Abstract: A system for quantitative parameter mapping using magnetic resonance (MR) image includes an input for receiving a plurality of weighted MR images of a subject and a corresponding at least one imaging parameter for the plurality of weighted MR images, and a quantitative parameter mapping neural network coupled to the input and configured to estimate at least one tissue parameter and generate at least one quantitative map for the at least one tissue parameter based on the plurality of weighted MR images of the subject and the corresponding at least one imaging parameter. The quantitative parameter mapping neural network can be trained using a set of training data utilizing at least one confounder for the quantification of the at least one tissue parameter. The system can further include a display coupled to the quantitative parameter mapping neural network to display the at least one quantitative map.

Abstract: The present disclosure provides a control method and control apparatus for a voltage source-type wind turbine.

Abstract: A method for predicting movement of a first plurality of keypoints of a first instrument comprises receiving, at a neural network model, a first location of the first plurality of keypoints and a first location of a second plurality of keypoints of a second instrument. The method further comprises determining a trajectory for the first and second pluralities of keypoints by: generating, using an attention model of the neural network model, a first and second tool-level graph indicating a spatial-temporal relationship between the first and second pluralities of keypoints, respectively; and generating a scene-level graph based on the tool-level graphs. The scene-level graph indicates a spatial-temporal relationship between the first and second pluralities of keypoints. The method further comprises generating an output image based on the determined trajectory. The output image includes an output location of the first and second pluralities of keypoints.

Abstract: Systems and methods of cooperative autonomous driving are provided. An example method in accordance with the presently disclosed technology may comprise: (1) determining a first driving maneuver for a first vehicle in a traffic segment based on a first agility level for the first vehicle and a second agility level for a second vehicle in the traffic segment, wherein the first agility level is different from the second agility level; (2) determining a second driving maneuver for the second vehicle based on the first driving maneuver; (3) executing the first driving maneuver for the first vehicle; and (4) executing the second driving maneuver for the second vehicle. If, for example, the first agility level comprises a higher agility level than the second agility level, the first driving maneuver may involve a more rapid velocity change than the second driving maneuver.

Abstract: A method and system are directed to protecting hardware intellectual property (IP) of hardware designs. The method comprises receiving a hardware locking request comprising a register transfer level (RTL) design file, generating a circuit representation of the RTL design file, wherein the circuit representation comprises a translation of the RTL design file into one or more logic elements. The method may further comprise inserting a plurality of key programmable integrated clock gates (ICGs) into the circuit representation and generating a clock gated and locked netlist based on the insertion of the plurality of key programmable ICGs into the circuit representation.

Abstract: A vehicle includes one or more sensors configured to obtain raw data related to a scene, one or more processors, and machine readable instructions stored in one or more memory modules. The one machine readable instructions, when executed by the one or more processors, cause the vehicle to: process the raw data with a first neural network stored in the one or more memory modules to obtain a first prediction about the scene, transmit the raw data to a computing device external to the vehicle, receive a second prediction about the scene from the computing device in response to transmitting the raw data to the computing device, and determine an updated prediction about the scene based on a combination of the first prediction and the second prediction.

Abstract: The invention discloses absorbable bone wax having a function of promoting bone repair and a preparation method thereof, falling within the technical field of biomedical materials. The absorbable bone wax comprises the following components in mass percentage: 10%˜50% polyoxypropylene polyoxyethylene block copolymer, 50%˜90% polyoxypropylene polyoxyethylene random copolymer, 0%˜20% strontium substituted hydroxyapatite and 0%˜20% microcrystalline cellulose. The absorbable bone wax has good biocompatibility and degradability, can provide good physiological conditions for absorption in vivo, has excellent mechanical and hemostatic properties, and promotes bone repair.

Abstract: A spatial light modulator and a projection system are provided. The spatial light modulator includes a substrate layer, a first electrode layer, a first metasurface layer, a phase change material layer, a second electrode layer, and a first flat layer. The first electrode layer and the second electrode layer are respectively disposed on opposite sides of the substrate layer and the first flat layer that are parallel to each other, and the first metasurface layer and the phase change material layer are disposed between the first electrode layer and the second electrode layer. The first metasurface layer includes at least two metasurface units that are sequentially arranged, and a resonance frequency of each metasurface unit corresponds to a preset incident optical wavelength of each metasurface unit. The spatial light modulator performs phase modulation on incident light through the first metasurface layer and the phase change material layer.

Abstract: This application provides a data processing method, a computer device, and a medium. The method is applied to a terminal device including a first client. The first client has a public client key and a private client key. The first client stores encrypted data that is obtained by encrypting the private client key according to an object password. The method includes receiving the object password; decrypting the encrypted data by using the received object password to obtain the private client key; signing the encrypted data based on the private client key to obtain a signature of the encrypted data; and transmitting the public client key, the encrypted data, and the signature of the encrypted data to a cloud device of the first client, the cloud device storing the encrypted data after verifying the encrypted data based on the public client key and the signature of the encrypted data.

Abstract: A method for measuring a distance is provided. The method includes receiving a fine time measurement (FTM) message, extracting channel state information (CSI) from the FTM message, determining with a channel condition classifier a probability that the FTM message is multi-path based on the corresponding CSI, and discarding the FTM message in response to the probability that the FTM message is multi-path is above a threshold level of probability.

Abstract: Systems and methods of cooperative autonomous driving which maximize objectives of a global traffic environment are provided. In particular, a cooperative controller may control multiple connected vehicles within a traffic environment. In certain embodiments, the cooperative controller may assign each connected vehicle a traffic role, based in part on their situation within the traffic environment. In some embodiments, this traffic role may also be based on a “priority level” for the connected vehicle which corresponds to a desired travel time. Once traffic roles have been assigned, the cooperative controller may control each connected vehicle according to a driving policy associated with its assigned traffic role.

