper understanding of the …

Defining Characteristics That Lead To Cost-Efficient Veteran Nba Free Agent Signings, David Mccain

Honors Projects in Mathematics

Throughout the history of the NBA, decisions regarding the signing of free agents have been riddled with complexity. Franchises are tasked with finding out what players will serve as optimal free agent signings prior to seeing them perform within the framework of their team. This study hypothesizes that the adequacy of an NBA free agent signing can be modeled and predicted through the implementation of a machine learning model. The model will learn the necessary information using training and testing data sets that include various player biometrics, game statistics, and financial information. The application of this machine learning model will …

The Impact Of Virtual Reality On The Healthcare Industry, Peter Sullivan

Honors Projects in Information Systems and Analytics

Virtual reality (VR) took off in 2013 and has touched many public sectors, from gaming, to business, to healthcare. This study looks at virtual reality's impact has affected the healthcare system, with a focus on its use for medical training, patient recovery, patient pain management, and mental health care. A literature review was conducted on the current state of the industry addressing virtual reality's performance in the field, the perception of experts, and an estimation of financial undertakings. Looking at cost analyses brought a fuller approach to the research. Surveying researchers and workers within the realm of healthcare and VR …

Balancing Interests In Forest Governance In Brazil And Indonesia, Annabel Mccormick Baldy

Environment and Sustainability Honors Papers

Forests play a major role in reducing levels of Greenhouse gasses which are a major contributor to global warming. Conversely, deforestation is a major contributor to climate change. This study examines the concept of good forest governance, dispelling notions that resource use needs to be a zero-sum game. Rather, it identifies local collective agreements as espoused by Elinor Ostrom in Governing the Commons as the best means of balancing the undeniable economic potential of converting forests to other uses (grazing, farming, and mining) with the more sustainable approach of protecting forests for their environmental benefit. For Ostrom, these collective agreements …

Reducing Restaurant Inventory Costs Through Sales Forecasting, Tyler Mason, Chris Schoen, Trevor Gilbert, Jonathan Enriquez

Senior Design Project For Engineers

Family Restaurant is a local restaurant in the greater Atlanta area that serves a variety of dishes that include an assortment of 19 different proteins. Currently, Family Restaurant places protein orders based on business intuition, and tends to over-stock and sometimes under-stock. To minimize inventory costs by reducing over-stocking and preventing under-stocking of proteins, we applied Facebook Prophet (FB Prophet), ARIMA, and XG Boost machine learning models to predict protein demand and then fed these results into a Fixed Time Period inventory model to make an overall order suggestion based on the specified time period. We trained our models on …

Introducing Stochastic Time Delays In Gradient Optimization As A Method For Complex Loss Surface Navigation In High-Dimensional Settings, Eric Benson Manner

Theses and Dissertations

Time delays are an inherent part of real-world systems. Besides the apparent slowing of the system, these time delays often cause destabilization in otherwise stable systems, and perhaps even more unexpectedly, can stabilize an unstable system. Here, we propose the Stochastic Time-Delayed Adaptation as a method for improving optimization on certain high-dimensional surfaces, which simply wraps a known optimizer --such as the Adam optimizer-- and is able to add a variety of time-delays. We begin by exploring time delays on certain gradient-based optimization methods and their affect on the optimizer's convergence properties. These optimizers include the standard gradient descent method …

Ultrafast Dynamics Of Photosynthetic Light Harvesting: Strategies For Acclimation Across Organisms, Olivia C. Fiebig, Dvir Harris, Dihao Wang, Madeline P. Hoffmann, Gabriela S. Schlau-Cohen

Chemistry: Faculty Publications

Photosynthetic light harvesting exhibits near-unity quantum efficiency. The high efficiency is achieved through a series of energy and charge transfer steps within a network of pigment-containing proteins. Remarkably, high efficiency is conserved across many organisms despite differences in the protein structures and organization that allow each organism to respond to its own biological niche and the stressors within. In this review, we highlight recent progress toward understanding how organisms maintain optimal light-harvesting ability by acclimating to their environment. First, we review the building blocks of photosynthetic light harvesting, energy transfer, and time-resolved spectroscopic techniques. Then, we explore how three classes …

