Abstract: An example image forming apparatus includes a main body, a driving motor, a developing cartridge, and a clutch. The developing cartridge includes a toner container, a mounting portion to receive a toner refill cartridge, a toner inlet portion to connect the mounting portion to the toner container, and a toner inlet shutter to be switched between a blocking location for blocking the toner inlet portion and an inlet location for opening the toner inlet portion. The clutch is to selectively transmit a driving force of the driving motor to the toner inlet shutter.

Abstract: This application provides picture or audio encoding and decoding methods and apparatuses, and relates to the field of artificial intelligence (AI)—based picture or audio encoding and decoding technologies, and specifically, to the field of neural network-based picture feature map or audio feature variable encoding and decoding technologies. The encoding method includes: obtaining a to-be-encoded target, where the to-be-encoded target includes a plurality of feature elements, and the plurality of feature elements include a first feature element. The method further includes: obtaining a probability estimation result of the first feature element; determining, based on the probability estimation result of the first feature element, whether to perform entropy encoding on the first feature element; and performing entropy encoding on the first feature element only when it is determined that entropy encoding needs to be performed on the first feature element.

Abstract: Embodiments include a picture reconstruction method and apparatus for a video picture. The picture reconstruction method includes: obtaining a prediction mode of a current coding unit, and/or obtaining a prediction partition mode of the current coding unit, where the current coding unit includes a luma coding block and a chroma coding block, and the prediction partition mode is a mode of splitting the current coding unit into prediction blocks or prediction units; obtaining a transform block of the current coding unit based on the prediction partition mode and/or the prediction mode; and generating a reconstructed picture block of the current coding unit based on the transform block. According to the method in the embodiments, video coding efficiency can be improved.

Abstract: Semiconductor structures and methods for forming the same are provided. A method according to the present disclosure includes forming active regions on a substrate, forming an interconnect structure over the active regions, the interconnect structure including a plurality of dielectric layers and a guard ring disposed within the dielectric layers, etching an opening through the interconnect structure and at least a first portion of the active regions, the opening extending into the substrate, and forming a via structure within the opening. The via structure is surrounded by the guard ring when viewed along a direction perpendicular to a top surface of the substrate.

Abstract: The disclosure relates to the technical field of new foaming materials, in particular to a preparation method of a microporous foam material with oriented cells, which comprises the following steps: (1) melting and mixing raw materials for preparing a polymer composite material, and then carrying out hot stretching to obtain polymer composite fibers; the raw materials comprise a polymer matrix, a fiber-forming phase substance and a processing aid; (2) arranging the polymer composite fibers prepared in the step (1) in the same direction, and performing hot pressing to obtain a polymer composite board with oriented fibers; and (3) carrying out supercritical fluid foaming on the polymer composite board prepared in the step (2) to obtain the microporous foam material with oriented cells.

Abstract: A method, an apparatus, and an electronic device for processing a data transaction are disclosed. The method includes receiving an application request from a client to perform a data operation in a target data partition; creating a corresponding data transaction according to the application request, and assigning a transaction identifier to the data transaction; returning the transaction identifier that is assigned to the data transaction to the client; performing the data operation based on the target data partition according to the data operation carrying the transaction identifier and sent by the client; and processing the data transaction according to a transaction instruction sent by the client. The method enables a data operation to implement transactional attributes, and to satisfy a transactional nature of the data operation. Moreover, the service logic of data transactions implemented by the method is relatively simple, thus ensuring that data services have a good transactional nature.

Abstract: Embodiments of the disclosure provide a database processing method, a database processing apparatus, and an electronic device. The database processing method can include: providing a plurality of transactions to a transaction queue, wherein each transaction of the plurality of transactions includes an encapsulated write request for writing data into a database; generating auto-increment identifiers (IDs) for data rows of the data corresponding to the plurality of transactions according to an order of the transactions in the transaction queue; and writing the data into the database according to the auto-increment IDs assigned to the data rows of the data in the transaction.

Abstract: A package antenna apparatus including a package substrate, wherein an antenna array is disposed on the package substrate, and a transceiver chip coupled to the antenna array, where the transceiver chip is fastened to the package substrate, and the transceiver chip has a first pad and a second pad, and a filter disposed on the package substrate, where the filter comprises an input port and an output port, the input port is coupled to the first pad of the transceiver chip, the output port is coupled to the second pad of the transceiver chip, and the filter is configured to filter a signal of the transceiver chip that is input through the input port, and is further configured to output a filtered signal to the transceiver chip through the output port.

