Physical Sciences and Mathematics Commons^™

The Temple Of Immensity: For Choir And Electronics, Steven Naylor

Honors Projects

the temple of immensity is a composition for 16-part choir and fixed media electronics composed by Steven Naylor using astronomical data concerning the stars nearest to Earth and their properties. “The temple of immensity” is an archaic and rarely used term, defined as “the universe or the complete overhead expanse of the heavens, especially as conceived as an object of religious reverence.” This piece seeks to convey feelings of wonder and awe for outer space through the setting of an original self-composed poem and through the use of star data to determine musical aspects. The resulting 28-minute composition blends voices …

Antimicrobial Activity Of Bacterial Virus Components: An Empirical Investigation Of The Killing Capacity Of Toxins From Burkholderia, Kyle Walny

Honors Projects

Given the growing issue in healthcare of antibiotic resistance, effective and safe alternative treatment methods are required. One of these possible alternative treatment methods is bacteriotoxins including bacteriocins and tailocins. The focus of this study is a bacteriotoxin from Burkholderia cenocepacia (ATCC 25608), which was induced for toxin using a modified UV light induction procedure and tested against a variety of Pseudomonas and Burkholderia for its killing capacity. Various other pathogenic strains were then induced with UV light and tested. The results showed that the toxin from ATCC 25608 was very effective against most of the Burkholderia tested and warrants …

How Can Stem Retention Rates At Bgsu Be Increased Both In And Out Of The Classroom?, Josalyn A. Coffee

Honors Projects

Previous research in STEM student retention rates showed a gap in knowledge regarding why this group of student experience higher rates of burnout than other groups of students. This study investigated the barriers STEM students at BGSU experienced. A survey was sent out to STEM and non-STEM students alike that asked questions regarding student’s personal history before attending BGSU, their course experiences at BGSU, and the levels of support they have outside of BGSU. The survey data showed that there was little difference in the rates that students switch majors solely based on being in the STEM field. The data …

Staying One Step Ahead Of The Growing Electric Vehicle Market, Russell Molter

Honors Projects

Electric vehicles are becoming more popular among drivers as they become more affordable and as people become more aware of the benefits of electric vehicles. Because of this, the demand for electric car chargers is quickly increasing across the country. This includes BGSU’s campus. Right now, there are seven chargers available on campus, but with the trends in how the electric vehicle market is growing, BGSU should create a plan to install many more chargers to meet the increasing demand for charging stations. This strategy will allow BGSU to keep up with the growing electric vehicle market, which will additionally …

Teacher Education Programs Of Top Pisa Scoring Countries, Stephanie Kafer

Honors Projects

This research paper aims to investigate the teacher education programs of four different countries that have consistently scored high on the international Programme for International Student Assessment (PISA) test. This project intends to answer two questions: What locations consistently perform high on the Programme for International Student Assessment (PISA) test? What do the teacher training programs look like for these locations and are there commonalities between programs of different locations? The first question is answered using statistics of PISA scores from the past twenty years and from those statistics, the top four countries that this paper focuses on are Finland, …

Space Science And Social Media: Automating Science Communication On Twitter, Maia Williams

Honors Projects

This project analyzes how social media is used to engage general audiences in astronomy and space science, as well as ways to improve engagement through automation. Tweets from five space science organizations were sampled. The engagement rate for each tweet was calculated from the number of interactions it received. Accounts that tweet more per day had more followers, and accounts with more followers received more interactions. This project also investigated how to build a Twitter bot to automate science communication. Using NASA Application Programming Interfaces, a Twitter bot was written in Python to tweet images taken by the NASA Mars …

Monty Hall Meets Game Theory, Jamie Lynn Dobson

Honors Projects

I explored the Monty Hall game scenario and how to calculate the chances of winning by staying or switching doors using a probability and game theory approach. I also calculated how these chances change when there are 4, 5,..., n doors.

