Physical Sciences and Mathematics Commons^™

Employee Attrition: Analyzing Factors Influencing Job Satisfaction Of Ibm Data Scientists, Graham Nash

Symposium of Student Scholars

Employee attrition is a relevant issue that every business employer must consider when gauging the effectiveness of their employees. Whether or not an employee chooses to leave their job can come from a multitude of factors. As a result, employers need to develop methods in which they can measure attrition by calculating the several qualities of their employees. Factors like their age, years with the company, which department they work in, their level of education, their job role, and even their marital status are all considered by employers to assist in predicting employee attrition. This project will be analyzing a …

Crime In Los Angeles, Cierra Hughley

Symposium of Student Scholars

This study will examine crimes committed in the city of Los Angeles dating back to the year of 2020. The reported data was pulled from the open data of Los Angeles Police Department. The purpose of this study is to show if gender is related to the three primary crimes: property crimes, violent crimes, or other crimes. Doing so will show which crimes were committed by each gender. Even though this study is on gender and crimes committed; it was a hard decision because there were many variables to choose from. However, exploring the relationship between crime and gender was …

Statistical Analysis Of The Relationship Between Protected Bird Species And National Parks, Katherine Harmon

Symposium of Student Scholars

The ecological diversity of Earth is majorly threatened by habitat loss due to the destruction by human intervention. The conservation status of all identified species are classified into nine categories of varying vulnerability as described by the International Union for Conservation of Nature’s Red List. By understanding the vulnerability of specific species, scientists can work to maintain a viable and healthy ecosystem globally by instilling rules and regulations of observed habitats for threatened species. These habitats are identified by surveying potential locations for threatened species and determining the population size at each site. An example of one of these surveys …

Alleviating Environmental Stresses In Native Arkansas Plants By Arbuscular Mycorrhizal Fungi Inoculation, Rebecca C. Morse

ATU Research Symposium

The rapid human-driven changes in the environment during the Anthropocene have placed extreme stress on many native plants and animals. Beneficial interactions with microorganisms may be crucial for ameliorating these stressors and facilitating the ecosystem services host organisms provide. The role of an important mutualistic association with arbuscular mycorrhizal fungi (AMF) in the competitive ability and successful adaptation of Arkansas native species by enhancing nutrient uptake has not been previously considered. Analysis of field root and soil samples from the native species in their native range as well as a controlled greenhouse experiment will be conducted to determine the level …

Investigating Improvements To Mesh Indexing, Anurag Bhattacharjee

Electronic Thesis and Dissertation Repository

The MEDLINE database currently comprises an extensive collection of over 35 million citations, with more than 1 million records being added each year [28]. The abundance of information available in the database presents a significant challenge in identifying and locating relevant research articles on a given search topic. This has prompted the development of various techniques and approaches aimed at improving the efficiency and effectiveness of information retrieval from the MEDLINE database. A search engine devoted to the research publications on MEDLINE is called PubMed. MeSH, or Medical Subject Headings, is a restricted vocabulary used by PubMed to categorize each …

A Comparative Study Of Specific Enthalpy Of Aromatic Hydrocarbons With Simple Carbohydrates, Kohl D. Kervin, Subha Pratihar

ATU Research Symposium

Calorimetry is an aspect of chemistry primarily focused on determining the enthalpy of reactions (∆Hrxn). In the bomb calorimetry technique, the heat of combustion of chemical compounds can be measured experimentally. From this data and the application of Hess’s Law, ∆the Hrxn of several chemical reactions can be determined. The technique of bomb calorimetry can be applied to food, fuels, pharmaceuticals, and many other fields. The objective of the present project is to determine the specific enthalpy of various simple carbohydrates (naturally occurring sugars) through bomb calorimetry and compare it with that of aromatic hydrocarbons.

By performing benzoic acid standardization …

Environmental Factors Affecting Coleoptera Biomass In The Ozark Mountain Range In Arkansas, Hayley J. Springsteen

ATU Research Symposium

Abstract:

Terrestrial invertebrates including species of Coleoptera (beetles) play an important role in many ecosystem services including soil formation and fertility, pollination, decomposition and nutrient turnover, population regulation of other organisms through predation. Coleoptera are often vital in determining biodiversity and conservation techniques. The purpose of this study is to contribute to the knowledge of how environmental factors and different management practices are affecting Coleoptera populations and further assist ecologists in improving management techniques in the future. The insect data in this study was collected over the course of two weeks in the Arkansas portion of the Boston Mountain range. …

An Investigation Into The Physical Properties Governing The​ Coupled Harmonic Oscillator​, Ethan Taylor, Jj Rivera

