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FRB 190608 was detected by ASKAP and localized to a spiral galaxy at$z_{host}=0.11778$ in the SDSS footprint. The burst has a large dispersionmeasure ($DM_{FRB}=339.8$ $pc/cm^3$) compared to the expected cosmic average atits redshift. It also has a large rotation measure ($RM_{FRB}=353$ $rad/m^2$)and scattering timescale ($\tau=3.3$ $ms$ at $1.28$ $GHz$). Chittidi et al(2020) perform a detailed analysis of the ultraviolet and optical emission ofthe host galaxy and estimate the host DM contribution to be $110\pm 37$$pc/cm^3$. This work complements theirs and reports the analysis of the opticaldata of galaxies in the foreground of FRB 190608 to explore their contributionsto the FRB signal. Together, the two manuscripts delineate an observationallydriven, end-to-end study of matter distribution along an FRB sightline; thefirst study of its kind. Combining KCWI observations and public SDSS data, weestimate the expected cosmic dispersion measure $DM_{cosmic}$ along thesightline to FRB 190608. We first estimate the contribution of hot, ionized gasin intervening virialized halos ($DM_{halos} \approx 7-28$ $pc/cm^3$). Then,using the Monte Carlo Physarum Machine (MCPM) methodology, we produce a 3D mapof ionized gas in cosmic web filaments and compute the DM contribution frommatter outside halos ($DM_{IGM} \approx 91-126$ $pc/cm^3$). This implies agreater fraction of ionized gas along this sightline is extant outsidevirialized halos. We also investigate whether the intervening halos can accountfor the large FRB rotation measure and pulse width and conclude that it isimplausible. Both the pulse broadening and the large Faraday rotation likelyarise from the progenitor environment or the host galaxy.

FRB 190608 was detected by ASKAP and localized to a spiral galaxy at$z_{host}=0.11778$ in the SDSS footprint. The burst has a large dispersionmeasure ($DM_{FRB}=339.8$ $pc/cm^3$) compared to the expected cosmic average atits redshift. It also has a large rotation measure ($RM_{FRB}=353$ $rad/m^2$)and scattering timescale ($\tau=3.3$ $ms$ at $1.28$ $GHz$). Chittidi et al(2020) perform a detailed analysis of the ultraviolet and optical emission ofthe host galaxy and estimate the host DM contribution to be $110\pm 37$$pc/cm^3$. This work complements theirs and reports the analysis of the opticaldata of galaxies in the foreground of FRB 190608 to explore their contributionsto the FRB signal. Together, the two manuscripts delineate an observationallydriven, end-to-end study of matter distribution along an FRB sightline; thefirst study of its kind. Combining KCWI observations and public SDSS data, weestimate the expected cosmic dispersion measure $DM_{cosmic}$ along thesightline to FRB 190608. We first estimate the contribution of hot, ionized gasin intervening virialized halos ($DM_{halos} \approx 7-28$ $pc/cm^3$). Then,using the Monte Carlo Physarum Machine (MCPM) methodology, we produce a 3D mapof ionized gas in cosmic web filaments and compute the DM contribution frommatter outside halos ($DM_{IGM} \approx 91-126$ $pc/cm^3$). This implies agreater fraction of ionized gas along this sightline is extant outsidevirialized halos. We also investigate whether the intervening halos can accountfor the large FRB rotation measure and pulse width and conclude that it isimplausible. Both the pulse broadening and the large Faraday rotation likelyarise from the progenitor environment or the host galaxy.

We introduce RuleVis, a web-based application for defining and editing"correct-by-construction" executable rules that model biochemicalfunctionality, which can be used to simulate the behavior of protein-proteininteraction networks and other complex systems. Rule-based models involveemergent effects based on the interactions between rules, which can varyconsiderably with regard to the scale of a model, requiring the user to inspectand edit individual rules. RuleVis bridges the graph rewriting and systemsbiology research communities by providing an external visual representation ofsalient patterns that experts can use to determine the appropriate level ofdetail for a particular modeling context. We describe the visualization andinteraction features available in RuleVisand provide a detailed exampledemonstrating how RuleVis can be used to reason about intracellularinteractions.

We introduce RuleVis, a web-based application for defining and editing"correct-by-construction" executable rules that model biochemicalfunctionality, which can be used to simulate the behavior of protein-proteininteraction networks and other complex systems. Rule-based models involveemergent effects based on the interactions between rules, which can varyconsiderably with regard to the scale of a model, requiring the user to inspectand edit individual rules. RuleVis bridges the graph rewriting and systemsbiology research communities by providing an external visual representation ofsalient patterns that experts can use to determine the appropriate level ofdetail for a particular modeling context. We describe the visualization andinteraction features available in RuleVisand provide a detailed exampledemonstrating how RuleVis can be used to reason about intracellularinteractions.

