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model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
code presented » model presented (Expand Search), side presented (Expand Search), order presented (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
code presented » model presented (Expand Search), side presented (Expand Search), order presented (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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161
Example Diagram.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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162
Aggregate Measurement Image in IPP.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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163
Internal changes of the specimen of 0.82 to 0.84.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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164
Internal changes of the specimen of 0.86 to 0.88.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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165
Internal changes of the specimen of 0.7 to 0.75.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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166
Internal changes of the specimen of 0.87 to 0.9.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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167
Internal changes of the specimen of 0.74 to 0.76.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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168
Internal changes of the specimen 1.55 to 1.60.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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169
Internal changes of the specimen of 1.70 to 1.75.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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170
Internal changes of the specimen of 0.89 to 1.
Published 2025“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”
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171
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172
Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction
Published 2025“…</p><p dir="ltr"><b>LLM Data Extractor optuna repo</b> is a Python framework for generating and evaluating clinical text predictions using large language models (LLMs) like <code>qwen2.5</code>. …”
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173
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174
Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
Published 2025“…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …”
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175
Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization
Published 2025“…We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. …”
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176
Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization
Published 2025“…We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. …”
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177
Number of tweets collected over time.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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178
Descriptive measures of the dataset.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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179
Corpora from the articles in order of size.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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180
Media information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”