Abstract: A neutron capture therapy system, which can reduce secondary radiation and radiation damage caused by the action of recoil neutrons generated in the process of generating neutron beams by a beam transmission portion and a neutron beam generation portion. The neutron capture therapy system comprises an accelerator, the beam transmission portion, and the neutron beam generation portion; the accelerator accelerates charged particles to generate charged particle beams; the beam transmission portion transmits the charged particle beams generated by the accelerator to the neutron beam generation portion; the neutron beam generation portion generates neutron beams for treatment; and the neutron capture therapy system comprises a beam transmission shielding component for the beam transmission portion.

Abstract: Compounds and pharmaceutical compositions that modulate kinase activity, including mutant EGFR and mutant HER2 kinase activity, and compounds, pharmaceutical compositions, and methods of treatment of diseases and conditions associated with kinase activity, including mutant EGFR and mutant HER2 activity, are described herein.

Abstract: An electronic device may include scaling circuitry to scale input pixel data to a greater resolution. The directional scaling circuitry may include first interpolation circuitry to receive best mode data, including one or more angles corresponding to content of the image and interpolate first pixel values at first pixel positions diagonally offset from input pixel positions of the input pixel data based on the best mode data and input pixel values corresponding to the input pixel positions. The directional scaling circuitry may also include second interpolation circuitry to receive the best mode data and the input pixel values and interpolate second pixel values at second pixel positions horizontally or vertically offset from the input pixel positions based at least in part on the best mode data and the input pixel values.

Abstract: A device may include an electronic display to display an image frame based on blended image data and image processing circuitry to generate the blended image data by combining first image data and second image data via a blend operation. The blend operation may include receiving graphics alpha data indicative of a transparency factor to be applied to the first image data to generate a first layer of the blend operation. The blend operation may also include overlaying the first layer onto a second layer that is based on the second image data. Overlaying the first layer onto the second layer may include adding first pixels values of the first image data that include negative pixel values and are augmented by the transparency factor to second pixel values of the second image data to generate blended pixel values of the blended image data.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: Embodiments relate to a super-resolution engine that converts a lower resolution input image into a higher resolution output image. The super-resolution engine includes a directional scaler, an enhancement processor, a feature detection processor, a blending logic circuit, and a neural network. The directional scaler generates directionally scaled image data by upscaling the input image. The enhancement processor generates enhanced image data by applying an example-based enhancement, a peaking filter, or some other type of non-neural network image processing scheme to the directionally scaled image data. The feature detection processor determines features indicating properties of portions of the directionally scaled image data. The neural network generates residual values defining differences between a target result of the super-resolution enhancement and the directionally scaled image data. The blending logic circuit blends the enhanced image data with the residual values according to the features.

Abstract: A material tracking and management system is disclosed, which comprises multi electronic tags respectively connected to containers, a first electronic device, and a second electronic device. After the containers are placed in a storage environment, the first electronic device accesses each electronic tag to acquire a cold storage condition for the material accommodated in the container, and detects an ambient temperature of the storage environment through a temperature sensor. As a result, the first electronic device calculates an adjustment parameter for adjusting the expiration date based on the ambient temperature and the cold storage condition. After the container is transported to a user environment, the second electronic device accesses the electronic tag to acquire the adjustment parameter and a regular expiration date, thereby adjusting the regular expiration date to an instant expiration date.

Abstract: An electronic device may include enhancement circuitry to enhance high resolution image data to improve perceived quality of an image corresponding to the high resolution image data. The enhancement circuitry may include tone detection circuitry to determine one or more tones within the image and apply changes to the high resolution image data based on the one or more tones. The enhancement circuitry may also include example-based improvement circuitry to compare the high resolution image data to low resolution image data and apply changes to the high resolution image data based on differences between sections of the high resolution image data and sections of the low resolution image data. The enhancement circuitry may also include channel processing circuitry to apply the first and second changes to one or more channels of the high resolution image data.

Abstract: An encryption method applied to an encryption system is disclosed. The encryption system includes a transmission module, an encryption module and a memory. The memory contains n data, where n is an integer and n?0, and the n data are encrypted by the encryption module. The multiple encryption method includes: via the transmission module, receiving an encryption request and an n+1th data; storing the n+1th data in the memory; via the encryption module, according to the encryption request, encrypting the n data and the n+1th data to form an encrypted data.

Abstract: The present invention discloses Fuke Qianjin Tablets and a quality control method therefor. The Fuke Qianjin Tablets are made of Radix Et Caulis Flemingiae, Caulis Mahoniae, Herba Andrographis, Zanthoxylum dissitum Hemsl., Caulis Spatholobi, Radix Angelicae Sinensis, Radix Codonopsis, and Radix Rosa Laevigata as raw materials. Each of the Fuke Qianjin Tablets contains not less than 0.008 mg of the genistin, not less than 0.7 mg of the Z-ligustilide, and the total amount of the andrographolide and the dehydroandrographolide is not less than 1.1 mg.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: Embodiments relate to a super-resolution engine that converts a lower resolution input image into a higher resolution output image. The super-resolution engine includes a directional scaler, an enhancement processor, a feature detection processor, a blending logic circuit, and a neural network. The directional scaler generates directionally scaled image data by upscaling the input image. The enhancement processor generates enhanced image data by applying an example-based enhancement, a peaking filter, or some other type of non-neural network image processing scheme to the directionally scaled image data. The feature detection processor determines features indicating properties of portions of the directionally scaled image data. The neural network generates residual values defining differences between a target result of the super-resolution enhancement and the directionally scaled image data. The blending logic circuit blends the enhanced image data with the residual values according to the features.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: The present invention discloses Fuke Qianjin Capsules and a quality control method therefor. The capsules are made of Radix Et Caulis Flemingiae, Caulis Mahoniae, Herba Andrographis, Zanthoxylum dissitum Hemsl., Caulis Spatholobi, Radix Angelicae Sinensis, Radix Codonopsis, and Radix Rosa Laevigata as raw materials. Each of the Fuke Qianjin Capsules contains not less than 2.0 mg of Z-ligustilide, and a total amount of andrographolide and dehydroandrographolide is not less than 1.9 mg. A new standard for controlling quality of the Fuke Qianjin Capsules has been established through an analysis of chemical ingredients in the Fuke Qianjin Capsules. This standard adds a variety of core ingredient content to the existing pharmacopoeia standards. According to the Fuke Qianjin Capsules made in this range, the consistency of effects between different batches is more stable. Moreover, the more the types of core ingredients are limited, the more stable the consistency of the drug effect.