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  1. 5161
    “…Therefore, to better understand the interplay between mechanical and electrical stimulation during these processes, strain-adaptive bone remodelling models without and with considering the piezoelectric effect were simulated using the Python-based open-source software framework. To discretise numerical attributes, the finite element method (FEM) was used for the spatial variables and an explicit Euler scheme for the temporal derivatives. …”
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    Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework
  2. 5162
    “…The paper highlights the design & development of i-DIA, a python-based web API to facilitate the interoperability of AMR data by automatically importing the bulk of medical data from CSV files into generic data management and analysis system. …”
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    Design & development of customizable web API for interoperability of antimicrobial resistance data
  3. 5163
    “…RESULTS: Here, we present Uphyloplot2, a python script that generates phylogenetic plots directly from inferred RNA-seq data, or any Newick formatted dendrogram file. …”
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    Uphyloplot2: visualizing phylogenetic trees from single-cell RNA-seq data
  4. 5164
    por Bond, Andrew D.
    Publicado 2021
    “…Typical ranges of thermal expansion coefficients are established for organic molecular crystals in the Cambridge Structural Database. The CSD Python API is used to extract 6201 crystal structures determined close to room temperature and at least one lower temperature down to 90 K. …”
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    A survey of thermal expansion coefficients for organic molecular crystals in the Cambridge Structural Database
  5. 5165
    “…METHODS: Social media posts were used for this research. Using Python, we have collected social media posts of Indians focusing on side effects of COVID -19 vaccines. …”
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    Indian citizen's perspective about side effects of COVID-19 vaccine – A machine learning study
  6. 5166
    “…The proposed estimation model is simulated using the Python Programming language on the collected data. …”
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    A study on the efficiency of the estimation models of COVID-19
  7. 5167
    “…TRACS is implemented in Python and available at http://github.com/BML-cbnu/TRACS/.…”
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    Inferring transcriptomic cell states and transitions only from time series transcriptome data
  8. 5168
    “…A publicly available, user-friendly graphical user interface implemented in Python is used to interface the hardware. Video and audio data are recorded in synchrony and are subsequently fully automatically analyzed. …”
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    OpenHSV: an open platform for laryngeal high-speed videoendoscopy
  9. 5169
    “…Aneurysms were reconstructed and morphological features were extracted by the Pyradiomics in python. Multiple logistic regression was performed to develop the nomogram. …”
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    Development and validation of an institutional nomogram for aiding aneurysm rupture risk stratification
  10. 5170
    “…In this study, we used The Cancer Genome Atlas (TCGA) database, UALCAN, Python crawler, miRTargetLink Human, Database for Annotation, Visualization, and Integrated Discovery (DAVID), micBioinformatic online tool, and Cytoscape software (3.7.1). …”
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    Exosomal circRNA in Digestive System Tumors: The Main Player or Coadjuvants?
  11. 5171
    “…METHODS: The study will be performed using Python programming software. The system will consist of six main steps: (1) data import, (2) exclusion of duplicates, (3) exclusion of non-articles, (4) article reading and model creation using artificial neural network, (5) comparison of the models, and (6) system sharing. …”
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    Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model
  12. 5172
    “…IsoSplitter is developed and implemented in Python 3.5 using the Linux platform and is freely available at https://github.com/Hengfu-Yin/IsoSplitter.…”
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    IsoSplitter: identification and characterization of alternative splicing sites without a reference genome
  13. 5173
    “…In order to overcome this constraint, and to help the research community in general, in this study, a python-based pattern matching interface was developed so as to be able to both profile and map sRNAs on a circular genome. …”
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    sRNA Profiler: A User-Focused Interface for Small RNA Mapping and Profiling
  14. 5174
    “…We developed a novel Python package, ARtificial CHemistry NEtwork Toolbox (ARCHNET), to study string chemistries using tools from the field of stoichiometric constraint-based modeling. …”
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    Stoichiometric Modeling of Artificial String Chemistries Reveals Constraints on Metabolic Network Structure
  15. 5175
    “…The method was implemented in Python and integrated as new modules in the widely used digital forensics application Autopsy. …”
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    Exposing Manipulated Photos and Videos in Digital Forensics Analysis
  16. 5176
    “…In this study, a Smartphone-Fluidic Digital Imaging Analysis (SFDIA) System, which incorporates microfluidic techniques and Python-based video processing software, was developed for islet mass assessment. …”
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    A Smartphone-Fluidic Digital Imaging Analysis System for Pancreatic Islet Mass Quantification
  17. 5177
    “…The docking was completed via AutoDock Vina module in Python Prescription software. The best hit drugs with each receptor were selected and their molecular interactions were analyzed using BIOVIA’s Discovery Studio 2020. …”
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    Blocking the interactions between human ACE2 and coronavirus spike glycoprotein by selected drugs: a computational perspective
  18. 5178
    “…METHODS: Four different types of targets were selected (C-shaped target, oropharyngeal cancer, metastatic spine cancer, and prostate cancer), and the translation, scaling, rotation, and sine function transformation were performed with the software Python to introduce systematic and random errors. …”
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    Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations
  19. 5179
    “…Three robust supervised ML techniques were implemented using Python 3.7 (Light Gradient Boosting Machine (LightGBM); Random Forest (RF); and eXtreme Gradient Boosting (XGBoost)) for predicting MV duration. …”
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    Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine Learning
  20. 5180
    “…METHODS: The artificial neural network model is developed by Python programming using real time data. Parameter identification for model inputs and outputs is done by in corporating consistent real time patient data including periodical arterial blood gas analysis, continuous pulse oximetry readings and mechanical ventilator settings using statistical pairwise analysis using R programming. …”
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    Multilayer perceptron neural network model development for mechanical ventilator parameters prediction by real time system learning
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