Abstract: In a lithium-ion battery, the lithium ion migration kinetic coefficient Fc of the positive electrode coating and the lithium ion migration kinetic coefficient Fa of the negative electrode coating satisfy: 0.25?Fc/Fa?5; Fc=2 (Dvc50+5Mc)+PDc/4Pc, Fa=Dva50+Ma+PDa/2Pa, Dvc50 is an average particle size of a positive active material in the positive electrode coating; Mc is an internal resistance of the positive electrode plate; PDc is a compaction density of the positive electrode coating; Pc is a porosity of the positive electrode coating; Dva50 is an average particle size of a negative active material in the negative electrode coating; Ma is an internal resistance of the negative electrode plate; PDa is a compaction density of the negative electrode coating; Pa is a porosity of the negative electrode coating. The rates of lithium ion deintercalation from the positive electrode coating and lithium ion intercalation into the negative electrode coating are balanced, thereby ensuring charging capacity.

Abstract: The present invention relates to compounds of Formula (I), methods of using the compounds as immunomodulators, and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders such as cancer or infections.

Abstract: The present disclosure provides a method, an apparatus, an electronic device, and a storage medium of remote attestation. The method is applied to a first trusted execution environment, and includes: obtaining a first file for a first application, the first file being used to deploy the first application in the first trusted execution environment, and the first file including a read-only target file system; obtaining a first metric value for the target file system; loading the first file, and writing the first metric value into a command line for booting a kernel, and booting a kernel in the first file based on the command line, to deploy the first application in the first trusted execution environment; and measuring the kernel and other components to obtain a second metric value, and performing remote attestation on the first application based on the second metric value.

Abstract: Systems and methods are disclosed for detecting unnecessary resource re-utilization. A method includes receiving a first data object, the first data object including an entity data set containing a plurality of entities; a first data set including request data associated with the plurality of entities; an event data set; and a plurality of data sets associated with one or more performance metrics. The method further includes generating an entity data object for each of the plurality of entities and applying a machine-learning model to the entity data objects generated for the plurality of entities. The method further includes determining a prediction indicator for each entity of the plurality of entities, generating a re-utilization offset data object for each of the plurality of entities, and causing the re-utilization offset data object for each entity to be displayed on a Graphical User Interface (GUI).

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: Technology is disclosed for a computerized system for monitoring a respiratory condition of a human subject, the system may include one or more processors, and a computer memory having computer-executable instructions stored thereon for performing operations when executed by one or more processors; where the operations comprising collecting at least one audio sample from the human subject, generating a baseline data value using the collected at least one audio sample, collecting a second audio sample from the human subject, processing the second audio sample using the generated baseline data value, constructing a machine learning classifier using the processed second audio sample, and using the constructed machine learning classifier to determine the human subject's respiratory condition.

Abstract: An image processing method includes obtaining a first quantity of to-be-analyzed images and performing fusion and enhancement processing on the first quantity of to-be-analyzed images through an image analysis model to obtain a first target image. Each to-be-analyzed image corresponds to a different target modality of a target imaging object. The first target image is used to enhance display of a distribution area of an analysis object of the first quantity of to-be-analyzed images. The analysis object belongs to the imaging object. The image analysis model is obtained by training a second quantity of sample images corresponding to different sample modalities. The first quantity is less than or equal to the second quantity. The target modality belongs to the sample modalities.

Abstract: A secondary battery and an electrical device are disclosed. The secondary battery includes a positive electrode plate and a negative electrode plate and satisfies 0.74?(W2/W1)*CB?1.03. The CB value, charging energy, and discharging energy of the secondary battery satisfy the above-mentioned relationship, so that the secondary battery can have a higher energy density, a longer cycle life, and a better storage performance.

Abstract: A method for data processing, a readable medium, and an electronic device are provided. The method for data processing includes: receiving a data processing task; determining target data corresponding to the data processing task and a target first key corresponding to the target data; decrypting the target first key according to the first session key via a target computing node to obtain the first key, and decrypting the target data based on the first key to obtain the data to be processed; and determining a data processing result according to a target model and the data to be processed. The target computing node is executed in a trusted execution environment. The target model is obtained by decrypting an encrypted target model based on a model key, the model key is stored in a key management service, and the key management service is executed in the trusted execution environment.

Abstract: An electronic display board system, an electronic display board and a support platform are provided. The electronic display board includes a display panel, a housing and a first magnetic attraction structure. The display panel includes a display surface on a display side; the housing is connected to the display panel, and includes a first connecting surface on a side away from the display panel, and the first connecting surface and the display surface have a first angle; and the first magnetic attraction structure is fixed on the housing and located between the first connecting surface and the display panel, the first magnetic attraction structure includes a first magnetic attraction portion and a second magnetic attraction portion configured to attract each other upon approaching each other.

