"Two Mountains concept" leading the green transformation of China's economic society.

The rapid urbanization are serious threats to global sustainable development, making the green transformation of socio-economy and industry a must for global efforts. The theory of ecological and economic harmonization in ecological economics has gained attention. However the Two Mountains concept, i.e., "Lucid waters and lush mountains are invaluable assets", has been mostly neglected as a practical demonstration of the theory. In this study an equal weights method is used to construct an index system for testing the effectiveness of the ongoing practices and demonstrations of the Two Mountains concept, and whether it can achieve the expected green transformation objectives. A total of 421 pilot cases and 208 surrounding non-pilot cases in China from 2010 to 2020 are selected for analysis. The results indicate that: (1) From 2010 to 2020, overall 98.33% of pilots show positive improvement in comprehensive effectiveness; (2) Strong evidence indicate that the positive externality of the demonstrations extends to their surrounding region, mainly manifested in the impact of industrial structure change, inspiring collaboration between cities; (3) Such ambitious green transformation has a significant impact on landscape characteristics, which emphasizes the role of landscape management and monitoring. Therefore, this study proposes an industrial integration framework to enhance the transformation of ecosystem service values, to facilitate transition to a green economy in various regions globally. It provides significant managerial insights and practical expertise. The demonstration of China's Two Mountains concept can offer reliable empirical cases to enrich the theory of ecological economics and global sustainable development.

RNA m6 A Methylation Suppresses Insect Juvenile Hormone Degradation to Minimize Fitness Costs in Response to A Pathogenic Attack.

Bioinsecticides and transgenic crops based on the bacterial pathogen Bacillus thuringiensis (Bt) can effectively control diverse agricultural insect pests, nevertheless, the evolution of resistance without obvious fitness costs has seriously eroded the sustainable use of these Bt products. Recently, it has been discovered that an increased titer of juvenile hormone (JH) favors an insect host (Plutella xylostella) to enhance fitness whilst resisting the Bt pathogen, however, the underlying regulatory mechanisms of the increased JH titer are obscure. Here, the involvement of N6 -methyladenosine (m6 A) RNA modification in modulating the availability of JH in this process is defined. Specifically, it is found that two m6 A methyltransferase subunit genes, PxMettl3 and PxMettl14, repress the expression of a key JH-degrading enzyme JH esterase (JHE) to induce an increased JH titer, mitigating the fitness costs associated with a robust defense against the Bt pathogen. This study identifies an as-yet uncharacterized m6 A-mediated epigenetic regulator of insect hormones for maintaining fitness during pathogen defense and unveils an emerging Bt resistance-related m6 A methylation atlas in insects, which further expands the functional landscape of m6 A modification and showcases the pivotal role of epigenetic regulation in host-pathogen interactions.

The association between social integration and utilization of primary health care among migrants in China: a nationwide cross-sectional study.

BACKGROUND: Migrants is a large population in China. To improve the health and wellbeing of migrants is a critical policy and social issue in China, and to enhance the utilization of primary health care by migrants is one of the most important approaches in promoting equity in health. However, there exists little research about the association between social integration and the utilization of primary health care. To address the research gap, this research aims at exploring the relation between social integration and the utilization of primary health care among migrants in China. METHODS: Using the national data from China Migrants Dynamic Survey (CMDS) in 2017, 169,989 migrants were included in this study. Social integration was measured by social communication, acculturation and self-identity, with 8 indicators. The utilization of primary health care was measured by the receiving of health education on infectious diseases (ID) and noncommunicable diseases (NCD) as well as the first visit institution when migrants were sick. After the descriptive statistical analysis, binary logistic regression was employed to evaluate the association between social integration and the utilization of primary health care. RESULTS: 65.99% of the migrants received health education on infectious diseases (ID), 40.11% of the migrants received health education on noncommunicable diseases (NCD) and 8.48% of the migrants chose to go to Community Health Center (CHC) seeking for health services. There was a positive effect of social organization participation, the influence of hometown customs, differences of hygiene habits between migrants and local people, integration willingness and evaluation of identity on the receiving of health education on ID and NCD, as well as a positive effect of civil activities engagement and differences of hygiene habits between migrants and local people on the utilization of CHC after getting sick. CONCLUSIONS: Social integration was associated with the utilization of primary health care among migrants in China. Generally speaking, greater social integration was associated with higher possibility of receiving health education on ID and NCD. However, the effect of social integration on the utilization of CHC was more complex among different indicators. There should be more policy interventions to improve the social integration of migrant which help them to get familiar with the health resource available, as well as improve the capacity of CHC.

