The mortality rate of liver cancer is gradually increasing worldwide due to the increasing risk factors such as fatty liver, diabetes, and alcoholic cirrhosis. The diagnostic methods of liver cancer include ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), among others. The treatment of liver cancer includes surgical resection, transplantation, ablation, and chemoembolization; however, treatment still faces multiple challenges due to its insidious development, high rate of recurrence after surgical resection, and high failure rate of transplantation. The emergence of liposomes has provided new insights into the treatment of liver cancer. Due to their excellent carrier properties and maneuverability, liposomes can be used to perform a variety of functions such as aiding in imaging diagnoses, combinatorial therapies, and integrating disease diagnosis and treatment. In this paper, we further discuss such advantages.

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In order to meet the trend for flight test technology, this paper presents a monitoring expert system of flight parameters based on embedded technology , which can achieve real-time interpretation of flight data air and provide the parameters for the AHRS, engines, flight controls for aircraft crew members as well as the disposal of the special circumstances operating. It can be used for real-time collection and record a variety of digital information, control information and video information transmitting by the missiles and fiber during the fly testing process.

This paper presents the design of Unmanned Aerial Vehicles (UAVs) formation flight control laws and then the virtual Environment setup of a nice structure for close formation flight. The images of the target airplane projected on the video-camera plane of the follower airplane are captured and processed into vision information The simulation setup includes airplane dynamics, autopilots and formation keeping controller and module that creates virtual environment for the simulation of the vision software called Unity3D. The UKF is applied to the relative motion estimator due to the highly nonlinear characteristics of the problem.

For the shot put movement, in throwing process the factors that affetc the result mainly have shot put action, athletes final exertion, athletes initial speed of throwing, athletes release height and shot-putting angle and so on. And this paper had a research on the choice of angle parameter of release in throwing process that affected the result of throwing shot put in the circumstances of certain initial speed of throwing and release height.The first it had built mathematical modeling of motion trajectory in the process of throwing the shot put, it analyzed the relationship model of the initial speed of throwing, release height and shot-putting angle. Secondly it understood that the scientific change of throwing angle can significantly improve the shot put throwing performance from the relationship model in the circumstances of certain initial speed of throwing and release height. This article was based on the research of angle parameter of throwing the shot put to provide a theoretical basis of the angle parameter of throwing the shot put of domestic shot-putter in peacetime training and competition. And the related data from the game and training of domestic excellent shot-putter was combined with the mathematical model to test and verify the rationality of the mathematical model and provide the scientific guarantee for domestic shot put movement to raise the level of sports.

In allusion to non-exactness edge positioning in the process of place a three-dimensional model, a method of multi-scale wavelet transfer is applied to obtain edge signals from satellite image and perform pixel dot correction, which is proved to give prominence to the landmark edge curve without avoiding sacrificing the precision position of the target landmark edge .This method, with fixed dot correction, makes it more convenient and more precisely to settle down edge positioning in the process , in order to place a three-dimensional model.

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A critical limitation for the current use of Unmanned Aerial Vehicles (UAVs) is represented by the lack of aerial refueling capabilities. This paper describes the results of an effort on the modeling of the refueling soft hose realized by FEM techniques and on the algorithms of the docking control. The algorithms of the docking maneuver is based on Machine Vision (MV).The simulation results with a vision technique capable of estimating the drogue position is presented. Simulation results suggest the proposed algorithm performs the same accuracy with extremely fast speed compared with the current employed algorithms.