Abstract: A method for data acquisition, a device and a storage medium are provided. The method includes: determining a data identification intersection between databases of data providers, where the data identification intersection comprises data identifications that are same between the databases of the data providers; constructing a Bloom vector of a Bloom Filter according to the data identification intersection, and sending the Bloom vector to the data providers; receiving candidate data sent by the data providers, where the candidate data is data corresponding to a target data identification, and the target data identification is determined by the data providers from data identifications of respective databases through the Bloom Filter based on the Bloom vector; and selecting target data corresponding to the data identification intersection from the candidate data.

Abstract: The disclosure provides a remote attestation method, apparatus, electronic device, and storage medium. The method is applied to a first application, and the first application runs in a first trusted execution environment. The method includes: initiating a remote attestation request to a second application, wherein the second application runs in a second trusted execution environment; obtaining a first attestation response returned by the second application; obtaining a first attestation evidence of the second application from a target trusted storage module, wherein the first attestation evidence is uploaded and stored in the target trusted storage module by the second application; and performing remote attestation based on the first attestation response and the first attestation evidence, to obtain a first remote attestation result for the second application.

Abstract: A universal vehicle-body front end structure, comprising a vehicle body turret, two energy-absorbing box assemblies respectively extending forwards from both lower sides of the vehicle body turret, a front anti-collision beam connected to the two energy-absorbing box assemblies, and a front-end-frame mounting platform, where the front frame installation platform includes two upper beams extending forwards from both upper sides of the vehicle body turret, and two energy-absorbing box brackets respectively arranged on the energy-absorbing box assemblies; the two upper beams and the two energy absorption box brackets are provided with mounting portions; and a plurality of mounting portions form a universal front-end-frame mounting connection port, by means of which various types of front-end frames are mounted.

Abstract: A method of processing data, an electronic device, and a storage medium are provided. The method includes: acquiring voltage values of a plurality of sub-pixels to be detected in the pixel array; determining a plurality of sub-pixels to be compensated from the plurality of sub-pixels to be detected according to the voltage values of the plurality of sub-pixels to be detected, where differences between the voltage values of the plurality of sub-pixels to be compensated and voltage values of corresponding adjacent sub-pixels are greater than or equal to a first filtering threshold; determining at least one sub-pixel column to be compensated according to a position of the plurality of sub-pixels to be compensated in the pixel array; and performing a filtering compensation on the voltage values of a plurality of sub-pixels in the at least one sub-pixel column to be compensated based on a second filtering threshold.

Abstract: A display module includes a display panel, a backplane, a magnetic attraction structure and a plurality of bonding portions; the display panel has a light exit surface and a back surface opposite to the light exit surface; the backplane is disposed on a side of the display panel away from the light exit surface; the magnetic structure is disposed between the display panel and the backplane, and the magnetic structure is configured to attract and fix the display panel and the backplane; the plurality of bonding portions are disposed between the display panel and the backplane, and the plurality of bonding portions are spaced apart; the plurality of bonding portions are configured to bond the display panel and the backplane.

Abstract: A driving method and an apparatus, and a storage medium are provided. The driving method is applied to a pixel drive circuit, the pixel drive circuit including a drive transistor, the drive transistor including a second electrode and a third electrode; and the method includes: applying a data voltage acquired based on a reference gamma curve to the third electrode of the drive transistor, and applying a preset voltage to the second electrode of the drive transistor; a lowest voltage of the reference gamma curve is greater than a lowest voltage of a standard gamma curve, and the preset voltage is less than or equal to the lowest voltage of the reference gamma curve.

Abstract: The present disclosure provides a curvature determination method, a curved display panel, and a display device. The curvature determination method includes: establishing a first association relationship between deflection and a shear stress of the curved display panel in a first direction, the first direction being a bending direction of the curved display panel; determining a constraint condition for the shear stress in accordance with an influence of the shear stress on a light leakage of the curved display panel; and generating a curvature change relationship of the curved display panel in the first direction in accordance with the first association relationship when the constraint condition has been satisfied.

Abstract: Provided is a method for sensing pixel internal data in a display device. The method includes: sensing pixel internal data for each line of pixel units to determine column sequence numbers of suspected abnormal pixel units in the line of pixel units; determining, based on a number of the suspected abnormal pixel units of each column sequence number in the at least three lines of pixel units, whether a sensing signal line corresponding to the column sequence number is an abnormal sensing signal line; and in a case that there is at least one abnormal sensing signal line, replacing pixel internal data of a column of pixel units corresponding to each abnormal sensing signal line with pixel internal data of at least one column of pixel units adjacent to the abnormal sensing signal line each time the pixel internal data of all pixel units is sensed.

Abstract: A method for data processing, a readable medium, and an electronic device are provided. The method for data processing includes: receiving a data processing task; determining target data corresponding to the data processing task and a target first key corresponding to the target data; decrypting the target first key according to the first session key via a target computing node to obtain the first key, and decrypting the target data based on the first key to obtain the data to be processed; and determining a data processing result according to a target model and the data to be processed. The target computing node is executed in a trusted execution environment. The target model is obtained by decrypting an encrypted target model based on a model key, the model key is stored in a key management service, and the key management service is executed in the trusted execution environment.

Abstract: The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.