Assessing Competitive Reaction Rates In The Nitration Of 2-Methylbiphenyl, Biphenyl, And Toluene To Determine Steric Restriction In Resonance-Stabilized Planarization Of The Carbocation Intermediates, Victor A. Hanson, Tristan Wine, Kevin Bartlett, Joshua Padilla, Alessandro Rizzi

Honors Projects

Electrophilic aromatic substitution (EAS) reactions have long been a fundamental addition to sophomore-level organic chemistry classes, allowing students the opportunity to explore the electron donating and withdrawing effects of electrons contained in the substituents of the aromatic reactant. In this paper we present preliminary findings on the nitration of methylated biphenyls using kinetic and regioselective assessments to analyze steric influences on the planarization of 2-methylbiphenyl after EAS nitration. Our preliminary findings show that nitration favors the methylated phenyl ring of 2-methylbiphenyl, indicating that the steric influence of the methyl group restricts planarization of the carbocation intermediate. Furthermore, a competition nitration …

Can Parallel Gravitational Search Algorithm Effectively Choose Parameters For Photovoltaic Cell Current Voltage Characteristics?, Alan Kirkpatrick

Honors Projects

This study asks the question “Can parallel Gravitational Search Algorithm (GSA) effectively choose parameters for photovoltaic cell current voltage characteristics?” These parameters will be plugged into the Single Diode Model to create the IV curve. It will also investigate Particle Swarm Optimization (PSO) and a population based random search (PBRS) to see if GSA performs the search better and or more quickly than alternative algorithms

Salicylic Acid Response To Simulated Herbivory In Geographically Distinct T. Heterophylla And H. Discolor Populations, Amy E. Castle

Honors Projects

It is commonly known that plants may produce salicylic acid as a chemical defense response to wounding, although the phenomenon has usually been observed with regard to insect herbivory. Stem and leaf tissue of two species, Tsuga heterophylla and Holodiscus discolor, which are often eaten by deer, were extracted in methanol and analyzed by HPLC to quantify salicylic acid concentration in experimentally wounded or control samples. No salicylic acid response was detectable in T. heterophylla, suggesting it is a less useful candidate species for future study. Some but not all H. discolorsamples had a measurable salicylic acid …

Modeling Biliary Polycyclic Aromatic Hydrocarbon Metabolites In Fish Using High Performance Liquid Chromatography With Fluorescence Detection, Principal Component Analysis, And Partial Least-Squares Analysis, Joshua C. Padilla

Honors Projects

Polycyclic aromatic hydrocarbons (PAHs) constitute a diverse class of highly toxic, ubiquitous environmental pollutants, and are thus of high interest in environmental monitoring and regulation. In this study, biliary samples of English soles Parophrys vetulus and smallmouth bass Micropterus dolomieu from Seattle waterways, and chum salmon Onchorynchus keta from the north Pacific Ocean were analyzed by high performance liquid chromatography with fluorescence detection (HPLC-FLD) to gauge PAH exposure. Samples were profiled in three broad molecular weight categories, to capture naphthalene-like (NAPH), phenanthrene-like (PHEN), and benzo[a]pyrene-like (BAP) metabolites. While quantification was not achieved for the chum salmon, the semi-quantitative measurements of …

The Regiochemistry And Relative Reaction Rates Of Methylbiphenyl Isomers In Electrophilic Aromatic Substitution Reaction (Eas) Nitrations Suggest A Non-Planar Geometry For 2-Methylbiphenyl While 3- And 4-Methylbiphenyl Remain Planar, Tristan Pj Wine

Honors Projects

Electrophilic aromatic substitution (EAS) reactions have long been a fundamental addition to sophomore-level organic chemistry classes, allowing students the opportunity to explore the electron donating and withdrawing effects of electrons contained in the substituents of the aromatic reactant. In this paper we present preliminary findings on the nitration of methylated biphenyls using kinetic and regioselective assessments to analyze steric influences on the planarization of 2-methylbiphenyl after EAS nitration. Our preliminary findings show that nitration favors the methylated phenyl ring of 2-methylbiphenyl, indicating that the steric influence of the methyl group restricts planarization of the carbocation intermediate. Furthermore, a competition nitration …

