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    • 1. 发明专利
    • 3,5,3'-triiodothyronine sulfate as thyroid hormone preparation and pharmaceutical formulation thereof
    • 3,5,3'-三硫代吗啉硫酸盐作为甲醛激素的制备和药物制剂
    • JP2011102306A
    • 2011-05-26
    • JP2010288189
    • 2010-12-24
    • Bracco Spaブラッコ エッセ ピ ア
    • PINCHERA ALDOSANTINI FERRUCCIO
    • A61K31/198A61P5/14A61P37/02
    • A61K31/198A61K9/20A61K31/197
    • PROBLEM TO BE SOLVED: To provide a drug effective for the treatment of pathologies due to organic deficiency of triiodothyronine (T3), for example, original hypothyroidism from autoimmune thyroid diseases, hormonal production defects, thyroidectomy, congenital hypothyroidism, as well as some disorders due to reduced activity of type I 5'-iodothyronine monodeiodinase (type I MD) which is induced, for example, by hypothyroidism, non thyroidal systemic illnesses, fast, and selenium shortage. SOLUTION: There are provided a method of using triiodothyronine sulfate, as such or in association with thyroxine (T 4 ), as a drug which activates thyroids, and pharmaceutical formulations therefor. COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:提供一种有效治疗由于三碘甲状腺原氨酸(T3)的有机缺乏引起的病理学的药物,例如,自身免疫性甲状腺疾病,激素产生缺陷,甲状腺切除术,先天性甲状腺功能减退的原发性甲状腺功能减退,以及 由于例如由甲状腺功能减退,非甲状腺全身性疾病,快速和硒缺乏引起的I型5'-碘代甲状腺原酸脱氧尿苷酶(I型MD)的活性降低而引起的一些障碍。 解决方案:提供了一种使用三碘甲状腺原氨酸硫酸酯的方法,如甲状腺素(T 4 )或与甲状腺素(T 4 )相关联,作为激活甲状腺的药物及其药物制剂。 版权所有(C)2011,JPO&INPIT
    • 10. 发明申请
    • METHOD OF PROCESSING MULTICHANNEL AND MULTIVARIATE SIGNALS AND METHOD OF CLASSIFYING SOURCES OF MULTICHANNEL AND MULTIVARIATE SIGNALS OPERATING ACCORDING TO SUCH PROCESSING METHOD
    • 多通道和多重信号的处理方法以及根据这种处理方法操作的多通道和多重信号分类源的方法
    • WO2007141325A1
    • 2007-12-13
    • PCT/EP2007/055646
    • 2007-06-08
    • BRACCO SPASEMEIONBUSCEMA, Paolo Massimo
    • BUSCEMA, Paolo Massimo
    • G06K9/62
    • G06K9/6247G06K9/6273
    • A method of processing multichannel and multivariate signals as described hereinbefore, wherein the signals from each channel are subjected to a first processing step by a recirculation artificial neural network being trained to generate the recorded multichannel and multivariate signals; and a second processing step in which the weights of the connections between the knots of the recirculation neural network determined in the first processing step are processed by an artificial neural network, the recirculation neural network being preferably of the non supervised kind. A particular family of recirculation neural network which can be used according to the present invention is a so called auto-associative neural network. The method further provides, in combination, the use of a predictive and/or classification and/or clustering algorithm for determining the qualities or features of objects from the multichannel multivariate signals generated by said object, the weight matrix obtained by processing said multichannel and multivariate signals with a self-associated neural network being used as records for representing said multichannel and multivariate signals. The method is used for patients suffering from neurological disorders for analysing and evaluating the EEG patterns of these patients.
    • 一种如上文所述处理多通道和多变量信号的方法,其中来自每个通道的信号经受​​正在被训练以产生所记录的多通道和多变量信号的再循环人造神经网络的第一处理步骤; 以及第二处理步骤,其中在第一处理步骤中确定的再循环神经网络的节点之间的连接的权重由人造神经网络处理,再循环神经网络优选地是非监督类型。 可以根据本发明使用的特定的再循环神经网络族是所谓的自相关神经网络。 该方法组合地进一步提供使用预测和/或分类和/或聚类算法来从所述对象产生的多通道多变量信号中确定对象的质量或特征,通过处理所述多通道和多变量获得的权重矩阵 具有自相关神经网络的信号被用作表示所述多通道和多变量信号的记录。 该方法用于患有神经障碍的患者,用于分析和评估这些患者的EEG模式。