ATU Research Symposium

The coupled harmonic oscillator is an extremely important model in physics - especially in the field of solid state physics where the forces that tie atoms to their equilibrium positions are much stronger than their inter-atomic coupling forces. Given a coupled spring-mass system, we want to theoretically determine and then experimentally verify the normal frequencies involved in coupled harmonic oscillation. To do so, a coupled spring-mass system was built using an air track, carts, and PASCO motion detectors, the normal frequencies were theoretically calculated, and then we experimentally verified these normal frequencies with 4 trials: Symmetric, Antisymmetric, and two Mixed …

Chemical And Biological Investigation Of Sambucus Canadensis And Salvia Officinalis, Elizabeth Martin, Harley Hines, Amber Parnell

ATU Research Symposium

New treatments for cancer and bacterial infections are needed, especially because most patients acquire resistance to conventional first-line treatments. Many natural product metabolites exhibit potent activity. Sambucus sp.,elderberry, and Salvia sp., or sage, are well-known shrubs for their therapeutic benefits. This study aims to analyze how secondary metabolites are extracted from the Native American Elderberry, Sambucus canadensis, and Sage, Salvia officinalis. It also aims to investigate the process of vinegar baking of medicinal plants to enhance the chemical space and increase the biological properties. Vinegar-baked and non-vinegar-baked elderberries and sage were utilized to test this theory. A Soxhlet …

Bis(Difluoroborylamidinates) With Flexible Ethylene Bridges As Bifunctional Aggregation-Induced Emitters, Connor Welch

Symposium of Student Scholars

4,4-Difluoro-4-bora-3a,4a-diaza-s-indacenes (BODIPYs) represent one of the most prominent classes of dyes, since they are ubiquitously used in protein and DNA labelling, photodynamic therapies, as luminescent tags, sensors, laser dyes, paint and ink compositions, as well as for electroluminescent devices. [1] This is because of their robustness in terms of photochemical stability, polarity and pH changes of their environment, in particular under physiological conditions. The versatility to introduce multiple functional substituents and ability of BODIPYs to strongly absorb UV-light while providing sharp fluorescence peaks, combined with high quantum yields make these dyes highly attractive for numerous applications. Closely related azaBODIPYs offer …

Estimating Blue Carbon Stocks In Native And Non-Native Seagrass Beds Of Jobos Bay, Pr, Michael Chapman, Raven Winant, Kayla Gonzalez-Boy, Mark Mccarthy, Ángel Dieppa-Ayala

Symposium of Student Scholars

Seagrasses are keystone species that support coastal biodiversity, but not all species of seagrasses provide the same ecosystem services. Although seagrasses occupy a small area of marine habitat, they provide many ecosystem services. They stabilize sediments, remove nutrients, provide habitat and food for diverse marine life, and promote carbon storage in sediments. Jobos Bay is the second largest estuary in Puerto Rico and contains salt marshes, mangroves, and seagrass beds. The native seagrass, Thalassia testudinum, is the most abundant seagrass in the bay; however, a seagrass species from the Indian Ocean, Halophila stipulacea, began invading in recent years. The impacts …

Process Of Building And Designing A Spectrometer, Tori Freeman

ATU Research Symposium

Spectroscopy is the study and measurement of electromagnetic spectra resulting from electromagnetic radiation interacting with matter. Each element when excited emits a unique spectrum containing light of various wavelengths. The identity of the element can then be determined by examining the spectra. A spectrometer is a scientific instrument that utilizes optics, mirrors, and lenses to capture and examine spectra. A classroom spectrometer is potentially useful in the demonstration of numerous physics principles such as diffraction, reflection, ray optics, etc.

Keywords: Spectrometry, optics, spectrum

Analysis Of The Discrete Cosine Transform Coefficients, Dillon C. Mckinley

ATU Research Symposium

No abstract provided.

Methods For Increasing The Electron Richness Of Iron Tricarbonyl Diimine Complexes, Francesca Lombardi, Joseph Maher, Sean Peloquin

Chemistry & Biochemistry Student Scholarship

Francesca Lombardi ’24, Major: Chemistry

Joseph Maher ’25, Major: Chemistry

Sean Peloquin ’26, Major: Biochemistry

Faculty Mentor: Dr. Maria Carroll, Chemistry and Biochemistry

The goal of our research is to synthesize new iron complexes that can reduce carbon dioxide. Increasing the electron richness of iron tricarbonyl diimine complexes, which have been synthesized previously in the Carroll research group, will increase the likelihood of a reaction with carbon dioxide occurring. We have taken two approaches to changing the electron density in the complexes. First, we reacted the complex Fe((CF3)2ArDABMe)(CO)¬3 with the reducing agent potassium on graphite, in order to reduce either …

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 …

Revised Draft Final West Side Soils Operable Unit Remedial Investigation Sampling Data Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

