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  1. 141
  2. 142

    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

    Published 2023
    “…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …”
  3. 143

    PySHS: Python Open Source Software for Second Harmonic Scattering by Lotfi Boudjema (4177942)

    Published 2020
    “…The PySHS package is a new python open source software tool which simulates the second harmonic scattering (SHS) of different kinds of colloidal nano-objects in various experimental configurations. …”
  4. 144

    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

    Published 2022
    “…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …”
  5. 145

    Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" by Tian-Ren Jin (18781930)

    Published 2025
    “…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …”
  6. 146

    Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 2022
    “…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”
  7. 147

    Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 2022
    “…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”
  8. 148

    Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 2022
    “…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”
  9. 149

    Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 2022
    “…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”
  10. 150

    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

    Published 2022
    “…To support OED investigations, the NLoed package implements maximum likelihood fitting and diagnostic tools, providing a comprehensive modeling workflow. …”
  11. 151

    Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020. by Ricardo Jorge Pais (3627494)

    Published 2020
    “…In this online repository we include the code for implementing the mathematical model and running the simulations using PLAS software. …”
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  14. 154

    Comparative features of CF simulation tools. by Nassim Ataii (17382733)

    Published 2023
    “…<div><p>The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects: PyDNA_CF_Simulator, a Python project featuring a ChatGPT plugin for interactive parsing and simulating experiments; ConstructionFileSimulator, a field-tested Java project that showcases ’Experiment’ objects expressed as flat files; and C6-Tools, a JavaScript project integrated with Google Sheets via Apps Script, providing a user-friendly interface for authoring and simulation of CF. …”
  15. 155

    Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions by Zahir Barahmand (18008947)

    Published 2025
    “…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”
  16. 156

    Connecting a T1DM closed-loop algorithm written in python code to the development platform though the nexus communicator plugin. by Mohamed Raef Smaoui (9865830)

    Published 2020
    “…<p>The Python code implements an interface class to connect to the Platform. …”
  17. 157

    Python code and Excel data for machine learning integrated life cycle sustainability analysis of pyrolysis and hydrothermal carbonization of animal manure by Mohammed Tamim Zaki (17551557)

    Published 2023
    “…<p dir="ltr">The Python code comprises of a framework that integrated machine learning (ML) methods with life cycle sustainability analysis of implementing emerging technologies to recover valuable resources from organic waste streams. …”
  18. 158

    How RAG work. by Jin Lu (428513)

    Published 2025
    “…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
  19. 159

    Video5_SITCoM: SiRGraF Integrated Tool for Coronal dynaMics.mov by Purvi Udhwani (16989342)

    Published 2023
    “…<p>SiRGraF Integrated Tool for Coronal dynaMics (SITCoM) is based on the Simple Radial Gradient Filter used to filter the radial gradient in the white-light coronagraph images and bring out dynamic structures. …”
  20. 160

    Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains. by Giulio Facchini (9031490)

    Published 2025
    “…<p dir="ltr"><b><i>* Cahn-Hilliard simulations *</i></b><br>Finite difference code implementing the modified Cahn Hilliard equation with a forward Euler scheme and the possibility to parallelize the solver using the numba python library.…”