Abstract: The present disclosure relates to a crystal form of a pyridopyrimidine derivative and a preparation method thereof, and specifically relates to the crystal form of the compound of formula (I) and a preparation method thereof. The new crystal form has good physical and chemical properties, thereby facilitating clinical treatments.

Abstract: The disclosure provides an improved process for preparing oleophobic fluoropolymers. The resulting fluropolymers were found to be effective in imparting hydrophobic and oleophobic properties to porous polymeric membranes such as PTFE. The treated PTFE membrane can reach an oleophobic level of 6 or above, (according to the AATCC-118-1997 oil repellency test method) with a low air flux loss.

Abstract: A fused pyridine ring derivative represented by general formula (I), a preparation method therefor, a pharmaceutical composition containing the derivative, and a use thereof as a therapeutic agent, particularly, in preparation of drugs for preventing and/or treating HIV infection.

Abstract: The disclosure provides a process for preparing an oleophobic fluoropolymer emulsion. The resulting fluoropolymer emulsion has excellent hydrophobic and oleophobic modification ability (as coatings) on polyester fibers such as polyester (PET), polypropylene (PP) and woven and nonwoven fabrics. Accordingly, the woven and nonwoven materials so coated are useful in venting filter applications.

Abstract: Disclosed is a pyrazolo-heteroaryl derivative, a preparation method therefor, and medical use thereof. In particular, the present invention relates to a pyrazolo-heteroaryl derivative as shown in the general formula (I), a preparation method therefor, a pharmaceutical composition containing the derivative, and a use thereof as a therapeutic agent, particularly as ATR kinase inhibitor and in the preparation of drugs for the treatment and/or prevention of hyperproliferative diseases. The definition of each group in the general formula (I) is identical as in the specification.

Abstract: Technical solutions for video event recognition relate to the fields of knowledge graphs, deep learning and computer vision. A video event graph is constructed, and each event in the video event graph includes: M argument roles of the event and respective arguments of the argument roles, with M being a positive integer greater than one. For a to-be-recognized video, respective arguments of the M argument roles of a to-be-recognized event corresponding to the video are acquired. According to the arguments acquired, an event is selected from the video event graph as a recognized event corresponding to the video.

Abstract: Disclosed are a method for processing multimodal data using a neural network, a device, and a medium, and relates to the field of artificial intelligence and, in particular to multimodal data processing, video classification, and deep learning. The neural network includes: an input subnetwork configured to receive the multimodal data to output respective first features of a plurality of modalities; a plurality of cross-modal feature subnetworks, each of which is configured to receive respective first features of two corresponding modalities to output a cross-modal feature corresponding to the two modalities; a plurality of cross-modal fusion subnetworks, each of which is configured to receive at least one cross-modal feature corresponding to a corresponding target modality and other modalities to output a second feature of the target modality; and an output subnetwork configured to receive respective second features of the plurality of modalities to output a processing result of the multimodal data.

Abstract: A computer-implemented method is provided. The method includes: obtaining a sample text and a sample image corresponding to the sample text; labeling a true semantic tag for the sample text according to a first preset rule; obtaining a text feature representation of the sample text and a predicted semantic tag output by a text coding sub-model; obtaining an image feature representation of the sample image output by an image coding sub-model; calculating a first loss based on the true semantic tag and the predicted semantic tag; calculating a contrast loss based on the text feature representation of the sample text and the image feature representation of the sample image; adjusting parameters of the text coding sub-model based on the first loss and the contrast loss; and adjusting parameters of the image coding sub-model based on the contrast loss.

Abstract: A method and an apparatus for satellite laser broadband demodulation are provided. The method includes: setting a residual carrier to a carrier acquisition range of a receiver, pulling the residual carrier to an MHz level by adjusting a frequency of a local oscillator laser, and obtaining a precise carrier frequency according to an accurate frequency acquisition, such that the residual carrier enters a fast acquisition band of a carrier tracking phase-locked loop. After carrier acquisition is achieved, carrier tracking and data recovery processing are performed. According to the present disclosure, signal equalization of an ultra-high bandwidth/ultra-high bit rate can be implemented, and carrier acquisition, tracking, and demodulation are quickly achieved for a modulation signal in a high dynamic range.

Abstract: This application discloses a new class of fused tricyclic heterocycles of formula (I), preparation methods thereof, pharmaceutical compositions comprising these compounds, and pharmaceutically acceptable salts, solvates, or prodrugs thereof, and their uses for the treatment of diseases in which modulation of STING is beneficial, for example, cancers, pre-cancerous disorders, and viral infections.

Abstract: Provided is an antibody molecule or antigen-binding fragment thereof capable of binding to the human PD-L1. Also provided is the use of the antibody molecule or antigen-binding fragment thereof in the preparation of a medicament for treating tumors or cancers. Compared with the existing anti-PD-L1 antibodies, the provided antibody has superior affinity and dissociation rate for PD-L1, lower immunogenicity, and better tumor inhibition effects.

