On-demand drug delivery is becoming feasible via the design of either exogenous or endogenous stimulus-responsive drug delivery systems. Herein we report the development of gadolinium arsenite nanoparticles as a self-delivery platform to store, deliver and release arsenic trioxide (ATO, Trisenox), a clinical anti-cancer drug. Specifically, unloading of the small molecule drug is triggered by an endogenous stimulus: inorganic phosphate (Pi) in the blood, fluid, and soft or hard tissue. Kinetics in vitro demonstrated that ATO is released with high ON/OFF specificity and no leakage was observed in the silent state. The nanoparticles induced tumor cell apoptosis, and reduced cancer cell migration and invasion. Plasma pharmacokinetics verified extended retention time, but no obvious disturbance of phosphate balance. Therapeutic efficacy on a liver cancer xenograft mouse model was dramatically potentiated with reduced toxicity compared to the free drug. These results suggest a new drug delivery strategy which might be applied for ATO therapy on solid tumors.

No abstract

Lanthanum trapped Prussian blue is developed as a two-process-independent phosphate binder with the main feature of reduced lanthanum accumulation.

In order to control heat treating furnace temperature and transfer real time data, an embedded control system has been built. The system’s hardware was mainly made up of microcontroller, analog, digital and RS485 interfaces. It has the ability of exchanging data with an industrial PC via SCADA Modbus network. According to the features of control process and the hardware’s performance, the system’s software was divided into Modbus task, control task, I/O scan task, panel task, and alarm task. The RTX51 Tiny was used as software kernel. By running in cooperative multitasking manner, the five tasks handle various functions of the system. Each of the five tasks is introduced. The task scheduling is explained. It is shown that the system can meet the requirements of process control and data acquisition. With the advantages of multitasking structure, simple hardware frame, reliable network communication and low cost, the design method we mentioned is valuable for developing embedded control systems.

The P2P streaming media technology is popular and promising in recent years, to ensure the correctness of the identification method, and improve the identification rate and accuracy of the network traffic, this paper proposes a identification principle and algorithm of the P2P network traffic, and gives the overall structure of the system, Finally, puts up the system test environment. The experimental results show that the identification method of the network traffic proposed in this paper can effectively improve the identification rate and accuracy of the network traffic, the scheme has the value of further research and promotion.