Spatial heterogeneity analysis of matching degree between endangered plant diversity and ecosystem services in Xishuangbanna.

Biodiversity and ecosystem services (ESs) are closely linked. Human activities have caused critical damage to the habitat and ecosystem function of organisms, leading to decline in global biodiversity and ecosystem services. To ensure sustainable development of local ecological environments, it is critical to analyze the spatial matching degree of biodiversity and ESs and identify ecologically vulnerable areas. Taking Xishuangbanna, southern China, as an example, we constructed a pixel-scale matching degree index to analyze the spatial matching degree of endangered plant diversity (EPD) and four ESs and classified the matching degree into low-low, low-high, high-low, and high-high four types. The results revealed a mismatch relationship of EPD and ESs in more than 70% of areas. Under the influence of altitude and land use/land cover (LULC) type, the matching degree of EPD and ESs showed obvious spatial heterogeneity. In low-altitude areas in the south of Xishuangbanna, EPD and ESs mainly showed mismatch, while high-altitude areas in the west had a better match. Natural forest was the main land cover in which EPD and ESs showed high-high match and its areal proportion was much larger than that of rubber plantation, tea plantation, and cropland. Our findings also stress the need to concentrate conservation efforts on areas exhibiting a low-low match relationship, indicative of potential ecological vulnerability. The pixel-scale spatial matching degree analysis framework developed in this study for EPD and ESs provides high-resolution maps with 30 m × 30 m pixel size, which can support the implementation of ecological protection measures and policy formulation, and has a wide range of applicability. This study provides valuable insights for the sustainable management of biodiversity and ESs, contributing to the strengthening of local ecological environment protection.

Reinforced mixture learning.

In this article, we formulate the standard mixture learning problem as a Markov Decision Process (MDP). We theoretically show that the objective value of the MDP is equivalent to the log-likelihood of the observed data with a slightly different parameter space constrained by the policy. Different from some classic mixture learning methods such as Expectation-Maximization (EM) algorithm, the proposed reinforced algorithm requires no distribution assumptions and can handle the non-convex clustered data by constructing a model-free reward to evaluate the mixture assignment based on the spectral graph theory and Linear Discriminant Analysis (LDA). Extensive experiments on both synthetic and real examples demonstrate that the proposed method is comparable with the EM algorithm when the Gaussian mixture assumption is satisfied, and significantly outperforms it and other clustering methods in most scenarios when the model is misspecified. A Python implementation of our proposed method is available at https://github.com/leyuanheart/Reinforced-Mixture-Learning.

Vaccination in the childhood and awareness of basic public health services program among internal migrants: a nationwide cross-sectional study.

