Abstract: The invention provides a colonic microbiota responsive polymer characterized in that it is prepared by the polymerization of a response monomer and a linking monomer, wherein the response monomer is a cellobiose with a B-(1,4)-glucoside bond or/and a lactose with a p-galactoside bond; the linking monomer is a monomer that reacts with the hydroxyl group of the response monomer to form an ester or ether directly or by a crosslinking agent. The invention also provides a method for preparation of a colonic microbiota responsive polymer, a degradable film based on the polymer and a preparation method thereof. By means of the characteristics that B-(1,4)-glucoside bond provided by cellobiose or/and p-galactoside bond provided by lactose monomer unit in the polymer can specifically respond to the high abundance of microbiotas (p-glucosidase or/and p-galactosidase) in the colon to specifically degrade in the colon, a colon-targeted delivery system for diagnosis and treatment of colon diseases is constructed.

Abstract: Disclosed is a method for testing and evaluating a short-circuit withstand capability of a press-pack power component.

Abstract: A method for reducing frequency interference, and a communication satellite system. The method includes configuring the communication satellite system, determining a first range of areas in which a spatial isolation angle between the LEO satellite and the GEO satellite does not satisfy a minimum spatial isolation angle within service areas of the movable spot beams, enabling the movable spot beams to not enter the areas, and when the movable spot beams of the transmitting and receiving user antennas of multiple adjacent LEO satellites provide services to a same area, calculating a spatial isolation angles between the movable spot beams of the transmitting and receiving user antennas of any two adjacent LEO satellites, and in response to the spatial isolation angle not satisfying the minimum spatial isolation angle, assigning different sub-frequencies to the movable spot beams that do not satisfy the minimum spatial isolation angle.

Abstract: Disclosed in embodiments of the present invention are a processing method and apparatus based on an interest tag, a device, and a storage medium. The method comprises: in a process of displaying an information flow in a preset application program, detecting that an interest tag display event is triggered; and displaying a first page, and dynamically switching and displaying, in the first page, different subsets in a preset interest tag set, wherein the number of interest tags in the subsets is more than one and is smaller than the total number of interest tags in the preset interest tag set.

Abstract: A method for processing sound information, the method including: obtaining, by a terminal with a graphical user interface, viewer position information of a viewer identifier in the graphical user interface and broadcaster position information of a broadcaster identifier in the graphical user interface; determining, by the terminal, orientation information of the broadcaster identifier relative to the viewer identifier according to the viewer position information and the broadcaster position information; and obtaining, by the terminal, broadcaster sound information corresponding to the broadcaster identifier, and obtaining stereo sound information by converting the broadcaster sound information based on the orientation information.

Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.

Abstract: The present disclosure provides an image processing method and apparatus, and relates to the field of image processing, and in particular to the field of image annotation. An implementation is: obtaining an image to be processed including a target region to be annotated; in response to a first click on the target region, performing a first operation to expand a predicted region for the target region based on a click position of the first click; in response to a second click in a position where the predicted region exceeds the target region, performing a second operation to reduce the predicted region based on a click position of the second click; and in response to determining that a difference between the predicted region and the target region meets a preset condition, obtaining an outline of the predicted region to annotate the target region.

Abstract: The present disclosure provides an information display control method and apparatus, an electronic device, and a storage medium, relating to the field of live streaming technology. The information display control method comprises: acquiring subject data corresponding to real-time video data being played on a target interface; according to the subject data, acquiring, from a content interactive platform, content data corresponding to the subject data; and simultaneously displaying, on the target interface, the real-time video data and the content data.

Abstract: Techniques performed by a data processing system for reconstructing a three-dimensional (3D) model of the face of a human subject herein include obtaining source data comprising a two-dimensional (2D) image, three-dimensional (3D) image, or depth information representing a face of a human subject. Reconstructing the 3D model of the face also includes generating a 3D model of the face of the human subject based on the source data by analyzing the source data to produce a coarse 3D model of the face of the human subject, and refining the coarse 3D model through free form deformation to produce a fitted 3D model. The coarse 3D model may be a 3D Morphable Model (3DMM), and the coarse 3D model may be refined through free-form deformation in which the deformation of the mesh is limited by applying an as-rigid-as-possible (ARAP) deformation constraint.

