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Recent Submissions

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The Function of Risk: Breath, Gravity, and Play in STREB
(2024-03) Dillon, Lucile; Zbikowski, Abby
This research analyzes the function of extreme action and risk in the choreographic work of Elizabeth Streb. I question how extreme risk in choreography activates the bodies in the audience, calling them into a deeper empathetic experience than passive observation. Then, in this activated state of witnessing, does the choreography become actionable? While Streb distances herself from the aesthetics and priorities of Western modern dance, I argue that many of Streb’s critics frame her work inside of the concert dance paradigm. Then, many critics review her work from a visualist bias that only ogles at the work’s spectacularity. Streb advocates for her work as action, not dance, and thus I prioritize the vitality affects, or kinetic elements, of her work to see past the visual spectacle (Sklar 2008). This method of movement analysis allows for a reading of Streb’s work in its own language – we attend to what we hear and feel over what we see. Using the scholarship of Jean Thomas Tremblay (2022), Ann Cooper Albright (2019), and Janet O’Shea (2019), I trace breath, gravity, and play through two of Streb’s core action events: Little Ease (1991) and SEA (2018). This movement analysis reveals the weighted resilience of Streb’s work that does not transcend the inescapable forces laid upon bodies, particularly bodies that experience class-based and gender-based oppression, but persists with realism and endurance through them. The extreme action and risk of Streb’s work unearths more than a gasp or cringe but also activates a shift or new awareness in the witness's body that is rooted in the queer, working class consciousness of Streb’s movement cosmology.
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Data for Healthy Communities: A Public Interest Pilot Course Designed to Develop K-12 Data Literacy
(Association for Computing Machinery, 2024-03) Nutwell, Emily; Badger, Kelsey; Kulp, Jessica T.
Data analytics skills are in high demand in a wide variety of professions and data is increasingly present in our everyday lives. Considering this, educators should be equipped to prepare future data scientists, but also data literate citizens. This project engages high school students in the real-world practice of data analytics to promote the public interest. The research team is partnering with a local public STEM high school to design, evaluate, and publicly share an enrichment course that introduces students to data analytics in the context of public health. Integrating data science education and public health will enable students to engage in meaningful data-driven problem solving while promoting civic engagement. A key challenge in introducing data skills in K-12 is addressing barriers to access. To cope with these barriers, the course design incorporates the use of spreadsheets to engage students in computational thinking. This poster will present preliminary assessment results from the 3-week enrichment course conducted in January 2024. This project contributes to the ongoing discussion of K-12 data science education by demonstrating the value of contextualizing data science as a key competency for 21st century public service.
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Usage of MD protein modeling simulations to quantify results from the novel method of absolute quantitative protein footprinting mass spectrometry
(2024-03) Hu, Luke; Cheng, Xiaolin
There are currently a couple ways to elucidate 3D protein structures, the 2 current gold standards being nuclear magnetic resonance (NMR) and X-ray crystallography, alongside a new emerging method of cryogenic electron microscopy (Cryo-EM). However, there are many issues associated with these methods that include high overhead, poor suitability to specific groups of proteins, and various other issues. Absolute quantitative protein footprinting mass spectrometry (aqPFMS) is a method recently developed in PI Dr. Hao Chen laboratory at NJIT, taking advantage of electrochemically active residues, surface area exposure of these residues to external solvents, and subsequent ability to covalently bind to certain tags. Our usage of MD simulations is to provide a theoretical comparison to the experimental results for verification. PDB files of Calmodulin bound and unbound from the calcium ion are acquired from a protein database, solvated in a water box, and run through NAMD for 500 ns using computers provided by the Ohio Supercomputer Center. Root-mean-square fluctuations of individual residues (RMSF), and Solvent accessible surface areas (SASA) of lysines are calculated for comparison to the results from the aqPFMS experiments. Once verified, future analysis with this novel technique may be conducted on an alternative configuration of Calmodulin, the Calmodulin-Melitten complex, the SARS-CoV-2 spike protein, and various other proteins.
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Front Matter with Masthead (Volume 84, Number 6, 2024)
(Ohio State University. Moritz College of Law, 2024)
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Table of Contents (Volume 84, Number 6, 2024)
(Ohio State University. Moritz College of Law, 2024)