ABSTRACT

This West Side Soils Remedial Investigation (RI) Data Collection Data Summary Report (DSR) presents the results of the surface soil sampling conducted from October 23, 2019, through November 15, 2019, and from May 12, 2020, through June 9, 2020, and the subsurface soil sampling event conducted from June 18, 2020, through July 9, 2020, at the West Side Soil Operable Unit (WSSOU) Site. Additional subsurface samples were prepared from February 16, 2021, through March 2, 2021, from archived portions of cores from the previous subsurface sampling event. Additional surface data, as requested by U.S. Environmental Protection Agency (EPA), was …

Toward The Design, Synthesis, And Characterization Of Abiotic Coiled-Coil Peptides Via Solid-Phase Copper-Catalyzed Azide-Alkyne Cycloaddition (Sp-Cuaac) Click Reaction For The Preparation Of Controlled Self-Assembly Molecular Building Block, Liaquat Ali

Chemistry Theses

The production of cutting-edge materials, the development of novel medications, drug delivery systems, technological advancements, and biosynthesizing all depend on molecular building blocks. Proteins are required for the creation of intricate, well-organized structures, and coiled-coil protein domains are vital subunits for the oligomerization of protein complexes, gene expression, and the structural components of biological materials. The numerous interactions between a wide variety of amino acids make it difficult to assemble protein complexes with a particular shape. In the current study, we successfully designed and synthesized four different 32-residue peptides, each of which had two modified amino azide residues. These peptides …

Surface Characterization Of Mixed-Mode Adsorbents Using Bet C-Constant Energy Scale, Dinah C. Lee

Seton Hall University Dissertations and Theses (ETDs)

Mixed-mode chromatography is a chromatographic method in which solutes interact with stationary phase through more than one interaction mode or mechanism. It is because of these multiple complex interactions, which makes it difficult to predict chromatographic behavior of analytes on Mixed-mode columns. In order to fully understand the retention mechanisms on Mixed-mode columns, the packing material properties must be well characterized since each characteristic may contribute to the overall chromatographic performance of the column. Many non-chromatographic and chromatographic techniques are available to characterize and compare Mixed-mode columns in terms of their interaction abilities, retentivity, surface chemistry, chemical properties and geometry. …

Actualistic Testing Of The Influence Of Groundwater Chemistry On Degradation Of Collagen I In Bone, Paul V. Ullmann, Kristyn K. Voegele, Kenneth Lacovara

School of Earth & Environment Departmental Research

Recent experiments have heightened our understanding of reactions which can stabilize biomolecules during early diagenesis, yet little remains known about how groundwater chemistry can aid or hinder molecular preservation within a bone through geologic time. To elucidate this issue, we conducted actualistic experiments of bone decay employing varied fluid compositions to simulate a suite of groundwaters. Modern domestic chicken (Gallus gallus) femora were placed in a matrix of compositionally- and texturally-mature, fluvially-deposited sand. To simulate groundwater flow, deionized water or solutions enriched in calcium carbonate, phosphate, or iron were percolated through separate trials for a period of 90 days. After …

The Magnetic Field Of Protostar-Disk-Outflow Systems, Mahmoud Sharkawi

Electronic Thesis and Dissertation Repository

Recent observations of protostellar cores reveal complex magnetic field configurations that are distorted in the innermost disk region. Unlike the prestellar phase, where the magnetic field geometry is simpler with an hourglass configuration, magnetic fields in the protostellar phase are sculpted by the formation of outflows and rapid rotation. This gives rise to a significant azimuthal (or toroidal) component that has not yet been analytically modelled in the literature. Moreover, the onset of outflows, which act as angular momentum transport mechanisms, have received considerable attention in the past few decades. Two mechanisms: 1) the driving by the gradient of a …

Data-Driven Predictive Maintenance: Hvac Health Prognostics Using Power Consumption And Weather Data, Ruiqi Tian

Electronic Thesis and Dissertation Repository

Data-driven predictive maintenance for heat, ventilation, and air conditioning (HVAC) systems has gained much popularity over recent years due to the increasing availability of integrated internet of things (IoT) sensors capable of reporting HVAC internal operational data. Most existing predictive maintenance methods are designed to analyse these internal operational data for maintenance decision making. However, these methods are not applicable to HVAC systems that are not equipped with internal IoT sensors. Consequently, we propose an AutoEncoder and Artificial Neural Network based HVAC Health Prognostics framework (AE-ANN-HP) that classifies the health condition of HVAC systems using only daily power consumption and …

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

Journal of Stochastic Analysis

No abstract provided.

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.

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 …

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 …

Using A Distributive Approach To Model Insurance Loss, Kayla Kippes

Student Research Submissions

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, …

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 …

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 …

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 …

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 …