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  2. Okuma Corporation - Wikipedia

    en.wikipedia.org/wiki/Okuma_Corporation

    Okuma Corporation (オークマ株式会社, Ōkuma Kabushiki-gaisha) is a machine tool builder based in Ōguchi, Aichi Prefecture, Japan. It has global market share in CNC machine tools such as CNC lathes, machining centers, and turn-mill machining centers. The company also offers FA (factory automation) products and servomotors. [2]

  3. Okuma - Wikipedia

    en.wikipedia.org/wiki/Okuma

    Okuma Corporation, a manufacturer of CNC turning and milling machines Ōkuma, Fukushima (大熊町; -machi), a town located in Futaba District, Fukushima Prefecture, Japan Ōkuma Station (逢隈駅), a JR East railway station located in Watari, Miyagi Prefecture, Japan

  4. File:Okuma Corporation company logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Okuma_Corporation...

    This vector image was created by converting the Encapsulated PostScript file available at Brands of the World (view • download). Remember not all content there is in general free, see Commons:Fair use for more.

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  7. Facebook - Wikipedia

    en.wikipedia.org/wiki/Facebook

    For example, when you play a game with your Facebook friends or use a Facebook Comment or Share button on a website, the game developer or website can receive information about your activities in the game or receive a comment or link that you share from the website on Facebook. Also, when you download or use such third-party services, they can ...

  8. Talk:Okuma Corporation - Wikipedia

    en.wikipedia.org/wiki/Talk:Okuma_Corporation

    If you would like to participate, please visit the project page, where you can join the project, participate in relevant discussions, and see lists of open tasks. Current time in Japan: 10:17, December 20, 2024 ( JST , Reiwa 6) ( Refresh ) Japan Wikipedia:WikiProject Japan Template:WikiProject Japan Japan-related

  9. History of Facebook - Wikipedia

    en.wikipedia.org/wiki/History_of_Facebook

    Facebook announces algorithm changes that penalize "clickbait" titles, based on a score assigned by a machine-learned model. The model is trained based on cases where users like a link, click it, and then immediately bounce and unlike pages. The algorithm is applied both at the web domain level and at the Facebook page level. [561] [562] [563] 2016