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2020 IEEE Integrated STEM Education Conference (ISEC)最新文献

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Experiment design with Galilean beam expanders for magneto-optical traps and the advanced undergraduate laboratory 伽利略磁光阱扩束器实验设计及先进的本科实验室
Pub Date : 2020-08-01 DOI: 10.1109/ISEC49744.2020.9280634
J. Cochrane, M. Lanzerotti, C. Gerving, Seth T. Barbrow, Anthony Dinallo
This paper presents a compound lens experiment design suitable for upper-division undergraduate laboratory courses in which teams of students constructed and measured the properties of Galilean beam expanders. Skill in developing Galilean beam expanders is useful for undergraduates who will build a magneto-optical trap in a follow-on course. This laboratory experiment was performed by third-year undergraduate students in our applied optics course and provided students with the opportunity to gain knowledge about lasers, lenses, and alignment of optical components prior to their laboratory work building a magneto-optical trap.
本文提出了一种适用于本科高年级实验课程的复合透镜实验设计方案,在该方案中,学生团队构建并测量了伽利略扩束器的特性。开发伽利略光束扩展器的技能对于将在后续课程中构建磁光阱的本科生是有用的。本实验由我校应用光学专业本科三年级学生进行,为学生提供了在实验室建立磁光阱之前了解激光、透镜和光学元件对准的机会。
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引用次数: 0
Instrumentation & Investigation of Phage-Antibiotic Synergy on K. pneumoniae, H. alvei, and Transductant H. alvei 噬菌体-抗生素协同作用对肺炎克雷伯菌、肺泡嗜血杆菌和肺泡嗜血杆菌的检测与研究
Pub Date : 2020-08-01 DOI: 10.1109/ISEC49744.2020.9397809
I. Meah, D. Singleton
Antibiotics are powerful medicines that fight certain infections and can save lives when used properly. However, with bacteria becoming more resistant to antibiotics, new methods to treat bacterial infections are needed. One promising method for treating bacteria is the use of bacteriophages: viruses that infect and kill bacteria. This experiment investigated the effect of phage-antibiotic synergism on Klebsiella pneumoniae, Hafnia alvei, and transductant ampicillin-resistant Hafnia alvei. The trait for ampicillin resistance was transferred from K. pneumoniae to H. alvei using a device that was constructed in the lab. The zones of inhibition were then measured around the bacteria that were treated with the antibiotic discs alone and the bacteria that were treated with both the bacteriophage and the antibiotic discs. Hafnia alvei, Klebsiella pneumoniae, and the transductant ampicillin-resistant Hafnia alvei colonies exhibited larger zones of inhibition when the antibiotics were used in conjunction with the bacteriophages compared to when the antibiotics were used alone. The bacteriophages also made the transductant ampicillin-resistant Hafnia alvei colonies slightly susceptible to ampicillin again. This project demonstrates STEM integration into a high school biological science project.
抗生素是对抗某些感染的强效药物,如果使用得当,可以挽救生命。然而,随着细菌对抗生素的耐药性越来越强,需要新的方法来治疗细菌感染。一种很有前景的治疗细菌的方法是使用噬菌体:一种感染并杀死细菌的病毒。本实验探讨了噬菌体-抗生素协同作用对肺炎克雷伯菌、肺泡肺泡菌和耐氨苄西林换能剂肺泡肺泡菌的影响。利用实验室构建的装置将氨苄西林耐药性性状从肺炎克雷伯菌转移到肺泡嗜血杆菌。然后在单独用抗生素盘处理的细菌和同时用噬菌体和抗生素盘处理的细菌周围测量抑制区域。与单独使用抗生素相比,当抗生素与噬菌体联合使用时,肺泡Hafnia,肺炎克雷伯菌和耐氨苄西林转导的肺泡Hafnia菌落表现出更大的抑制区。噬菌体也使具有氨苄西林抗性的Hafnia alvei菌落再次对氨苄西林敏感。本项目展示了STEM与高中生物科学项目的融合。
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引用次数: 0
ISEC 2020 Breaker Page ISEC 2020断路器页
Pub Date : 2020-08-01 DOI: 10.1109/isec49744.2020.9280601
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引用次数: 0
STEM Leadership and Training for Trailblazing Students in an Immersive Research Environment 在沉浸式研究环境中为开拓性学生提供STEM领导力和培训
Pub Date : 2020-05-01 DOI: 10.1109/ISEC49744.2020.9280735
Marisel Villafañe-Delgado, E. C. Johnson, Marisa Hughes, Martha Cervantes, William Gray-Roncal
Educating the workforce of tomorrow is an increasingly critical challenge for areas such as data science, machine learning, and artificial intelligence. These core skills may revolutionize progress in areas such as health care and precision medicine, autonomous systems and robotics, and neuroscience. Skills in data science and artificial intelligence are in high demand in industrial research and development, but we do not believe that traditional recruiting and training models in industry (e.g., internships, continuing education) are serving the needs of the diverse populations of students who will be required to revolutionize these fields. Our program, the Cohort-based Integrated Research Community for Undergraduate Innovation and Trailblazing (CIRCUIT), targets trailblazing, high-achieving students who face barriers in achieving their goals and becoming leaders in data science, machine learning, and artificial intelligence research. Traditional recruitment practices often miss these ambitious and talented students from nontraditional backgrounds, and these students are at a higher risk of not persisting in research careers. In the CIRCUIT program we recruit holistically, selecting students on the basis of their commitment, potential, and need. We designed a training and support model for our internship. This model consists of a compressed data science and machine learning curriculum, a series of professional development training workshops, and a team-based robotics challenge. These activities develop the skills these trailblazing students will need to contribute to the dynamic, team-based engineering teams of the future.
教育未来的劳动力是数据科学、机器学习和人工智能等领域日益严峻的挑战。这些核心技能可能会在医疗保健和精准医疗、自主系统和机器人以及神经科学等领域带来革命性的进步。工业研发对数据科学和人工智能技能的需求很高,但我们认为,传统的工业招聘和培训模式(如实习、继续教育)无法满足不同群体的学生的需求,而这些学生将需要彻底改变这些领域。我们的项目,基于队列的本科生创新和开拓综合研究社区(CIRCUIT),针对在实现目标和成为数据科学、机器学习和人工智能研究领域的领导者方面面临障碍的开拓性高成就学生。传统的招聘方式往往会错过这些来自非传统背景的雄心勃勃、才华横溢的学生,而这些学生不坚持从事研究工作的风险更高。在CIRCUIT项目中,我们全面招收学生,根据他们的承诺、潜力和需求来选择学生。我们为我们的实习设计了一个培训和支持模式。该模型由压缩的数据科学和机器学习课程、一系列专业发展培训研讨会和基于团队的机器人挑战组成。这些活动培养了这些开拓性学生的技能,为未来充满活力、以团队为基础的工程团队做出贡献。
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引用次数: 2
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2020 IEEE Integrated STEM Education Conference (ISEC)
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