Machine Learning In Stock Price Prediction Using Long Short-Term Memory Networks And Gradient Boosted Decision Trees, Carl Samuel Cederborg

Honors Projects

Quantitative analysis has been a staple of the financial world and investing for many years. Recently, machine learning has been applied to this field with varying levels of success. In this paper, two different methods of machine learning (ML) are applied to predicting stock prices. The first utilizes deep learning and Long Short-Term Memory networks (LSTMs), and the second uses ensemble learning in the form of gradient tree boosting. Using closing price as the training data and Root Mean Squared Error (RMSE) as the error metric, experimental results suggest the gradient boosting approach is more viable.

Honors Symposium: ML is …

Pectin And Alginate Extraction To Treat Liquid Cafo Manure, Clare Sunderman

Honors Projects

For this project, various extraction methods were used to extract pectin from Pastinaca Sativa and alginate from Macrocystis. These extractions were then dried and used in treating 250mL of manure along with a CaCl₂ or FeCl₃ coagulant. It was found that CaCl₂ was not as effective as FeCl₃ in coagulating manure. But the results obtained suggest that pectin and alginate obtained with a simpler extraction method is just as effective as the highly purified and refined pectin and alginate produced for the food industry, in the treatment of CAFO manure. The liquid portion of the …

Unsupervised And Supervised Learning For Rna-Protein Interactions And Annotations, Kateland Sipe

Honors Projects

This project analyzed the base and amino acid interactions and annotations through the use of unsupervised and supervised learning techniques. For unsupervised learning, clustering found the data was not able to be distinguished into clear groups which matched the original annotations through kmeans clustering and hierarchical clustering. For supervised learning, the use of random forest, glmnet, and deep learning neural networks were successful in creating accurate predictions. However, machine learning likely will not be able to replace the original complex program, but could be used for possible simplification.

An Exploratory Analysis Of The Bgsu Learning Commons Student Usage Data, Emily Eskuri

Honors Projects

The purpose of this study was to explore past student usage data in individualized tutoring sessions from the Learning Commons from two academic years. The Bowling Green State University (BGSU) Learning Commons is a learning assistance center that offers various services, such as individualized tutoring, math assistance, writing assistance, study hours, and academic coaching. There have been limited research studies into how big data and analytics can have an impact in higher education, especially research utilizing predictive analytics.

This project applied analytics to individualized tutoring data in the Learning Commons to create a better understanding of why those trends happen …

The Experiences Of Black Women Pursuing Advanced Degrees In Stem, Denaja Haygood

Honors Projects

Black women are severely underrepresented in science, technology, engineering, and math (STEM) fields. While the underrepresentation of professional Black women in STEM has been well-researched, the pipeline problem of the education of Black women in STEM has been overlooked. The number of Black women pursuing STEM degrees dramatically decreases as the level of education increases. This gap in the literature is problematic, because Black women are still severely underrepresented in STEM-focused advanced degree programs. A small but growing literature indicates that Black women tend to experience frequent forms of discrimination, feelings of isolation and less satisfaction with their graduate programs, …

Fair Trade: The Successes And Failures As Seen Through The Sustainable Development Goals, P. Alison Macbeth

Honors Projects

In this paper I seek to understand fair trade as a social movement and the relationship of fair trade to the 17 Sustainable Development Goals created by the United Nations. I look at the history of the fair trade movement in the context of alternative trade organizations and the sustainability movement during the precipitous rise and stature of nongovernmental organizations (NGOs) in the 1990s. I analyze the growth and scalability of fair trade in the U.S. since 2015 through three of the 17 Sustainable Development Goals: SDG 1: Ending Poverty; SDG 5: Gender Equality; and SDG 12: Responsible Consumption and …

Keeping Earth Healthy Together, Megan Shaw

Honors Projects

This project is a book for young children to be exposed to sustainable practices. Practices range from simple daily activities to career options. There is also a parents' section in the back for additional resources. The book can be accessed at: https://flipbookpdf.net/web/site/c2637bb1d14d17cf91b7262fb3fa2bf6a7f5fbec202104.pdf.html.