Asymmetric Synthesis Of The Oxidative Metabolites Of Di(2-Ethylhexyl) Phthalate And Analysis Of Binding With Peroxisome Proliferator-Activated Receptors, Hannah Harris

Departmental Honors & Graduate Capstone Projects

Di(2-ethylhexyl) phthalate (DEHP) is a widely used plasticizer that is known to be an endocrine disrupting chemical (EDC). Exposure to its primary metabolite, mono(2-ethylhexyl) phthalate (MEHP) and other secondary oxidative metabolites is associated with adverse health effects in vivo which are linked to interactions with nuclear hormone receptors such as peroxisome-proliferator activated receptors (PPARs). Although these molecules are chiral, differences in the toxicity of each stereoisomer are not well studied. By synthesizing the enantiomers of these molecules and testing their affinity for PPARγ by thermal shift assay (TSA), potential differences in binding affinity of each form can be determined. Enzymatic …

Two Sample Statistical Test For Location Parameters, Narinder Kumar, Arun Kumar

Journal of Modern Applied Statistical Methods

A class of distribution-free tests for the homogeneity of location parameters is proposed and compared with different competitors in terms of Pitman asymptotic relative efficiency. A numerical example is provided and a simulation study is made to check the performance of the tests.

Using A Distributive Approach To Model Insurance Loss, Kayla Kippes

Departmental Honors & Graduate Capstone Projects

Insurance loss is an unpredicted event that stands at the forefront of the insurance industry. Loss in insurance represents the costs or expenses incurred due to a claim. An insurance claim is a request for the insurance company to pay for damage caused to an individual’s property. Loss can be measured by how much money (the dollar amount) has been paid out by the insurance company to repair the damage or it can be measured by the number of claims (claim count) made to the insurance company. Insured events include property damage due to fire, theft, flood, a car accident, …

Experimental Study Of Neutron Shell Structure In Chromium-53 Via Neutron Transfer To Chromium-52, Dylan Todd Brown-Simms

Physics and Astronomy Honors Papers

A measurement of the ⁵²Cr(d,p) ⁵³Cr reaction at 16 MeV was performed using the Florida State University Super-Enge Split-Pole Spectrograph to determine single-neutron energies for the 2p3/2, 2p1/2, and 1f5/2 orbits. We were able to observe 24 unique states in ⁵³Cr. Using the energies and angular distributions we were able to calculate energy centroids. We discuss these preliminary results in the context of other N = 29 isotones and prospects for future work.

From Deep Mutational Mapping Of Allosteric Protein Landscapes To Deep Learning Of Allostery And Hidden Allosteric Sites: Zooming In On “Allosteric Intersection” Of Biochemical And Big Data Approaches, Gennady M. Verkhivker, Mohammed Alshahrani, Grace Gupta, Sian Xiao, Peng Tao

Mathematics, Physics, and Computer Science Faculty Articles and Research

The recent advances in artificial intelligence (AI) and machine learning have driven the design of new expert systems and automated workflows that are able to model complex chemical and biological phenomena. In recent years, machine learning approaches have been developed and actively deployed to facilitate computational and experimental studies of protein dynamics and allosteric mechanisms. In this review, we discuss in detail new developments along two major directions of allosteric research through the lens of data-intensive biochemical approaches and AI-based computational methods. Despite considerable progress in applications of AI methods for protein structure and dynamics studies, the intersection between allosteric …

Draft Final 2023 Residential Metals Abatement Program (Rmap) Walkerville Park (Walkerville Drive And Ryan Road) Soil Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Stabilizing Polar Phases In Binary Metal Oxides By Hole Doping, Tengfei Cao, Guodong Ren, Ding-Fu Shao, Evgeny Y. Tsymbal, Rohan Mishra

Department of Physics and Astronomy: Faculty Publications

The recent observation of ferroelectricity in the metastable phases of binary metal oxides, such as HfO₂, ZrO₂, Hf_0.5Zr_0.5O₂, and Ga₂O₃, has garnered a lot of attention. These metastable ferroelectric phases are typically stabilized using epitaxial strain, alloying, or defect engineering. Here, we propose that hole doping plays a key role in the stabilization of polar phases in binary metal oxides. Using first-principles density-functional-theory calculations, we show that holes in these oxides mainly occupy one of the two oxygen sublattices. This hole localization, which is more pronounced …

