Abstract: Provided are a fused tricyclic cyclin-dependent kinase inhibitor, and a preparation method therefor and a pharmaceutical use thereof. In particular, the structure of the fused tricyclic cyclin-dependent kinase inhibitor is shown in formula I, wherein substituents are defined in the description. The fused tricyclic cyclin-dependent kinase inhibitor is used for preventing and/or treating cyclin-dependent kinase related diseases, in particular cancers.

Abstract: A method for training a machine learning model is described, comprising receiving, for each perturbation of a plurality of perturbations of model parameters of a starting version of the machine learning model, a change of loss of the machine learning model caused by the perturbation for a set of training data determined by feeding the set of training data to one or more perturbed versions of the machine learning model, estimating a gradient of the loss of the machine learning model with respect to the model parameters from the determined changes of loss and updating the starting version of the machine learning model to an updated version of the machine learning model by changing the model parameters in a direction for which the estimated gradient indicates a reduction of loss.

Abstract: A big data-based intelligent algorithm for an intraoral prosthesis design scheme establishes an intraoral prosthesis design scheme database based on predetermined data of partially edentulous jaw, and is configured to conduct an accurate search for data of partially edentulous jaw to obtain a recommendation list of an accurate theme and a corresponding design scheme for an intraoral prosthesis design, or conduct a fuzzy search for data of partially edentulous jaw to obtain a recommendation list of a fuzzy theme and a corresponding design scheme for an intraoral prosthesis design. When oriented to a digital design of a removable partial denture, the intelligent system for the intraoral prosthesis design scheme constructed based on this intelligent algorithm displays a large number of intraoral prosthesis design schemes of different design themes to dental technicians in a three-dimensional manner.

Abstract: A method for fault isolation includes: acquiring a thermal imaging picture of a surface of a to-be-tested chip, the thermal imaging picture being obtained by scanning the to-be-tested chip to which a test signal is applied through an infrared thermal imaging device, and analyzing the thermal imaging picture to obtain a phase angle of each point on the surface of the to-be-tested chip; acquiring a three-dimensional image of the surface of the to-be-tested chip, the three-dimensional image being obtained by scanning the to-be-tested chip to which the test signal is applied through an image scanning device, and analyzing the three-dimensional image to obtain a three-dimensional coordinate of each point on the surface of the to-be-tested chip; calculating a three-dimensional coordinate of the fault in the to-be-tested chip according to the phase angle and the three-dimensional coordinate of each point on the surface of the to-be-tested chip.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.

Abstract: A display module and manufacturing method thereof. The display module comprises a display screen, a first absorption polarizer, a first quarter wave plate, an optical lens component, and a convex lens component in sequence from a display side to a viewing side. The optical lens component and the convex lens component are optically coaxial. The convex lens component comprises a convex lens, a second absorption polarizer, and an optical integrated element, which are laminated in sequence from the viewing side to the display side. The optical integrated element comprises a second quarter wave plate and, on one side surface of the optical integrated element, a coated reflective polarizing film or a nano-imprinted metal grating. The reflective polarizing film or the metal grating is attached to the second absorption polarizer.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.

Abstract: A display module and manufacturing method thereof. The display module comprises a display screen, a first absorption polarizer, a first quarter wave plate, an optical lens component, and a convex lens component in sequence from a display side to a viewing side. The optical lens component and the convex lens component are optically coaxial. The convex lens component comprises a convex lens, a second absorption polarizer, and an optical integrated element, which are laminated in sequence from the viewing side to the display side. The optical integrated element comprises a second quarter wave plate and, on one side surface of the optical integrated element, a coated reflective polarizing film or a nano-imprinted metal grating. The reflective polarizing film or the metal grating is attached to the second absorption polarizer.

Abstract: Provided are a photosensitive assembly, a camera module, and an electronic device. The electronic device includes an electronic device body and a camera module mounted on the electronic device body. The camera module includes a lens and a photosensitive assembly. The photosensitive assembly includes a circuit board, a photosensitive element, a base, and an adhesive. The circuit board is provided with an accommodation cavity that extends through the circuit board. The photosensitive element is accommodated in the accommodation cavity and electrically connected to the circuit board. The base is disposed on the circuit board. The lens is located in the photosensitive path of the photosensitive element. The adhesive includes a first adhesive portion and a second adhesive portion. The first adhesive portion is located in the accommodation cavity. The second adhesive portion is located outside the accommodation cavity.

Abstract: A method for pre-training a language model includes: constructing a pre-training language data set, in which the pre-training language data set comprises unsupervised language data and supervised language data; generating a hierarchical multi-template and multi-task language data set based on the pre-training language data set; and pre-training the language model based on the hierarchical multi-template and multi-task language data set.