Abstract: A blockchain-based data processing method, device, and a computer-readable storage medium are provided. A first resource acquisition request of an object identification is transmitted for a target virtual resource to a blockchain network to make the blockchain network query a target ticket identification associated with the object identification and the target virtual resource based on the first resource acquisition request. Metadata is acquired having a binding relationship with the target ticket identification. The target ticket identification is used for characterizing that the object identification has ownership of the target virtual resource. The target virtual resource is acquired according to the metadata returned by the blockchain network. The target virtual resource is controlled to perform an interaction output in response to a triggering operation for interacting with the target virtual resource.

Abstract: A titanium alloy blade tip with a wear-resistant protective coating and a preparation method thereof are provided. The method includes: (1) spraying MCrAlY alloy powder on a surface of a titanium alloy blade tip by high velocity oxygen fuel (HVOF) spraying at a spraying distance of 300-400 mm to obtain the titanium alloy blade tip with a MCrAlY layer on the surface; where M is one of Ni and NiCo; (2) pre-plating Ni at a current density of 4-10 A/dm2; (3) placing the pre-plated titanium alloy blade tip in a Watt solution, covering a surface of the pre-plated titanium alloy blade tip obtained in the step (2) with abrasive particles, and then performing composite electroplating at a current density of 0.5-2 A/dm2. In the method, the wear-resistant protective coating with the high adhesion strength is prepared on the titanium alloy blade tip, and the wear-resistant protective coating has good wear resistance.

Abstract: System, methods, and embodiments described herein relate to dynamically generating a wide field-of-view three-dimensional pseudo point cloud of an environment around a vehicle. A disclosed method may include capturing, via a camera, a first view in a first image, determining a first depth map based on the first image, obtaining, from an external system, a second image of a second view that overlaps the first view and a second depth map based on the second image, inputting the first image and the second image into a self-supervised homograph network that is trained to output a homographic transformation matrix between the first image and the second image, and generating a three-dimensional pseudo point cloud that combines the first depth map and the second depth map based on the homographic transformation matrix.

Abstract: Embodiments of this application relate to a digital certificate verification method and apparatus, a computer device, and a storage medium. The digital certificate verification method is performed by a authentication center, and include receiving a verification request for verifying a target digital certificate; obtaining a target transaction record corresponding to the target digital certificate from a blockchain, the target digital certificate being stored in the blockchain as a transaction resource; obtaining a target account type corresponding to the target transaction record, different account types corresponding to different certificate operation states; and determining a verification result corresponding to the target digital certificate according to the target account type.

Abstract: A method and an apparatus for controlling display screen, and a storage medium are provided. The method includes: acquiring temperature information of a target region of a display control chip, in which the display control chip is configured to control display of a display screen by controlling display of a LED light plate of a display module of an electronic device; adjusting brightness of the display screen of the electronic device according to the temperature information of the target region.

Abstract: A method for detecting a location of a plurality of keypoints of a surgical instrument comprises receiving, at a first neural network model, a video input of a surgical procedure. The method further comprises generating, using the first neural network model, a first output image including a first output location of the plurality of keypoints annotated on a first output image of the surgical instrument. The method further comprises receiving, at a second neural network model, the first output image and historic keypoint trajectory data including a historic trajectory for the plurality of keypoints. The method further comprises determining, using the second neural network model, a trajectory for the plurality of keypoints. The method further comprises generating, using the second neural network model, a second output image including a second output location of the plurality of keypoints annotated on a second output image of the surgical instrument.

Abstract: A self-monitoring method of a display and a display are disclosed. The self-monitoring method of a display includes: acquiring first display parameters of at least two frames of image outputted by the display, in which each frame of image of the at least two frames of image corresponds to a first display parameter, and extraction of first display parameters of two adjacent frames of image in the at least two frames of image has a time interval; acquiring a fifth difference between a maximum value of at least two first display parameters corresponding to the at least two frames of image and a minimum value of at least two first display parameters corresponding to the at least two frames of image; and acquiring a first preset threshold, comparing the fifth difference with the first preset threshold, and determining whether or not display abnormality presents in the display.

Abstract: A method includes calculating a first adaptive threshold based on uncertainty of a first parameter of a first collaborative perception message (CPM) from a first node and uncertainty of the first parameter of a second CPM from a second node, calculating a second adaptive threshold based on uncertainty of a second parameter of the first CPM and uncertainty of the second parameter of the second CPM, obtaining a first association matrix by filtering out one or more pairs whose score is greater than the first adaptive threshold, obtaining a second association matrix by filtering out one or more pairs whose score is greater than the second adaptive threshold, obtaining a fused association matrix based on the first association matrix and the second association matrix, and implementing a fusion algorithm on the fused associated matrix to obtain correspondence identification among objects.

Abstract: This application discloses a method and for dividing geographical regions performed by a computing device. The method includes: obtaining N groups of the place names, their corresponding latitudes and longitudes; converting the N groups of the place names, their corresponding latitudes and the longitudes into a first dataset; encoding latitudes and longitudes in the first dataset into a second dataset, each pair of latitude and longitude corresponding to a respective geographical region associated with a region number in the second dataset; converting the second dataset into a third dataset, the third dataset including M groups of the region numbers, each group of region numbers representing central point latitudes and central point longitudes in the geographical regions represented by the group of region numbers; and dividing the geographical regions represented by the M groups of region numbers into P regions according to the third dataset.