Abstract: A method in an illustrative embodiment of the present disclosure includes determining, utilizing a first diagnosis model deployed in a storage system, whether a cause of a fault belongs to environmental factors. The method further includes determining, responsive to determining that the cause of the fault belongs to the environmental factors, whether the fault can be solved locally in the storage system. The method further includes sending, responsive to determining that the fault cannot be solved locally in the storage system, the fault to a second diagnosis model, wherein the first diagnosis model is obtained by distilling the second diagnosis model. According to the method for fault diagnosis of the present disclosure, particular faults can be diagnosed and solved locally in a storage system, so that the workload of a customer support team of the storage system in a cloud can be reduced.

Abstract: A semiconductor device includes: a drift region that is arranged on a main surface of a substrate, and has a higher impurity concentration than the substrate; a first well region that is connected to the drift region; and a second well region that is arranged adjacent to the first well region and faces the drift region. The second well region has a higher impurity concentration than the first well region. A distance between the source region that faces the drift region via the first well region and the drift region is greater than a distance between the second well region and the drift region, in a direction parallel to the main surface of the substrate. A depletion layer extending from the second well region reaches the drift region.

Abstract: A semiconductor device includes a main groove formed in a main surface of a substrate, a semiconductor region formed in contact with a surface of the main groove, an electron supply region formed in contact with a surface of the semiconductor region on opposite sides of at least side surfaces of the main groove to generate a two-dimensional electron gas layer in the semiconductor region, and a first electrode and a second electrode formed in contact with the two-dimensional electron gas layer and apart from each other.

Abstract: Embodiments of the present disclosure relate to a computer-implemented method, device, and computer program product. The method includes: determining, based on a set of user behavior data over a first time period, a set of behavioral features for a user behavior over the first time period. The method further includes: determining, based on the set of behavioral features, a set of anomaly scores for the user behavior according to an anomaly detection model. The anomaly detection model is trained based on user behavior data over a second time period. The method further includes: updating a previously determined anomaly score threshold based on comparison of the determined set of anomaly scores with the anomaly score threshold. The anomaly score threshold is used for indicating whether the user behavior is anomalous. By continuously updating the anomaly score threshold, the solution uses the updated anomaly score threshold for anomaly detection of user behavior.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for code defect detection. The method described here includes determining log information associated with a defect based on the defect reported during testing of a software product. The method further includes determining a nature of the defect based on the log information. The method further includes determining, based on the nature, the log information, and a memory image file generated when the defect is reported, target code in code of the software product that causes the defect, in response to the nature indicating that the defect is caused by the code of the software product and needs to be repaired. By using the solution of the present application, different analysis strategies for defects may be adopted based on natures of the defects, thereby improving the efficiency of detecting code defects.

Abstract: The present disclosure discloses a system and method for batch and real-time feature computation, and the system includes: a management server, one or more batch feature computing units, one or more distributed computing units, one or more real-time feature computing units, an offline database and a real-time database. The management server receives a script containing feature computing logics, starts batch feature computation in a batch feature computing scenario, and deploys the script in a real-time feature computing scenario to generate a real-time computing plan, wherein the script containing the feature computing logics has unity for batch feature computing logics and real-time feature computing logics, and the real-time database obtains and stores data for the real-time feature computation from the offline database. According to the present disclosure, the batch feature computing logics and the real-time feature computing logics may be unified by the script.

Abstract: Provided are a device for suppressing potential induced degradation and a system. The device includes a rectification circuit, a non-isolated voltage conversion circuit and at least one capacitor. An input terminal of the rectification circuit is connected to an output terminal of a converter, the rectification circuit is configured to rectify an alternating current outputted by the converter into a direct current, the non-isolated voltage conversion circuit is configured to perform voltage conversion on the direct current outputted by the rectification circuit, and the voltage conversion is boost conversion or voltage reverse conversion. The capacitor is connected in parallel with an output terminal of the direct current, and either a positive electrode or a negative electrode of the capacitor is grounded.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for model arrangement. The method includes determining a target model for processing data. The method further includes dividing the target model into a plurality of modules that implement different tasks. The method further includes determining a quantity of parameters of a target module in the plurality of modules and a size of transmission data related to the target module. The method further includes determining an arrangement position of the target module based on the quantity and the size. With this method, the amount of data transmitted can be minimized, and the computing time and the presentation time of information presented to users can be reduced, thereby improving the user experience.

