https://jcr.clarivate.com

Journal Citation Reports is an annual publication which indicates the most frequently cited journals in a field, the highest impact journals in a field, and the largest journals in a field.

Journal Citation Reports™ (JCR) provides you with the transparent, publisher-neutral data and statistics you need to make confident decisions in today’s evolving scholarly publishing landscape, whether you’re submitting your first manuscript or managing a portfolio of thousands of publications.

Quickly understand a journal’s role within and influence upon the global research community by exploring a rich array of citation metrics, including the Journal Impact Factor™ (JIF), alongside descriptive data about a journal’s open access content and contributing authors

1. access the JCR website

Journal Citation Reports are not free.

Access https://jcr.clarivate.com in the university’s network or by remote access (VPN) if the university has bought the license to the database.

click【Products】- 【Journal Citation Reports

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2.Find relevant categories or journals

2.1 click【Browse Categories

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2.2 select【Social sciences,genernal】-【Hospitality,Leisure, Sport & Tourism

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2.3 click【SSCI】(58 journals)

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3.Export the spreadsheet file

click【Export】button to download the csv file.

 jcr7

JCR(with weblinks) on hospitality, leisure, sport and tourism: 

http://kaiwu.city/index.php/5-sscijournal

 
 

From Wikipedia, the free encyclopedia

Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text.

It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.[2] GPT-3's full version has a capacity of 175 billion machine learning parameters. GPT-3, which was introduced in May 2020, and was in beta testing as of July 2020,[3] is part of a trend in natural language processing (NLP) systems of pre-trained language representations.

1. Openai.com. (2021, March 25). GPT-3 Powers the Next Generation of Apps. OpenAI. https://openai.com/blog/gpt-3-apps/
 
 
2. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language Models are Few-Shot Learners. ArXiv:2005.14165 [Cs]. http://arxiv.org/abs/2005.14165

3. Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1
  1. This is a real example, see https://www.ambrogiorobot.com/en. Disclosure: LF owns one.

  2. See https://en.wikipedia.org/wiki/ELIZA. A classic book still worth reading on the ELIZA effect and AI in general is (Weizenbaum 1976). In 2014 some people claimed, mistakenly, that a chatbot had passed the test. Its name is “Eugene Goostman”, and you can check it by yourself, by playing with it here: http://eugenegoostman.elasticbeanstalk.com/. When it was tested, I was one of the judges, and what I noticed was that it was some humans who failed to pass the test, asking the sort of questions that I have called here “irreversible”, such as (real examples, these were asked by a BBC journalist) “do you believe in God?” and “do you like ice-cream”. Even a simple machine tossing coins would “pass” that kind of test.

  3. See for example the Winograd Schema Challenge (Levesque et al. 2012).

  4. For an excellent, technical and critical analysis, see McAteer (https://matthewmcateer.me/blog/messing-with-gpt-3/ ." data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 2020">2020). About the “completely unrealistic expectations about what large-scale language models such as GPT-3 can do” see Yann LeCun (Vice President, Chief AI Scientist at Facebook App) here: https://www.facebook.com/yann.lecun/posts/10157253205637143.

  5. The following note was written by the journalists, not the software: “[…] GPT-3 produced eight different outputs, or essays. Each was unique, interesting and advanced a different argument. The Guardian could have just run one of the essays in its entirety. However, we chose instead to pick the best parts of each, in order to capture the different styles and registers of the AI. Editing GPT-3’s op-ed was no different to editing a human op-ed. We cut lines and paragraphs, and rearranged the order of them in some places. Overall, it took less time to edit than many human op-eds.” (GPT-3 2020).

  6. For some philosophical examples concerning GPT-3, see http://dailynous.com/2020/07/30/philosophers-gpt-3/.

  7. For a more extended, and sometimes quite entertaining, analysis see (Lacker https://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html ." data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 2020">2020).

  8. For an interesting analysis see (Elkins and Chun 2020).

  9. https://predatoryjournals.com/journals/.

  10. https://visme.co/blog/most-searched-questions-on-google/.


4. Kulkarni, V. (2020, July 23). What’s GPT-3, the Language Model Built by OpenAI, and What’s So Exciting About It? The Wire Science. https://science.thewire.in/the-sciences/openai-gpt-3-language-model-natural-language-processing-artificial-general-intelligence/
scribbles on wall 1309899f

5. Manjoo, F. (2020, July 29). Opinion | How Do You Know a Human Wrote This? The New York Times. https://www.nytimes.com/2020/07/29/opinion/gpt-3-ai-automation.html
 
 
6. Langston, J. (2021, May 25). Microsoft announced its first customer product features powered by GPT-3 and @Azure. The AI Blog. https://blogs.microsoft.com/ai/from-conversation-to-code-microsoft-introduces-its-first-product-features-powered-by-gpt-3/
GPT3 microsoft
 
 
 
 
 

软件名称:Scimago Graphica

官方网站:www.graphica.app

开发机构:SCImago Lab (www.scimagolab.com

软件大小:264兆

更新日期:2021-9-30

 

logo Scimago Graphica

 

A new way to explore, visually communicate and make sense of data. Scimago Graphica is completely free, but if you need even more features, we are working on a pro version.

Scimago Graphica作为Scimago Journal & Country Rank(SJR期刊排名)的数据可视化工具(www.scimagojr.com/viztools.php),完全免费,支持windows,mac和linux系统,目前提供了30种图形和示例数据,支持交互功能,很多方面已经很接近商业软件tableau了(www.tableau.com)。

 

www.graphica.app/catalogue

Scimago Graphica Data Viz Catalogue

 

Scimago Graphica example1

 

 

Scimago Graphica example2

 

 

 

 

 

## what is cheat sheet
[https://en.wikipedia.org/wiki/Cheat_sheet](https://en.wikipedia.org/wiki/Cheat_sheet)
A cheat sheet (also cheatsheet) or crib sheet is a concise set of notes used for quick reference.

Cheat sheets are so named because they may be used by students without the instructor's knowledge to cheat on a test. However, at higher levels of education where rote memorization is not as important as in basic education, students may be permitted to consult their own notes (crib notes, or crib sheet) during the exam (which is not considered cheating). The act of preparing a crib sheet can be an educational exercise, and students are sometimes only allowed to use crib sheets they have written themselves.

https://www.rstudio.com/resources/cheatsheets/#contributed-cheatsheets

https://github.com/rstudio/cheatsheets/raw/master/powerpoints/0-template.pptx


 http://kaiwu.city/index.php/downloads?task=download.send&id=5&catid=3&m=0