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  1. 5461
    “…Tweeting frequency, sentiment, and word frequency analyses were performed with Python modules. RESULTS: Tweeting frequency increased by 24.0% in phase 2 and decreased by 9.1% in phase 3. …”
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    Public Interest in Cosmetic Surgical and Minimally Invasive Plastic Procedures During the COVID-19 Pandemic: Infodemiology Study of Twitter Data
  2. 5462
    “…METHODS: Based on a longitudinal dataset of 816,556 posts published by 27,912 Weibo users in Wuhan, China, from December 31, 2019, to April 31, 2020, we processed general sentiment inclination rating and the type of sentiments of Weibo posts by using pandas and SnowNLP Python libraries. We also grouped the publication times into 5 time groups to measure changes in netizens’ sentiments during different periods in a single day. …”
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    Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan
  3. 5463
    por Zentgraf, Jens, Rahmann, Sven
    Publicado 2021
    “…It is written in numba-compiled Python and comes with sample Snakemake workflows for hash table construction and dataset processing.…”
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    Fast lightweight accurate xenograft sorting
  4. 5464
    “…The data were analyzed using R (v3.6.1) and Python Jupyter Notebook. Descriptive statistics, t-test, analysis of variance (ANOVA), and logistic regression were used to determine the relationship between dependent and independent variables. …”
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    Determinants of nutrition knowledge, attitude and practices of adolescent sports trainee: A cross-sectional study in Bangladesh
  5. 5465
    “…J Cheminform. 2021. 10.1186/s13321-021-00504-4. Python code for calculating the extended similarity metrics is freely available at: https://github.com/ramirandaq/MultipleComparisons. …”
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    Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics(†)
  6. 5466
    “…Based on catering review data from August 2019 to April 2020, this paper first carries out Latent Dirichlet Allocation (LDA) topic analysis and SNOWNLP (A Python library for processing Chinese text) sentiment analysis. …”
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    The Impact of COVID-19 on Consumers’ Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China
  7. 5467
    “…The platform consists of three components: ELISA-array of printed proteins, a commercial or home-built plate reader, and modular python software for automated analysis (pysero). We validate the platform by comparing antibody titers against the SARS-CoV-2 Spike, receptor binding domain (RBD), and nucleocapsid (N) in 114 sera from COVID-19 positive individuals and 87 pre-pandemic COVID-19 negative sera. …”
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    multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection
  8. 5468
    “…Topics included: distance, frequency and reasons for mobility. We used Python software to analyse mapping data. RESULTS: Interviews found in depth narratives describing lack of education and employment opportunities, violence, lack of agency, social, sexual and familial support networks and poverty as a complex web of reasons for high mobility among young sex workers. …”
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    Mobility study of young women who exchange sex for money or commodities using Google Maps and qualitative methods in Kampala, Uganda
  9. 5469
    “…METHODS: Endo.Adm system was developed using Python and Deep Convolutional Neural Ne2rk models. …”
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    A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial
  10. 5470
    “…Statistical analysis was conducted with Python, Pandas and Seaborn software. Asymptomatic subjects with Hp infection (Hp+) had a significantly higher level of PGI in the serum (111 ng/mL [median]) than those without Hp infection (Hp−) (94 ng/mL, P < .001). …”
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    Serum pepsinogen II levels are doubled with Helicobacter pylori infection in an asymptomatic population of 40,383 Chinese subjects
  11. 5471
    por Odingo, Myron O.
    Publicado 2020
    “…Data analysis was conducted using the Python (version 3) programming language modules: Pandas, NumPy, Matplotlib, Seaborn and SciPy RESULTS: The most common containment and mitigation measures were under the categories of; health systems strengthening, enhanced detection measures, implementation of quarantine measures, movement restrictions and social distancing. …”
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    An Exploration of COVID-19 Management Policies across Nine African Countries
  12. 5472
    “…We attach to the paper a Python code implementing the three aforementioned algorithms on all the ERGMs considered in the present work.…”
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    Fast and scalable likelihood maximization for Exponential Random Graph Models with local constraints
  13. 5473
    “…We developed a tool that applied several layers of linguistic processing based on the spaCy NLP library for Python. We evaluated mention-level performance in the following domains: span, status, temporality and polarity. …”
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    Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records
  14. 5474
    “…The dynamic basal insulin needs determination was successfully included in a closed-loop control algorithm and was simulated on 30 virtual patients (10 adults, 10 adolescent and 10 children) using an open-source python implementation of the FDA-approved (Food and Drug Administration) UVa (University of Virginia)/Padova Simulator. …”
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    Dynamic Insulin Basal Needs Estimation and Parameters Adjustment in Type 1 Diabetes
  15. 5475
    por Ju, Chunhua, Zhang, Shuangzhu
    Publicado 2021
    “…Through the application of Python and MySQL algorithms, replacing semantic dictionary retrieval or word frequency statistics, word vectors were utilized to measure similarity between patients' prediagnosis and doctors' specialty, forming a recommendation framework on medical departments or doctors based on the above-obtained sentence similarity measurement and providing recommendation advices on intentional departments and doctors. …”
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    Doctor Recommendation Model Based on Ontology Characteristics and Disease Text Mining Perspective
  16. 5476
    “…For category 1 (feelings), automated analysis in Python using the Valence Aware Dictionary for sentiment Reasoner package produced weighted valence (extent of positive, negative or neutral emotive connotations) of the interviewees’ word choices. …”
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    Use of telecritical care for family visitation to ICU during the COVID-19 pandemic: an interview study and sentiment analysis
  17. 5477
    “…The objective of this study was to develop and demonstrate methods that support complex pedigree reconstruction via the total length of identical by state haplotypes (referred to in this study as “summed potential lengths of shared haplotypes”, SPLoSH). A custom Python script, HapShared, was developed to generate SPLoSH data in apple and sweet cherry. …”
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    The use of shared haplotype length information for pedigree reconstruction in asexually propagated outbreeding crops, demonstrated for apple and sweet cherry
  18. 5478
    “…Two coefficients were calculated: the maximal information coefficient (MIC) between IRP and time to treatment failure (TTF) using the Python package with minepy library, and the Spearman’s rank correlation coefficient. …”
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    Initial rapidity of tumor growth as a prognostic factor for the therapeutic effect of immune-checkpoint inhibitors in patients with non-small cell lung cancer: evaluation for linear and non-linear correlation
  19. 5479
    “…Data were analyzed using R(©) (version 4.0.3, The R Foundation for Statistical Computing, 2020), and Python (version 3.6, Matplotlib version 3.0.3). The COTI was able to provide a quantitative temporal pattern of uptake within the thyroid in persons with Graves’ disease and lateralized the remnant tissue in persons with thyroid cancer. …”
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    Real-time quantitation of thyroidal radioiodine uptake in thyroid disease with monitoring by a collar detection device
  20. 5480
    “…We developed four unique products as part of this work, a(n): (i) Google Earth Engine interactive map visualization interface, (ii) Python code that runs in any internet browser, (iii) online tutorial with visualizations facilitating classroom code application, and (iv) instructional video demonstrating code application and database reproduction. …”
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    The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset
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