BackgroundPeriodontal disease is common among adults and is associated with an increasing risk of chronic kidney disease (CKD). We aimed to investigate the prevalence and risk factors of CKD in patients with periodontal disease in China.MethodsIn the current cross-sectional study, patients with periodontal disease were included from Guangdong Provincial Stomatological Hospital between March 2011 and August 2011. CKD was defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2, the presence of albuminuria, or hematuria. All patients with periodontal disease underwent a periodontal examination, including periodontal probing pocket depth, gingival recession, and clinical attachment level by Florida Probe. They completed a questionnaire and had blood and urine samples taken. The adjusted prevalence of indicators of kidney damage was calculated and risk factors associated with CKD were analyzed.ResultsA total of 1392 patients with periodontal disease were invited to participate this study and 1268 completed the survey and examination. After adjusting for age and sex, the prevalence of reduced eGFR, albuminuria, and hematuria was 2.7% (95% CI 1.7–3.7), 6.7% (95% CI 5.5–8.1) and 10.9% (95% CI 9.2–12.5), respectively. The adjusted prevalence of CKD was 18.2% (95% CI 16.2–20.3). Age, male, diabetes, hypertension, history of CKD, hyperuricemia, and interleukin-6 levels (≥7.54 ng/L) were independent risk factors for reduced eGFR. Female, diabetes, hypertension, history of CKD, hyperuricemia, high level of cholesterol, and high sensitivity C-reactive protein (hsCRP) (≥1.03 mg/L) and TNF-α levels (≥1.12 ng/L) were independently associated with an increased risk of albuminuria. Female, lower education (

To overcome the defect of Teaching-Learning-based Optimization (TLBO) that it converges to the global optima with a relative slow speed, a modified Teaching-Learning-based Optimization (mTLBO) is proposed to enhance the convergence rate of TLBO. Then, the updation equation of rooster of Chicken Swarm Optimization (CSO) is improved to obtain modified Chicken Swarm Optimization (mCSO) to boost the global exploring capacity of CSO. Moreover, mTLBO and mCSO are hybridized to produce mTLBO-mCSO to get a comprehensive capability of fast searching and global exploring. Above all, relevant simulations are conducted using seven unimodal benchmark functions and six multimodal benchmark functions and related analyses are given for them. The simulation results reveal that mTLBO-mCSO works better or at least equal to basic algorithms for the vast majority of test functions and worse in extremely few cases.

To improve the precision and reduce the movement uncertainty of the industrial robot, a novel hybrid optimization algorithm which combines adaptive genetic algorithm with simulated annealing algorithm is proposed in this article. First, for the sake of increasing the global exploring ability of relevant individuals, the adaptive crossover and mutation operator are used in the phase of adaptive genetic algorithm. If the population optimized by adaptive genetic algorithm is trapped in the local optimal area and simultaneously meets the transformation rule, then it is consequently optimized by simulated annealing to enhance the population diversity and hunt for a better solution so that the probability of finding the global optimal solution is greatly increased. Then, corresponding experiments based on single point repeatability are conducted to acquire data and identify the structural parameters of the industrial robot. Moreover, the single point repeatability test and length test are all implemented at the same time to verify the effectiveness of the proposed method. At last, the result reveals that the proposed method is effective to identify the real structural parameters of the industrial robot, thus enormously decreasing the single point repeatability and length deviation at the same time, which extremely increases the precision and decreases the movement uncertainty of the industrial robot.

Deepening the reform of the cultural system and promoting the all-round prosperity of cultural undertakings and the rapid development of the cultural industry are vital to the realization of the goal of building a moderately prosperous society in an all-round way, to the overall layout of the cause of socialism with Chinese characteristics, and to the great rejuvenation of the Chinese nation. Public cultural services refer to the public cultural facilities, cultural products, cultural activities and other related services provided by the government with the participation of social forces for the main purpose of meeting the basic cultural needs of citizens. Hangzhou Xiacheng District is the first community public cultural service performance evaluation mechanism in China, which provides a sample for modern public cultural services in urban communities across the country, and also provides exemplary experience for promoting the modernization of community governance system and governance capacity. This study uses innovative evaluation methods to make an empirical analysis of community governance capacity in Xiacheng District of Hangzhou, and tries to find the reasonable calculation method

With the increase of China's elderly population, the pension industry will become one of the most important industries in China." The combination of Internet + and pension is still emerging, and the development trend is becoming more and more obvious. At the present stage, "Internet + pension" is a new model of pension service from concept to reality. This essay aims at exploring the practical characteristics and development model of innovative pension mode, so as to construct the innovative path of pension scenes and put forward the corresponding guarantee mechanism. Innovative model of pension scene 1.Pension scene in smart communitySmart community is a new form and concept derived from the informatization of community, which possesses important practical value and theoretical significance on the social governance at grass roots and the construction of public cultural service system. Smart community can build a safe, intelligent, convenient and comfortable living environment through community monitoring system like temperature and humidity sensor, pyroelectric infrared sensor, smoke sensor, ultraviolet sensor and PM2.5 sensor as well as technologies like facial recognition and big data analysis.Meanwhile, it can put forward advice for the personnel dynamic control in smart community.