Abstract: Systems and methods are disclosed to develop and use a tool to enable an application package to be instrumented with automatic real user monitoring (RUM) without accessing the original source code. A package, such as Android application bundle (AAB) or Android package kit (APK), is imported and decoded and a generated source code file and/or manifest is obtained. Instrumentation is then added at a location corresponding to a code signature in the generated source code file (e.g., an operation to be instrumented before and/or after the operation). The generated source code file is then compiled and packaged into an APK and/or AAB file. The resulting application package is available for downloading, installation, and use on user devices with the instrumentation having been automatically added and without access to the original source code.

Abstract: Targeted recommendations may be provided to specific user segments. The users may be segmented on or more user parameters that facilitate targeted provision of recommendations to the individual segments of users. A recommendation may prompt a user to take a recommended action in the game.

Abstract: The present disclosure provides a method of manufacturing a middle bezel, a backlight module, and a display device thereof. The method includes: providing a bezel body, a film layer, and a hot-melt adhesive; heating the hot-melt adhesive, coating a heated hot-melt adhesive on a side of the bezel body, and then covering the heated hot-melt adhesive with a film layer to obtain a film-covered bezel body; and curing the heated hot-melt adhesive in the film-covered bezel body to obtain the middle bezel.

Abstract: The present disclosure relates to a method, a device, and a computer program product for upgrading a virtual storage system. The method for upgrading the virtual storage system is applied to a serverless platform, and includes receiving an upgrading instruction for the virtual storage system. The method further includes determining an upgrading type corresponding to the upgrading instruction and a preset execution file matched with the upgrading type, the preset execution file being pre-deployed in the serverless platform. The method further includes upgrading the virtual storage system by running the preset execution file in the serverless platform. In this way, a preset execution function is run in the serverless platform to upgrade the virtual storage system, which can save resource costs and operational costs for users. In addition, because the task processing efficiency of the serverless platform is high, the upgrading efficiency of the virtual storage system can further be improved.

Abstract: Upgrade of a virtual system is described. An example method includes recording access data of the virtual system that uses a cloud service, and in response to receiving an attribute set of a group of candidate cloud services, determining a predicted mode of the workload of the virtual system based on the access data. An upgrade preference is determined for the virtual system based on the access data and/or user settings of the virtual system. A cloud service for upgrading the virtual system is selected from the group of candidate cloud services based on the predicted mode and the upgrade preference, and a recommendation report is generated indicating the cloud service. Personalized cloud service recommendations can be created according to access habits of a user for the virtual system and other, user desired performance aspects so that upgrading the virtual system with the recommended cloud service improves user experience.

Abstract: The present disclosure relates to a method that includes acquiring a use status of a storage space of the virtual storage system. The method further includes determining whether to upgrade the virtual storage system based on the use status. The method further includes determining a targeted instant based on the workload of the virtual storage system in response to the determination to upgrade the virtual storage system. The method further includes upgrading the virtual storage system at the targeted instant. In this way, it can be accurately determined whether to upgrade the virtual storage system based on the storage status of the virtual storage system, and when upgrade is needed, the optimum upgrade time is selected for upgrade of the system based on the workload of the virtual storage system, thereby effectively ensuring normal use of the virtual storage system.

Abstract: A start-up power supply is provided that includes a battery, a supercapacitor module, and a switch module coupling an output of the supercapacitor module to an output connected to terminals of a vehicle battery. A charging circuit is coupled between the battery and the supercapacitor module and also to the output. A control module is coupled to the charging circuit, the switching module, the battery, and the supercapacitor module. The control module configured to first charge the supercapacitor module until the voltage of the supercapacitor module is higher than a pre-charge voltage of the supercapacitor module. Then to connect the battery and the supercapacitor module in parallel enabling the voltage of the supercapacitor module to charge to a voltage of the battery. Finally, to charge the supercapacitor module until the voltage of the supercapacitor module reaches a voltage of a full threshold of the supercapacitor module.

Abstract: Techniques for intelligently routing IO to a storage class memory (SCM) namespace are disclosed. A configuration for a namespace is determined, where the configuration indicates a type of IO that the namespace is structured to handle. Details about the configuration of the namespace are stored in a repository. A forwarding rule is generated based on the namespace's stored configuration. When incoming IO having attributes similar to that type is received, implementation of the forwarding rule causes the incoming IO to be directed to the namespace. Attributes of a particular incoming IO are determined. As a result of the attributes satisfying a similarity threshold relative to the type, the forwarding rule is implemented such that the particular incoming IO is directed to the namespace.

Abstract: A material completeness detection method configured to detect whether materials of a target object in a physical production line are complete, includes: inputting an image of the target object in the physical production line into a material completeness detection algorithm to acquire a first detection result; inputting a virtual model of the target object in a virtual production line into the material completeness detection algorithm to acquire a second detection result, where the virtual production line is a DT of the physical production line; and acquiring a material completeness detection result of the target object based on the first detection result and the second detection result. The embodiments of the present disclosure can realize efficient and accurate material completeness detection.

Abstract: A complementary storage unit and a method of preparing the same, and a complementary memory. The complementary storage unit includes: a control transistor, a pull-up diode and a pull-down diode. The control transistor is configured to control reading and writing of the storage unit. One end of the pull-up diode is connected to a positive selection line, and the other end thereof is connected to a source end of the control transistor, so as to control a high-level input. One end of the pull-down diode is connected to a negative selection line, and the other end thereof is connected to the source end of the control transistor, so as to control a low-level input. The pull-up diode and the pull-down diode are symmetrically arranged in a first direction.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a disk controller of a plurality of disks of a data storage system, collecting usage telemetry from the plurality of disks and initiating determination of one or more candidate time slots for performing a battery learn cycle using a machine learning model. The machine learning model is trained using the usage telemetry from the plurality of disks. The method also includes, by the disk controller, presenting one or more of the one or more candidate time slots for performing a battery learn cycle.

