Stander Symposium Projects

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  Group Trajectory Analysis in Sport Videos

  Shreenivasan Duraivelan

  Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various agents such as cars, buses, pedestrians. In Trajectory, Prediction we use the moment of an agent’s past trajectories to predict action or course the agent is going to make in the future. In our paper, we are using trajectory prediction to predict the future location and the movement of the players and ball in a basketball game. There are several Pedestrian trajectory prediction modules which have yielded great results. But applying the same to a basketball game will not yield great results since the pedestrian trajectory modules are generalized for the huge population. We propose a model which will learn the play style and the players position/roll, which will lead to better predictions in a game. We use Transformer network to implement the trajectory prediction algorithm along with a player behavior module which will increase the accuracy of the prediction.

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  Hannah Gatlin-Artist Talk

  Hannah Ruth Gatlin

  I am a senior fine arts student, and I will be talking about the body of work that I completed. I will go in-depth on my inspirations for my work and the meanings behind it.

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  Here comes the sun: The effect of a solar panel prairie on a dragonfly and damselfly community

  Emily L. Ott

  The order Odonata that includes dragonflies and damselfies are a widespread and important insect group as predators, particularly in riparian areas. Their polarotactic capabilities provide them with an attraction to polarized light that is emitted from water which allows them to navigate their way to a water source to lay their eggs. These tendencies could also make them fall prey to an ecological trap: solar panels emit the same polarized light, potentially fooling the Odonates into laying their eggs on the panels instead of in water. The University of Dayton installed a solar array in 2018, and put a prairie underneath of this solar array to attract native insects. During the Summer and Fall months of July through October, I surveyed Odonate abundance and behavior in a prairie both underneath and outside of a solar panel array to determine if these species were using the prairie and determine if the solar panels were causing an ecological trap for this species. Odonates were most abundant in the prairie outside of the solar array, with almost no individuals seen perching underneath of the solar panels. Also, I observed no egg laying behavior on the panels. The lack of this ecological trap could be due to the inclusion of white grids on the solar panels that breaks up the polarized light and lessens the degree of attraction Odonates experience. The research shows that these native insects do use this constructed prairie, but avoid the shaded area underneath the solar array. This work has implications for how these solar arrays are installed and maintained: based on this research, I recommend using solar panels with these white grids to avoid ecological traps for polarotactic insect species.

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  Her Name is Blood: Situating Gertrude Blood Within the Flânuese, and Walking Virtually

  Lexi Ryan Marie Gallion

  Women are oftentimes forgotten in history due to the pursuit of their male colleagues. Much is the case for Lady Colin Campbell, née Gertrude Elizabeth Blood (b. 3 May 1857), as she was left behind in history. However, unlike other similar stories, Blood was subject to the thoughts and opinions of a nation when she and her husband went through the longest and nastiest - dismissed - divorce trial in UK history. After the trial, she engaged in journalistic writing, submitting over a period of time to the periodical "The World" which would eventually turn into her essays "A Woman’s Walks". Despite her popularity at the time Blood and her writing faded out of the public sphere. What this project intends to accomplish is to reintroduce Gertrude Elizabeth Blood back into society not for her scandal, but for how her work can be considered part of the Flâneur genre. As a woman born to a family capable of social climbing and then eventually a shunned member of the upper class, Blood’s work can shed unique light on the machinations of the Flâneur and the effects of class and gender. This proposed project will perform an analysis to (a) engage in understanding of the flâneur, working the flânuese into the definition of the flânuer using Blood’s writing and (b) a reintroduction of Blood as a woman worthy of analysis, and appreciation for her work as a woman who went against the grain of society.

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  Home Court Advantage In The NBA

  Zachary Andrew Lentz

  This project will use a logistic regression analysis to determine the effect of home court on the probability of winning an NBA game. The data collected is on all thirty NBA teams from the 2018-19 regular season, since this was the last normal season before Covid-19 happened. Each data point analyzed is a particular game with multiple variables for that game. The dependent variable is win, which is a binomial variable, 0 if that game is a loss and 1 if it is a win. The independent variable home is a binomial variable, 0 if the team was a away and 1 if the team was home for the game. The other independent variables are continuous: number of All-Stars for the 2018-19 season that were on the team, number of All-Stars for the 2017-18 season that were on the team, number of wins the team had in the 2017-18 season, and a variable representing head coaching experience. The head coaching experience variable is the number of wins the head coach had divided by the number of years of head coaching experience entering the 2018-19 season. Logistic regression is used to evaluate the impact of the independent variables on the probability of winning the game. The ultimate goal is to determine if there is an advantage to have the home court and crowd in an NBA regular season game.

