Abstract: An authority control system includes a biometric identification unit, a near field communication (NFC) signal transmission unit, and an NFC signal receiving unit. The biometric identification unit stores associated data, configured to obtain first biometric data, obtains encoded data according to the first biometric data and the associated data, and transmits the encoded data. The NFC signal transmission unit is configured to receive the encoded data transmitted by the biometric identification unit, and transmit the encoded data by using an NFC transmission technology. The NFC signal receiving unit stores authorization type comparison data. The NFC signal receiving unit is configured to receive the encoded data transmitted by the NFC signal transmission unit, and determines an authorization type according to the encoded data and the authorization type comparison data.

Abstract: A semiconductor device and a method of forming the same is disclosed. The semiconductor device includes a substrate, a first well region disposed within the substrate, a second well region disposed adjacent to the first well region and within the substrate, and an array of well regions disposed within the first well region. The first well region includes a first type of dopants, the second well region includes a second type of dopants that is different from the first type of dopants, and the array of well regions include the second type of dopants. The semiconductor device further includes a metal silicide layer disposed on the array of well regions and within the substrate, a metal silicide nitride layer disposed on the metal silicide layer and within the substrate, and a contact structure disposed on the metal silicide nitride layer.

Abstract: The present disclosure discloses an image enlarging apparatus having deep learning mechanism. A deep learning circuit includes an image downsizing circuit, an image characteristic analyzing circuit, a weighting reallocating circuit and an image upsizing circuit. The image downsizing circuit downsizes an input image to generate a downsized image. The image characteristic analyzing circuit analyzes the downsized image according to image characteristics to generate categorized images. The weighting reallocating circuit performs weighting reallocating on the categorized images according to image weighting parameters corresponding to the image characteristics to generate weighting reallocated images. The image upsizing circuit upsizes the weighting reallocated images to generate adjusted images. A concatenating circuit concatenates the input image and the adjusted images to generate concatenated images.

Abstract: An image sensor device includes a semiconductor substrate, a radiation sensing member, a shallow trench isolation, and a color filter layer. The radiation sensing member is in the semiconductor substrate. An interface between the radiation sensing member and the semiconductor substrate includes a direct band gap material. The shallow trench isolation is in the semiconductor substrate and surrounds the radiation sensing member. The color filter layer covers the radiation sensing member.

Abstract: A method for labeling an image object and a circuit system are provided. In the method, an object classification method is used to segment an image into one or more regions. Each of the regions can be classified into one classification assigned with a classification label. A depth estimation method is used to estimate a depth of each pixel of the image. Whether or not the depth of the pixel matches the classification of the region to which the pixel belongs is determined. When the depth of the pixel matches the classification of the region, a post-processing process is performed on the image based on weights assigned to the regions according to the classification label of the region. Conversely, when the depth of the pixel does not match the classification of the region, the pixel is regarded as noise that does not require the post-processing process.

Abstract: The present application provides an image processing method and an image processing system. The image processing method includes: obtaining a first image matrix; generating a first classified image matrix, wherein the first classified image matrix Includes a plurality of parts corresponding to a plurality of classification; obtaining a plurality of weightings, for a first image process, corresponding to the plurality of parts of the first classified image matrix, and generating a first weighting matrix accordingly; and performing the first image process upon the first image matrix according to the first weighting matrix to generate a first processed image matrix.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.

Abstract: The present application provides an image processing method and an image processing system. The image processing method includes: obtaining a first image matrix; generating a first classified image matrix, wherein the first classified image matrix Includes a plurality of parts corresponding to a plurality of classification; obtaining a plurality of weightings, for a first image process, corresponding to the plurality of parts of the first classified image matrix, and generating a first weighting matrix accordingly; and performing the first image process upon the first image matrix according to the first weighting matrix to generate a first processed image matrix.

Abstract: Disclosed herein are humanized antibodies, antigen-binding fragments thereof, and antibody conjugates, that are capable of specifically binding to certain biantennary Lewis antigens, which antigens are expressed in a variety of cancers. The presently disclosed antibodies are useful to target antigen-expressing cells for treatment or detection of disease, including various cancers. Also provided are polynucleotides, vectors, and host cells for producing the disclosed antibodies and antigen-binding fragments thereof. Pharmaceutical compositions, methods of treatment and detection, and uses of the antibodies, antigen-binding fragments, antibody conjugates, and compositions are also provided.