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Digestive tumors commonly include esophageal cancer, gastric cancer, liver cancer, pancreatic cancer. Most of which are malignant tumors. All of the tumors do strong harm to human body and seriously affect the physical and mental health of patients. With the change of modern dietary habits, the morbidity of digestive tumors is increasing year by year, and the threat to the society is increasingly intensified. Traditional treatments for digestive tumors include surgical resection, chemotherapy and radiotherapy, all of which can alleviate the symptoms to some extent, but there are still many drawbacks. Compared with traditional therapy, immunotherapy has better therapeutic effect and fewer adverse reactions. Immunotherapy is to activate the human immune system and kill tumor cells by its own immune function. In immunotherapy, CAR-T cell therapy, a kind of personalized therapy that takes effect through gene modification to obtain T cells carrying tumor antigen-specific receptor, occupies a leading position. At present, CAR-T cells have shown excellent results in the treatment of lymphoid and hematopoietic tumors, on the contrast, there are few studies on the treatment of solid tumors. In this article, we summarized the application of some CAR-T cells in solid tumors of the digestive system.

This study proposes a support vector regression (SVR)–based method to evaluate the peak floor acceleration (PFA) in a building subject to a major earthquake. Support vector machine, which constructs a hyperplane in high-dimensional space to solve multivariate problems, is well known for the outstanding performance in classification and regression. Six P-wave parameters obtained from the vertical component of the first three seconds of the acceleration time history of the ground motion, as well as the floor height and the fundamental period of the structure, are adopted as the eight input variables. With these and the support of SVR, the PFA of a specific building can be rapidly estimated to avoid the necessity of installing accelerometers on the building. The SVR model is trained on 2274 representative earthquake records from the Structure Strong Earthquake Monitoring System (SSEMS) of the Central Weather Bureau (CWB) in Taiwan and tested on 757 independent test earthquake records. As demonstrated, the accuracy of the predicted PFA, located within a one-level difference on the seismic intensity scale of Taiwan from the monitored PFA, is 95.51%. The developed algorithm can be integrated into an existing earthquake early warning system (EEWS) to provide comprehensive protection during major earthquakes.

As an engineering technology, industrial cleaning plays an increasingly important role in industrial production; The development of the cleaning industry not only provides effective technical services for the whole society, but also has become an important symbol of today’s social civilization. With the industrialization process of the country and the needs of social production and life, the application field of the cleaning industry is becoming more and more extensive. As an emerging technology, dry ice cleaning has the characteristics of high efficiency, wide application range and no pollution, and is widely used in mold, power electronics, petrochemical and automotive industries. Dry ice cleaning is an advanced and efficient industrial cleaning technology, which has advantages over other cleaning methods in terms of cleaning effect, cleaning applicability, and environmental protection.

The conventional ant colony algorithm is easy to fall into the local optimal in some complex environments, and the blindness in the initial stage of search leads to long searching time and slow convergence. In order to solve these problems, this paper proposes an improved ant colony algorithm and applies it to the path planning of cleaning robot. The algorithm model of the environmental map is established according to the grid method. And it built the obstacle matrix for the expansion and treatment of obstacles, so that the robot can avoid collision with obstacles as much as possible in the process of movement. The directional factor is introduced in the new heuristic function, and we can reduce the value of the inflection point of paths, enhance the algorithm precision, and avoid falling into the local optimal. The volatile factor of pheromones with an adaptive adjustment and the improved updating rule of pheromones can not only solve the problem that the algorithm falls into local optimum, but also accelerate the running efficiency of the algorithm in the later stage. Simulation results show that the algorithm has the better global searching ability, the convergence speed is obviously accelerated, and an optimal path can be planned in the complex environment.

The fatigue test of wind turbine blade is an important means to verify the fatigue life of wind turbine blade. This paper analyses the problems existing in the fatigue test of wind turbine blade, focuses on the excitation mode, the relationship between excitation amplitude and vibration frequency and the vibration principle, and puts forward feasible solutions in practical operation.

Aiming at the current imperfect hierarchical diagnosis and treatment system and the unreasonable spatial distribution of medical facilities. This article introduces 2SFCA model improved by the Gaussian distance decay function and multiple stage radius to evaluate the accessibility of medical facilities in Wuhan. The results indicate that: firstly, compared with the traditional 2SFCA model, the improved 2SFCA model is more sensitive to the identification of spatial accessibility, and the transition effect of the identification results is more obvious, which can accurately reflect the spatial distribution characteristics of the accessibility of medical facilities in Wuhan. Secondly, the distribution of medical facilities in Wuhan is obvious and the main factors that affect the accessibility value in different urban areas are quite different. Thirdly, the high value areas of medical facilities in the main urban area of Wuhan are mainly concentrated within the second ring line, the transition effect between the second and third ring lines is obvious, and the low value areas are mainly concentrated outside the third ring line. In the end, the main reasons for the low accessibility of the area outside the Third Ring Road are the low service quantity and low service ability of the community health service institutions and the high traffic resistance. The research results can provide a reference for the layout and planning of medical institutions in the main urban area of Wuhan.

In this paper, the thermal calculation and thermal-structural coupling analysis of the vertical machining center are carried out to obtain the theoretical values of thermal generation and thermal displacement. Combined with the thermal structure analysis of vertical machining center, sensors are placed at the key positions with large thermal displacement to measure and analyze the thermal error data, and the law of temperature and thermal deformation of machining center is found out. This research provides theoretical basis for thermal error compensation.

The paper proposes a novel geometric error identification methodology for the tilting head of five-axis machine tools using double ball bar(DBB).Firstly, based on the motion condition of the tilting head of five-axis machine tools, three measurement patterns in Y direction, X direction and Z direction are proposed respectively. Then, the relative displacement equations of two balls of DBB in three measurement patterns are established respectively on the basis of homogeneous transform matrix (HTM) and multi-body system (MBS) theory. Finally, the geometric error parameters of the tilting head are identified totally. The presented method is universal and provides a reference for the error identification for the tilting head of five-axis machine tools.

Taking certain CNC camshaft grinder as the subject its motion error analysis and modeling were studied. The movement forms and types of errors between the moving parts were analysed, the movement between coordinate systems of the adjacent bodies was used to express the movement between the two adjacent bodies, and the ideal motion equation and actual motion equation in case of errors between the adjacent bodies were set up. Actual motion equation between adjacent bodies was made and further extended to analyse arbitrary low-order body arrays, which provides a theoretical basis for studying the multi-branch CNC camshaft grinding machine error modeling. Complex multi-branch chain CNC camshaft grinder simplified was made as a simple multibody system, and corresponding body coordinate systems and motion reference coordinate systems for moving parts were established to calculate the corresponding transformation matrix between adjacent bodies. Moving parts of the machine were divided into “workpieces-bed” and “wheel-bed” two kinematic chains. The precision constraint equation of the machine is Pt = Pw in case of using errors influence, and the constraint equation was solved. It provides necessary conditions for study of CNC camshaft grinder error compensation. Results show that the machine precision is significantly improved after error compensation.