Search

the middle reach of Yellow River is a production area for main grain crops in China and is also an emerging industrial cluster. this study adopts meteorological data from 1951 to 2014 provided by 73 national ordinary stations in the study area, combines Kendall-tau non-parametric test method, Sen’s slope estimation method and Savitzky-Golay smoothing filtering method based on sub-regions divided by fuzzy clustering method and analyzes the variation trend of extreme temperature indexes. The results show that: (1) in the middle reach of Yellow River, the variation trend of extreme temperature events is basically similar, but the intensity is different, and the spatial distribution is inconsistent. (2) On time scale, an upward trend has been found in extreme temperature events in the past 60 years. (3) On spatial scale, the change rate of multiple indexes in the arid sub-region is greater than that of those in the humid sub-region; the proportion of meteorological stations with significant index changes in the arid region is higher than that in the humid sub-region. Some indexes have different trends in small areas, which may be caused by local microclimates in urban heat islands and hilly areas, but further analysis and verification is also required. [ABSTRACT FROM AUTHOR]

As one of the major water sources in Ningxia of China, it is of great importance to maintain healthy ecological environment of the Yellow River. In this essay, basin hydrological model is adopted to simulate the influences of prediction of climate changes on runoff in river basin, which is of great theoretical and realistic significance to flood and draught control plans as well as long-term exploitation and utilization of water resources in Ningxia Section of Yellow River Basin of China. Based on analysis of the changing characteristics of major climates and hydrological features in Ningxia Section of Yellow River Basin of China, distributed hydrological model SWAT (Soil and Water Assessment Tool) coupled with GIS is used in this study to simulate the yearly and monthly runoff volumes under 15 different climate changes, with the aim to explore the influences of climate changes to runoff. The results show that the runoff volume in the basin has negative correlation with the temperature but in positive correlation with the rainfall, and that the influence of the changes of rainfall in the basin on the runoff is greater than that of the temperature, which could provide basis for decision making of water resource management in Ningxia Section of the Yellow River Basin of China. [ABSTRACT FROM AUTHOR]

In recent years, the Ningxia Section of the Yellow River Basin of China has become waterstressed due to the reduction of the upstream precipitation, to the serious water and soil loss in the midstream, to the increased water consumption in industrial and agricultural areas and to other reasons. To fully understand the runoff variation of the Yellow River in the Ningxia Section of China and to rationally carry out the water dispatching and the water resource management, the applicability of the SWAT model for water balance in this basin is explored. Based on the improved SWAT model, the distributed hydrological model of the Ningxia Section of the Yellow River Basin of China has been constructed. The meteorological and hydrological data of the Ningxia Section of the Yellow River Basin of China from 1990 to 2017 have been used for simulation. The relative error Re the correlation coefficient R² and Nash-Suttcliffe coefficient Ens have been used as the standards, while the sensitive parameter of the measured monthly runoff from 2005 to 2011 to the model used for the calibration, and the model have been validated by the measured monthly runoff from 2012 to 2017. The research results show that the simulation results basically meet the model evaluation requirements, indicating that the SWAT model is applicable to the runoff simulation of the Ningxia Section of the Yellow River Basin of China, and it can provide decision-making basis for water resource management in the Ningxia Section of the Yellow River Basin of China. [ABSTRACT FROM AUTHOR]

This paper reports a study of the distribution of organo-chlorine pesticides (DDT and HCH) between rice plants and the soil system by spraying before the heading stage at four different dosage levels – control, normal dosage (15 kg ha-1 of 6% HCH and 7.5 kg ha-1 of 25% DDT), double dosage and four times dosage. Soil and plant samples were taken respectively at the 1st h, 3rd, 10th, 20th, and 40th day after spraying and at the harvest time. The results indicate that less than 5% of HCH and 15% of DDT were absorbed by the surface of rice leaves for normal dosage. Most of both pesticides moved into the soil in solution after spraying. Compared with DDT, HCH was degraded and run off more easily. HCH residues in the surface soil layer (1–3 cm) were already below 6.4 μg kg-1 at the mature stage, lower than Chinese Environmental Quality Standard for Agricultural Soils: HCH <0.05 mg kg-1. However DDT residues in the surface soil layer remained 172 μg kg-1, higher than the national standard: DDT <0.05 mg kg-1. According to the test f OCP residues in rice seeds, it can be concluded that the OCP sprayed onto the surface of rice leaves can move into rice plants and accumulate in the seeds at the mature stage. HCH residues in rice seeds of the double and four times dosage treatments, and DDT residues in all treatments, exceeded the Chinese National Food Standard (HCH <0.10 mg kg-1, DDT <0.20 mg kg-1). [ABSTRACT FROM AUTHOR]

Copyright of Building Research & Information is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract: The use of ultrasonography as a noninvasive tool for assessing the reproductive status of the male Yangtze finless porpoise (YFP; Neophocaena phocaenoides asiaeorientalis) was validated by correlating ultrasonographically determined testicular volume (TV) and testicular parenchyma pixel intensity (PI) with serum testosterone (T) concentration. The testes of 13 free-ranging male YFPs from the Tian-e-Zhou Reserve and three captive animals from the Baiji Dolphinarium (Wuhan, China) were examined ultrasonographically during April 2008. Testis volume was determined using Lambert''s formula for an ellipsoid. Testicular parenchyma PI was evaluated by analyzing testicular ultrasonograms using pixel analysis software (Image J). Serum T concentrations were determined using a single-antibody radioimmunoassay. The TV, PI, and serum T concentration were low and similar in animals with body length <133cm, highest in those with body length ≥142cm, and highly variable in those with body length from 133 to 141cm. Both TV and PI were closely correlated with serum T concentration (r=0.91 and r=0.85, respectively; P<0.01), indicating a consistent association between structural and functional development of the testis. In conclusion, we inferred that puberty onset in male YFPs occurred when TV was >150cm3 and PI was >60 during the breeding season and that testicular ultrasonography and pixel analysis was an efficient, noninvasive, real-time tool to evaluate testicular function of live male YFPs. [Copyright &y& Elsevier]

Emission trading schemes (ETS) are increasingly becoming a popular policy instrument to balance carbon abatement and economic growth. As a globally unified carbon pricing system has not yet been established, whether regionally operated ETSs cause carbon leakage remains a major concern. Taking China's regional pilot ETSs as a quasi-natural experiment, the study uses the spatial difference-in-differences method to examine how regional ETSs affect carbon emissions in and outside cities of policy implementation. Our analysis finds that China's regional ETS policy contributes to a 6.1% reduction in urban CO 2 emissions and a 6.6% decline in emissions intensity in regulated cities, causing carbon leakages that increase CO 2 emissions in neighboring cities by 1.7% on average. Our finding further suggests that regional ETSs mitigate local CO 2 emissions through outsourcing production, improving energy efficiency and decarbonizing energy structure, whereas the outsourcing of industrial production drives up CO 2 emissions in adjacent cities. Moreover, the performances of regional ETSs vary largely by socioeconomic context and mechanism design. China's regional ETSs reduce CO 2 emissions more effectively in central and industrial cities but with more severe carbon leakage, while rigorous compliance mechanisms and active market trading help deepen carbon abatement and alleviate carbon leakage.

