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    • 21. 发明申请
    • Transdermal Patch Containing Isosorbide Dinitrate and Bisoprolol
    • 含有硝酸异山梨酯和比索洛尔的透皮贴剂
    • US20080292685A1
    • 2008-11-27
    • US12096545
    • 2005-12-09
    • Shuming WangLi WangXiaoling FanHuiyong XueShuang ZhangEnhong ZhangXuying ZhongYucheng LuChun LiLi Song
    • Shuming WangLi WangXiaoling FanHuiyong XueShuang ZhangEnhong ZhangXuying ZhongYucheng LuChun LiLi Song
    • A61K9/70A61K31/343A61P9/00
    • A61K9/7061A61K31/138A61K31/724
    • This invention relates to a transdermal patch in the form of a layer complex, comprising a backing layer, a drug-reservoir layer comprising pharmacologically active ingredients and pharmaceutically acceptable adjuvants, and a release liner covering the drug-reservoir layer, characterized in that the drug-reservoir layer comprises isosorbide dinitrate and Bisoprolol at a ratio of 1:3 to 3:1 by weight, as the pharmacologically active ingredients. Animal tests show that said patch can reduce the elevation of T wave of cardiogram, the increase of the level of myocardial enzyme in blood serum, and the extension of the range of myocardial infarction caused by ligating the coronary artery in animals. Results show that said patch exhibits a considerable synergistic effect in the treatment of cardiovascular diseases and has good preventive and therapeutic effects on several adverse events on heart. In addition, the animal tests show that the patch according to the invention has a better pressure-reducing effect than the application of the patch containing only one of isosorbide dinitrate and Bisoprolol, and does not worsen the arrhythmia that is easily caused by the application of the patch containing only isosorbide dinitrate or Bisoprolol.
    • 本发明涉及层复合物形式的透皮贴剂,其包含背衬层,包含药理活性成分和药学上可接受的佐剂的药物储库层,以及覆盖药物储库层的释放衬垫,其特征在于药物 作为药理活性成分,含有硝酸异山梨酯和比索洛尔,比例为1:3〜3:1。 动物试验表明,所述贴片可以降低心电图T波的升高,血清中心肌酶水平的升高,以及通过在动物中连接冠状动脉引起的心肌梗塞范围的延长。 结果表明,所述贴片在治疗心血管疾病方面具有相当大的协同效应,对心脏上的几种不良事件具有良好的预防和治疗作用。 此外,动物试验表明,根据本发明的贴剂具有比仅含有硝酸异山梨酯和比洛维罗之一的贴剂的施用更好的减压效果,并且不会使应用容易引起的心律失常恶化 该补丁仅含有硝酸异山梨酯或比索洛尔。
    • 23. 发明授权
    • Apparatus and methods for determining critical area of semiconductor design data
    • 用于确定半导体设计数据临界面积的装置和方法
    • US06948141B1
    • 2005-09-20
    • US10281427
    • 2002-10-24
    • Akella V. S. SatyaVladimir D. FederovLi Song
    • Akella V. S. SatyaVladimir D. FederovLi Song
    • G01R31/3183G06F17/50
    • G01R31/318364G06F17/5068H01J2237/2817
    • Disclosed are mechanisms for efficiently and accurately calculating critical area. In general terms, a method of determining a critical area for a semiconductor design layout is disclosed. The critical area is utilizable to predict yield of a semiconductor device fabricated from such layout. A semiconductor design layout having a plurality of features is first provided. The features have a plurality of polygon shapes which include nonrectangular polygon shapes. Each feature shape has at least one attribute or artifact, such as a vertex or edge. A probability of fail function is calculated based on at least a distance between two feature shape attributes or artifacts. By way of example implementations, a distance between two neighboring feature edges (or vertices) or a distance between two feature edges (or vertices) of the same feature is first determined and then used to calculate the probability of fail function. In a specific aspect, the distances are first used to determine midlines between neighboring features or midlines within a same feature shape, and the midlines are then used to determine the probability of fail function. A critical area of the design layout is then determined based on the determined probability of fail function. In specific implementations, the defect type is a short type defect or an open type defect. In a preferred implementation, the features may have any suitable polygonal shape, as is typical in a design layout.
    • 公开了高效准确地计算关键区域的机制。 一般来说,公开了一种确定半导体设计布局的关键区域的方法。 关键区域可用于预测由这种布局制造的半导体器件的产量。 首先提供具有多个特征的半导体设计布局。 特征具有包括非矩形多边形形状的多个多边形形状。 每个特征形状至少有一个属性或工件,例如顶点或边。 基于至少两个特征形状属性或伪影之间的距离来计算失败函数的概率。 作为示例实现,首先确定两个相邻特征边缘(或顶点)之间的距离或相同特征的两个特征边缘(或顶点)之间的距离,然后用于计算故障功能的概率。 在特定方面,首先用距离来确定相同特征形状中的相邻特征或中线之间的中线,然后使用中线来确定失败功能的概率。 然后根据所确定的故障功能概率来确定设计布局的关键区域。 在具体实施中,缺陷类型是短型缺陷或开放型缺陷。 在优选的实施方案中,特征可以具有任何合适的多边形形状,如在设计布局中典型的。
    • 24. 发明授权
    • Apparatus and methods for determining critical area of semiconductor design data
    • 用于确定半导体设计数据临界面积的装置和方法
    • US06918101B1
    • 2005-07-12
    • US10281416
    • 2002-10-24
    • Akella V. SatyaRaman K. NuraniLi Song
    • Akella V. SatyaRaman K. NuraniLi Song
    • G06F17/50
    • G06F17/5081
    • Disclosed are mechanisms for efficiently and accurately calculating critical area. In general terms, a method for determining a critical area for a semiconductor design layout is disclosed. The critical area is utilizable to predict yield of a semiconductor device fabricated from such layout. A semiconductor design layout having a plurality of features is first provided. The features have a plurality of polygon shapes which include nonrectangular polygon shapes. Each feature shape has at least one attribute or artifact, such as a vertex or edge. A probability of fail function is calculated based on at least a distance between two feature shape attributes or artifacts. By way of example implementations, a distance between two neighboring feature edges (or vertices) or a distance between two feature edges (or vertices) of the same feature is first determined and then used to calculate the probability of fail function. In a specific aspect, the distances are first used to determine midlines between neighboring features or midlines within a same feature shape, and the midlines are then used to determine the probability of fail function. A critical area of the design layout is then determined based on the determined probability of fail function. In specific implementations, the defect type is a short type defect or an open type defect. In a preferred implementation, the features may have any suitable polygonal shape, as is typical in a design layout.
    • 公开了高效准确地计算关键区域的机制。 一般来说,公开了一种用于确定半导体设计布局的临界区域的方法。 关键区域可用于预测由这种布局制造的半导体器件的产量。 首先提供具有多个特征的半导体设计布局。 特征具有包括非矩形多边形形状的多个多边形形状。 每个特征形状至少有一个属性或工件,例如顶点或边。 基于至少两个特征形状属性或伪影之间的距离来计算失败函数的概率。 作为示例实现,首先确定两个相邻特征边缘(或顶点)之间的距离或相同特征的两个特征边缘(或顶点)之间的距离,然后用于计算故障功能的概率。 在特定方面,首先用距离来确定相同特征形状中的相邻特征或中线之间的中线,然后使用中线来确定失败功能的概率。 然后根据所确定的故障功能概率来确定设计布局的关键区域。 在具体实施中,缺陷类型是短型缺陷或开放型缺陷。 在优选的实施方案中,特征可以具有任何合适的多边形形状,如在设计布局中典型的。