Abstract: Disclosed is a fundus camera, which relates to the technical field of medical devices and includes: an illumination module, a main optical assembly, a focusing module, and an image sensing acquisition module; the illumination module includes a plurality of light sources configured to emit light of different wavelengths, illumination light emitted by the plurality of light sources is conducted to enter an eye of a patient through the main optical assembly, and light reflected by a retina of the patient is conducted to pass through the main optical assembly and the focusing module to enter the image sensing acquisition module. The fundus camera provided by the present application improves the technical problem that the fundus camera in the prior art cannot image different layers of the retina, thereby providing valuable medical and diagnostic data.

Abstract: The present disclosure discloses a display substrate, a control method thereof and a display device, and relates to the field of display technologies. The display substrate includes: a first substrate, a second substrate, a liquid crystal layer, a plurality of pixel electrodes, and a plurality of light-emitting elements. The plurality of pixel electrodes and the plurality of light-emitting elements are both disposed on a side, proximal to the liquid crystal layer, of the first substrate. When external ambient light is weak, the plurality of light-emitting elements in the display substrate may supply auxiliary light sources to the display substrate, such that the display substrate normally emits light to ensure a display effect.

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

Abstract: This application provides a port identification method. The method includes: obtaining reflection information of reflection peaks formed by each ONT by separately reflecting test light when the test light provided by a wavelength-tunable device is transmitted in the PON; determining, based on the reflection information of the reflection peaks, a port of a splitter corresponding to each reflection peak group, where each reflection peak group includes reflection peaks formed by a same ONT by reflecting the test light; and determining, based on first transmission information of at least one reflection peak in each reflection peak group, the port of the splitter corresponding to each reflection peak group, and second transmission information between each ONT and an OLT, a port corresponding to each ONT in the splitter. According to this application, port identification efficiency can be improved.

Abstract: This application provides a port identification method, apparatus, and system, and belongs to the field of optical communications technologies. According to this application, a connection relationship between the ONT and the optical splitter and a connection relationship between the ONT and the port of the optical splitter can be accurately identified.

Abstract: Techniques for managing a storage system involve cleaning up a persistent storage disk in a backup mode to increase a writing rate of the persistent storage disk. The techniques further involve creating a library partition in the cleaned persistent storage disk. The techniques further involve writing cache data in a volatile storage device into the library partition. Accordingly, in a storage device with only a single persistent storage disk, cache data in a volatile storage device can be written into the persistent storage disk at a relatively high writing rate, thereby achieving efficient memory persistence.

Abstract: A splitter includes an optical input section, N optical branch sections, and at least (N?1) optical filter structures. Each optical filter structure reflects an optical signal of one wavelength. The at least (N?1) optical filter structures include a special optical filter structure and at least (N?3) common optical filter structures, and a wavelength of an optical signal reflected by each of the common optical filter structures is a common wavelength. A wavelength of an optical signal reflected by a first/second special optical filter structure is a first/second special wavelength. At least (N?3) common wavelengths constitute an arithmetic sequence, a difference between the first special wavelength and a largest common wavelength is greater than a tolerance of the arithmetic sequence, and a difference between the second special wavelength and a smallest common wavelength is greater than the tolerance of the arithmetic sequence.

Abstract: A training method includes: obtaining a first recommendation model, where a model parameter of the first recommendation model is obtained through training based on n first training samples; determining an impact function value of each first training sample with respect to a verification loss of m second training samples in the first recommendation model; determining, based on the impact function value of each first training sample with respect to the verification loss, a weight corresponding to each first training sample; and training the first recommendation model based on the n first training samples and the weights corresponding to the n first training samples, to obtain a target recommendation model.

Abstract: A method and an apparatus for training a search recommendation model, and a method and an apparatus for sorting search results are provided. The training method includes: obtaining a training sample set including a sample user behavior group sequence and a masked sample user behavior group sequence; and using the training sample set as input data, and training a search recommendation model, to obtain a trained search recommendation model, where a target of the training is to obtain the object of the response operation of the sample user after the mask processing, the search recommendation model is used to predict a label of a candidate recommendation object in search results corresponding to a query field when a target user inputs the query field, and the label is used to indicate a probability that the target user performs a response operation on the candidate recommendation object.

Abstract: A recommendation method includes generating a feature sequence based on to-be-predicted data of a user for a target object and according to a preset encoding rule, obtaining probability distribution information corresponding to each feature in the feature sequence, and obtaining, through calculation, a feature vector corresponding to each feature, obtaining a predicted score of the user for the target object based on values of N features and a feature vector corresponding to each of the N features, and recommending the target object to the user when the predicted score is greater than or equal to a preset threshold.

