Abstract: Examples of video encoding methods and apparatus and video decoding methods and apparatus are described. An example method of processing video data includes determining, for a conversion between a video block of a video and a bitstream of the video, a gradient of a prediction vector at a sub-block level for the video block according to a rule, wherein the rule specifies to use a same gradient value is assigned for all samples within a sub-block of the video block; and performing the conversion based on the determining.

Abstract: A negative electrode composition includes a silicon containing material and a crosslinked polymer containing coating surrounding at least a portion of the silicon containing material. The crosslinked polymer containing coating comprises a (co)polymer derived from polymerization of one or more vinylic monomers comprising a carboxyl or carboxylate group.

Abstract: Disclosed are a target LED chip with a reflective layer and a manufacturing method. The method comprises providing a target substrate to a bottom of an initial LED chip, to obtain a first LED chip; depositing a first target liquid onto a top surface of the first LED chip to form a target protective layer, so as to obtain a second LED chip; etching the second LED chip from the target protective layer, to obtain a third LED chip; treating the third LED chip according to a first target method to form reflective layers, so as to obtain a fourth LED chip; and removing top reflective layers, second side wall reflective layers and first sub-protective layers of the plurality of second LED sub-units, to obtain the target LED chip comprising the plurality of target LED sub-units and the target substrate.

Abstract: Method of inhibiting a protein-protein interaction between Von Hippel-Lindau tumor-suppressor protein and hypoxia-inducible factor 1-alpha useful in the treatment of angiogenesis-related diseases and promoting wound healing.

Abstract: Some aspects relate to techniques for calibrating a logging tool. In some implementations, the logging tool may estimate certain unknown properties of a signal based on distances between transmitters and receivers of the logging tool and based on frequencies used by the transmitters and receivers. The logging tool may estimate the unknown properties by interpolating values into a mathematical function related to the above-noted distances and frequencies. After estimating the unknown properties, the logging tool may be deployed into the wellbore, where it may use the estimated properties to process signals received through a subsurface formation.

Abstract: Examples of video encoding methods and apparatus and video decoding methods and apparatus are described. An example method of processing video data includes determining, for a conversion between a video block of a video and a bitstream of the video, a gradient of a prediction vector at a sub-block level for the video block according to a rule, wherein the rule specifies to use a same gradient value is assigned for all samples within a sub-block of the video block; and performing the conversion based on the determining.

Abstract: A device includes a voltage regulator circuit configured to pull up a voltage at an output terminal to equal to half of a supply voltage; multiple first transistors coupled between the output terminal and a voltage terminal providing the supply voltage; and a control circuit configured to pull down gate voltages of the first transistors from the supply voltage to a voltage level between the supply voltage and a ground voltage at a first time. The first transistors are configured to pull up the voltage at the output terminal to the supply voltage at a second time.

Abstract: The present disclosure provides a direct current (DC) transformer error detection apparatus for a pulsating harmonic signal, including a DC and pulsating harmonic current output module and an external detected input module, where the DC and pulsating harmonic current output module outputs a DC and a DC superimposed pulsating harmonic current to an internal sampling circuit and a self-calibrated standard resistor array; and the internal sampling circuit converts the input DC and the input DC superimposed pulsating harmonic current into a voltage signal, and sends the voltage signal to an analog-to-digital (AD) sampling and measurement component through a front-end conditioning circuit and a detected input channel. The DC transformer error detection apparatus can complete self-calibration for measurement of the DC and the pulsating harmonic signal on a test site.

Abstract: Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

Abstract: The present application discloses a communication method, a terminal, a server, a communication system, a computer device and a medium. The communication method includes that a server establishes a connection and feeds back a display control in response to requests of a first terminal and a second terminal; then, the server feeds back function feedback information in response to a function request of the first terminal, and feeds back function feedback information in response to a menu request of the second terminal; and the servers presents multiple interface components and maintains and updates each interface component in response to management operation of a third user.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for dynamic update of a computer program in memory. According to the method, one or more processors obtain incremental information, the incremental information specifying an incremental update to at least one section of at least one target function in a computer program. One or more processors identify, based on the incremental information, the at least one target function to be updated from the computer program. One or more processors generate at least one updated copy of the at least one target function by updating the at least one section of the at least one target function based on the incremental information. One or more processors update the computer program based on the at least one updated copy of the at least one target function while the computer program is running.