BACKGROUND: Vaccination is proved to be one of the most effective and efficient way to prevent illness and reduce health inequality. Studies about association between vaccination inequalities in the childhood and awareness of basic public health services program among internal migrants in China are lacking. In this study, we aimed to explore the association between migrants' vaccination status between 0 and 6 years old and their awareness of the National Basic Public Health Services (BPHSs) project in China. METHODS: We included 10,013 respondents aged 15 years old or above of eight provinces from 2017 Migrant Population Dynamic Monitoring Survey in China, a nationwide cross-sectional study. Univariate and multivariable logistic regressions were used to assess vaccination inequalities and the awareness of public health information. RESULTS: Only 64.8% migrants were vaccinated in their childhood, which is far below the goal of national requirement of 100% vaccination. This also indicated the vaccination inequalities among migrants. Female, the middle-aged, married or having a relationship, the highly educated and the healthy population had higher awareness of this project than others. Both univariate and multivariate logistic regressions showed greatly significant association between vaccination status and some vaccines. Specifically, after adding convariates, the results showed that there were significant associations between the vaccination rates of eight recommended vaccines in the childhood and their awareness of BPHSs project (all p values < 0.001), including HepB vaccine (OR: 1.28; 95%CI: 1.19, 1.37), HepA vaccine (OR: 1.27; 95%CI: 1.15, 1.41), FIn vaccine (OR: 1.28; 95%CI: 1.16, 1.45), JE vaccine (OR: 1.14; 95%CI: 1.04, 1.27), TIG vaccine (OR: 1.27; 95%CI: 1.05, 1.47), DTaP vaccine (OR: 1.30; 95%CI: 1.11-1.53), MPSV vaccine (OR: 1.26; 95%CI: 1.07-1.49), HF vaccine (OR: 1.32; 95%CI: 1.11, 1.53), except for RaB vaccine (OR: 1.07; 95%CI: 0.89, 1.53). CONCLUSIONS: The vaccination inequalities exist among migrants. There is a strong relationship between the vaccination status in the childhood and the awareness rate of BPHSs project among migrants. From our findings we could know that the promotion of vaccination rates of the disadvantaged population such as the internal migrants or other minority population can help them increase the awareness of free public health services, which was proved to be beneficial for health equity and effectiveness and could promote public health in the future.

Spatial effects of air pollutants reduction on CO2 emissions.

The sources of air pollutants and CO2 are basically the same, hence the reduction of air pollutants will affect CO2 emissions. Considering the regional integration of economic development as well as air pollution control, it is necessary to analyze the impact of air pollutants reduction in a region on CO2 emissions in its surrounding regions. Furthermore, as different stages of air pollutants reduction have different effects on CO2 emissions, it is also important to study the heterogeneity of this impact. In this article, we took China as the research case and built a spatial panel model based on the data of 240 cities above the prefecture level from 2005 to 2016 to study the impact of two different stages of air pollutants reduction-front reduction of air pollutants (FRAP) and end-of-pipe treatment of air pollutants (EPAP) on CO2 emissions-and their spatial spillover effects. On this basis, we further modified traditional spatial weight matrix and constructed the matrices of cities in the same and different provinces to discuss the influence of provincial administrative boundaries on the spillover effect between cities. The results show that FRAP affects CO2 emissions mainly through the local synergistic effect, and its spatial spillover effect is not significant. The local effect of EPAP on CO2 emissions is antergic, and the spatial spillover effect is significant. The increase of a city's EPAP will increase the CO2 emissions in surrounding regions. Besides, provincial boundaries weaken the spatial spillover effects of FRAP and EPAP on CO2 emissions in prefecture-level cities. There is a significant spatial spillover effect between cities in the same province, but the spillover effect does not exist for cities in different provinces nearby.

The next step for China's national park management: Integrating ecosystem services into space boundary delimitation.

The contradiction between ecological conservation and economic development posed significant challenges to the management of National Parks. From the perspective of Ecological Economics, the cause of the contradiction is the difficulty of creating monetary profits from biodiversity conservation, which is the primary target of National Parks. Integrating Ecosystem Services (ESs) into space boundary delimitation is the next step in National Park management since ESs are closely related to human well-being and can provide monetary benefits. Extending the boundary of the National Park to high-ES areas and promoting ES trading can help generate funds for ecological restoration. Using the Sanjiangyuan National Park (SNP) as an example, this study proposed integrating ESs into National Park delimitation for sustainable National Park management. It was found that the current SNP boundary provides insufficient coverage of high-ES areas, while most of the multiple ES supply areas were dispersed to SNP's southeast edge. The Core conservation area showed the most prominent contradiction between ecological conservation and economic development, resulting in many low-level ES sites in the Traditional use area failing to be included in the Restoration area for protection. Future approaches would be well-advised to re-adjust SNP boundary by expanding the ES hotspot areas on the southeastern edge of SNP, as well as expanding funding sources via ecological product trade and other tools to supplement the input for ecological restoration. Overall, this study can act as a reference for optimizing National Parks within and beyond China, and promote the understanding of the Ecological Economy and sustainable development.

