Chapman University Student Scholar Symposium Fall Session Abstract Volume Wednesday, December 5, 2018 Message from the Director Greetings and welcome to the Fall 2018 Chapman University Student Scholar Symposium! The Center for Undergraduate Excellence is the first stop and the central hub for students to learn about and engage in undergraduate research and creativity activity; and to discover the wide range of prestigious external scholarships available. Chapman University Student Scholar Symposium celebrates and showcases the research and creative projects conducted by Chapman students across the entire campus. Today’s posters and student presenters reflect the diversity of academic and creative disciplines thriving within the Chapman community. Please visit the student’s posters to experience the compelling research and creative activity our students are engaged in here at Chapman. Chapman University Student Scholar Symposium is education in action, a true example that Chapman students are pursuing anything imaginable! Thanks to all the student presenters and their faculty mentors. Dr. Julye Bidmead Director of the Center for Undergraduate Excellence at Chapman University 1 Keynote Speaker – S.A. Frederick J. Simon Special Agent Frederick J. Simon has been with the Federal Bureau of Investigations for 20 years and has worked on multitudes of cases involving Domestic and International Terrorism and Espionage throughout his tenure. Simon graduated from The City University of New York, Brooklyn, with a major in pre-law in 1990. Simon started his career as a teacher with aspirations of a career in the FBI. He taught in New York for eight years before being accepted into the FBI as an Investigative Specialist in 1998. S.A. Simon grew through the ranks of the FBI relatively quickly. He went from Investigative Specialist in 1998 to Special Agent in 2001. Since being promoted to Special Agent, he has been a part of such notable teams as the Evidence Response Team, where he served as Evidence Technician, and the Special Operations Group. The Evidence Response Team would be sent to crimes as needed, where they would go to the scene and collect evidence both for local law enforcement and for federal cases. Also, a member of the Field Intelligence Group, S.A. Simon would recruit informants on current and possible future cases, to both track down the criminal or stop the crime from being committed at all. The most elite of these groups is the Special Operations Group. Members would be sent across the country and around the world to perform surveillance on high priority cases, including the Boston Bombing. Highlights of S.A. Simon’s career include investigating the Boston Bombing, educating nations from the former Soviet Bloc in evidence collection and operations techniques, Interrogator at Guantanamo Bay Naval Base, and stopping a planned bombing of the New York City subway system (the Zazi Case) before it happened. For the past three years, S.A. Simon has served as private sector coordinator in the FBI’s Los Angeles office. He works with private, non-governmental organizations to identify their weaknesses to possible attacks, and ensure they get whatever they need to help protect themselves against attack. This could include anything from security training to technology to general awareness training. S.A. Simon operates within the Office of Public and Congressional Affairs to conduct this outreach and facilitate training to ensure every member of the community stays safe and protected. 2 Acknowledgements The Center for Undergraduate Excellence gratefully acknowledge the following individuals and program for their support: - Dr. Glenn Pfeiffer, Provost - Crean College of Health & Behavioral Sciences - Donna Ford Attallah College of Educational Studies - Schmid College of Science and Technology - Wilkinson College of Arts, Humanities, and Social Sciences Schedule of Events 9:30 – 11:30 am Student Poster Session l Sandhu Conference Center 12:00 – 1:30 pm Lunch Keynote Speaker Bush Conference Center Special Agent Frederick J. Simon Beckman Hall, 404 RSVP required 2:00 – 4:00 pm Student Poster Session ll Sandhu Conference Center 3 Table of Contents Message from the Director 1 Keynote Speaker Biography 2 Acknowledgements 3 Schedule of Events 3 Student Poster Session l: Abstracts Graduate Students Biological Sciences 6 Data Analytics 6 Health and Strategic Communication 7 Pharmacy 8 Physical Therapy 8 Political Science 9 Psychology 9 Undergraduate Students Art 10 Biochemistry and Molecular Biology 10 Biological Sciences 11 Communication Studies 13 Computational Science 14 Computer Science 15 English 16 Environmental Science and Policy 18 FFC 19 Film 30 Health Sciences and Kinesiology 32 History 32 Interdisciplinary 