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Background: Global climate change has resulted in precipitation regimes exhibiting an increasing trend in rainfall intensity but a reduction in frequency. In addition, nitrogen (N) deposition occurs simultaneously in arid and semi-arid regions. Microbial biomass, diversity, composition, and species interactions are key determinants of ecological functions. We examined the effects of changes in precipitation intensity and N addition on the soil bacterial and fungal communities in a semi-arid grassland in Inner Mongolia, China. Methods: The microbial biomass (bacterial PLFAs and fungal PLFAs) was determined through phospholipid fatty acid (PLFA) analysis, and microbial diversity (Shannon index and evenness index) was determined with high-throughput sequencing (16S and ITS). Species interactions were determined using a molecular ecological network analysis. The relationships between microbial community (bacterial community and fungal community) and environmental variables were examined by Mantel tests. Results: We found that N addition decreased fungal PLFA under moderate, high, and extreme precipitation intensity treatments and increased fungal community complexity under the high precipitation intensity treatment. Furthermore, N addition increased bacterial diversity under moderate and high precipitation intensity treatments. N addition caused greater environmental stress to the fungal community, which was dominated by deterministic processes. Conclusions: The effects of N deposition on soil bacterial and fungal communities were altered by precipitation intensity. The changes in soil bacterial and fungal communities were different, implying that composition and functional traits adapt differently to projected global changes at a regional scale. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic across Chinese mainland was gradually stabilized at a low level with sporadic outbreaks, before the emergence of Omicron variant. Apart from non-pharmacological interventions (NPIs), COVID-19 vaccine has also been implemented to prevent and control the pandemic since early 2021. Although many aspects have been focused, the change of the spatiotemporal distribution of COVID-19 epidemic across Chinese mainland responding to the change of prevention and control measures were less concerned. Here, we collected the confirmed case data (including domestic cases and overseas imported cases) across Chinese mainland during both 2020/04–2020/08 and 2021/04–2021/08, and then conducted a preliminary data comparison on the spatiotemporal distribution of confirmed cases during the identical period between the two years. Distribution patterns were evaluated both qualitatively by classification method and quantitatively through employing coefficient of variation. Results revealed significant differences in the homogeneity of spatiotemporal distributions of imported or domestic cases between the two years, indicating that the important effect of the adjustment of prevention and control measures on the epidemic evolution. The findings here enriched our practical experience of COVID-19 prevention and control. And, the collected data here might be helpful for improving or verifying spatiotemporally dynamic models of infectious diseases. [ABSTRACT FROM AUTHOR]

This study aims to explore the determinants of preschool choice among middle-income parents in Shanghai, the city with the most adequate and diversified preschool services in China. We administer an online survey to 333 Shanghai middle-income parents and find that preschool quality, children's development, and parents' needs constitute the determinants of preschool choice. Furthermore, the parents are primarily concerned about program quality and the development of children's self-care abilities. Among them, 226 parents are very satisfied with the kindergarten they chose, 99 parents are satisfied, eight are generally satisfied, and none reports feeling dissatisfied. There are significant effects of preschool type, parental jobs, and parental education level on parental satisfaction. Those emerging middle-income parents can only send their children to second-level preschools, which are relatively below their expectations, they tended to have lower satisfaction. These findings imply that the educational authorities should adjust their policymaking to meet the varying needs of middle-income families in rapidly developing cities. Highlights: Preschool quality, children's development, and parents' needs are the main determinants of preschool choice. Middle-income parents' primary concerns are program quality and the development of children's self-care abilities. Three-way ANOVA showed that parental satisfaction differed significantly by preschool type, parental job, and educational level. [ABSTRACT FROM AUTHOR]

Low-carbon innovation plays an essential role in carbon reduction worldwide. This study investigates the nexus between low-carbon innovation, economic growth, and carbon emissions by the dynamic spatial Durbin model from 2007 to 2020. First, the Moran index results verify the provincial spatial agglomeration of carbon emissions. High-emission provinces concentrate in major economic zones and energy extraction areas. Second, the effect decomposition results show that long-term and short-term effects are consistent. Low-carbon innovation has a significant mitigation effect on carbon emissions in local regions, which effect, however, is not significant in the adjacent areas. The environmental Kuznets curve hypothesis is validated locally, but all provinces and cities have not reached the inflection point of the environmental Kuznets curve, and the linkage effect in adjacent regions remains insignificant. The above results have been tested to be robust. Third, the results of the mechanism analysis show that environmental policies, absorptive capacity, and financial development play a moderating role in the relationship between low-carbon innovation and carbon emissions. Finally, the heterogeneity test showed significant differences between Eastern, Central, and Western. The direct effect of low-carbon innovation exists in Eastern and central regions; the spillover effect of low-carbon innovation is only in the eastern region. In addition, corresponding measures are proposed based on the conclusions. [ABSTRACT FROM AUTHOR]

The role of digital financial inclusion in economic development has been widely appreciated, and its carbon emission mitigating effect on the household sector needs to be noticed. This study investigates the impact of digital financial inclusion on household carbon emissions based on panel data for 30 Chinese provinces from 2011 to 2020. The results show that digital financial inclusion has a significant and robust mitigation effect on household carbon emissions and that digital financial inclusion impacts mainly from the breadth of coverage and the degree of digitization. The heterogeneity test results show that this mitigation effect is mainly found in the central and western inland regions as well as in the northern regions with high winter heating demand. In addition, this mitigation effect is mainly found in urban rather than rural areas. The results of the mechanism analysis show that digital financial inclusion reduces household carbon emissions through two pathways, electricity consumption and natural gas consumption share, and no significant mediating effect is observed for residential consumption share. The results of this study shed light on the relationship between digital financial inclusion and carbon emissions in the household sector and provide a reference for decision-making to address household carbon emission mitigation in China. [ABSTRACT FROM AUTHOR]