Using Machine Learning For Detection Of Covid-19, Justin Rickert

Honors Projects

Currently, the most widely used diagnostic tool for COVID-19 is the RT-PCR nasal swab test recommended by the CDC. However, some studies have shown that chest CT scans have the potential to be more accurate and are also capable of detecting the virus in its earlier stages. Unfortunately, CT results are not instantaneously available as it may be days before a radiologist can review the scan. This delay is one of the factors preventing the widespread use of CT scans for COVID detection. To address the delay, this project investigated Convolutional Neural Networks, an advanced form of machine learning used …

Mathematical Modeling In Finance, Owen Sweeney

Honors Projects

Financial tools play an integral role in the day-to-day lives of individuals and businesses. Many of these tools use predefined formulas to calculate items such as loan payments, interest and capital structure components. These tools do not usually provide the flexibility needed when new parameters are introduced. By utilizing mathematical modeling, these standard formulas can be derived and even improved to provide the needed flexibility.

Making The Easy Accessibility Package, Aaron G. Trudeau

Honors Projects

The Easy Accessibility Package is a code package for Unity (a game engine bundled with game development software) that is meant to help video game developers quickly and easily make their games accessible to disabled gamers. The two main features I include in the project were remappable controls (changing which button performs which in-game action) and screen reader support (reading on screen text or game status aloud), both of which are vital to making games accessible.

The repository for the project at the time of submission can be found here: https://github.com/trudeaua21/EasyAccessibilityPackage/tree/v0.1-alpha

The up-to-date repository for the project can be found …

A Bayesian Hierarchical Mixture Model With Continuous-Time Markov Chains To Capture Bumblebee Foraging Behavior, Max Thrush Hukill

Honors Projects

The standard statistical methodology for analyzing complex case-control studies in ethology is often limited by approaches that force researchers to model distinct aspects of biological processes in a piecemeal, disjointed fashion. By developing a hierarchical Bayesian model, this work demonstrates that statistical inference in this context can be done using a single coherent framework. To do this, we construct a continuous-time Markov chain (CTMC) to model bumblebee foraging behavior. To connect the experimental design with the CTMC, we employ a mixture model controlled by a logistic regression on the two-factor design matrix. We then show how to infer these model …

Cosmological Gravitational Waves: Refining A General Rule Of Thumb For Reheating, David Zhou

Honors Projects

There are predictions for cosmological gravitational wave backgrounds from reheating based on various models. But, these predictions do not address the question of how an observed spectrum relates back to an unknown model or parameter. Given this problem, we have numerically and analytically investigated a variety of chaotic inflation models and their gravitational wave spectra. In doing so, we found a power law relation between gravitational wave peak frequency and an underlying chaotic inflation parameter. We found a two-class amplitude puzzle related to how strongly a matter producing field is coupled to the inflaton. We estimated the parameter describing how …

The Photocatalytic Degradation Of Ibuprofen And Atenolol Using Bismuth Oxychloride And Titanium Dioxide, Kamyron Anthony Speller

Honors Projects

Pharmaceuticals and personal care products (PPCPs) are contaminating natural bodies of water and are problematic for aquatic organisms and ecosystems. Generally, PPCPs are introduced to water systems due to incomplete removal by wastewater treatment plants (WWTPs). As such, it is vital to find ways to remediate these problematic contaminants before they are discharged into the environment. In this study, two photocatalysts¾titanium dioxide (TiO₂) and bismuth oxychloride (BiOCl)¾were compared to determine their relative efficiencies (degradation rates) and dominant degradation mechanism (hydroxyl radical production or direct oxidation) with the goal of photocatalytically degrading two pharmaceuticals, atenolol and ibuprofen, using UV …