Background: This study used a person-centered approach to identify the specific performance of decent work in various groups to determine the heterogeneity of its five dimensions., Method: The Decent Work Scale, Work Need Satisfaction Scale, Socioeconomic Status Scale, Job Satisfaction Scale, and Life Well-being Scale were used to conduct a network survey of organizations in various industries in Mainland China. A total of 1,000 questionnaires were distributed, and 780 valid responses were obtained., Results: The results showed that the decent work of participants could be divided into three types: low salary, low free time, and high decent work. The results showed no significant difference in age among the groups, whereas the differences in socioeconomic status were significant. Welch's test was used to determine differences in the positive outcomes of the three potential types of decent work, and the results showed significant differences in work need satisfaction, job satisfaction, and life well-being among all groups., Conclusion: This study examined the characteristics of decent work more realistically, showing that decent work is not an all-or-nothing structure and that its intrinsic components should be flexibly combined according to the research background and purpose., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Feng, Chu, Li and Zhao.)

Solar photovoltaic (PV) installations, which enable carbon neutrality, are expected to surge in the coming decades. This growth will support sustainable development goals (SDGs) via reductions in power-generation-related environmental emissions and water consumption while generating new jobs. However, where and to what extent PVs should be utilized to support SDGs must be thoroughly addressed. Here, we use multiple PV deployment scenarios to compare the benefits of PVs and related SDGs progress in 366 prefectural-level cities in China. We developed an assessment framework that integrates a PV allocation model, an electricity system optimization model, and a benefit assessment approach. We identify vast differences in PV distribution and electricity transmission and elucidate trade-offs and synergies among the SDGs under various PV implementation scenarios. The water conservation-oriented scenario yields substantial carbon reduction, air pollutant mitigation, and water saving cobenefits, leading to the greatest SDGs improvements. Prioritizing employment creation enhances job-relevant SDGs but inhibits environmental resource benefits. SDGs in less developed cities present greater progress across all scenarios. This study highlights the need to consider spatial heterogeneity and the potential trade-offs between different SDGs and regions when designing energy transition strategies.

Interregional free-trade of agricultural products is expected to transfer embodied (virtual) water from more to less water-productive regions. However, irrigation in semi-arid to arid regions may significantly push up agricultural productivity but cause local water scarcity. This may result in a puzzle: inter-regional trade may save overall water consumption but lead to more severe local water scarcity. An analogous puzzle may exist for farmland, for instance, trade may save farmland but not address farmland scarcity. To test the existence of these two important puzzles, we applied environmentally extended multi-regional input-output models to obtain the inter-regional virtual agricultural water and land transfer across 48 states of the conterminous U.S. and estimated their agricultural land and water footprints in 2017. Such a detailed analysis showed that while the land-abundant Midwestern states exported a sizable amount of virtual farmland to other densely populated areas and foreign nations, the water-stressed Western U.S. and Southwestern U.S. states, like California, Arizona, and New Mexico, exported considerable amounts of water-intensive crops such as fruits, vegetables and tree nuts to the Eastern U.S. and overseas, thus worsen the local water scarcity of those water scarce states. Our analysis highlights a critical dilemma inherent in an economic productivity-focused incentive regime: It frequently leads to increased withdrawal of scarce water. Therefore, resource scarcity rents need to be reflected in inter-regional trade with the support of local environmental policies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Cystic fibrosis (CF) is an autosomal recessive disorder rarely found in Asian populations. Most males with CF are infertile because of obstructive azoospermia (OA) caused by congenital bilateral absence of the vas deferens (CBAVD). Compound heterozygous mutations of cystic fibrosis transmembrane conductance regulator (CFTR) are among the most common pathogenic factors in CBAVD. However, few genealogical analyses have been performed., Methods: In this study, whole-exome sequencing and cosegregation analysis were performed in a Chinese pedigree involving two siblings with CBAVD. Moreover, in vitro gene expressions were used to analyze the pathogenicity of a novel CFTR mutation., Results: We identified compound heterozygous mutations of CFTR comprising the known disease-causing variant c.1210-11T>G (also known as IVS9-5 T) and c.2144delA;p.q715fs in two siblings with CBAVD. To verify the effects in vitro, we transfected vectors expressing wild-type and mutated CFTR into 293T cells. The results showed that the CFTR protein containing the frameshift mutation (c.2144delA) was 60 kD smaller. With testicular sperm aspiration/intracytoplasmic sperm injection-embryo transfer (TESA/ICSI-ET), both CBAVD patients fathered healthy offspring., Conclusion: Our study revealed that compound heterozygous mutations of CFTR are involved in CBAVD, expanding the known CFTR gene mutation spectrum of CBAVD patients and providing more evidence that compound heterozygous mutations can cause familial CBAVD., (© 2024 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.)

Background: Asbestosis is a common pneumoconiosis caused by long-term asbestos exposure. Analysis of the burden of asbestosis would help in creating informed public health strategies., Methods: Data on asbestosis were analyzed using the Global Burden of Disease study 2019. The estimated annual percentage change (EAPC) was calculated to demonstrate temporal trends in the age-standardized rate (ASR) of asbestosis from 1990 to 2019., Results: Globally, 36,339 incident cases of asbestosis, led to 3572 deaths and 71,225 disability adjusted life years (DALYs) in 2019. During 1990-2019, the overall ASRs of incidence and DALYs declined by an annual average of 0.29 % and 0.27 %, with the respective EAPCs being -0.29 (95 % confidence interval [CI]: -0.43, -0.14) and -0.27 (95%CI: -0.53, -0.01). The ASRs of mortality increased with EAPC of 0.65 (95%CI: 0.34, 0.96). Trends in incidence and prevalence rose in females, but declined in males. The asbestosis burden was heterogeneous across regions and countries. The heaviest burden of asbestosis was observed in the United States, India, and China. Trends in ASRs of asbestosis varied across countries/territories. Pronounced increasing trends in incidence and prevalence occurred in Georgia, Iran, and Croatia., Conclusions: Decreasing incident trend of asbestosis was observed globally over the past three decades. However, the ongoing asbestosis burden highlighted that asbestosis remained a challenge to public health, and cost-effective measures were required to reduce the asbestosis burden., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Zhi Wang reports was funded by Bureau of Science and Technology of Guangzhou Municipality., (Copyright © 2023. Published by Elsevier B.V.)

The gender gap in labor force participation (LFP) in China has grown over the last 30 years, despite substantial advances in women's education and economic development. Previous research has identified gender discrimination and work-family conflicts as two key explanations for the gap, both of which have risen since the start of China's economic reform in 1978. Using multiple waves of the national census and household panel data from China, this research shows that one overlooked mechanism widening the LFP gender gap lies in the institutional constraints that require women to retire earlier than men. This research also demonstrates how the impact of women's early retirement on the LFP gender gap has been exacerbated by two societal-level changes: (1) population aging, which increased the share of women who reached the retirement age; and (2) economic development, which increased the number of women entering nonfarming occupations and, hence, the gender-based retirement system. These findings suggest that without significant revisions to China's retirement system, the LFP gender gap will continue to expand as the population ages and economic development proceeds., (Copyright © 2023 The Author.)

