Elongator Proteins and Use Thereof as DNA Demethylases
    7.
    发明申请
    Elongator Proteins and Use Thereof as DNA Demethylases 审中-公开
    延伸蛋白及其用途为DNA脱甲基酶

    公开(公告)号:US20120264811A1

    公开(公告)日:2012-10-18

    申请号:US13499870

    申请日:2010-10-15

    申请人: Yi Zhang Yuki Okada

    发明人: Yi Zhang Yuki Okada

    摘要: The invention provides DNA demethylases comprising Elp1, Elp2, Elp3, Elp4, Elp5 and/or Elp6. The invention also provides methods of modulating gene expression, for example, for the treatment of cancer or to modify the cellular transcription program (e.g., for regenerative medicine). Also provided are methods of identifying compounds that modulate the DNA demethylase activity of the DNA demethylases of the invention.

    摘要翻译: 本发明提供包含Elp1,Elp2,Elp3,Elp4,Elp5和/或Elp6的DNA去甲基化酶。 本发明还提供了调节基因表达的方法,例如用于治疗癌症或修饰细胞转录程序(例如,用于再生医学)。 还提供了鉴定调节本发明的DNA去甲基化酶的DNA去甲基化酶活性的化合物的方法。

    Oral treatment for anorectal conditions
    9.
    发明申请
    Oral treatment for anorectal conditions 审中-公开
    口腔治疗肛门直肠病

    公开(公告)号:US20050053682A1

    公开(公告)日:2005-03-10

    申请号:US10658194

    申请日:2003-09-10

    CPC分类号: A61K36/75

    摘要: Methods and uses pertaining to the oral treatment of anorectal conditions in a man or woman in need of such treatment are described, which comprises treatment with an orally effective amount of an extract of Cortex Dictamni in unit dosage form in association with one or more carriers or excipients.

    摘要翻译: 描述了与需要这种治疗的男性或女性口腔治疗肛门直肠病症有关的方法和用途,其包括以口服有效量的单位剂量形式的皮质硬脑膜炎提取物与一种或多种载体或 赋形剂。

    AI-BASED MODEL USE FOR NETWORK ENERGY SAVINGS

    公开(公告)号:US20230138190A1

    公开(公告)日:2023-05-04

    申请号:US18091673

    申请日:2022-12-30

    IPC分类号: H04W52/02 H04W36/24

    摘要: An apparatus and system of providing energy saving in a network are described. A target node receives, from a source node, a handover request to handover a UE due to at least one of entry of the source node into a power saving state or mobility optimization. In response, the target node transmits a relative energy efficiency value of Bits per Joule and periodic feedback related to a status of the UE for training an AI/ML energy saving model and stops the feedback in response to a stop parameter being met. The stop parameter is a first of: a predicted period of the source node to stay in the power saving state or time for a UE to connect to the target node, a percentage of UEs handed over that enter an idle or inactive state, and a percentage of UEs handed over that are further handed to another node.