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  How Schools Can Help Students Who Experience Systemic Oppression be Successful in Achieving Their Dreams

  Mary E. Horvath

  Research shows that many students who experience poverty and systemic oppression also experience an opportunity gap in schools. Families are stuck in a cycle in which they do not obtain as many educational opportunities in school, therefore do not receive as many job opportunities, and then their children go through the same thing. Every child has big dreams so how can schools help those who are stuck in this cycle achieve them? One important factor is the teachers. Teachers who bear high expectations, obtain a close connection with their students, and have cultural knowledge can all greatly impact the students’ outcomes. Other significant factors include access to high-level courses, extracurriculars, integrated classrooms, and stability.

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  Human Behavioral Analysis: Intruder Detection in Videos

  Manish Pavan Beesetti

  This research aims to develop an intruder detection system based on human behavior via front door surveillance. This is similar to the classic action recognition and scene recognition problems which are currently hot topics in the field of computer vision. To this end, we have collected YouTube videos and then annotate them as anomaly or normal labels. We then train a C3D model by considering a sequence of frames as an input. The experimental results demonstrate the effectiveness of our system.

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  Identification of ortholog and paralog-specific amino acid evolution between the Drosophila sperm specific b2 tubulin, its major tubulin paralog beta-1 and its ortholog Glossina moristans beta-2 tubulin using molecular evolutionary genetics analysis (MEGA-X)

  Kollin J. Clark

  The Drosophila spermtail tubulin b2 is a highly conserved protein. Structure/function tests find that even small changes render b2 unable to generate motile sperm. A bioinformatic approach was used to identify evolving b2 amino acids as indicators of relaxed sites, by comparing b2 to closely related homologs. After aligning Dmb1 & Dmb2 and Gbm2 & Dmb2 sequences, the analysis found 13 positions that differed in amino acid polarity, charge, or acidity characteristics that would alter its interactions within the spermtail. There are seven sites between Dmb1 and Dmb2 paralogs that have different amino acids that also have different characteristics, and nineteen sites where Dmb1 and Dmb2 have different amino acids but similar characteristics. In ortholog comparisons, there are six sites where Gmb2 had different characteristics when compared to Dmb2 and twelve sites with different amino acids that have similar characteristics. There is some segregation between the b2 paralog and ortholog in terms of which sites are evolving, 2/6 (33%) of Gb2 characteristic change sites had overlap with Dmb1 and 2/7 (28.57%) of Dmb1 characteristic change sites had overlap with Gb2. This indicates the different functions of b1 and b2 have different amino acid requirements that impact which amino acids are capable of evolving.

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  Implicit and Explicit Racial Bias: Perceptions of Racism in America

  Miranda Lynn Brooks

  This study investigated awareness of harbored implicit and explicit racial biases against the backdrop of perceived racism in America. The aim was to highlight how specific group membership and the level of willingness to self-censor affected respondents’ disclosures and perceptions of themselves and current civil movements, like Black Lives Matter. Unavoidable exposure of systemic racism and oppression in America caused the timeliness of the study, which took place in the summer of 2020.

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  Indium

  Bradley Russell Gottemoeller, Colleen Elizabeth Jutte, Samuel Edward Reardon, Colin Douglas Wuebker

  Improve Processes to optimize business workflows

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  Influence of Prairie Restoration on Hemiptera Composition

  Claire Townsend Brewer, Stephanie Kay Gunter

  Ohio has historically hosted a patchwork of tallgrass prairies, which provide habitat for native species and prevent erosion. As these vulnerable habitats have declined in the last 200 years due to increased human land use, restoration efforts have increased, and it is important to evaluate their success. The Hemiptera (true bugs) are an abundant and varied order of insects including leafhoppers, aphids, cicadas, stink bugs, and more. They play important roles in grassland ecosystems, feeding on plant sap and providing prey to predators. Previous research has found that Hemiptera respond in their abundance and composition to grassland restorations, age of restoration, and size and isolation of habitat. This study investigates the effects of these variables on the abundance and composition of Hemiptera within 13 Ohio prairies in order to answer 4 questions regarding prairie restoration: 1- Do older constructed prairies resemble remnant prairies in Hemiptera abundance, diversity, and composition more than they resemble newer constructed prairies? 2- Does the size of a prairie fragment affect the abundance, diversity, and composition of Hemiptera? 3- Does the distance of a prairie to an agricultural field affect the abundance, diversity, and composition of Hemiptera? 4- Are there particular morphospecies that indicate particular prairie types? Insect samples were taken via sweep net from 13 prairies (7 restored and 6 remnant) in 4 southwestern Ohio counties in summer 2019, and were sorted to order. I then sorted the Hemiptera to family and morphospecies. I will use analysis of variance, correlations, linear regression, and NMDS to determine the effect of prairie type (remnant, old constructed, new constructed), fragment size, and distance to agriculture on Hemiptera abundance, diversity, and composition. I will also perform an Indicator Species analysis to determine if any morphospecies indicate any particular prairie type.