Abstract: An outlier IC detection method includes acquiring first measured data of a first IC set, training the first measured data for establishing a training model, acquiring second measured data of a second IC set, generating predicted data of the second IC set by using the training model according to the second measured data, generating a bivariate dataset distribution of the second IC set according to the predicted data and the second measured data, acquiring a predetermined Mahalanobis distance on the bivariate dataset distribution of the second IC set, and identifying at least one outlier IC from the second IC set when at least one position of the at least one outlier IC on the bivariate dataset distribution is outside a range of the predetermined Mahalanobis distance.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for determining a navigation path. The method may include acquiring a source geographical location and a destination geographical location received from a user side device. In addition, the method may include determining a navigation path from the source geographical location to the destination geographical location based on a communication resource heat database, the communication resource heat database including at least a plurality of geographical regions associated with the navigation path and communication resource heat of each of the plurality of geographical regions, the communication resource heat including signal quality, signal strength, and a remaining resource capacity. Then, the method may include sending the determined navigation path to the user side device.

Abstract: The invention relates to vascular disrupting agent (VDA) such as combretastatins for treating avascular or hypo vascular micro-tumors with a diameter below 20 mm.

Abstract: An electronic device is provided. The electronic device includes a housing, an infrared transmitter, a light guide member, and a decorative sheet. The infrared transmitter and the light guide member are both disposed in the housing. The housing is provided with a through hole, and at least a part of the light guide member is disposed in the through hole. The light guide member has a first end and a second end that are opposite to each other. The first end has a curved surface protruding opposite to the second end. The infrared transmitter is opposite to a light inlet surface, and the infrared transmitter emits infrared light toward the light inlet surface. The second end has a light outlet surface. At least a part of the infrared light incident in the light guide member through the light inlet surface emits on the light outlet surface.

Abstract: The present disclosure provides methods and systems for diagnosing diseases and monitoring their progression and therapeutic responses by detecting a presence or absence, or an increase or decrease, of one or more substances in a sample. The methods may involve microflow liquid chromatography (LC) coupled with mass spectrometry (MS) to rapidly quantitate biomarkers in a sample and identify the likelihood of the sample being positive for a disease or condition.

Abstract: The present application relates to the technical field of connecting devices, and discloses a pin, a panel structure, and an extension socket thereof. The pin includes wiring terminals and a mounting base. The mounting base is provided with at least two mounting holes into which the wiring terminals are embedded. The mounting base is further provided with a through hole. The present application has the effect of improving production efficiency of extension sockets.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for detecting model performance. The method may include acquiring a prediction result of an input feature using a target model to determine a confidence of the prediction result. The method may further include reconstructing the input feature using a self-coding model to determine a reconstruction error, the reconstruction error being a difference between the input feature before being reconstructed by the self-coding model and the input feature after being reconstructed by the self-coding model. In addition, the method may include determining a detection result of the target model at least based on a comparison between the confidence and a first threshold and a comparison between the reconstruction error and a second threshold.

Abstract: The disclosed embodiments include a system and method for generating a predictive model and allocating, based on the model's findings, an ideal amount into a user's account. The system includes a user device and a server. The server can retrieve the user's information, analyze the information, generate the predictive model, train the model, calculate a savings amount and allocate the amount to the appropriate account.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a medium for bug classification. The method includes determining, based on description information of a bug generated during product testing, classification information of the bug through at least one trained computing model; presenting the classification information of the bug; determining, based on user interaction for the presented classification information, whether performance of the at least one computing model satisfies a predetermined condition; and determining that the at least one computing model needs to be retrained in response to determining that the performance of the at least one computing model does not satisfy the predetermined condition. In this way, automatic classification of the bug is realized, and the computing model can be dynamically adjusted by retraining, so as to ensure accuracy of the automatic classification and improve efficiency of bug processing.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing secure access to a locker of a locker system based on a token that includes token data and a message authentication code (MAC) to authenticate the token data. The token data includes at least the unique locker identifier for the locker. The MAC can be generated using a secret key. The secret key can be obtained based on a unique derivation key associated with a master key. The locker system can determine whether the token is valid based on the token data, the MAC, and the secret key. In response to a determination that the token is valid, the locker system can send a signal to unlock the locker.