Agriculture is one of humankind's most significant sources of biomass; it also places tremendous pressure on ecosystems through its increasing demand for agricultural products. However, few studies have assessed human pressures on ecosystems from agricultural production and consumption based on a whole-supply-chain perspective. Based on the concept of human appropriation of net primary productivity (HANPP), we evaluate trends of agricultural HANPP embodied in consumption from a global perspective and trace the pressure from agriculture production that is exerted on the environment using an environmentally extended multiregional input-output (MRIO) model. The results show that agricultural HANPP embodied in consumption accounted for over two-thirds of total HANPP but brought about less than 7% of global value added. India, Brazil, and China were found to have the highest level of agricultural HANPP embodied in consumption. Agricultural net exporters were found to usually be low- and lower-income countries, while net importers are found to be high-income countries. According to the driving factor analysis, high-income and low-income countries should cooperate by adjusting consumption patterns and sharing agricultural technology to alleviate the pressure from agricultural production. Our study highlights the importance of agrarian expertise sharing and the need to develop sustainable and green agricultural production.

Novel Duck Reovirus (NDRV) that has been found throughout the world in waterfowl, and it has been extensively described. Here, we report the complete genome sequence of a NDRV strain isolated in China called NDRV YF10. This strain was collected from 87 samples with infected ducks in South Coastal Area. The NDRV genome consists of 23,419 bp. With the assistance of computer analysis, the promoter and terminator of each gene segment and 10 viral genes segments were identified, which encode polypeptides ranging from 98 to 1,294 amino acids. All gene fragments of this virus strain were determined and compared to previously reported strains, revealing genetic variation with similarity rates ranging from 96 to 99% for each gene segment. Each gene segment formed 2 host-associated groups, the waterfowl-derived reovirus and the avian-derived reovirus, except for the S1 gene segment, which was closely related to ARV evolution and formed a host-independent subcluster. This difference may be due to Avian Reovirus (ARV) evolving in a host-dependent manner. In order to evaluate the pathogenicity of YF10, a novel isolated strain of NDRV was tested in 2 types of ducks. It was observed that the YF10 isolated strain exhibits varying degrees of virulence, highlighting the potential risk posed to different types of ducks. In conclusion, our findings emphasize the importance of epidemiology studies, molecular characterization, and prevention of NDRV in waterfowl., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

The energy supply chains operating beyond a region's jurisdiction can exert pressure on the availability of water resources in the local area. In China, however, there is a lack of transboundary assessments that investigate the effects of energy consumption on water stress within and across river basins. In this study, we therefore investigate transboundary impacts on scarce water resources that are induced by energy demands (i.e., electricity, petroleum, coal mining, oil and gas extraction, and gas production). We develop a bottom-up high spatial resolution water inventory and link it to a 2017 multiregional input-output (MRIO) table of China to analyze supply chain scarce water use at provincial and river basin levels. We find that the energy-driven water footprint accounts for 21.6% of national water usage, of which 35.7% is scarce water. Nonelectric power energy sectors contribute to around half of the nation's scarce water transfer. We identify three sets of catchments whose water resources are stressed by energy demand, i.e., (a) from the northern Hai River Basin to the eastern part of the Yellow River Basin and the Huai River Basin, (b) the northern area of the Northwest Rivers, and (c) the developed coastal city clusters in the Yangtze River Basin and the Pearl River Basin. We then evaluate the impacts of eight mitigation options, which may potentially shift around half of the moderate- or high-stress areas in the Hai River Basin and the Northwest Rivers to low to moderate (or even low) stress. We highlight the need for transboundary collaboration to sustain water-constrained energy demand and to develop targeted measures to mitigate stress on water resources within a river basin.

International trade affects CO 2 emissions by redistributing production activities to places where the emission intensities are different from the place of consumption. This study focuses on the net emission change as the result of the narrowing gap in emission intensities between the exporter and importer. Here we show that the relocation of production activities from the global North (developed countries) to the global South (developing countries) in the early 2000s leads to an increase in global emissions due to the higher emission intensities in China and India. The related net emissions are about one-third of the total emissions embodied in the South-North trade. However, the narrowing emission intensities between South-North and the changing trade patterns results in declining net emissions in trade in the past decade. The convergence of emission intensities in the global South alleviates concerns that increasing South-South trade would lead to increased carbon leakage and carbon emissions. The mitigation opportunity to green the supply chain lies in sectors such as electricity, mineral products and chemical products, but calls for a universal assessment of emission intensities and concerted effort., (© 2023. The Author(s).)

The globally booming renewable power industry has stimulated an unprecedented interest in metals as key infrastructure components. Many economies with different endowments and levels of technology participate in various production stages and cultivate value in global renewable power industry production networks, known as global renewable power value chains (RPVCs), complicating the identification of metal supply for the subsequent low-carbon power generation and demand. Here, we use a multi-regional input-output model (MRIO) combined with a value chain decomposition model to trace the metal footprints (MFs) and value-added of major global economies' renewable power sectors. We find that the MFs of the global renewable power demand increased by 97% during 2005-2015. Developed economies occupy the high-end segments of RPVCs while allocating metal-intensive (but low value-added) production activities to developing economies. The fast-growing demand for renewable power in developed economies or developing economies with upper middle income, particularly China, is a major contributor to the embodied metal transfer increment within RPVCs, which is partly offset by the declining metal intensities in developing economies. Therefore, it is urgent to establish a metal-efficient and green supply chain for upstream suppliers as well as downstream renewable power installers for just transition in the power sector across the globe., (© 2023. The Author(s).)

This study aimed to provide a panorama of artificial intelligence (AI) in acupuncture by characterizing and visualizing the knowledge structure, hotspots and trends in global scientific publications. Publications were extracted from the Web of Science. Analyses on the number of publications, countries, institutions, authors, co-authorship, co-citation and co-occurrence were conducted. The USA had the highest volume of publications. Harvard University had the most publications among institutions. Dey P was the most productive author, while lczkowski KA was the most referenced author. The Journal of Alternative and Complementary Medicine was the most active journal. The primary topics in this field concerned the use of AI in various aspects of acupuncture. "Machine learning" and "deep learning" were speculated to be potential hotspots in acupuncture-related AI research. In conclusion, research on AI in acupuncture has advanced significantly over the last two decades. The USA and China both contribute significantly to this field. Current research efforts are concentrated on the application of AI in acupuncture. Our findings imply that the use of deep learning and machine learning in acupuncture will remain a focus of research in the coming years.

