Abstract: A lifting system for inner yarn rails relates to the technical field of twisting and weaving equipment in factories, the system comprises an in-air conveying rail, and a carrier unit, wherein the in-air conveying rail is configured to convey the carrier unit, and the carrier unit is configured to carry a winding package; an inner yarn-carrier-lifting section is arranged on the in-air conveying rail, the inner yarn-carrier-lifting section is positioned on both sides of a twisting machine; when the inner yarn-carrier-lifting section rises, it communicates with the in-air conveying rail; when the inner yarn-carrier-lifting section descends, it approaches the position of a spindle bucket of the twisting machine. The winding packages delivered each time by one carrier unit can correspond to every spindle position of the twisting machine, dramatically improving the delivery efficiency of the winding packages.

Abstract: The present disclosure provides a whole-process automatic loading-and-unloading and logistics system, including an outer yarn preparation area, an inner yarn preparation area, a weaving area and an in-air conveying rail; the outer yarn preparation area is configured to have a carrier assembly, which delivers an outer yarn winding package to an outer yarn branch rail of a twisting machine in a twisting area via the out yarn main rail of the in-air conveying rail; in the inner yarn preparation area, the carrier assembly delivers an inner yarn winding package to an inner yarn branch rail of the twisting machine in the twisting area via the inner yarn main rail of the in-air conveying rail; in the twisting area, the carrier assembly delivers a yarn product to a yarn product donning rail in the weaving area via the yarn product main rail of the in-air conveying rail.

Abstract: The present disclosure provides a twisting machine for automatic donning, including an outer yarn branch rail arranged at the middle position of the twisting machine, wherein the outer yarn branch rail is positioned above the twisting machine, so as to successively drive the outer yarn carrier assembly to deliver the outer yarn winding package by suspending; further including an inner yarn branch rail arranged at the both sides of the twisting machine, the inner yarn branch rail is positioned above the twisting machine, so as to successively drive the inner yarn carrier assembly to deliver the inner yarn winding package by suspending. The forementioned structure enables the outer yarn winding package and the inner yarn winding package to be delivered high-efficiently in large scale by suspending and conveying, so as to largely reduce the labor intensity of operators and greatly improve production efficiency.

Abstract: The present disclosure relates to an item information push method. The item information push method includes: acquiring a plurality of attribute value sets of a to-be-promoted item according to preset value sets of a plurality of specified attributes; for the each attribute value set, determining an estimated warehouse-out quantity of the to-be-promoted item on a plurality of promotion platforms, according to historical traffic and historical warehouse-out quantities corresponding to a plurality of reference items and the historical traffic corresponding to the to-be-promoted item, on the plurality of promotion platforms; setting attribute values of the plurality of specified attributes of the to-be-promoted item according to the determined estimated warehouse-out quantity corresponding to the each attribute value set and the one set of values in the each attribute value set and sending the set attribute values to the plurality of promotion platforms.

Abstract: The disclosure provides methods and apparatuses, electronic device, storage medium, computer program product and computer program for search result presentation and for search request processing.

Abstract: An adaptive control method and system for an upper limb rehabilitation robot based on a game theory and surface Electromyography (sEMG) is disclosed. A movement trajectory that a robot is controlled to run within a training time is designed during subject operation. An sEMG-based Back Propagation Neural Network (BPNN) muscle force estimation model establishes a nonlinear dynamic relationship between an sEMG signal and end force by constructing a three-layer neural network. A human-computer interaction system is analyzed by the game theory principle, and a role of the robot is deduced. The control rate between the robot and a subject is updated by Nash equilibrium, and adaptive weight factors of the robot and the subject are determined. The robot adaptively adjusts the training mode thereof according to a movement intention of the subject during operation and a weight coefficient obtained by the game theory principle.

Abstract: The present application relates to a method for statistical distribution characterization of dendritic structures in original position of single crystal superalloy, and relates to the technical field of analysis of metal material composition and microstructure, comprising the following steps: step 1, processing a to-be-tested sample and determining a calibration coefficient; step 2, obtaining a two-dimensional element content distribution map of the to-be-tested sample; and step 3, determining the number and average spacing of primary dendrites. A composition distribution region analyzed in the present application is larger than the area of a distribution region of the traditional microscopic analysis method, and the sample preparation is simple. The distribution, number and average spacing of the primary dendrites can be obtained without metallographic corrosion sampling.