Abstract: A distributed machine learning framework implemented with heterogeneous data platforms reduces data copying and exploits memory/computation resources of the different data platforms. A configuration component includes information to set up the system. A persistency component manages storage of data and a model trained by machine learning. A proxy repository includes predefined proxies for communication between heterogeneous data platform nodes and execution of the machine learning procedure. A machine learning execution component comprises three layers. A bottom work node layer within the data platform performs computations of the machine learning procedure. A middle server node layer comprising one server node per data platform, communicates with the work nodes to coordinate jobs on that data platform. An upper layer comprises a central server node communicating with server nodes and coordinating jobs of the different platforms.

Abstract: Disclosed are a Fuc3S4S substituted oligoglycosaminoglycan with a weight-average molecular weight (Mw) of about 4.5-9 kD, a pharmaceutical composition containing the Fuc3S4S substituted oligoglycosaminoglycan, a preparation method thereof and a use thereof in preparing medicines for preventing and/or treating thrombotic diseases.

Abstract: A method, an apparatus, and an electronic device for processing a data transaction are disclosed. The method includes receiving an application request from a client to perform a data operation in a target data partition; creating a corresponding data transaction according to the application request, and assigning a transaction identifier to the data transaction; returning the transaction identifier that is assigned to the data transaction to the client; performing the data operation based on the target data partition according to the data operation carrying the transaction identifier and sent by the client; and processing the data transaction according to a transaction instruction sent by the client. The method enables a data operation to implement transactional attributes, and to satisfy a transactional nature of the data operation. Moreover, the service logic of data transactions implemented by the method is relatively simple, thus ensuring that data services have a good transactional nature.

Abstract: A distributed machine learning framework implemented with heterogeneous data platforms reduces data copying and exploits memory/computation resources of the different data platforms. A configuration component includes information to set up the system. A persistency component manages storage of data and a model trained by machine learning. A proxy repository includes predefined proxies for communication between heterogeneous data platform nodes and execution of the machine learning procedure. A machine learning execution component comprises three layers. A bottom work node layer within the data platform performs computations of the machine learning procedure. A middle server node layer comprising one server node per data platform, communicates with the work nodes to coordinate jobs on that data platform. An upper layer comprises a central server node communicating with server nodes and coordinating jobs of the different platforms.

Abstract: Embodiments of the disclosure provide a database processing method, a database processing apparatus, and an electronic device. The database processing method can include: providing a plurality of transactions to a transaction queue, wherein each transaction of the plurality of transactions includes an encapsulated write request for writing data into a database; generating auto-increment identifiers (IDs) for data rows of the data corresponding to the plurality of transactions according to an order of the transactions in the transaction queue; and writing the data into the database according to the auto-increment IDs assigned to the data rows of the data in the transaction.

Abstract: The present application is directed to methods and systems for identifying small molecule compounds in mixtures using a library comprising calculated structures and corresponding calculated mass spectral fragmentation patterns of known and/or hypothetical small molecule compounds that may be in the mixture and screening of a mass spectrum of the mixture using the library to identify matching fragmentation patterns. If a mass spectral fragmentation pattern present in the mass spectrum of the mixture matches a calculated fragmentation pattern of one of the known or hypothetical compounds this confirms the identity of a compound in the mixture as the known or hypothetical compound. The method represents a platform method that can be used for a multitude of purposes related to the screening and identification of compounds in mixtures.

Abstract: A testing device of a data collecting chip (10) and control method thereof, and the testing device (10) includes: a data collecting module (200) for receiving multiple frames of sampling data sampling data collected by the data collecting chip; a storing module (300); a processing module (400) for calculating noise of a plurality of data sampling points to obtain a noise test result; a data transceiving module (500) for uploading the noise test result; and a control module (600). The testing device (10) only uploads the noise test result by calculating the noise of the plurality of data sampling points, so that the efficiency of a chip test is improved, the cost of the chip test is reduced, and the test reliability is ensured better.

Abstract: Disclosed are a Fuc3S4S substituted oligoglycosaminoglycan with a weight-average molecular weight (Mw) of about 4.5-9 kD, a pharmaceutical composition containing the Fuc3S4S substituted oligoglycosaminoglycan, a preparation method thereof and a use thereof in preparing medicines for preventing and/or treating thrombotic diseases.

Abstract: The present application is directed to methods and systems for identifying small molecule compounds in mixtures using a library comprising calculated structures and corresponding calculated mass spectral fragmentation patterns of known and/or hypothetical small molecule compounds that may be in the mixture and screening of a mass spectrum of the mixture using the library to identify matching fragmentation patterns. If a mass spectral fragmentation pattern present in the mass spectrum of the mixture matches a calculated fragmentation pattern of one of the known or hypothetical compounds this confirms the identity of a compound in the mixture as the known or hypothetical compound. The method represents a platform method that can be used for a multitude of purposes related to the screening and identification of compounds in mixtures.