Microeukaryotic plankton, with its extremely diverse taxa, is a key component in both the marine food web and biogeochemical cycling. Coastal seas, which are home to the numerous microeukaryotic plankton that underpin the functions of these aquatic ecosystems, are often impacted by human activities. However, understanding the biogeographical patterns of diversity and community structure of microeukaryotic plankton and the role that major shaping factors play at the continent scale is still a challenge in coastal ecology. Here, the biogeographic patterns of biodiversity, community structure, and co-occurrence patterns were investigated by environmental DNA (eDNA) based approaches. Unlike most eDNA studies, we combined several methods (in silico PCR, mock and environmental communities) to systematically evaluate the specificity and coverage of primers to overcome the limitation of marker selection on biodiversity recovery. The 1380F/1510R primer set showed the best performance for the amplification of coastal plankton with the highest coverage, sensitivity, and resolution. We showed a unimodal pattern for planktonic alpha diversity with latitude (P < 0.001), and nutrient-related factors (NO 3 N, NO 2 N, and NH 4 N) were the leading predictors for spatial patterning. Significant regional biogeographic patterns and potential drivers for planktonic communities were found across coastal regions. All communities generally fitted the regional distance-decay relationship (DDR) model with the strongest spatial turnover rate was found in the Yalujiang (YLJ) estuary (P < 0.001). The environmental factors, especially inorganic nitrogen and heavy metals (HMs), had the greatest impact on planktonic community similarity in the Beibu Bay (BB) and East China Sea (ECS). Furthermore, we observed spatial plankton co-occurrence patterns, and the networked topology and structure were strongly driven by potential anthropogenic activity factors (nutrients and HMs). Overall, our study provided a systematic approach for metabarcode primer selection in eDNA-based biodiversity monitoring and revealed that the spatial pattern of the microeukaryotic plankton community was mainly controlled by regional human activity-related factors., Competing Interests: Declaration of Competing Interest The authors declare that they have no conflict of interest., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Rapid anthropogenic nutrient enrichment has caused widespread ecological problems in aquatic ecosystems and the resulting eutrophication has dramatically changed fish communities throughout the world. However, few studies addressed how fish communities responded to eutrophication in terms of multidimensional functional and taxonomic structure, especially how eutrophication acted as an environment filter on functional traits. The aim of the present study was to investigate the effects of eutrophication on fish species composition, community metrics and species functional traits in 26 shallow lakes from the middle reaches of Yangtze River basin, China. This study validated that eutrophication is an important factor shaping the fish community structure. Regression analyses showed that eutrophication favored higher total biomass and lower functional diversity of fish communities but had little effect on species richness. Despite the fact that some pelagic zooplanktivorous species were more abundant in the most eutrophic lakes, multivariate analyses of the relationships between species traits and environmental variables revealed weak relationships between feeding traits and eutrophication. In contrast, species with a benthic life stage were negatively associated with eutrophication while those with a large body size and high absolute fecundity showed the opposite trend. Due to demersal habitat degradation, and to a lesser degree, to changes in trophic resources availability, eutrophication caused functional simplification of fish communities by increasing functional traits homogeneity among the most tolerant species. Some relationships between functional traits and eutrophication well established in the western palearctic have not been observed in this study, emphasizing the importance of biases resulting from specific evolutionary histories. This work will provide useful insights on on-going restoration and management of shallow lakes in the Yangtze River basin., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Toxic chemicals have severe impacts on ecosystem, climate change and human health, and the current toxic releases are inequitably distributed across regions. Investigating the toxic release embodied in final demand by states and income groups can reveal the responsibility transfer of different entities. In this paper, we extended the U.S. multi-regional input-output (MRIO) model with toxic chemical release data in 2017 to conduct the production- and consumption-based accounting of toxic release by each state, and the inter-regional transfer of embodied toxic release between states. In addition, this paper analyzed how the toxic releases and inter-state transfer of embodied toxic release have been driven by income groups across states. The results showed that the toxic release from production was highly concentrated on the central states and the Great Lakes Region, while the consumption-based accounting of toxic release was more equally distributed across regions in the US. The non-metallic and metallic products manufacturing sectors were the most important sectors for most states from both production and consumption-based perspectives and were also the most essential sectors for interregional flows of embodied toxic release from Great Lake Region to Southeast, Mid-Atlantic and Northeast. Our results also showed that the largest portion (41.88%) of embodied toxic releases were triggered by households' final demand, and that the consumption of the richest 35% of households contributed to more than 50% of the total toxic chemical releases triggered by total final demand of all households., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022. Published by Elsevier Ltd.)

To feed the growing human population, natural grasslands are being converted to agricultural use at a massive scale. This conversion may have negative consequences for soil biodiversity, but its impact on the community assembly of differentially microbial groups remains largely unknown. Here, we investigated the diversity and community compositions of bacteria, archaea, fungi and protists, using a paired sampling of grassland and cropland soils across the agro-pastoral ecotone of northern China. Land-use conversion decreased α diversity of bacteria, fungi and protists, and altered the structures of the entire soil microbial community (archaea, bacteria, fungi and protists). The community assembly of archaea and bacteria was dominated by stochastic processes, and that of protists dominated by deterministic processes in both land-use types. By contrast, the fungal community was governed more strongly by stochastic processes in grassland soil, than by deterministic processes in cropland soil. Our findings support the 'size-plasticity' hypothesis that smaller body-sized microorganisms (archaea and bacteria) are more structured by stochastic processes, and larger one (protist) is more influenced by deterministic processes. Our study demonstrates that distinct ecological processes govern microbial community assembly, and land-use change regulates the balance between determinism and stochasticity., (© 2022 Society for Applied Microbiology and John Wiley & Sons Ltd.)

Relocating pollution-intensive factories is one of the most effective measures to meet mandatory environmental regulations in developed cities while simultaneously imposing environmental pressure on the receiving cities. Existing studies often assume that relocated plants produce the same or higher emissions when relocated. However, the current pollution mitigation policies enforce even higher emission standards in the destination after plant relocation. We employ a bottom-up pollution accounting approach to assess the impact of intraregional or interregional relocation of iron and steel plants in China's Beijing-Tianjin-Hebei (BTH) area on various air pollutants; specifically, seven policy scenarios are modeled, based on stringency, implementation scope, and production technologies. We find that relocation combined with emission standards enforcement and shifts from BOF (basic oxygen furnace) to EAF (electric arc furnace) production technology may significantly reduce emissions within and outside BTH areas by as much as 28.8% compared to business as usual. The observed reduction is mainly due to the requirement of meeting ultralow emission standards directly or indirectly after relocation. Both origin and destination cities benefit from the relocation, with limited emission spillovers (+9.1%) for destinations outside BTH and even a net reduction (9.4%) in Tangshan. We conclude that combining factory relocation with stricter emission standards and production technological innovation could circumvent the Pollution Haven Hypothesis and deliver win-win air pollution reduction benefits for both origins and destinations.

