Abstract: An acquisition system is configured to acquire seismic data representing a subsurface formation during a fracking process. The system includes at least one acoustic sensor that is configured to obtain vibration data representing vibrations relating to three orthogonal directions relative to the at least one acoustic sensor. The system is configured to receive the vibration data from the at least one acoustic sensor, identify one or more resonance frequencies represented in the vibration data, determine, based on the identified one or more resonance frequencies, a stage of a fracking process being performed, identify, based on the stage of the fracking process that is identified, a feature of one or more fractures in a borehole that is configured for the fracking process, and generate a seismic image of the subsurface formation based on the feature of the one or more fractures.

Abstract: A diffractive optical neural network device includes a plurality of diffractive substrate layers arranged in an optical path. The substrate layers are formed with physical features across surfaces thereof that collectively define a trained mapping function between an optical input and an optical output. A plurality of groups of optical sensors are configured to sense and detect the optical output, wherein each group of optical sensors has at least one optical sensor configured to capture a positive signal from the optical output and at least one optical sensor configured to capture a negative signal from the optical output. Circuitry and/or computer software receives signals or data from the optical sensors and identifies a group of optical sensors in which a normalized differential signal calculated from the positive and negative optical sensors within each group is the largest or the smallest of among all the groups.

Abstract: Methods and seismic shot generation and data collection systems configured to determine a monotonically increased velocity v*(z) from a monotonically increased velocity model by requiring the monotonically increased velocity v*(z) to be nearest to a refraction velocity v(z) determined for an estimated depth z and to be characterized by a positive slope such that the refraction velocity v(z) increases with depth, and to generate a subsurface image based on the estimated depth z and the determined monotonically increased velocity v*(z).

Abstract: Methods, systems, apparatus, and computer-readable media for deriving data elements from queries. In some implementations, a query is received, and one or more computers determine that the query involves an operation that satisfies one or more criteria. In response data is saved that indicates a derived data element corresponding to the operation. The one or more computers provide data causing a representation of the derived data element to be presented, such as data causing an interactive control representing the derived data element to be presented on a user interface.

Abstract: Techniques are described for generating seismic images based on pressure-shear (PS) wave information. Sensor data is generated by through seismic probing of an underground environment. The sensor data can include pressure (P) wave data. The sensor data is analyzed to determine PS wave data present in the sensor data. A CFP gathers spectrum is generated using the P wave velocity. An optimal curve through the CFP gathers spectrum is determined, and PS image(s) of the underground environment are generated by scanning along the optimal curve. The PS image(s) can be provided for presentation through interface(s). The generated PS wave images are correlated with P wave images, and can be plotted on the same coordinate system as P wave images.

Abstract: Embodiments of the present invention provide a data transmission processing method and apparatus. The data transmission processing method in the embodiments includes successfully reserving, by a first station, a time-frequency resource, and allocating, by the first station, at least a partial time-frequency resource of the time-frequency resource to a third station, so that the third station performs data transmission on the allocated time-frequency resource, where the third station is a non-associated neighboring station of the first station.

Abstract: A method includes obtaining, a screen splitting operation from a user on a touchscreen, splitting a current display screen into two areas based on the screen splitting operation, displaying, in a first area, an interface of a first application that is displayed on the display screen before splitting the screen, obtaining, from installed applications and using a clustering algorithm, at least one second application to combine with the first application in a split-screen manner, displaying an identifier of the at least one second application in a second area after the screen splitting, and displaying, in the second area, a third application that is currently running in a system.

Abstract: A broadband diffractive optical neural network simultaneously processes a continuum of wavelengths generated by a temporally-incoherent broadband source to all-optically perform a specific task learned using network learning. The optical neural network design was verified by designing, fabricating and testing seven different multi-layer, diffractive optical systems that transform the optical wavefront generated by a broadband THz pulse to realize (1) a series of tunable, single passband as well as dual passband spectral filters, and (2) spatially-controlled wavelength de-multiplexing. Merging the native or engineered dispersion of various material systems with a deep learning-based design, broadband diffractive optical neural networks help engineer light-matter interaction in 3D, diverging from intuitive and analytical design methods to create task-specific optical components that can all-optically perform deterministic tasks or statistical inference for optical machine learning.

Abstract: Disclosed are a monoclonal antibody and antigen-binding fragment thereof which can specifically bind to human carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5); also disclosed is a chimeric antigen receptor based on said antibody, and a method for preparing said antibody and antigen-binding fragment and use thereof for treating CEACAM5-related tumors.

