Abstract: A method for allocating resource and accessing in open wireless channels includes: covering multiple types of user terminal stations in open wireless channels; making dynamic adaptive matching according to comprehensive change factors of a transmitting end and a receiving end in each communication process. The factors of the transmitting end mean that a type and transmitting capacity of a transmitting station are changed, a current state of the wireless channel between the transmitting station and a relay node is changed, a working state of a receiving end of the relay node is changed, and user services to be transmitted are changed; the factors of the receiving end mean that a type and receiving capacity of a receiving station are changed, a current state of the channel from the relay node to the receiving station is changed, and a working state of a transmitting end of the relay node is changed.

Abstract: A first composition comprising a first ethylene/?-olefin/diene interpolymer and a second ethylene/?-olefin interpolymer, and wherein the first composition comprises from 0.1 to 1.0 wt % diene, based on the weight of the first composition, and wherein the first composition comprises from 40 to 70 wt % ethylene, based on the weight of the first composition.

Abstract: Disclosed is a detergent additive box. The detergent additive box is a closed box structure having a cavity inside. The detergent additive box is provided with a one-way ventilation valve and a liquid outlet. An on-off valve is arranged on the liquid outlet. A suction device is arranged in the detergent additive box. An inlet of the suction device is communicated with the cavity, and an outlet of the suction device is communicated with an inlet of the on-off valve. The detergent additive box of the present disclosure cooperates with a switching mechanism of a washing machine and a feeding pipeline of the washing machine to realize automatic drainage and multi-time drainage, so that the detergent additive box does not need to be mounted at each time of washing.

Abstract: Disclosed is a detergent additive box. The detergent additive box is a closed box structure having a cavity inside. The detergent additive box is provided with a one-way ventilation valve and a liquid outlet. An on-off valve is arranged on the liquid outlet. A suction device is arranged in the detergent additive box. An inlet of the suction device is communicated with the cavity, and an outlet of the suction device is communicated with an inlet of the on-off valve. The detergent additive box of the present disclosure cooperates with a switching mechanism of a washing machine and a feeding pipeline of the washing machine to realize automatic drainage and multi-time drainage, so that the detergent additive box does not need to be mounted at each time of washing.

Abstract: The invention discloses a serial high-temperature gas-cooled reactor nuclear energy system and an operating method thereof. The serial high-temperature gas-cooled reactor nuclear energy system includes a plurality of high-temperature gas-cooled reactors and a serial gas-cooled reactor. The high-temperature gas-cooled reactor includes a first reactor pressure vessel comprising a first reaction chamber for accommodating the first fuel element; a second reactor pressure vessel comprising a second reaction chamber interconnected with the first reaction chamber, allowing the first spent fuel in the first reaction chamber to enter the second reaction chamber.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: An orthodontic self-ligating bracket system with an open auxiliary groove, and a self-ligating bracket. The system includes brackets, wherein each bracket includes a main groove and auxiliary groove, and an elastic baffle plate is between the main and auxiliary grooves; the brackets include first, second and third brackets. The first bracket is arranged on an incisor, the second bracket is arranged on a canine, the third bracket is arranged on a premolar, and the elastic baffle plates of the first bracket, the second bracket and the third bracket are ingeniously arranged, such that an arch wire of the bracket system generates different orthodontic forces at the positions corresponding to different brackets.

Abstract: A virtual scene playback method is disclosed, which comprises: receiving a scene playback instruction and determining playback parameters according to the scene playback instruction, wherein the playback parameters include playback space and playback time; querying virtual space information and user model information corresponding to the playback parameters; and generating virtual scene playback content according to the virtual space information and the user model information. The present disclosure can save all the information in the virtual scene and play back the virtual scene corresponding to specific space and time. A virtual scene playback apparatus, an electronic device and a storage medium are also disclosed, which also have the above beneficial effects.

Abstract: Disclosed are a method and system for transaction management, a network device, and a readable storage medium. The method includes the following. A coordinating node receives a structured query language (SQL) request externally initiated, where the SQL request is forwarded by a master node. The coordinating node decomposes the SQL request into sub-SQL (SubSQL) requests, and transmits each of the SubSQL requests to a corresponding slave node. Each slave node receives and processes a corresponding SubSQL request, transmits execution status information of the corresponding SubSQL request to the coordinating node and/or other slave nodes, and receives execution status information in processing respective SubSQL requests by the other slave nodes. Each particular slave node of one or more of the slave nodes feeds back a current local transaction status set of the particular slave node according to status query information received from the master node or the coordinating node.

