Abstract: A seismic exploration method includes performing a true amplitude PSDM based on an initial velocity model of a subsurface formation to obtain a reflectivity model, and then a Born modeling using the reflectivity model to generate synthetic data. An image-based reflection full waveform inversion is applied to a cost function of differences between seismic data acquired over the subsurface formation and the synthetic data to update the initial velocity model. The updated velocity model enables exploring the presence of and/or assisting in the extraction of natural resources from the subsurface formation.

Abstract: Methods and systems for image segmentation and analysis are described. A predictive model may be trained to identify and/or extract a rich set of image features with extensive prognostic value. For example, the predictive model may be trained to identify and/or extract features that that may be visualized to identify areas of interest (e.g., high-risk regions, etc.) within or adjacent to an object of interest, such a tumor. The predictive model may be trained to identify and/or extract features that that may predict a health related outcome, such as cancer patient survival/death, and modify therapeutic outcomes, such as diagnosis and treatment.

Abstract: Flexible pressure sensors and wearable devices incorporating one or more flexible pressure sensors, and methods of making the same. A flexible pressure sensor includes a first layer including a plurality of pressure-sensitive microstructures, and a second layer including one or more electrode pairs, each of the one or more electrode pairs including a first electrode positioned adjacent a second electrode on the second layer. The first and second electrodes may be positioned on the second layer in a side-by-side configuration.

Abstract: Provided are a short video synthesis method and apparatus, a device and a storage medium. The method includes: obtaining a video frame set corresponding to a to-be-processed video, where each video frame in the video frame set carries a timestamp; respectively inputting all video frames in the video frame set into an interest frame identification model to obtain a plurality of to-be-synthesized video frames, where the interest frame identification model is used for identifying a video frame meeting an interest degree condition in the input video frames; and splicing, according to the timestamp carried by the each to-be-synthesized video frame, the plurality of to-be-synthesized video frames to form a short video corresponding to the to-be-processed video.

Abstract: A hydraulic forming machine, including a body provided with a feed inlet penetrating a first mounting surface, a cutting mechanism, a forming die, an ejector arranged on the forming die, and a driving mechanism. The forming die includes a movable die and a fixed die matched with each other. The cutting mechanism and the fixed die are provided on the first mounting surface of the body and respectively at two sides of the discharge end of the feed inlet. The movable die is arranged on the driving mechanism and driven by the driving mechanism to move close to or away from the fixed die in a direction perpendicular to the first mounting surface. The cutting mechanism is configured to cut a blank at an output end of the conveying inlet. The blank cut by the cutting mechanism is extruded between the fixed die and the movable die.

Abstract: Disclosed are systems and methods for image segmentation using convolutional networks. Image data comprising an image hypervolume can be received. The image hypervolume can be provided to a trained convolutional neural network (CNN). The CNN can output a segmentation of the image hypervolume.

Abstract: Disclosed are an object positioning method, a video display method, an apparatus, a device, and a storage medium. The method includes: continuously intercepting a preset number of video frames in a video stream to be detected; detecting a first frame image in the intercepted video frames by a You Only Look Once (YOLO) object detection method to obtain a first positioning result corresponding to the first frame image; detecting each of other frame images in the intercepted video frames by a Kernel Correlation Filter (KCF) object tracking method according to a positioning result corresponding to a frame image prior to the each of the other frame images to obtain respective second positioning results corresponding to the other frame images; and keeping on continuously intercepting the preset number of video frames in the video stream to be detected and obtaining corresponding positioning results until the video stream to be detected is finished.

Abstract: A method for preparing sodium taurine as a taurine intermediate is provided in the present disclosure. The method comprises the following steps: providing sodium hydroxyethyl sulfonate and an ammonia source; and placing the sodium hydroxyethyl sulfonate and the ammonia source in an aminolysis reactor for an aminolysis reaction to obtain a mixture containing sodium taurine as a taurine intermediate, wherein the molar ratio of ammonia in the ammonia source to the sodium hydroxyethyl sulfonate is greater than or equal to 25:1. A method for preparing taurine is further provided.

Abstract: A method for pooled sample testing for a target substance using compressed sensing includes receiving a plurality of individual samples, determining a mixing matrix for a plurality of pooled sample mixtures to create by mixing portions of selected ones of the plurality of individual samples, and determining an allocation matrix for the plurality of pooled samples, wherein the allocation matrix allocations portions of each of the plurality of pooled samples for each test, performing mixing to create the plurality of pooled sample mixtures based on the mixing matrix and the allocation matrix, performing quantitative tests on the plurality of pooled sample mixtures so as to estimate an amount of the target substance contained within each of the plurality of pooled sample mixtures, and decoding results of the quantitative tests to determine quantitative estimates of amount of the target substance in each of the plurality of individual samples.

