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    • 6. 发明授权
    • Pyrrole-derivatives as factor Xa inhibitors
    • 吡咯衍生物作为因子Xa抑制剂
    • US07465806B2
    • 2008-12-16
    • US11467277
    • 2006-08-25
    • Armin BauerMichael WagnerMarc NazareVolkmar WehnerMatthias UrmannHans Matter
    • Armin BauerMichael WagnerMarc NazareVolkmar WehnerMatthias UrmannHans Matter
    • C07D261/06C07D207/32
    • C07D401/12C07D401/14C07D413/14
    • The present invention relates to compounds of the formulae I and Ia, wherein R0; R1; R3; R4; R22, Q; V, G and M have the meanings indicated in the claims. The compounds of the formulae I and Ia are valuable pharmacologically active compounds. They exhibit a strong antithrombotic effect and are suitable for the therapy and prophylaxis of cardiovascular disorders like thromboembolic diseases or restenoses. They are reversible inhibitors of the blood clotting enzymes factor Xa (FXa) and/or factor VIIa (FVIIa), and can in general be applied in conditions in which an undesired activity of factor Xa and/or factor VIIa is present or for the cure or prevention of which an inhibition of factor Xa and/or factor VIIa is intended. The invention furthermore relates to processes for the preparation of compounds of the formulae I and Ia, their use, in particular as active ingredients in pharmaceuticals, and pharmaceutical preparations comprising them.
    • 本发明涉及式I和Ia的化合物,其中R 0; R1; R3; R4; R22,Q; V,G和M具有权利要求中所示的含义。 式I和Ia的化合物是有价值的药理活性化合物。 它们具有强烈的抗血栓形成作用,适用于治疗和预防心血管疾病如血栓栓塞性疾病或再狭窄。 它们是血液凝固酶因子Xa(FXa)和/或因子VIIa(FVIIa)的可逆抑制剂,并且通常可用于存在因子Xa和/或因子VIIa的不期望活性或用于治愈 或预防因子Xa和/或因子VIIa的抑制。 本发明还涉及制备式I和Ia化合物的方法,其用途,特别是作为药物中的活性成分,以及包含它们的药物制剂。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR CHARACTERIZING THE FORMATION OF PAPER
    • 用于表征纸张形成的方法和装置
    • US20090220146A1
    • 2009-09-03
    • US12394597
    • 2009-02-27
    • Armin BauerMarianne Kiniger
    • Armin BauerMarianne Kiniger
    • G06K9/66
    • G06K9/46G06K9/00577G06T7/44G06T2207/20076G06T2207/20081G06T2207/30124
    • A method for characterizing the formation of paper in which patterns and/or structures existing in the paper are automatically characterized and classified. The automatic characterization and classification includes creating a collection of paper specimens, creating a digital image of each individual specimen, digital pre-processing of the digital image where necessary, calculating different multi-dimensional features in light of the digital images or sub-ranges of the images, analyzing structure-specific groups forming in the feature space during calculation of the different multi-dimensional features and analyzing the structure-specific groups in the feature space, projecting the results of the analysis of the structure-specific groups into a—compared to the feature space—low-dimensional space for visualizing the analysis results, and drawing on the analysis results for the classification of newly added specimens. The calculation of the different multi-dimensional features takes place in light of the digital images or sub-ranges of the images on the basis of at least one of the following algorithms: relational kernel function (RKF), phase-based method, 2-point or 3-point method, or wavelets.
    • 用于表征纸张形成的方法,其中纸张中存在的图案和/或结构被自动表征和分类。 自动表征和分类包括创建纸样的集合,创建每个单独样本的数字图像,在必要时数字图像的数字预处理,根据数字图像或子范围的子范围计算不同的多维特征 在不同多维特征的计算过程中分析特征空间组成特征,并分析特征空间中的结构特定群体,将结构特定群体的分析结果投入比较 到特征空间 - 低维空间,用于可视化分析结果,并利用新添加样本分类的分析结果。 根据以下算法中的至少一种算法,根据图像的数字图像或子范围进行不同多维特征的计算:关系核函数(RKF),基于相位的方法, 点或3点法,或小波。