Abstract: Electronic paper includes a display panel and a drive component. The display panel may include a plurality of pixels disposed in a display region and a photoelectric conversion transistor disposed in a non-display region. The drive component is electrically connected to the plurality of pixels, and is electrically connected to a current output terminal of the photoelectric conversion transistor.

Abstract: A liquid-crystal display panel includes a first region and a second region, and a transmittance of the first region is greater than a transmittance of the second region; the liquid-crystal display panel includes a plurality of sub-pixels; the plurality of sub-pixels include a first-color sub-pixel and a second-color sub-pixel, a transmittance of the first-color sub-pixel is greater than a transmittance of the second-color sub-pixel, and an area of the first-color sub-pixel is greater than an area of the second-color sub-pixel; and the plurality of sub-pixels further include a first-region sub-pixel and a second-region sub-pixel that have a same color, the first-region sub-pixel is located within the first region, the second-region sub-pixel is located within the second region, and a thickness of a color-resistance layer of the first-region sub-pixel is less than or equal to a thickness of a color-resistance layer of the second-region sub-pixel.

Abstract: Provided are a method and an apparatus for predicting a demanded net energy for maintenance, and an electronic device. The method comprises: acquiring a heart rate data of a target pig (110); and on the basis of the heart rate data and a pre-trained net energy demand prediction model, acquiring a demanded net energy for maintenance of the target pig, wherein the net energy demand prediction model is a neural network model acquired by a productivity parameter-based training (120). According to the method, a prediction based on the heart rate data of a pig is effectively introduced in the prediction process of the demanded net energy for maintenance of the pig. Moreover, the overall prediction process is simplified and optimized, so as to conveniently and quickly predict the demanded net energy for maintenance of the pig in real-time with improved reproducibility and applicability.

Abstract: The present disclosure discloses an audio encoding and decoding method and an audio encoder and decoder. The audio encoding method includes: obtaining a current frame of an audio signal, where the current frame includes a high frequency band signal and a low frequency band signal; obtaining a first encoding parameter based on the high frequency band signal and the low frequency band signal; obtaining a second encoding parameter of the current frame based on the high frequency band signal, where the second encoding parameter includes tone component information; and performing bitstream multiplexing on the first encoding parameter and the second encoding parameter, to obtain an encoded bitstream.

Abstract: A Lactobacillus paracasei and uses thereof. The Lactobacillus paracasei has a deposit number of CGMCC No. 14813. The Lactobacillus paracasei can be used for increasing the amount of an organic acid in a raw material. The Lactobacillus paracasei can be used for fermenting the raw material, where the raw material can be selected from at least one of fruits, which can increase the content of the organic acid in a fermented product.

Abstract: Provided are a Time-Interleaved Successive Approximation Register Analog-to-Digital Converter, TISAR ADC, and a calibration method thereof. The calibration method for the TISAR ADC may include: sampling an analog signal input into the TISAR ADC to generate a reference digital signal (S130); according to the reference digital signal and output digital signals generated by analog-to-digital conversion sub-modules of the TISAR ADC, obtaining capacitor array calibration parameters and time delay calibration parameters of the analog-to-digital conversion sub-modules; adjusting capacitor arrays of the corresponding analog-to-digital conversion sub-modules according to the capacitor array calibration parameters, respectively; and adjusting time delays of the corresponding analog-to-digital conversion sub-modules according to the time delay calibration parameters, respectively.

Abstract: An encoder includes a signal detection circuit and a signal encoding circuit. The signal encoding circuit is configured to encode the Nth-frame downmixed signal when the signal detection circuit detects that an Nth-frame downmixed signal includes a speech signal, or when the signal detection circuit detects that the Nth-frame downmixed signal does not include a speech signal, encode the Nth-frame downmixed signal when the signal detection circuit determines that the Nth-frame downmixed signal satisfies a preset audio frame encoding condition, or skip encoding the Nth-frame downmixed signal when the signal detection circuit determines that the Nth-frame downmixed signal does not satisfy a preset audio frame encoding condition.

Abstract: The present disclosure provides a ceramic material for improving surface adhesion of dental zirconia, a restorative material and a preparation method and a adhesion method thereof. The ceramic material includes SiO2, B2O3, GeO2, Al2O3, Li2O, Nb2O5, Na2O, ZrO2, P2O5, and a rare earth oxide. In the present disclosure, the ceramic material includes GeO2.

Abstract: Methods and systems disclosed herein utilize an automated analytics framework to implement a perioperative complication risk algorithm that uses existing clinical data in electronic health records to forecast patient-level probabilistic risk scores for eight major postoperative complications. An example method includes accessing health record data for a patient, normalizing the accessed health record data to generate a health record data set for the patient, transforming one or more features from the health record data set, selecting one or more transformed features from the health record data set, calculating risk probabilities for one or more complication risk categories based on the health record data set and the selected one or more features, calculating mortality risk probabilities for one or more mortality risk categories based on the calculated risk probabilities, and generating a personalized risk panel based on the calculated risk probabilities and the calculated mortality risk probabilities.

