Abstract: The present application provides tricyclic urea compounds that modulate the activity of the V617F variant of JAK2, which are useful in the treatment of various diseases, including cancer.

Abstract: Embodiments of the present disclosure provide a solution for multimodal data processing. A method comprises: obtaining image data and text data; and extracting a target visual feature of image data and a target textual feature of text data using a feature extraction model. The feature extraction model comprises alternatively deployed cross-modal encoding parts and visual encoding parts. The extracting comprises: performing, using a first cross-modal encoding part of the feature extraction model, cross-modal feature encoding on a first intermediate visual feature of the image data and a first intermediate textual feature of the text data, to obtain a second intermediate visual feature and a second intermediate textual feature; performing, using a first visual encoding part of the feature extraction model, visual modal feature encoding on the second intermediate visual feature, to obtain a third intermediate visual feature.

Abstract: A method, apparatus, device, and medium for image processing is provided. The method includes generating, using an image generation process, a first set of synthetic images based on a first set of codes associated with the first image class in a codebook and based on a first class feature associated with a first image class; generating, using a feature extraction process, a first set of reference features based on the first set of synthetic images and generating a first set of target features based on a plurality of sets of training images belonging to the first image class in a training image set; and updating the image generation process and the codebook according to at least a first training objective to reduce a difference between each reference feature in the first set of reference features and a corresponding target feature in the first set of target features.

Abstract: The present disclosure relates to a searchable encrypted data sharing method and system based on blockchain and homomorphic encryption, which protects security of sensitive data on the blockchain and realizes searchable and homomorphic calculation of data ciphertext. According to the present disclosure, a data owner encrypts the generated sensitive data and the keywords extracted according to the data with his own key, and then sends the encrypted transaction information to the cloud server. The cloud server verifies the identity of the data owner. If the verification succeeds, the uploaded ciphertext data is stored on a local server, and a ciphertext index, keyword ciphertext and related evidences of the data storage are uploaded to an alliance chain. The alliance chain node verifies the consistency of the uploaded transaction information, and if the verification succeeds, the transaction information is recorded.

Abstract: Embodiments of the present disclosure relate to a method, device and computer readable storage medium of scene text detection. In the method, a first visual representation of a first image is generated with an image encoding process. A first textual representation of a first text unit in the first image is generated with a text encoding process based on a first plurality of symbols obtained by masking a first symbol of a plurality of symbols in the first text unit. A first prediction of the masked first symbol is determined with a decoding process based on the first visual and textual representations. At least the image encoding process is updating according to at least a first training objective to increase at least similarity of the first prediction and the masked first symbol.

Abstract: A charging base, a mobile terminal, and a charging system is provided. The charging base includes a power supply and a charging plate. The charging plate includes a metal housing; and multiple connecting units all provided within the metal housing and connected to the metal housing. Each of the multiple connecting units includes: an accommodating lattice made of an insulating material, provided within and connected to the metal housing; and a dividing part provided within the accommodating lattice. The dividing part divides the accommodating lattice into a first accommodating region and a second accommodating region. A first magnetic material is provided within the first accommodating region, and is electrically connected to the first electrode of the power supply. A second magnetic material is provided within the second accommodating region, and is electrically connected to the second electrode of the power supply.

Abstract: A method is proposed for sample processing. A first group of data are received, here data in the first group of data comprises a sample and a classification of the sample, and the classification belonging to a first group of classifications in a plurality of classifications associated with the data. A plurality of data with the classification are selected from the first group of data. A first and a second loss function are determined for training a classification model that represents an association relationship between samples and classifications of the samples based on a plurality of samples comprised in the plurality of data and the classification, the first and second loss functions represent classification accuracy and a feature distribution for the classification model. The classification model is trained based on the first and second loss functions. Therefore, the accuracy of the classification model may be increased.

Abstract: Embodiments of the present disclosure relate to model training based on synthetic data. According to example embodiments of the present disclosure, synthetic images are generated by providing respective text prompts into a text-to-image generation model. Respective training labels associated with the synthetic images are also generated based on the used text prompts. A target model, which is configured to perform an image classification task, is trained based at least in part on the synthetic images and the associated training labels. Through this solution, a large scale of synthetic images can be automatically obtained and applicable for training a model for image classification, to improve the model performance with data-scare setting or in the case of model pre-training where the training data amount matters.

Abstract: A method is proposed for detecting an object in a 3D scene, including obtaining a detecting model that describes an association relationship between a plurality of base classes of a plurality of objects and 3D data of the plurality of objects. A plurality of open classes of a plurality of candidate objects to be detected in a 3D scene are received, the plurality of open classes comprise the plurality of base classes and at least one novel class not in the plurality of base classes. A 3D portion is detected in 3D data of the 3D scene based on the detecting model and the plurality of open classes, the 3D portion corresponds to a target candidate object in the plurality of candidate objects. With this method, objects that belong to a novel class, not annotated in training data of the detecting model, may be detected from the 3D data.

Abstract: Embodiments of the present disclosure relate to deployment of a plurality of services. In an embodiment, a computer-implemented method is disclosed. According to the method, one or more processors receive a deployment event for a plurality of services in a computing cluster. One or more processors perform a reconciliation process in a virtualized operator environment for deployment of the plurality of services. The reconciliation process comprises obtaining, by the one or more processors, a plurality of task lists for the deployment of the plurality of services by parsing a service specification associated with the deployment event, and deploying, by the one or more processors, the plurality of services into the computing cluster by launching a plurality of executors to execute tasks in the plurality of task lists at least partially in parallel. In other embodiments, a system and a computer program product are disclosed.

