Abstract: The present application provides a processing method and device of a hematoma aspiration decision-making system for intracerebral hemorrhage. A two-layer deep neural network is constructed for processing of a hematoma aspiration protocol, and a perception-decision-making-control method based on a time series is thus realized, which overcomes unpredictability of results of hematoma aspiration processes existing in the prior art, provides direct and convenient information transmission for surgeons to make decisions, can effectively improve the accuracy of aspiration treatment protocols for intracerebral hematoma, and provides digital, intelligent, and powerful support for clinical hematoma aspiration treatments.

Abstract: An optical power adjustment system includes a multi-mode light source, a mode demultiplexer, and an optical power adjustment apparatus. The multi-mode light source is configured to output a multi-mode optical signal, where the multi-mode optical signal includes N transverse-mode optical signals, N=2M, and M is an integer greater than 1. The mode demultiplexer is configured to convert the N transverse-mode optical signals into N fundamental-mode optical signals, and output the N fundamental-mode optical signals. The optical power adjustment apparatus includes M optical power adjustment modules and a control apparatus, each optical power adjustment module includes a plurality of phase shifters, and the control apparatus is electrically connected to the M optical power adjustment modules. A Kth optical power adjustment module includes 2K-1 multi-mode interferometers MMIs.

Abstract: Systems, methods, and devices are described for efficient extraction of provenance information from database query execution logs. A set of event records extracted from one or more database query execution logs is received. Groups of related event records are identified, and each defined as an activity. For each activity, an activity data structure is generated based on the associated event records. The data structure encodes query execution dependencies for the activity. For each activity, runtime information is extracted by identifying and instantiating process entities and relationships based on the associated event records and activity data structure. For each activity, lineage information is extracted by identifying and instantiating dataset entities and their lineage relationships based on query text within the associated event records.

Abstract: The present application provides a processing method and device of a hematoma aspiration decision-making system for intracerebral hemorrhage. A two-layer deep neural network is constructed for processing of a hematoma aspiration protocol, and a perception-decision-making-control method based on a time series is thus realized, which overcomes unpredictability of results of hematoma aspiration processes existing in the prior art, provides direct and convenient information transmission for surgeons to make decisions, can effectively improve the accuracy of aspiration treatment protocols for intracerebral hematoma, and provides digital, intelligent, and powerful support for clinical hematoma aspiration treatments.

Abstract: In various embodiments, a dubbing application performs three-dimensional (3D) tracking of (1) the face of an actor within video frames of a first media content item to generate 3D geometry representing the face of the actor, and (2) the face of a dubber within video frames of a second media content item to generate 3D geometry representing the face of the dubber. The dubbing application also tracks the texture and lighting of the face of the actor in the first media content item. The dubbing application aligns the 3D geometry of the face of the dubber with the 3D geometry of the face of the actor. Then, the dubbing application performs neural rendering to generate dubbed video frames using a trained machine learning model, the aligned 3D geometry of the dubber, the texture and lighting of the face of the actor, and the video frames of the first media content.

Abstract: A processing device, communicatively coupled to a microphone array with a first array geometry, may adapt the microphone array to a target beamformer associated with a target microphone array with a second array geometry. The processing device may, responsive to sound sources in a three-dimensional (3D) space, obtain a first plurality of electronic signals generated by the microphone array, divide a set of angles within the 3D space into J subsets of angles and identify a location of each sound source in the 3D space, with respect to the subsets of angles, based on the first plurality of electronic signals. An associated cost function may be evaluated for each frequency sub-band of a plurality of frequency sub-bands and for each subset of angles and a second plurality of electronic signals corresponding to the target microphone array may be generated based on the evaluation of the associated cost function.

Abstract: In various embodiments, a dubbing application performs three-dimensional (3D) tracking of (1) the face of an actor within video frames of a first media content item to generate 3D geometry representing the face of the actor, and (2) the face of a dubber within video frames of a second media content item to generate 3D geometry representing the face of the dubber. The dubbing application also tracks the texture and lighting of the face of the actor in the first media content item. The dubbing application aligns the 3D geometry of the face of the dubber with the 3D geometry of the face of the actor. Then, the dubbing application performs neural rendering to generate dubbed video frames using a trained machine learning model, the aligned 3D geometry of the dubber, the texture and lighting of the face of the actor, and the video frames of the first media content.

