Abstract: A method for image display in a display apparatus is provided. The method includes displaying an image in a respective subpixel in an image display phase. In a sensing phase subsequent to the image display phase, the method further includes providing an initial voltage signal to an anode of a respective light emitting element in the respective subpixel for a first period of time; allowing the anode of a respective light emitting element to discharge for a second period of time, upon discontinuation of the initial voltage signal; obtaining a residual voltage signal at the anode of the respective light emitting element at an end of the second period of time by a sensing sub-circuit of a respective pixel driving circuit; and transmitting the residual voltage signal to an integrated circuit.

Abstract: The invention provides a method for preparing pyrrolidone, and the invention provides a method for catalytically preparing pyrrolidone with ?-aminobutyric acid in the presence of carnitine-CoA ligase CaiC. The carnitine-CoA ligase CaiC has an amino acid sequence as shown in SEQ ID NO:1. The ligase has catalytic activity in the cyclization of ?-aminobutyric acid to produce pyrrolidone. The carnitine-CoA ligase provided in the present invention affords a yield of pyrrolidone of 3.26 g/L and a molar yield of 39.53% in 24 h when ?-aminobutyric acid is used as a substrate, thus reducing the production period, improving the production of pyrrolidone, and accelerating the industrialization process of producing pyrrolidone by enzymatic conversion method.

Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: An automatic transport device for cleaning machines includes a transport base. A lifting-lowering assembly and a tray are provided on the transport base. The tray is connected to the transport base through the lifting-lowering assembly, and can be driven by the lifting-lowering assembly to reciprocate in a height direction. A top surface of the tray is provided with a translation assembly for transferring the shelf to the transport platform. A first mounting cavity is provided at each of front and rear ends of the tray. The translation assembly is connected to a side wall of the first mounting cavity. A second mounting cavity is provided at each of right and left ends of the tray. The second mounting cavity is provided with a limiting assembly, a lifting-lowering sensing assembly and a distance sensing assembly. An interactive system is provided in the transport base.

Abstract: A fan-out semiconductor device includes stacked semiconductor dies having die bond pads arranged in columns exposed at a sidewall of the stacked semiconductor dies. The stacked dies are encapsulated in a photo imageable dielectric (PID) material, which is developed to form through-hole cavities that expose the columns of bond pads of each die at the sidewall. The through-hole cavities are plated or filled with an electrical conductor to form conductive through-holes coupling die bond pads within the columns to each other.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: An automatic transport device for cleaning machines includes a transport base. A lifting-lowering assembly and a tray are provided on the transport base. The tray is connected to the transport base through the lifting-lowering assembly, and can be driven by the lifting-lowering assembly to reciprocate in a height direction. A top surface of the tray is provided with a translation assembly for transferring the shelf to the transport platform. A first mounting cavity is provided at each of front and rear ends of the tray. The translation assembly is connected to a side wall of the first mounting cavity. A second mounting cavity is provided at each of right and left ends of the tray. The second mounting cavity is provided with a limiting assembly, a lifting-lowering sensing assembly and a distance sensing assembly. An interactive system is provided in the transport base.

Abstract: A surface mount device having features on contacts to prevent the surface mount device from tombstoning. The feature may be channel defined by the contact that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process. The feature may also be a solder mask that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process.

Abstract: Disclosed is a display substrate, including: a base including a display region and a peripheral region; sub-pixels in the display region; data lines in at least the display region and extending in a first direction and electrically connected to the sub-pixels; gate lines in at least the display region and extending in a second direction intersecting with the first direction, and electrically connected to the sub-pixels; pads in the peripheral region; data leads in the peripheral region and electrically connected to the data lines and the pads; a gate driver circuit in the peripheral region and electrically connected to the gate lines; gate drive lines in the peripheral region and electrically connected to the gate driver circuit; gate leads in the peripheral region and extending in the first direction, which are electrically connected to the gate drive lines and the pads and located between the data leads.

Abstract: A connection structure includes a male connector, a female connector including a first clamping portion and a through hole for inserting the male connector, a marking member including a second clamping portion configured to be clamped with the first clamping portion, and a locking member installed on the female connector. The locking member is configured to move from a first position to a second position when an insertion depth of the male connector reaches a preset value, so as to lock the male connector and drive the second clamping portion to separate from the first clamping portion.

Abstract: Described herein is a method of processing an audio signal using a neural network or using a first and a second neural network. Described is further a method of training said neural network or of jointly training a set of said first and said second neural network. Moreover, described is a method of obtaining and transmitting a latent feature space representation of a perceptual domain audio signal using a neural network and a method of obtaining an audio signal from a latent feature space representation of a perceptual domain audio signal using a neural network. Described are also respective apparatuses and computer program products.

Abstract: A neural network system for predicting frequency coefficients of a media signal, the neural network system comprising a time predicting portion including at least one neural network trained to predict a first set of output variables representing a specific frequency band of a current time frame given coefficients of one or several previous time frames, and a frequency predicting portion including a at least one neural network trained to predict a second set of output variables representing a specific frequency band given coefficients of one or several frequency bands adjacent to the specific frequency band in said current time frame. Such a neural network system forms a predictor capable of capturing both temporal and frequency dependencies occurring in time-frequency tiles of a media signal.

Abstract: The present invention relates to a method for predicting transform coefficients representing frequency content of an adaptive block length media signal, by receiving a frame and receiving block length information indicating a number of quantized transform coefficients for each block in the frame, the number of quantized transform coefficients being one of a first or second number, wherein the first number is greater than the second number, determining a first block has the second number of quantized transform coefficients, converting the first block into a converted block having the first number of quantized transform coefficients, conditioning a main neural network trained to predict at least one output variable given at least one conditioning variable, the at least one conditioning variable being based on information regarding the converted block and block length information for the first block, providing at least one predicted transform coefficients from an output stage of the main neural network.

Abstract: Radio frequency amplifier (200) assembly with effective prevention of RF interference.

Abstract: Apparatus, systems, and articles of manufacture are disclosed teaching an apparatus comprising an extender including a body and a tab, the tab coupled to the memory device, a first surface of the tab to be aligned with a second surface of the memory device. Examples disclosed herein further include a bracket to extend across the second surface of the memory device and the first surface of the tab, the bracket coupled to the first surface of the tab via fasteners.

Abstract: Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

Abstract: A method for cracking crude oil includes delivering the crude oil to a first tube group of a convection section of a cracking furnace for preheating and then performing vaporization to obtain a first gas phase and a first liquid phase; performing high-pressure extraction on the first liquid phase to obtain a non-asphalt oil and an asphalt; and mixing the first gas phase and the non-asphalt oil with water vapor respectively, or mixing the first gas phase with the non-asphalt oil prior to mixing with water vapor, then delivering the same to a second tube group of the convection section of the cracking furnace for heating, followed by delivering same to a radiation section of the cracking furnace for cracking to obtain a cracked product, and separating the cracked product to obtain low-carbon olefins.

Abstract: Described herein is a method of waveform decoding, the method including the steps of: (a) receiving, by a waveform decoder, a bitstream including a finite bitrate representation of a source signal; (b) waveform decoding the finite bitrate representation of the source signal to obtain a waveform approximation of the source signal; (c) providing the waveform approximation of the source signal to a generative model that implements a probability density function, to obtain a probability distribution for a reconstructed signal of the source signal; and (d) generating the reconstructed signal of the source signal based on the probability distribution. Described are further a method and system for waveform coding and a method of training a generative model.

Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

Abstract: A method and device for developing an automated digital cloning method to create an accurate, predictive and personalized virtual patient model enabling personalized precision mechanical ventilation care.