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Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf
Published 2023“…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …”
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143
PySHS: Python Open Source Software for Second Harmonic Scattering
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. …”
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144
Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide
Published 2022“…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …”
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145
Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability"
Published 2025“…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …”
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146
Table_2_XCast: A python climate forecasting toolkit.docx
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. …”
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147
Table_1_XCast: A python climate forecasting toolkit.docx
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. …”
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148
Table_2_XCast: A python climate forecasting toolkit.docx
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. …”
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149
Table_1_XCast: A python climate forecasting toolkit.docx
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. …”
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150
NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology
Published 2022“…To support OED investigations, the NLoed package implements maximum likelihood fitting and diagnostic tools, providing a comprehensive modeling workflow. …”
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151
Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020.
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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Comparative features of CF simulation tools.
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. …”
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155
Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Published 2025“…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”
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156
Connecting a T1DM closed-loop algorithm written in python code to the development platform though the nexus communicator plugin.
Published 2020“…<p>The Python code implements an interface class to connect to the Platform. …”
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157
Python code and Excel data for machine learning integrated life cycle sustainability analysis of pyrolysis and hydrothermal carbonization of animal manure
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. …”
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158
How RAG work.
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. …”
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159
Video5_SITCoM: SiRGraF Integrated Tool for Coronal dynaMics.mov
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. …”
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Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains.
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.…”