Capital Formation, Green Innovation, Renewable Energy Consumption and Environmental Quality: Do Environmental Regulations Matter?

The world economy continues to witness a steady rise in carbon emissions, which makes it challenging to fulfill the terms of the Paris agreement on reducing greenhouse gas emissions. In this context, countries worldwide enact environmental regulations to curtail environmental pollution to promote sustainable development. However, the importance of environmental regulations has not been fully validated in the previous literature. In addition, the concurrent roles of capital formation, green innovation, and renewability cannot be overlooked. Against this backdrop, this study selects data from G7 countries from 1994 to 2019 to explore the effect of environmental regulations, capital formation, green innovation, and renewable energy consumption on CO2 emissions. In order to achieve the above research objectives, we employ the Method of Moments Quantile Regression (MM-QR) for empirical analysis. The results reveal that capital formation significantly enhances environmental quality by reducing CO2 emissions across all quantiles (10th-90th). Environmental regulations show a significant and negative impact on CO2 emission mainly at the middle and higher emissions quantiles, while the effect is insignificant at lower quantiles (10th). Moreover, green innovation and renewable energy consumption mitigate CO2 emissions across all quantiles (10th-90th), while economic growth deteriorates environmental quality in G7 countries. The panel granger causality results indicate the unidirectional causality running from capital formation, environmental regulations, and renewable energy towards CO2 emissions, which implies that any policy related to these variables will Granger cause CO2 emissions but not the other way round. Based on the findings, important policy implications are proposed to promote sustainable development in G7 countries.

Impacts of urbanization at city cluster scale on ecosystem services along an urban-rural gradient: a case study of Central Yunnan City Cluster, China.

Urban agglomeration will be the main mode of future urbanization in China, greatly influencing social and economic development and ecosystem protection at the whole city cluster scale. It is important to analyze the impacts of large-scale, scattered land use and cover change (LUCC) consisting of one-pole-multi-point urbanization in city clusters on regional ecosystem services (ESs), so as to increase ecological security and maintain ES levels. Using the urban-rural gradient analysis method (UGAM), this study examined driver-response mechanisms of large-scale, scattered agglomeration urbanization on ESs along an urban-rural gradient and at a regional scale. This was done by simulating and analyzing tempo-spatial variations in ES characteristics along concentric ring gradients in the Central Yunnan City Cluster (CYCC) under its present urbanization path. The results showed that rapid urban sprawl is the main driver affecting the integral value of ESs in CYCC and that ES trade-offs (through LUCC caused by urbanization) between adjacent zones along the urban-rural gradient will particularly exacerbate the degradation of integral ES levels. Hence, CYCC should follow a sustainable, eco-friendly urbanization path and consider ecological principles and the impact of LUCC on regional ESs along the urban-rural gradient in top-level design and decision-making on urban planning and strategic land use management. Differentiated regional development policies should be formulated for each area, the urban-rural development pattern and layout optimized, the scale of construction land rationally controlled, and the overall efficiency of land use improved. Ecological buffers should be set up around areas with sharp and obvious changes in land use, to alleviate the negative impact of large-scale, decentralized city cluster urbanization on regional ESs.

Regular diet is non-inferior to restricted diet after polypectomy with decreased hospitalization length of stay and cost: a randomized-controlled trial.

