Abstract: There is provided a controlled-release antibiotic socket for securely holding an implantable medical device that is made from: at least one film having at least one polymer layer, where the at least one film is formed into the socket; at least one antibiotic agent; and at least one opening in the socket, where the at least one polymer layer comprises a biodegradable elastomeric polymeric material; and the at least one antibiotic agent is dispersed within at least one of the at least one polymer layers and/or, when the film comprises at least two polymer layers, the at least one antibiotic agent is disposed as a separate layer between two polymer layers. Also disclosed is the film used to make the socket and uses of both the socket and film.

Abstract: This application provides a method and device for transmitting data. This is advantageous to improving data transmission efficiency. The method includes: sending, by a first device, indication information to a second device, where the indication information indicates a first sending manner for a first transport block, and the first sending manner is one of at least two sending manners; and sending, by the first device, the first transport block based on the first sending manner, or receiving, by the first device, the first transport block based on the first sending manner.

Abstract: This application discloses a channel quality feedback method and apparatus, and the channel quality feedback method includes the following steps: determining, by a network device, a channel quality indicator set of a terminal device, where the channel quality indicator set includes at least one channel quality indicator value, and the channel quality indicator value is used to indicate channel quality; and sending, by the network device, the channel quality indicator set to the terminal device.

Abstract: The present invention discloses a carbon fiber spoke and a manufacturing method thereof. The carbon fiber spoke includes a spoke body made of carbon fiber, a screw bushing that is fit and connected with rim and a nut cap bushing that is fit and connected with the hub. Two end parts of the spoke body are provided with solid joints. The outside surface of the solid joint is provided with a first tapered section. The screw bushing and the nut cap bushing are provided with penetrable mounting holes. The hole wall surrounding the mounting hole is provided with a second tapered section. The mounting hole of the screw bushing and the mounting hole of the nut cap bushing are respectively fixed to the two solid joints; the second tapered section of the mounting hole and the first tapered section of the solid joint are fit and connected together.

Abstract: The present invention discloses a carbon fiber spoke and a manufacturing method thereof. The carbon fiber spoke includes a spoke body made of carbon fiber, a screw bushing that is fit and connected with rim and a nut cap bushing that is fit and connected with the hub. Two end parts of the spoke body are provided with solid joints. The outside surface of the solid joint is provided with a first tapered section. The screw bushing and the nut cap bushing are provided with penetrable mounting holes. The hole wall surrounding the mounting hole is provided with a second tapered section. The mounting hole of the screw bushing and the mounting hole of the nut cap bushing are respectively fixed to the two solid joints; the second tapered section of the mounting hole and the first tapered section of the solid joint are fit and connected together.

Abstract: This application discloses a channel quality feedback method and apparatus, and the channel quality feedback method includes the following steps: determining, by a network device, a channel quality indicator set of a terminal device, where the channel quality indicator set includes at least one channel quality indicator value, and the channel quality indicator value is used to indicate channel quality; and sending, by the network device, the channel quality indicator set to the terminal device.

Abstract: This application provides a method and device for transmitting data. This is advantageous to improving data transmission efficiency. The method includes: sending, by a first device, indication information to a second device, where the indication information indicates a first sending manner for a first transport block, and the first sending manner is one of at least two sending manners; and sending, by the first device, the first transport block based on the first sending manner, or receiving, by the first device, the first transport block based on the first sending manner.

Abstract: This application provides data transmission methods and devices. The method includes: determining, by a first device, a first resource and a second resource that are used to send a first transport block, where the first resource and the second resource are discontinuous in time domain; sending, by the first device, the first transport block to a second device on the first resource; and sending, by the first device, the first transport block to the second device on the second resource.

Abstract: A blur classification module may compute the probability that a given pixel in a digital image was blurred using a given two-dimensional blur kernel, and may store the computed probability in a blur classification probability matrix that stores probability values for all combinations of image pixels and the blur kernels in a set of likely blur kernels. Computing these probabilities may include computing a frequency power spectrum for windows into the digital image and/or for the likely blur kernels. The blur classification module may generate a coherent mapping between pixels of the digital image and respective blur states, and/or may perform a segmentation of the image into blurry and sharp regions, dependent on values stored in the matrix. Input image data may be pre-processed. Blur classification results may be employed in image editing operations to automatically target image subjects or background regions, or to estimate the depth of image elements.

Abstract: A blur classification module may compute the probability that a given pixel in a digital image was blurred using a given two-dimensional blur kernel, and may store the computed probability in a blur classification probability matrix that stores probability values for all combinations of image pixels and the blur kernels in a set of likely blur kernels. Computing these probabilities may include computing a frequency power spectrum for windows into the digital image and/or for the likely blur kernels. The blur classification module may generate a coherent mapping between pixels of the digital image and respective blur states, and/or may perform a segmentation of the image into blurry and sharp regions, dependent on values stored in the matrix. Input image data may be pre-processed. Blur classification results may be employed in image editing operations to automatically target image subjects or background regions, or to estimate the depth of image elements.

Abstract: A blur classification module may compute the probability that a given pixel in a digital image was blurred using a given two-dimensional blur kernel, and may store the computed probability in a blur classification probability matrix that stores probability values for all combinations of image pixels and the blur kernels in a set of likely blur kernels. Computing these probabilities may include computing a frequency power spectrum for windows into the digital image and/or for the likely blur kernels. The blur classification module may generate a coherent mapping between pixels of the digital image and respective blur states, or may perform a segmentation of the image into blurry and sharp regions, dependent on values stored in the matrix. Input image data may be pre-processed. Blur classification results may be employed in image editing operations to automatically target image subjects or background regions, or to estimate the depth of image elements.

Abstract: A blur classification module may compute the probability that a given pixel in a digital image was blurred using a given two-dimensional blur kernel, and may store the computed probability in a blur classification probability matrix that stores probability values for all combinations of image pixels and the blur kernels in a set of likely blur kernels. Computing these probabilities may include computing a frequency power spectrum for windows into the digital image and/or for the likely blur kernels. The blur classification module may generate a coherent mapping between pixels of the digital image and respective blur states, or may perform a segmentation of the image into blurry and sharp regions, dependent on values stored in the matrix. Input image data may be pre-processed. Blur classification results may be employed in image editing operations to automatically target image subjects or background regions, or to estimate the depth of image elements.

Abstract: A system for analyzing a brain ventricle (8) is described. The system comprises an edge detector (52) for identifying an edge point (17) on an edge of the brain ventricle. Also, a length measurer (53) is provided for establishing a length measure of a path (10) starting from a central point (5) of the brain ventricle and terminating at the edge point (17). The edge detector (52) is arranged for detecting an edge point at an end of a lobe of the brain ventricle, the length measure corresponding to an extent of the lobe.