Abstract: A method for manufacturing a semiconductor device includes: providing a wafer-bonding stack structure having a sidewall layer and an exposed first component layer; forming a photoresist layer on the first component layer; performing an edge trimming process to at least remove the sidewall layer; and removing the photoresist layer. In this way, contaminant particles generated from the blade during the edge trimming process may fall on the photoresist layer but not fall on the first component layer, so as to protect the first component layer from being contaminated.

Abstract: The present invention is related to a method or a pharmaceutical composition for treatment or prevention of a cancer through blocking the interaction of ?4 integrin and focal adhesion kinase (FAK).

Abstract: A quantification method and an imaging method are disclosed, capable of quantifying the margin feature, the cysts feature, the calcifications feature, the echoic feature and the heterogenesis feature of a tumor, and capable of imaging the margin feature, the cysts feature, the calcifications feature and the heterogenesis feature of a tumor. The quantification method and the imaging method calculate the moving variance of the gray scale of each of the pixel points based on the gradient value of the gray scale of these pixel points. Then, depending on the purpose of the quantification method or the imaging method, the maximum value, the minimum value, the mean value, and the standard deviation of the moving variance of the gray scale of these pixel points are calculated, respectively. At final, with the definition of the threshold value and the imaging rule, the above features of the tumor are quantified or imaged.

Abstract: The present invention relates to a method for multi-layer classifier applying on a computer readable medium for classifying multiple image samples. The method at least comprising the following steps: (a) receiving a plurality of samples; (b) providing a plurality of attributes, and evaluating a significance of the attributes by a selection criterion; (c) selecting at least one cut-point to establish a discriminant analysis model; (d) proceeding a step of evaluating a performance of the discriminant analysis model by adding the attributes to the discriminant analysis model; and (e) providing a stop criterion. The present invention also provides a computer readable medium for classifying multiple image samples by using the method for multi-layer classifier.

Abstract: The present invention relates to a method for multi-layer classifier applying on a computer readable medium for classifying multiple image samples. The method at least comprising the following steps: (a) receiving a plurality of samples; (b) providing a plurality of attributes, and evaluating a significance of the attributes by a selection criterion; (c) selecting at least one cut-point to establish a discriminant analysis model; (d) proceeding a step of evaluating a performance of the discriminant analysis model by adding the attributes to the discriminant analysis model; and (e) providing a stop criterion. The present invention also provides a computer readable medium for classifying multiple image samples by using the method for multi-layer classifier.

Abstract: A quantification method and an imaging method are disclosed, capable of quantifying the margin feature, the cysts feature, the calcifications feature, the echoic feature and the heterogenesis feature of a tumor, and capable of imaging the margin feature, the cysts feature, the calcifications feature and the heterogenesis feature of a tumor. The quantification method and the imaging method calculate the moving variance of the gray scale of each of the pixel points based on the gradient value of the gray scale of these pixel points. Then, depending on the purpose of the quantification method or the imaging method, the maximum value, the minimum value, the mean value, and the standard deviation of the moving variance of the gray scale of these pixel points are calculated, respectively. At final, with the definition of the threshold value and the imaging rule, the above features of the tumor are quantified or imaged.

Abstract: The present invention relates to methods and kits for treating, reducing, or preventing autoimmune conditions such as rheumatoid arthritis by administering to a mammal in need thereof an agent that modulates the expression level or biological activity of Toll-like receptor-9 (TLR-9). Also disclosed are screening methods that make use of TLR-9 for the identification of novel therapeutics for autoimmune conditions.

Abstract: The present invention relates to methods and kits for treating, reducing, or preventing autoimmune conditions such as rheumatoid arthritis by administering to a mammal in need thereof an agent that modulates the expression level or biological activity of Toll-like receptor-9 (TLR-9). Also disclosed are screening methods that make use of TLR-9 for the identification of novel therapeutics for autoimmune conditions.