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2. Google Scholar - Wikipedia

   en.wikipedia.org/wiki/Google_Scholar

   Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...

3. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.

4. Help:Download as PDF - Wikipedia

   en.wikipedia.org/wiki/Help:Download_as_PDF

   In the left sidebar, under Print/export 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.

5. The jean evolution: How denim styles have reflected America ...

   www.aol.com/jean-evolution-denim-styles...

   The 2020s: Denim 2.0. For about 15 years, skinny jeans held a vice grip on a fashionable pant silhouette. Millennials, who had been influenced by the trend, were getting older, and Generation Z ...

6. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Free ( Mozilla Public License) an Office suite; allows to export (and import, with accuracy limitations) PDF files. Microsoft Word 2013. Proprietary. Desktop software. The 2013 edition of Office allows PDF files to be converted into a format that can be edited. Nitro PDF Reader. Freeware.

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...