Abstract: Disclosed herein, inter alia, are compounds, compositions, and methods of use thereof in the sequencing of a nucleic acid.

Abstract: A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.

Abstract: A method for compensating steering wheel feel, is applied to a vehicle. The vehicle includes a first motor, a second motor, and a third motor. The first motor is configured to drive a left front wheel of the vehicle, the second motor is configured to drive a right front wheel of the vehicle, and the third motor is configured to drive a steering gear. The method includes: obtaining a traveling status and a steering status of the vehicle, and determining a compensation manner of the third motor; obtaining a driving torque of the first motor and a driving torque of the second motor, and determining a compensation torque for the third motor; and applying the compensation torque for the third motor to the third motor based on the compensation manner.

Abstract: A method for synthesizing peptide thioesters and a head-to-tail amide cyclic peptide thereof, which belongs to the technical field of chemical pharmaceuticals and fine chemical preparation. The method comprises the following steps: (1) using resin A as a carrier and using a solid-phase synthesis strategy to obtain a resin peptide; (2) cutting the resin to obtain a fully protected peptide; (3) performing an esterification reaction with p-chlorophenyl thiophenol in a TCFH/alkali condensation system to generate p-chlorophenyl thioester; (4) removing the protecting group to obtain a peptide thioester; and (5) further cyclizing to obtain a head-to-tail cyclic peptide. The preparation of the thioester peptide and the head-to-tail amide cyclic peptide provides a simple technical route with wide universality and a high yield, and has a wide range of applications in the technology of chemical pharmaceuticals and fine chemical preparation.

Abstract: A method of a polyurethane foam includes the following steps of: (1) simultaneously pumping a mixed solution prepared from hydrogen peroxide, an organic acid, a catalyst and a stabilizer and a vegetable oil into a first microstructured reactor of a micro-channel modular reaction device for reacting to obtain a reaction solution containing epoxidized vegetable oil; (2) simultaneously pumping the reaction solution containing the epoxidized vegetable oil obtained from the step (1) and a compound of formula III into a second microstructured reactor of the micro-channel modular reaction device for reaction to obtain a vegetable oil polyol; and (3) reacting the vegetable oil polyol prepared from the step (2) with a foam stabilizer, a cyclohexylamine, an isocyanate and a foaming agent cyclopentane for foaming so as to prepare a rigid polyurethane foam.

Abstract: A preparation method of a flexible polyurethane foam includes the following steps of: (1) subjecting an epoxidized vegetable oil, a benzoylformic acid, a basic catalyst, and an inert solvent to a ring-opening reaction in a first microchannel reactor of a microchannel reaction device to obtain a vegetable oil polyol; (2) subjecting the vegetable oil polyol obtained in the step (1), a propylene oxide and an inert solvent to an addition polymerization reaction in a second microchannel reactor of the microchannel reaction device to obtain a vegetable oil polyol for flexible polyurethane foam; and (3) using the vegetable oil polyol for flexible polyurethane foam obtained in the step (2) as the unique polyol, and subjecting the same and an isocyanate polyol to a foaming reaction to obtain the flexible polyurethane foam.

Abstract: Embodiments of the disclosure disclose a method, an apparatus, a computer device, and a storage medium for inpainting an image. In an embodiment, an image inpainting method includes: determining, from a target image, a first region to be inpainted and a second region that is not to be inpainted; performing feature extraction on the second region based on different receptive fields and spatial resolutions, to obtain feature information of a plurality of scales; generating a texture of the first region based on the feature information of the plurality of scales; and filling the first region in the target image with the generated texture, to obtain an inpainted image.

Abstract: Embodiments of this disclosure include an image enhancement method and apparatus. The image enhancement may include obtaining an original image and performing synthesis processing on features of the original image to obtain a first illumination map corresponding to the original image. A resolution of the first illumination map may be lower than a resolution of the original image. The image enhancement may further include obtaining, based on the first illumination map, a mapping relationship between an image to an illumination map and performing mapping processing on the original image based on the mapping relationship to obtain a second illumination map. A resolution of the second illumination map may be equal to the resolution of the original image. The image enhancement may further include performing image enhancement processing on the original image according to the second illumination map to obtain a target image.

Abstract: Embodiments of this application disclose a training method using image processing model for processing blurry images. The method includes obtaining a sample pair comprising a clear image and a corresponding blurry image; the sharpness of the clear image being greater than a preset threshold, the sharpness of the blurry image being less than the preset threshold; activating the image processing model to perform sharpness restoration on the blurry image to obtain a restored image; and updating network parameters of a first network and network parameters of a second network in the image processing model according to the restored image and the clear image to obtain a trained image processing model; the network parameters of the first network and the network parameters of the second network meeting a selective sharing condition indicating whether the network parameters between the first network and the second network are shared or independent.

