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  1. 81

    The HIL simulation data flowchart. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
  2. 82

    Hyperparameter Configurations in PPO Training. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
  3. 83

    Main parameters of steering system. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
  4. 84

    Co-simulation architecture. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
  5. 85

    Overall framework diagram of the study. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
  6. 86

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
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    R codes and curated dataset for “EnoLEX: A Diachronic Lexical Database for the Enggano Language” by Gede Primahadi Wijaya Rajeg (14592023)

    Published 2025
    “…</p><blockquote><b><i>EnoLEX</i></b><i> represents a network of independent research materials consisting of a </i><a href="https://doi.org/10.25446/oxford.28295648.v1" rel="noreferrer" target="_blank"><i>source dataset</i></a><i>, this repository of source R codes and the curated data, the </i><a href="https://enggano.shinyapps.io/enolex/" rel="noreferrer" target="_blank"><i>online database</i></a><i>, and a conference </i><a href="https://doi.org/10.25446/oxford.27013864.v1" rel="noreferrer" target="_blank"><i>paper</i></a><i>.…”
  11. 91

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
    “…In recent years, manual model tuning has been gradually replaced by automated parameter search using a variety of different tools and methods. …”
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    JASPEX model by Olugbenga OLUWAGBEMI (21403187)

    Published 2025
    “…</p><p dir="ltr">We wrote new sets of python codes and developed python programming codes to rework on the map to generate the coloured map of Southwest Nigeria from the map of Nigeria (which represented the region of our study). …”
  15. 95

    <b>Data and Code from 'The Perfect and Legitimate Bribe': A Transparent Record of Human-AI Collaboration in Legal Scholarship</b> by Joshua Stern (21748181)

    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. …”
  16. 96

    Data and code from: Hatchery-reared coho salmon develop less otolith deformities in tanks with alternating water flow directions by Leigh Gaffney (1389855)

    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> by Stefano Zucca (21686006)

    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. …”
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