78 Lauren Warner graduated from high school in Summit, Illinois, in 2016 and earned her BS in atmospheric science from Purdue University in 2020. During her junior and senior years she worked with Dr. Robin Tanamachi on this project. Warner also participated in fieldwork during this period, helping Tanamachi's research group deploy a mobile Doppler radar near severe storms. Warner plans to pursue her master's degree in geography with a focus on meteorology at Ohio University starting in the fall of 2020. Mentor
{"title":"High Wind Alerts: A System Created With Observations From the X-band Teaching and Research Radar","authors":"Lauren Warner","doi":"10.7771/2158-4052.1448","DOIUrl":"https://doi.org/10.7771/2158-4052.1448","url":null,"abstract":"78 Lauren Warner graduated from high school in Summit, Illinois, in 2016 and earned her BS in atmospheric science from Purdue University in 2020. During her junior and senior years she worked with Dr. Robin Tanamachi on this project. Warner also participated in fieldwork during this period, helping Tanamachi's research group deploy a mobile Doppler radar near severe storms. Warner plans to pursue her master's degree in geography with a focus on meteorology at Ohio University starting in the fall of 2020. Mentor","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79908242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
8 Noah Alderton is currently a student at Purdue University pursuing a BS in computer science and data science and a BA in political science. During the past three summers, he has interned as a software engineer and plans on working fulltime in software development upon graduation. Additionally, Alderton has a passion for education, and he has worked as a lecturer and curriculum creator for CS 193. He has been a teaching assistant for multiple different courses, including CS 240 and POL 300. Later in life he hopes to achieve a master’s degree in computer science.
{"title":"Hot and Cold: Quantifying the Variation of Sentiment in Supreme Court Confirmation Hearings","authors":"Noah Alderton","doi":"10.7771/2158-4052.1484","DOIUrl":"https://doi.org/10.7771/2158-4052.1484","url":null,"abstract":"8 Noah Alderton is currently a student at Purdue University pursuing a BS in computer science and data science and a BA in political science. During the past three summers, he has interned as a software engineer and plans on working fulltime in software development upon graduation. Additionally, Alderton has a passion for education, and he has worked as a lecturer and curriculum creator for CS 193. He has been a teaching assistant for multiple different courses, including CS 240 and POL 300. Later in life he hopes to achieve a master’s degree in computer science.","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78791120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Human Factors Analysis and Classifi cation System (HFACS) is a safety tool that aids in the identifi cation and analysis of organizational factors that contribute to aircraft accidents. By using the HFACS model, safety investigators can better understand the existing conditions that contribute to accidents, which then allows for the development and implementation of safety programs to prevent these conditions. In this study, the HFACS framework was utilized to identify the human factors that contributed to the Asiana Airlines fl ight 214 accident that occurred on July 6, 2013. The results of this study indicate that inadequate pilot training, lack of upper-level supervision, and recurring deviation from standard operating procedures (SOPs) largely contributed to this accident. These fi ndings emphasize the various organizational levels that serve a role in aviation accidents, highlighting the importance of practicing a proactive approach to safety and mitigating hazards within the upper levels of an organization before they lead to disaster on the front line. Small, A. (2020). Human factors analysis and classifi cation system (HFACS): As applied to Asiana Airlines fl ight 214. Journal of Purdue Undergraduate Research, 10 , 69–77
{"title":"Human Factors Analysis and Classification System (HFACS): As Applied to Asiana Airlines Flight 214","authors":"A. Small","doi":"10.7771/2158-4052.1485","DOIUrl":"https://doi.org/10.7771/2158-4052.1485","url":null,"abstract":"The Human Factors Analysis and Classifi cation System (HFACS) is a safety tool that aids in the identifi cation and analysis of organizational factors that contribute to aircraft accidents. By using the HFACS model, safety investigators can better understand the existing conditions that contribute to accidents, which then allows for the development and implementation of safety programs to prevent these conditions. In this study, the HFACS framework was utilized to identify the human factors that contributed to the Asiana Airlines fl ight 214 accident that occurred on July 6, 2013. The results of this study indicate that inadequate pilot training, lack of upper-level supervision, and recurring deviation from standard operating procedures (SOPs) largely contributed to this accident. These fi ndings emphasize the various organizational levels that serve a role in aviation accidents, highlighting the importance of practicing a proactive approach to safety and mitigating hazards within the upper levels of an organization before they lead to disaster on the front line. Small, A. (2020). Human factors analysis and classifi cation system (HFACS): As applied to Asiana Airlines fl ight 214. Journal of Purdue Undergraduate Research, 10 , 69–77","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80747138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