Abstract: Embodiments of this application disclose an audio signal encoding and decoding method, including: obtaining, based on spectra of M blocks of a current frame of a to-be-encoded audio signal, M transient state identifiers of the M blocks, where the M blocks include a first block, and a transient state identifier of the first block indicates that the first block is a transient state block, or indicates that the first block is a non-transient state block; obtaining group information of the M blocks based on the M transient state identifiers of the M blocks; performing grouping and arranging on the spectra of the M blocks based on the group information of the M blocks, to obtain a to-be-encoded spectrum of the current frame; encoding the to-be-encoded spectrum by using an encoding neural network to obtain a spectrum encoding result; and writing the spectrum encoding result into a bitstream.

Abstract: In a multi-channel signal encoding method, a current frame includes a first sound channel and a second sound channel. First group information of M blocks of the first sound channel and second group information of M blocks of the second sound channel are obtained. When the first group information and the second group information meet a preset condition, first adjusted group information and second adjusted group information are obtained based on the first group information and the second group information. Then, a first to-be-encoded spectrum is obtained based on the first adjusted group information and the spectrums of the M blocks of the first sound channel. Similarly, a second to-be-encoded spectrum may be obtained. Finally, the first to-be-encoded spectrum and the second to-be-encoded spectrum are encoded by using an encoding neural network to obtain a spectrum encoding result. The spectrum encoding result may be carried by a bitstream.

Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.

Abstract: The present application relates to the field of cell immunity, and discloses an interacting protein screening platform for preparing a cell membrane. A cell membrane protein and a membrane protein encoding gene to be tested are respectively expressed in different cells; after staining, cells expressing different membrane proteins and cells expressing target proteins are co-incubated; and then interacting membrane proteins are obtained by screening, and specific sequences thereof are determined by sequencing. The screening platform provided in the present application can screen a variety of cell membrane proteins and membrane protein-based engineering cells, and has strong specificity, thereby greatly improving the efficiency of screening interacting proteins and reducing the difficulty, providing a simple and convenient tool for studying the mechanism of action of cell membrane proteins, and improving the screening throughput.

Abstract: An embodiment of an integrated circuit may comprise circuitry communicatively coupled to two or more sub-non-uniform memory access clusters (SNCs) to allocate a specified memory space in the two or more SNCs in accordance with a SNC memory allocation policy indicated from a request to initialize the specified memory space. An embodiment of an apparatus may comprise decode circuitry to decode a single instruction, the single instruction to include a field for an opcode, and execution circuitry to execute the decoded instruction according to the opcode to provide an indicated SNC memory allocation policy (e.g., a SNC policy hint). Other embodiments are disclosed and claimed.

Abstract: A pixel structure, an array substrate, a display panel and a display device. The pixel structure includes a gate line (10), a data line (20), a gate (30), a first electrode (40), a second electrode (50), and a third electrode (60); the gate (30) is connected to the gate line (10); the first electrode (40) is connected to the data line (20); and the second electrode (50) has a first portion and a second portion that are distributed in the extending direction of the second electrode, wherein the first portion of the second electrode (50) cooperates with the first electrode (40) and the gate (30) to form a first thin film transistor, and the second portion of the second electrode (50) cooperates with the third electrode (60) and the gate (30) to form a second thin film transistor.

Abstract: A machine-learning based VOC detection and identification method and an apparatus and system for implementing same.

Abstract: A method for encoding a three-dimensional audio signal is provided. The method includes: An encoder obtains a current frame of a three-dimensional audio signal; obtains coding efficiency of an initial virtual speaker for the current frame based on the current frame of the three-dimensional audio signal; and when the coding efficiency of the initial virtual speaker for the current frame meets a preset condition, determines an updated virtual speaker for the current frame from a set of candidate virtual speakers; encodes the current frame based on the updated virtual speaker for the current frame, to obtain a first bitstream; or when the coding efficiency of the initial virtual speaker for the current frame does not meet the preset condition, encodes the current frame based on the initial virtual speaker for the current frame, to obtain a second bitstream.

Abstract: This article discloses an interaction method and apparatus, and electronic device and medium. The interaction method comprises: displaying an interaction interface after a user selects an interactive object via a selection interface and the interactive object receives an interaction invitation, wherein the interaction interface is configured to display pictures taken by the user and the interactive object in real time, the interaction interface comprises an interaction control for the user and the interactive object to interact while capturing in real time, the selection interface and the interaction interface are video capturing related interfaces, the video capturing related interfaces are related to capturing of an interactive video, and the interactive video is a video which is taken while the user and the interactive object interacts based on the interaction interface; obtaining a setting operation for the interaction control; and responding to the setting operation within the interaction interface.

Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.

Abstract: According to the embodiments of the present disclosure, a method for conversion evaluation comprises: extracting a resource feature from resource-related data of a target resource; extracting an audience feature of the target audience group from audience-related data of a target audience group of the target resource, the target audience group being to be distributed with a recommended content item related to the target resource; and determining, based on the resource feature and the audience feature, a target predicted conversion rate for the target resource through a predetermined association between resource features, audience features and predicted conversion rates, the target predicted conversion rate indicating a predicted probability of the target audience group performing a conversion for the target resource. According to the scheme, the accuracy of the conversion rate evaluation may be improved, thereby improving distribution effect of the recommended content item for a resource.