Abstract: The present application concerns the treatment and prevention of diseases associated with an increased risk of sudden unexpected death in epilepsy, such as Fragile X syndrome, by administering a selective 5-HT1A receptor agonist

Abstract: A method and apparatus for processing a video is provided. A current image frame of a video and a mask for a first area are obtained. The Image included in the first area is to be removed from the current image frame. A first resultant image of the current image frame is obtained with an image processing network based on the current image frame and the mask. The first resultant image is an image from which the image included in the first area is removed from the current image frame. A second resultant image of a previous image frame of the current image frame is obtained. The second resultant image is an image from which the image included in the second area is removed from the previous image frame. A final resultant image of the current image frame is obtained by fusing the first resultant image and the second resultant image.

Abstract: A method and apparatus for processing a video is provided. A current image frame of a video and a mask for a first area are obtained. The Image included in the first area is to be removed from the current image frame. A first resultant image of the current image frame is obtained with an image processing network based on the current image frame and the mask. The first resultant image is an image from which the image included in the first area is removed from the current image frame. A second resultant image of a previous image frame of the current image frame is obtained. The second resultant image is an image from which the image included in the second area is removed from the previous image frame. A final resultant image of the current image frame is obtained by fusing the first resultant image and the second resultant image.

Abstract: An image processing method and device, storage medium and electronic device for deblurring an image. The method includes obtaining an image processing instruction including an instruction to deblur a target blurred image; obtaining a target model by training an original model based on a plurality of sample images of different scales, one of the plurality of sample images being a blurred image composed of a plurality of clear images, and the obtained target model being used for deblurring the blurred image to obtain a clear image; based on the image processing instruction, using the target model to deblur the target blurred image to obtain a target clear image; and outputting the target clear image.

Abstract: This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set.

Abstract: Embodiments of this application disclose a training method using image processing model for processing blurry images. The method includes obtaining a sample pair comprising a clear image and a corresponding blurry image; the sharpness of the clear image being greater than a preset threshold, the sharpness of the blurry image being less than the preset threshold; activating the image processing model to perform sharpness restoration on the blurry image to obtain a restored image; and updating network parameters of a first network and network parameters of a second network in the image processing model according to the restored image and the clear image to obtain a trained image processing model; the network parameters of the first network and the network parameters of the second network meeting a selective sharing condition indicating whether the network parameters between the first network and the second network are shared or independent.

Abstract: Embodiments of this disclosure include an image enhancement method and apparatus. The image enhancement may include obtaining an original image and performing synthesis processing on features of the original image to obtain a first illumination map corresponding to the original image. A resolution of the first illumination map may be lower than a resolution of the original image. The image enhancement may further include obtaining, based on the first illumination map, a mapping relationship between an image to an illumination map and performing mapping processing on the original image based on the mapping relationship to obtain a second illumination map. A resolution of the second illumination map may be equal to the resolution of the original image. The image enhancement may further include performing image enhancement processing on the original image according to the second illumination map to obtain a target image.

Abstract: Embodiments of the disclosure disclose a method, an apparatus, a computer device, and a storage medium for inpainting an image. In an embodiment, an image inpainting method includes: determining, from a target image, a first region to be inpainted and a second region that is not to be inpainted; performing feature extraction on the second region based on different receptive fields and spatial resolutions, to obtain feature information of a plurality of scales; generating a texture of the first region based on the feature information of the plurality of scales; and filling the first region in the target image with the generated texture, to obtain an inpainted image.

Abstract: An image processing method and device, storage medium and electronic device for deblurring an image. The method includes obtaining an image processing instruction including an instruction to deblur a target blurred image; obtaining a target model by training an original model based on a plurality of sample images of different scales, one of the plurality of sample images being a blurred image composed of a plurality of clear images, and the obtained target model being used for deblurring the blurred image to obtain a clear image; based on the image processing instruction, using the target model to deblur the target blurred image to obtain a target clear image; and outputting the target clear image.

Abstract: A series of hepatitis C virus (HCV) inhibitors and compositions and applications thereof in the preparation of drugs for treating chronic HCV infection. Especially, a series of compounds that are used as NS5A inhibitors, and compositions and uses thereof in the preparations of drugs.