Abstract: This application discloses a call display method and apparatus, a device, and a storage medium, which fall within the field of instant messaging. The method includes displaying an outgoing call-interface, the outgoing call-interface being prior to a call connection between the first terminal and a second terminal; and displaying recent information in the outgoing call-interface, the recent information being social network information recently posted by a second user account corresponding to the second terminal.

Abstract: A battery explosion-proof valve, a battery plug-in box and an electric apparatus are provided. The battery explosion-proof valve includes a fire-fighting medium pipeline, a housing and a piercing assembly. The fire-fighting medium pipeline has a medium outlet and a protective film connected to the medium outlet to block a fire-fighting medium in the fire-fighting medium pipeline. The housing has a cavity, a first opening and a second opening. The first opening and the second opening are communicated with the cavity. The fire-fighting medium pipeline is fitted in the first opening. The cavity is configured to be communicated with an inner cavity of a battery plug-in box through the second opening. The piercing assembly is arranged in the cavity and is movable relative to the fire-fighting medium pipeline to pierce the protective film.

Abstract: The present disclosure discloses an immersion valve assembly and an immersion-type secondary battery device with the same. The immersion valve assembly includes a fire-fighting liquid storage chamber including a fire-fighting liquid outlet facing a battery cell module; and an immersion valve. An opening/closing cooperation relationship is formed between the fire-fighting liquid outlet and the immersion valve, and the immersion valve is configured to move under the action of a gas pressure and open the fire-fighting liquid outlet when thermal runaway occurs to the battery cell module. The immersion-type secondary battery device includes a box cover, a box body, a battery core module and an immersion valve assembly that is arranged inside the box cover.

Abstract: The present disclosure relates to the technical field of piezoelectric ceramics polarization, and particularly relates to a high-temperature polarization method for strip-shaped or rod-shaped piezoelectric ceramics. The piezoelectric ceramics are heated to a temperature above a Curie temperature point in a closed polarization environment, and an electric domain turning resistance of the piezoelectric ceramics is reduced to a preset value. Voltages are applied to two ends of the piezoelectric ceramics, and an electric domain orientation of the piezoelectric ceramics are converted, through a temperature reduction and pressure increase method, to be consistent with a direction in which an electric field is applied. The piezoelectric ceramics are cooled to a room temperature, and polarization is completed. According to the method, voltages applied to two ends of a piezoelectric fiber can be reduced by reducing internal resistance of the piezoelectric fiber.

Abstract: The present disclosure provides a method and a device for channel information feedback, where the method includes: obtaining, by a beamformer, channel feedback information, where the channel feedback information includes: channel information related to the beamformer and channel information related to other beamformer; the channel information includes: channel information fed back by a beamformee in a same basic service set and channel information fed back by a beamformee in a different basic service set. Channel feedback of multiple sending ends is achieved in the present disclosure.

Abstract: The present application discloses example encoding methods and apparatuses, and decoding methods and apparatuses, and relate to the field of media technologies. One example method includes obtaining a bitstream, and obtaining a plurality of data packets based on the bitstream. Based on identifiers of the plurality of data packets, the plurality of data packets is sent to a plurality of entropy decoders for decoding, to obtain a plurality of syntax elements. Media content is restored based on the plurality of syntax elements.

Abstract: An artificial intelligence (AI) and robot based automated material synthesis system including an AI model and a robotic system coupled to the AI model for material synthesis is provided. The AI and robot based automated material synthesis system of the present invention is 100% automated, thereby minimizing human intervention during the material synthesis experiments not only minimizing risks of accident and costs due to the labor-intensive nature of manual experimentation, but it also significantly increases the accuracy in the target material structure synthesized, and the synthesis could also be conducted in a highly reproducible manner with a much higher efficiency.

Abstract: Disclosed are devices, systems, apparatus, methods, products, and other implementations, including a method comprising obtaining, by a device, a combined sound signal for signals combined from multiple sound sources in an area in which a person is located, and applying, by the device, speech-separation processing (e.g., deep attractor network (DAN) processing, online DAN processing, LSTM-TasNet processing, Conv-TasNet processing), to the combined sound signal from the multiple sound sources to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources. The method further includes obtaining, by the device, neural signals for the person, the neural signals being indicative of one or more of the multiple sound sources the person is attentive to, and selecting one of the plurality of separated signals based on the obtained neural signals. The selected signal may then be processed (amplified, attenuated).

Abstract: A structure is provided including a substrate and a tungsten-containing layer. The tungsten-containing layer includes a nucleation layer disposed on the substrate and a bulk layer is disposed over the nucleation layer. The nucleation layer includes tungsten and the bulk layer includes about 0.1% to about 20% atomic molybdenum. The tungsten-containing layer includes a film stress of about 350 MPa to about 450 MPa.

Abstract: A method may include obtaining seismic data based on a seismic survey regarding a geological region of interest. The method may further include obtaining grid data based on the geological region of interest. The method may further includes determining various travel times using the seismic data, the grid data, an Eikonal function, and a velocity model for the geological region of interest. The method may further include determining various attenuated travel times using the travel times, the grid data, and a forward modeling function that includes various gradient components. The method may further include determining various updated attenuated travel times using the attenuated travel times, the grid data, the forward modeling function, and a fast sweeping method. The method may further include generating an attenuation model of the geological region of interest using the updated attenuated travel times.

Abstract: The present disclosure relates to the technical field of pest capturing in protection of tea trees, in particular to a pest trap for tea planting. The pest trap includes a trap framework and a light-emitting diode (LED) lamp; an upper end of the trap framework is provided with a support which is used for clamping the LED lamp; a board for trapping pests coated with sex pheromone on a surface is arranged inside the trap framework; a heating source is arranged on one side of the board for trapping pests and is used for making the sex pheromone to be volatilized faster and farther; a mesh enclosure used for trapping pests is arranged on an outer side of the trap framework; and a small circular hole is formed in a bottom of the mesh enclosure.

