Abstract: The invention discloses a lifting mechanism. The lifting mechanism includes a first pivot element and a second pivot element. The first pivot element has a pivot hole and includes a first pivot portion. The pivot shaft is pivoted to the pivot hole, and the first pivot portion and the second pivot portion are configured to be pivoted to the same slide groove.

Abstract: A wrench comprises a handle, a tube, an actuating-part and a scale mark area; the handle comprises a hollow rotation handle, a movable plug, a screw rod drive component and a locking component, an end of the hollow rotation handle engages with a tail end portion of the scale mark area by rotation, the screw rod drive component comprises a rotary portion and a screw rod portion, and an adjusting threaded-sleeve is sleeved over the screw rod portion; a tube positioning piece engaging with the rotary portion by rotation is provided on the rotary portion; the locking component comprises a handle insert and positioning pins, the handle insert is installed on the rotary portion via a key and an outer surface of the handle insert is connected with an inner surface of the hollow rotation handle, and positioning pins are provided at a front end portion of the movable plug.

Abstract: The present disclosure relates to the technical field of screwdrivers. Specifically, the torque screwdriver includes a screwdriver handle and an auxiliary scale ring; a screw rod is arranged inside the screwdriver handle; a bearing is arranged on a side surface of the screw rod; a main scale pipe is connected to an outer side of the bearing; an outer side of the main scale pipe is connected with the auxiliary scale ring; and a nut is arranged on an outer side of the auxiliary scale ring. During use of the device, when the screwdriver reaches a fixed torque, the device will slip if the device is continued to be rotated, so as to protect a screw and avoid the screw from being damaged.

Abstract: A wrench comprises a handle, a tube, an actuating-part and a scale mark area; the handle comprises a hollow rotation handle, a movable plug, a screw rod drive component and a locking component, an end of the hollow rotation handle engages with a tail end portion of the scale mark area by rotation, the screw rod drive component comprises a rotary portion and a screw rod portion, and an adjusting threaded-sleeve is sleeved over the screw rod portion; a tube positioning piece engaging with the rotary portion by rotation is provided on the rotary portion; the locking component comprises a handle insert and positioning pins, the handle insert is installed on the rotary portion via a key and an outer surface of the handle insert is connected with an inner surface of the hollow rotation handle, and positioning pins are provided at a front end portion of the movable plug.

Abstract: A wrench comprises a handle, a tube, an actuating-part and a scale mark area; the handle comprises a hollow rotation handle, a movable plug, a screw rod drive component and a locking component, an end of the hollow rotation handle engages with a tail end portion of the scale mark area by rotation, the screw rod drive component comprises a rotary portion and a screw rod portion, and an adjusting threaded-sleeve is sleeved over the screw rod portion; a tube positioning piece engaging with the rotary portion by rotation is provided on the rotary portion; the locking component comprises a handle insert and positioning pins, the handle insert is installed on the rotary portion via a key and an outer surface of the handle insert is connected with an inner surface of the hollow rotation handle, and positioning pins are provided at a front end portion of the movable plug.

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 automatic detection and recovery device for residual agricultural mulch film, and a method of using the device, comprising a quadcopter, a wheeled robot (9), and a host computer (8); the quadcopter is provided with a controller (1), a near infrared water content analyzer, and a WiFi module that are used to measure water content in soil and communicate with the host computer; the wheeled robot (9) comprises a water sprinkling device (2), a soil grabbing device (3), a sifting device (4), a delivery device (5), a recognition device (6), and a sorting device (7).

Abstract: The present invention relates to a recombinant fusion protein comprising a fragment of the cardioprotective protein neuregulin-1 (NRG-1) fused to a monoclonal antibody (mAb) backbone and to a method of treating a disease or condition in a subject in need thereof comprising administering a therapeutically effective amount of the recombinant fusion protein or the pharmaceutical composition comprising the recombinant fusion protein disclosed herein.

