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model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
code representing » model representing (Expand Search), models representing (Expand Search), tpd representing (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 representing » model representing (Expand Search), models representing (Expand Search), tpd representing (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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141
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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142
Smart contract and interface code for Nature Energy "A general form of smart contract for decentralised energy systems management"
Published 2024“…This provides the modelled electricity network cost data, the smart contract code, and the Python interface scripts described in the Nature Energy Paper "A general form of smart contract for decentralised energy systems management." …”
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143
Number of tweets collected over time.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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144
Descriptive measures of the dataset.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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145
Corpora from the articles in order of size.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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146
Media information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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147
Information from interactions.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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148
Table of the database statistical measures.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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149
Tweets information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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150
Examples of tweets texts (Portuguese).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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151
Methodological flowchart.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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152
Number of tweets collected per query and type.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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153
Examples of tweets texts (English).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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154
Users information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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155
<b>Data and Code from 'The Perfect and Legitimate Bribe': A Transparent Record of Human-AI Collaboration in Legal Scholarship</b>
Published 2025“…</p><p dir="ltr">For optimal viewing of `collated-anonymized.txt`, a text editor that can handle long lines without word wrapping is recommended to preserve the indentation that represents the conversational branching structure.</p><p><br></p><p dir="ltr">### **Running Code/Software**</p><p dir="ltr">The provided scripts (`collator-ipynb.txt` and `sentence-ancestry-ipynb.txt`) are Jupyter Notebooks and require a Python 3 environment to run. …”
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156
The Improved Hydro-Sediment Numerical Model and Machine Learning Models
Published 2025“…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…”
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157
Data and code from: Hatchery-reared coho salmon develop less otolith deformities in tanks with alternating water flow directions
Published 2025“…</li><li>Measurements were generated by manually classifying otolith regions in Adobe Photoshop and calculating pixel coverage using a Python script.</li><li>Representative otolith images and details of the classification workflow are provided in the main manuscript figures and Methods section. …”
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Data and Code repository for the paper: <b>Visual loom caused by self- or object-movement elicits distinct responses in mouse superior colliculus</b>
Published 2025“…Binned rates were transformed into z-scores by normalizing to the mean and standard deviation of firing rate across all stimulus conditions.</p><h2>Code Description</h2><p dir="ltr">Shared code contains both MATLAB and Python functions used in the analysis provided in the study. …”