Background: There are no data comparing a regular diet with a restricted diet after endoscopic polypectomy in patients with colorectal polyps. The current guidelines also did not provide the detailed information of dietary patterns after polypectomy. In this study, we aimed to evaluate the safety and efficacy of different diets on post-polypectomy outcomes. Methods: A total of 302 patients with colorectal polyps who underwent polypectomy were prospectively enrolled between March 2019 and December 2019 in Nanfang Hospital (Guangzhou, China). Enrolled patients were then randomly assigned to a regular diet group or a restricted diet group after polypectomy. The study is a non-inferior design and the primary end point was the post-operative adverse events (AE) rate. Secondary end points included length of stay (LOS) and hospitalization cost. Results: Among all the included patients, 148 patients received a restricted diet and 154 patients received a regular diet after polypectomy. A total of 376 polyps were removed, with 183 polyps in the restricted diet group and 193 polyps in the regular diet group. Shorter LOS (4.0 ± 1.4 vs 4.8 ± 1.7, P < 0.001) and lower hospitalization costs (7,701.63 ± 2,579.07 vs 8,656.05 ± 3,138.53, P = 0.001) were observed in the regular diet group. In particular, there was no significant difference in 3-day AE rates between the restricted diet and the regular diet group (1.35% [2/148] vs 2.60% [4/154], P = 0.685). Subgroup analysis looking at the number of polyps removed in each patient and different treatment modalities also showed similar findings. Conclusion: Regular diet should be recommended after polypectomy for polyps <20 mm as it can shorten LOS and save hospitalization costs.

Ecological Momentary Assessment of Physical Activity and Wellness Behaviors in College Students Throughout a School Year: Longitudinal Naturalistic Study.

BACKGROUND: The Wellness Environment app study is a longitudinal study focused on promoting health in college students. OBJECTIVE: The two aims of this study were (1) to assess physical activity (PA) variation across the days of the week and throughout the academic year and (2) to explore the correlates that were associated with PA, concurrently and longitudinally. METHODS: The participants were asked to report their wellness and risk behaviors on a 14-item daily survey through a smartphone app. Each student was provided an Apple Watch to track their real time PA. Data were collected from 805 college students from Sept 2017 to early May 2018. PA patterns across the days of the week and throughout the academic year were summarized. Concurrent associations of daily steps with wellness or risk behavior were tested in the general linear mixed-effects model. The longitudinal, reciprocal association between daily steps and health or risk behaviors were tested with cross-lagged analysis. RESULTS: Female college students were significantly more active than male ones. The students were significantly more active during the weekday than weekend. Temporal patterns also revealed that the students were less active during Thanksgiving, winter, and spring breaks. Strong concurrent positive correlations were found between higher PA and self-reported happy mood, 8+ hours of sleep, ≥1 fruit and vegetable consumption, ≥4 bottles of water intake, and ≤2 hours of screen time (P<.001). Similar longitudinal associations found that the previous day's wellness behaviors independently predicted the following day's higher PA except for mood. Conversely, the higher previous-day PA levels were associated with better mood, more fruit and vegetable consumption, and playing less music, but with higher liquor consumption the next day. CONCLUSIONS: This study provides a comprehensive surveillance of longitudinal PA patterns and their independent association with a variety of wellness and risk behaviors in college students.

The Application of Low-Frequency Transition in the Assessment of the Second-Order Zeeman Frequency Shift.

Second-order Zeeman frequency shift is one of the major systematic factors affecting the frequency uncertainty performance of cesium atomic fountain clock. Second-order Zeeman frequency shift is calculated by experimentally measuring the central frequency of the (1,1) or (-1,-1) magnetically sensitive Ramsey transition. The low-frequency transition method can be used to measure the magnetic field strength and to predict the central fringe of (1,1) or (-1,-1) magnetically sensitive Ramsey transition. In this paper, we deduce the formula for magnetic field measurement using the low-frequency transition method and measured the magnetic field distribution of 4 cm inside the Ramsey cavity and 32 cm along the flight region experimentally. The result shows that the magnetic field fluctuation is less than 1 nT. The influence of low-frequency pulse signal duration on the accuracy of magnetic field measurement is studied and the optimal low-frequency pulse signal duration is determined. The central fringe of (-1,-1) magnetically sensitive Ramsey transition can be predicted by using a numerical integrating of the magnetic field "map". Comparing the predicted central fringe with that identified by Ramsey method, the frequency difference between these two is, at most, a fringe width of 0.3. We apply the experimentally measured central frequency of the (-1,-1) Ramsey transition to the Breit-Rabi formula, and the second-order Zeeman frequency shift is calculated as 131.03 × 10-15, with the uncertainty of 0.10 × 10-15.