We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex characteristics. With NeuroCave, brain researchers can interact with the connectome-either in a standard desktop environment or while wearing portable virtual reality headsets (such as Oculus Rift, Samsung Gear, or Google Daydream VR platforms)-in any coordinate system or topological space, as well as cluster brain regions into different modules on-demand. Furthermore, a default side-by-side layout enables simultaneous, synchronized manipulation in 3D, utilizing modern GPU hardware architecture, and facilitates comparison tasks across different subjects or diagnostic groups or longitudinally within the same subject. Visual clutter is mitigated using a state-of-the-art edge bundling technique and through an interactive layout strategy, while modular structure is optimally positioned in 3D exploiting mathematical properties of platonic solids. NeuroCave provides new functionality to support a range of analysis tasks not available in other visualization software platforms.

We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks. Rule-based modeling has proved instrumental in developing biological models that are concise, comprehensible, easily extensible, and that mitigate the combinatorial complexity of multi-state and multi-component biological molecules. Our technique visualizes the dynamics of these rules as they evolve over time. Using the data produced by KaSim, an open source stochastic simulator of rule-based models written in the Kappa language, DINs provide a node-link diagram that represents the influence that each rule has on the other rules. That is, rather than representing individual biological components or types, we instead represent the rules about them (as nodes) and the current influence of these rules (as links). Using our interactive DIN-Viz software tool, researchers are able to query this dynamic network to find meaningful patterns about biological processes, and to identify salient aspects of complex rule-based models. To evaluate the effectiveness of our approach, we investigate a simulation of a circadian clock model that illustrates the oscillatory behavior of the KaiC protein phosphorylation cycle.

We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks. Rule-based modeling has proved instrumental in developing biological models that are concise, comprehensible, easily extensible, and that mitigate the combinatorial complexity of multi-state and multi-component biological molecules. Our technique visualizes the dynamics of these rules as they evolve over time. Using the data produced by KaSim, an open source stochastic simulator of rule-based models written in the Kappa language, DINs provide a node-link diagram that represents the influence that each rule has on the other rules. That is, rather than representing individual biological components or types, we instead represent the rules about them (as nodes) and the current influence of these rules (as links). Using our interactive DIN-Viz software tool, researchers are able to query this dynamic network to find meaningful patterns about biological processes, and to identify salient aspects of complex rule-based models. To evaluate the effectiveness of our approach, we investigate a simulation of a circadian clock model that illustrates the oscillatory behavior of the KaiC protein phosphorylation cycle.

We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex characteristics. With NeuroCave, brain researchers can interact with the connectome-either in a standard desktop environment or while wearing portable virtual reality headsets (such as Oculus Rift, Samsung Gear, or Google Daydream VR platforms)-in any coordinate system or topological space, as well as cluster brain regions into different modules on-demand. Furthermore, a default side-by-side layout enables simultaneous, synchronized manipulation in 3D, utilizing modern GPU hardware architecture, and facilitates comparison tasks across different subjects or diagnostic groups or longitudinally within the same subject. Visual clutter is mitigated using a state-of-the-art edge bundling technique and through an interactive layout strategy, while modular structure is optimally positioned in 3D exploiting mathematical properties of platonic solids. NeuroCave provides new functionality to support a range of analysis tasks not available in other visualization software platforms.

Electromagnetic fields are formed through complex interactions between outer space, the Sun, our Earth, its atmosphere, and the built environment. Our communications technology makes use of them to enable the transmission of information at local, global, and even extraterrestrial scales. This article introduces a series of artworks that explore new creative opportunities made possible both via low-cost sensors and through the use of state-of-the-art receivers. The projects engage with the electromagnetic spectrum as a medium of creative expression that maps the invisible landscapes of what Anthony Dunne has termed "Hertzian space."

Electromagnetic fields are formed through complex interactions between outer space, the Sun, our Earth, its atmosphere, and the built environment. Our communications technology makes use of them to enable the transmission of information at local, global, and even extraterrestrial scales. This article introduces a series of artworks that explore new creative opportunities made possible both via low-cost sensors and through the use of state-of-the-art receivers. The projects engage with the electromagnetic spectrum as a medium of creative expression that maps the invisible landscapes of what Anthony Dunne has termed "Hertzian space."