Abstract: Systems, methods, and devices are described for efficient extraction of provenance information from database query execution logs. A set of event records extracted from one or more database query execution logs is received. Groups of related event records are identified, and each defined as an activity. For each activity, an activity data structure is generated based on the associated event records. The data structure encodes query execution dependencies for the activity. For each activity, runtime information is extracted by identifying and instantiating process entities and relationships based on the associated event records and activity data structure. For each activity, lineage information is extracted by identifying and instantiating dataset entities and their lineage relationships based on query text within the associated event records.

Abstract: Systems, methods, and devices are described for efficient extraction of provenance information from database query execution logs. A set of event records extracted from one or more database query execution logs is received. Groups of related event records are identified, and each defined as an activity. For each activity, an activity data structure is generated based on the associated event records. The data structure encodes query execution dependencies for the activity. For each activity, runtime information is extracted by identifying and instantiating process entities and relationships based on the associated event records and activity data structure. For each activity, lineage information is extracted by identifying and instantiating dataset entities and their lineage relationships based on query text within the associated event records.

Abstract: A suction nozzle device includes a large-diameter pipe, a large-diameter nozzle, a small-diameter pipe, a small-diameter nozzle, and a support mechanism for supporting the large-diameter and small-diameter pipes so as to be movable relative to each other. As the large-diameter and the small-diameter pipes move relative to each other, the large-diameter nozzle and the small-diameter nozzle selectively protrude. A nozzle can be selected from nozzles having different diameters, and the flow rate can be varied in accordance with the selection of the nozzle.

Abstract: In various embodiments, a dubbing application performs three-dimensional (3D) tracking of (1) the face of an actor within video frames of a first media content item to generate 3D geometry representing the face of the actor, and (2) the face of a dubber within video frames of a second media content item to generate 3D geometry representing the face of the dubber. The dubbing application also tracks the texture and lighting of the face of the actor in the first media content item. The dubbing application aligns the 3D geometry of the face of the dubber with the 3D geometry of the face of the actor. Then, the dubbing application performs neural rendering to generate dubbed video frames using a trained machine learning model, the aligned 3D geometry of the dubber, the texture and lighting of the face of the actor, and the video frames of the first media content.

Abstract: In various embodiments, a dubbing application performs three-dimensional (3D) tracking of (1) the face of an actor within video frames of a first media content item to generate 3D geometry representing the face of the actor, and (2) the face of a dubber within video frames of a second media content item to generate 3D geometry representing the face of the dubber. The dubbing application also tracks the texture and lighting of the face of the actor in the first media content item. The dubbing application aligns the 3D geometry of the face of the dubber with the 3D geometry of the face of the actor. Then, the dubbing application performs neural rendering to generate dubbed video frames using a trained machine learning model, the aligned 3D geometry of the dubber, the texture and lighting of the face of the actor, and the video frames of the first media content.

Abstract: In various embodiments, a dubbing application performs three-dimensional (3D) tracking of (1) the face of an actor within video frames of a first media content item to generate 3D geometry representing the face of the actor, and (2) the face of a dubber within video frames of a second media content item to generate 3D geometry representing the face of the dubber. The dubbing application also tracks the texture and lighting of the face of the actor in the first media content item. The dubbing application aligns the 3D geometry of the face of the dubber with the 3D geometry of the face of the actor. Then, the dubbing application performs neural rendering to generate dubbed video frames using a trained machine learning model, the aligned 3D geometry of the dubber, the texture and lighting of the face of the actor, and the video frames of the first media content.