Abstract: A method, an apparatus, a device and a storage medium for learning a knowledge representation are provided. The method can include: sampling a sub-graph of a knowledge graph from a knowledge base; serializing the sub-graph of the knowledge graph to obtain a serialized text; and reading using a pre-trained language model the serialized text in an order in the sub-graph of the knowledge graph, to perform learning to obtain a knowledge representation of each word in the serialized text. The knowledge representation learning in this embodiment is performed for entity and relationship representation learning in the knowledge base.

Abstract: The present invention discloses a livestock tracing system and method. The system includes: a feeding module, an adopting and purchasing module, a weighing module, a server, a first commutation module and a second communication module; the feeding module is configured to provide food intake information of livestock and transmit the food intake information to the server via the first communication module; the weighing module is configured to provide weight information of the livestock and transmit the weight information to the server via the second communication module; the adopting and purchasing module is configured to provide vaccine information of the livestock and transmit the vaccine information to the server; and the server is configured to store the food intake information, the weight information and the vaccine information, and obtain corresponding tracing information according to a tracing look-up instruction.

Abstract: A universal wireless charging receiver for an electronic device is provided. The universal wireless charging receiver includes a base casing, a first magnetic shielding element, a power supply module and an induction coil. The first magnetic shielding element, the power supply module and the induction coil are installed in the base casing. The power supply module is located over the first magnetic shielding element. A magnetic field is shielded by the first magnetic shielding element. Consequently, an eddy current is not generated by the power supply module through the magnetic field.

Abstract: A system, automobile, and method for implementing an electronic control function of an automobile. The system includes a first vehicle integration unit (VIU), an automobile control unit, and a plurality of automobile parts. The automobile control unit includes a first domain controller (DC) or a central computing platform (CCP). The automobile control unit is configured to send first control information to the first VIU. The first VIU is configured to control the plurality of automobile parts based on the first control information. In embodiments of this application, the first VIU controls the plurality of automobile parts.

Abstract: A method and apparatus for pre-training a model, a device, a storage medium, and a program product. An embodiment of the method includes: acquiring a sample natural language text; generating N types of prompt words based on the sample natural language text, where N is a positive integer; generating sample input data based on the sample natural language text and the N types of prompt words; and training an initial language model based on the sample input data, to obtain a pre-trained language model.

Abstract: The subject technology determines, by at least one processor, that a value of a capability parameter is not available for a first recipient device, the first recipient device being one of a plurality of recipient devices. The subject technology receives, from the first recipient device, a value of the capability parameter. The subject technology clusters, by at least one processor, the plurality of recipient devices into a plurality of groups of recipient devices based on device capabilities including an available storage space. The subject technology determines, for each group of recipient devices, a set of content parameters compatible with device capabilities of the plurality of recipient devices of a group of client devices. The subject technology generates, for each group of recipient devices, a version of content according to an associated set of content parameters.

Abstract: In an example, a method of decoding video data includes generating a residual block of a picture based on a predicted residual block including reconstructing one or more residual values of the residual block based on one or more predicted residual values of the residual block. The method also includes generating a current block of the picture based on a combination of the residual block and a prediction block of the picture.

Abstract: The present application provides a method of training a natural language processing model, which relates to a field of artificial intelligence, and in particular to a field of natural language processing. A specific implementation scheme includes: performing a semantic learning for multi-tasks on an input text, so as to obtain a semantic feature for the multi-tasks, wherein the multi-tasks include a plurality of branch tasks; performing a feature learning for each branch task based on the semantic feature, so as to obtain a first output result for each branch task; calculating a loss for each branch task according to the first output result for the branch task; and adjusting a parameter of the natural language processing model according to the loss for each branch task. The present application further provides a method of processing a natural language, an electronic device, and a storage medium.

Abstract: A system, automobile, and method for implementing an electronic control function of an automobile. The system includes a first vehicle integration unit (VIU), an automobile control unit, and a plurality of automobile parts. The automobile control unit includes a first domain controller (DC) or a central computing platform (CCP). The automobile control unit is configured to send first control information to the first VIU. The first VIU is configured to control the plurality of automobile parts based on the first control information. In embodiments of this application, the first VIU controls the plurality of automobile parts.

Abstract: A method for generating a vector representation of a text includes dividing the text into text segments. Each text segment is represented as a segment vector corresponding to the respective text segment by employing a first-level semantic model. The segment vector is configured to indicate a semantics of the text segment. Text semantics recognition is performed on the segment vector of each text segment by employing a second-level semantic model to obtain a text vector for indicating a topic of the text.