Abstract: A manufacturing method of a large-outer-diameter quartz crucible for a Czochralski (CZ) single crystal is provided. The manufacturing method is a vacuum arc method, and specifically includes: releasing a high-temperature arc with an electrode bundle composed of 2N+1 electrodes to fuse a crucible blank, and performing rapid cooling to form an initial quartz crucible product, where N is an integer greater than or equal to 2; the 2N+1 electrodes include one central main electrode and 2N auxiliary electrodes; the 2N auxiliary electrodes are equidistantly distributed on a circumference with the central main electrode as a center; the central main electrode is aligned at an axis of the crucible mold; the 2N auxiliary electrodes are connected to two phases of an industrial three-phase power, and the two phases are alternately arranged on the auxiliary electrodes; the central main electrode is connected to a remaining phase of the industrial three-phase power.

Abstract: A manufacturing method of a large-outer-diameter quartz crucible for a Czochralski (CZ) single crystal is provided. The manufacturing method is a vacuum arc method, and specifically includes: releasing a high-temperature arc with an electrode bundle composed of 2N+1 electrodes to fuse a crucible blank, and performing rapid cooling to form an initial quartz crucible product, where N is an integer greater than or equal to 2; the 2N+1 electrodes include one central main electrode and 2N auxiliary electrodes; the 2N auxiliary electrodes are equidistantly distributed on a circumference with the central main electrode as a center; the central main electrode is aligned at an axis of the crucible mold; the 2N auxiliary electrodes are connected to two phases of an industrial three-phase power, and the two phases are alternately arranged on the auxiliary electrodes; the central main electrode is connected to a remaining phase of the industrial three-phase power.

Abstract: A manufacturing method for high-quality quartz crucible uses a vacuum arc method to melt, the positioning of the graphite electrode and dwell time at each position meet following requirements in which: taking a position of an upper end surface of a mold opening as a zero point, an end of the graphite electrode is marked as + when above the zero point, marked as ? when below the zero point; a starting position of the graphite electrode is +0.10˜0.30 times an outer diameter of the crucible, dwell time ?2 minutes, then the position is descended sequentially in accordance with a stepwise positioning method, staying for a period of time every time descending to a position, the graphite electrode continuously releases a high-temperature arc to melt crucible blank during a corresponding period of time at a corresponding position, and reaches a bottom polishing position after moving at least 3 times.

Abstract: Provided in embodiments of the disclosure are a driving method for a display panel, and a display apparatus. A display frame includes a data refresh phase and a blanking time phase. The driving method for the display panel includes: in the data refresh phase, loading a clock signal including an active level and an inactive level to a gate driving circuit in a display panel to cause a gate line to load a gate-on signal, loading display data to a source driving circuit in the display panel to cause a data line to load a data voltage, and determining a current operating state of the display panel; and in the blanking time phase, loading a clock signal including an inactive level to the gate driving circuit in the display panel to cause the gate line to load a gate-off signal, and sending the current operating state of the display panel.

Abstract: Disclosed are a game control method, an electronic device and a computer-readable storage medium. In response to a first operation on an object control in a virtual scene, a virtual object corresponding to the object control is displayed in an object display area in a battle area of the virtual scene, and a skill control is displayed in a control display area where the object control is placed. In response to a second operation on the skill control, an apply range and an indicator of a first target skill corresponding to the skill control are displayed in the battle area, and the virtual object is controlled to apply the first target skill in accordance with the indicator.

Abstract: The present disclosure provides an anomaly detector. The anomaly detector comprises an input interface configured to accept input data, a first neural network having an autoencoder architecture including an encoder trained to encode the input data and a decoder trained to decode the encoded input data to reconstruct the input data, and a loss estimator configured to compare a plurality of parts of the input data with corresponding plurality of parts of the reconstructed input data to determine a sequence of losses for different components of a reconstruction error. The anomaly detector further comprises a second neural network trained in a supervised manner to classify the sequence of losses to detect an anomaly to produce a result of anomaly detection including one or a combination of a type of the anomaly and a severity of the anomaly, and an output interface to render the result of anomaly detection.

Abstract: A computer-implemented pre-processed time-delay autoencoder based anomaly detection method are provided for detecting anomalous states of machines arranged in a factory automation (FA) system or a manufacturing production line.

Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.

Abstract: There is disclosed a softening method for a high-strength Q & P steel hot-rolled coil, comprising: after heating a Q & P steel ingot, subjecting it to rough rolling, finish rolling, laminar cooling and coiling to obtain a hot-rolled coil; after unloading the coil, covering the coil on-line with an insulating enclosure and moving it into a steel coil warehouse along with a transport chain; after a specified period of insulating time, removing the coil from the insulating enclosure, and cooling it to room temperature in air, wherein the coiling is performed at a temperature of 400-600° C.; said covering on-line with an insulating enclosure means each hot-rolled coil is individually covered with an independent, closed insulating enclosure unit within 60 minutes after unloading; the insulating time of the steel coil in the insulating enclosure is ?60 minutes. The inventive method replaces the intermediate annealing step in the production process of cold-rolled Q & P steel.