Abstract: Some embodiments include a copper (Cu)-doped titania coating layer, including a titania matrix and Cu element doped therein, characterized in that a doping amount of the Cu element is 4-25 mol % of the entire cured coating layer. Some embodiments include a coating composition of the coating layer, and a process for preparing the coating composition, including: (1) preparing a solution comprising a titanium alkoxide and a diluent; (2) preparing a solution comprising a copper precursor compound and a diluent, (3) mixing the above two solutions to obtain a precursor mixture of the composition, wherein in the above steps (1) and (2), the pH value of the solutions is controlled to in the range of 0.1 to 6, and the solutions of steps (1) and (2) are substantially free of water.

Abstract: A conductive foam includes a foam body, a conductive cloth, and a conductive adhesive layer. The conductive cloth wraps an outer surface of the foam body and includes a device contact surface configured to contact an external device for assembly. The conductive adhesive layer is disposed on the device contact surface.

Abstract: A semiconductor structure and its fabrication method are provided in the present disclosure. The method includes providing a layer to-be-etched, including first regions and second regions. The method further includes forming a plurality of discrete first sacrificial layers on the layer to-be-etched, where a plurality of openings is between the plurality of first sacrificial layers and includes first openings on the first regions. The method further includes forming initial sidewall spacer structures on sidewalls of the plurality of first sacrificial layers, where the initial sidewall spacer structures include first sidewall spacers, and the first sidewall spacers fill the first openings. The method further includes, using the first sidewall spacers as an alignment mark, forming a first mask layer on the layer to-be-etched and the initial sidewall spacer structures, where the first mask layer exposes a portion of the layer to-be-etched and a portion of the initial sidewall spacer structures.

Abstract: A mechanism is provided for enhancing security access to a data processing system. Responsive to authenticating a first factor of the multi-factor authentication by matching a scanned fingerprint/thumbprint of a user to at least one previously scanned fingerprint/thumbprint in a set of previously scanned fingerprints/thumbprints, a determination is made as to whether a touch pressure level exerted by the user on a touch pressure sensor associated with the data processing system matches at least one previously stored touch pressure level in a set of previously stored touch pressure levels. Responsive to matching the touch pressure level exerted by the user to a previously stored touch pressure level in the set of previously stored touch pressure levels, a second factor of the multi-factor authentication is authenticated. Access is then granted for the user to the data processing system.

Abstract: Disclosed is an antenna impedance matching circuit, an antenna system, a printed circuit board, and a terminal. The antenna impedance matching circuit comprises: a first transmission line having a first specific length such that the first transmission line is capacitive, and a second transmission line having a second specific length such that the second transmission line is inductive. In particular, the first transmission line and the second transmission line are connected in parallel, and terminals of the first transmission line and the second transmission line are open or shorted.

Abstract: Implementations of the present disclosure relate to methods, devices, and computer program products for data augmentation. In the method, mixed data is generated from first data and second data, and the mixed data comprises a first portion from the first data and a second portion from the second data. An attention map is obtained for the mixed data based on distributions of the first and second portions in the mixed data, here the attention map describes contributions of the first and second data to the mixed data. A label is determined for the mixed data based on the attention map and a first label for the first data and a second label for the second data. With these implementations, the label is determined based on the contributions of the first and second images in an accurate and effective way, and thus has a value that is much closer to the ground true.

Abstract: An antenna array, comprising: an antenna feed point, a first antenna wiring, a second antenna wiring and a filter, wherein the first antenna wiring is connected to the second antenna wiring by means of the filter; the antenna feed point is connected to the first antenna wiring; the filter is located within a predetermined range from the antenna feed point; the working frequency band of the first antenna wiring is a first frequency band; the working frequency band of the second antenna wiring is a second frequency band; and the filter is used for filtering out a third frequency band from the first frequency band, such that the second frequency band passes.

Abstract: The present invention discloses a method for processing a highly alloyed aluminum alloy sheet with a high rolling yield, including the steps of cold rolling and hot rolling of an alloy sheet followed by heat treatment. The highly alloyed Al—Cu—Mg—Ag alloy sheet is subjected to short-time solution treatment and quenching at high temperature for multiple times by increasing the solution treatment temperature and shortening the solution treatment time. In this way, the mechanical properties of the alloy at room temperature and high temperature match with or even exceed those of a conventional alloy subjected to long-time solution treatment at high temperature. The present invention implements multiple times of short-time continuous solution treatment and quenching of a highly-alloyed coiled aluminum alloy sheet. This prevents a large amount of scraps caused by the conventional processes of segmented solution treatment and quenching of the coiled material and stretching straightening treatment.

Abstract: A method for detecting an overlay precision and a method for compensating an overlay deviation are provided.

Abstract: The present invention discloses a method for processing a highly alloyed aluminum alloy sheet with a high rolling yield, including the steps of cold rolling and hot rolling of an alloy sheet followed by heat treatment. The highly alloyed Al—Cu—Mg—Ag alloy sheet is subjected to short-time solution treatment and quenching at high temperature for multiple times by increasing the solution treatment temperature and shortening the solution treatment time. In this way, the mechanical properties of the alloy at room temperature and high temperature match with or even exceed those of a conventional alloy subjected to long-time solution treatment at high temperature. The present invention implements multiple times of short-time continuous solution treatment and quenching of a highly-alloyed coiled aluminum alloy sheet. This prevents a large amount of scraps caused by the conventional processes of segmented solution treatment and quenching of the coiled material and stretching straightening treatment.