Impacts Of Irrigation Technology, Irrigation Rate, And Drought-Tolerant Genetics On Silage Corn Production, Tina Sullivan, Matt Yost, Dakota Boren, Earl Creech, Boyd Kitchen, Randall Violett, Burdette Barker

Plants, Soils and Climate Student Research

Many studies have examined individual water-saving management practices for corn (Zea mays L.), but few studies have looked at how combinations of practices might further enhance water optimization. The research objectives of this paper were to evaluate the impact of irrigation technology, irrigation rate, and crop genetics, as well as their interactions, on silage corn yield and forage quality. Trials were conducted in three Utah locations from 2019 through 2021. The results from five site-years indicated that the best water optimization practices varied by site-year. Low-elevation sprinklers commonly applied water more efficiently, with four of the five site-years having …

The Theatre Of Math: The Stage As A Tool For Abstract Math Education, Blaine Hudak

Honors Projects

So often in the education of Mathematics does instruction solely consist of the lecture. While this can be an effective method of communicating the ideas of math, it leaves much to be desired in gathering the interest and intrigue of those who have not dedicated their lives to the study of the subject. Theatre, by contrast, is a tool that has been used in the past as means of teaching complicated and difficult to understand moral and emotional subjects. While Theatre and Mathematics have been used in combination many times in the past, it is most often done in the …

Transannular Functionalization Of Multiple C(Sp3)-H Bonds Of Tropane Via An Alkene-Bridged Palladium(I) Dimer, Ellen Y. Aguilera, En Chih Liu, Scott M. Thullen, Melanie S. Sanford

Chemistry Faculty Research & Creative Works

This Communication describes the Pd-catalyzed C(sp³)-H functionalization of a tropane derivative to generate products with functionalization at two (β/γ) or three (β/γ/β) different sites on the alicyclic amine core. These reactions proceed via an initial dehydrogenation to generate an alkene product that can react further to form a Pd(I) alkene-bridged dimer. Functionalization of this dimer affords β/γ/β-functionalized allylic arylation and allylic acetoxylation products.

Uncertainty From The Aharonov–Vaidman Identity, Matthew S. Leifer

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this article, I show how the Aharonov–Vaidman identity A|ψ>=<A⟩|ψ>+ΔA| ψ⊥A> can be used to prove relations between the standard deviations of observables in quantum mechanics. In particular, I review how it leads to a more direct and less abstract proof of the Robertson uncertainty relation ΔAΔB≥12|< [A,B]>| than the textbook proof. I discuss the relationship between these two proofs and show how the Cauchy–Schwarz inequality can be derived from the Aharonov–Vaidman identity. I give Aharonov–Vaidman based proofs of the Maccone–Pati uncertainty relations …

Teaching About The Global Refugee Crisis, Melissa Kafer

Honors Projects

Around the world, there are more than 30 million refugees (UNHCR, 2023) facing language barriers, cultural differences, prejudice, racism, and xenophobia. The number of admitted refugees in 2022 has more than doubled since 2021 (Duffin, 2022), and yet, many Americans do not know or understand the global refugee crisis. There are misconceptions in America that cause lack of empathy, bias, and prejudice towards refugees. Through the creation of four lesson plans, this research project aims to discover Americans’ misunderstandings regarding refugees and teach them about the crisis to remedy the misconceptions. This study includes a literature review detailing appropriate teaching …

Gr-342 Integration Of Blockchain In Computer Networking: Overview, Applications, And Future Perspectives For Software-Defined Networking (Sdn), Network Security And Protocols, Md Jobair Hossain Faruk

C-Day Computing Showcase

The rapid advancement and increasing complexity of computer networks have created a need for robust, secure, and scalable solutions to manage and protect network resources. Blockchain, an emerging distributed ledger technology, offers enhanced security, transparency, and privacy preservation, making it a promising solution for addressing networking challenges. This paper presents a comprehensive survey of blockchain integration in computer networking, focusing on its potential applications, benefits, and future perspectives in Software-defined Networking (SDN), network security, and networking protocols. We identify that blockchain's tamper-proof nature could significantly improve network security by mitigating risks associated with centralized control and single points of failure. …