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  Innovative Consulting & Mediation

  Mason D. Kleinhenz, Ryan D. Lederle, Charles A. Schoen

  Private Mediation Consultant...Develop Online Systems

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  Inspirational Women Stories in STEM

  Alekhya Dontham, Lauren Drankoff, Noel Mathew Lnu, Melissa K. McCabe, Claudia Swinson

  This session will involve a set of posters focused on inspirational women in STEM. The presentation will be about a combination of women that inspired us in different fields of STEM by breaking all stereotypes and gender barriers. The five women we are going to present about will be:

  • Kalpana Chawla
  • Rosalind Franklin
  • Mae Jemison
  • Cynthia Breazeal
  • Hedy Lamarr

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  Investigating the Effects of a p53 Mutation on Glioma Progression and Therapy Resistance in Drosophila

  Kaitlyn M. Alleman

  Gliomas, which are brain tumors that arise from glial cells, are some of the most aggressive and lethal types of tumors. These brain tumors are difficult to treat because not enough information regarding the mutations present in these tumors exists. This project studies effects of a p53 mutation on Drosophila glioma progression and then will test to see if this results in resistance to current chemotherapy. Drosophila are used as model organisms to mimic these processes. The current genetic crosses that have been created will be studied, and an effective p53 knockdown will be made. In essence, this will effectively mimic a human brain tumor so the treatments tested and the data collected from this model can be applied to the current understanding of human gliomas. In addition to studying just the p53 mutation, PI3K and oncogenic Ras signaling will be coactivated. This will lead to an even more accurate glioma model because multiple mutations, such as the ones added are present in human tumors as well. These genetic crosses will be treated with Tyrosine Kinase Inhibitors, which are currently used to treat brain cancer patients in order to find out whether or not this mutation plays a role in resistance to current therapy. The main goal of this endeavor is to investigate the numerous defects occurring at the cellular and biochemical level in gliomas, which will give insight into why these types of tumors are so difficult to treat. Data gathered from this project will lead to further inquiry into the role of p53 mutations in gliomas and hopefully, to better outcomes for those affected by this type of cancer. Here, we present the data gathered from this project thus far.

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  Is it the ‘Most Magical Place on Earth’ for Interns? A Cost-Benefit Analysis of the Disney College Program and its Emotional Labor

  Jacqueline R. Russo

  Any internship for college students demands work and it may appear straightforward to gauge this in terms of energy, time, and the value of the costs associated with the job. How do we understand the full cost, whether physical and emotional, of certain internships, especially at a renowned location such as Walt Disney World? The Disney College Program (DCP) is a semester-long internship for college students and expects its interns to be “on stage” and perform tasks for the entertainment value of guests. To understand the physical and emotional impacts of the DCP, this study utilizes a cost-benefit analysis and applies the concepts of emotional labor, emotional management, and emotional regulation to this internship experience. Specifically, this research asks, “What kinds of emotional labor and regulation do DCP interns give to their job and do they interpret this experience to be worth the costs?” Through snowball sampling, participants were accessed via Facebook groups and includes those who participated in the DCP at Walt Disney World Resort from the years 2012-2019. Exploring the intersections of costs, benefits, and emotional labor, the results of this research show that there are many demands and pressures DCP interns experience. With many lifestyle, personal, academic, and career-oriented adjustments to make to participate in the DCP, interns often experienced stress, emotional dissonance, burnout, alienation, and little room for emotional flexibility. Interns can also gain customer service skills, develop relationships, and a sense of accomplishment from their involvement in the DCP. From these findings, it can be concluded that interns often utilize deep acting in order to reduce the cost of emotional labor applied to tasks, remaining “on stage” during work hours, and managing personal emotions.

