Spatialtemporal evolution characteristics of ozone in China and its response to urbanization.

Based on the background of urbanization in China, we used the dynamic spatial panel Durbin model to study the driving mechanism of ozone pollution empirically. We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68µg/m3, and 8.39µg/m3 elevated the year 2019 compared with 2015. ii) The Moran's I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. Empirical results suggest a twofold policy meaning: i) to explore the causes behind the distribution of ozone from the new perspective of urbanization, and to further the atmospheric environmental protection system and ii) to eliminate the adverse impacts of ozone pollution on nature and harmonious social development.

Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.

Based on the panel data of 30 provinces in China from 2011 to 2019, this paper uses a two-stage DEA model to measure regional innovation efficiency, then non-parametric test is used to examine the impact of innovation network structure and government R&D investment on regional innovation efficiency. The results show that, at the provincial level, innovation efficiency of regional R&D is not necessarily in direct proportion to the innovation efficiency in the commercialization stage. Commercialization efficiency is not necessarily high in provinces with high technical R&D efficiency. At the national level, the innovation efficiency gap between our country's R&D and commercialization stage is small, indicating that the development of the national innovation efficiency is more and more balanced. Innovation network structure can promote the R&D efficiency, but has no significant effect on the commercialization efficiency. Government R&D investment helps to improve the R&D efficiency, but it is not conducive to the improvement of commercialization efficiency. The interaction between innovation network structure and government R&D investment will have compound effects on regional innovation efficiency; the region with underdeveloped innovation network structure can increase the government R&D investment to make it have a higher level of R&D. This paper provides insights into how to improve innovation efficiency in different social networks and policy environments.

Financial development, technological innovation and urban-rural income gap: Time series evidence from China.

The main purpose of the paper is to investigate the relationship between technological innovation and income inequality for China based on the financial Kuznets curve (FKC) hypothesis. The study uses time-series data from 1985 to 2019. We employ the Johansen cointegration, ARDL model and VECM Granger causality techniques to analyze the links between the variables. We also use the DOLS, FMOLS and CCR mechanisms to estimate the long-run parameters. The paper finds that the FKC is valid for China's economy in the long run. Technological innovation positively affects the urban-rural income gap, while there is an inverted-U shaped between financial development and the urban-rural income gap. The relationship between financial development and the urban-rural income gap is bi-directional causality. Technological innovation and the urban-rural income gap cause each other. Empirical results suggest a twofold policy meaning: i) to further the financial system and ii) to eliminate the adverse impacts of technological innovations on income distribution.

Hypertension Prevalence, Awareness, Treatment, and Control and Their Associated Socioeconomic Factors in China: A Spatial Analysis of A National Representative Survey.

OBJECTIVE: We aimed to investigate and interpret the associations between socioeconomic factors and the prevalence, awareness, treatment, and control of hypertension at the provincial level in China. METHODS: A nationally and provincially representative sample of 179,059 adults from the China Chronic Disease and Nutrition Surveillance study in 2015-2016 was used to estimate hypertension burden. The spatial Durbin error model was fitted to investigate socioeconomic factors associated with hypertension indicators. RESULTS: Overall, it was estimated that 29.20% of the participants were hypertensive nationwide, among whom, 34.32% were aware of their condition, 27.69% had received antihypertensive treatment, and 7.81% had controlled their condition. Per capita gross domestic product (GDP) was associated with hypertension prevalence (coefficient: -2.95, 95% CI: -5.46, -0.45) and control (coefficient: 6.35, 95% CI: 1.36, 11.34) among adjacent provinces and was also associated with awareness (coefficient: 2.93, 95% CI: 1.12, 4.74) and treatment (coefficient: 2.67, 95% CI: 1.21, 4.14) in local province. Beds of internal medicine (coefficient: 2.66, 95% CI: 1.08, 4.23) was associated with control in local province. Old dependency ratio (coefficient: -3.58, 95% CI: -5.35, -1.81) was associated with treatment among adjacent provinces and with control (coefficient: -1.69, 95% CI: -2.42, -0.96) in local province. CONCLUSION: Hypertension indicators were not only directly influenced by socioeconomic factors of local area but also indirectly affected by characteristics of geographical neighbors. Population-level strategies should involve optimizing supportive socioeconomic environment by integrating clinical care and public health services to decrease hypertension burden.

