Abstract: Disclosed are a laser assisted cold spray repair device and process method for aviation-grade aluminum alloy structural parts. In the present disclosure, a laser device, a high-pressure gas source, a powder feeder, a water cooling system, a reflector, an integrated spray gun, a mobile platform, an air pipe, a powder-gas mixed channel, a lower-pressure powder-gas powder feeding port, an air pressure regulating valve, a high-pressure airflow heater and a powder pipe are included. The powder spray gun and a heating laser source are connected coaxially, and a processing zone of the mobile platform is provided with a specimen to be processed. In the present disclosure, fatigue properties of repaired aviation-grade aluminum alloy specimens are restored to an original state before damage and satisfy service requirements.

Abstract: Disclosed are a strengthening device and method for improving fatigue, wear and corrosion performance of metals. In the present disclosure, a femtosecond laser device, an optical transmission module, an optical platform, a five-axis mobile platform, a femtosecond laser processing head, and a central processing unit are included, where laser scanning processing is completed by means of the synergy of the five-axis mobile platform and a scanning galvanometer. A femtosecond laser processing process method for regulating and controlling shock wave pressure and surface self-organizing structure characteristics is proposed by the present disclosure, where a work-hardening layer and a wear-resistant and hydrophobic micro-nano structure are prepared on a surface of the metal in one step by means of the femtosecond laser, and simultaneous improvement of the fatigue, wear and corrosion performance of the metals is achieved.

Abstract: A computer-implemented method is disclosed for training one or more machine-learned models. The method can include inputting a first image frame and a second image frame into a feature disentanglement model and receiving, as an output of the machine-learned feature disentanglement model, a state feature and a perspective feature. The method can include inputting the state feature and the perspective feature into a machine-learned decoder model and receiving, as an output of the machine-learned decoder model, the reconstructed image frame. The method can include comparing the reconstructed image frame with a third image frame corresponding with the location and the perspective orientation. The method can include adjusting one or more parameters of the machine-learned feature disentanglement model based on the comparison of the reconstructed image frame and the third image frame.

Abstract: Described herein are compositions and methods for treating cancer and autoimmune diseases.

Abstract: A computer-implemented method is disclosed for training one or more machine-learned models. The method can include inputting a first image frame and a second image frame into a feature disentanglement model and receiving, as an output of the machine-learned feature disentanglement model, a state feature and a perspective feature. The method can include inputting the state feature and the perspective feature into a machine-learned decoder model and receiving, as an output of the machine-learned decoder model, the reconstructed image frame. The method can include comparing the reconstructed image frame with a third image frame corresponding with the location and the perspective orientation. The method can include adjusting one or more parameters of the machine-learned feature disentanglement model based on the comparison of the reconstructed image frame and the third image frame.