Abstract: Use of an active ingredient in repairing heart tissue injury. Specifically, disclosed is an active ingredient capable of being used for repairing heart tissue injury and treating diseases related to lymphatic abnormalities, comprising: a TBX1 protein, a coding gene thereof, or an accelerator thereof, or a combination thereof. The TBX1 protein can promote the proliferation of heart lymphatic endothelium cells, play an immunoregulatory role, promote the establishment of an immunosuppressive microenvironment in the myocardium after heart tissue injury, inhibit autoimmune responses after the heart tissue injury, relieve concurrent inflammation of the heart tissue, and promote the repair and regeneration of the injured heart tissue.

Abstract: A semiconductor structure and a method for forming same. The structure includes: a base substrate; a gate structure, located on the base substrate; a drift region, located in the base substrate on one side of the gate structure; a body region, located in the base substrate on the other side of the gate structure; a drain region, located in the drift region on one side of the gate structure; a source region, located in the body region on the other side of the gate structure; and a floating field plate, located on the drift region between the gate structure and the drain region, where the floating field plate has notches arranged at intervals along a width direction of the gate structure, and the floating field plate also has notches arranged at intervals along a length direction of the gate structure.

Abstract: Disclosed is a system for assessing quality of a singing voice singing a song. The system comprises memory and at least one processor. The memory stores instructions that, when executed by the at least one processor, cause the at least one processor to receive a plurality of inputs comprising a first input and one or more further inputs, each input comprising a recording of a singing voice singing the song, to determine, for the first input, one or more relative measures of quality of the singing voice by comparing the first input to each further input; and to assess quality of the singing voice of the first input based on the one or more relative measures. Also disclosed is a method implemented on such a system.

Abstract: Technologies for suppressing effects of crosstalk in a quantum circuit of a quantum computing system are disclosed. A pair of target qubits on which to perform a quantum gate operation is selected. The quantum gate operation is performed. A rotation is induced on the target qubits such that crosstalk between any of the target qubits and any of the neighboring qubits in the quantum circuit is canceled out.

Abstract: Disclosed is a resonant filter, which includes a housing including an input hole and an output hole, an input resonator including an input resonant body and an input port extending from the input resonant body and out of the housing through the input hole, and an output resonator including an output resonant body and an output port extending from the output resonant body and out of the housing through the output hole. The input resonator and the output resonator are fixed in the housing. The input resonator body and the output resonator body, which are sheets with a metal surface or metal sheets, respectively include a resonant rod with an upright segment, an extension segment extending from the upright segment and one end of which away from the extension segment is connected to the housing, and a first branch extending from the extension segment away from the upright segment.

Abstract: For online audio/video conferencing applications deployed in an open office environment, using shared conference devices, it can be advantageous to define an acoustic fence. A non-participant audio received from outside the acoustic fence can be considered noise and filtered out before transmission of an audio signal to a far end recipient. Three suppression stages are used to filter the non-participant audio. The first suppression stage uses beamformers for suppression. The second suppression stage is mask-based, and the third suppression stage is reference-based. The three suppression stages filter out non-participant audio signals, having a wide range of frequencies.

Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.

Abstract: A system for fusion of Wi-Fi measurements from multiple frequency bands to monitor indoor and outdoor space is provided. The system includes a multi-band wireless network comprising a set of radio devices to provide coverage in an environment, wherein the set of radio devices are configured to establish wireless communication or sensing links over multi-band wireless channels, wherein the multi-band wireless channels use a first radio band at a millimeter wavelength and a second radio band at a centimeter wavelength. The system further includes a computing processor communicatively coupled to the set of radio devices and a data storage, wherein the data storage has data comprising a parameterized model, modules and executable programs.

Abstract: Provided are a coaxial filter and a communication radio frequency device. The communication radio frequency device includes the coaxial filter. The coaxial filter includes a housing having a resonant cavity, a cover plate, and a resonator. The cover plate corresponds to the resonant cavity and covers the housing. The resonator includes plurality of elastic pieces, a connection portion, and a body portion which are sequentially connected from one end to another end. The connection portion is connected to a bottom of the resonant cavity.

Abstract: The present disclosure provides a method and a system for training a neural network suitable for localization of a device within an environment based on signals received by the device. The method comprises training a bi-regressor neural network to identify locations from labeled data, wherein the bi-regressor neural network includes a feature extractor and a bi-regressor including two regressors; training parameters of the bi-regressor using the labeled data and unlabeled data, such that each of the two regressors identifies the same labeled locations while processing the labeled data and identifies different locations while processing the unlabeled data; and training parameters of the feature extractor using an adversarial discriminator to extract domain invariant features from the unlabeled data with statistical properties of the labeled data according to the adversarial discriminator such that each of the two regressors identifies the same locations while processing the domain invariant features.

Abstract: A cavity filter includes a housing, an input resonator and an output resonator. The input resonator includes a first sheet-like resonant body, an input end extending outward from one side of the first sheet-like resonance body and a first branch extending outward from the first sheet-like resonance body and/or the input end, and the input end extends out of the housing through the input through hole. The output resonator includes a second sheet-like resonant body, an output end extending outward from one side of the second sheet-like resonance body, and a second branch extending outward from the second sheet-like resonance body and/or the output end, and the output end extends out of the housing through the output through hole. The lengths of the first branch and the second branch are both a quarter wavelength of a resonant frequency of the cavity filter.