Abstracts Catalog
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th 58 National Junior Sciences and Humanities Symposium: Abstracts Catalog The abstracts in this publication are from original scientific research conducted by participating students in the 58th National Junior Science and Humanities Symposium. JSHS is a collaborative effort between the research arm of the Department of Defense Tri-Services - U.S. Army, Navy, and Air Force and nationwide academic research institutes. Hosted via Zoom April 15-18, 2020 Administered by: National Science Teaching Association National Junior Science and Humanities Symposium Program Objectives Promote research and experimentation in sciences, technology, engineering, and mathematics (STEM) at the high school level. Recognize the significance of research in human affairs and the importance of humane and ethical principles in the application of research results. Identify talented youth and their teachers, recognize their accomplishments at symposia, and encourage their continued interest and participation in STEM. Expand the horizons of research-oriented students by exposing them to opportunities in STEM within the Department of Defense, academia, industry, and government. Increase the number of adults capable of conducting research and development. NJSHS 2020 Oral Presenters Environmental Science Vaughn Hughes Rincon Jagarlamudi Smrithi Balasubramanian Sarah Katz Krisangi Bhargava Alice Khomski Ella Dommert (3) James Lao Jadyn Henry John Lin Julia Kagiliery (1) Amara Orth Mithra Karamchedu Anya Razmi Emma Kitchin Caroline Reed (2) Lucas Ritzdorf Anushka Sanyal Hannah Rogers Emily Tianshi (3) Emma Romano Safiya Sankari Medicine & Health/Behavioral Sciences Elise Scheuring (2) Adyant Shankar Rachel Brooks Lea Wang Sarah Burkey (1) Kasyap Chakravadhanula Biomedical Sciences Daniel Choi Emmalyn Kartchner Sarah Barksdale Isabella Knott Evelyn Bodoni (1) Shan Lateef (2) Ishaan Brar (2) Rhea Malhotra Kevin Fan Irene Mamontov Victoria Hwang Michaela McCormack Kaeo Kekumano Viraj Mehta Aditi Kumari Saraswati Sridhar Anne Liang (3) Grace Sun (3) Ilhaam Mahoui Dasia Taylor Arundathi Nair Paulina Naydenkov Engineering & Technology Sahasra Pokkunuri Logan Ridenbaugh Yuvanshu Agarwal Eden Winga Reese Artero Keena Yin Joseph Clary Bryce Goodin Life Science Kelsey Krusen Catherine Kung Ahmad Abdel-Azim Luke Millam Audrey Anderson (1) Eliza Moore Sydney Assalita Axel S. Toro Vega (2) Vetri Vel (3) Physical Sciences Ryan Westcott (1) Jared Lenn Mathematics & Computer Science Josie Long Mina Mandic (1) Sam Florin Aniket Pant Melody Guo Alay Shah (2) Anu Iyer Owen Skriloff (3) Kabir Jolly Tarun Kumar Martheswaran (2) Chemistry Rachel Muppidi Ryan Park (1) Anna Grondolsky (3) Lillian Petersen Reagan Guerra (2) Jason Ping Emma Steude (1) Jacqueline Prawira Uyen Nhi Tran Michelle Tang (3) Ethan Weisberg NJSHS 2020 Oral Presenter Abstracts Using Single-Cell RNA Sequencing Data to Study Plastid Differentiation Dynamics with Nucleus-Encoded Plastid Gene Expression in Arabidopsis thaliana Ahmad Abdel-Azim Appleton North High School Appleton, Wisconsin Research Mentor: Tessa Green Department of Systems Biology Harvard Medical School Little is known on how cell differentiation dynamics are impacted by other biological systems, such as organelle development. The plant provides an interesting context to study this impact given its diverse array of cell and plastid types. Plastids are organelles that are unique to plant cells, synthesizing and storing critical chemical compounds and pigments. All plastids develop from undifferentiated proplastids in meristematic tissue; however, it is unknown how plastid development progresses relative to cell development, namely the extent to which plastid state is coupled with cell state. This coupling was explored via single cell RNA sequencing of the root of Arabidopsis thaliana. Cells and plastids were clustered based on distinct nucleus-encoded plastid genes and non- plastid-related genes, respectively, enabling independent assignment of plastid and cell types. A machine learning model was developed to classify cell types based solely on plastid gene expression profiles. The high accuracy of this model (>96%) suggests that each cell type houses a distinctive plastid type. A trajectory inference model was used to create a pseudotime axis between undifferentiated meristematic cells and mature endodermal cells, enabling the study of plastid development relative to cell development. Along this pseudotime axis, plastid state was found to be coupled with cell state. Our findings lead to advances in plastid engineering and may enable future biotechnological applications. Moreover, we offer a novel computational pipeline to actually study cell organelles at the single-cell level which opens the door