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  1. 4361
    “…To calculate the iohexol clearance rate and the GFR, automated data integration and a result calculation were accomplished by using a custom Python script. Automated result reporting was achieved using a laboratory informatics system (LIS) vendor’s direct media interface. …”
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    Accuracy-Based Glomerular Filtration Rate Assessment by Plasma Iohexol Clearance in Kidney Transplant Donors
  2. 4362
    “…In order to address these key concerns we developed Recombulator-X, a new open-source Python tool. The most challenging issue, namely the running time, was addressed with dynamic programming techniques to greatly reduce the computational complexity of the algorithm. …”
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    Recombulator-X: A fast and user-friendly tool for estimating X chromosome recombination rates in forensic genetics
  3. 4363
    “…The Keras library in Python 3.8.8 was used to train and tune deep learning models. …”
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    A Data-Driven Approach for Fatigue Detection during Running Using Pedobarographic Measurements
  4. 4364
    “…Machine learning analysis was conducted in Python and multivariate regression analysis was conducted in R. …”
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    An Artificial Intelligence Approach to Predicting Unplanned Intubation Following Anterior Cervical Discectomy and Fusion
  5. 4365
    “…Here we introduce RNxQuest, a Python package extension for xQuest, which automates the analysis approach required for CLIR-MS data, providing bespoke, state-of-the-art processing and visualization functionality for this novel data type. …”
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    RNxQuest: An Extension to the xQuest Pipeline Enabling Analysis of Protein–RNA Cross-Linking/Mass Spectrometry Data
  6. 4366
    “…Data cleaning, oversampling, data standardization and other preprocessing operations are done on 900,000 telecom customer personal characteristics and historical behavior data set based on Python language. Appropriate model parameters were selected to build BPNN (Back Propagation Neural Network). …”
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    Early warning of telecom enterprise customer churn based on ensemble learning
  7. 4367
    “…METHODS: To better detect whether a person working at height is wearing PPE or not, this paper first applies field research and Python crawling techniques to create a dataset of people working at height, extends the dataset to 10,000 images through data enhancement (brightness, rotation, blurring, and Moica), and categorizes the dataset into a training set, a validation set, and a test set according to the ratio of 7:2:1. …”
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    YOLOv5s-g(n)Conv: detecting personal protective equipment for workers at height
  8. 4368
    “…This study introduces PTOLEMI: Python-based Tensor Oncological Locator Examining Microfluidic Instruments. …”
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    PTOLEMI: Personalized Cancer Treatment through Machine Learning-Enabled Image Analysis of Microfluidic Assays
  9. 4369
    “…OpenMSCG is modularized in the Python programming framework, which allows users to create and customize modeling “recipes” for reproducible results, thus greatly improving the reliability, reproducibility, and sharing of bottom-up CG models and their applications.…”
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    OpenMSCG: A Software Tool for Bottom-Up Coarse-Graining
  10. 4370
    “…CONCLUSIONS: This study sheds light on the potential shortcut learning opportunities for ML methods that can arise with the state-of-the-art way of simulating AIRR datasets. simAIRR is available as a Python package: https://github.com/KanduriC/simAIRR.…”
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    simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods
  11. 4371
    por Miao, Ying, Shi, Yue, Jing, Hao
    Publicado 2023
    “…This study uses the CSMAR and WIND databases and official website of the National Bureau of Statistics of China to obtain relevant data from 2013 to 2020. Python software was used to crawl corporate annual report data from the CNINFO Website for collation and analysis, obtaining a total of 1261 companies with 9379 sample values. …”
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    Effect of servitization on performance in manufacturing firms: A mediating effect model of digitalisation moderated by ESG performance
  12. 4372
    “…We have used a modified version the Birmingham parallel genetic algorithm (BPGA) for the nanocluster GA search which is then incorporated into distributed evolutionary algorithms in Python (DEAP), an evolutionary computational framework for fast prototyping or technical experiments. …”
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    Cluster-MLP: An Active Learning Genetic Algorithm Framework for Accelerated Discovery of Global Minimum Configurations of Pure and Alloyed Nanoclusters
  13. 4373
    “…The results in this report are entirely reproducible with Python and R scripts available in a publicly accessible repository. …”
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    Temporal Trends in the United States Patent Landscape: Innovation in Cardiology Across Industry and Academia
  14. 4374
    “…We have incorporated AMAS into an open-source, pip-installable Python package that can run as a command-line tool that predicts and adds annotations to species and reactions to an SBML model. …”
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    An automated model annotation system (AMAS) for SBML models
  15. 4375
    “…The collected dataset encompasses a span of 41 months, from 2019 to 2022, and has been obtained from 21 hospitals and health centers. Python Sankey diagrams were used to develop and build patient flow visualizations. …”
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    Developing a patient flow visualization and prediction model using aggregated data for a healthcare network cluster in Southwest Ethiopia
  16. 4376
    “…To help overcome these limitations, we developed replicAnt, a configurable pipeline implemented in Unreal Engine 5 and Python, designed to generate large and variable training datasets on consumer-grade hardware. replicAnt places 3D animal models into complex, procedurally generated environments, from which automatically annotated images can be exported. …”
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    replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine
  17. 4377
    “…Cell PLasticity Analysis TOol (cellPLATO) is a Python-based analysis software designed for measurement and classification of diverse cell behaviours based on clustering of parameters of cell morphology and motility. cellPLATO is used after segmentation and tracking of cells from live cell microscopy data. …”
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    cellPLATO: an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory data
  18. 4378
    por Althobaiti, Maha Jarallah
    Publicado 2023
    “…It is unique in that it focuses on the Saudi dialect and addresses topics related to the COVID-19 pandemic, making it the first and largest of its kind. Python's packages were utilized to collect online posts related to the COVID-19 pandemic from three sources: Twitter, YouTube, and online newspaper comments between March 2020 and March 2022. …”
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    An open-source dataset for arabic fine-grained emotion recognition of online content amid COVID-19 pandemic
  19. 4379
    “…We discuss necessary and sufficient conditions for the global identification of arbitrary composed CFA models and provide a Python code to check the identification status for an illustrative example. …”
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    A General Theorem and Proof for the Identification of Composed CFA Models
  20. 4380
    “…The experimental study is processed through various scenarios, using Python as a programming language and a public database obtained from Guangzhou Women and Children’s Medical Centre. …”
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    An improvement of the CNN-XGboost model for pneumonia disease classification
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