SYNOPSIS. Stomatogenesis in Paramecium aurelia is shown to involve the lower kineties of the right vestibular wall, the endoral membrane and perhaps the quadrulus. The anarchic field for the new buccal organelles is formed by granules produced from somatic kinetosomes of the right vestibular wall. The endoral membrane becomes incorporated into the buccal anlage and probably regulates orientation and development of the new organelles. A production of heretofore unobserved buccal kinetosomes from the quadrulus is described and it is suggested that these may form the new endoral membrane for the proter. During conjugation the infraciliature dedifferentiates in the area of fusion between the conjugants. The buccal organelles dedifferentiate at the time of pronucleus formation and transfer. It is suggested that dedifferentiation of structures in the fusion area is caused by a partial solation of the cortex in this area. The dedifferentiation of the buccal organelles results from the solation of the cytoplasm and the cortex of the paroral cone during pronucleus migration. The redifferentiation of the buccal organelles and somatic kinetosomes is suggested to be a recrystallization or gelation of the cortex with the structures re‐forming in their normal positions and not from an anarchic field as at fission.

No abstract

Integrating land use, travel demand, and traffic models represents a gold standard for regional planning, but is rarely achieved in a meaningful way, especially at the scale of disaggregate data. In this report, we present a new pipeline architecture for integrated modeling of urban land use, travel demand, and traffic assignment. Our land use model, UrbanSim, is an open-source microsimulation platform used by metropolitan planning organizations worldwide for modeling the growth and development of cities over long (∼30 year) time horizons. Ur-banSim is particularly powerful as a scenario analysis tool, enabling planners to compare and contrast the impacts of different policy decisions on long term land use forecasts in a statistically rigorous way. Our travel demand model, Ac-tivitySim, is an agent-based modeling platform that produces synthetic origindestination travel demand data. Finally, we use a static user equilibrium traffic assignment model based on the Frank-Wolfe algorithm to assign vehicles to specific network paths to make trips between origins and destinations. This traffic assignment model runs in a high-performance computing environment. The resulting congested travel time data can then be fed back into UrbanSim and ActivitySim for the next model run. This technical report constitutes the FY18 Q1 deliverable for the U.S. Department of Energy SMART Mobility Urban Science Pillar task 2.2.2.2018: Coupling Land Use Models and Network Flow Models. It introduces this research area, describes this project's achievements so far in developing this integrated pipeline, and presents an upcoming research agenda.

This paper presents an integrated modelling framework to capture pedestrian walking behaviour in congested and uncongested conditions. The framework is built using a combination of concepts from the Social Force model (basic one-to-one interaction), behavioural heuristics (physiological and cognitive constraints), and materials science (multi-body potential concept). The approach is ultimately designed to capture pedestrian interactions in transit stations. Due to the lack of available trajectory data of pedestrians within transit stations, the model is calibrated using pedestrian trajectory data from narrow bottleneck and bidirectional flow experiments provided by the Delft University of Technology. These two scenarios were chosen due to the frequency with which they occur in transit stations. The integrated modelling framework reproduced similar trajectory patterns observed in the experiments which encouraged a transit station simulation in an environment similar to that at the FoggyBottom METRO station in Washington, D.C. ARTICLE HISTORY

The popularity of hackathons has increased as technology pervades more facets of our lives. Originally designed for programmers, hackathons are now being appropriated by new stakeholders across diverse sectors. Yet with this evolution in hackathons, we no longer adequately understand what is produced and, thereby, the value of these events. We conducted an interview study with 22 stakeholders-participants, representatives of nonprofit organizations, and organizers-of the CHI4Good Day of Service to understand what is produced through philanthropic hackathons. Whereas traditional hackathons are oriented around the production of code or prototypes, our analysis of interview data suggests that the production work of philanthropic hackathons also includes technical capacity and expertise, expanded social networks, an exposure to design process, affective experiences, and an opportunity for participants to shape their identities against a cross-sectoral, interdisciplinary backdrop. We conclude by reflecting on implications for the CHI community in carrying out philanthropic events styled after hackathons.