Abstract: A method and apparatus of locating subsurface geohazards in a geographical area that includes: receiving a plurality of seismic trace signals in the geographical area based on a shot gather from a seismic shot source; isolating and stacking the plurality of seismic trace signals to generate a windowed trace signal associated with refraction traces from the seismic shot source; transforming the windowed trace signal to a frequency domain; calculating a low frequency to high frequency ratio for the transformed trace signal; outputting the calculated ratio to a two-dimensional array representing the geographical area at a source location and at a mean receiver location; repeating the steps for a plurality of other shot gathers in the geographical area; and multiplying each source location ratio with one or more mean receiver location ratios on the two-dimensional array to generate a final frequency ratio map.

Abstract: A method of determining a presence of hydrocarbons is disclosed. The method includes obtaining a surface seismic dataset, composed of a plurality of seismic gathers, determining a redatumed gather for a target horizon based on the seismic gather, determining a time window of the redatumed gather around the target horizon, and determining a spectrum of a portion within the time window. The method further includes determining a hydrocarbon indicator based, at least in part, on an amplitude of a higher-frequency portion and lower-frequency portion of the spectrum of the plurality of seismic gathers, determining a geographic map of values of the hydrocarbon indicator from the plurality of seismic gathers, and determining a presence of hydrocarbons based, at least in part, on at least one anomalous value on the geographic map. A system including a seismic acquisition system and a seismic processor for executing the method is disclosed.

Abstract: A method and an apparatus for extracting a feature representation, a device, a medium, and a program product are provided and relate to the field of voice analysis technologies. The method includes: obtaining sample audio; extracting a sample time-frequency feature representation corresponding to the sample audio; performing frequency band segmentation on the sample time-frequency feature representation from a frequency domain dimension, to obtain time-frequency sub-feature representations respectively corresponding to at least two frequency bands; and performing inter-frequency band relationship analysis on the time-frequency sub-feature representations respectively corresponding to the at least two frequency bands from the frequency domain dimension, and obtaining an application time-frequency feature representation based on an inter-frequency band relationship analysis result.

Abstract: A hot melt adhesive composition comprises at least one styrene block copolymer, at least one acid modified rubber, and a tackifying resin comprising at least one acid tackifying resin. The hot melt adhesive composition can be used to bond substrates. The invention further relates to an article comprising the hot melt adhesive composition, to the use of a combination of an acid modified rubber and an acid tackifying resin for improving the aged wet adhesiveness of a hot melt adhesive composition, and to the use of a non-acid tackifying resin having a softening point of at least 110° C. for improving the initial adhesiveness of a hot melt adhesive composition comprising a combination of an acid modified rubber and an acid tackifying resin.

Abstract: An all-optical Diffractive Deep Neural Network (D2NN) architecture learns to implement various functions or tasks after deep learning-based design of the passive diffractive or reflective substrate layers that work collectively to perform the desired function or task. This architecture was successfully confirmed experimentally by creating 3D-printed D2NNs that learned to implement handwritten classifications and lens function at the terahertz spectrum. This all-optical deep learning framework can perform, at the speed of light, various complex functions and tasks that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that can learn to perform unique tasks using D2NNs. In alternative embodiments, the all-optical D2NN is used as a front-end in conjunction with a trained, digital neural network back-end.

Abstract: A computer-free system and method is disclosed that uses an all-optical image reconstruction method to see through random diffusers at the speed of light. Using deep learning, a set of transmissive layers are trained to all-optically reconstruct images of arbitrary objects that are distorted by random phase diffusers. After the training stage, the resulting diffractive layers are fabricated and form a diffractive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown, new phase diffuser. Unlike digital methods, all-optical diffractive reconstructions do not require power except for the illumination light. This diffractive solution to see through diffusive and/or scattering media can be extended to other wavelengths, and can fuel various applications in biomedical imaging, astronomy, atmospheric sciences, oceanography, security, robotics, autonomous vehicles, among many others.

Abstract: A trusted anonymous voting method includes: performing a hash operation on original voting content to obtain a hash output including a commitment value cvi; blinding the commitment value cvi based on information of other voters to obtain commitment value tuples {tilde over (c)} and {tilde over (x)}; signing the commitment value tuple {tilde over (c)} by using an ESDSA to obtain a signature tuple {tilde over (s)}; and establishing a vote tuple ({tilde over (c)}, {tilde over (s)}, {tilde over (d)}) based on the commitment value tuple {tilde over (c)}, the signature tuple {tilde over (s)} and a signature tuple {acute over (d)} of other voters, and uploading the vote tuple (?, ?, {acute over (d)}) and the commitment value tuple {tilde over (x)} to the blockchain, where signature tuple {tilde over (d)} is generated in a case that other voters verify the signature tuple {tilde over (s)} and the signature tuple {tilde over (s)} passes the verification, and the commitment value tuple {tilde over (x)} is used to decry

Abstract: Methods and systems are disclosed for automatically integrating subsurface structural maps with strike and dip information measured in subsurface wells. The method includes obtaining a seismic image volume for a subsurface region of interest and a well log for each of a plurality of wellbores penetrating the subsurface region of interest. Further, the method includes determining a seismic map of a geological surface from the seismic image volume, wherein the seismic map comprises an estimated depth and an estimated vector normal to the seismic map at a plurality of horizontal locations and determining an intersection point for each of the plurality of wellbores with the geological surface. Additionally, the method includes forming a cost function based, at least in part, on the seismic map and the intersection points of the plurality of wellbores and constructing a subsurface map by solving a constrained optimization problem based on the cost function.