Abstract: This application relates to the field of fiber-optic communication technologies, and provides a fault locating method, apparatus, and system. The method includes: obtaining a first correspondence between a receive time and receive power during reverse backhaul that occurs when a test optical signal that can be reflected by a reflection component disposed at each port of at least one stage of optical splitter is in downlink transmission in an ODN, where reverse backhaul includes backscatter and reflection or includes backscatter; determining, based on the first correspondence, a second correspondence between a transmission distance and receive power during reverse backhaul that occurs when a test optical signal is in downlink transmission in an optical fiber between each port of the at least one stage of optical splitter and a component connected to the port; and locating a fault in the ODN based on the second correspondence.

Abstract: Example prediction methods and apparatus are described. One example includes sending a first model parameter and a second model parameter by a server to a plurality of terminals. The first model parameter and the second model parameter are adapted to a prediction model of the terminal. The server receives a first prediction loss sent by at least one of the plurality of terminals. A first prediction loss sent by each of the at least one terminal is calculated by the terminal based on the prediction model that uses the first model parameter and the second model parameter. The server updates the first model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated first model parameter. The server updates the second model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated second model parameter.

Abstract: Techniques for submitting unaligned IO data to an alignment-required IO stack of a storage system. The techniques include determining that IO data specified by an IO command contains unaligned IO data, and generating an IOCB and a tunneling IOCB. The IOCB includes information pertaining to the tunneling IOCB and the tunneling IOCB includes information pertaining to a sector-unaligned buffer for storing the IO data. The tunneling IOCB satisfies a sector-alignment requirement of an IO stack. The techniques include, in response to submitting the IO command and the information included in the IOCB to the IO stack, determining that the tunneling IOCB satisfies the sector-alignment requirement of the IO stack; having satisfied the sector-alignment requirement, building a driver command based on the IO command and the information included in the tunneling IOCB; and, transferring, by executing the driver command, the unaligned IO data from the sector-unaligned buffer to a storage device.

Abstract: Techniques involve: acquiring, through a first downstream port of a first switch of a data storage system, information indicating an error of a storage device array from a second switch of the data storage system, wherein the first switch and the second switch are connected to the storage device array and the first downstream port is connected to a second downstream port of the second switch; executing, based on the acquired information, actual actions intended for solving the error; and in response to the executed actual actions failing to match with expected actions for the error, issuing an alarm indicating failure of processing the error.

Abstract: Techniques for managing a storage system involve cleaning up a persistent storage disk in a backup mode to increase a writing rate of the persistent storage disk. The techniques further involve creating a library partition in the cleaned persistent storage disk. The techniques further involve writing cache data in a volatile storage device into the library partition. Accordingly, in a storage device with only a single persistent storage disk, cache data in a volatile storage device can be written into the persistent storage disk at a relatively high writing rate, thereby achieving efficient memory persistence.

Abstract: Techniques for submitting unaligned IO data to an alignment-required IO stack of a storage system. The techniques include determining that IO data specified by an IO command contains unaligned IO data, and generating an IOCB and a tunneling IOCB. The IOCB includes information pertaining to the tunneling IOCB and the tunneling IOCB includes information pertaining to a sector-unaligned buffer for storing the IO data. The tunneling IOCB satisfies a sector-alignment requirement of an IO stack. The techniques include, in response to submitting the IO command and the information included in the IOCB to the IO stack, determining that the tunneling IOCB satisfies the sector-alignment requirement of the IO stack; having satisfied the sector-alignment requirement, building a driver command based on the IO command and the information included in the tunneling IOCB; and, transferring, by executing the driver command, the unaligned IO data from the sector-unaligned buffer to a storage device.

Abstract: An application sorting method and apparatus are provided. The method includes: obtaining, a positive operation probability and positive operation feedback information of each of at least two data samples; calculating an uncertainty parameter of a positive operation probability of a first data sample based on the positive operation probabilities and the positive operation feedback information of the at least two data samples and feature indication information of at least one same feature in a plurality of features in the at least two data samples; and correcting the positive operation probability of the first data sample by using the uncertainty parameter of the positive operation probability; and sorting, based on corrected positive operation probabilities, application programs corresponding to the at least two data samples.

Abstract: Techniques involve: acquiring, through a first downstream port of a first switch of a data storage system, information indicating an error of a storage device array from a second switch of the data storage system, wherein the first switch and the second switch are connected to the storage device array and the first downstream port is connected to a second downstream port of the second switch; executing, based on the acquired information, actual actions intended for solving the error; and in response to the executed actual actions failing to match with expected actions for the error, issuing an alarm indicating failure of processing the error.

Abstract: This application discloses an optical signal transceiver apparatus, and belongs to the communications field.