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  2. This is a starting point for collating free, web-based resources available to editors, as well as indexes to help point to sources. Please feel free to add new resources with a URL to the site, and a brief description. Don't worry too much about presentation or organization, this is just a draft. Add new headings as needed.

  3. Scientific writing - Wikipedia

    en.wikipedia.org/wiki/Scientific_writing

    Authors should consider the potential impact of their research on different communities and take steps to mitigate any harm or bias. [49] Promoting diversity in authorship, peer review, and editorial boards enhances the quality and relevance of scientific literature and fosters a more equitable research environment.

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  5. Scientific literature - Wikipedia

    en.wikipedia.org/wiki/Scientific_literature

    The title attracts readers' attention and informs them about the contents of the article. [9] Titles are distinguished into three main types: declarative titles (state the main conclusion), descriptive titles (describe a paper's content), and interrogative titles (challenge readers with a question that is answered in the text). [10]

  6. Open Library - Wikipedia

    en.wikipedia.org/wiki/Open_Library

    Open Library is an online project intended to create "one web page for every book ever published". Created by Aaron Swartz, [3] [4] Brewster Kahle, [5] Alexis Rossi, [6] Anand Chitipothu, [6] and Rebecca Hargrave Malamud, [6] Open Library is a project of the Internet Archive, a nonprofit organization.

  7. Help:Download as PDF - Wikipedia

    en.wikipedia.org/wiki/Help:Download_as_PDF

    In the Print/export section select Download as PDF. The rendering engine starts and a dialog appears to show the rendering progress. When rendering is complete, the dialog shows "The document file has been generated. Download the file to your computer." Click the download link to open the PDF in your selected PDF viewer.

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  9. Characteristic samples - Wikipedia

    en.wikipedia.org/wiki/Characteristic_samples

    Characteristic samples is a concept in the field of grammatical inference, related to passive learning.In passive learning, an inference algorithm is given a set of pairs of strings and labels , and returns a representation that is consistent with .