Assessment of the retinal vasculature in healthy Chinese preschool children aged 4-6 years old using optical coherence tomography angiography.

PURPOSE: To establish normal parameters of macular and optic disc vasculature by optical coherence tomography angiography (OCTA) in healthy preschool children aged 4-6 years old in China. OCTA reflects retinal metabolism and development in children at these ages and could be used clinically and in future studies to aid diagnosis and prediction of retinal abnormalities and developmental stagnation. METHODS: In this cross-sectional study, we measured foveal, parafoveal, and perifoveal vessel density in the superficial capillary plexus (SCP); the deep capillary plexus (DCP), the foveal avascular zone (FAZ), and the radial capillary peripapillary (RPC) in the optic disc using investigational spectral-domain OCTA. The magnification effect of the FAZ area and microvasculature measurements was corrected by Littman and the modified Bennett formula. RESULTS: A total of 242 eyes (116 males and 126 females, 5.31 ± 0.73 years) were recruited for the analysis. The mean macular vessel density was 48.10 ± 2.92% and 48.74 ± 6.51% in the SCP and the DCP, respectively. The RPC vessel density was 47.17 ± 2.52%, 47.99 ± 4.48%, and 48.41 ± 3.07% in the whole image, inside disc, and peripapillary, respectively; and the mean FAZ area was 0.28 ± 0.11 mm2. A significant difference between male and female participants was found in the retinal vasculature (DCP, SCP, and RPC). None of these parameters were significantly different in age (P > 0.05), except that DCP slightly increased with aging. The right and left eyes had good consistency in the parameters of the macula and optic disc. CONCLUSIONS: Our study establishes the macular and optic disc OCTA reference values in 4- to 6-year-old healthy preschool children. They may be used in longitudinal OCTA studies and clinical applications.

Sociodemographic disparities in the establishment of health records among 0.5 million migrants from 2014 to 2017 in China: a nationwide cross-sectional study.

BACKGROUND: Migrants account for a large part of China's population. Many policies and inventions have been taken to improve access to public health services and the health of migrants. China's Basic Public Health Services(BPHS) are a series of public health services in this policy domain, which aims at promoting the access of public health sevices and improve health equity of residents. The establishment of health records is the fundamental service of BPHS. However, there is little known about the establishment of health records among migrants in China, which hinders the more efficient provision of health services for migrants, and health equity is difficult to achieve. Based on the research gap, this study aims at showing the sociodemographic disparities in the establishment rate of health records, and identifying priorities and recommendations for promoting health equity of migrants in China. METHODS: This study used national data from China Migrants Dynamic Survey (CMDS) from 2014 to 2017 to evaluate the sociodemographic disparities in the establishment rate of health records and utilization of relevant public health services. The study included 539,926 respondents. Following the descriptive statistics of migrants, we showed the establishment rate of health records by sociodemographic characteristics and migrating related characteristics. Multivariate analysis was conducted to explore the associations between sociodemographic charicteristics, migrating related charicteristics and the establishment of health records. RESULTS: The establishment rate of health records among migrants in the sampled years were 22.99, 38.44, 27.29% respectively, and 29.18% in general, and there existed heterogeneity in the establishment rate of health records by sociodemographic charicteristics and migrating related charicteristics. Female migrants who were older, from middle age, married or living with partner, with higher educational attainment, with urban household registration, migrated for longer time, migrated for the reason of studying or family issues, migrated in province were more likely to establish health records. CONCLUSION: There existed sociodemographic disparities in the establishment rate of health records and inequalities in the utilization of health records services among migrants in China. Migrating related characteristics also had impact on the establishment status. Policies should take both supply side and demand side of health services to improve the health equity of migrants, which means that relative departments should continue to invest in primary healthcare centers to improve their ability to provide services as well as migrants' health literacy.

Validation of the Apple Watch for Estimating Moderate-to-Vigorous Physical Activity and Activity Energy Expenditure in School-Aged Children.

