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wzaielamri / Optimizing BioTac SimulationThis repository contains the code and the appendix for the paper Optimizing BioTac Simulation for Realistic Tactile Perception by Wadhah Zai El Amri and Nicolás Navarro-Guerrero.
orbeckst / G Countg_count and g_flux are simple Gromacs tools that are primarily useful to characterize movement of water inside a cylindrical region. This can be the pore of an ion channel or a carbon nanotube. g_count returns statistics about how many atoms of a certain type (for instance, water oxygens) occupied the region of interest. g_flux calculates the flux through a cylindrical region. g_zcoord is a dumb piece of code that just prints z-coordinates of atoms in a cylindrical region; it should be easy enough to add additional functionality. g_flux is more sophisticated than g_count and gives more detailed information but you are encouraged to check that the reported results agree with what you can see in your system. For instance, get the indices of translocating particles and then track them in a trajectory viewer such as VMD. Detailed documentation can be found in the help functions for each program (run it with -h). Background information (slighly outdated for the current g_count-gmx4.5 release) can be found in the appendix (pdf) of my thesis. When you use g_flux/g_count please cite * O. Beckstein and M. S. P. Sansom, The influence of geometry, surface character and flexibility on the permeation of ions and water through biological pores, Phys. Biol. 1 (2004), 42–52. doi:10.1088/1478-3967/1/1/005
Yaphet-Chen / Scientific Software Development With FortranSource code for Diffusion Monte Carlo Algorithm in the appendix
DanCunnington / NSILCode and technical appendix for the paper "Neuro-Symbolic Learning of Answer Set Programs from Raw Data".
stefanodallapalma / TSE 2020 05 0217Appendix of paper "Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics" accepted at Transactions on Software Engineering.
myrho / Prezi To Elm In 99 LocSource code appendix to a conference talk
smarttransit-ai / EnergyOptCode AAAIEnergy Optimization Code submitted as a part of the appendix to the AAAI 2021
FedGTL / FGTLSource code and appendix for paper "FGTL: Federated Graph Transfer Learning for Node Classification".
NorskHelsenett / DevBlogA place to put example code, appendixes, etc. for blog posts made in the context of NHN
coatless-quarto / Regurgitate[Early-Release] Automatic Code Appendices for Quarto Documents with or without results included sorted by language or order.
DamingYANG1991 / PyFISCHERPLOTThis repository is used for downloading the PyFISCHERPLOT code which could construct Fischer plots utilizing geological data. The appendixes (user manual, test data file, output file, demo video, computer code availability) could also be downloaded here.
admin1i / Https Apps.facebook.com Artexas By Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. 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laura-dietz / Open Relation Extraction For Support Passage RetrievalOnline Appendix with Data and Code for SIGIR 2017 paper.
nikola-m / Practical Genetic AlgorithmFortran version of the genetic algorithm test code from Appendix III of Haupt and Haupt - "Practical Genetic Algorithms", 2nd e.d., 2004.
shumanzhuang / GRANCEThe appendix and code of GRANCE in our paper: Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement, AAAI 2025.
Faruman / Comparison FinancialDataGenerationThe following repository contains the online appendix for the paper "Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data". It not only provides the python code for all experiments conducted but also background information for the literature review.