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  Is Mental Health Declining? University of Dayton Students in a Pandemic

  Coleen Marie Coffey

  This research asks how the COVID-19 pandemic has affected the mental health of college students at the University of Dayton. Mental health on college campuses can be strenuous as students deal with the anxieties of living independently, classwork, as well as finding their career path. With a combination of these existing stressors and now a pandemic, students at the University of Dayton endure social isolation and a lack of in-person classes. The purpose of this study is to identify the reasons, if any, that have caused a decline in students’ mental health. The study was conducted through an online survey which was sent out via email and messages to students and professors who were asked to forward it to their students. Utilizing the organizations and clubs that I am in I received fifty-eight responses. The survey included Likert scale and open ended questions. Major findings were that many students feel as though their mental health has been ignored when it comes to their schoolwork, and they feel that their mental health has gotten worse since the pandemic. Numerous students explain that they do their best to be around their friends and other people as well as focusing on physical exercise to help with their mental health. Despite a smaller response from first-year students, the study was able to determine that 68% of students are moderately concerned about caring for their mental health. I conclude that there needs to be an increase of access and availability for mental health support from the university so that students can seek the help that they need.

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  Isolating Antibiotic Producing Pseudomonas From Soil

  Caroline Rose Wattles

  The Tiny Earth Network works to address the decreasing amount of effective antibiotics by testing soil bacteria for antibiotic production. Antibiotics are used in medicine to treat bacterial infections by killing or slowing the growth of bacteria. A threat to the common treatment is antibiotic resistance which has resulted in a health crisis. To combat this, new antibiotics need to be discovered and through the Tiny Earth Initiative bacteria from soil samples are being used as a source. The isolated soil bacteria was tested for antibiotic production against clinical pathogens such as E. coli and S. epidermidis. Laboratory methods such as gram staining, biochemical testing, and 16s rRNA gene sequencing were used to identify the isolated soil bacteria. An organic extract was also prepared from the isolate using ethyl acetate for extraction and methanol as a solvent to confirm the antimicrobial activity and to check for potential toxicity. The methanol solution of the extract was plated onto a water agar plate. Chia seeds were sprinkled onto the plate and left to grow. Chia seed growth indicated the antibiotic extract was not toxic to Eukaryotic organisms while no growth indicated toxicity. Discovery of antibiotic producing bacteria will help the ongoing battle against antibiotic resistance and its effect on bacterial infection treatment options.

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  Isolation and Characterization of Soil Bacteria Having Antibacterial Activity

  Brenna Marie Reilly

  Antibiotic resistance in bacteria against a single or multiple drugs is a burning issue worldwide. According to the 2019 Antibiotic/Antimicrobial Resistance (AR) threats report of the Centers for Disease Control and Prevention (CDC), more than 2.8 million antibiotic-resistance infections occur in the U.S. each year, and more than 35,000 people die as a result. Therefore, the current study was carried out to isolate and characterize soil bacteria having a new compound with antibacterial activity. Soil samples were collected from GPS coordinates of 39.73594418442152, -81.17545763942566 at a depth of 7.62cm. The weather was 16 Fahrenheit, even though the soil was hard, the deeper I dug the soil became moist and soil was collected and placed in a sterile test tube. The appearance of the soil was a dark brown. Individual bacteria from soil were separated and isolated using serial dilution techniques. Bacterial media such as Reasoners 2A Agar and Todd Hewitt were used for bacterial isolation. Six different bacterial isolates based on colony morphology, were screened for antibacterial efficacy against close relative bacteria to ESKAPE pathogens, such as B. subtilis and E. coli. Out of six, one bacterial isolate showed antibacterial activity against B. subtilis. Bacteria which showed the antibacterial activity against B. subtilis was characterized as gram-negative bacillus. Biochemical testing showed that bacteria was motile (by Sulfide Indole Motility), gelatinase positive (by gelatin Agar), non-lactose, sucrose and glucose fermenter (by triple Sugar Iron Agar) and citrate positive (examined by Simmons Citrate Agar). 16S ribosomal gene sequencing result is awaited. Organic extract of this bacteria furthered the antibacterial activity against B. subtilis on Todd Hewitt agar, while awaiting a test for toxicity to chia seeds. In future, organic extract from this bacteria will be characterized for structure of this active compound.

