Abstract: Disclosed are compositions, such as makeup removing compositions, that can form a film on a keratin material, such as skin that lifts and removes makeup from the keratin material, such as skin. The compositions may be an aqueous composition including: (a) a hydrophobically modified acrylate film forming homopolymer or copolymer; (b) a hydrophilic film forming polymer; (c) a volatile oil; (d) a nonionic surfactant; (e) optionally, a monoalcohol having from 2 to 5 carbon atoms; and (f) water. Alternatively, the compositions may be anhydrous compositions including: (a) a hydrophobically modified acrylate film forming homopolymer or copolymer; (b) a plasticizer; and (c) a volatile oil. Also disclosed are methods for cleansing and removing makeup from keratin material, such as skin.

Abstract: An image processing method, an electronic device, and a readable storage medium are provided. The method includes: obtaining an original image; denoising the original image using an image filtering algorithm to form a preprocessed image S; performing contrast enhancement in the preprocessed image S to form a contrast-enhanced image J; adjusting saturation of the contrast-enhanced image J to form an enhanced display image M; sharpening the enhanced display image M to form a sharpened image N; and performing dynamic range enhancement on the sharpened image N using a dynamic range image enhancement algorithm to form an output image. The image processing method, electronic device, and readable storage medium enable multi-level processing on the original image and improve the display accuracy of the output image.

Abstract: Disclosed are a display substrate and a preparation method therefor, and a display apparatus. The display substrate includes a display region and a bonding region, wherein the display region includes M pixel rows arranged sequentially, at least one pixel row includes a scan signal line and a plurality of sub-pixels arranged sequentially along an extension direction of the scan signal line, at least one sub-pixel includes a pixel drive circuit connected with the scan signal line, the pixel drive circuit at least includes a storage capacitor and a first transistor as a first initialization transistor, and the scan signal line at least includes a second scan signal line that controls the first transistor to be turned on or off, and in the at least one pixel row, the second scan signal line is arranged on a side of the storage capacitor close to a display region boundary.

Abstract: A data deduplication method includes: acquiring a live streaming data stream to be processed, wherein the data stream includes at least one audio/video packet; and executing following operations on one audio/video packet, each audio/video packet carrying an identifier, and the identifier being determined according to the order of the audio/video packet in the live streaming data stream; determining, according to the identifier of the audio/video packet, whether the audio/video packet is a repeatedly acquired audio/video packet, and if so, discarding the audio/video packet. Accordingly, it is ensured that no unduplicated data is sent to a user, and the problem that in a live streaming process, due to the fact that an intermediate link is reconnected, a user acquired part of duplicated data, and the audio/video rollback phenomenon caused by the duplicated data being played is solved.

Abstract: There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

Abstract: The present invention relates to novel compounds of Formulae I-XI: wherein each A, A?, Q, Q?, W, Rw, Y, and Z, and -- are as defined herein, which inhibit NOD-like receptor protein 3 (NLRP3) inflammasome activity. The invention further relates to the processes for their preparation, pharmaceutical compositions and medicaments containing them, and their use in the treatment of diseases and disorders mediated by NLRP3.

Abstract: Disclosed are a composition containing 7-ethyl-10-hydroxycamptothecin, and a preparation method therefor and the use thereof. The composition contains SN-38, a lipid, albumin and Span 20.

Abstract: A display panel includes a pixel circuit and a light-emitting element. The pixel circuit includes an amplitude modulation subcircuit and a pulse width modulation subcircuit, and the amplitude modulation subcircuit and the pulse width modulation subcircuit each includes a drive transistor. A working process of at least one of the amplitude modulation subcircuit or the pulse width modulation subcircuit includes a bias stage. A bias adjustment signal is provided to the drive transistor during the bias stage, and the bias adjustment signal is configured to adjust the bias state of the drive transistor.

Abstract: A control method and a control system for a capsule endoscope are provided. The control method comprises acquiring a frame rate of the capsule endoscope. The frame rate is the number of frames of images captured by the capsule endoscope per unit time. The control method further comprises controlling the number of radio frequency transmission channels that are turned on according to the frame rate. The number of radio frequency transmission channels that are turned on is at least two, and the radio frequency transmission channels transmit the captured images. The control method and control system for the capsule endoscope can adaptively distribute a plurality of radio frequency transmission channels according to the real-time position of the capsule endoscope, and further turn on the radio frequency transmission channels to transmit a plurality of signals synchronously or asynchronously.

Abstract: The technology described herein provides Automated Driving System (ADS) methods and systems for coordinating and/or fusing intelligence and functions between Connected Automated Vehicles (CAV) and ADS infrastructure to provide target levels of automated driving. The technology provides systems and methods for function allocation comprising sensing allocation, prediction and decision-making allocation, and control allocation. The ADS operates across various intelligence levels, identified during vehicle operation. The function allocation system dynamically allocates essential functions based on the intelligence levels of both vehicles and infrastructures, ensuring that ADS achieves a system intelligence that surpasses that of individual components. This methodical function distribution enables ADS to manage both vehicles and infrastructures in a manner that enhances vehicular operations and control.