Abstract: The present invention discloses a Acinetobacter baumannii immunogenic protein and its composition and application. This invention provides a protein, comprising 39 amino acids of the N-terminal ?-helix part of the Ata protein transport functional domain of Acinetobacter baumannii and an adjuvant protein; amino acid sequence of said 39 amino acids of the N-terminal ?-helix part of the Ata protein transport functional domain of Acinetobacter baumannii is shown as the 127th-165th amino acid residues of SEQ ID NO:2. In present invention the 39 amino acids of the N-terminal ?-helix part of surface protein Ata (Acinetobacter trimeric autotransporter) of Acinetobacter baumannii, was took to fuse with CTB, and express in BL21. The protein was purified by a nickel column, and used to intraperitoneally immunize mouses by 2.5 ?g/mouse. Its immunogenicity and immunoprotection was verified through the animal experiments, which proves it has a good effect of anti-infection of Acinetobacter baumannii.

Abstract: Embodiments of this application disclose a method, device, storage medium, and LiDAR for LiDAR detection. The method includes: obtaining point cloud data corresponding to an i?1th ground line and point cloud data corresponding to an i?2th ground line; calculating a predicted height range of the ith ground line based on the point cloud data corresponding to the i?1th ground line and the point cloud data corresponding to the i?2th ground line; detecting a scanning points on the ith row of the scanning line based on the predicted height range to determine a target point in the scanning points; and obtaining the ith ground line based on the target point.

Abstract: An optical time-domain reflectometer (OTDR), where a laser emitting apparatus of the OTDR outputs a first optical signal in a first time period. A signal modulation apparatus of the OTDR generates a pulse signal based on the first optical signal, and outputs the pulse signal to an optical fiber in a second time period, where the first time period includes the second time period. A receiver of the OTDR receives a scattered signal from the optical fiber, where a frequency of the scattered signal is the same as a frequency of the first optical signal. Then, the laser emitting apparatus outputs a second optical signal in a third time period, where a frequency of the second optical signal is different from the frequency of the first optical signal. The second optical signal is used as a local oscillator signal to implement coherent detection in the receiver.

Abstract: This disclosure relates to improved systems and methods for applying coatings to brake rotors. The systems, methods, and techniques described in this disclosure facilitate application of both pretreatment coatings and protective coatings to brake rotors. Other embodiments are disclosed herein as well.

Abstract: Embodiments of this application provide an optical power adjustment system and an optical power adjustment apparatus. The system includes a multi-mode light source, a mode demultiplexer, and an optical power adjustment apparatus. The multi-mode light source is configured to output a multi-mode optical signal, where the multi-mode optical signal includes N transverse-mode optical signals, N=2M, and M is an integer greater than 1. The mode demultiplexer is configured to convert the N transverse-mode optical signals into N fundamental-mode optical signals, and output the N fundamental-mode optical signals. The optical power adjustment apparatus includes M optical power adjustment modules and a control apparatus, each optical power adjustment module includes a plurality of phase shifters, and the control apparatus is electrically connected to the M optical power adjustment modules. A Kth optical power adjustment module includes 2K?1 multi-mode interferometers MMIs.

Abstract: The present disclosure discloses a fracture repair device realizing transition from mechanical fixation (association of osteosynthesis, AO) to biological fixation (biological osteosynthesis, BO), including: a bone repair instrument, wherein auxiliary components are arranged at positions, close to a repaired bone surface, of the bone repair instrument, and each auxiliary component is made of a degradable metal material or a composite material thereof or a degradable polymeric material. The device of the present disclosure only has the advantages of AO rigid mechanical fixation, but also can effectively improve the defects of bone disconnection, fixed segment osteoporosis, re-fracture after defixation, etc., frequently occurring under AO rigid mechanical fixation, realizing transition from mechanical fixation (association of osteosynthesis, AO) to biological fixation (biological osteosynthesis, BO) during bone fixation or repair.

Abstract: The present disclosure relates generally to data storage using DNA sequences comprising synthetic nucleotides. In particular, the disclosure provides for a DNA data storage system comprising a covalently linked sequence of nucleotides, wherein the sequence of nucleotides comprises a modification region, wherein the nucleotides comprise synthetic nucleotides.