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  1. 5721
    “…We have implemented this highly detailed and complex S1 model in NetPyNE, using the data available in the Neocortical Microcircuit Collaboration Portal. NetPyNE provides a Python high-level interface to NEURON and allows defining complicated multiscale models using an intuitive declarative standardized language. …”
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    Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE
  2. 5722
    por Penfold, Scott N.
    Publicado 2022
    “…Particle fluence was converted to operational and protection radiation safety quantities with a custom python script for assessment of instantaneous and annual doses, respectively. …”
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    Radiation shielding assessment of high‐energy proton imaging at a proton therapy facility
  3. 5723
    “…We illustrate this principle by performing real-time inference of random walk properties of recorded trajectories with a pre-trained Graph Neural Network running in Python.…”
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    Towards Human in the Loop Analysis of Complex Point Clouds: Advanced Visualizations, Quantifications, and Communication Features in Virtual Reality
  4. 5724
    por Xifaras, NC, Roubou, E, Altsitzioglou, P
    Publicado 2022
    “…Here, we use Google Maps services to map the travel times from central Athens areas to on-duty hospitals METHODS: We built our code in the Python programming language, using the Google Maps Distance Matrix API to perform real-time trip duration calculations based on real-life data. …”
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    Analysing hospital travel times in central Athens using Google Maps services: Nikolaos Christos Xifaras
  5. 5725
    “…BioAid, an open-source biological inspired hearing aid algorithm, is used after conversion to Python. The proposed method consists of two main parts: classification of auditory scenes and selection of hearing aid tuning settings based on user experiences. …”
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    Automatic User Preferences Selection of Smart Hearing Aid Using BioAid
  6. 5726
    “…We performed topic detection using BERTopic and named entity recognition to identify the leading subjects and actors mentioned in the context of vaccines. We used the Vader Python module to perform sentiment polarization quantification of all collated English-language articles. …”
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    Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study
  7. 5727
    “…RNA raw counts data was merged by Python. Batch processing of univariate Cox regression analysis was performed to preliminary identify the genes associated with prognosis. …”
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    MAN2A1 predicts prognosis and progression through cancer-related pathways in colorectal cancer
  8. 5728
    por Abdulrahman, Bilal, Zhu, Zhigang
    Publicado 2022
    “…All implementation is in real time and is performed on Python. Experimental results are provided to validate our proposed method quantitatively and qualitatively on public domain datasets using only a single CCTV camera feed as input. …”
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    Real-time pedestrian pose estimation, tracking and localization for social distancing
  9. 5729
    “…The algorithm is implemented in an open source Python program called VirPool. We evaluate the accuracy of VirPool on several simulated and real sequencing data sets from both Illumina and nanopore sequencing platforms, including wastewater samples from Austria and France monitoring the onset of the Alpha variant. …”
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    VirPool: model-based estimation of SARS-CoV-2 variant proportions in wastewater samples
  10. 5730
    “…This article provides a new Python program that calculates retinal contrast. Equal scene luminances become unequal retinal contrasts. …”
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    Edges and gradients in lightness illusions: Role of optical veiling glare
  11. 5731
    “…The current study demonstrates automated depth data collection frameworks and a Python implementation available to the community, which can help facilitate the deployment of computer vision systems for dairy cows.…”
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    Automated acquisition of top-view dairy cow depth image data using an RGB-D sensor camera
  12. 5732
    “…After segmenting the lesion area, 3D radiomic signatures were extracted using the PyRadiomics package v. 3.0.1 implemented in Python (https://pyradiomics.readthedocs.io/en/latest/index.html), and the corresponding radiological features were collected. …”
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    Development of a novel nomogram-based model incorporating 3D radiomic signatures and lung CT radiological features for differentiating invasive adenocarcinoma from adenocarcinoma in situ and minimally invasive adenocarcinoma
  13. 5733
    “…METHODS: All tweets posted between 2011 and 2019 were gathered using “snscrape” on Python 3.8 while searching for the phrase “idiopathic pulmonary fibrosis”. …”
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    Content Analysis of Idiopathic Pulmonary Fibrosis-related Information on Twitter
  14. 5734
    “…Data was processed with the GENEActiv manufacturer software, the Pampro package in Python and the GGIR package in R. For the latter, two sets of thresholds “White” and “MRC” defining levels of PA and two versions (1.5–9 and 1.11–1) for the “MRC” threshold were used. …”
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    Comparison of different software for processing physical activity measurements with accelerometry
  15. 5735
    “…An open-source package PyRadiomics in Python was used to extract radiomics features from the volume of interests. …”
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    Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics
  16. 5736
    “…Here, we report a completely re-implemented version of McClintock written in Python using Snakemake and Conda that improves its installation, error handling, speed, stability, and extensibility. …”
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    Reproducible evaluation of transposable element detectors with McClintock 2 guides accurate inference of Ty insertion patterns in yeast
  17. 5737
    por Liu, C S, Lin, Z X, Kroeker, K
    Publicado 2023
    “…METHOD: In this observational study, the gender of the first and last author of gastroenterology RCTs from January 1, 2011 to December 31, 2021 was assessed. Python (v3.8.12) was used to extract publication data from PubMed. …”
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    A92 FEMALE AUTHORSHIP IN GASTROENTEROLOGY RANDOMIZED CONTROL TRIALS: 2011 - 2021
  18. 5738
    “…Five ML models (SVM, KNN, GB, RF, and BRF) and logistic regression (LR) models were constructed by Python. The model was internally validated by five-fold stratified cross-validation and was validated with a 30% holdout test dataset. …”
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    Prediction of Prednisolone Dose Correction Using Machine Learning
  19. 5739
    “…Statistical analyses were performed in Python (version 3.6.5; Python Software Foundation, Beaverton, Ore); important packages included numpy, pandas, and scipy. …”
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    Poster 242: Deep Learning for Identifying Patellofemoral Measurements Associated with Cartilage Lesions on MRI
  20. 5740
    por Marsili, Aurélien
    Publicado 2013
    “…The whole instrument uses ROOT objects to send SQL queries to the databases, as well as java API, and is coded in Python. A short glossary of the acronyms used here can be found at the end, before the bibliography.…”
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    Identification of LHC beam loss mechanism : a deterministic treatment of loss patterns
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