Abstract: A fully-automated sushi making apparatus, comprising a fixed plate (1), a container module (2), an annular shielding module (3), a center shielding module (4), a dispensing module (7), a ring-shaped isolation module (5), a cylindrical pushing module (6), an extraction module (8), a recovery module (9), and a controller (10). The controller controls vertical drive units (52, 62, 81) and horizontal drive units (31, 41, 51, and 61) to drive the connected annular shielding module, ring-shaped isolation module, and cylindrical pushing module to perform layerwise removal of rice from the container module, then drives the center shielding module, the dispensing module, and the cylindrical pushing module to add sushi ingredients into the hollow center of the rice removed from the container module, and finally drives the extraction module, the annular shielding module, and the center shielding module to move in unison to extract the completed sushi.

Abstract: A smoke and dust treatment apparatus for welding, said apparatus comprising a polishing and dust extraction module and a smoke and dust purification module. The polishing and dust extraction module comprises a double-layer dust extraction cover (3), a protective cover (2), an industrial brush (4), a first air guide portion, a second air guide portion (24) and a drive motor (22), the drive motor (22) driving the industrial brush (4) to rotate at high speed to perform polishing. During welding and polishing, a mechanical arm (6) drives the double-layer dust extraction cover (3), and a suction hole (20) of the double-layer dust extraction cover (3) and a suction guide hole (19) on the industrial brush (4) simultaneously take in toxic gas and debris such as iron filings.

Abstract: The present invention relates to a recombinant fusion protein comprising a fragment of the cardioprotective protein neuregulin-1 (NRG-1) fused to a monoclonal antibody (mAb) backbone and to a method of treating a disease or condition in a subject in need thereof comprising administering a therapeutically effective amount of the recombinant fusion protein or the pharmaceutical composition comprising the recombinant fusion protein disclosed herein.

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 smoke and dust treatment apparatus for welding, said apparatus comprising a polishing and dust extraction module and a smoke and dust purification module. The polishing and dust extraction module comprises a double-layer dust extraction cover (3), a protective cover (2), an industrial brush (4), a first air guide portion, a second air guide portion (24) and a drive motor (22), the drive motor (22) driving the industrial brush (4) to rotate at high speed to perform polishing. During welding and polishing, a mechanical arm (6) drives the double-layer dust extraction cover (3), and a suction hole (20) of the double-layer dust extraction cover (3) and a suction guide hole (19) on the industrial brush (4) simultaneously take in toxic gas and debris such as iron filings.

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: An automatic detection and recovery device for residual agricultural mulch film, and a method of using said device, comprising a quadcopter, a wheeled robot (9), and a host computer (8); the quadcopter is provided with a controller (1), a near infrared water content analyzer, and a WiFi module that are used to measure water content in soil and communicate with the host computer; the wheeled robot (9) comprises a water sprinkling device (2), a soil grabbing device (3), a sifting device (4), a delivery device (5), a recognition device (6), and a sorting device (7).

Abstract: A fully-automated sushi making apparatus, comprising a fixed plate (1), a container module (2), an annular shielding module (3), a center shielding module (4), a dispensing module (7), a ring-shaped isolation module (5), a cylindrical pushing module (6), an extraction module (8), a recovery module (9), and a controller (10). The controller controls vertical drive units (52, 62, 81) and horizontal drive units (31, 41, 51, and 61) to drive the connected annular shielding module, ring-shaped isolation module, and cylindrical pushing module to perform layerwise removal of rice from the container module, then drives the center shielding module, the dispensing module, and the cylindrical pushing module to add sushi ingredients into the hollow center of the rice removed from the container module, and finally drives the extraction module, the annular shielding module, and the center shielding module to move in unison to extract the completed sushi.

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: A cell selection method includes: when a terminal camps on a first network that does not support a voice service, and voice service needs to be initiated or received, falling back, by the terminal in a circuit switched fallback (CSFB) manner, to a second network that supports the voice service when the terminal fails to establish the voice service with the second network, saving, by the terminal, a location identifier of the first network and a location identifier of the second network to a blacklist. The blacklist is used by the terminal to choose to camp on a cell of the second network when performing CSFB subsequently.