Rapid Identification of Mixed Enteropathogenic Bacteria by Means of Au Nanoparticles@Bacteria Using Portable Raman Spectrometer.

Rapid detection of food-borne pathogens is the most critical and urgent issue among all the current food safety problems. As enhanced substrate, nanoparticles are widely used in surface enhanced Raman scattering (SERS) because of unique optical and physicochemical properties. In this study, Au nanoparticles with monodisperse and good reproducibility were synthesized by using sodium citrate reduction method. Applying Au nanoparticles sol as enhanced substrate, a portable Raman spectrometer had been applied for rapid detection of single and mixture pathogenic bacterial contamination by SERS. The results indicated that Escherichia coli, Salmonella typhimirium, Shigella flexner and Staphylococcus aureus showed specific Raman phenotypes at 600∼1700 cm-1. Generally, different bacteria could be easily and instantly recognized by its Raman phenotypes. The PC-LDA classification model was set up by combined bacterial Raman phenotypes with the multivariate statistical analysis. With the short-time inoculation, four enteropathogenic bacteria could be rapidly, precisely, sensitively and specifically identified. Furthermore, the model also had a good ability to predict the mixed contamination. This research provides the possibility of rapid detection in the food and biomedical fields.

Vegetable and Fruit Consumption among Chinese Adults and Associated Factors: A Nationally Representative Study of 170,847 Adults.

OBJECTIVE: This study examined vegetable and fruit (VF) consumption rate and its associated factors among Chinese adults. METHODS: Nationally representative data from the 2013 China Chronic Disease Surveillance survey were used. Dietary intake data, including VF consumption during the last 12 months, were collected. All analyses were weighted to obtain nationally representative estimates. Associations between VF consumption and other factors (e.g., meal frequency and physical activity) were examined through logistic regression analysis. RESULTS: The average fruit consumption was 102.3 g/day (95% CI: 97.0-107.6) and the average vegetable consumption was 350.6 g/day (95% CI: 339.3-361.8). Over half (53.2%, 95% CI: 50.9-55.4) of Chinese adults met the VF consumption of 400 g/day recommended by the World Health Organization (WHO). Rural residents had a higher prevalence of low VF consumption rate than urban residents [49.20% (95% CI: 46.2%-52.2%) vs. 44.0% (95% CI: 41.7%-46.3%) P < 0.01]. Old age (OR = 1.01, 95% CI: 1.00-1.01), low educational level, low income, minority ethnicity (OR = 1.41, 95% CI: 1.15-1.74), underweight (OR = 1.17, 95% CI: 1.03-1.33), single marital status (OR = 1.20, 95% CI: 1.08-1.33), low health literacy, irregular breakfast (OR = 1.20, 95% CI: 1.04-1.38) or lunch (OR = 1.58, 95% CI: 1.26-1.99) habits, and no leisure-time physical activity were associated with low VF consumption. CONCLUSION: Only half of Chinese adults met the VF consumption recommended by the WHO. Low socio-economic status, irregular diet, and poor health literacy were likely associated with low VF consumption. National efforts and programs are needed to promote VF consumption.

Self-rated health and health-related quality of life among Chinese residents, China, 2010.

BACKGROUND: Self-rated health (SRH) and health-related quality of life (HRQOL) are two outcome measures used to assess health status. However, little is known about population-based SRH and HRQOL in China. METHODS: Data from the 2010 China Chronic Disease and Risk Factor Surveillance, a nationally representative sample of 98,658 adults (≥18-year-old) residing in China, were analyzed. SRH was assessed by asking "Would you say that, in general, your health is very good, good, general, poor, or very poor?" HRQOL was assessed by asking "For about how many days during the past 30 days was your health not good due to physical illnesses, injuries, or mental unhealthy?". RESULTS: Overall, 6.3 % of participants rated their health as poor or very poor. The prevalence of poor/very poor health increased with advancing age ranging from 2.0 % in the 18-24 year-olds to 14.9 % in those ≥75 years-old, while it decreased with education levels from 13.0 % in illiterates/those with some primary school education to 2.2 % in college graduates or above. Additionally, women were more likely than men to rate their health as poor or very poor (7.2 % vs. 5.4 %). The reported rate of poor/very poor health was higher in western region residents compared to those in the east (7.4 % vs. 5.3 %). The mean numbers of self-reported physically unhealthy days, injury-caused unhealthy days, or mentally unhealthy days during the past 30 days were 1.48, 0.20, and 0.54, respectively. Older adults had more physically unhealthy days than the younger ones ranging from 2.92 days in those ≥ 75 year-old to 0.95 days in 18-24 year-olds. Women had more physically unhealthy days and mentally unhealthy days than men (1.72 vs. 1.23; 0.62 vs. 0.46, respectively). The highest mean number of physically unhealthy days (2.32) was reported by illiterates or those with some primary school education. The highest mean number of mentally unhealthy days (0.86) reported by college graduates or above. CONCLUSIONS: Substantial variations existed in SRH and HRQOL among age groups, gender groups, education groups, and across regions in China. Considering these disparities will be important when developing health policies and allocating resources.

