Abstract: Methods and systems are disclosed for forming an image of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model for the subterranean region of interest, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset. The method further includes determining a transformed observed seismic dataset by applying a nonlinear amplitude transform to the observed seismic dataset and determining a transformed simulated seismic by applying the same transform to the simulated seismic dataset. The method still further includes forming an objective function based on the transformed observed seismic and the transformed simulated seismic dataset, and determining an updated seismic velocity model based upon finding an extremum of the objective function.

Abstract: Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.

Abstract: Systems and a method are disclosed. The method includes obtaining a plurality of raw seismic datasets for a subterranean region of interest, wherein each raw seismic dataset is generated by a high-speed train traversing a train track at a unique speed. The method further includes determining a plurality of processed seismic datasets by processing each of the plurality of raw seismic datasets and determining a final seismic dataset by combining the plurality of processed seismic datasets. The method still further includes identifying subterranean features within the subterranean region of interest using the final seismic dataset.

Abstract: Systems and methods for picking seismic stacking velocity based on structures in a subterranean formation include: receiving seismic data representing a subterranean formation; generating semblance spectrums from the seismic data representing the subterranean formation; smoothing the semblance spectrums; and picking stacking velocities based on the smoothed semblance spectrums.

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 channel access process method in a wireless local area network is provided. The method includes: generating, by a station, a backoff counter value; then performing, by the station, a backoff operation after receiving a first trigger frame, where the backoff operation includes: deducting, from the backoff counter value, a quantity N of subchannels for random access, to obtain a new backoff counter value; and when the new backoff counter value is 0 or a negative number, randomly selecting, by the station, one subchannel from the subchannels for random access, and then accessing the subchannel to send an uplink frame. The present application further provides a corresponding channel access apparatus. Applying the method and the apparatus of the embodiments of the present application improves system access efficiency and avoids a waste of system resources.

Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.

Abstract: Methods of and systems for forming an image of a subterranean region of interest are disclosed. The method includes obtaining an observed seismic dataset and a seismic velocity model for the subterranean region of interest and generating a simulated seismic dataset based on the seismic velocity model and the source and receiver geometry of the observed seismic dataset. The method also includes forming a plurality of time-windowed trace pairs from the simulated and the observed seismic datasets, and forming an objective function based on a penalty function and a cross-correlation between the members of each pair. The method further includes determining a seismic velocity increment based on the extremum of the objective function and forming an updated seismic velocity model by combining the seismic velocity increment and the seismic velocity model, and forming the image of the subterranean region of interest based on the updated seismic velocity model.

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: Embodiments of the present invention provide a split-screen display method and an electronic device. The method includes: An electronic device displays a display interface corresponding to a first task on a display when running a first application to execute the first task; receives, on the display interface corresponding to the first task, a first operation used to enable a second task; and enables a split-screen display mode in response to the first operation. Compared with that in the conventional technology, in the embodiments of the present invention, the split-screen mode can be triggered without an additional manual operation of a user. This achieves a technical effect of triggering, based on a task, an electronic device to enter a split-screen display mode, so that intelligence of the electronic device is improved.

Abstract: Embodiments herein are generally directed to methods of forming high aspect ratio metal contacts and/or interconnect features, e.g., tungsten features, in a semiconductor device. Often, conformal deposition of tungsten in a high aspect ratio opening results in a seam and/or void where the outward growth of tungsten from one or more walls of the opening meet. Thus, the methods set forth herein provide for a desirable bottom up tungsten bulk fill to avoid the formation of seams and/or voids in the resulting interconnect features, and provide an improved contact metal structure and method of forming the same. In some embodiments, an improved overburden layer or overburden layer structure is formed over the field region of the substrate to enable the formation of a contact or interconnect structure that has improved characteristics over conventionally formed contacts or interconnect structures.

Abstract: A method may include obtaining seismic data regarding a geological region of interest. The method may further include obtaining a property model regarding the geological region of interest. The method may further include determining an adjoint migration operator based on the property model. The method may further include updating the property model using the seismic data and a conjugate gradient solver in a least-squares reverse time migration to produce a first updated property model. The conjugate gradient solver is based on the adjoint migration operator. The method may further include updating the first updated property model using a threshold shrinkage function to produce a second updated property model. The threshold shrinkage function comprises a sign function and a maximum function that are applied to the first updated property model. The method may further include generating a seismic image of the geological region of interest using the second updated property model.

Abstract: A cold and/or hot compress system, comprising a water bag (101), an air bag (102), a water circulation assembly (2) in fluid communication with the water bag (101) and a pneumatic assembly (3) in fluid communication with the air bag (102). In the cold and/or hot compress system, the water circulation assembly (2) is independent from the pneumatic assembly (3). Therefore, during the delivery of a cooling or heating therapy, the independent pneumatic assembly (3) can be driven by an air pressure waveform defined by parameters pre-stored in a control panel (402) to cause the water bag (102) to apply cold/hot compress to a region of interest of a patient's body. Independent water and air circulation paths in the system avoid interference between water and air flows therein, allowing the system to applied more stable compress with minimized pressure errors. Moreover, a more constant water flow rate and a more uniform temperature distribution across the surface of the water bag are achievable.

Abstract: The present disclosure relates to compositions and methods for reversible fixation of biological samples using fixation reagents that form bis-carbamate crosslinks between amine-bearing moieties in biomolecules.

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.