Abstract: An electronic device may be provided with peripheral conductive housing structures, a first antenna, and a second antenna. A gap may divide the housing structures into a first segment forming an arm of the first antenna and a second segment forming an arm of the second antenna. A first feed terminal may be coupled to the first segment and a second feed terminal may be coupled to the second segment. Switchable components may be coupled in parallel between the first and second feed terminals across the gap. The switchable components may be adjusted to tune the frequency response of the first and/or second antenna. The switchable components may have a first state in which only the first feed terminal feeds the first antenna and may have a second state in which both the first and second feed terminals feed the first antenna.

Abstract: A system for refrigerant leakage detection includes one or more sensors configured to detect one or more parameters of a building system including a refrigerant. The system further includes one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive sensor data from the one or more sensors; apply the sensor data to a long short-term memory (LSTM) model to generate predicted sensor data corresponding to the one or more sensors; receive subsequent sensor data from the one or more sensors; compare the predicted sensor data to the subsequent sensor data; determine that the building system has a refrigerant leakage based on the comparison of the predicted sensor data to the subsequent sensor data; and, responsive to determining that the building system has the refrigerant leakage, take an action to address the refrigerant leakage.

Abstract: A high-throughput microstructure characterization and reconstruction method of heterogeneous materials is provided. By extracting the features such as content, size and morphology of each constituent phase in the microscopic image of heterogeneous materials, and combining the principles of physical descriptor and texture synthesis method, the constituent phase with 10 microns scale, regular geometrical morphology and low content is characterized and reconstructed based on the physical descriptor, and the constituent phase with 100 microns scale, complex geometrical morphology and high content is characterized and reconstructed based on texture synthesis, and then the composition is adjusted to compensate for the overlapping pixels of each constituent phase to obtain batch reconstructed images.

Abstract: In some implementations, a liquid crystal on silicon panel includes a backplane with an electrical contact formed on the backplane, a first alignment layer disposed on the backplane and interfacing with the electrical contact, a conductive layer that is light transmissive, a second alignment layer disposed on the conductive layer, and a plurality of beads in an electrically-conductive adhesive between the first alignment layer and the second alignment layer. Electrically-conductive particles within the electrically-conductive adhesive may make the electrically-conductive adhesive electrically-conductive. A first set of the electrically-conductive particles may puncture the first alignment layer to contact the electrical contact, and a second set of the electrically-conductive particles may puncture the second alignment layer to contact the conductive layer. An electrical connection of the electrical contact and the conductive layer may be via a plurality of the electrically-conductive particles.

Abstract: Disclosed are an automatic welding system and method for large structural parts based on hybrid robots and 3D vision. The system comprises a hybrid robot system composed of a mobile robot and an MDOF robot, a 3D vision system, and a welding system used for welding. The rough positioning technique based on a mobile platform and the accurate recognition and positioning technique based on high-accuracy 3D vision are combined, so the working range of the MDOF robot in the XYZ directions is expanded, and flexible welding of large structural parts is realized. The invention adopts 3D vision, thus having better error tolerance and lower requirements for the machining accuracy of workpieces, positioning accuracy of mobile robots and placement accuracy of the workpieces; and the cost is reduced, the flexibility is improved, the working range is expanded, labor is saved, production efficiency is improved, and welding quality is improved.

Abstract: The present disclosure discloses an entity recognition model training method and an entity recognition method as well as an apparatus using them. The entity recognition model training method includes: obtaining a training text and matching the training text with a database to obtain a plurality of matching results; processing the matching results to obtain a plurality of feature vectors corresponding to the matching results; obtaining a word vector of each word in the training text by processing the training text; and training an initial entity recognition model based on the feature vector and the word vector to obtain an entity recognition model. By using this training manner, the entity recognition model obtained can have an improved accuracy of entity recognition.