Evidence of the short-term effects of ambient sulfur dioxide (SO2) exposure on the economic burden of ischemic stroke is limited. This study aimed to explore the association between short-term ambient SO2 exposure and hospitalization costs for ischemic stroke in Chongqing, the most populous city in China. The hospital-based study included 7271 ischemic stroke inpatients. Multiple linear regression models were used to estimate the association between SO2 concentration and hospitalization costs. Propensity score matching was used to compare the patients' characteristics when exposed to SO2 concentrations above and below 20 μg/m3. It is found that short-term SO2 exposure was positively correlated with the hospitalization costs of ischemic stroke. The association was more evident in males, people younger than 65, and people hospitalized in the cool seasons. Besides, among the components of hospitalization costs, medicine costs were most significantly associated with SO2. More interesting, the lower concentration of SO2, the higher costs associated with 1 μg/m3 SO2 change. Above all, SO2 was positively associated with hospitalization costs of ischemic stroke, even at its low levels. The measures to reduce the level of SO2 can help reduce the burden of ischemic stroke. [ABSTRACT FROM AUTHOR]

Strawberry vein banding virus (SVBV) is one of the serious viral pathogens infecting strawberry worldwide. To understand the molecular characterization of SVBV from China, complete genome sequences of sixteen SVBV isolates were cloned and sequenced. Sequence comparison showed they shared high nucleotide sequence identity (93.6–99.5%) with isolates from China and Japan (96.6–98.4%), while relatively low identity with the isolates from Canada (91.9–93.7%) and USA (85.5–85.9%). Phylogenetic analyses based on the complete genome sequence or coat protein (CP) gene showed the SVBV isolates clustered into three clades correlated with geographic distribution. Recombination analyses identified 13 recombinants and 21 recombinant events, indicating frequent and multiple recombinations in SVBV evolution. Furthermore, a sensitive loop-mediated isothermal amplification (LAMP) method was developed for rapid detection of SVBV isolates, which could be especially suitable for seedling propagation, virus-free culture and routine diagnostics in field investigation. This study offers new understanding of the molecular evolution and may help to improve the management of SVBV. [ABSTRACT FROM AUTHOR]

The strength of sandstone decreases significantly with higher water content attributing to softening effects. This scenario can pose a severe threat to the stability of reservoirs of pumped storage power stations developed from abandoned mines, especially when subjected to the cyclic loading condition caused by the repeated drainage and storage of water (fatigue damage). Based on this, it is essential to focus on the fatigue failure characteristics. In this study, the mineral composition of the used sandstone of Ruineng coal mine in Shanxi Province, China, was first tested to elucidate the rock softening mechanism after absorbing water. Next, a numerical model for replicating the mechanical behavior of water-bearing sandstone was established using two-dimensional particle flow code (PFC2D) with a novel contact model. Then, 16 uniaxial cyclic loading simulations with distinct loading parameters related to reservoir conditions (loading frequency, amplitude level, and maximum stress level) and different water contents were conducted. The numerical results show that all these three loading parameters affect the failure characteristics of sandstone, including irreversible strain, damage evolution, strain behavior, and fatigue life. The influence degree of these three parameters on failure behavior increases in the order of maximum stress level, loading frequency, and amplitude level. However, for the samples with different water contents, their failure characteristics are similar under the same loading conditions. Furthermore, the failure mode is almost unaffected by the loading parameters, while the water content plays a significant role and causing the transformation from the tensile splitting with low water content to the shear failure with higher water content. [ABSTRACT FROM AUTHOR]

This study first attempts to use the parameterized quadratic directional distance function (DDF) approach to calculate China's provincial carbon abatement cost and carbon reduction potential (CRP) under different scenarios from 2000 to 2017. Afterward, considering three different scenarios, we analyze the spatio-temporal characteristics and the dynamic evolution pattern of CRP. We also employ spatial Durbin model (SDM) to investigate the influencing factors of CRP. The results are obtained as follows: (1) CRP across the three scenarios varies considerably across provinces and different-located groups. CRP higher areas are mainly located in the economically developed eastern coastal regions, while most provinces with low CRP are concentrated in the western region. (2) Provinces with a similar CRP showed a significant geographic agglomeration, and the agglomeration effect was strengthened first and then weakened. Simultaneously, the local spatial distribution of moderation carbon reduction potential (MCRP), fairness carbon reduction potential (FCRP), and efficiency carbon reduction potential (ECRP) shows a slight spatial polarization feature. (3) Through the SDM analysis and spillover effect decomposition, we find that improvement of regional CRP not only depends on economic development, industrial structure adjustment, and energy efficiency elevation, but also involves energy structure optimization, low-carbon innovation, and population. The low-carbon innovation provides critical support for local CRP under the efficiency scenario but restrains the local CRP under the fairness scenario. Therefore, the central government should emphasize local conditions and the ex-ante scenario assessment, strengthen regional interactive governance, optimize energy efficiency, and promote the application of clean energy to enhance CRP. [ABSTRACT FROM AUTHOR]