Significance: The development of chemotherapeutic drugs for cancer treatment has been limited by problems such as adverse side effects and inefficient performance of the drugs. To deliver multiple anticancer drugs for accurate and synergistic liver cancer treatment, a Pt(II) metallacycle-based drug delivery system, with endogenous redox and nitric oxide stimuli responsiveness and two chemotherapeutic agents is designed via the orthogonal self-assembly strategy. In vitro studies demonstrate that this system has good ability to deliver hydrophobic anticancer drug doxorubicin to HepG2 liver cancer cells. It also efficiently inhibits tumor cell growth for enhanced liver cancer treatment. This study provides an opportunity for the further design of metallacycle-based drug delivery systems for cancer therapy.

Purpose: – The purpose of this paper is to design a special automatic redundant robot painting system (RRPS), which can automatically navigate and paint in the long non-regular duct. Design/methodology/approach: – The RRPS is designed with three subsystems: a redundant robot, a spraying system and a control and safety system. Based on the modular design theory, the robot falls naturally into a mobile platform, a 4-DOF location mechanism and a 10-DOF manipulator. The restriction of the distance between the links and the duct axis is used to plan the trajectory of the manipulator so that it would not collide with the duct. The restriction model is constructed by minimizing the sum of the weighed distances between the duct axis and the special points. Findings: – A fully working prototype system has been developed. Test results show that the minimal distance between the robot joints and duct is 18 mm, and it can finish painting long non-regular ducts at the speed of 12.5 cm/s and the spraying distance of 16 cm. The quality of coating layers is good. Practical implications: – The RRPS was used to paint non-regular rectangular ducts, cylindrical ducts and long non-regular ducts. The feasibility of painting long non-regular duct is proved with the prototype implementation and successful test results. Originality/value: – The RRPS shows a novel solution that is based on the 14-DOF redundant robot design for painting long non-regular ducts which is used in airplane.

The temperature data in the chamber of ethylene cracking furnace is one of the important indexes for the combustion health of ethylene cracking furnace, and it is abnormal changes directly affect the stability and reliability of ethylene cracking furnace. Predicting the change trend of the temperature data in the chamber of ethylene cracking furnace is an important basis for timely understanding the working status of the ethylene cracking furnace. In this paper, based on support vector machine regression optimized by bayesian (BSVR), a prediction algorithm and model of the trend for the temperature data in the chamber of ethylene cracking furnace are established, and the prediction algorithm is compared with linear regression and random forest prediction algorithms to verify the effectiveness of the BSVR model. On this basis, an algorithm for abnormal change detection the temperature data in the chamber of ethylene cracking furnace is proposed. Based on the measured temperature data of ethylene cracking furnace in a petrochemical plant, simulation results show that the prediction and anomaly detection algorithms have high accuracy and effectiveness.