Abstract: The present invention relates to the technical field of catalyst preparation, disclosing a preparation method and application of a coated vanadium-tungsten-titanium oxide monolithic SCR catalyst. The method includes the steps of mixing a vanadium oxide precursor, a tungsten oxide precursor, titanium dioxide, an inorganic adhesive, an organic adhesive and a macromolecular surfactant with deionized water and stirring them to obtain a thick liquid; adding a pH adjuster to the thick liquid to make its pH 1.5-4.5; impregnating a cordierite honeycomb carrier in the thick liquid to obtain a preliminarily-impregnated catalyst and dried and calcined the preliminarily-impregnated catalyst to obtain a finished catalyst. The method has advantages such as simple operation, easy repetition and short time-consuming, so it can be applied to exhaust gas post-treatment of a marine diesel engine, and provide a good choice for catalysts used to denitrify medium and high temperature exhausted gas from marine engines.

Abstract: A video processing method and apparatus, an electronic device and a storage medium are provided. The method includes: displaying an identifier of a target video in a session interface, the target video being a video sent or received by a current user; displaying a preset control in an associated position of the identifier; and in response to a triggering of the preset control, executing a target action on the basis of the target video.

Abstract: The present invention provides an anti-PD-L1/anti-CD47 bispecific antibody and a preparation method therefor. The antibody has characteristics of a natural IgG, and is a highly stable heterodimeric form without heavy and light chain mismatching. The bispecific antibody can bind two target molecules at the same time and has a smaller side effect.

Abstract: Provided are an anti-PD-L1/anti-4-1BB natural antibody structure-like heterodimeric form bispecific antibody and a preparation thereof. Specifically, provided are an anti-PD-L1/anti-4-1BB bispecific antibody that has natural IgG features, that has no mismatch between heavy and light chains and that is in the form of a highly stable heterodimer, as well as a preparation method therefor. The bispecific antibody can simultaneously bind two target molecules and is more effective in treating complex diseases and has fewer side effects.

Abstract: Among the various aspects of the present disclosure is the provision of compositions for single-cell reporter assays and methods of use thereof. Also provided are methods of determining individual activities of a plurality of nucleic acid regulatory elements, identifying a regulatory element having cell type-specific activity, or determining variance in activity of a plurality of nucleic acid regulatory elements.

Abstract: A chip system is provided, and is applied to the field of virtualization technologies. In an implementation, a chip system includes a source physical processor, a control apparatus, an intermediate apparatus, a sending apparatus, and a target physical processor. The source physical processor is configured for a host machine or a virtual machine. The control apparatus comprises a register configured to receive information from the host machine or the virtual machine for triggering a virtual interrupt. The intermediate apparatus is configured to send the virtual interrupt to the sending apparatus. The sending apparatus is configured to receive the virtual interrupt from the intermediate apparatus and send the virtual interrupt to the target physical processor.

Abstract: A computer device is disclosed. In a virtualization I/O procedure, a redirection apparatus in a processor is used to implement privilege level switching in a synchronization processing procedure, to directly switch from a virtualization privilege level of a VM to a user mode of a host, and perform corresponding exception processing. In an asynchronous processing procedure, an interrupt request may be asynchronously transferred by using a virtual event notification apparatus and an interrupt controller in the processor without passing through a kernel mode of the host. In both of a synchronous processing procedure and the asynchronous processing procedure of the device, overheads generated during switching are reduced, and performance of the computer device is improved.

Abstract: A method for handling an exception or interrupt in a heterogeneous instruction set architecture is provided. A physical host to which the method is applied can support two instruction set architectures. When a secondary architecture virtual machine triggers an exception or interrupt, a virtual machine monitor may translate code of the exception or interrupt in a secondary instruction set architecture into code of the exception or interrupt in a primary instruction set architecture. The virtual machine monitor) may identify the code of the exception or interrupt in the primary instruction set architecture. The virtual machine monitor identifies, based on the translated code, a type of the exception or interrupt triggered by the secondary architecture virtual machine, to handle the exception or interrupt.

Abstract: A service may create image-based reviews, which include minimal or no text, to assist customers in researching products. The reviews may include images sorted or grouped (e.g., by sentiment, by product review rating, by age of item, by number of uses, etc.). Images of items may be obtained by the service from user reviews and/or other sources. The images may be associated with text, such as at least some text from associated reviews, commentary, and/or other metadata. The images may be analyzed by a classifier to identify features in the visual image, such as a location of a particular item. The images may be categorized for use in one or more user interfaces that provide image-based item reviews. In some embodiments, the images may be arranged based on a number of uses of the item in the image or by an item age of the item in the image.

Abstract: A recommendation system uses artificial intelligence to identify, based on negative sentiment cues from users, item attributes, such as keywords, that users may find offensive or undesirable. The negative sentiment cues may be explicit (e.g., a user selects an option not to view a particular recommendation again), implicit (e.g., a user does not interact with recommendations relating to an attribute), or both. The system may use a computer model generated based on these identified attributes to filter or modify recommendations to a user or group of users. For instance, if a particular keyword is identified as highly offensive to a group of users, items associated with the keyword may be filtered from item recommendations presented to the group of users. If an attribute is identified as moderately offensive to a user, items associated with the attribute may be down-weighted in item recommendations presented to the user.

Abstract: A recommendation system uses artificial intelligence to identify, based on negative sentiment cues from users, item attributes, such as keywords, that users may find offensive or undesirable. The negative sentiment cues may be explicit (e.g., a user selects an option not to view a particular recommendation again), implicit (e.g., a user does not interact with recommendations relating to an attribute), or both. The system may use a computer model generated based on these identified attributes to filter or modify recommendations to a user or group of users. For instance, if a particular keyword is identified as highly offensive to a group of users, items associated with the keyword may be filtered from item recommendations presented to the group of users. If an attribute is identified as moderately offensive to a user, items associated with the attribute may be down-weighted in item recommendations presented to the user.

Abstract: A method and an authentication apparatus are provided by the embodiments of the present disclosure. In the embodiments of the present disclosure, data to be processed is obtained, a character sequence is generated based on the data, physiological feature information sequentially inputted by a user is received to obtain a feature information sequence and it is determined whether every piece of physiological feature information in the feature information sequence matches with the corresponding character in the character sequence.

Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.

Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.

Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.

Abstract: A method and an authentication apparatus are provided by the embodiments of the present disclosure. In the embodiments of the present disclosure, data to be processed is obtained, a character sequence is generated based on the data, physiological feature information sequentially inputted by a user is received to obtain a feature information sequence and it is determined whether every piece of physiological feature information in the feature information sequence matches with the corresponding character in the character sequence.