Abstract: Provided is a monitoring device for the settlement of a transmission tower. The monitoring device includes a laser ranging sensor, an acceleration sensor, a central processing module, a battery, and a fixing plate. The laser ranging sensor is configured to measure the distance between the installation position of the monitoring device and the ground. The acceleration sensor is configured to measure the inclination angle of a tower leg. The central processing module is configured to process measurement data of the laser ranging sensor and the acceleration sensor. The battery is configured to supply power to the laser ranging sensor, the acceleration sensor, and the central processing module. The fixing plate is configured to fix the monitoring device to the tower leg of the transmission tower. A method for monitoring a settlement of a transmission tower is further provided.

Abstract: The invention relates to three-part makeup remover compositions comprising (a) a water part; (b) an oil part; and (c) a silicone-in-water emulsion part.

Abstract: Embodiments of the disclosure provides a method, apparatus, electronic device and storage medium for video bitrate switching. The method includes: in response to a determination that a condition for video bitrate switching is satisfied, determining a target video bitrate to be switched to; determining, based on a playback time of a delivered audio and video frame, target switching data for switching to a target video stream corresponding to the target video bitrate; and in response to a determination that an audio and video frame to be delivered is consistent with the target switching data, delivering audio and video frames in the target video stream to a client in sequence.

Abstract: The present disclosure describes techniques for determining performance of a classifier. A first machine learning model and a second machine learning model may be trained by aggregating updates to the first machine learning model and the second machine learning model received from a plurality of client computing devices. A cumulative distribution function (CDF) associated with a distribution of the positive samples in the user data may be estimated using the trained first machine learning model. A probability density function (PDF) associated with a distribution of the negative samples in the user data may be estimated using the trained second machine learning model. An integration-based computation of an area under the receiver operating characteristic curve (AUC) of the classifier may be performed using the PDF and the CDF.

Abstract: There are provided solutions for multiagent debate. In a method, a first and a second response representation are determined by a first and a second agent in a plurality of agents based on a first query representation for a query in a natural language, respectively, and the first and second response representations are convertible to a first and a second answer to the query in the natural language, respectively. A second query representation is obtained based on the first query representation, and at least one of the first and second response representations. A response representation is determined based on the second query representation by at least one of the first and second agents, and the response representation is convertible to an answer to the query in the natural language. These agents communicate in an embedding space without a conversion between a natural language format and an embedding format.

Abstract: Disclosed is a method for implementing an adaptive stochastic spiking neuron based on a ferroelectric field effect transistor, relating to the technical field of spiking neurons in neuromorphic computing. Hardware in the method includes a ferroelectric field effect transistor (fefet), an n-type mosfet, and an l-fefet formed by enhancing a polarization degradation characteristic of a ferroelectric material for the ferroelectric field-effect transistor, wherein a series structure of the fefet and the n-type mosfet adaptively modulates a voltage pulse signal transmitted from a synapse. The l-fefet has a gate terminal connected to a source terminal of the fefet to receive the modulated pulse signal, and simulates integration, leakage, and stochastic spike firing characteristics of a biological neuron, thereby implementing an advanced function of adaptive stochastic spike firing of the neuron.

Abstract: Provided is a nucleic acid construct, including the following elements: a transposon 3? terminal repeat, first poly A sequence, an insulator sequence having a transcription termination function, a transposon 5? terminal repeat, a transposase coding sequence, and a promoter that controls the expression of the transposase. Also provided are a host cell or pharmaceutical composition including said nucleic acid construct, and a use thereof.

Abstract: An emote management system receives a request to make an emote available for users of an application for inclusion in a real-time content stream provided by the application, wherein the emote includes a proposed content pair comprising an image and a text string. The emote management system determines, based on application of a machine learning model to the content pair, whether the proposed content pair satisfies a content pair acceptability threshold. Based a determination that the proposed content pair satisfies the content pair acceptability threshold, return a response to the client indicating that the proposed content pair is an accepted content pair.

Abstract: Disclosed is a method for implementing an adaptive stochastic spiking neuron based on a ferroelectric field effect transistor, relating to the technical field of spiking neurons in neuromorphic computing. Hardware in the method includes a ferroelectric field effect transistor (fefet), an n-type mosfet, and an I-fefet formed by enhancing a polarization degradation characteristic of a ferroelectric material for the ferroelectric field-effect transistor, wherein a series structure of the fefet and the n-type mosfet adaptively modulates a voltage pulse signal transmitted from a synapse. The I-fefet has a gate terminal connected to a source terminal of the fefet to receive the modulated pulse signal, and simulates integration, leakage, and stochastic spike firing characteristics of a biological neuron, thereby implementing an advanced function of adaptive stochastic spike firing of the neuron.

Abstract: Embodiments of the present disclosure relate to machine learning with periodic data. According to embodiments of the present disclosure, a feature representation of an input data sample is obtained from a prediction model. First Fourier coefficients for a first component in a Fourier expansion are determined by applying the feature representation into a first mapping model, and second Fourier coefficients for a second component in the Fourier expansion are determined by applying the feature representation into a second mapping model. A Fourier expansion result is determined based on the first Fourier coefficients and the second Fourier coefficients in the Fourier expansion, and a prediction result for the input data sample is determined based on the Fourier expansion result.