The linkages between phytoplankton and zooplankton are crucial for the stability of complex food webs and the flow of energy within the marine ecosystem. Despite body size exhibiting multiple effects on the planktonic community assembly and the dispersal scale, its role in determining the stability of phyto-zooplanktonic co-occurrence patterns remains unclear. Here, we focused on more than 13,000 kilometers of the Chinese coast to study the diatom-dominated plankton ecosystem and to report the significant negative effects of zooplanktonic body sizes on the topological properties of phyto-zooplanktonic networks (PZNs) by using more than 500 species from 251 samples taken along the coastline. PZNs tended to be more complex and stable when phytoplankton associated with smaller zooplankton. Particularly, the subnetworks of dominant phytoplankton displayed differences with different zooplanktonic body sizes. The zooplankton with larger and smaller body sizes tended to interact with dinoflagellates and diatoms, respectively. Additionally, abiotic factors (i.e., water temperature, pH, salinity, and metal concentrations) displayed significant effects on PZNs via the shifting of zooplanktonic composition, and the zooplanktonic body sizes altered the network modules' associations with different environmental factors. Our study elucidated the general relationship between zooplanktonic body sizes and the stability of PZNs, which provides new insights into marine food webs. IMPORTANCE Body size is a key life trait of aquatic plankton that affects organisms' metabolic rates and ecological functions; however, its specific effects on interactions between phytoplankton and zooplankton are poorly understood. We collected planktonic species and their body size data along more than 13,000 kilometers of coastline to explore the role of zooplanktonic body size in maintaining the stability of phyto-zooplanktonic networks (PZNs). We found that zooplankton play a more important role in maintaining PZN stability than do phytoplankton as well as that the PZN would be more complex and stable with smaller zooplankton. Furthermore, this work revealed that body size significantly determined the relationships between environmental factors and network structure. Overall, these findings lay a general relationship between zooplanktonic body sizes and the stability of PZNs, which helps us further explore the micro food web of coastal ecosystems.

Competing Interests: Conflict of interest The authors declare that they have no conflict of interest.

Dengue virus (DV) has occasionally emerged at epidemic levels in Yunnan, China. Vaccine development is limited by antibody-dependent enhancement and a lack of good animal models. Thus, the study investigated cross infection based on maternal immunity in BALB/c mice and assessed the risk of cross infection by DV2-D13113 and DV3-YNWS2 epidemic virus strains. DV replicated within the organs of the BALB/c infant mice, even causing death. Particularly, DV3-infected infant mice were at higher risk of severe disease if their mothers were infected with DV2. Although BALB/c adults and pups survived DV2/DV3 infection and produced anti-DV antibodies after 5-8 days, extensive subcutaneous vascular leakage was observed after secondary DV infection. Furthermore, vascular permeability in the lung and kidney significantly increased in offspring born to heterotypic virus-infected mothers. Thus, vascular leakage indicates severe DV infection. The results indicate that maternal immunity increases the severity of subsequent heterotypic infection. Additionally, secondary cross infection by D13113 and YNWS2 represents a risk of serious disease. This study has implications for studies of DV cross infection and vaccine development., (© 2022 Wiley Periodicals LLC.)

China provides over 80% of global rare earth (RE) that caused serious domestic environmental impacts. However, how much RE-related pollution was transferred to China along global supply chain remains poorly understood. Here we, for the first time, established the RE industry-specific input-output approaches to trace environmental costs transfer through China's RE exports from whole supply chain perspective. We found that foreign consumption contributed over half of the environmental costs from China's RE production, with a gross value increasing from $4.8 billion (65% of total environmental costs) in 2010 to $5.4 billion in 2015 (74% of total environmental costs). Countries in the East Asia (i.e., Japan and South Korea) made the largest contribution (27-37%) to the exports induced environmental costs, followed by North America (i.e., the United States, Mexico, and Canada) with a contribution of 20-27% and the rest East Asia (including countries in Asia-Pacific except China Mainland, by 16-23%). Exports induced environmental costs were mainly from RE raw materials (60%) and high value-added products (22%). Suggestions such as rationalizing RE cost as well as production- and consumption-based measures to mitigate environmental impacts were proposed to enhance RE utilities for global sustainable development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Benggang with steep collapsing walls is one of the worst soil erosion problems in South China. The collapse of walls is the most critical process in Benggang development. This is mainly due to the soil water properties. The soil water characteristic curve (SWCC) is a key indicator for analyzing soil moisture, but the SWCC and its mechanism of influence in collapsing walls remain obscure. A pressure plate meter was used for drying experiments to research the SWCCs of undisturbed soils of five layers (from top to bottom: red soil layer, transition layer I, sand soil layer, transition layer II and detrital layer) of two typical collapsing walls. The van Genuchten (VG) model can be fitted to the SWCCs for different layers (NSE ≥ 0.90). With increasing soil depth, the parameters a and θ s first decreased and then increased, the parameters n declined as the soil depth increased. These findings illustrate that soil water holding capacity decreases with increasing soil depth. The bottom of the soil is weak in water retention and water can easily reach saturation, resulting in a decline in soil stability, thus promoting soil collapse and finally inducing upper soil collapse. Furthermore, gravel content and particle morphology are factors that should not be neglected for SWCCs. The results of this study provide a theoretical basis for understanding the process of wall collapse in Benggang landforms in South China.θ r declined as the soil depth increased. These findings illustrate that soil water holding capacity decreases with increasing soil depth. The bottom of the soil is weak in water retention and water can easily reach saturation, resulting in a decline in soil stability, thus promoting soil collapse and finally inducing upper soil collapse. Furthermore, gravel content and particle morphology are factors that should not be neglected for SWCCs. The results of this study provide a theoretical basis for understanding the process of wall collapse in Benggang landforms in South China., Competing Interests: The authors declare that they have no competing interests., (© 2022 Zhang et al.)

Cyetpyrafen belonging to mitochondrial electron transport inhibitors of complex II (METI II) has been widely applied to manage pest mites in China. To investigate the adaption of Tetranychus urticae in the evolution of cyetpyrafen resistance, a study of cross resistance, mode of inheritance and fitness comparison of resistance using indoor cyetpyrafen resistant strain (resistance ratio, RR > 2, 000-fold) was executed. Cyet-R showed serious cross resistance to cyenopyrafen (>2500-fold) and cyflumetofen (~190-fold). The number of resistant genes was evaluated via chi-square (χ 2 ) test and the concentration-response curve regarding goodness-of-fit between observed and the expected mortality. The LC 50 s of F 1RS (Cyet-R ♀  × Tu-YN ♂ ) and F 1SR (Tu-YN ♀  × Cyet-R ♂ ) were 3126.30 mg/L and 2743.97 mg/L, respectively, without significance, suggesting autosomal inheritance. The degree of dominance (D) values of F 1RS and F 1SR ranged between 0 and 1, revealing an incompletely dominant inheritance in the tested population of Tetranychus urticae. Plots of concentration-response data for the orthogonal backcross and reverse backcross progenies showed a significant deviation from the expected lines, pointing out a polygenic inheritance. Besides, lifetable analysis showed a fitness advantage of Cyet-R with a significantly decreased adult preadult period and significantly increased total fecundity. This study suggested that cyetpyrafen resistance against T. urticae was inherited as autosomal, incompletely dominant and multigenetic and characterized with serious cross resistance and fitness advantage. Therefore, rational application and preventive strategy should be considered to sustain the efficacy of cyetpyrafen against T. urticae., (Copyright © 2022. Published by Elsevier Inc.)

