The tumor microenvironment (TME) plays a significant role in weakening the effect of cancer immunotherapy, which calls for the remodeling of TME. Herein, we fabricated a nanostructured lipid carrier (NLC) to codeliver doxorubicin (Dox) and sorafenib (Sfn) as a drug delivery system (NLC/D-S). The Sfn was expected to regulate the TME of esophagus cancer. As a result, the immune response induced by Dox-related immunogenicity cell death could be fully realized. Our results demonstrated that Sfn was able to remodel the TME through downregulation of regulatory T cells (Treg), activation of effector T cells, and relieving of PD-1 expression, which achieved synergistic effect on the inhibition of primary tumor but also subsequent strong immune response on the regeneration of distant tumor.

Objective: To make sure the feasibility with 18F FDG PET/CT to guided dynamic intensity-modulated radiation therapy (IMRT) for nasopharyngeal carcinoma patients, by dosimetric verification before treatment. Methods: Chose 11 patients in Ⅲ~ⅣA nasopharyngeal carcinoma treated with functional image-guided IMRT and absolute and relative dosimetric verification by Varian 23EX LA, ionization chamber, 2DICA of I'mRT Matrixx and IBA detachable phantom. Drawing outline and making treatment plan were by different imaging techniques (CT and 18F FDG PET/CT). The dose distributions of the various regional were realized by SMART. Results: The absolute mean errors of interest area were 2.39%±0.66 using 0.6cc ice chamber. Results using DTA method, the average relative dose measurements within our protocol (3%, 3 mm) were 87.64% at 300 MU/min in all filed. Conclusions: Dosimetric verification before IMRT is obligatory and necessary. Ionization chamber and 2DICA of I'mRT Matrixx was the effective dosimetric verification tool for primary focal hyper metabolism in functional image-guided dynamic IMRT for nasopharyngeal carcinoma. Our preliminary evidence indicates that functional image-guided dynamic IMRT is feasible.

Abstract-This paper is to address the problem about the unreasonable scheduling of school buses, which is caused by the reason that the supply and demand information cannot be real-time communicated in campus traffic. The framework of intelligent school bus system is built by data integration, information interactive technology. Using GPS technology it gets school buses and passenger location information. Then it combines GIS spatial data with student information database to refine the internal functions. The whole system writes by Java to support it running on the Android platform. The system has interactive functions such as real-time queries, sends a travel request, confirm travel information at last. This system is a custom-built campus traffic system, makes school bus real-time scheduling better. It breakthrough sets integrity evaluation module in functionality, optimized the management.

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