The Apple Watch is one of the most popular wearable devices designed to monitor physical activity (PA). However, it is currently unknown whether the Apple Watch accurately estimates children's free-living PA. Therefore, this study assessed the concurrent validity of the Apple Watch 3 in estimating moderate-to-vigorous physical activity (MVPA) time and active energy expenditure (AEE) for school-aged children under a simulated and a free-living condition. Twenty elementary school students (Girls: 45%, age: 9.7 ± 2.0 years) wore an Apple Watch 3 device on their wrist and performed prescribed free-living activities in a lab setting. A subgroup of participants (N = 5) wore the Apple Watch for seven consecutive days in order to assess the validity in free-living condition. The K5 indirect calorimetry (K5) and GT3X+ were used as the criterion measure under simulated free-living and free-living conditions, respectively. Mean absolute percent errors (MAPE) and Bland-Altman (BA) plots were conducted to assess the validity of the Apple Watch 3 compared to those from the criterion measures. Equivalence testing determined the statistical equivalence between the Apple Watch and K5 for MVPA time and AEE. The Apple Watch provided comparable estimates for MVPA time (mean bias: 0.3 min, p = 0.91, MAPE: 1%) and for AEE (mean bias: 3.8 kcal min, p = 0.75, MAPE: 4%) during the simulated free-living condition. The BA plots indicated no systematic bias for the agreement in MVPA and AEE estimates between the K5 and Apple Watch 3. However, the Apple Watch had a relatively large variability in estimating AEE in children. The Apple Watch was statistically equivalent to the K5 within ±17.7% and ±20.8% for MVPA time and AEE estimates, respectively. Our findings suggest that the Apple Watch 3 has the potential to be used as a PA assessment tool to estimate MVPA in school-aged children.

[Clinical study on new risk assessment and prediction system for early osteonecrosis of the femoral head].

OBJECTIVE: To establish a risk assessment and prediction system for early osteonecrosis of the femoral head (ONFH) in order to predict the collapse risk. METHODS: The risk assessment system for early necrosis and collapse of femoral head was established based on the combination of Steinberg stage, ABC typing and the proportion of the proximal sclerotic rim. Firstly, Steinberg stage system was applied. ABC typing was applied to predict risk in stage I, type C was risk free, type B was low risk, type A and type BC were medium risk, type A-C and type AB were high risk. The classification of proximal sclerotic rim was first applied when the Steinberg stage was Ⅱ-Ⅲ, and type 2 was expected to be low risk. If the classification of proximal sclerotic rimwas type 1, then the ABC typing was applied, type C was risk-free, type B was low risk, type A and type BC were medium risk, type A-C and type AB were high risk. According to this prediction system, the collapse risk of femoral head in 188 cases(301 hips) were predicted by retrospective analysis. All the hips were enrolled at the out-patient department of orthopedic in Guang'anmen Hospital attached to China Academy of Chinese Medical Science. The consistency of the prediction results of three doctors and one doctor at different times were evaluated. RESULTS: Among them, 136 cases were male, 52 were female. 75 cases were single hip, 113 were double hip. The age of the patients wa 19 to 64(42.61±12.07) years. The natural course of disease was 0.33 to 5.00(3.62±1.93) years. 206 hips in 301 hips had collapsed, with a collapse rate of 68.44%. In the risk-free group, none hip had collapsed, with a collapse rate of 0%. In the low-risk group, 9 hip in 91 hips had collapsed, with a collapse rate of 9.89%. In the medium-risk group, 12 hip in 19 hips had collapsed, with a collapse rate of 63.16%. And in the high risk group, 185 hips in 190 hips had collapsed, with a collapse rate of 97.37%. They were significantly differences in their collapse rate (P=0.00) in the following order:high-risk group> medium-risk > low-risk group > risk-free group. The prediction value of the system was high (AUC=0.95, P=0.00). The results predicted by different doctors were consistent (ICC=0.94, P=0.00), and the results predicted by the same doctor at two different times were consistent (Kappa coefficient =0.90, P=0.00). CONCLUSION: The risk assessment and prediction system for early ONFH selects different methods to predict the risk of collapse according to the imaging characteristics of different stages, which is combines with the comprehensive assessment of multiple risk factors. The system is applicable to a wide range, simple operation and convenient for clinical application.