Abstract: An uplink multi-user multi-input multi-output establishment method includes broadcasting, by a network side device, an uplink data sending announcement; receiving buffer information sent by a terminal that needs to send data, where the buffer information includes at least a sending level and a data sending length of to-be-sent data; determining, according to the buffer information, scheduling information for establishing uplink multi-user multi-input multi-output; and sending, to a terminal that is allowed to send data and selected from the terminal that needs to send data, a clear to send frame that carries the scheduling information, so that the terminal that is allowed to send data sends the to-be-sent data according to the scheduling information. The embodiments of the present disclosure effectively implement uplink multi-user multi-input multi-output establishment, so that signaling interworking is reduced, resource overheads are reduced, and data sending efficiency is improved.

Abstract: A method and an apparatus for sending a VR image, to improve accuracy of an image compression ratio determined when a VR image is sent. The method includes: receiving, by a VR host, first motion information sent by a VR device, where the first motion information is used to indicate a current motion status of the VR device; determining, by the VR host, a first image compression ratio based on the motion information; compressing, by the VR host, a to-be-sent VR image based on the first image compression ratio; and sending, by the VR host, the compressed VR image to the VR device.

Abstract: A process for seismic imaging of a subterranean geological formation includes generating a source wavefield from seismic data representing a subterranean formation. The process includes generating a receiver wavefield from the seismic data representing the subterranean formation. The process includes decomposing the source wavefield to extract a source depth component and decomposing the receiver wavefield to extract a receiver depth component. The process includes applying a transform to each of the source depth component and the receiver depth component. The process includes combining the source depth component and the receiver depth component to generate an imaging condition. The process includes extracting a low-frequency term from the imaging condition to generate a wave-path tracking data, generating a wave path from the wave-path tracking data, and rendering a seismic image of at least a portion of the subterranean geological formation from the generated wave path.

Abstract: Methods and seismic shot generation and data collection systems configured to determine a monotonically increased velocity v*(z) from a monotonically increased velocity model by requiring the monotonically increased velocity v*(z) to be nearest to a refraction velocity v(z) determined for an estimated depth z and to be characterized by a positive slope such that the refraction velocity v(z) increases with depth, and to generate a subsurface image based on the estimated depth z and the determined monotonically increased velocity v*(z).

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 method for forming conductive structures for a semiconductor device includes depositing a reflow material in features, e.g. vias, formed in a dielectric layer. A high melting point material is deposited in the feature and is reflowed and annealed in an ambient comprising one or more of hydrogen molecules, hydrogen ions, and hydrogen radicals at a temperature greater than 300° C. to fill the feature with a reflow material.

Abstract: The present disclosure discloses an Internet of Things communication method. In the present disclosure, a downlink data frame sent by the network side device includes a legacy preamble, a HEW preamble, and a data field; a subcarrier resource that is corresponding to the data field in a frequency domain includes at least one resource unit RU; and the RU is used to send a downlink IoT frame to the IoT terminal, where the downlink IoT frame includes an IoT preamble and an IoT data field, the IoT preamble is used to transmit physical layer control information of the downlink IoT frame, and the IoT data field is used to transmit downlink data between the network side device and the IoT terminal. According to the present disclosure, a network side device in a WLAN can schedule an IoT terminal, thereby reducing a conflict risk in an IoT communication process.

Abstract: Methods, systems, apparatus, and computer-readable media for deriving data elements from queries. In some implementations, a query is received, and one or more computers determine that the query involves an operation that satisfies one or more criteria. In response data is saved that indicates a derived data element corresponding to the operation. The one or more computers provide data causing a representation of the derived data element to be presented, such as data causing an interactive control representing the derived data element to be presented on a user interface.

Abstract: An acquisition system is configured to acquire seismic data representing a subsurface formation during a fracking process. The system includes at least one acoustic sensor that is configured to obtain vibration data representing vibrations relating to three orthogonal directions relative to the at least one acoustic sensor. The system is configured to receive the vibration data from the at least one acoustic sensor, identify one or more resonance frequencies represented in the vibration data, determine, based on the identified one or more resonance frequencies, a stage of a fracking process being performed, identify, based on the stage of the fracking process that is identified, a feature of one or more fractures in a borehole that is configured for the fracking process, and generate a seismic image of the subsurface formation based on the feature of the one or more fractures.

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: Methods, systems, apparatus, and computer-readable media for deriving data elements from queries. In some implementations, a query is received, and one or more computers determine that the query involves an operation that satisfies one or more criteria. In response data is saved that indicates a derived data element corresponding to the operation. The one or more computers provide data causing a representation of the derived data element to be presented, such as data causing an interactive control representing the derived data element to be presented on a user interface.