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In-Person Short Paper Recording: https://youtu.be/FOkFd-w92E4

Additional file 6. Pairwise t-test results for total sample, users with complete data sets only (sensitivity), and 1:1 matched users only (sensitivity).

Additional file 3. Completed Mobile Application Rating Scale (MARS).

Additional file 5. ANCOVA results adjusting for pre-intervention mean daily step count for total sample, users with complete data sets only (sensitivity), and 1:1 matched users only (sensitivity).

Additional file 9. Completed STROBE Statement—checklist of items to be included in reports of observational studies.

Additional file 7. Mean steps per day in the pre-intervention and intervention periods by number of Step Together Challenges completed.

Additional file 1. Detailed description of the matching process.

Additional file 2. Study flowchart.

Additional file 8. Completed TIDieR (Template for Intervention Description and Replication) Checklist.

As population and employment in the Greater Golden Horseshoe (GGH) region increase, there is a need to continue investing in rapid transit infrastructure to connect people and jobs, reduce harmful greenhouse gas emissions from transportation, and ensure that congestion does not negatively affect Ontario’s economic growth. But for rapid transit to have a meaningful impact on shaping travel patterns in the region, new and existing rapid transit infrastructure projects must be integrated with land use planning to promote transit-oriented development (TOD). TOD can offer a number of quality of life benefits for individuals, and for planners and policymakers, TOD is a great way to maximize the return on investment from existing and new rapid transit infrastructure. However, there cannot be a one-size-fits-all approach to TOD in the GGH. With more than 400 rapid transit stations either in existence or in various stages of planning, there is considerable diversity in station area contexts throughout the region. The present project develops and applies an innovative planning tool that distils station area characteristics into a typology of similar station types. Next, this tool is applied to benchmark TOD in present and future rapid transit station areas in the GGH, identifying TOD performance and contrasting this performance with existing and proposed policy and planning to identify areas that can benefit from more targeted interventions. Finally, the project uses the information from the typology to perform a detailed case study of the Hamilton A-Line and B-Line LRT. This project was produced by MITL with support from the Government of Ontario's Places to Grow Implementation Fund

As population and employment in the Greater Golden Horseshoe (GGH) region increase, there is a need to continue investing in rapid transit infrastructure to connect people and jobs, reduce harmful greenhouse gas emissions from transportation, and ensure that congestion does not negatively affect Ontario’s economic growth. But for rapid transit to have a meaningful impact on shaping travel patterns in the region, new and existing rapid transit infrastructure projects must be integrated with land use planning to promote transit-oriented development (TOD). TOD can offer a number of quality of life benefits for individuals, and for planners and policymakers, TOD is a great way to maximize the return on investment from existing and new rapid transit infrastructure. However, there cannot be a one-size-fits-all approach to TOD in the GGH. With more than 400 rapid transit stations either in existence or in various stages of planning, there is considerable diversity in station area contexts throughout the region. The present project develops and applies an innovative planning tool that distils station area characteristics into a typology of similar station types. Next, this tool is applied to benchmark TOD in present and future rapid transit station areas in the GGH, identifying TOD performance and contrasting this performance with existing and proposed policy and planning to identify areas that can benefit from more targeted interventions. Finally, the project uses the information from the typology to perform a detailed case study of the Hamilton A-Line and B-Line LRT. This project was produced by MITL with support from the Government of Ontario's Places to Grow Implementation Fund

Fluorescent protein tags are fundamental tools used to visualize gene products and analyze their dynamics in vivo. Recent advances in genome editing have expedited the precise insertion of fluorescent protein tags into the genomes of diverse organisms. These advances expand the potential of in vivo imaging experiments and facilitate experimentation with new, bright, photostable fluorescent proteins. Most quantitative comparisons of the brightness and photostability of different fluorescent proteins have been made in vitro, removed from biological variables that govern their performance in cells or organisms. To address the gap, we quantitatively assessed fluorescent protein properties in vivo in an animal model system. We generated transgenic Caenorhabditis elegans strains expressing green, yellow, or red fluorescent proteins in embryos and imaged embryos expressing different fluorescent proteins under the same conditions for direct comparison. We found that mNeonGreen was not as bright in vivo as predicted based on in vitro data but is a better tag than GFP for specific kinds of experiments, and we report on optimal red fluorescent proteins. These results identify ideal fluorescent proteins for imaging in vivo in C. elegans embryos and suggest good candidate fluorescent proteins to test in other animal model systems for in vivo imaging experiments.