Caveolin-1 antibody for use in treating brain inflammation and injury and improving functional recovery

    公开(公告)号:US11097134B2

    公开(公告)日:2021-08-24

    申请号:US16874019

    申请日:2020-05-14

    Abstract: A method for treating a neurological disorder, symptom or disease that is associated with an increase in the brain levels of caveolin-1 (Cav-1) in a subject in need thereof is disclosed. The method comprises administering to the subject in need thereof a composition comprising: (a) a therapeutically effective amount of an antibody specific against the Cav-1 or an antigen-binding fragment thereof; and (b) a pharmaceutically acceptable carrier. Methods for reducing cerebral inflammation, brain tissue damage, brain neuronal death, and improving behavioral outcomes or functional recovery related to a hemorrhagic stroke in a subject in need thereof are also disclosed.

    METHOD FOR REMOVING UNDIFFERENTIATED PLURIPOTENT STEM CELLS

    公开(公告)号:US20210147796A1

    公开(公告)日:2021-05-20

    申请号:US16620395

    申请日:2018-06-06

    Abstract: The present invention relates to a method for removing undifferentiated embryonic stem cells. In particular, the present invention relates to a method for removing undifferentiated embryonic stem cells by using cardiac glycosides (CGs). The present invention also relates to a method for preparing differentiated cells in which undifferentiated embryonic stem cells have been removed and a method for cell therapy by using such differentiated cells.

    System and methods for suppression by selecting wavelets for feature compression in distributed speech recognition

    公开(公告)号:US10978091B2

    公开(公告)日:2021-04-13

    申请号:US16205328

    申请日:2018-11-30

    Abstract: A system is provided to realize suppression by selecting wavelets for feature compression in distributed speech recognition. The system comprises a first device and a second device. The first device comprising: a first network module for connecting to a network; an acoustic transducer module for recording speech and outputting frames of recorded signal; and a first processor configured for the following: extracting multiple-dimensional speech features from the frames of the recorded signal to generate multiple feature sequences; applying discrete wavelet transform (DWT) to the feature sequences to obtain a plurality of component data; and transmitting at least one of the plurality of component data via the network, wherein another one of the plurality of component data is not transmitted. The second device comprising: a second network module for connecting to the network and receiving the at least one of the plurality of component data from the first device; and a second processor configured for the following: updating the received data to generate an updated data; and applying inverse discrete wavelet transform (IDWT) to the updated data to obtain reconstructed speech data.

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