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Showing 1 - 12 results of 12 for search '(( python after implementing ) OR ( python time implementation ))~', query time: 0.31s Refine Results
  1. 1
    Overview of the implemented simulation tool and training framework in Diffrax.

    Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

    Published 2025
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  2. 2
    Analysis of convergence properties for a collection of SBML models.

    Analysis of convergence properties for a collection of SBML models. by Paul van Lent (16876977)

    Published 2025
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  3. 3
    Jaxkineticmodel allows for hybridizing kinetic models with neural networks.

    Jaxkineticmodel allows for hybridizing kinetic models with neural networks. by Paul van Lent (16876977)

    Published 2025
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  4. 4
    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <i>τ</i>. The burst frequency , the mean burst size and . (B) Refractory model simulation results ( samples). The gene has three states, , and , and can switch from one state to another. Moreover, nascent mRNA is produced only when the gene is in state . The parameters are , , , and <i>τ</i> = 1.

    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

    Published 2025
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  5. 5
    Tracking module training details.

    Tracking module training details. by Khelina Fedorchuk (19130089)

    Published 2025
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  6. 6
    Segmentation module training details.

    Segmentation module training details. by Khelina Fedorchuk (19130089)

    Published 2025
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  7. 7
    Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats

    Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats by Raul MATSUSHITA (10276562)

    Published 2024
    “…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …”
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  8. 8
    Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications，DOI：10.1038/s41467-024-53943-6

    Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications，DOI：10.1038/s41467-024-53943-6 by Xiao-Xiao Wang (2447920)

    Published 2024
    “…Specifically, run this *.xml file using BEAST six times. Then, output of the six runs was combined and TreeAnnotator was used to summarize divergence time.…”
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  9. 9
    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event

    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

    Published 2025
    “…The full implementation is detailed in the accompanying Python script (Imputation_Air_Pollutants_NABEL.py). …”
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  10. 10
    MSc Personalised Medicine at Ulster University

    MSc Personalised Medicine at Ulster University by Steven Watterson (100045)

    Published 2025
    “…</p><p dir="ltr">MSc Personalised Medicine is a Master’s programme that can be taken in 1 year full-time or across 2 years part-time. Both full-time and part-time programmes have two intakes and can be started in September or January.…”
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  11. 11
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. …”
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  12. 12
    Core data

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. …”
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