Abstract: A stereoscopic warehousing equipment comprising a conveying line assembly, a left storage assembly located at left end of the conveying line assembly, a right storage assembly located on tright end of the conveying line assembly, and a transferring carrying assembly arranged above the conveying line assembly and located between the left storage assembly and the right storage assembly, wherein the conveying line assembly comprising a conveying line mounting frame, an upper speed-chain conveying line and a lower speed-chain conveying line, wherein the conveying line mounting frame is provided with a lifting conveying platform located at front end of the upper and lower speed-chain conveying lines, wherein the lifting conveying platform comprising an electric lifting platform and a middle speed-chain conveying line, wherein the transferring carrying assembly comprising a transferring carrying portal frame, a horizontal driving linear module, a left carrying mechanism and a right carrying mechanism.

Abstract: The present invention relates to benzimidazole derivatives of formula (I) as inhibitors of retinoid-related orphan receptor gamma (ROR?) protein, pharmaceutical compositions containing the compounds, preparation methods thereof, and the use of the compounds as therapeutic agents for the treatment of ROR?-mediated diseases or disorders.

Abstract: The present invention relates to an inhibitor of DJ-1 (PARK7) for use in a method of treatment or prevention of immunoaging in a subject. In particular, the present invention relates to an inhibitor of DJ-1 for use in a method of treatment or prevention of an immunoaging-related disease in a subject, for use in a method of treatment or prevention of a premature aging disease in a subject, or for use in a method of treatment or prevention of vaccination inefficiency in a subject. In particular embodiments, the subject has been selected to have or has a premature aging disease, such as progeria, or the subject is an elderly subject.

Abstract: A stereoscopic warehousing equipment comprising a conveying line assembly, a left storage assembly located at left end of the conveying line assembly, a right storage assembly located on right end of the conveying line assembly, and a transferring carrying assembly arranged above the conveying line assembly and located between the left storage assembly and the right storage assembly, wherein the conveying line assembly comprising a conveying line mounting frame, an upper speed-chain conveying line and a lower speed-chain conveying line, wherein the conveying line mounting frame is provided with a lifting conveying platform located at front end of the upper and lower speed-chain conveying lines, wherein the lifting conveying platform comprising an electric lifting platform and a middle speed-chain conveying line, wherein the transferring carrying assembly comprising a transferring carrying portal frame, a horizontal driving linear module, a left carrying mechanism and a right carrying mechanism.

Abstract: An ultrathin chemically toughened glass article has a thickness of no more than 0.4 mm. In order to improve the sharp impact resistance, the glass article has a breakage height (given in mm) of more than 50 multiplied by the thickness (t) of the glass article (given in mm). Further, it has a breakage bending radius (given in mm) of less than 100000 multiplied by the thickness (t) of the glass article (given in mm) and divided by the figure of the surface compressive stress (in MPa) measured at the first surface.

Abstract: A foldable cover article has a total thickness t?300 ?m, which is bendable to a minimum bending radius r?20 mm without breakage and a pencil hardness HR?HB. The foldable cover article includes a glass or glass-ceramic substrate with a thickness 5 ?m?t1?150 ?m and a polymer layer and/or a hard material coating with a total thickness 5 ?m?t2?150 ?m. For each 20 mm width of the foldable cover article, when the foldable cover article is broken upon bending along the direction perpendicular to the width, a number of projects with a longest linear extension L?5 mm is less than 10 and/or a number of projects with a longest linear extension L<5 mm is less than 50.

Abstract: The present disclosure discloses a method for training a cross-modal retrieval model, an electronic device and a storage medium, and relates to the field of computer technologies, and particularly to the field of artificial intelligence technologies, such as knowledge graph technologies, computer vision technologies, deep learning technologies, or the like. The method for training a cross-modal retrieval model includes: determining similarity of a cross-modal sample pair according to the cross-modal sample pair, the cross-modal sample pair including a sample of a first modal and a sample of a second modal, and the first modal being different from the second modal; determining a soft margin based on the similarity, and determining a soft margin loss function based on the soft margin; and determining a total loss function based on the soft margin loss function, and training a cross-modal retrieval model according to the total loss function.

Abstract: A method for generating an account intimacy includes: obtaining a set of accounts in an instant messaging (IM) group; obtaining a communication frequency between two accounts in the set of accounts within a preset time period; generating a communication network graph based on the communication frequency; obtaining an embedding vector of each account output by a graph model, in which the graph model is trained based on the communication network graph; and generating an intimacy between two accounts based on the embedding vectors of the two accounts.

Abstract: The present disclosure discloses a video classification method, an electronic device and a storage medium, and relates to the field of computer technologies, and particularly to the field of artificial intelligence technologies, such as knowledge graph technologies, computer vision technologies, deep learning technologies, or the like. The video classification method includes: extracting a keyword in a video according to multi-modal information of the video; acquiring background knowledge corresponding to the keyword, and determining a text to be recognized according to the keyword and the background knowledge; and classifying the text to be recognized to obtain a class of the video.