Abstract: A method and system or kit is provided, where makeup containing an alkane and a styrenic block copolymer can be easily removed if a separate makeup-removing composition that includes an alkane and a low viscosity dimethicone (having a viscosity of 60,000 cst or less) is applied. The dimethicone in this viscosity range causes the styrenic block copolymer to gel. After allowing a short period of time for the gelling to occur, the gelled copolymer and the remainder of the makeup can then be readily removed.

Abstract: Provided are a cooking device, a control method and apparatus thereof, and a computer-readable storage medium. The cooking device includes a microwave module, a hot air module, a heating tube module, and a fan module. The method includes: obtaining a characteristic parameter of a food material and a cooking stage of the cooking device; determining a cooking parameter of the cooking device according to the characteristic parameter of the food material; and controlling at least one of the microwave module, the hot air module, the heating tube module, and the fan module according to the cooking parameter and the cooking stage.

Abstract: Provided are a cooking device, a control method and apparatus thereof, and a computer-readable storage medium. The cooking device includes an air frying module and a microwave module. The method includes: obtaining a characteristic parameter of a food material and a cooking stage of the cooking device; determining a cooking parameter of the cooking device based on the characteristic parameter of the food material; and controlling the air frying module or the microwave module based on the cooking stage and the cooking parameter to accelerate cooking of the food material.

Abstract: A nucleic acid testing device includes a microfluidic cartridge, an analyzer and a processing unit for controlling the analyzer. The microfluidic cartridge includes a binding chamber, a washing chamber and a reaction chamber. The analyzer includes a mechanical module including an electromagnetic coil array and a permanent magnet. The electromagnetic coil array is programmed to generate a programmable pulsed electromagnetic field to actuate the permanent magnet that further controls a paramagnetic bead (PMB) assay in the cartridge to move among the adjacent chambers.

Abstract: The present disclosure discloses a method for recycling a residue from MXene preparation, including the following steps: recovering a bottom residual sediment produced in preparation of MXene through etching in a minimally intensive layer delamination (MILD) method, mixing the bottom residual sediment with a molten polyvinyl alcohol (PVA) solution, and drying to prepare a Ti3C2Tx-Ti3AlC2/PVA composite film. The present disclosure can effectively utilize a residue from an MXene process to prepare a composite film with both excellent mechanical properties and electrical conductivity. The composite film has extremely-high sensitivity for stress-strain and prominent stability, and is suitable for flexible connection and sensing of biosensors, robots, or the like. The present disclosure has significant economic and environmental benefits, and is suitable for promotion and application.

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: 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: 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: 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: 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: 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.

Abstract: Cosmetic compositions including about 0.1 to about 3 wt. % of a cationic surfactant grafted halloysite compound; about 0.5 to about 10 wt. % of a nonionic surfactant, a cationic surfactant, or a mixture thereof; and water, wherein all weight percentages are based on the total weight of the cosmetic composition. Methods of making and using the cosmetic compositions are also disclosed.

Abstract: A cosmetic composition for make-up removal that provides aesthetically pleasing gliding application and is smudge resistant, the composition being provided in the form of a water-based micellar make-up removal composition that includes a blend of surfactants that includes one surfactant that has an HLB that is in the range from about 8 to about 16 and at least one surfactant that has an HLB that is greater than 16, and one or more powdered polysaccharides provided as essentially water-insoluble particles. In some embodiments the surfactant with an HLB greater than 16 is amphoteric. The composition can also include one or more of each or a combination of inorganic mineral powders, humectants, silicone-based defoaming agents, preservatives, and other cosmetically acceptable additives.

Abstract: Split learning is provided to train a composite neural network (CNN) model that is split into first and second submodels, including receiving a noise-laden backpropagation gradient, training the surrogate submodel by optimizing a gradient distance loss, and computing an updated dummy label using the first submodel and the trained surrogate submodel to infer label information of the second submodel. Noise can be added to a label of the second submodel or a shared backpropagation gradient to protect the label information.