Abstract: Provided are a communication network switching apparatus, a communication network switching system, and a communication network switching method. The apparatus includes a first communication network interface, a second communication network interface, a processor, a communication network switch, and a device access interface. The communication network switch is configured to switch, according to the control signal of the processor, the connection manner with the first communication network interface and the second communication network interface and connect the first communication network or the second communication network to the processor. The processor is connected to the device access interface and is configured to connect a target communication network connected through the communication network switch to a target device connected to the device access interface.

Abstract: A sensor assembly, a force detection device and method, and construction machinery, the sensor assembly comprising a connecting part used for connecting a base to be tested and a bearing part used for bearing, the bearing part being connected to the connecting part, the bearing part comprising at least two sensing units with different measuring ranges, and the at least two sensing units being arranged to have a different initial gap (b1, b2) from the connecting part, so that corresponding initial gap (b1, b2) are eliminated when a load applied to the bearing part reaches different extents. The different initial gaps (b1, b2) are eliminated by means of the load reaching a different extent, so that the sensing units with different measuring ranges can provide detection feedback in the respective working conditions in which the units have the highest measurement precision and thereby ensure the accuracy of detection results.

Abstract: A computer-implemented method for a service mesh to simulate and address a situation in which there are several transactions among services with an asynchronous relationship between the services is provided. The computer-implemented method includes identifying that the situation occurs with a response provided to a user upon a user invocation of one of the services, analyzing the situation to determine that the asynchronous relationship between the services caused an error in at least one of the several transactions, recording data of a next user invocation of the one of the services, modifying the data of the next user invocation of the one of the services to correct the error and to thereby generate modified data, simulating an execution of the next user invocation of the service using the modified data and confirming that the modified data corrects the error based on results of the simulating.

Abstract: A system, method, and device for visualizing network topology are disclosed. The method includes (i) automatically generating a network topology visualization of network assets for a network, and (ii) grouping the network assets into a plurality of groupings based on a set of user selected distinct criteria.

Abstract: A simulation device for magnetic closing of flap valve is disclosed, which includes a worktable, a driving mechanism for driving the worktable to rotate, a valve seat, a magnetic valve cover movably connected with the valve seat, a first magnet for repelling the magnetic valve cover, a cylinder, a lifting equipment for driving the cylinder to rise and fall. When the cylinder is inserted into the valve seat driven by the lifting equipment, the cylinder prevents the closure of the magnetic valve cover. When the cylinder is out of contact with the magnetic valve cover driven by the lifting equipment, the magnetic valve cover is closed, and the worktable in the simulation device can rotate and turn over, so that the closing process of flap valve (valve seat and valve cover) in any direction of deep drilling coring under the action of magnetic force is simulated.

Abstract: A gene chip includes a chip carrier, a plurality of DNA nanoballs assembled on the chip carrier, and a polymer film formed on the chip carrier and wrapping the DNA nanoballs. The polymer film includes at least one of a film of a positively charged polymer, a film of a positively charged polymer which is modified, a film of a zwitterionic polymer, and a composite polymer film. The composite polymer film is formed by a layer-by-layer self-assembly process of a positively charged polymer and a negatively charged polymer. The gene chip has good sequencing quality and different functions can be achieved by coating with different polymers, such as the chip surface rapidly drying out and surface non-specific adsorption. A method of preparing a gene chip is further disclosed.

Abstract: Provided are an antibody having effective neutralizing activity against RSV or an antigen-binding fragment thereof. The provided anti-RSV antibody or antigen-binding fragment thereof can be used as a drug for treating or preventing RSV infection or symptoms related to RSV infection. The provided RSV antibody, after humanization, can bind RSV-F protein with high affinity. In addition, experiments show that it is significantly better than palivizumab at providing protection against RSV challenge.

Abstract: The present disclosure relates to antibodies and antibody derivatives that bind to MSLN and methods of using the same. In certain embodiments, the antibody or antibody derivative disclosed herein comprises a single domain antibody that binds to MSLN.

Abstract: The invention relates to a molecular peptide mutant with a high ester bond formation efficiency, the amino acid sequence of which is as shown in SEQ ID NO: 1. The invention introduces mutations at three sites on the basis of not affecting the spatial structure of Catcher, and through three mutations, obtains the Catcher mutant EBCatcher, which significantly improves the stability of the Catcher in water solution and can improve the binding efficiency to EBTag.

Abstract: Disclosed herein are combined devices and methods of manufacturing such combined devices. The combined devices disclosed herein include an analyte sensor including a sensor probe; an infusion set hub including a cannula; and a flexible base. The analyte sensor and infusion set hub are attached to the flexible base such that movement of one of the analyte sensor and the infusion set hub is substantially not transferred to the other one of the analyte sensor and the infusion set hub.

Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det

Abstract: The invention relates to a molecular peptide mutant, the amino acid sequence of which is as shown in SEQ ID NO: 1. In the invention, SpyCatcher is designed and modified to obtain a molecular peptide SpyCatcher-21 with stimulus response to pH on the basis of not affecting the formation of isopeptide bonds, and Pro is introduced into a key loop of the SpyCatcher-21 through analysis of the crystal structure to reduce the flexibility of the loop and obtain a mutant SpyCatcher-21_A82P, which can raise ligation efficiency with SpyTag. The SpyCatcher-21_A82P can be used to achieve double-enzyme catalysis according to objective needs by changing the pH of the environment to obtain different degrees of coupling, or obtain a three-enzyme coupled catalytic system through electrostatic interaction with a positively charged enzyme.