Intensive and frequent climate change events (e.g., droughts or extreme weather) significantly affect vulnerable water-limited ecosystems. Until now, the ecosystem stability against climate changes in regional scale sandy lands remain unclear. In this study, the AutoRegression (ARx) model was combined with time-series Net Primary Productivity (NPP) data to extract stability metrics (e.g., temporal stability, resilience, drought-resistance, and temperature-resistance) to evaluate the stability of the main sandy land regions of Northern China. Strong correlations among ecosystem stability metrics were found in the study area, such as the significant negative correlation between resilience and resistance (r = -0.49, p < 0.01), the strong positive correlation between drought-resistance and temperature-resistance, (r = 0.81, p < 0.01), except for the uncorrelation between resilience and temporal stability. Meanwhile, more unstable regions were found in the western low- or moderate-cover sandy grassland. Due to the differences of factors (e.g. hydrothermal conditions, vegetation species composition, and other disturbances or anthropogenic impacts), the unstable grasslands and barren regions, Otindag and Hulun Buir sandy lands, and slightly desertified area (SL) presented more resilience but less resistance and variance than the forest and cropland, Horqin Sandy Land, and Moderate (M) or Severe desertified areas (S), respectively. Thus, the unstable low-or moderate-cover grassland and SL area should be paid much more attention to meet the challenges of more intense climate extremes in the future., (Copyright © 2022. Published by Elsevier Ltd.)

Environmental pollution in the Pearl River Delta (PRD) region is largely driven by socioeconomic forces outside the region as vast majority of manufacturing products produced in the region are destined to national and international markets. Given the remarkable economic transformation of the PRD in the past decades, this study investigates the impacts of local, provincial, national, and global socio-economic drivers on PRD's pollution dynamics under the background of significant economic restructuring and upgrading from 1987 to 2017. The results indicate that changes in pollution pattern were deeply shaped by the economic transformation. The share of PRD's emissions driven by international exports expanded significantly before 2007 as a result of the fast growth of international exports. The transformation of economic growth to domestic consumption driven model since the 2007-2008 global financial crisis had resulted in an increasing contribution share to the PRD's environmental pollution from local demand and trade with Rest of China (RoC). Similarly, as final demand structure evolving towards the high value-added manufacturing and services, the share of emissions driven by low value-added manufacturing (LVM) demand had decreased by an enlarged margin, while that driven by high value-added manufacturing (HVM) demand and services demand had moved in the opposite direction. The structural decomposition analysis shows that reduction in emission intensity remains the most effective way in pollution alleviation. The contribution of changes in production input structure also shifted from a strong impetus force before 2007 to a mitigating force afterwards due to significant technological progresses in the industrial sectors since the global financial crisis. With the marginal cost of reducing emission intensity becoming prohibitively expensive, the optimization of production structure and consumption pattern is likely to play more important role in future emission mitigation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Since the Yellow River is a main source of water in Ningxia China, maintaining its healthy ecological environment is vital to Ningxia and the neighboring areas. Changes of land use caused by human activities such as population growth, urbanizing process, and industrial and mining construction would affect the balance and cycle of water in the Basin. Therefore, investigating hydrological responses of land use changes can provide insights into the characteristics and evolution of runoff the Yellow River Basin in the Ningxia section. This has imperative and practical significance to the rational use, allocation, and planning of water resources in a changing environment. In this paper, we analyzed the meteorological and hydrological elements of changing characteristics of the Yellow River Basin in the Ningxia section. Then we selected a distribution-based hydrology model of SWAT in combination with GIS to simulate annual and monthly runoff under different land use scenarios. Finally, we analyzed the influence caused by the changes of land use on runoff. We concluded that it is appropriate to lay a decision-making foundation to manage water resources of the Yellow River Basin in the Ningxia section., Competing Interests: The authors have declared that no competing interests exist.

After dengue virus (DENV) infection, antibody-dependent enhancement (ADE) is easy to occur when the neutralizing antibody (NAb) gradually decreases to a sub-neutralizing concentration. In this cohort surveillance, we utilized sera samples collected from dengue fever patients at different convalescent phases in Jinghong City, to investigate the dynamic change rule of DENV-specific antibodies, and to analyze the risk of ADE caused by secondary infection with heterologous serotypes DENVs. For baseline serosurvey, 191 four-year and 99 six-year sera samples during convalescence were collected in 2017 and 2019, respectively. The positive rate of DENV-specific immunoglobulin G was 98.4% in 2017, which significantly decreased to 82.8% in 2019. The geometric mean titer (GMT) of NAb decreased from 1:155.35 to 1:46.66. Among 290 overall samples, 73 paired consecutive samples were used for follow-up serosurvey. In four-year sera, the GMTs of NAb against DENV-3 and cross-reactive antibodies against DENV-1, DENV-2 and DENV-4 were 1:167.70, 1:13.80, 1:18.54 and 1:45.26, respectively, which decreased to 1:53.18, 1:10.30, 1:14.60 and 1:8.17 in six-year sera. In age-stratified analysis, due to the increasing number of ADE positive samples from 2017 to 2019 in 31-40 and 51-60 years groups, the risk of ADE in DENV-4 infection was positively associated with the extension of convalescent phase, and the odd ratio was higher than other groups. With the recovery period lengthened, the risk of secondary infection with DENV-1 and DENV-2 was reduced. Our results offer essential experimental data for risk prediction of severe dengue in hyper-endemic dengue areas, and provide crucial scientific insight for the development of effective dengue vaccines., Competing Interests: Conflict of interest The authors declare that they have no conflict of interest., (Copyright © 2021 The Authors. Publishing services by Elsevier B.V. All rights reserved.)

Abstract: All-oral direct-acting antiviral therapies are becoming the choice for hepatitis C (HCV) treatment. In this study, we aimed to evaluate the efficacy and safety of ritonavir-boosted danoprevir (DNVr) plus sofosbuvir±ribavirin on HCV genotype 1, 2, 3, or 6 in the real world in China.In this observational, prospective, multicenter cohort, we enrolled a total of 58 patients with HCV genotype 1, 2, 3, or 6 patients from July 2018 to December 2019. All patients were treated with DNVr plus sofosbuvir ± ribavirin for 12 weeks and then followed up for 12 weeks. The primary endpoint was the rate of sustained virologic response at week 12 after the end of treatment (SVR12). The secondary endpoint was virologic response rate at end-of-treatment and adverse event outcome.Of the 58 patients who were enrolled, 5.2% (n = 3) had genotype 1a; 43.1% (n = 25) had HCV genotype 1b; 17.2% (n = 10) had genotype 2a; 5.2% (n = 3) had genotype 3a; 8.6% (n = 5) had genotype 3b; and 20.7% (n = 12) had genotype 6a. The virologic response rate at end-of-treatment was 100% (58/58). The HCV-RNA results of 5 patients were absent at week 12 after treatment. Among the 53 patients, SVR12 rate achieved 100% (53/53) with DNVr plus sofosbuvir ± ribavirin treatment in patients with HCV genotype 1b, 2a, 3, and 6a. For compensated cirrhosis and noncirrhosis patients, SVR12 was 100% with DNVr plus sofosbuvir ± ribavirin treatment. No serious event was observed during the treatment and follow-up. Only 5 patients had mild adverse events.DNVr plus sofosbuvir ± ribavirin for 12 weeks provided 100% SVR12 in a broad patient population and were well tolerated, which may be a promising regimen for CHC treatment., Competing Interests: The authors report no conflicts of interest., (Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.)