[Self-rated health status among Chinese residents, China, 2010].

OBJECTIVE: To investigate the self-rated health status among Chinese residents in 2010. METHODS: Data was from the Non-communicable Disease & Risk Factor Surveillance in China, 2010. A total of 98 638 adults aged ≥ 18 years were included in the study. Self-rated health was assessed by four questions: (1) Would you assess your health status as very good or good, general (not good/not poor), poor or very poor? (2) How many days was your health not good for physical illness during the past 30 days? (3) How many days was your health not good for injury during the past 30 days? (4) How many days was your health not good for mental illness, which include stress and problem with emotions depression during the past 30 days? After being weighed according to complex sampling scheme and post-stratification, the sample was used to estimate the prevalence of self-rated health. The Rao-scott χ(2) test with different samples was adopted for comparison among groups. RESULTS: In total, 57.5% (95%CI:55.5%-59.5%) of the participants rated their health as being either very good or good, 36.2% (95%CI:34.5%-37.8%) as general, and only 6.3% (95%CI:5.7%-6.9%) as poor or very poor; In different age groups and gender, the differences were statistically significant (χ(2) values were 1179.88, 85.36, both P values were < 0.05) . The reported rate of poor or very poor health increased significantly with advancing age ranging from 2.0% (95%CI:1.5%-2.4%)in 18-24 year-old group to 14.9% (95%CI:12.6%-17.2%) in ≥ 75 year-old group; Females were more likely than males to rate their health as poor or very poor , respectively (7.2%; 95%CI 6.5%-7.9% and 5.4%; 95%CI:4.9%-5.9%). During the past 30 days 18.5% (95%CI:17.1%-19.8%) of the participants was not in good health for physical illness. The reported rate of physical illness increased significantly with advancing age (χ(2) = 211.99, P < 0.01), and it was the lowest in 25-34 year-old group (15.4%; 95%CI:13.7%-17.0%), and the highest in ≥ 75 year-old group (28.3%; 95%CI:24.9%-31.6%) . It was statistically higher among females (21.1%; 95%CI:19.5%-22.6%) compared to males (15.9%; 95%CI:14.6%-17.3%) (χ(2) = 231.81, P < 0.01); the reported rates of physical illness were 17.4% (95%CI:15.3%-19.5%) among residents in the east region, 17.2% (95%CI:14.7%-19.6%) in the middle region, and 21.5% (95%CI:18.7%-24.4%) in the western region(χ(2) = 6.75, P < 0.01). During the past 30 days 2.7% (95%CI:2.3%-3.2%) of the participants was not in good health for injure. The reported rate of injure decreased significantly with advancing age (χ(2) = 25.54, P < 0.01), and it was the highest in 18-24 year-old group (3.8%; 95%CI:2.6%-5.0%), and the lowest in 35-44 year-old group (2.3%; 95%CI:1.8%-2.7%) . It was statistically higher among males (3.0%; 95%CI:2.4%-3.5%) compared to females (2.5%; 95%CI:2.1%-2.9%) (χ(2) = 8.89 P < 0.01) ; the reported rates of injure were 2.3% (95%CI:1.9%-2.7%) among residents in the east region , 2.1% (1.7%-2.4%) in the middle region, and 4.1% (95%CI:2.6%-5.6%) in the west region (χ(2) = 16.26, P < 0.01). During the past 30 days 10.0% (95%CI:8.8%-11.3%) of the participants was not in good health for mental illness. The reported rate of mental illness decreased significantly with advancing age (χ(2) = 92.14 P < 0.01), and it was the highest in 18-24 year-old group (12.9%; 95%CI: 10.6%-15.2%), and the lowest in ≥ 75 year-old group (5.7%; 95%CI: 4.4%-7.0%) .It was statistically higher among females (10.8%; 95%CI:9.5%-12.1%) than males (9.2%; 95%CI:7.9%-10.5%) (χ(2) = 21.59, P < 0.01). CONCLUSION: The self-rated health status among Chinese residents was good in 2010. Substantial variation exists in self-rated health status across age groups, between genders, and across regions. Considering these disparities will be important for developing health policy and allocating resources.