Critical Phenomena In The Gravitational Collapse Of Electromagnetic Dipole And Quadrupole Waves, Maria F. Perez Mendoza

Honors Projects

We report on critical phenomena in the gravitational collapse of electromagnetic waves. Generalizing earlier results that focused on dipole electromagnetic waves, we here compare with quadrupole waves in axisymmetry. We perform numerical simulations of dipole and quadrupole wave initial data, fine-tuning both sets of data to the onset of black hole formation in order to study the critical solution and related critical phenomena. We observe that different multipole moments have different symmetries, indicating that the critical solution for electromagnetic waves cannot be unique, at least not globally. This is confirmed in our numerical simulations: while dipole data lead to a …

Accretion Onto Endoparasitic Black Holes At The Center Of Neutron Stars, Chloe B. Richards

Honors Projects

We revisit the system consisting of a neutron star that harbors a small, possibly primordial, black hole at its center, focusing on a nonspinning black hole embedded in a nonrotating neutron star. Extending earlier treatments, we provide an analytical treatment describing the rate of secular accretion of the neutron star matter onto the black hole, adopting the relativistic Bondi accretion formalism for stiff equations of state that we presented elsewhere. We use these accretion rates to sketch the evolution of the system analytically until the neutron star is completely consumed. We also perform numerical simulations in full general relativity for …

Modeling Coupled Disease-Behavior Dynamics Of Sars-Cov-2 Using Influence Networks, Juliana C. Taube

Honors Projects

SARS-CoV-2, the virus that causes COVID-19, has caused significant human morbidity and mortality since its emergence in late 2019. Not only have over three million people died, but humans have been forced to change their behavior in a variety of ways, including limiting their contacts, social distancing, and wearing masks. Early infectious disease models, like the classical SIR model by Kermack and McKendrick, do not account for differing contact structures and behavior. More recent work has demonstrated that contact structures and behavior can considerably impact disease dynamics. We construct a coupled disease-behavior dynamical model for SARS-CoV-2 by incorporating heterogeneous contact …

On The Dirichlet L-Functions And The L-Functions Of Cusp Forms, Nawapan Wattanawanichkul

Honors Projects

The main objects of our study are L-functions, which are meromorphic functions on the complex plane that analytically continue from the series of the form \sum_{n=1}^{\infty} \frac{a_n}{n^s}, where {a_n} is a sequence of complex numbers. In particular, we are interested in two families of L-functions: ''The Dirichlet L-functions" and ''the L-functions of cusp forms." The former refers to the L-functions whose a_n's are determined by Dirichlet characters, whereas cusp forms determine the latter. We begin our study with the celebrated Riemann zeta function, the simplest Dirichlet L-function, and discuss some of its well-known properties: the Euler product, analytic continuation, functional …

Solvent Effect On Excited State Proton Transfer Mechanism Of 8-Amino-2-Naphthol, Gabrielle Vandendries

Honors Projects

Photoacids, compounds that undergo excited state proton transfer (ESPT), have been utilized in different solar energy and lithographic applications.1, 2 The addition of functional groups and solvent can both change the ESPT mechanism of photoacids. In this study, the effect of solvent on the ESPT mechanism was explored using a model diprotic photoacid, 8-amino-2-naphthol (8N2OH). The photochemistry of 8N2OH in water and common nonaqueous solvents, acetonitrile, tetrahydrofuran (THF), and methanol, were studied using UV/Vis absorption, steady-state emission, and time-correlated single photon counting (TCPSC) emission spectroscopy. The results were analyzed using the Kamlet-Taft parameters. It was found that the ESPT mechanism …