Figure 1: A screenshot of the RuleVis interface, depicting a user in the process of building a rule, consisting of two patterns that describe the 'before' and 'after' states of the system (separated by an arrow). The editor panel (left) enables users to add and delete agents, sites, and links in the visualization in the display panel (right). The text and visualization are mirrored, and changes made to one representation are immediately reflected in the other. ABSTRACTWe introduce RuleVis, a web-based application for defining and editing "correct-by-construction" executable rules that model biochemical functionality, which can be used to simulate the behavior of protein-protein interaction networks and other complex systems. Rule-based models involve emergent effects based on the interactions between rules, which can vary considerably with regard to the scale of a model, requiring the user to inspect and edit individual rules. RuleVis bridges the graph rewriting and systems biology research communities by providing an external visual representation of salient patterns that experts can use to determine the appropriate level of detail for a particular modeling context. We describe the visualization and interaction features available in RuleVis and provide a detailed example demonstrating how RuleVis can be used to reason about intracellular interactions.

We introduce IGM‐Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment is an important factor in the evolution of galaxies from actively forming stars to quiescent states with little, if any, discernible star formation activity. The gaseous halos of galaxies (the circumgalactic medium, or CGM) play a critical role in their evolution, because the gas necessary to fuel star formation and any gas expelled from widely observed galactic winds must encounter this interface region between galaxies and the intergalactic medium (IGM). We present a taxonomy of tasks typically employed in IGM/CGM studies informed by a survey of astrophysicists at various career levels, and demonstrate how these tasks are facilitated via the use of our visualization software. Finally, we evaluate the effectiveness of IGM‐Vis through two in‐depth use cases that depict real‐world analysis sessions that use IGM/CGM data.

The solutions of a system of polynomials in several variables are often needed, e.g.: in the design of mechanical systems, and in phase-space analyses of nonlinear biological dynamics. Reliable, accurate, and comprehensive numerical solutions are available through PHCpack, a FOSS package for solving polynomial systems with homotopy continuation.This paper explores new developments in phcpy, a scripting interface for PHCpack, over the past five years. For instance, phcpy is now available online through a JupyterHub server featuring Python2, Python3, and SageMath kernels. As small systems are solved in real-time by phcpy, they are suitable for interactive exploration through the notebook interface. Meanwhile, phcpy supports GPU parallelization, improving the speed and quality of solutions to much larger polynomial systems. From various model design and analysis problems in STEM, certain classes of polynomial system frequently arise, to which phcpy is well-suited.

Figure 1: A series of style transfer data brushes applied to an image from Kelley's Airportraits project. a shows the original image without any styling, b shows the image styled with the Bruises brush (Lupi and King), c uses the Hennessy brush (Lupi, Maeda, and King), d is styled using our Flatland brush (generated from an image analyzed by Tufte), e is styled using a brush generated from one of Lupi's experimental scrapbook pieces, f showcases styling with the data brush based on Lupi's Data Items, and g demonstrates the result of layering multiple data brushes (including brushes created from visualizations by Minard).

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