52 Allen Murray is currently a junior at Purdue University Northwest and is majoring in both physics and mathematics, with minors in astrophysics and French. He currently conducts research with Dr. Aaron Warren that focuses on binary neutron star mergers of particularly high mass ratio. Their research seeks to see how mass ejecta, kilonova, and gravitational wave characteristics can help determine neutron star structure and the nuclear equation of state. Murray intends to pursue a graduate degree in physics after completion of his BS in the spring of 2021. He also enjoys casual astronomical observation and French cooking. Aaron Warren is an associate professor of physics and director of the Science Interdisciplinary Research Center at Purdue University Northwest. Dr. Warren completed his AB degree at Vassar College, with majors in physics, mathematics, and astronomy, in 2000 and his PhD from Rutgers University in physics in 2006. He conducts research in both astrophysics and physics education research. His early work in computational astrophysics studied simulations of stellar collisions and the production of blue stragglers in globular clusters. Currently, Warren focuses on simulations of binary neutron star mergers having exceptional characteristics such as high mass ratios and magnetizations, with a particular interest in determining whether and how the electromagnetic and gravitational signals from such mergers may provide insights regarding the nuclear equation of state, neutron star structure, and merger remnant properties. BINARY NEUTRON STAR MERGERS: Testing Ejecta Models for High Mass-Ratios
Allen Murray目前是普渡大学西北分校的大三学生，主修物理和数学，辅修天体物理学和法语。他目前与Aaron Warren博士一起进行研究，专注于特别高质量比的双中子星合并。他们的研究旨在了解物质抛射、千新星和引力波特征如何帮助确定中子星结构和核状态方程。穆雷打算在2021年春季完成学士学位后继续攻读物理学研究生学位。他还喜欢天文观测和法式烹饪。Aaron Warren是普渡大学西北分校物理学副教授和科学跨学科研究中心主任。他于2000年在瓦萨学院(Vassar College)获得物理、数学和天文学学士学位，2006年在罗格斯大学(Rutgers University)获得物理学博士学位。他从事天体物理学和物理教育研究。他在计算天体物理学方面的早期工作是模拟恒星碰撞和球状星团中蓝离散星的产生。目前，Warren专注于具有高质量比和高磁化等特殊特征的双中子星合并的模拟，特别感兴趣的是确定这种合并产生的电磁和引力信号是否以及如何提供有关核状态方程、中子星结构和合并残余特性的见解。双中子星合并:测试高质量比的喷射模型
{"title":"Binary Neutron Star Mergers: Testing Ejecta Models for High Mass-Ratios","authors":"Allen Murray","doi":"10.7771/2158-4052.1442","DOIUrl":"https://doi.org/10.7771/2158-4052.1442","url":null,"abstract":"52 Allen Murray is currently a junior at Purdue University Northwest and is majoring in both physics and mathematics, with minors in astrophysics and French. He currently conducts research with Dr. Aaron Warren that focuses on binary neutron star mergers of particularly high mass ratio. Their research seeks to see how mass ejecta, kilonova, and gravitational wave characteristics can help determine neutron star structure and the nuclear equation of state. Murray intends to pursue a graduate degree in physics after completion of his BS in the spring of 2021. He also enjoys casual astronomical observation and French cooking. Aaron Warren is an associate professor of physics and director of the Science Interdisciplinary Research Center at Purdue University Northwest. Dr. Warren completed his AB degree at Vassar College, with majors in physics, mathematics, and astronomy, in 2000 and his PhD from Rutgers University in physics in 2006. He conducts research in both astrophysics and physics education research. His early work in computational astrophysics studied simulations of stellar collisions and the production of blue stragglers in globular clusters. Currently, Warren focuses on simulations of binary neutron star mergers having exceptional characteristics such as high mass ratios and magnetizations, with a particular interest in determining whether and how the electromagnetic and gravitational signals from such mergers may provide insights regarding the nuclear equation of state, neutron star structure, and merger remnant properties. BINARY NEUTRON STAR MERGERS: Testing Ejecta Models for High Mass-Ratios","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84034667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparative Analysis of Classifiers Within the DP System","authors":"Xuan Hu, P. Monroy","doi":"10.7771/2158-4052.1464","DOIUrl":"https://doi.org/10.7771/2158-4052.1464","url":null,"abstract":"","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77166575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"School Support Personnel’s Perspectives on School-Based Grief Support","authors":"Eliza Van","doi":"10.7771/2158-4052.1455","DOIUrl":"https://doi.org/10.7771/2158-4052.1455","url":null,"abstract":"","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90906354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Between 2008 and 2019, 49% of Purdue students switched majors. Lack of career decisiveness has been associated with attrition, according to Titley and Titley (1980) in “Are Only the Undecided Undecided?,” and lower academic achievement, according to Tampke and Durodoye (2013) in “Improving Academic Success for Undecided Students.” Purdue University’s Exploratory Studies program (EXPL) aims to guide undecided students with a higher advisor-to-student ratio and coursework in academic planning. This study measures the program’s impact on students’ GPAs and graduation rates.
