1.[R语言]Functions函数《Rfordatascience》12(x %% 5)) { "buzz" } else { # ensure that the function returns a character vector as.character(x) } } # 第二种解法用嵌套判断增加科学性 fizzbuzz2 <- function(x) { # these two lines check that x is a valid input stopifnot(length(x) == 1) stopifnot(is.numeric(x)) if (https://www.jianshu.com/p/972a0b18b6eb

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4.GuidelinesforAuthors● No data have been fabricated or manipulated (including images) to support your conclusions ● No data, text, or theories by others are presented as if they were the author's own ("plagiarism"). Proper acknowledgements to other works must be given (this includes material that is closely https://jcst.ict.ac.cn/Guidelines_for_Authors

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7.FrontiersEnhancingtheScientificValueofIndustryoccur. Consideration must be given to the expectations of ROV operators and industry partners if scientific data collection is to succeed and, in this regard, initial planning meetings and ongoing communication are essential. A key role for ROVs in offshore drill-support operations is subsea assethttps://www.frontiersin.org/article/10.3389/fmars.2020.00220/full

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9.ChinaScientificDataPlease contact the editorial office at 0086-10-58812762 or csdata@cnic.cn if you need advice or communication on special cases. Editorial Board of China Scientific Data August 1, 2024 Data Policy V 1.0 As an academic journal specializing in publishing data papers for multidisciplinary fields, Chihttps://www.sciengine.com/CSD/authorCenter?scroll=section_2

10.(IUCr)ThescienceisinthedataKeywords:raw diffraction data;sharing raw data and its reuse;open science;education;crystallographic science case studies. Similar articlesReuse permissionsPowerPoint slides 1. Introduction 1.1. The significance of all sorts of scientific data The meaning of the title of this article seems almost self-http://dx.doi.org/10.1107/s2052252517013690

11.人工智能/数据科学比赛汇总2019.851CTO博客https://datahack.analyticsvidhya.com/contest/build-a-recommendation-engine-powered-by-ibm-cloud/ 24 Jan - 25 July, 2019 // Host byAnalytics Vidhya// Prize: INR 50,000 Note: You are expected to build a high performing recommendation engine using any framework of your choice. You are encourahttps://blog.51cto.com/wizardforcel/6886949

12.Mayavi:3DvisualizationofscientificdatainPythonMayavi is a general purpose, cross-platform tool for 2-D and 3-D scientific data visualizationIf you are new to Mayavi it is a good idea to read theonline user manualwhich should introducehttps://github.com/enthought/mayavi

13.DataAcquisitionFAQThermoFisherScientificAll data is logged to non-volatile flash memory so no data will be lost. A lithium backup battery maintains date/time and other settings even if the main battery is completely flat. The logger will wake automatically when external power is re-applied. How often should I replace the lithttps://www.thermofisher.com/kg/en/home/industrial/manufacturing-processing/data-acquisition/data-acquisition-faq.html

14.MICCAIBraTS2017:DataSectionforBiomedicalImage[2]S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J.S. Kirby, et al., "Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features", Nature Scientific Data, 4:170117 (2017) DOI: 10.1038/sdata.2017.117 https://www.med.upenn.edu/sbia/brats2017/data.html

15.ArtificialIntelligence(AI)inHigherEducationFrom students building advanced technical skills to faculty members educating tomorrow’s innovators to researchers pursuing breakthrough scientific discoveriesClassical machine learning (ML): Uses models, or algorithms, to analyze data sets, identify patterns, and make predictions without human interventiohttps://www.intel.com/content/www/us/en/education/highered/artificial-intelligence.html

16.IF高录用率高,毕业首选!scientificdata基本信息:IF9.8 ,JCR1区,中科院2区 自引率:4.10% 检索情况:SSCI & DOAJ & Scopus 征稿领域:欢迎来自自然科学、医学、工程和社会科学等各个领域的投稿。 预警情况:连续4年不在中科院《国际期刊预警名单》中 评价:Scientific Data以其高影响因子、高录用率、低自引率、开放获取、对国人友好、审稿速度快以及适中的https://blog.csdn.net/Accept_Published/article/details/139656627

17.pythonscientificlecturenotesOne document to learn numerics, science, and data with Python? Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. http://scipy-lectures.org/

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19.ENSEMBLEEMPIRICALMODEDECOMPOSITION:ANOISEIf the address matches an existing account you will receive an email with instructions to reset Research Center for Adaptive Data Analysis, National Central University, 300 Jhongda Road, Chungli, Hilbert–Huang Transform and Its Applications (World Scientific, Singapore, 2005)?p. 311. http://www.worldscientific.com/doi/abs/10.1142/S1793536909000047