Ec-371 Planit Crm - Refactoring For The Future, Justin Hall, Oluwaseyi Falaiye, Thomas Anderson, Sai Krupa Bariki Vidura, Samet Yekta Guclu, Ahmet Bugra Dogan

C-Day Computing Showcase

Planit CRM is a Customer Relationship Management (CRM) software that helps in managing and tracking projects, tasks, invoices, quotes, leads, customers, transactions and much more. This software allows anyone to manage leads, create invoices, and start collecting payments seamlessly. The system was developed by Driven Software Solutions under the guidance of Shahzib Sarfraz in 2018. The software has since been used by business owners to allow for easier management of the income and expenses of their operation. It is supported by a team of around fifty developers who maintain the PlanIT CRM software off the site https://planitcrm.com, which can be …

Gr-334 Comparative Evaluation Of Embed Dataset For Mammogram Classification Using Deep Learning Techniques, Nalla Vineela

C-Day Computing Showcase

Breast cancer is a global health concern for women. The detection of breast cancer in its early stages is crucial, and screening mammography serves as a vital leading-edge tool for achieving this goal. In this study, we evaluated the performance of centralized versions of Resnet 50v2 and Resnet 152v2 models for classification of mammograms using different datasets, which were divided by location number extracted from the EMBED dataset. The datasets were preprocessed and used various techniques to improve the performance of the models. The models are trained and evaluated using metrics such as accuracy, area under the curve (AUC), F1 …

Hipaa Vs. Medical Research: Improving Patient Care Through Integration Of Data Privacy And Data Access, Katherine D'Ordine

Honors Projects in Data Science

The purpose of this research is to understand the current relationship between data access and data privacy in the health care industry and attempt to find a way that important health care research can still be conducted amidst HIPAA regulations. There is a lack of extensive research on the impacts of data privacy on health care research due to access regulations, so a survey was created regarding current data processes and recommendations for creating a healthier relationship between privacy and access for research. It was distributed to anyone in health care, analytics, or research to get a variety of perspectives. …

The State Of Accessibility In Blackboard: Survey And User Reviews Case Study, Mohamed Wiem Mkaouer, Wajdi Aljedaani, Stephanie Ludi, Mohammed Alkahtani, Marcelo M. Eler, Marouane Kessentini, Ali Ouni

Articles

Context: Nowadays, mobile applications (or apps) have become vital in our daily life, particularly within education. Many institutions increasingly rely on mobile apps to provide access to all their students. However, many education mobile apps remain inaccessible to users with disabilities who need to utilize accessibility features like talkback or screen reader features. Accessibility features have to be considered in mobile apps to foster equity and inclusion in the educational environment allowing to use of such apps without limitations. Gaps in the accessibility to educational systems persist.

Objective: In this paper, we focus on the accessibility of the Blackboard mobile …

The Impact Of Artificial Intelligence On The Cybersecurity Industry, Lindsey Shearstone

Honors Projects in Information Systems and Analytics

As our world becomes more digitalized, cyber criminals have an increasing landscape to launch their attacks. Developments in Artificial Intelligence are being used both to attack and defend networks, therefore, what is the next step for cybersecurity companies when it comes to beating these criminals? A study was conducted that utilizes previous literature sources written on the topic of Artificial Intelligence (AI) in the cybersecurity industry. In addition, the insights of professionals in the industry today are included through a survey and interviews to dive into the details of this battle and what lays in its future. The purpose of …

A Pharmacoepidemiological Study Of Myocarditis And Pericarditis Following The First Dose Of Mrna Covid-19 Vaccine In Europe, Joana Tome, Logan Cowan, Isaac Fung

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

This study assessed the myocarditis and pericarditis reporting rate of the first dose of mRNA COVID-19 vaccines in Europe. Myocarditis and pericarditis data pertinent to mRNA COVID19 vaccines (1 January 2021–11 February 2022) from EudraVigilance database were combined with European Centre for Disease Prevention and Control (ECDC)’s vaccination tracker data. The reporting rate was expressed as events (occurring within 28 days of the first dose) per 1 million individuals vaccinated. An observed-to-expected (OE) analysis quantified excess risk for myocarditis or pericarditis following the first mRNA COVID-19 vaccination. The reporting rate of myocarditis per 1 million individuals vaccinated was 17.27 (95% …