Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…</p><p dir="ltr">This repository contains code to accompany the paper:</p><p><br></p><p dir="ltr">Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS</p><p><br></p><p dir="ltr">Consult the paper for further details and explanation of what is included in this repository.…”

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Fitting a feast/famine cycle to a glycolysis model. by Paul van Lent (16876977)

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

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

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Overview of the SBML models used in this study. The collection of models was retrieved from Biomodels [43] and a previously reported collection of SBML benchmark models [11]. The n... by Paul van Lent (16876977)

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Supplementary data for PCI-based pavement modelling: code, presentation, and additional analysis by Azam Amir (21505033)

“…<p dir="ltr"><br>This is data for PCI-based pavement modeling: code, presentation, and analysis :</p><p dir="ltr">· A link to the Python code used in the analysis,</p><p dir="ltr">· Presentation slides summarizing key findings, and</p><p dir="ltr">· Analysis results.…”

PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

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Code interpreter with LLM. by Jin Lu (428513)

“…<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. …”

Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

“…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

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Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

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PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

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Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

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List of Abbreviations by Gursimran Singh (575288)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

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