Abstract: A method of preparing an antibody carrying a universal site-directed coupling interface based on a genetically modified vertebrate is described. The method of constructs a vertebrate model, the vertebrate model is used to produce an antibody carrying a universal site-directed coupling interface. The method includes site-directly knocking in a coding gene of a specific recognition sequence of a certain ligase A or a coding gene of a certain intein A at a certain position A of a certain coding gene A of the immunoglobulin in the genome of the recipient animal, to obtain the vertebrate model. The modified mice can normally stimulate immune responses, produce a polyclonal antibody and a monoclonal antibody with a site-directed linking site. Antibodies with a site-directed linking site can normally carry out site-directed linking, and add various application groups to realize downstream applications of antibodies, such as ELISA, immunofluorescence staining, and immuno-PCR.

Abstract: The present application discloses a display panel and a display device. The display panel includes pixel areas and transmitting areas in a first display area. The display panel further includes a light-emitting unit layer including light-emitting units, an auxiliary layer, a first electrode layer covering the light-emitting unit layer and at least part of the auxiliary layer, and a transparent auxiliary electrode layer at least covering part of the auxiliary layer and electrically connected to the first electrode layer. A thickness of the first electrode layer on the auxiliary layer is less than a thickness of the first electrode layer on the light-emitting unit layer.

Abstract: An orthodontic self-ligating bracket system with an open auxiliary groove, and a self-ligating bracket. The system includes brackets, wherein each bracket includes a main groove and auxiliary groove, and an elastic baffle plate is between the main and auxiliary grooves; the brackets include first, second and third brackets. The first bracket is arranged on an incisor, the second bracket is arranged on a canine, the third bracket is arranged on a premolar, and the elastic baffle plates of the first bracket, the second bracket and the third bracket are ingeniously arranged, such that an arch wire of the bracket system generates different orthodontic forces at the positions corresponding to different brackets.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: This disclosure provides high-definition maps and their generation and usage methods and systems. In an implementation, a high-definition map comprises: a plurality of map elements, wherein each of the plurality of map elements comprises an ID corresponding to the map element, wherein at least one of the plurality of map elements comprises general data and sensitive data, the general data comprises data disclosable according to law, wherein the sensitive data comprises data not disclosable according to the law, and wherein general data and sensitive data in a same map element have a same identifier ID.

Abstract: In an image recognition method, a terminal determines, based on first positioning information, target object information corresponding to building information in a to-be-recognized image in desensitized map data. The desensitized map data does not include a sensitive building. Then, when the terminal determines that the target object information does not include the building information, the terminal determines that the map data does not include the building information. In this case, the terminal determines to recognize the building information as a sensitive building. In other words, the terminal may recognize, by using the desensitized map data, building information corresponding to a sensitive building in the to-be-recognized image.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: Embodiments are generally directed to dynamically dividing activations and kernels for improving memory efficiency. An embodiment of a method in a compute engine performing machine learning comprises: receiving, by a convolutional layer of a convolutional neural network (CNN) implemented on the compute engine, a plurality of activation groups contained in an input data, wherein the convolutional layer includes one or more kernel groups and the one or more kernel groups each include a plurality of kernels; determining a plurality of memory efficiency metrics based on the number of activation groups of the plurality of activation groups and the number of kernels of the plurality of kernels; selecting a first optimal number of activation groups and a second optimal number of kernels that are associated with an optimal memory efficiency metric in the plurality of memory efficiency metrics; and performing a convolutional operation on the input data based on the first optimal number and the second optimal number.

Abstract: This invention provides a network element data access processing method and a network management system. In the network management system, a virtual network element is disposed between a network management server and at least one network element device; the virtual network element stores backup data of service data in one or more network element devices; the network management server implements access of service data in a network element device by accessing backup data that is of the service data in the network element device and stored in the virtual network element, so as to implement that the network management server accesses the service data in the network element device without relying on an interface of the network element device any longer, thereby improving access efficiency of accessing the service data by the network management server.