Abstract: Systems and methods for improving magnetic resonance imaging relate to reconstructing multi-slice images based on sharing the strong structural similarities between adjacent image slices. In addition, a joint denoising method exploits these structural similarities. In part the reconstruction is based on use of a residual neural networks and denoising is achieved with a deep learning based strategy. The system and method have proved useful in both simulation and in vivo brain experiments, demonstrating significant noise reduction in all images and revealing more microstructural details in quantitative diffusion maps.

Abstract: A micromirror assembly comprises a first position-limiting part, a micromirror chip, and a second position-limiting part that are stacked. The micromirror chip includes a fastening frame, a movable part, and a first cantilever, where the movable part is connected to the fastening frame by the first cantilever. The first position-limiting part and the second position-limiting part are separately connected to the fastening frame, the first position-limiting part and the second position-limiting part have a hollow area, and the hollow areas are opposite to the movable part. The first position-limiting part and the second position-limiting part are configured to absorb shock from a collision with the micromirror chip, and a projection of a collision part of the first position-limiting part on the micromirror chip intersects with a central axis of the first cantilever.

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 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 mouth operated input system that includes a controller and a mouth operated input device that is operably coupled to at least one device so as to provide input control thereof. The mouth operated input device includes a joystick module and an activation module operably coupled thereto. The activation module includes an activation module control board and further has mounted thereto a first actuator and a second actuator. The first actuator is mounted to be engaged by a user's mouth. The second actuator is mounted to the housing of the activation module and is configured as an optical switch. The activation module is movable in all directions so as to provide movement of the joystick operably coupled thereto. The controller of the present invention includes a database that stores input data from the joystick module and the first and second actuators. Multiple modes of operation are provided by the controller.