A METHOD AND APPARATUS FOR INTERPRETING MULTI-BREATH NITROGEN WASHOUT DATA

    公开(公告)号:WO2019084225A1

    公开(公告)日:2019-05-02

    申请号:PCT/US2018/057438

    申请日:2018-10-25

    Inventor: BATES, Jason, T.

    CPC classification number: A61B5/083 A61B5/091

    Abstract: A novel method and apparatus for analyzing multi-breath nitrogen washout (MBNW) data from a lung is provided. The novel method includes fitting multi-compartment lung model, having five free parameters, to an exhaled nitrogen concentration profile over the entire duration of expiration for each breath from the lung. The five free parameters include 1) functional residual capacity, 2) dead space volume, 3) the standard deviation of the rate of change of fractional contribution to expired flow from each lung region as a function of lung volume, 4) the intrinsic slope of Phase-Ill due to acinar asymmetry, and 5) the coefficient of variation of regional specific ventilation.

    SYSTEMS AND METHODS FOR RESERVOIR SAMPLING OF STREAMING DATA AND STREAM JOINS
    5.
    发明申请
    SYSTEMS AND METHODS FOR RESERVOIR SAMPLING OF STREAMING DATA AND STREAM JOINS 审中-公开
    用于流动数据和流水线接收的储层采样系统和方法

    公开(公告)号:WO2008137978A1

    公开(公告)日:2008-11-13

    申请号:PCT/US2008/063028

    申请日:2008-05-08

    CPC classification number: G01D21/00

    Abstract: Algorithms and concepts for maintaining uniform random samples of streaming data and stream joins. These algorithms and concepts are used in systems and methods, such as wireless sensor networks and methods for implementing such networks, that generate and handle such streaming data and/or stream joins. The algorithms and concepts directed to streaming data allow one or more sample reservoirs to change size during sampling. When multiple reservoirs are maintained, some of the algorithms and concepts periodically reallocate memory among the multiple reservoirs to effectively utilize limited memory. The algorithms and concepts directed to stream joins allow reservoir sampling to proceed as a function of the probability of a join sampling operation. In memory limited situations wherein memory contains the sample reservoir and a join buffer, some of the stream-join algorithms and concepts progressively increase the size of the sampling reservoir and reallocate memory from the join buffer to the reservoir.

    Abstract translation: 用于维护流数据和流连接的统一随机样本的算法和概念。 这些算法和概念被用于生成和处理这样的流数据和/或流连接的系统和方法中,例如用于实现这样的网络的无线传感器网络和方法。 针对流数据的算法和概念允许一个或多个样本库在采样期间改变大小。 当维护多个储层时,一些算法和概念在多个储层之间周期性地重新分配存储器以有效地利用有限的存储器。 针对流连接的算法和概念允许储层采样作为连接采样操作的概率的函数来进行。 在存储器限制的情况下,其中存储器包含样本存储器和连接缓冲器,一些流连接算法和概念逐渐增加采样存储器的大小并将存储器从连接缓冲器重新分配到存储器。

    ELECTROSTATIC PARTICLE EXPOSURE SYSTEM AND METHOD OF EXPOSING A TARGET MATERIAL TO SMALL PARTICLES
    6.
    发明申请
    ELECTROSTATIC PARTICLE EXPOSURE SYSTEM AND METHOD OF EXPOSING A TARGET MATERIAL TO SMALL PARTICLES 审中-公开
    静电颗粒暴露系统及其目标物料暴露于小颗粒的方法

    公开(公告)号:WO2008024966A1

    公开(公告)日:2008-02-28

    申请号:PCT/US2007/076746

    申请日:2007-08-24

    CPC classification number: B82Y15/00 B82Y5/00 C12M35/02

    Abstract: A system for exposing a target material to small particles. The system includes an exposure chamber that receives the target material. A stream of charged particles is directed via an inlet into the exposure chamber toward the target material. One or more electrodes are located relative to the target material and the inlet, and are electrically charged, so as to cause at least some of the charged particles to impact upon the target material. The system can be used to expose the target material to small, for example, nanoscale, particles in a gas environment.

    Abstract translation: 用于将目标材料暴露于小颗粒的系统。 该系统包括接收目标材料的曝光室。 带电粒子流经入口引入曝光室朝向目标材料。 一个或多个电极相对于目标材料和入口定位,并且被带电,以使至少一些带电粒子撞击靶材。 该系统可用于在气体环境中将目标材料暴露于小的,例如纳米级的颗粒。

    SMALL MOLECULE ANTAGONIST TO PACAP RECEPTOR AND USES THEREOF

    公开(公告)号:WO2020168068A1

    公开(公告)日:2020-08-20

    申请号:PCT/US2020/018098

    申请日:2020-02-13

    Abstract: The invention relates to compounds that demonstrate efficacy in blocking PACAP receptors ( e.g . PAC1) and associated methods of treating neurological diseases or disorders using the disclosed compounds. The neurological diseases or disorders include, but are not limited to, stress-related diseases ( e.g . chronic stress, post-traumatic stress disorder (PTSD), anxiety, or general anxiety disorder), pain-related diseases ( e.g . chronic pain, primary headache disorders, or migraines), or addiction ( e.g . addiction to a substance ( e.g . addiction to cocaine, amphetamines, methamphetamine, methylphenidate, nicotine, alcohol, prescription medication, marijuana, tobacco, or an opioid selected from heroin, fentanyl, codeine, hydrocodone, morphine, oxycodone, hydromorphone, and methadone)).

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