Abstract: Provided is an efficient preparation method of a bimetallic seamless composite pipe, and belongs to the technical field of steel pipe manufacture. The efficient preparation method of the bimetallic seamless composite pipe includes following steps: sheathing a base pipe blank on a cladding pipe blank to obtain a composite pipe blank, and carrying out a stress relief annealing treatment on the composite pipe blank, where the base pipe blank and the cladding pipe blank are made of different materials; heating the composite pipe blank after the stress relief annealing treatment to a hot working window temperature, and sheathing on a core rod of an extrusion cylinder after an insulation treatment, and then extruding along an axial direction of the extrusion cylinder to obtain a bimetallic seamless composite pipe.

Abstract: Provided in the present disclosure are a detection circuit for LiDAR system and system and methods for LiDAR and vehicle systems. The detection circuit includes: an input terminal configured to receive a first signal for representing position information of a motor or an optical redirecting element; an output terminal configured to be connected to a laser; a detection signal generation unit configured to generate a detection signal based on the first signal; and a control unit configured to determine whether the motor or the optical redirecting element fails based on a comparison between the detection signal and a preset signal threshold, and output a control signal via the output terminal to control the laser. The accuracy and reliability of fault detection of optical redirecting element are achieved.

Abstract: Disclosed are a peptide urea derivative, a pharmaceutical composition containing the peptide urea derivative, and an application of the peptide urea derivative. The derivative is as represented by formula I, wherein R is a group containing radioactive metal ions or a group capable of optical imaging. The derivative can be used for preoperative imaging diagnosis and grading of PSMA positive prostate cancer, can also be used for treatment of various types and stages of prostate cancer, achieves the integration of diagnosis and treatment, and has a wide application prospect.

Abstract: A multi-dimensional feature identification method of a disaster-causing cyclone includes: determining a disaster-causing range based on a path of the disaster-causing cyclone, dividing the disaster-causing range into multiple grid points, obtaining meteorological data including wind speeds and rainfall amounts of the grid points within the disaster-causing range; determining, based on historical typhoon data, disaster-causing thresholds including a wind speed disaster-causing threshold and a rainfall disaster-causing threshold for the meteorological data; constructing a multi-dimensional feature database for disaster-causing events; and performing multi-dimensional feature identification on the disaster-causing cyclone based on the multi-dimensional feature database for disaster-causing events.

Abstract: A peptide-urea derivative, a pharmaceutical composition containing same and an application thereof are provided, the derivative being as shown in formula I. The derivative can be used for preoperative imaging diagnosis and grading of PSMA-positive prostate cancer, and can also be used for the treatment of various types and stages of prostate cancer, achieving the integration of diagnosis and treatment, and having broad application prospects.

Abstract: An electric resistance welding method for a dissimilar metal joint used for welding a laminated structure, with an outer layer being composed of iron or iron-based alloy, and an inner layer being composed of a metal with a density of less than 5 g/cm3 or a melting point of lower than 800° C. The electric resistance welding method comprises an expulsion stage in which a light metal or low-melting-point metal in the middle of the laminated structure is separated in a splashing mode, so that a connecting structure is directly formed between iron or iron-based alloy layers in a welding interface to complete welding. According to the invention, the formation of brittle intermetallic compounds on the welding interface of the dissimilar joint can be avoided, thereby improving the mechanical properties of the joint and achieving reliable connection between dissimilar metals. The invention further provides a dissimilar metal joint.

Abstract: The disclosure provides a device and a method to press a QMAX-Card to form a liquid layer. A device comprises a first arm including a pressing block and a second arm including a compartment for accommodating the QMAX-Card. Each of the first arm and the second arm comprises a first end and a second end opposing the first end, and the first arm and the second arm are joined by a hinge at the first end. The first arm is capable of rotating around the hinge toward the second arm 500 from an open position to a close position. The pressing block and the compartment face each other and are disposed at the second end. The pressing block press the QMAX-Card so that the QMAX-Card changes a closed configuration to compress a liquid sample in the QMAX-Card into a substantially uniform thin layer.

Abstract: The disclosure provides an apparatus for high throughput analysis of samples and a method of making an assay card and performing an assay using the apparatus. The apparatus can include a transporter to position and advance a first plate of the QMAX card, a first dispenser to deposit a sample on the first plate, a second dispenser to dispense a reagent to contact the sample, a press to compress the sample between the first and second plates of the QMAX card into a uniformly thick layer, and an imager to image the uniformly thick layer.

Abstract: Embodiments of the present disclosure relates to an electronic device, a vision-based operation method and system for a robot. The electronic device includes at least one processing unit; and a memory coupled to the at least one processing unit and storing computer program instructions therein, the instructions, when executed by the at least one processing unit, causing the electronic device to perform acts including: obtaining an image containing a tool of a robot and an object to be operated by the tool, the image being captured by a camera with a parameter, obtaining a command for operating the tool, the command generated based on the image; and controlling the robot based on the command and the parameter. Embodiments of the present disclosure can greatly improve the accuracy, efficiency and safety of an operation of a robot.

Abstract: A data transmission method includes an access node sends first traffic to a first core network device in a core network through a first service plane of a bearer network. The access node sends second traffic to a second core network device in the core network through a second service plane of the bearer network. The first service plane and second service plane are independent all-active service planes in the bearer network. Service data sent by the base station is split on the access node, and split data each corresponds to one transmission path. Even if one transmission path is completely interrupted, the service data may still be transmitted by another core network device through the other transmission path.

