Abstract: Embodiments of the present disclosure provide techniques for deduplicating files during internal stage replication using a directory table of the replicated internal stage that is modified as a cache for storing and retrieving original file-level metadata for the replicated files. An initial list of candidate files for loading from the internal stage to a table of the target deployment is prepared based on the files listed in the internal stage, and refined using a directory table lookup. If there is any inconsistency between the files registered in the directory table and the files listed in the internal stage, the target deployment will inspect the user-defined file-level metadata to obtain original file-level metadata for each file that is present in the internal stage but not in the directory table. This information may be used during deduplication to ensure that no duplicate files are loaded.

Abstract: Provided are a vertical cavity surface emitting laser and a manufacturing method thereof, the vertical cavity surface emitting laser comprises a laser precursor, and the laser precursor comprises a first reflector layer, an oxidation layer, a light-emitting layer and a second reflector layer which are stacked, wherein the second reflector layer comprises a plurality of first reflection layers and a plurality of second reflection layers, and a groove is formed on the side of the second reflection layer from the oxidation groove and in a direction away from the oxidation groove; a protection layer is arranged on the laser precursor, and the protection layer at least covers the inner wall of the oxidation groove, and the groove is filled with a part of the protection layer. The technical solution may avoid the collapse of the edge of the first reflection layer.

Abstract: An internal detection system of stress concentration of an oil and gas pipeline based on unsaturated orthogonally magnetization is provided. The system comprises a detection device and a processing device; the detection device comprises a detection probe; the detection probe comprises a magnetizing device and a magnetic signal acquisition device; the magnetizing device is fixedly connected with the magnetic signal acquisition device; the magnetizing device is configured to magnetize a pipeline to be detected, so that the pipeline generates a magnetized magnetic field; the magnetic signal acquisition device is configured to acquire a magnetic signal of the magnetized magnetic field to obtain an acquired signal and send the acquired signal to the processing device; the processing device is configured to receive the acquired signal and obtain a stress concentration area of the pipeline based on the acquired signal.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: The present invention relates to a method for purifying key intermediates of Citalopram, i.e. 4-[4-(dimethylamino)-1-(4-fluorophenyl)-1-hydroxybutyl]-3-hydroxymethylbenzonitrile and a salt thereof. The method comprises dissolving crude 4-[4-(dimethylamino)-1-(4-fluorophenyl)-1-hydroxybutyl]-3-hydroxymethylbenzonitrile (compound of formula I containing formaldehyde impurity) with an organic solvent, adding a washing solution, controlling the temperature, stirring, leaving to stand for layering, and removing the aqueous layer, so as to obtain a purified organic solution of 4-[4-(dimethylamino)-1-(4-fluorophenyl)-1-hydroxybutyl]-3-hydroxymethylbenzonitrile. The method provided by the present invention can effectively remove aldehyde group-containing impurities in the intermediate. The method of the present invention has the advantages of simple operation, cheap raw materials and mild conditions, and is suitable for large-scale industrial production.

Abstract: The present invention is directed to electrical circuits and methods. According to a specific embodiment, the present invention provides a voltage compensation mechanism for one or more single-phone avalanche diodes (SPADs). A reference voltage is generated based at least on an operating voltage of the SPADs. The reference voltage is coupled to a charge pump that generates a compensation voltage for the diodes. There are other embodiments as well.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.

Abstract: A folding pallet truck comprises a frame module, a lifting module installed on the frame module and comprising a mount, and a handle module comprising a tube in rotating fit with the mount, wherein a first constraint part is formed between an end, rotatably connected to the mount, of the tube and the mount, and the handle module is folded by detaching the first constraint part or is unfolded by reassembling the first constraint part. The handle module can be folded to be stored or be unfolded and locked to be used by detaching or reassembling the first constraint part formed between the tube of the handle module and the mount of the lifting module, operation is easy, and the pallet truck has a small size when stored.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: Implementations of the present specification provide a method and an apparatus for extending question and answer samples. According to the method, a random number is generated for each existing sample, a question is blurred for a sample whose random number belongs to sample extension random numbers, to generate an extended sample, so that an overall sample blurring extension rate can be effectively controlled. In addition, for a sample needing blurring extension, a question is extended by deleting a word with a predetermined part of speech in the corresponding question, and then an extended sample is generated based on an extended question, so that more question expression ways are compatible. As such, a question and answer model is trained by using a sample set to which extended samples are added, so that an answer can be provided to a user more effectively.

Abstract: Implementations of the present specification provide a method and an apparatus for extending question and answer samples. According to the method, a random number is generated for each existing sample, a question is blurred for a sample whose random number belongs to sample extension random numbers, to generate an extended sample, so that an overall sample blurring extension rate can be effectively controlled. In addition, for a sample needing blurring extension, a question is extended by deleting a word with a predetermined part of speech in the corresponding question, and then an extended sample is generated based on an extended question, so that more question expression ways are compatible. As such, a question and answer model is trained by using a sample set to which extended samples are added, so that an answer can be provided to a user more effectively.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: Systems and methods are taught for providing customers of a cloud computing service to control when updates affect the services provided to the customers. Because multiple customers share the cloud's infrastructure, each customer may have conflicting preferences for when an update and associated downtime occurs. Preventing and resolving conflicts between the preferences of multiple customers while providing them with input for scheduling a planned update may reduce the inconvenience posed by updates. Additionally, the schedule for the update may be transmitted to customers so that they can prepare for the downtime of services associated with the update.

Abstract: A fitness equipment and an automatic oxygen-generating fitness equipment are disclosed. The fitness equipment comprises a power unit, a sensor unit and an oxygen-generating assembly. The power unit comprises a belt drive turnplate, a belt and a magnetic wheel. Rotation of the belt drive turnplate drives the belt to operate so that the magnetic wheel is driven to rotate. The sensor unit is adapted to detect the belt drive turnplate and generate an activation signal when the belt drive turnplate is rotating. The oxygen-generating assembly comprises a control unit, a motor and an oxygen generator. The control unit is configured to receive the activation signal from the sensor so that the motor is activated to drive the oxygen generator to operate. The control unit may also control the equipment to switch between an oxygen-generating mode and a non-oxygen-generating mode.

Abstract: Problem prediction method and system are provided. The prediction method includes receiving a request sent by a client, and obtaining a track of user activities of the client, the track of user activities including at least one of: call information of at least one RPC between the client and a server in a specified time period, or at least one URL of the server accessed by the client; extracting model input data from the track of user activities; and inputting the model input data into a problem classification model to predict a problem. The present disclosure uses a problem classification model to predict a problem, extracts model input data from a track of user activities as features for predicting the problem. In a process of prediction of a problem, manual operations are reduced, and the accuracy of the prediction is improved, while the timeliness is guaranteed at the same time.

Abstract: The present disclosure provides data-driven methods and apparatuses for predicting user inquiries. One exemplary method includes: collecting user behavior data and pre-processing the user behavior data when a user inquiry is received; extracting candidate user behavior data that is contributive to the user inquiry from the pre-processed user behavior data; screening the candidate user behavior data based on a set target behavior data set, and selecting candidate user behavior data that is contained in the target behavior data set; inputting the screened candidate user behavior data into a trained classifier model; and predicting an inquiry category to which the user inquiry belongs. One exemplary apparatus includes a pre-processing module, an extraction module, and a prediction module. The method and the apparatus embodiments of the present disclosure can improve the efficiency and accuracy of the prediction.