33 Mathematics 34 Pharmacy 34 Political Science 35 Psychology 45 Public Relations and Advertising 47 Sociology 48 Strategic and Corporate Communication 48 Theatre 49 World Languages and Cultures 53 Quick Reference – Student/Poster # 55 4 Student Poster Session ll: Abstracts Graduate Students Physical Therapy 57 Psychology 57 Undergraduate Students Biochemistry and Molecular Biology 58 Biological Sciences 59 Communication Studies 63 Computational Science 65 Computer Science 66 English 68 Environmental Science and Policy 73 FFC 73 Film 79 Health Sciences and Kinesiology 80 History 81 Music 81 Philosophy 84 Political Science 85 Psychology 90 Sociology 93 Strategic and Corporate Communication 93 World Languages and Cultures 94 Quick Reference – Student/Poster # 95 5 Graduate Students Biological Sciences 1. Neurofeedback Training for Mood Improvement Presenter(s): John Gavenas, Andy Liang, Jye Bold Advisor(s): Dr. Uri Maoz, Dr. Amir Raz While medication and therapies are often effective treatments for depression, certain forms of depression are treatment resistant (e.g. Keller, 2005). Treatment alternatives are therefore desirable and are currently under exploration. Neurofeedback lets participants self-regulate their brain activity to a desired state via real-time measurements, analysis, and appropriate feedback. Some studies find electroencephalography (EEG) neurofeedback to be a viable treatment for depressive symptoms (Choi et al., 2009; Zotev et al., 2011) However, it is unclear how well features in EEG data generalize across individuals (e.g. Li et al., 2018). This brings into question the external validity of studies which rely on such features for targets of neurofeedback. We propose to investigate the efficacy of individually-tailored EEG neurofeedback which will treat each participant’s brain activity separately. During a first session, participants will be induced to happy, sad, and neutral moods while their EEG is taken. A machine-learning algorithm will then be trained to classify each individual’s EEG data in real-time. During a second session, participants will self-regulate towards a happy mood via feedback based on their EEG from the first session. Resultant changes in mood will be compared to participants in a sham control group. We expect a greater improvement in mood in the feedback group compared to control. The use of individually- tailored EEG targets and machine learning is novel, will increase the validity of our study, and will possibly improve treatment efficacy. This study may set the groundwork for a new treatment paradigm which is noninvasive, has no side effects, and is efficacious. Data Analytics 2. Relationship of In-situ Live Fuel Moisture Measurement and MODIS Data in Los Angeles County, California Presenter(s): Kristen Whitney Advisor(s): Dr. Menas Kafatos, Dr. Seung Hee Kim Southern California possesses a Mediterranean climate with semi-arid to arid characteristics and contains shrublands that are naturally at high risk to wildfire. Live Fuel Moisture (LFM) measures the percentage of moisture content within live shrubs and assesses the availability of fuel at risk to wildfire. Vegetation Indices (VIs) derived from remotely sensed satellite data have been applied to estimate LFM based on spectral response to changes in vegetation conditions. The in-situ LFM field data collected from chamise chaparral covers 3-5 acres with a temporal resolution of 2-weeks. In this study, LFM field data and remotely sensed satellite data were analyzed within Los Angeles County, California from 2001 to 2017. Five VIs were calculated using bands within the visible and infrared spectrums from MODIS collections with a 500-meter spatial resolution and an 8-day temporal resolution. These VIs, Enhanced Vegetation Index (EVI), Normalized Difference Infrared Index (NDII), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Visible Atmospherically Resistant Index (VARI), monitor the phenology of ecosystems. Linear regression was applied to calculate the coefficient of determination 6 to assess the strength of correlation between linearly interpolated LFM data and time smoothed VI data. Results show that the strength of the performance of each VI varied site to site as well as year to year, and a single VI did not consistently dominate. In addition, inter-annual variability in weather conditions impacted the dynamics of LFM and remotely sensed VIs, as well as the strength of correlation, indicating that VIs may become less sensitive to LFM dynamics under extremely dry conditions. The goal of utilizing easily accessible remote sensing data to produce LFM estimation will benefit land management and planning by reducing time and money spent on ground data collection to monitor wildfire