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  JJR Solutions

  Michael William Krug, Danielle B. Lewis, Kate Elizabeth Nawrocki, Adam P. Roe

  JJRS Pulse-Microsoft SharePoint/MS Project Integration

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  Joint kinematics and work adjustments in adults when learning the kettlebell swing without coaching

  Cian J. Callahan

  The Kettlebell swing is a complex, full-body exercise and can be difficult to perform correctly without coaching. This study aimed to assess the ankle, knee, and hip kinematic and kinetic adjustments with short-term practice, as evaluated by joint angles and joint work, in young adults when practicing the kettlebell swing without individualized external feedback. This evaluation would assist the development of effective and safe video instruction tools.Our experiment was conducted by having twelve young adults (7F/5M, 22.62 (2.04) years), with no prior practice of the exercise, perform three sets of 20 repetitions of the kettlebell swing. Their only instruction was from a freely available online video of a skilled individual performing the kettlebell swing and providing verbal instructions. Subjects then performed three sets of 20 repetitions each day for the following three days. On the fifth day, they were retested. Joint flexion and extension data was collected using a motion capture system by placing markers on the hips, thighs, knees, calves, and feet. The force acting on the body was assessed using a force plate.The results showed young adults made minimal adjustments of the ankle, knee, and hips joints from no practice to short term practice. At the start position, the knee and hip joints were less flexed during the short-term session compared to the no practice session. Furthermore, total lower body work and hip joint work decreased between sessions. Our results highlight the general tendencies of young adults to reduce lower body flexion and work less when learning the kettlebell swing through self-directed methods. These findings provide guidance to improve the potential effectiveness of instructional videos by highlighting the need for coaching cues focused on further flexing the hip joint at the start position and thrusting the hips forward throughout the upward swing.

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  Kill Probability in Volleyball

  Maura C. Collins

  This project aims to predict the probability of a kill on left-side and right-side attacks in volleyball. Specifically, it looks at the type of attack, which accounts for it being either a left-side vs a right-side attack and whether it was a fast tempo or a slower tempo set, the grade of the pass for this play, and whether this attack was on a first-ball play or in the transition of a rally. A logistic regression model was used to To look at the relationship of these variables. Using the p-value, it was found that attack type and whether it was a first-ball or transition play were the significant variables for this model.

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  KPMG

  Carmen J. DiGeronimo, Brandon D. Easterling, John P. Mccarthy, XiuLin Wu

  KPMG Cyber Response Incident Response Range-Cloud Implementation

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  LandNET: A Multi-Modal Fusion Network for Classification

  Jonathan Paul Schierl

  There is a need for classifying land coverage by usage. As these classes are somewhat abstract, this provides a challenge in classifying them and a need for as much information as possible. We propose an architecture capable of classify such scenes, using 2D aerial imagery and 3D point clouds. This is done by fusing the learned feature space of each modality, to be classified with fully connected layers. This method provides a high degree of accuracy for each modality and then learns the benefits of data type, for more accurate classification.

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  LatinX Leads Conference: What We Learned

  Juan L. Lopez, Sam Ortiz, Isaac Andrew Perez, Noelia Perez, Camila Isabel Sanchez-Gonzalez

  Four Latinx student leaders will share on topics and themes presented at the Latinx Leads conference. Those themes include empowering Latinx students, combatting anti-blackness, building unity within the Latinx community and navigating a Predominantly White campus as a Latinx student. This presentation is their opportunity to give back to their community and help build up others who are interested in supporting Latinx students.

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  Leonardo de Pisa and Interesting Results of the Fibonacci numbers

  Megan Elizabeth Schaner

  Leonardo de Pisa, better known as Fibonacci, is an Italian mathematician who is responsible for numerous mathematical notions and ideas. The most notable are the use of the Hindu-Arabic numerals in modern society and the famous Fibonacci sequence. These ideas were published in his two books Liber Abaci and Liber Quadratorum published in the early 13th century. The Fibonacci numbers are a set of numbers that make up a recursive sequence where a term is constructed by the sum of the two terms that immediately precede it. There are numerous identities and interesting facts revolving around the Fibonacci numbers such as the approximation of the famous Golden ratio, the sum of the even and odd indices of the Fibonacci numbers, and how consecutive Fibonacci numbers are relatively prime. This presentation will focus on how the fact that the greatest common divisor of two Fibonacci numbers is also a Fibonacci number helps to establish that a Fibonacci number divides another Fibonacci number if and only if the corresponding index of the divisor divides the corresponding index of the dividend.