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This Python 3 module enables solving the macroscopic Maxwell equations in complex dielectric materials.The material properties are defined on a rectangular grid (1D, 2D, or 3D) for which each voxel defines an isotropic or anistropic permittivity. Optionally, a heterogeneous (anisotropic) permeability as well as bi-anisotropic coupling factors may be specified (e.g. for chiral media). The source, such as an incident laser field, is specified as an oscillating current-density distribution.
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This repository contains an ArcGIS Toolbox and associated Python scripts for the following research article published in the International Journal of Applied Earth Observation and Geoinformation.Wang, S., Wu, Q.*, & Ward, D. (2017). Automated delineation and characterization of drumlins using a localized contour tree approach. International Journal of Applied Earth Observation and GeoInformation, 62, 144-156. https://doi.org/10.1016/j.jag.2017.06.006GitHub Repository: https://github.com/giswqs/Drumlin-Extraction-ToolboxToolbox Demo: https://www.youtube.com/watch?v=hzx3bUap_5E
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R code to perform the null model analysis as described in Bellisario et al. (2019).
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Scripts and files for "Multiple macroevolutionary routes to becoming a biodiversity hotspot" by J. Igea and A.J. TanentzapFor more updated version please go to https://github.com/javierigea/hotspots_mambird_paper
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data for the Theoretical Population Biology article
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  • Software/Code
Identification of species-wide metabolic influences inside a microbial community. The provided code will evaluate the metabolic effects of one microbial entity on its community members. Metabolic influence matrix (Ipq-matrix) will be generated upon successful execution of the code, which will provide a system-level understanding of the microbial metabolic interactions.
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Lobby Lidar ROS bag
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  • Software/Code
Evaluates the transfer function for particle mass analyzers, including the centrifugal particle mass analyzer (CPMA) and aerosol particle mass analyzer (APM). ------------ The attached MATLAB functions and scripts are intended to reproduce the results of the associated paper (submitted). They evaluate the transfer function of particle mass analyzers (PMAs), including the centrifugal particle mass analyzer (CPMA) and aerosol particle mass analyzer (APM). This is done using a novel set of expressions derived from particle tracking methods and using a finite difference method. Information on each file is given as header information in each file, and only a brief overview is provided here. Code description and componentsFunctions to evaluate transfer functions (tfer_*.m)The core of this program is a set of functions evaluating the transfer function for the various cases presented in the associated work, that is the functions featuring the names tfer_*.m. The file names feature case letters, corresponding to different assumptions about the particle migration velocity and flow conditions discussed in the associated work, as well as diff and pb suffixes for those transfer function that include diffusion and assume parabolic axial flow conditions, respectively. The functions share common inputs: m_star - the setpoint mass, m - the masses at which the transfer function will be evaluated, d - the mobility diameter (either as a scalar or as a vector with the same length as the masses at which the transfer function is to be evaluated), z - the integer charge state (either as a scalar or as a vector with the same length as the masses at which the transfer function is to be evaluated), prop - a struct that contains the properties of the particle mass analyzer (a sample script to generate this quantity is include as prop_PMA.m), and varargin (optional) - name-value pairs to specify either the equivalent resolution, inner electrode angular speed, or voltage. The functions also often share common outputs: Lambda - the transfer function, and G0 - the mapping function, transforming a finial radius to the corresponding position of the particle at the inlet. Note that in these functions, there is a reference to the function (get_setpoint.m). This function parses the inputs d and z and then evaluates the setpoint and related properties, including C0, alpha, and beta. Demonstration script (main.m)This script is included to demonstrate evaluation of the transfer function over multiple cases. Figure 2 that is produced by this procedure will resemble those given in the associated work. Other scripts, main_*.m are intended to replicate figures in other works and to consider multiple charging. Remaining functionsThe remaining functions help in transfer function evaluation, with the details provided in each file. ------------ LicenseThis software is licensed under an MIT license (see the corresponding file for details). ContactThis program was written by Timothy A. Sipkens (tsipkens@mail.ubc.ca) while at the University of British Columbia.
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The file is the script used to find the genes co-occurring with the ARGs detected. (RB 4 kb)
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This upload consists of code and proofs to accompany our paper submission to SAFECOMP 2019. The included README files should provide enough information to use our code and scripts to generate proofs of your own, most of which will likely require some degree of manual intervention to finish (some more than others). The current version has a fixed readme with a mention of an additional Python package needed (collections_extended).
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