Abstract: This disclosure relates to geophysical exploration and seismic imaging, and more particularly to a seismic imaging method, system, and device based on pre-stack high-angle fast Fourier transform (FFT). The method includes: acquiring seismic data acquired during seismic exploration; extracting a common shot point gather from the seismic data followed by conversion into a frequency wavenumber domain common offset gather; calculating wave propagation angles; dividing an imaging region into a first region and a second region; solving constant coefficients of the first region and the second region; performing frequency-division layer-by-layer wavefield continuation on a frequency-wave number domain common offset gather to obtain imaging results at different depths and frequencies; subjecting the imaging results to integration followed by transformation to a spatial domain to obtain common offset imaging profiles; and subjecting the common offset imaging profiles to superposition obtain final imaging results.

Abstract: A main stream reservoir ecological modulation method considering incoming water from interval tributaries is provided. The method determines the contribution ratio of the incoming water from interval tributaries to first-day's water rising in a high-flow surge process and when to start ecological modulations of spawning ground sections, determines a river course routing method after a main stream and its tributaries joining and calibrating parameters, based on past hydrological data, performing river flow calculation on the discharge volume of upstream reservoirs and the flow after interval tributaries joining, and determines a main stream reservoir ecological modulation mode considering incoming water from interval tributaries.

Abstract: A main stream reservoir ecological modulation method considering incoming water from interval tributaries is provided. The method determines the contribution ratio of the incoming water from interval tributaries to first-day's water rising in a high-flow surge process and when to start ecological modulations of spawning ground sections, determines a river course routing method after a main stream and its tributaries joining and calibrating parameters, based on past hydrological data, performing river flow calculation on the discharge volume of upstream reservoirs and the flow after interval tributaries joining, and determines a main stream reservoir ecological modulation mode considering incoming water from interval tributaries.

Abstract: The seismic imaging resolution analysis method comprises: obtaining common-shot gathers and common-detector gathers; in the common-shot gathers, conducting detector focusing analysis on a focus point at (xj, zn) in each source point gather to obtain a source point focal-beam gather; looping all the focus points at a depth zn, and conducting computation on a weighted source-focusing operator Pik† (zn, zn); in the common-detector gathers, conducting source point focusing analysis on an focus point at (xj, zn) in each source point gather to obtain a detector focal-beam gather; Loop all the focus points at a depth zn, and conducting computation on a weighted detector-focusing operator Pik (zn, zn); and conducting computation on a normalized resolution function of a single focus point so as to obtain a horizontal resolution and a definition.

Abstract: A method, a system, and a device for full-waveform inversion deghosting for a marine variable depth streamer data acquisition are provided for solving existing problems that deghosted seismic data has low accuracy and is accompanied by artifacts due to a large error in ghost prediction. The provided method includes: acquiring seismic data, jointly solving Lippmann-Schwinger equations to obtain normal derivatives of an incident wave field and a wave field of a receiver surface, performing a wave field extrapolation by a Kirchhoff equation that includes only an integral on the receiver surface to obtain a wave field of a sea surface recorded by a horizontal streamer, calculating a ghost operator, and subjecting the ghosted wave field of the sea surface recorded by the horizontal streamer to full-waveform inversion deghosting to obtain deghosted seismic data. The provided method improves the accuracy and signal-to-noise ratio (SNR) of deghosted seismic data.

Abstract: The present disclosure belongs to the technical field of seismic exploration imaging, and relates to an interpretive-guided velocity modeling seismic imaging method and system, a medium and a device. The method comprises the following steps: S1. performing first imaging on a given initial velocity model to obtain a first imaging result; S2. performing relative wave impedance inversion on the first imaging result to obtain a relative wave impedance profile; S3. performing Curvelet filtering on the relative wave impedance profile to obtain a first interpretation scheme; S4. superposing the first interpretation scheme and the initial velocity model to obtain a new migration velocity field; S5. performing second imaging on a new migration velocity field to obtain a second imaging result; and S6. repeating steps S2-S4 for the obtained second imaging result until a final seismic imaging result is obtained.

Abstract: The present invention discloses a method of tracking control for a foot force and moment of a biped robot. According to the method, a double-spring damping model is designed, and a force tracking controller is designed by using an LQR optimization method, so as to realize tracking of the foot force and moment of the biped robot. Further, a desired force on a foot and a desired moment on the foot are calculated through a planned ZMP distribution method, thereby eventually achieving better ZMP tracking of the biped robot and adapting to ground of certain unevenness.

