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1. Secrets of their Craft

   Smith, Pamela H (June 2023, Minerva)
2. Students’ perceptions of their professors’ integration of computation in their probability and statistics courses.

   Foster, M; Mitelman, A; Cammarota, C; Bogstad, B; Zwickl, B; Wong, T (March 2025, Proceedings of the 27th Annual Conference on Research in Undergraduate Mathematics Education)

   Technology has become an integral part of undergraduate mathematics, particularly the use of technology to solve problems (i.e., the use of computation). In probability and statistics, this push has resulted in several projects designing and assessing tools that are conjectured to be advantageous to students and their learning. Despite this trend, minimal research exists on how students perceive the use of computational tools in their courses. As such, we designed a brief survey for students enrolled in introductory probability and statistics at a university in the Northeastern United States. Using thematic analysis, we qualitatively analyzed these survey responses to explore their perceptions of the integration of computation into their courses. Three themes were identified, relating to features of tools, augmentation of actions, and long-term benefits. This exploration of students’ perceptions allows us to better understand their views on computation and the need for professors to make instructional goals explicit. 

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3. How do properties of data, their curation, and their funding relate to reuse?

   https://doi.org/10.1002/asi.24646  

   Hemphill, Libby; Pienta, Amy; Lafia, Sara; Akmon, Dharma; Bleckley, David A. (October 2022, Journal of the Association for Information Science and Technology)
4. Analysis of machining-induced residual stresses of milled aluminum workpieces, their repeatability, and their resulting distortion

   https://doi.org/10.1007/s00170-021-07171-7  

   Weber, Daniel; Kirsch, Benjamin; Chighizola, Christopher R.; D’Elia, Christopher R.; Linke, Barbara S.; Hill, Michael R.; Aurich, Jan C. (July 2021, The International Journal of Advanced Manufacturing Technology)

   Abstract Machining-induced residual stresses (MIRS) are a main driver for distortion of thin-walled monolithic aluminum workpieces. Before one can develop compensation techniques to minimize distortion, the effect of machining on the MIRS has to be fully understood. This means that not only an investigation of the effect of different process parameters on the MIRS is important. In addition, the repeatability of the MIRS resulting from the same machining condition has to be considered. In past research, statistical confidence of MIRS of machined samples was not focused on. In this paper, the repeatability of the MIRS for different machining modes, consisting of a variation in feed per tooth and cutting speed, is investigated. Multiple hole-drilling measurements within one sample and on different samples, machined with the same parameter set, were part of the investigations. Besides, the effect of two different clamping strategies on the MIRS was investigated. The results show that an overall repeatability for MIRS is given for stable machining (between 16 and 34% repeatability standard deviation of maximum normal MIRS), whereas instable machining, detected by vibrations in the force signal, has worse repeatability (54%) independent of the used clamping strategy. Further experiments, where a 1-mm-thick wafer was removed at the milled surface, show the connection between MIRS and their distortion. A numerical stress analysis reveals that the measured stress data is consistent with machining-induced distortion across and within different machining modes. It was found that more and/or deeper MIRS cause more distortion. 

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5. Extracellular vesicles: exosomes, microparticles, their parts, and their targets to enable their biomanufacturing and clinical applications

   https://doi.org/10.1016/j.copbio.2019.01.005  

   Kao, Chen-Yuan; Papoutsakis, Eleftherios T (December 2019, Current Opinion in Biotechnology)