for a wide variety of applications beyond plants. Virtual Assistant application to optimize the usage of water and crop yield. Yuvansu Agarwal Morris Hills High School - Academy of Math, Science and Engineering Rockaway, New Jersey Currently, agriculture wastes 1,500 trillion liters of water annually and to sustain a growing population, we must grow 70% more food by 2050. My voice technology based virtual assistant application predicts crops’ water requirements and growth stage in languages like Hindi, French, Spanish, and English to optimize water and crop yield. The application extracts the required inputs using natural language processing. Based on the inputs it collects for different crops, the Python code mines for the PET (Potential Evapotranspiration) and the PPET (ratio of Precipitation to PET) from external APIs. The application utilizes an algorithm to compute the water requirements where if the weather forecast predicts no rain and PPET<1, then the water requirements (mm) i s computed as PET-Precipitation. Similarly, the application determines the crops’ growth stage by mining for each crops’ accumulated GDD (Growing Degree Days) and mapping it to particular thresholds of growth stages. The results of the application were within an average error margin of 5-7% as compared to crop research. By relaying accurate water requirements and growth stages to small farmers around the world in multiple languages, the application can help farmers grow healthy crops and drive insightful irrigation decisions. Resilin Distribution and Abundance in Apis mellifera Wing Joints across Biological Age Classes Audrey Anderson (1st Place Life Sciences) Omaha North High Magnet School Omaha, Nebraska Research Mentor: Dr. Fassbinder-Orth This study investigated the variance of resilin between Apis mellifera biological age classes. The presence of resilin, an elastomeric protein, in insect vein joints provides the flexible, passive deformations that are crucial to A. mellifera flight and the role of the forager, the oldest A. mellifera biological age class. Foragers collect the pollen necessary to feed the colony and their disappearance jeopardizes colony health, contributing to the onset of Colony Collapse Disorder (CCD). As CCD and other stressors continue to impact A. mellifera populations, it is increasingly important to understand and establish physiological markers of A. melliferahealth, allowing for early warning systems for apiarists to take preventative actions. Resilin is a potential novel and age-dependent indicator of health. Methodology included measuring the 1m-cu, 2m-cu, Cu-V, and Cu2-V joints on the forewing and the Cu- V joint of the hindwing using a fluorescence microscope equipped with an aniline blue filter. Quantitative fluorescence imaging analysis calculated Corrected Total Cell Fluorescence (CTCF). The 1m-cu and the Cu-V joints on the ventral forewing, and the Cu-V joint on the ventral hindwing varied significantly between age classes on the left and right sides of the wing. At the 1m-cu joint, CTCF continually decreased from the hatchling to forager age classes. At the Cu-V joints on the forewing and the hindwing, CTCF decreased from the hatchling to nurse age classes, and then increased between the nurse, guard, and forager age classes. The results of this study suggest that the CTCF of resilin is age-dependent. Disaster Proof Design for Pacific Housing Reese Artero Guam High School U.S. Naval Hospital Base Mentor: Paul Cuaresma Typhoon damage is a growing point of concern for the people of the Pacific; destroying homes, causing water shortages, power outages, flooding, and even death in the most extreme cases, prompting the idea to create a design that could successfully withstand all natural disasters within the Pacific Region. With the creation of a contoured dome model structure, typhoon damages would be significantly decreased, limiting the amount of damage control that would need to be done afterwards, and limiting the amount of people that could possibly be harmed during typhoons as well. Through extensive wind tests using sugar and wind, it was found that a contoured dome model is more effective in comparison to a smooth model dome, with an almost 50% higher wind diversion rate. Ultimately, the design for a disaster proof home for the pacific, maintains a higher windload than most other residential structures, and would be able to withstand some of the most damaging winds in the case of a super typhoon in the pacific. The Effect of Light Intensity on Planarian Regeneration: Using Planarian Regeneration Patterns as a Model for Human Regeneration Projects Sydney Assalita State College Area High School State College, Pennsylvania State College, Pennsylvania In a mere ten to twenty years, regeneration within human specimens may become