Terrestrial geothermal ecosystems, as a representative of extreme environments, exhibit a variety of geochemical gradients, and their microbes are thought to be under high stress through environmental selection. However, it is still unclear how stochasticity and biotic interactions contribute to the microbial community assembly in hot springs. Here, we investigated the assembly processes and co-occurrence patterns of microbiota (i.e. bacteria and archaea) in both water and sediments sampled from fifteen hot springs in the Tengchong area, Southwestern of China, using 16S rRNA gene sequencing combined with multivariate ecological and statistical methods. These hot springs harbored more specialists than non-geothermal ecosystems, which are well-adapted to the extreme conditions, as shown by extremely high nearest-taxon index (NTI) and narrower niche width. Habitat differentiation led to the differences in microbial diversity, species-interactions, and community assembly between water and sediment communities. The sediment community showed stronger phylogenetic clustering and was primarily governed by heterogeneous selection, while undominated stochastic processes and dispersal limitation were the major assembly processes in the water community. Temperature and ferrous iron were the major factors mediating the balance of stochastic and deterministic assembly processes in sediment communities, as evidenced by how divergences in temperature and ferrous iron increased the proportion of determinism. Microbial interactions in sediments contributed to deterministic community assembly, as indicated by more complex associations and greater responsiveness to environmental change than water community. These findings uncover the ecological processes underlying microbial communities in hot springs, and provide potential insight into understanding the mechanism to maintain microbial diversity in extreme biospheres., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Sustainable water management is one of the sustainable development goals (SDGs) and is characterized by a high level of interdependencies with other SDGs from regional to global scales. Many water assessment studies are restricted to silo thinking, mostly focusing on water-related consequences, while lacking a quantification of trade-offs and synergies of economic, social, and environmental dimensions. To fill this knowledge gap, we propose a "nexus" approach that integrates a water supply constrained multi-regional input-output (mixed MRIO) model, scenario analysis, and multi-criteria decision analysis (MCDA) to quantify the trade-offs and synergies at the sectoral level for the capital region of China, i.e. the Beijing-Tianjin-Hebei urban agglomeration. A total of 120 industrial transition scenarios including nine major industries with high water-intensities and water consumption under current development pathways were developed to facilitate the trade-off and synergy analysis between economic loss, social goals (here, the number of jobs) and environmental protection (with grey water footprint representing water pollution) triggered by water conservation measures. Our simulation results show that an imposition of a tolerable water constraint (a necessary water consumption reduction for regional water stress level to move from severe to moderate) in the region would result in an average economic loss of 68.4 (± 16.0) billion Yuan (1 yuan ≈ 0.158 USD$ in 2012), or 1.3 % of regional GDP, a loss of 1.94 (± 0.18) million jobs (i.e. 3.5 % of the work force) and a reduction of 1.27 (± 0.40) billion m 3 or about 2.2% of the regional grey water footprint. A tolerable water rationing in water-intensive sectors such as Agriculture, Food and tobacco processing, Electricity and heating power production and Chemicals would result in the lowest economic and job losses and the largest environmental benefits. Based on MCDA, we selected the 10 best scenarios with regard to their economic, social and environmental performances as references for guiding future water management and suggested industrial transition policies. This integrated approach could be a powerful policy support tool for 1) assessing trade-offs and synergies among multiple criteria and across multiple region-sectors under resource constraints; 2) quantifying the short-term supply-chain effects of different containment measures, and 3) facilitating more insightful evaluation of SDGs at the regional level so as to determine priorities for local governments and practitioners to achieve SDGs., Competing Interests: Declaration of Competing Interest None., (Copyright © 2021. Published by Elsevier Ltd.)

Purpose: To characterize the classification, incidence, diagnosis and prognosis of traumatic choroidal injuries., Methods: Subjects were selected from the database of the Eye Injury Vitrectomy Study (EIVS) and were examined for occurrences of different categories of choroidal injuries. Standard photographs were collected. Anatomical and visual outcomes were assessed in patients with greater than 1 year of follow-up. Eyes that had no light perception (NLP) and/or phthisis bulbi were defined as having had unfavourable outcomes. The percentage of eyes with an unfavourable outcome was analysed for different types of choroidal injuries., Results: Nine categories of choroidal injuries with distinctive features were identified in the EIVS database. The incidence and the percentage of eyes with an unfavourable outcome in each injury category were as follows: suprachoroidal effusion, 21.2% (7.2%); suprachoroidal haemorrhage, 12.8% (11.2%); massive suprachoroidal haemorrhage, 4.0% (64.9%); choroidal avulsion, 4.2% (92.2%); traumatic chorioretinal rupture, 1.8% (13.3%); choroidal rupture, 4.8% (6.8%); choroidal loss, 1.6% (79.3%); choroidal hole, 1.1% (5.3%); and choroidal damage at the wound site, 39.2% (17.7%)., Conclusions: Ocular trauma can cause a variety of choroidal injuries that have distinctive features, some of which are associated with a high frequency of unfavourable prognoses., (© 2020 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.)

Objective: This study aimed to describe the area under the plasma concentration-time curve (AUC) and the relationship with hematological toxicity plus clinical responses of docetaxel in patients with nasopharyngeal carcinoma. Furthermore, a suitable docetaxel exposure level would be identified to guide clinical dosing., Materials and Methods: 96 patients with locally advanced or metastatic nasopharyngeal carcinoma treated with docetaxel-based chemotherapy were enrolled. Docetaxel was measured by turbidimetric immunoassay. Associations between docetaxel exposure and hematologic toxicity, effect, and recurrence time were analyzed. Receiver operating characteristic curve analysis was performed to determine an optimal AUC value to predict the decrease in absolute neutrophil counts., Results: Interpatient variability was large with regard to exposure (AUC) and clearance. The AUC values of 76 patients in course 1 varied more than 4 fold (3.17 ± 0.84 µg×h/mL, ranging from 1.4 to 6.0 µg×h/mL). Clearance was 42.8 L/h (ranging from 20.8 to 73.7 L/h) with ~ 3-fold interindividual variability. The incidence of grade 3/4 leukopenia, 3/4 neutropenia, and febrile neutropenia was 46.3, 85.2, and 13.5%, respectively, in course 1. Docetaxel exposure was the only significant predictor (p < 0.001) of severe toxicity, including grade 4 neutropenia and febrile neutropenia. A cutoff value of 2.85 µg×h/mL was selected as the target AUC. Higher AUC values were not observed to be associated with better drug effect., Conclusion: The dose was calculated based on individual clearance and a target AUC of 2.85 µg×h/mL, helping to adjust the next cycle of doses and solve interpatient variability.