Abstract: The present disclosure belongs to the technical field of seismic exploration imaging, and relates to an interpretive-guided velocity modeling seismic imaging method and system, a medium and a device. The method comprises the following steps: S1. performing first imaging on a given initial velocity model to obtain a first imaging result; S2. performing relative wave impedance inversion on the first imaging result to obtain a relative wave impedance profile; S3. performing Curvelet filtering on the relative wave impedance profile to obtain a first interpretation scheme; S4. superposing the first interpretation scheme and the initial velocity model to obtain a new migration velocity field; S5. performing second imaging on a new migration velocity field to obtain a second imaging result; and S6. repeating steps S2-S4 for the obtained second imaging result until a final seismic imaging result is obtained.

Abstract: This disclosure relates to geophysical exploration and seismic imaging, and more particularly to a seismic imaging method, system, and device based on pre-stack high-angle fast Fourier transform (FFT). The method includes: acquiring seismic data acquired during seismic exploration; extracting a common shot point gather from the seismic data followed by conversion into a frequency wavenumber domain common offset gather; calculating wave propagation angles; dividing an imaging region into a first region and a second region; solving constant coefficients of the first region and the second region; performing frequency-division layer-by-layer wavefield continuation on a frequency-wave number domain common offset gather to obtain imaging results at different depths and frequencies; subjecting the imaging results to integration followed by transformation to a spatial domain to obtain common offset imaging profiles; and subjecting the common offset imaging profiles to superposition obtain final imaging results.

Abstract: The present invention provides a method for monitoring a balanced state of a humanoid robot, comprising: acquiring state data of the robot falling in different directions and being stable, forming a support vector machine (SVM) training data set and obtaining, by training, an initial SVM classifier; inputting the state data of the robot to the trained SVM classifier, so that the SVM classifier outputs a classification result; taking statistics on a proportion of cycles judged to have an impending fall in the total number of control cycles within a judgment buffer time after the SVM classifier outputs the classification result, and finally determining a monitoring result of the balanced state of the robot according to the proportion and finally extracting state data of misjudged cycles within the buffer time, adding the state data to the current training data set and updating the SVM classifier, eventually enabling the classifier to achieve the effects of matching motion capabilities of the robot and monitorin

Abstract: Disclosed are antagonists of PC3-secreted microprotein (PSMP) and use of the antagonists for treatment of liver, lung, or kidney fibrosis, including various diseases or disorders associated with liver, lung, or kidney fibrosis such as, e.g., non-alcoholic fatty liver disease (NAFLD), alcoholic liver disease (ALD), primary sclerosing cholangitis (PSC), primary biliary cholangitis (PBC), drug-induced lung injury, acute kidney injury (AKI), chronic kidney disease (CKD), lupus nephritis, IgA nephropathy, and membranous glomerulonephritis. Also disclosed are PSMP antagonists and their use for treatment of graft-versus-host disease (GVHD) and systemic lupus erythematosus (SLE). Suitable PSMP antagonists for use in disease treatment include PSMP-binding proteins such as, for example, neutralizing anti-PSMP antibodies.

Abstract: The present invention provides a method for monitoring a balanced state of a humanoid robot, comprising: acquiring state data of the robot falling in different directions and being stable, forming a support vector machine (SVM) training data set and obtaining, by training, an initial SVM classifier; inputting the state data of the robot to the trained SVM classifier, so that the SVM classifier outputs a classification result; taking statistics on a proportion of cycles judged to have an impending fall in the total number of control cycles within a judgment buffer time after the SVM classifier outputs the classification result, and finally determining a monitoring result of the balanced state of the robot according to the proportion and finally extracting state data of misjudged cycles within the buffer time, adding the state data to the current training data set and updating the SVM classifier, eventually enabling the classifier to achieve the effects of matching motion capabilities of the robot and monitorin

Abstract: An electronic device monitors a volume of data processed by the electronic device within a first monitoring time segment, where a processor of the electronic device is configured to be in a first working mode, and the processor processes data in a poll mode driver (PMD) manner in the first working mode. The electronic device switches the processor from the first working mode to a second working mode when it is determined, according to the volume of data processed by the electronic device within the first monitoring time segment, that the processor is idle within the first monitoring time segment, where the processor processes data in the PMD manner and a sleep manner in the second working mode.