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1 to 10 of 20,061 Results
Jul 24, 2025 - demoa
Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V5
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...
TAR Archive - 175.7 KB - MD5: 4d54aa0e8a52e5d94949744cfd3c8c21
Generic human spine model, ready for demoa version 3.2
Jul 16, 2025 - demoa
Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/DARUS-2550, DaRUS, V7
For more information, such as installation, requirements and user guide, please see the demoa manual. The development of this package was supported by “Deutsche Forschungsgemeinschaft” (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016.
Gzip Archive - 45.1 MB - MD5: 42e1fb87c6ed06b369e746ae5416c881
New version 3.2
Adobe PDF - 874.7 KB - MD5: 5adc0b34b22fc5b89fa1a31336987d6d
Manual of new version 3.2
Jul 15, 2025 - Usability and Sustainability of Simulation Software
Neubauer, Felix, 2025, "Replication Data for: AI-assisted JSON Schema Creation and Mapping", https://doi.org/10.18419/DARUS-5157, DaRUS, V1, UNF:6:cu/nriFjeIsGtYAoB7K7fw== [fileUNF]
The steps and sources of the application example from the paper + the JSONata instructions for the LLM. Recommended: download all files and open the README.md with a markdown editor/viewer. The README.md document shows the steps performed in the application example and also corresponding screenshots and input and output documents. The screenshots a...
JSON - 1.8 KB - MD5: b360dbbc2b0c7bc029451734948907d6
JSON - 4.8 KB - MD5: 86250b46444689a502d3c932bfd78134
JSON - 1.2 KB - MD5: 84d1cf6f8502c539bcef755ba83118e9
JSON - 5.1 KB - MD5: b5ba90c7fc33d0c5ae8ca5fbdb5f536c
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