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Background In recent years, in the context of global aging, the number of patients with chronic diseases in China has increased significantly, and the the coexistence of multiple diseases has become more and more common, which seriously threatens the life safety and quality of life of the older adults in China. Objective To investigate the status of multimorbidity of older adults, and explore the relationship and pathways of action between sleep, physical activity, social network and multimorbidity of older adults, providing ideas for the effective prevention of multimorbidity and health improvement of older adults. Methods Elderly people aged≥60 years in the Community Health and Behavior of the Elderly Panel Study (CHBEPS) established by our team in 2021 were selected as the subjects of the survey, a questionnaire was used to investigate the study population, the research objects were investigated by questionnaire, and the general situation was collected by self-designed basic information collection form, IPAQ-S-C, LSNS-6 and PSQI were used to assess the physical activity, social network and sleep of the subjects. AMOS 28.0 statistical software was used to set up the structural equation model. Results A total of 3 392 valid questionnaires were collected from 3 531 people over 60 years old, with an effective recovery rate of 96.06%. The average score of physical activity was 2 426.42 (495.00, 3 060.00) MET-min/w, the average score of social network was (15.91±6.43), and the average score of sleep was (5.49±3.53). There were 788 (23.23%) older adults with insufficient social network and 353 (10.41%) older adults with fair or very poor sleep quality. The prevalence of multimorbidity among the survey respondents was 41.13% (1 395/3 392). The results of correlation analysis showed that social network was negatively correlated with sleep level (rs=-0.113, P

The robust tracking control problem of the leader‐follower multiagent systems affected by asymmetric input saturation and external disturbances is addressed in this article, by following three steps. First, an radial basis function neural network (RBFNN) is developed to estimate the external disturbances and supersaturation, where the supersaturation is induced by asymmetric saturation actuator. Second, combining with the developed radial basis function neural network, a reduced‐order observer‐based static protocol and a reduced‐order observer‐based adaptive one are designed for leader‐follower systems with un‐directed communication topology as well as those with directed communication topology, respectively. Third, some mild premises are given to guarantee the semiglobal robust leader‐follower consensus for the above mentioned two kinds of multiagent systems. Finally, the theoretical results are verified by several numerical simulations. [ABSTRACT FROM AUTHOR]

Environmental pollution control is one of the key manifestations of driving high-quality economic development. Whether different factor-biased technological progress is conducive to the reduction of environmental pollution and what role environmental regulation plays in it deserve further investigation. Based on the panel data of 30 provinces in China from 2005 to 2020, this study adopted the stochastic frontier model to measure the index of biased technological progress and used the spatial Durbin model to investigate the spatial spillover effects of labor-energy-biased technological progress and capital-energy-biased technological progress on environmental pollution, as well as the moderating effect of environmental regulation. The results showed that: (J) From 2005 to 2020, China's technological progress as a whole was biased towards the use of capital, energy, and labor conservation and was shifting towards energy conservation. © Biased technological progress could directly reduce local environmental pollution and indirectly improve the environmental quality of neighboring areas, with spatial spillover effects on the impact of environmental pollution. Among them, labor-energy-biased technological progress had a significant negative impact on local environmental pollution, and capital-energy-biased technological progress had an inhibitory effect on the environmental pollution of both local and neighboring areas and could effectively improve ' local-neighboring ' environmental quality. © Environmental regulation played a significant positive moderating effect on environmental pollution in the impact of capital-energy-biased technological progress, enhanced the inhibiting effect of capital-energy-biased technological progress on the environmental pollution of local and neighboring areas, and the two showed better adaptability, inducing technological progress to be biased towards energy conservation and stimulating the development of ' local-neighboring' environmental quality. ® Biased technological progress inhibited environmental pollution in both coastal and inland areas, but the inhibition effect was better in coastal areas than inland areas. Environmental regulation in coastal areas had a stronger moderating effect on the pollution abatement effect of biased technological progress than that in inland areas, and it was easier to induce technological progress in coastal areas to favor energy conservation to reduce environmental pollution. To enhance the pollution abatement effect of biased technological progress, it is necessary to increase the research and development of green technology innovation, encourage enterprises to adopt clean technology production, formulate reasonable environmental regulation policies, pay attention to the appropriateness of the direction of technological progress, and establish a regional cooperative mechanism. [ABSTRACT FROM AUTHOR]