Abstract: Methods and systems for processing a bevel edge of a wafer in a bevel plasma chamber. The method includes receiving a pulsed mode setting for a RF generator of the bevel plasma chamber. The method includes identifying a duty cycle for the pulsed mode, the duty cycle defining an ON time and an OFF time during each cycle of power delivered by the generator. The method includes calculating or accessing a compensation factor to an input RF power setting of the generator. The compensation factor is configured to add an incremental amount of power to the input power setting to account for a loss in power attributed to the duty cycle to be run in the pulsed mode. The method is configured to run the generator in the pulse mode with the duty cycle and the pulsing frequency.

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: 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: The present embodiments relate generally to a system and method for generating images from ultrasound imaging data. The system can include a data acquisition processor, and administrator processor, a user device, and a server. The method can include transmitting images to a server, applying an implicit misfit function to generate a first set of images, then, based on this first set, apply an explicit misfit function to generate a second set of images of higher accuracy.

Abstract: Systems, methods, and apparatuses for generating a subsurface image using diffraction energy information are disclosed. The systems, methods, and apparatuses may include converting a shot gather into one or more plane-wave gather using a Radon transform. The plane-wave gathers may be extrapolated into source-side wavefields and receiver-side wavefields and further generate a pseudo dip-angle gather. The diffraction energy information may be extracted from the pseudo dip-angle gather, and an image containing subsurface features may be generated from the extracted diffraction energy information. The receiver-side wavefields may be decomposed using a recursive Radon transform.

Abstract: Methods and systems for forming a three-dimensional (“3D”) seismic image of a subterranean region of interest is disclosed. The method includes obtaining a seismic dataset a seismic trace for each of a plurality of pairs of one source and one receiver location and obtaining a 3D travel-time cube for each source location and each receiver location. The method further includes dividing the seismic dataset into a plurality of seismic subsets composed of set of source locations, set of receiver locations a seismic trace for each pair of source and receiver location and the 3D travel-time cube for each source for each receiver location. The method still further includes transmitting, to a random-access memory block of a computer processing unit the seismic subset, and forming a seismic partial image based on the seismic subset, and determining the 3D seismic image based on a combination of the seismic partial images.

Abstract: A method may include obtaining seismic data for a geological region of interest. The method may further include determining various velocity semblance values for the geological region of interest using a time window and the seismic data. The method may further include determining, automatically by a computer processor, one or more stacking velocities for the geological region of interest using a traced path based on the velocity semblance values and a path tracing algorithm. The path tracing algorithm may recursively determine an accumulated amplitude array based on the velocity semblance values. The path tracing algorithm may further determine the traced path among the velocity semblance values and the accumulated amplitude array, the traced path corresponding to the one or more stacking velocities. The method may further include generating a velocity model of the geological region of interest using the one or more stacking velocities.

Abstract: The present embodiments include a system and method for processing multi-dimensional images in real time through the use of third-party servers and cloud computing. The system includes a data acquisition processor, a data storage unit, an administrator processor, and a server. The server can be a cloud-based server. The method includes receiving multi-dimensional imaging data, compressing and blending the image data, transmitting the image data to a server, decompressing and deblending the data, generating multi-dimensional images, and transmitting the imaging data back to the administrator processor.

Abstract: A method for generating a seismic image representing a subsurface includes receiving seismic data for the subsurface formation, including receiver wavelet data and source wavelet data. Source wavefield data are generated based on a forward modeling of the source wavelet data. Receiver wavefield data are generated that compensate for distortions in the seismic data by: applying a dispersion-only model to the receiver wavelet data to generate a first reconstructed back-propagated receiver wavefield portion, applying a dissipation-only model to the receiver wavelet data to generate a second reconstructed back-propagated receiver wavefield portion, and combining the first back-propagated receiver wavefield portion and the second back-propagated receiver wavefield portion into the receiver wavefield data.

Abstract: Provided herein are methods for treating a patient having NASH who has been determined to have a particular threshold level of serum Pro-C3 (e.g., greater than 10 ng/ML) by administering to the patient a modified Fibroblast growth factor 21 (FGF-21) in an amount and with a frequency sufficient to treat NASH. Also provided are methods for monitoring responsiveness of a patient having NASH to treatment with a modified FGF-21, the method comprising: determining the serum Pro-C3 level in a blood sample from the patient obtained during or after treatment, wherein: a decreased serum Pro-C3 level in the blood sample from the patient obtained during or after treatment, as compared to the serum Pro-C3 level in a blood sample from the patient obtained prior to treatment with the modified FGF-21, indicates that the patient is responsive to treatment with the modified FGF-21.

Abstract: The present invention provides a connection device, as well as a connector and heat exchange device, both having the connection device. The connection device includes a plurality of first connectors, a casing, a pressing member and a fastening assembly. The plurality of the first connectors, the pressing member and the fastening assembly are all at least partially housed in the casing, and the pressing member has a pressing portion which is exposed out of the casing. The first connectors are adapted to mate with respective second connectors. The fastening assembly is configured to switch between a ready-to-fasten configuration and a fastening configuration and thereby change connection conditions between the first and second connectors. Firstly, the connection device of the present invention is overall simple in structure and space-saving.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for utilizing equivalent linear velocity for first arrival picking of seismic refraction. In one aspect, a method includes receiving data for the shot gather record, generating a diving wave equation curve for a particular parameter pair of multiple parameter pairs, and integrating the shot gather record data corresponding to the diving wave equation curve over a selected range of offsets of the shot gather to generate an equivalent linear velocity value for the particular parameter pair and the shot gather record data, selecting, from the equivalent linear velocity values for the plurality of parameter pairs, a greatest equivalent linear velocity value of the equivalent linear velocity values, the greatest equivalent linear velocity value corresponding to a first-arrival parameter pair, and determining, using the first-arrival parameter pair, a set of first-arrival onsets for the selected sub-range of offsets.

Abstract: The embodiments of the present disclosure disclose a method for uplink multiuser data transmission and a system for uplink multiuser multiple input multiple output. The method includes: sending, by an access point AP, indication information to at least two stations STAs, wherein the indication information is used for indicating that the at least two STAs perform an uplink multiuser data transmission; receiving, by the AP, uplink data sent by the at least two STAs through channels from the at least two STAs to the AP, respectively; and demodulating, by the AP, the uplink data sent by the at least two STAs using receiving beams corresponding to pre-estimated channels from the at least two STAs to the AP, respectively.

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: A method for generating a geophysical image of a subsurface region includes defining a computational sub-volume for the geophysical image including a predetermined number of seismic traces of a plurality of seismic traces and a predetermined number of samples per each one of the plurality of seismic traces, generating a data matrix corresponding to a first sub-volume of the subsurface region based on the defined computational sub-volume, the data matrix comprising the predetermined number of samples for the predetermined number of traces of a portion of a seismic dataset corresponding to the first sub-volume. The method also includes estimating a coherence between the predetermined number of traces of the data matrix by performing a sum of a variance of the predetermined number of samples of the data matrix, and assigning the estimated coherence to a location in the geophysical image.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: generating, using a source wavelet and a current velocity model, modeled seismic data of the subterranean formation; applying a pre-condition to a seismic data residual calculated using the modeled seismic data and acquired seismic data from the subterranean formation; generating a velocity update using the source wavelet and the pre-conditioned seismic data residual; updating, using the velocity update, the current velocity model to generate an updated velocity model; determining that the current velocity model satisfies a predetermined condition; and responsively determining that the updated velocity model is the velocity model of the subterranean formation.

Abstract: The present application provides a channel access process method in a wireless local area network. 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: 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.