Nitrogen-doped porous carbon nanosheets as low-cost, high-performance anode material for sodium-ion batteries.

Between the sheets: Sodium-ion batteries are an attractive, low-cost alternative to lithium-ion batteries. Nitrogen-doped porous carbon sheets are prepared by chemical activation of polypyrrole-functionalized graphene sheets. When using the sheets as anode material in sodium-ion batteries, their unique compositional and structural features result in high reversible capacity, good cycling stability, and high rate capability.

[Leisure-time physical activity and sedentary behaviors among Chinese adults in 2010].

OBJECTIVE: To understand the prevalence of participation in leisure-time physical activity, and sedentary behaviors among Chinese adults. METHODS: Data from Chinese Chronic Disease Surveillance (2010) was used. Among adults aged 18 years old and over, the information on frequency and duration of occupational activity, house chores, commuting and leisure time activity was collected by an interview with Global Physical Activity Questionnaire (GPAQ). The time spent on watching TV, reading, using computers or playing games after work was also surveyed. This present study only analyzed the percentage of participating in leisure time moderate or vigorous intensity physical activity at least 10 minutes three days per week and the time spent on TV, reading, using computer and playing games during after hours among Chinese adults of 98 649 subjects. RESULTS: 11.9% (95%CI: 10.5% - 13.3%) of all adults took part in leisure time moderate or vigorous intensity physical activity at least 10 minutes for three days per week, with-group the percentage highest among age-group 18 - 24 (15.6%, 95%CI: 10.5% - 13.3%) and lowest among age 25 - 34 (9.9%, 95%CI: 8.0% - 11.7%) and 75 years old and over (9.9%, 95%CI: 8.2% - 11.6%) (P < 0.01). The age related change showed a double-peak curve. The percentage was higher in male (13.1%, 95%CI: 11.6% - 14.6%) than in female (10.6%, 95%CI: 9.3% - 12.0%) (P < 0.01). Among the populations engaged in diverse occupations, the lowest percentage was detected among those in farming, forestry, husbandry and fishing (4.2%, 95%CI: 3.4% - 4.9%). Higher percentage was found among the residents lived in urban areas (19.9%, 95%CI: 17.4% - 22.5%) than in rural areas (8.2%, 95%CI: 6.7% - 9.8%) (P < 0.01), and higher in the east area (14.8%, 95%CI: 11.9% - 17.6%) compared to that in central (9.7%, 95%CI: 8.1% - 11.3%) or in west areas (10.3%, 95%CI: 8.4% - 12.3%) in China (P < 0.01). Furthermore, (2.7 ± 2.0) hours per day was spent in sedentary behaviors, such as watching TV, reading, using computers or playing games during after hours. Those aged 18 - 24 years-old spent most time (3.8 ± 2.6) hours per day in sedentary behaviors and the time reduced with age (P < 0.01). More time on Sedentary behaviors were taken by male (2.9 ± 2.1 hours per day) than by female ((2.6 ± 1.9) hours per day) (P < 0.01), with more hours spent in urban ((3.3 ± 2.2) hours per day) than that in rural ((2.5 ± 1.9) hours per day) (P < 0.01). No difference was detected among the residents lived in east ((2.9 ± 2.1) hours per day), central ((2.7 ± 2.0) hours per day) and west area ((2.6 ± 2.0) hours per day) (P > 0.05). CONCLUSION: The percentage of taking part in moderate and vigorous activity during leisure time was generally low. Average time spent in after hours sedentary behaviors was long.

Low-cost and facile one-pot synthesis of pure single-crystalline ε-Cu(0.95)V2O5 nanoribbons: high capacity cathode material for rechargeable Li-ion batteries.

Pure single-crystalline ε-Cu(0.95)V(2)O(5) nanoribbons have been successfully synthesized via a facile one-pot solvothermal route using low-cost raw materials. The obtained materials can react electrochemically with 2.64 Li in a reversible fashion and thus greatly expands the range of cathode choices.