{"title":"A Fork in the Road: Exploring Undecided Student Success","authors":"J. Ching","doi":"10.7771/2158-4052.1465","DOIUrl":"https://doi.org/10.7771/2158-4052.1465","url":null,"abstract":"Between 2008 and 2019, 49% of Purdue students switched majors. Lack of career decisiveness has been associated with attrition, according to Titley and Titley (1980) in “Are Only the Undecided Undecided?,” and lower academic achievement, according to Tampke and Durodoye (2013) in “Improving Academic Success for Undecided Students.” Purdue University’s Exploratory Studies program (EXPL) aims to guide undecided students with a higher advisor-to-student ratio and coursework in academic planning. This study measures the program’s impact on students’ GPAs and graduation rates.","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89143401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The world is overwhelmed with mounting numbers of suicides, high college dropout rates, and low university retention. There are many complex and overwhelming causes behind these statistics. They include everything from bullying by peers and professors, family loss, and feelings of isolation. Are there also solutions? Our research suggests that there is one solution that can improve these negative eff ects no matter the causes behind them: kindness.
{"title":"The Power of Kindness and Positivity in the College Environment","authors":"Kayla Vasilko, J. Stewart","doi":"10.7771/2158-4052.1433","DOIUrl":"https://doi.org/10.7771/2158-4052.1433","url":null,"abstract":"The world is overwhelmed with mounting numbers of suicides, high college dropout rates, and low university retention. There are many complex and overwhelming causes behind these statistics. They include everything from bullying by peers and professors, family loss, and feelings of isolation. Are there also solutions? Our research suggests that there is one solution that can improve these negative eff ects no matter the causes behind them: kindness.","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77027122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
2 Sabriya Maryam Alam is a junior in the College of Engineering and the Purdue Honors College studying electrical and computer engineering. She is interested in the development of impactful application-based machine learning systems and intends to pursue graduate studies in a related field. In addition to her work on video analytics, Alam’s research experience includes developments for artificial intelligence–powered smart city applications and personalized health care. Outside of her research pursuits, she serves as vice president of the Purdue Muslim Student Association and is a cofounder of the Purdue chapter of the national nonprofit Girls Who Code.
{"title":"Navigating in Numerous Video Data: User Interface Design for an On-Camera Video Analytics Engine","authors":"S. Alam","doi":"10.7771/2158-4052.1447","DOIUrl":"https://doi.org/10.7771/2158-4052.1447","url":null,"abstract":"2 Sabriya Maryam Alam is a junior in the College of Engineering and the Purdue Honors College studying electrical and computer engineering. She is interested in the development of impactful application-based machine learning systems and intends to pursue graduate studies in a related field. In addition to her work on video analytics, Alam’s research experience includes developments for artificial intelligence–powered smart city applications and personalized health care. Outside of her research pursuits, she serves as vice president of the Purdue Muslim Student Association and is a cofounder of the Purdue chapter of the national nonprofit Girls Who Code.","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76778777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traumatic brain injury (TBI) is one of the leading causes of death and disability in the United States, with more than 1.7 million people seeking medical care for TBI annually. Although there are currently no eff ective clinical treatments for TBI, preclinical treatments using neural stem cells (NSCs) have shown promising results to promote tissue neuroprotection and recovery post-injury. This study aims to analyze how NSCs diff erentiate into neural networks and seeks to characterize their corresponding activity level to help improve preclinical TBI treatments. Based upon past studies, we hypothesized that NSCs would diff erentiate into mature neurons within two weeks, but would have a delayed functional activity response of 1–2 months.
{"title":"Characterization of Neuronal Differentiation and Activity in Human-Induced Pluripotent Neural Stem Cells","authors":"A. Biddinger","doi":"10.7771/2158-4052.1451","DOIUrl":"https://doi.org/10.7771/2158-4052.1451","url":null,"abstract":"Traumatic brain injury (TBI) is one of the leading causes of death and disability in the United States, with more than 1.7 million people seeking medical care for TBI annually. Although there are currently no eff ective clinical treatments for TBI, preclinical treatments using neural stem cells (NSCs) have shown promising results to promote tissue neuroprotection and recovery post-injury. This study aims to analyze how NSCs diff erentiate into neural networks and seeks to characterize their corresponding activity level to help improve preclinical TBI treatments. Based upon past studies, we hypothesized that NSCs would diff erentiate into mature neurons within two weeks, but would have a delayed functional activity response of 1–2 months.","PeriodicalId":30386,"journal":{"name":"Journal of Purdue Undergraduate Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73783572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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