Abstract: Methods and systems are described for a rotating shield brachytherapy device. As disclosed herein, the rotating shield brachytherapy (RSBT) apparatus may comprise a radiation source, a drive assembly, a catheter, and an applicator. The applicator can have an outer surface and opposed proximal and distal end portions and a longitudinal axis extending along a length of the catheter. The distal end portion of the catheter can comprise one or more radiation shields and is configured to receive the radiation source. The drive assembly can be configured to engage the proximal end portion of the catheter to selectively rotate the catheter about the longitudinal axis.

Abstract: An automated method for segmentation includes steps of receiving at a computing device an input image representing at least one surface and performing by the computing device image segmentation on the input image based on a graph surface segmentation model with deep learning. The deep learning may be used to parameterize the graph surface segmentation model.

Abstract: A video image processing method includes: acquiring first video images; generating mask information of the first video images in response to a mask information generation command; and transmitting the first video images and the mask information to an audience client, such that the audience client obtains second video images according to the first video images and the mask information.

Abstract: Embodiments of the disclosure provide a method and an apparatus for generating a navigation guide. In one embodiment, the method comprises: obtaining a point cloud database corresponding to an object to be identified, the object having a respective product model; determining a target navigation position based on the point cloud database; obtaining data associated with a screenshot of the product model, the screenshot captured based on the target navigation position; and generating the navigation guide for the object to be identified based on the data associated with the screenshot.

Abstract: An aqueous coating composition includes: i) an aqueous dispersion of a hydroxyl functional acrylic polymer; ii) a urethane component; iii) a hydroxyl reactive crosslinking agent different from component ii); and iv) an aqueous liquid carrier. The coating composition has a volatile organic (VOC) content of less than 420 g/L, and may be applied to a side seam strip or a side seam of a three-piece can.

Abstract: Provided are a short video synthesis method and apparatus, a device and a storage medium. The method includes: obtaining a video frame set corresponding to a to-be-processed video, where each video frame in the video frame set carries a timestamp; respectively inputting all video frames in the video frame set into an interest frame identification model to obtain a plurality of to-be-synthesized video frames, where the interest frame identification model is used for identifying a video frame meeting an interest degree condition in the input video frames; and splicing, according to the timestamp carried by the each to-be-synthesized video frame, the plurality of to-be-synthesized video frames to form a short video corresponding to the to-be-processed video.

Abstract: Disclosed are an object positioning method, a video display method, an apparatus, a device, and a storage medium. The method includes: continuously intercepting a preset number of video frames in a video stream to be detected; detecting a first frame image in the intercepted video frames by a You Only Look Once (YOLO) object detection method to obtain a first positioning result corresponding to the first frame image; detecting each of other frame images in the intercepted video frames by a Kernel Correlation Filter (KCF) object tracking method according to a positioning result corresponding to a frame image prior to the each of the other frame images to obtain respective second positioning results corresponding to the other frame images; and keeping on continuously intercepting the preset number of video frames in the video stream to be detected and obtaining corresponding positioning results until the video stream to be detected is finished.

Abstract: A game scene description method and apparatus, a device, and a storage medium is provided. The method includes: obtaining at least one video frame from a game live video stream; capturing a game map region image in the at least one video frame; inputting the game map region image into a first target detection model to obtain a display region of a game element on the game map region image; inputting an image of the display region of the game element into a classification model to obtain a state of the game element; and forming description information of a game scene displayed by the at least one video frame by the display region and the state of the game element.

Abstract: Disclosed is a porous carbon nanotube microsphere material and the preparation method and use thereof, a lithium metal-skeleton carbon composite and the preparation method thereof, a negative electrode of a secondary battery, a secondary battery, and a metal-skeleton carbon composite. The porous carbon nanotube microsphere material is spherical or spheroidal particles composed of carbon nanotubes. The spherical or spheroidal particles have an average diameter of 1 ?m to 100 ?m. A large number of nanoscale pores are composed of interlaced nanotubes inside the particle, and the pore size is 1 nm to 200 nm. The preparation method thereof comprises: mixing and dispersing carbon nanotubes and a solvent, and performing spray drying, to obtain the carbon nanotube microspheres. The lithium metal-skeleton carbon composite is obtained by uniformly mixing lithium metal in a melted state with a porous carbon material carrier and cooling.

Abstract: Disclosed are systems and methods for image segmentation using convolutional networks. Image data comprising an image hypervolume can be received. The image hypervolume can be provided to a trained convolutional neural network (CNN). The CNN can output a segmentation of the image hypervolume.

Abstract: Embodiments of the disclosure provide a method and an apparatus for generating a navigation guide. In one embodiment, the method comprises: obtaining a point cloud database corresponding to an object to be identified, the object having a respective product model; determining a target navigation position based on the point cloud database; obtaining data associated with a screenshot of the product model, the screenshot captured based on the target navigation position; and generating the navigation guide for the object to be identified based on the data associated with the screenshot.