Spontaneous transient brain states in EEG source space in disorders of consciousness.

Spontaneous transient states were recently identified by functional magnetic resonance imaging and magnetoencephalography in healthy subjects. They organize and coordinate neural activity in brain networks. How spontaneous transient states are altered in abnormal brain conditions is unknown. Here, we conducted a transient state analysis on resting-state electroencephalography (EEG) source space and developed a state transfer analysis to patients with disorders of consciousness (DOC). They uncovered different neural coordination patterns, including spatial power patterns, temporal dynamics, spectral shifts, and connectivity construction varies at potentially very fast (millisecond) time scales, in groups with different consciousness levels: healthy subjects, patients in minimally conscious state (MCS), and patients with vegetative state/unresponsive wakefulness syndrome (VS/UWS). Machine learning based on transient state features reveal high classification accuracy between MCS and VS/UWS. This study developed methodology of transient states analysis on EEG source space and abnormal brain conditions. Findings correlate spontaneous transient states with human consciousness and suggest potential roles of transient states in brain disease assessment.

Calibration of the Online Youth Activity Profile Assessment for School-Based Applications.

A balance between the feasibility and validity of measures is an important consideration for physical activity research - particularly in school-based research with youth. The present study extends previously tested calibration methods to develop and test new equations for an online version of the Youth Activity Profile (YAP) tool, a self-report tool designed for school applications. Data were collected across different regions and seasons to develop more robust, generalizable equations. The study involved a total of 717 youth from 33 schools (374 elementary (ages 9-11), 224 middle (ages 11-14), and 119 high school (ages 14-18)) in two different states in the U.S. Participants wore a Sensewear monitor for a full week and then completed the online YAP at school to report physical activity (PA) and sedentary behaviors (SB) in school and at home. Accelerometer data were processed using an R-based segmentation program to compute PA and SB levels. Quantile regression models were used with half of the sample to develop item-specific YAP calibration equations and these were cross validated with the remaining half of the sample. Computed values of Mean Absolute Percent Error (MAPE) ranged from 15-25% with slightly lower error observed for the middle school sample. The new equations had improved precision compared to the previous versions when tested on the same sample. The online version of the YAP provides an efficient and effective way to capture school level estimates of PA and SB in youth.

Temporal variations in ambient air quality indicators in Shanghai municipality, China.

Official data on daily PM2.5, PM10, SO2, NO2, CO, and maximum 8-h average O3 (O3_8h) concentrations from January 2015 to December 2018 were evaluated and air pollution status and dynamics in Shanghai municipality were examined. Factors affecting air quality, including meteorological factors and socio-economic indicators, were analyzed. The main findings were that: (1) Overall air quality status in Shanghai municipality has improved and number of days meeting 'Chinese ambient air quality standards' (CAAQS) Grade II has increased. (2) The most frequent major pollutant in Shanghai municipality is O3 (which exceeded the standard on 110 days in 2015, 84 days in 2016, 126 days in 2017, 113 days in 2018), followed by PM2.5 (120days in 2015, 104 days in 2016, 67 days in 2017, 61 days in 2018) and NO2 (50 days in 2015, 67 days in 2016, 79 days in 2017, 63 days in 2018). (3) PM2.5 pollution in winter and O3 pollution in summer are the main air quality challenges in Shanghai municipality. (4) Statistical analysis suggested that PM2.5, PM10, SO2 and NO2 concentrations were significantly negatively associated with precipitation (Prec) and atmosphere temperature (T) (p < 0.05), while the O3 concentration was significantly positively associated with Prec and T (p < 0.05). Lower accumulation of PM, SO2, NO2, and CO and more serious O3 pollution were revealed during months with higher temperature and more precipitation in Shanghai. The correlation between the socio-economic factors and the air pollutants suggest that further rigorous measures are needed to control PM2.5 and that further studies are needed to identify O3 formation mechanisms and control strategies. The results provide scientific insights into meteorological factors and socio-economic indicators influencing air pollution in Shanghai.