Abstract: The present application relates to a method for robot control. The method includes: obtaining at least one parameter associated with a robot to be controlled by a controller; determining a first identity of the robot based on the at least one parameter; comparing the first identity with a pre-stored second identity; and in response to the first identity matching the second identity, controlling operations of the robot with the controller. The present application further discloses detection of a mismatch between the controller and the robot in an easy, safe and convenient way.

Abstract: A resistance spot welding electrode cap contains a groove at the center of the welding contact interface. During welding, because of the groove, the area of contact between the electrode cap and a metal workpiece to be soldered is reduced. In the initial stage, the overall heat generation is concentrated on the outer ring of the weld point and heat dissipation becomes slower, helping a weld nugget to form from the outside to the inside. Due to the presence of the groove, the metal workpiece expands toward the groove at the center of the electrode, thereby increasing the size of the weld nugget and reducing splash and deformation. In comparison with conventional electrode caps, the welding current required to form weld points of the same size is lower, saving on electricity costs, and weld points obtained using the same current have higher strength and stability with fewer welding defects.

Abstract: A high-temperature disaster forecast method based on a directed graph neural network is provided, and the method includes the following steps: S1, performing standardization processing on meteorological elements respectively to scale the meteorological elements into a same value range; S2, taking the meteorological elements as nodes in the graph, and describing relationships among the nodes by an adjacency matrix of graph; then learning node information by a stepwise learning strategy and continuously updating a state of the adjacency matrix; S3, training the directed graph neural network model after determining a loss function, obtaining a model satisfying requirements by adjusting a learning rate, an optimizer and regularization parameters as a forecast model, and saving the forecast model; and S4, inputting historical multivariable time series into the forecast model, changing an output stride according to demands, and thereby obtaining high-temperature disaster forecast for a future period of time.

Abstract: The present disclosure provides a meteorological big data fusion method based on deep learning, including the following steps: constructing multi-source meteorological data samples; according to an original resolution of different climate variables, selecting a corresponding super-resolution multiple to obtain an optimized super-resolution module under the constraint of maximizing information retention efficiency; constructing a spatial-temporal attention module using a focused attention mechanism, and selecting a corresponding time stride according to periodic characteristics of different climate variables; constructing a meteorological data fusion model in combination with the optimized super-resolution model and the spatial-temporal attention module; taking a minimum resolution of climate variables as a loss function, and training the meteorological data fusion model with the multi-source meteorological data samples; and importing the acquired real-time meteorological data from multiple data sources into t

Abstract: A blank material for a ceramic tile consists of the following components in percentage by weight: nepheline powder: 10%-15%; clay with a carbon content of ?3.0 wt %: 10%-15%; clay with a carbon content of ?0.5 wt %: 15%-22%; clay with a carbon content between 0.5 wt % and 3.0 wt %: 10%-15%; recycled waste blank: 5%-10%; sodium potassium powder: 5%-10%; sodium feldspar powder: 12%-20%; desulfurization residue: 0%-7%; waste from edging and polishing: 15%-26%; waste porcelain powder: 5%-10%; liquid gel remover: 0.3%-1.0%; liquid reinforcing agent: 0.2%-0.8%. Its preparation method comprises the following steps: preparing raw materials for a blank body and ball milling, powder spray granulation, aging, pressing and molding of the blank body, drying, polishing the blank body, spraying water, glazing, applying a decorative pattern, firing.

Abstract: A high-temperature disaster forecast method based on a directed graph neural network is provided, and the method includes the following steps: S1, performing standardization processing on meteorological elements respectively to scale the meteorological elements into a same value range; S2, taking the meteorological elements as nodes in the graph, and describing relationships among the nodes by an adjacency matrix of graph; then learning node information by a stepwise learning strategy and continuously updating a state of the adjacency matrix; S3, training the directed graph neural network model after determining a loss function, obtaining a model satisfying requirements by adjusting a learning rate, an optimizer and regularization parameters as a forecast model, and saving the forecast model; and S4, inputting historical multivariable time series into the forecast model, changing an output stride according to demands, and thereby obtaining high-temperature disaster forecast for a future period of time.

Abstract: The present disclosure provides a meteorological big data fusion method based on deep learning, including the following steps: constructing multi-source meteorological data samples; according to an original resolution of different climate variables, selecting a corresponding super-resolution multiple to obtain an optimized super-resolution module under the constraint of maximizing information retention efficiency; constructing a spatial-temporal attention module using a focused attention mechanism, and selecting a corresponding time stride according to periodic characteristics of different climate variables; constructing a meteorological data fusion model in combination with the optimized super-resolution model and the spatial-temporal attention module; taking a minimum resolution of climate variables as a loss function, and training the meteorological data fusion model with the multi-source meteorological data samples; and importing the acquired real-time meteorological data from multiple data sources into t

Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

Abstract: The present application provides a method and system for identifying extreme climate events. The method acquires climate index (CI) grid data of a to-be-identified region within an extreme climate time period, and gradually expands each of event centers in the to-be-identified region, until CI values of all grids adjacent to the event center are not greater than a CI threshold. The method can obtain extreme climate impacted areas of extreme climate events in the to-be-identified region, and can further obtain CI intensities of the extreme climate events by average calculation. The method can obtain three pieces of dimension information on each of the extreme climate events in the to-be-identified region, including an extreme climate impacted area, a CI intensity and a duration. Therefore, the method can identify the extreme climate events more comprehensively.