Abstract: The present application discloses a method for detecting cigarette appearance defects based on variational Bayesian inference. In a cigarette appearance defect detection scenario, in order to solve the problem that a current point estimation-based machine learning algorithm leads to an overconfidence decision in a data scarcity area, the present application proposes a variational inference-based Bayesian method to improve a SSD backbone network, preferably including calculating a real posterior probability by the variational inference method, replacing a point estimation mechanism of a convolution layer weight in the original backbone network by using a form of probability distribution, then detecting the improved extracted features by an SSD target detection algorithm, and furthermore, accurately determining whether the appearance of the cigarette is defective and the type and location of the defect.

Abstract: The present invention provides a high voltage ride-through method for wind power based on coordinated control of energy storage and reactive compensation devices, comprising fault determination based on voltages of grid connection points of wind farms; setting voltage fluctuation thresholds of grid connection points under faults, and determining whether to implement super capacitor, doubly-fed induction generator, and static var generator coordinated control strategies based on voltage fluctuation thresholds of grid connection points of commutation bus voltages under faults; calculating reactive power shortage of grid connection points under faults based on the control strategies; and determining whether the reactive power shortage of grid connection points is within wind farm regulation ranges and implement corresponding control strategies to adjust voltages based on the reactive power shortage; and determining whether to utilize static var generators to compensate reactive power based on reactive power comp

Abstract: The present disclosure belongs to the technical field of nanomaterial synthesis, and in particular, to a preparation method for a core-shell structure quantum dot. The preparation method provided by the present disclosure includes the following steps: in a protective gas atmosphere, mixing a cadmium source, an organic ligand, and an organic solvent with a first selenium source for a nucleation reaction to obtain an organic solution of a CdSe quantum dot core; and mixing the organic solution of the CdSe quantum dot core, a zinc source and an inorganic anion source for shell coating to obtain the core-shell structure quantum dot, where the inorganic anion source includes a second selenium source.

Abstract: A method includes: generating a machine learning model based on historical operation data of the storage system, the storage system being used for backing up and restoring data in a client. The method further includes: determining, by the machine learning model, input/output (I/O) utilization of the storage system for a future time period. The method further includes: determining, in response to determining that the I/O utilization exceeds a predetermined threshold at a first time instance in the future, an I/O capacity corresponding to the determined I/O utilization based on the determined I/O utilization. The method further includes: adjusting the performance of the storage system based on the determined I/O capacity. The embodiments of the present disclosure enable more effective resolution of the I/O spike problem without interrupting data backup or restoration services.

Abstract: One example method includes accessing a dataset, selecting a list of attributes of the dataset, each of the attributes being selected based on a determination that the attribute is affecting growth of the dataset and affecting an amount of data storage space consumed by the dataset, assigning a SHAP score to each attribute, using the SHAP scores to assign respective weights to each attribute, deriving drift and shock information for the dataset, and based on the drift and shock information, calculating a risk score that a storage capacity of an asset where the dataset is stored will be exhausted within a particular time interval.

Abstract: A method for modifying a gliadin and an application thereof are provided. The method includes the following steps: dissolving the gliadin in a solvent to obtain gliadin solution; and adding a proline endoprotease to the gliadin solution for a reaction, and adjusting the pH value of solution to neutral according to a gradient, to obtain a modified gliadin. The modified gliadin obtained by the present invention may be uniformly dispersed in water, and may still maintain a uniform dispersion state in the water after high-temperature thermal sterilization and long-term storage, or even in the presence of sodium chloride, it has good thermal stability, salt resistance, and storage stability.

Abstract: An electronic device includes a first graphics processing subsystem, a second graphics processing subsystem, and a screen. The first graphics processing subsystem includes a first application processor, a first graphics processing unit, and a first memory. The second graphics processing subsystem includes a second application processor, a second graphics processing unit, and a second memory. The first graphics processing unit renders a first GUI. The screen displays the first GUI. The second graphics processing unit renders a second GUI, and the second GUI and the first GUI belong to different interface types. The screen displays the second GUI. A display processing method applied to the electronic device is also provided, wherein the first graphics processing subsystem can be switched to the second graphics processing subsystem based on complexity of a to-be-displayed GUI.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing environment change. The exemplary embodiments may include determining a plurality of change and risk models for a plurality of computing environments, generating a plurality of association rules based on the plurality of change and risk models, and generating a joint association rule by combining at least two of the plurality of association rules, wherein the joint association rule indicates, from the three dimensions, an association relationship between changes and risk events over at least a part of the time series.

Abstract: A titanium silicalite molecular sieve has a micropore specific surface area of 320-500 m2/g, a micropore volume of 0.1-0.4 cm3/g, a mesopore specific surface area of 50-100 m2/g, a mesopore volume of 0.075-0.1 cm3/g, and a particle size of 100-250 nm. Its micropore specific surface area accounts for 50-90% of the total specific surface area. A catalyst contains the titanium silicalite molecular sieve carrier and is loaded with nano-gold particles. The catalyst has a micropore volume of 0.06-0.4 cm3/g and a particle size of 100-250 nm. The catalyst is prepared by subjecting the titanium silicalite molecular sieve to an alkaline treatment with an aqueous aliphatic amine solution and then loading same with nano-gold particles. The catalyst is used for an olefin epoxidation reaction, a cycloolefin epoxidation reaction, a phenol hydroxylation reaction, and a cyclohexanone ammoximation reaction.