Methods and systems for neural maintenance and regeneration
    84.
    发明授权
    Methods and systems for neural maintenance and regeneration 有权
    神经维持和再生的方法和系统

    公开(公告)号:US08318136B2

    公开(公告)日:2012-11-27

    申请号:US11891335

    申请日:2007-08-09

    IPC分类号: A61K49/00 A61K35/30 A61K9/00

    摘要: Methods and systems are described that release one or both of a neurotrophin and an inhibitor of the degradation of the neurotrophin within or in the vicinity of a highly innervated tissue. In some embodiments, the method includes regulating the release of the neurotrophin and the inhibitor of degradation over time. In some embodiments, the method includes monitoring the concentration of the neurotrophin over time. The system may include a device or multiple devices for the release of the neurotrophin and the inhibitor as well as a controller. In some embodiments the system may include a sensor device and/or an imaging device capable of detecting the concentration of the neurotrophin over time. The release of the neurotrophin and inhibitor of degradation may be part of a controlled release system and regulated over time.

    摘要翻译: 描述了释放神经营养因子和神经营养因子在高度维持组织附近或附近的降解的抑制剂中的一种或两种的方法和系统。 在一些实施方案中,该方法包括调节神经营养因子的释放和随时间的降解抑制剂。 在一些实施方案中,该方法包括随时间监测神经营养因子的浓度。 该系统可以包括用于释放神经营养因子和抑制剂的装置或多个装置以及控制器。 在一些实施例中,系统可以包括能够随时间检测神经营养因子浓度的传感器装置和/或成像装置。 神经营养因子和降解抑制剂的释放可以是受控释放系统的一部分并随时间调节。

    Occurrence data detection and storage for mote networks
    90.
    发明授权
    Occurrence data detection and storage for mote networks 有权
    微波网络的发生数据检测和存储

    公开(公告)号:US08275824B2

    公开(公告)日:2012-09-25

    申请号:US12454171

    申请日:2009-05-12

    IPC分类号: G06F15/16

    摘要: Systems and processes for detecting and storing occurrence data using mote networks are disclosed. In some embodiments, a system includes a computing component coupled with a data storage device and operable to receive data from one or more motes. Instructions on the data storage device configure the computing component to receive data from one or more motes into a received data set, receive an input selection corresponding to a target-occurrence having a representative feature, the representative feature including at least one recognizable pattern of at least one parameter in the data received from the one or more of the motes, select a pattern recognition criteria corresponding one of the representative features of the target-occurrence, and in response to the input selection corresponding to the target-occurrence, automatically search the received data set for data correlating to the target-occurrence representative feature using the selected pattern recognition criteria.

    摘要翻译: 公开了使用微尘网络检测和存储发生数据的系统和过程。 在一些实施例中,系统包括与数据存储设备耦合并且可操作以从一个或多个微粒接收数据的计算组件。 关于数据存储设备的指令配置计算组件以将数据从一个或多个空格接收到接收数据集中,接收对应于具有代表性特征的目标出现的输入选择,该代表性特征包括至少一个可识别模式 从所述一个或多个所述小数点接收到的数据中的至少一个参数,选择对应于所述目标出现的代表特征之一的模式识别准则,并且响应于与所述目标发生相对应的输入选择,自动搜索 使用所选择的模式识别标准接收与目标出现代表特征相关的数据的数据集。