Abstract: Techniques performed by a data processing system for reconstructing a three-dimensional (3D) model of the face of a human subject herein include obtaining source data comprising a two-dimensional (2D) image, three-dimensional (3D) image, or depth information representing a face of a human subject. Reconstructing the 3D model of the face also includes generating a 3D model of the face of the human subject based on the source data by analyzing the source data to produce a coarse 3D model of the face of the human subject, and refining the coarse 3D model through free form deformation to produce a fitted 3D model. The coarse 3D model may be a 3D Morphable Model (3DMM), and the coarse 3D model may be refined through free-form deformation in which the deformation of the mesh is limited by applying an as-rigid-as-possible (ARAP) deformation constraint.

Abstract: Disclosed are a high-precision resistance measurement system and method combining a micro-differential method and a ratiometric method. The system includes a constant-current source, a reference resistor, a first differential amplifier, a programmable gain amplifier (PGA), an ADC, a microprocessor, a DAC and a to-be-measured resistor interface. The reference resistor and a to-be-measured resistor are connected in series between the constant-current source and ground. The voltage across the reference resistor is inputted to the first differential amplifier, and the output of the first differential amplifier is used as the reference voltage for the ADC and the DAC. The single-ended voltage to ground of the to-be-measured resistor and the output voltage of the DAC are inputted to the PGA in differential manner, and the PGA outputs the amplified difference voltage to the ADC. The output terminal of the ADC and the input terminal of the DAC are both connected to the microprocessor.

Abstract: Disclosed are a high-precision resistance measurement system and method combining a micro-differential method and a ratiometric method. The system includes a constant-current source, a reference resistor, a first differential amplifier, a programmable gain amplifier (PGA), an ADC, a microprocessor, a DAC and a to-be-measured resistor interface. The reference resistor and a to-be-measured resistor are connected in series between the constant-current source and ground. The voltage across the reference resistor is inputted to the first differential amplifier, and the output of the first differential amplifier is used as the reference voltage for the ADC and the DAC. The single-ended voltage to ground of the to-be-measured resistor and the output voltage of the DAC are inputted to the PGA in differential manner, and the PGA outputs the amplified difference voltage to the ADC. The output terminal of the ADC and the input terminal of the DAC are both connected to the microprocessor.

Abstract: The disclosure provides a method and an apparatus for processing visual data of a deep model, and an electronic device. The method includes: determining a user identifier in a request of displaying a workspace in response to acquiring the request; acquiring a set of historical visual data associated with the user identifier; and displaying the set of historical visual data in a page of a workspace of a user corresponding to the user identifier.

Abstract: Techniques performed by a data processing system for reconstructing a three-dimensional (3D) model of the face of a human subject herein include obtaining source data comprising a two-dimensional (2D) image, three-dimensional (3D) image, or depth information representing a face of a human subject. Reconstructing the 3D model of the face also includes generating a 3D model of the face of the human subject based on the source data by analyzing the source data to produce a coarse 3D model of the face of the human subject, and refining the coarse 3D model through free form deformation to produce a fitted 3D model. The coarse 3D model may be a 3D Morphable Model (3DMM), and the coarse 3D model may be refined through free-form deformation in which the deformation of the mesh is limited by applying an as-rigid-as-possible (ARAP) deformation constraint.

Abstract: The present invention relates to a rapid low-temperature self-heating method and device for a battery. Active controllable large-current lossless short-circuit self-heating cooperates with an external heater to implement rapid composite heating, so that a battery is rapidly heated in a low-temperature environment and is controlled to fall within an optimal working temperature interval, so as to improve energy utilization of the battery and durability of a battery system. Before the battery system is started, battery temperature is first determined; when the temperature is less than a threshold, an external short-circuit is first proactively triggered to generate a large current to implement self-heating inside the battery. The method is simple, easy to implement, and safe and reliable, and can effectively resolve a problem that an electric vehicle has large capacity degradation and poor working performance in a low-temperature severe cold working condition.

Abstract: Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.

Abstract: The present invention relates to a rapid low-temperature self-heating method and device for a battery. Active controllable large-current lossless short-circuit self-heating cooperates with an external heater to implement rapid composite heating, so that a battery is rapidly heated in a low-temperature environment and is controlled to fall within an optimal working temperature interval, so as to improve energy utilization of the battery and durability of a battery system. Before the battery system is started, battery temperature is first determined; when the temperature is less than a threshold, an external short-circuit is first proactively triggered to generate a large current to implement self-heating inside the battery. A method for determining a large-current lossless short-circuit time threshold is disclosed.

Abstract: A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.

Abstract: Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.