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Objective To highlight the impact of behavioral and non-behavioral factors on cardiovascular health, disease prevention and management. Methods Cox regression and forest plots were used to assess and demonstrate the relationship between their behavioral and non-behavioral factors and cardiovascular disease (CVD) risk in a study population of 20 745 people at high cardiovascular risk from Zhejing province. Apriori algorithm was used to analyze the correlation between behavioral factors and non-behavioral factors for people with at least one of the greatest risk behavioral factors. Results The incidence of cardiovascular risk in Zhejiang province was positively related to age and inversely related to education level of target population. The higher risk was identified in in male and population in urban citities as compared to female and the people in rural areas; The risk was positively related to smoking intensity and showed a U-shaped association with alcohol intake; The incidence was lowest in those who were mainly standing during routine work; The risk was lower in those who had a clear distinction between busy and idle farming activity in farmers; Men who were engaged in general physical labor and never smoked nor drank high dose of alcohol; Women who never smoked and drank, but did not work and at home were important factors related to the higher cardiovascular risk rate. Conclusions There are a wide range of factors affecting the high-risk population of cardiovascular disease, and there is a certain correlation among these factors.

To solve the problem of artificial potential field algorithm(APF) being liable to fall into local minimum，this paper presents a strategy based on angle of rotating speed vectors to accurately locate the position of jump point.Combined with improved APF,the RRT based on transition of angle different of rotating speed vectors(TAS-RRT)can be used to path planning dynamicly. Firstly, artificial potential field algorithm is used in obstacle avoidance motion planning. When falling into local minimum,the sampling strategy of the basic RRT is improved to adaptively seek the target point and the connection mode of the local planner is adjusted to change exploration rate of the tree,so that the search process can be made to jump out of the attractive areas of local minimum point quickly.In addition, APF will be applied again when the the sampling point meets the stop condition of angle of rotating speed vectors. The simulation experiments show that the control precision and velocity of the motion planning are enhanced with TAS-RRT guiding the sampling nodes to the target one gradually and quickly.Besides that,the method can be applied to motion planning of different obstacle environment.

In view of problems of single monitoring information, poor flexibility and complicated wiring existed in present monitoring system for mine safety, a mobile monitoring system for mine safety based on ARM was designed. The system uses environment parameter acquisition module and USB camera to collect on-site environmental information and video information, adopts S3C6410 processor to pack the collected data and transmits the data packets to upper computer for display by WiFi, so as to control the movement of the monitoring equipment. The system can real-timely monitor areas with inconvenience into or potentially dangerous for person.

Wolfberry fruit is very popular among consumers because it is rich in nutrients. However, it is vulnerable to diseases caused by insect pest feeding and microbial pathogen infection. Pesticide application is the main approach for controlling wolfberry disease; however, various concerns have been raised regarding chemical residues in foodstuffs and consequent environmental contamination. Matrix interference is a significant challenge in trace analysis. Chromatography, coupled with MS techniques with high sensitivity and selectivity, proved to be a powerful tool for the detection of multi-pesticide residues in complex matrices. The traditional MRM mode has been gradually replaced by the dynamic MRM (dMRM) mode, which could dynamically allocate the retention time window of each target pesticide, significantly adjust the loading cycle time of multiple compounds, and improve the analysis efficiency. The QuEChERS pretreatment method, based on dispersive solid-phase extraction, has been widely used in the detection of pesticide residues in food because it is simple and rapid. In this study, a robust and high-throughput method was established for the simultaneous determination of 118 pesticide residues in wolfberry using the modified QuEChERS method, combined with gas chromatography-triple quadrupole mass spectrometry in dMRM mode. The optimal pretreatment method was determined by comparing the recovery rates obtained with different volumes of added water (5, 10, 15, and 20 mL), different extraction solvents (acetone, n -hexane, acetonitrile, and acetonitrile containing 0.1% formic acid), different extraction temperatures (normal temperature, -18 ℃ for 10 min and 20 min), water absorbent (anhydrous magnesium sulfate), and purification with primary secondary amine (PSA) and octadecylsilane (C 18 ). The results showed that 5 g samples were rehydrated with 10 mL ultrapure water, extracted with 10 mL acetonitrile, frozen at -18 ℃ for 10 min, partitioned with buffer system salt package containing 4.0 g anhydrous magnesium sulfate, 1.0 g sodium chloride, 1.0 g sodium citrate, and 0.5 g disodium citrate, purified up with 800 mg MgSO 4 , 150 mg PSA, and 150 mg C 18 . Pesticides were separated on a capillary column HP-5MS UI (30 m×0.25 mm×0.25 μm), and quantified by a matrix-matched external standard method. The results showed that the 118 pesticides exhibited good linearity in the range from 20 to 640 μg/L, with correlation coefficients R 2 ≥0.9923. The limits of detection and quantification were 0.006-28.344 μg/kg and 0.021-94.480 μg/kg, respectively. The average recoveries at four spiked levels of 0.01, 0.04, 0.10, and 0.20 mg/kg were in the range of 64.97%-126.21%, with relative standard deviations (RSDs) of 0.69%-18.86% ( n =6). The results of the matrix effect showed that 82% of the pesticides exhibited matrix enhancement effects, while others showed matrix inhibition effects. In addition, 9% of the pesticides showed a strong matrix effect, while others showed moderate or weak matrix effects. The matrix effects could be reduced by the matrix-matched standard curve method. The proposed method was employed for the analysis of 10 real samples purchased from local markets. The results demonstrated that pesticides were detected in all the samples, 22 pesticides were detected in total, and 3-12 pesticides were found in a single sample. Chlorpyrifos, fipronil, cypermethrin, pyridaben, and difenoconazole were detected at high detection rates. The captan content in a batch of samples was 1.4066 mg/kg. Thus, the optimized method is simple, fast, accurate, and reliable, and it is suitable for the routine detection and rapid screening of the multi-pesticide residues in wolfberry.