Abstract: A recognition, monitoring, and imaging method and system are provided for a thermal ablation region based on ultrasonic deep learning. The recognition method includes obtaining original ultrasonic radiofrequency data, an ultrasonic image, and an optical image during thermal ablation; making ultrasonic radiofrequency data points and pixels in the optical image correspond in a one-to-one manner, and determining a spatial position correspondence between the ultrasonic radiofrequency data points and the optical image; determining a thermal ablation region image according to the spatial position correspondence; constructing a deep learning model according to the thermal ablation region image; superposing a thermal ablation classification image to the ultrasonic image, to determine a to-be-recognized thermal ablation image; and recognizing a thermal ablation region in the ultrasonic image according to the to-be-recognized thermal ablation image.

Abstract: A data processing method includes: sending, by a cost balancing subsystem, an authentication request about a user to a cost transfer subsystem, the authentication request requesting authentication of the user; sending, by the cost transfer subsystem according to an authentication result, a directed electronic voucher to a client terminal of the user, the directed electronic voucher being used as a payment voucher for a directed resource cost of the user; sending, by a resource subsystem according to the directed electronic voucher presented by the client terminal of the user, a payment request to the cost balancing subsystem through the cost transfer subsystem, the payment request requesting payment of the resource cost of the user; and confirming, by the cost balancing subsystem, the payment request and transferring, by the cost balancing subsystem, the resource cost of the user to the resource subsystem through the cost transfer subsystem.

Abstract: A recognition, monitoring, and imaging method and system are provided for a thermal ablation region based on ultrasonic deep learning. The recognition method includes obtaining original ultrasonic radiofrequency data, an ultrasonic image, and an optical image during thermal ablation; making ultrasonic radiofrequency data points and pixels in the optical image correspond in a one-to-one manner, and determining a spatial position correspondence between the ultrasonic radiofrequency data points and the optical image; determining a thermal ablation region image according to the spatial position correspondence; constructing a deep learning model according to the thermal ablation region image; superposing a thermal ablation classification image to the ultrasonic image, to determine a to-be-recognized thermal ablation image; and recognizing a thermal ablation region in the ultrasonic image according to the to-be-recognized thermal ablation image.

Abstract: A high-spatial-resolution ultrasonic neuromodulation method and system are provided. The method includes infusing a biological micro-nano material into the operating object by injection; aggregating the biological micro-nano material in the target region by a micro-nano manipulation method; and conducting ultrasonic neuromodulation on the target region by utilizing the ultrasound transducer and using an acoustic intensity between the first minimum acoustic intensity and the second minimum acoustic intensity. By using the method, an ultrasonic neuromodulation effect is generated only in a micro-nano material aggregation region by using a lower acoustic intensity, thereby reducing the threshold of ultrasonic neuromodulation, and greatly improving the spatial resolution of the ultrasonic neuromodulation.

Abstract: A method for fabricating a component includes receiving a first component design, calculating a plastic strain for a load case, and determining whether the plastic strain meets a target plastic strain for the load case. Responsive to determining that the plastic strain does not meet the target plastic strain for the load case the method includes calculating an elastic strain for the load case, defining a linear strain target as a function of the plastic strain, the target plastic strain, and the elastic strain, optimizing for the minimum mass of the component where a linear strain is less than the linear strain target, and outputting a second component design.

Abstract: A method and terminal for sharing programs in an internet protocol television system are provided. The method includes: a first terminal extracting content key information corresponding to program content in an IPTV system; and the first terminal generating recommended content information based on the content key information, and sending the recommended content information to a second terminal through a way of a short message or a multimedia message. With the embodiment of the present invention, sharing of programs among different terminals in the IPTV system can be achieved.