Abstract: The present disclosure provides a method for increasing a methionine content in grains by gene knockout. A maize ZmMETS2 gene is knocked out by a CRISPR/Cas9 technology, and it is found that the methionine content in maize grains is increased to a certain extent after the gene is knocked out. In the present disclosure, the CRISPR/Cas9 target site of the maize ZmMETS2 gene is designed and a function of the gene is found to significantly affect the methionine content. This provides a reference for CRISPR researches of the gene in maize and other crops, and provides a theoretical basis for methionine metabolism of the maize and other crops. Accordingly, the deficiency of human amino acid nutrition is alleviated by increasing the methionine content of transgenic plants.

Abstract: The present invention provides a method for producing a manganese-doped nickel molybdate electrode material including mixing a nickel salt solution with a manganese salt solution to form a mixture; adding a molybdate solution into the mixture and being subject to a thermal reaction; and obtaining the manganese-doped nickel molybdate electrode material after washing and drying of the reaction product. The nickel salt includes one or more of nickel nitrate, nickel chloride, and nickel acetate; the manganese salt includes one or more of manganese chloride, manganese nitrate, and manganese sulfate; and the molybdate includes one or more of sodium molybdate or ammonium molybdate. The present method utilizes a single reaction to produce a Mn-doped NiMoO4 electrode material, which does not require using nickel molybdate as an intermediate product. The method simplifies the preparation process and makes it easy to be adjusted, thereby improving the electrochemical properties of the electrode material.

Abstract: Disclosed is a quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method, comprising: using three cameras having different wavebands to obtain multispectral weld pool images, and respectively performing pre-processing and edge extraction on the weld pool images having the different wavebands obtained at a same moment by the three cameras; establishing a quaternion-based multispectral weld pool image edge model; extracting low-frequency features after a quaternion discrete cosine transform; using a quaternion-based multi-degree-of-freedom neuron network to perform classification, training and recognition on edge features of the multispectral weld pool images. Compared to traditional means, the present invention has multiple recognition information sources, strong anti-interference capabilities and high recognition accuracy.

Abstract: A composite motor having high-precision positioning, comprising: a housing (1), a rough positioning assembly, a hollow output shaft (2), a fine positioning assembly, a power switching apparatus and a controller (6). A stepper motor (3) in the rough positioning assembly is responsible for rough positioning of the composite motor, an annular travelling wave ultrasonic motor in the fine positioning assembly is responsible for tail end fine positioning of the composite motor, and the controller (6) implements power output switching between the annular travelling wave ultrasonic motor and the stepper motor (3). The composite motor effectively solves the problem that annular travelling wave ultrasonic motors which operate continuously for a long time have a short service life, and ensures high-precision positioning while also extending motor service life.

Abstract: Disclosed is a quaternion multi-degree-of-freedom neuron-based multispectral welding image recognition method, comprising: using three cameras having different wavebands to obtain multispectral weld pool images, and respectively performing pre-processing and edge extraction on the weld pool images having the different wavebands obtained at a same moment by the three cameras; establishing a quaternion-based multispectral weld pool image edge model; extracting low-frequency features after a quaternion discrete cosine transform; using a quaternion-based multi-degree-of-freedom neuron network to perform classification, training and recognition on edge features of the multispectral weld pool images. Compared to traditional means, the present invention has multiple recognition information sources, strong anti-interference capabilities and high recognition accuracy.

Abstract: A composite motor having high-precision positioning, comprising: a housing (1), a rough positioning assembly, a hollow output shaft (2), a fine positioning assembly, a power switching apparatus and a controller (6). A stepper motor (3) in the rough positioning assembly is responsible for rough positioning of the composite motor, an annular travelling wave ultrasonic motor in the fine positioning assembly is responsible for tail end fine positioning of the composite motor, and the controller (6) implements power output switching between the annular travelling wave ultrasonic motor and the stepper motor (3). The composite motor effectively solves the problem that annular travelling wave ultrasonic motors which operate continuously for a long time have a short service life, and ensures high-precision positioning while also extending motor service life.

Abstract: A smart acoustic information recognition-based welded weld impact quality determination method and system, comprising: controlling a tip of an ultrasonic impact gun (1) to perform impact treatment on a welded weld with different treatment pressures, treatment speeds, treatment angles and impact frequencies, obtaining acoustic signals during the impact treatment, calculating feature values of the acoustic signals, and constructing an acoustic signal sample set including various stress conditions; marking the acoustic signal sample set according to impact treatment quality assessment results for the welded weld; establishing a multi-weight neural network model, and using the marked acoustic signal sample set to train the multi-weight neural network model; obtaining feature values of welded weld impact treatment acoustic signals to be determined, inputting the feature values into the trained multi-weight neural network model, and outputting determination results for welded weld impact treatment quality to be det

Abstract: An antenna structure includes a metal frame, at least one feed source, and a feed portion. The metal frame includes at least one radiating portion and at least one slot. The at least one slot is disposed in the at least one radiating portion or adjacent to the at least one radiating portion. The at least one feed source and the at least one radiating portion form a first antenna. The feed portion and the at least one slot form a second antenna. The at least one feed source supplies an electric current for the first antenna, thereby exciting a first working mode and generating a radiation signal in a first frequency band. The feed portion spans the at least one slot to supply the electric current for the second antenna, thereby exciting a second working mode and generating a radiation signal in a second frequency band.