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  • The replication package of the paper "A Study on the Accuracy of OCR Engines for Source Code Transcription from Programming Screencasts" including the dataset, results and tools
    Data Types:
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    • File Set
  • Planning for power systems with high penetrations of variable renewable energy requires higher spatial and tempo- ral granularity. However, most publicly available test systems are of insufficient fidelity for developing methods and tools for high- resolution planning. This paper presents methods to construct open-access test systems of high spatial granularity to more accurately represent current infrastructure and high temporal granularity to represent variability of demand and renewable resources. To demonstrate, a high-resolution test system representing the United States is created using only publicly available data. This test system is validated by running it in a production cost model, with results validated against historical generation to ensure that they are representative. The resulting open source test system can support power system transition planning and aid in development of tools to answer questions around how best to reach decarbonization goals, using the most effective combinations of transmission expansion, renewable generation, and energy storage. A paper describing the process of developing the dataset is available at https://arxiv.org/abs/2002.06155.
    Data Types:
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  • Madrigal instrument support for the pysat ecosystem
    Data Types:
    • Software/Code
    • File Set
  • This release, while missing instructions, contain all the code working prepared to be dockerized.
    Data Types:
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  • Project Spectra is a voice training app for transgender people. It is built in NativeScript-Vue.js; the current release is only compatible with Android devices. The app contains four exercises, warmups, pitch tracking and feedback, and customizable goal-setting. It was built by Project Spectra, an online collective interested in vocal gender modification software, as part of a community-based collaborative design project. The project was initiated by Alex Ahmed as a component of her doctoral dissertation work at Northeastern University. Significant development, design, and ideation work was conducted by Bryan Kok, Coranna Howard, Klew Still, and the many other members of Project Spectra's Discord community. To install using the APK: -You may need to change the security settings on your device to allow "unknown apps": https://www.technipages.com/where-did-allow-installation-from-unknown-sources-go-in-android -Download and open "ProjectSpectra-BetaTest-Oct2019.apk" on your Android device. To set up the development environment and the required plugins (included with the source code), please follow the instructions outlined in the file README.md.
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  • This is the version that is used to produce results in the COSMIC paper: https://arxiv.org/abs/1911.00903 We have adjusted the way we handle mass loss due to a SN. We have adjusted the way that the output time-resolution is handled. A user can now ask for different time resolutions during difference stages of the evolution. See the docs for examples. We have added the ability to restart a binary in the middle of the evolution. A user can select a point in the bpp or bcm array and re-run the evolution to the end, getting identical results (with the caveat of restarting after one of the objects has undergone a SN then the evolution is not perfectly re-produced. See docs for an example of re-starting the evolution We have updated the sampling code to include (verified) sampling methods for p_orb, ecc, masses for the independent sampler method (the multidim method is unchanged), There are plots in the docs highlighting the resulting distributions. We have changed the way we report kick information for the evolution. It is now its own returned output from running Evolve.evolve. So you now get the initC, bpp, bcm, kick_info. This saves a lot on memory as the kick_info array is a 2 dimensional array with the following properties, see the docs as well. kick_info[i,1]: snstar of exploding star kick_info[i,2]: disrupted (0=no, 1=yes) kick_info[i,3]: magnitude of the natal kick kick_info[i,4-5]: phi and theta (in the frame of the exploding star) kick_info[i,6]: eccentric anamoly kick_info[i,7-9]: change in 3D systemic velocity of the binary, or the change in 3D velocity of snstar=1 if the system is disrupted kick_info[i,10]: magnitude of systemic velocity of the binary if bound or magnitude of total velocity of snstar=1 if disrupted, accounting for both SNe kick_info[i,11-13]: change in 3D velocity of the snstar=2 if system is disrupted kick_info[i,14]: magnitude of velocity of snstar=2 if disrupted, accounting for both SNe kick_info[i,15]: (total) tilt of the orbital plane after each SN w.r.t. the original angular momentum axis after each SN kick_info[i,16]: azimuthal angle of the orbital plane w.r.t. spins kick_info[i,17]: random seed at the start of call to kick.f Finally, we now update the natal_kick_array that is reported in the returned initC table from running Evolve.evolve with the following parameters updated to what they actually were during the evolution of the binary (this also has two rows one for each SN) NATAL_KICK_COLUMNS = ['natal_kick', 'phi', 'theta', 'eccentric_anomaly', 'randomseed'] `
    Data Types:
    • Software/Code
    • File Set
  • test
    Data Types:
    • Software/Code
    • File Set
  • This is the version that is used to produce results in the COSMIC paper: https://arxiv.org/abs/1911.00903 We have adjusted the way we handle mass loss due to a SN. We have adjusted the way that the output time-resolution is handled. A user can now ask for different time resolutions during difference stages of the evolution. See the docs for examples. We have added the ability to restart a binary in the middle of the evolution. A user can select a point in the bpp or bcm array and re-run the evolution to the end, getting identical results (with the caveat of restarting after one of the objects has undergone a SN then the evolution is not perfectly re-produced. See docs for an example of re-starting the evolution We have updated the sampling code to include (verified) sampling methods for p_orb, ecc, masses for the independent sampler method (the multidim method is unchanged), There are plots in the docs highlighting the resulting distributions. We have changed the way we report kick information for the evolution. It is now its own returned output from running Evolve.evolve. So you now get the initC, bpp, bcm, kick_info. This saves a lot on memory as the kick_info array is a 2 dimensional array with the following properties, see the docs as well. kick_info[i,1]: snstar of exploding star kick_info[i,2]: disrupted (0=no, 1=yes) kick_info[i,3]: magnitude of the natal kick kick_info[i,4-5]: phi and theta (in the frame of the exploding star) kick_info[i,6]: eccentric anamoly kick_info[i,7-9]: change in 3D systemic velocity of the binary, or the change in 3D velocity of snstar=1 if the system is disrupted kick_info[i,10]: magnitude of systemic velocity of the binary if bound or magnitude of total velocity of snstar=1 if disrupted, accounting for both SNe kick_info[i,11-13]: change in 3D velocity of the snstar=2 if system is disrupted kick_info[i,14]: magnitude of velocity of snstar=2 if disrupted, accounting for both SNe kick_info[i,15]: (total) tilt of the orbital plane after each SN w.r.t. the original angular momentum axis after each SN kick_info[i,16]: azimuthal angle of the orbital plane w.r.t. spins kick_info[i,17]: random seed at the start of call to kick.f Finally, we now update the natal_kick_array that is reported in the returned initC table from running Evolve.evolve with the following parameters updated to what they actually were during the evolution of the binary (this also has two rows one for each SN) NATAL_KICK_COLUMNS = ['natal_kick', 'phi', 'theta', 'eccentric_anomaly', 'randomseed'] `
    Data Types:
    • Software/Code
    • File Set
  • thanks mostly to @apast for modernizing the Pytest and CLI using src/ package layout
    Data Types:
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    • File Set
  • Matlab code to generate figures for the manuscript 'Cizeron, M.*, Qiu, Z. *, Koniaris, B., Gokhale, R., Komiyama, N., Fransén, E., Grant, S.G.N. (2020). A brain-wide atlas of synapses across the mouse lifespan. (* Equal contribution)'.
    Data Types:
    • Software/Code
    • File Set