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1. A mark-specific quantile regression model

   https://doi.org/10.1093/biomet/asad039  

   Qu, Lianqiang; Sun, Liuquan; Sun, Yanqing (June 2023, Biometrika)

   Summary Quantile regression has become a widely used tool for analysing competing risk data. However, quantile regression for competing risk data with a continuous mark is still scarce. The mark variable is an extension of cause of failure in a classical competing risk model where cause of failure is replaced by a continuous mark only observed at uncensored failure times. An example of the continuous mark variable is the genetic distance that measures dissimilarity between the infecting virus and the virus contained in the vaccine construct. In this article, we propose a novel mark-specific quantile regression model. The proposed estimation method borrows strength from data in a neighbourhood of a mark and is based on an induced smoothed estimation equation, which is very different from the existing methods for competing risk data with discrete causes. The asymptotic properties of the resulting estimators are established across mark and quantile continuums. In addition, a mark-specific quantile-type vaccine efficacy is proposed and its statistical inference procedures are developed. Simulation studies are conducted to evaluate the finite sample performances of the proposed estimation and hypothesis testing procedures. An application to the first HIV vaccine efficacy trial is provided. 

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2. Site-specific and mRNA-specific control of accurate mRNA editing by a helicase complex in trypanosomes

   https://doi.org/10.1261/rna.076513.120  

   Kumar, Vikas; Ivens, Alasdair; Goodall, Zachary; Meehan, Joshua; Doharey, Pawan K; Hillhouse, Andrew; Hurtado, Daniel O; Cai, James J; Zhang, Xiuren; Schnaufer, Achim; et al (September 2020, RNA)
3. Domain-Specific Phase Transitions in a Supramolecular Nanostructure

   https://doi.org/10.1021/jacs.2c05908  

   Kaser, Samuel J.; Christoff-Tempesta, Ty; Uliassi, Linnaea D.; Cho, Yukio; Ortony, Julia H. (October 2022, Journal of the American Chemical Society)
4. A domain-specific language for exploratory data visualization

   https://doi.org/10.1145/3278122.3278138  

   Smeltzer, Karl; Erwig, Martin (January 2018, 17th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences)

   With an ever-growing amount of collected data, the importance of visualization as an analysis component is growing in concert. The creation of good visualizations often doesn't happen in one step but is rather an iterative and exploratory process. However, this process is currently not well supported in most of the available visualization tools and systems. Visualization authors are forced to commit prematurely to particular design aspects of their creations, and when exploring potential variant visualizations, they are forced to adopt ad hoc techniques such as copying code snippets or keeping a collection of separate files. We propose variational visualizations as a model supporting open-ended exploration of the design space of information visualization. Together with that model, we present a prototype implementation in the form of a domain-specific language embedded in Purescript. 

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5. BitSAD: A Domain-Specific Language for Bitstream Computing

   Kyle Daruwalla, Heng Zhuo (June 2019, Proceedings of the First ISCA Workshop on Unary Computing (WUC'19))

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