Objective: To provide data support for AIDS prevention and control by investigating HIV testing among technician school students in Guangzhou. Methods: A total of 1 112 students were investigated with a questionnaire about AIDS knowledge, attitude, sexual behavior and HIV testing through a stratified cluster random sampling method in October 2018. A Logistic regression analysis was conducted for influencing factors of students’ HIV testing. Results: The HIV testing rate of technician school student was 10.3%. The HIV testing rate (12.1%-24.3%) of male, under 18 years of age, with monthly living expenses over 3 000 yuan and with poor family atmosphere was higher than that of the corresponding group (6.6%-8.4%), the difference were statistically significant (χ2=12.07,7.25,10.73,9.77, P<0.05). Multivariate Logistic regression analysis showed that <18 years of age, willingness to participate in relevant AIDS prevention activities, homosexuality, “support for multiple sexual partners” and having sexual behavior were associated with more HIV testing(P<0.05). Conclusion The incidence of sexual behavior of students in technician school is high while the rate of HIV testing is low, especially for male and male homosexuals.The health and education departments should strengthen students’ AIDS counseling and testing services and raise students’ awareness of AIDS risk in order to improve the coverage of students’ HIV testing.

Bone and soft tissue tumors are diverse and with complicated histologic components and significantly divergent biological behaviors.Conventional imaging examinations,such as CT,magnetic resonance imaging(MRI)and positron emission tomography(PET),are limited to the identification of anatomical structures and abnormal signals,which are difficult to meet the qualitative requirements of imaging.With the improvement of digitalization in hospitals and medical institutions,the introduction of electronic medical records and the improvement of computational power,modern intelligent medical treatment gradually evolves to the combination of human brain,big data and artificial intelligence.Researchers are committed to mining deeper image data information,and radiomics came into being.Radiomics is a method of extracting and analyzing subvisual quantitative features from medical images and quantifying tumor heterogeneity through modeling,which is of great significance in the accurate diagnosis and treatment of bone and soft tissue tumors.