CHIP FOR INTEGRATED TUMOR CELL BEHAVIOR EXPERIMENTS

    公开(公告)号:US20240018452A1

    公开(公告)日:2024-01-18

    申请号:US18026325

    申请日:2020-12-30

    CPC classification number: C12M21/08 C12M23/34 C12N2513/00

    Abstract: An chip for integrated tumor cell behavior experiments, which comprises a functional area I, a functional area II, a functional area III, a functional area IV and a functional area V, wherein the functional area I comprises a cell invasion 3D co-culture plate (400) for cell invasion experiments; the functional area II comprises a cell migration culture hole (500) for cell migration experiments; the functional area III comprises a cell proliferation single-cell culture hole (600) for tumor single-cell culture; the functional area IV comprises an angiogenesis 3D co-culture plate (700) for tumor-related angiogenesis experiments; and the functional area V comprises a tumor single-cell culture hole (803), a matrix glue groove (805) and a tumor cell attraction factor hole (801) connected by matrix glue for tumor single-cell migration or invasion experiments. The single-cell culture, micro-fluidic and 3D culture techniques are comprehensively used in the chip, such that the experiment process is obviously simplified, the experiment efficiency is improved, and the obtained experiment result has a higher accuracy and repeatability.

    AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES
    2.
    发明申请
    AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES 审中-公开
    自动检测短暂的电子消息和多电子信息

    公开(公告)号:US20120254333A1

    公开(公告)日:2012-10-04

    申请号:US13455862

    申请日:2012-04-25

    Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

    Abstract translation: 用于自动识别有害电子信息的方法和装置,例如在Craigslist或Twitter,Facebook和其他社交媒体网站上呈现的电子邮件中的有害电子信息的特征方法,用于区分不期望的垃圾通信(垃圾邮件)和不需要的欺骗性消息(欺诈) ,基于每种类型的电子通信样本可辨别的模式的真实通信。 提出了一种方法,可以通过简短的电子消息(例如在Twitter上)和多语言应用程序来区分来自不需要的通信的想要的内容。

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