Objectives: We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status and human mobility status., Design: A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted., Setting: We use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1005 US counties., Participants: A total of 69 498 cases in China and 740 843 cases in the USA are used for calculating the effective reproductive numbers., Primary Outcome Measures: Regression analysis of the impact of temperature and relative humidity on the effective reproductive number ( R value)., Results: Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number ( R value) in both China and the USA., Conclusions: Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature by 1°C is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI (-0.0395 to -0.0125)) in China and by 0.020 (95% CI (-0.0311 to -0.0096)) in the USA; an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI (-0.0108 to -0.0045)) in China and by 0.0080 (95% CI (-0.0150 to -0.0010)) in the USA. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: To explore the possible causes of tomography suspect keratoconus (TSK) marked by Tomography in screening keratoconus in a Chinese cohort, and the reasonable range of corneal horizontal diameter and thickness for decreasing the proportion of TSK., Methods: Nested case-control study from a single center prospective cohort. All subjects were selected from the Peking University Third Hospital Ectasia Cornea Disease Cohort Project database, which included myopic patients seeking corneal refractive surgical corrections since 2013. Demographic information, basic eye examination, and auxiliary equipment examination including refraction, IOL-master, Pentacam, Sirius, and Topolyzer were recorded. In this study, all cases were classified into two groups: TSK group and normal control (NC) group, and all of them were followed up at least 2 years. The former is consisted of those whose screening examinations of tomography are abnormal, the latter is those whose screening examinations are normal. All of them have already been followed up at least 2 years without abnormalities after excimer laser corneal refractive surgeries. Unpaired t tests and Chi-square tests were used to compare the differences of indices from the tomography between the two groups., Results: Of 183 TSK eyes (109 patients) and 160 NC eyes (83 patients), the mean age is 28.0 and 26.3 years old respectively. The corneal horizontal diameter is 11.5-11.8 mm in TSK group and 11.8-12.0 mm in NC group. The central corneal thickness is nearly 520 μm in the former and 550 μm in the latter. For Sirius, the TSK ratio of indices of SIf and SIb is 41.5 and 39.9% respectively in TSK group. For Pentacam, the TSK ratio of index IHD is 59.0% and "final D" is 72.7%., Conclusions: Corneal horizontal diameter and central corneal thickness have great influences on the results of corneal tomography in detecting the suspect keratoconus.

Drought is a major natural disaster that significantly impacts the susceptibility and flexibility of the ecosystem by changing vegetation phenology and productivity. This study aimed to investigate the impact of extreme climatic variation on vegetation phenology and productivity over the four sub-regions of China from 2000 to 2017. Daily rain gauge precipitation and air temperature datasets were used to estimate the trends, and to compute the standardized precipitation-evapotranspiration index (SPEI). Remote sensing-based Enhanced Vegetation Index (EVI) data from a moderate resolution imaging spectroradiometer (MODIS) was used to characterize vegetation phenology. The results revealed that (1) air temperature had significant increasing trends (P < 0.05) in all sub-regions. Precipitation showed a non-significant increasing trend in Northwest China (NWC) and insignificant decreasing trends in North China (NC), Qinghai Tibet area (QTA), and South China (SC). (2) Integrated enhanced vegetation index (iEVI) and SPEI variations depicted that 2011 and 2016 were the extremely driest and wettest years during 2000-2017. (3) Rapid changes were observed in the vegetation phenology and productivity between 2011 and 2016. In 2011, changes in the vegetation phenology with the length of the growing season (ΔLGS) = was - 14 ± 36 days. In 2016, the overall net effect changed at the onset and end of the growing season with ΔLGS of 34 ± 71 days. The change in iEVI per SPEI increased rapidly with a changing rate of 0.16 from arid (NWC, and QTA) to semi-arid (NWC, QTA and NC) and declined with a rate of - 0.04 from semi-humid (QTA, NC, and SC) to humid (SC) region. A higher association was observed between iEVI and SPEI as compared to iEVI and precipitation. Our finding exposed that north China is more sensitive to climatic variation.

The Sanjiangyuan region is the source of the Yangtze, Yellow, and Lantsang rivers and is an important water conservation area in China. Due to the high altitude and cold climate in the region, the vegetation ecosystem has become very sensitive to environmental changes. In recent decades, due to the impact of climate change and human activities, the grassland degradation and desertification in this region have become very serious. In order to study the changes in aeolian desertification of grassland (ADG) in Sanjiangyuan, the Landsat images and GIS technology were used to monitor the dynamics of ADG from 1975 to 2015, and the driving factors behind this were analyzed. The results revealed that from 1975 to 2000, the area of ADG increased by 2855.8 km 2 , and the growth rate was 114.23 km 2  a -1 . In contrast, the ADG was restored from 2000 to 2015, with a decrease of 1286.54 km 2 and a rate of 85.77 km 2  a -1 . The main reasons for the expansion of ADG in the early stage were the rising temperature, the fluctuation of precipitation and wind speed, and the increase in intensified human activities. The main reasons for the reversal of ADG in the later stage were the warming and humidification of the climate, the reduction in wind speed, and the reduction in human activities and restoration of grassland caused by the ecological protection project.

Changes in potential evapotranspiration will affect the surface ecology and environment of the land. Accurate and quick estimation of potential evapotranspiration will help to analyze environmental change. In this study, in combination with the canonical correlation analysis (CCA) and k-nearest neighbor algorithm (k-NN), a new method for calculating potential evapotranspiration (CCA-k-NN) based on self-optimizing nearest neighbor algorithm was proposed, in which less meteorological data were used for estimation. By analyzing the basic principles of CCA and k-NN and according to the requirement of estimating ET 0 , the CCA-k-NN method was constructed, and its basic principles and key steps were described. In this method, CCA algorithm was used to find the most relevant meteorological data for potential evapotranspiration, and the dimensionality of meteorological data for subsequent estimation of ET 0 was reduced. Then, k-NN algorithm was used to estimate ET 0 . The Northwest of China was chosen as the research area to evaluate the applicability of this method. The 148 data stations in the region were divided into training datasets, testing datasets, and validation datasets. ET 0 was estimated on three datasets using the proposed method, and the estimation accuracy of the CCA-k-NN method was evaluated with FAO-56 Penman-Monteith as a reference. The results show that the CCA-k-NN method maintains a high correlation with FAO-56 Penman-Monteith (correlation coefficient is greater than 0.9) and has a good estimation accuracy. RMSE and MAE are both less than 1 mm day -1 , and the overall performance of NSCE is greater than 0.5, all of which reach the level of "applicable" and above. At the same time, the CCA-k-NN method has low time complexity O(n). Comparison of the results of the CCA-k-NN method with those of other empirical models showed that the CCA-k-NN method is more accurate and can be employed successfully in estimating ET 0 .

The infectious bronchitis virus (IBV) is an acute and highly contagious disease, which affects chickens of all ages. Vaccination is the most important way to control this disease. Nevertheless, novel variant strains are constantly reported because of the lack of proofreading capabilities of RNA polymerase and high frequency of homologous RNA recombination. Cross-protection studies has demonstrated that the vaccines could provide great protective effects against viruses of same serotype or genotype. However, the protective effect of different commercial vaccines and vaccine combinations against the prevalent IBV strains in China has rarely been studied. Owing to the multiple genotype or serotype IBV strains prevalence in China, the polyvalent vaccines and their composition were used to expanding the protection spectrum of vaccine in practical application. To evaluate the protection of Chinese commercial IBV polyvalent vaccines against prevalent strains (QX-like and TW I-like), an immune challenge test was conducted. Four polyvalent vaccines, containing 4/91, H120, YX10p90, LDT3-A, and 28/86, were combined to form 8 vaccination strategies, almost all of which could provide more than 70% protection effects against challenge with QX-like strain. Particularly, the best protection rate (93%) was generated by administration the polyvalent vaccine C (H120 + 28/86 + 4/91) at 1 D of age and the polyvalent vaccine B (H120 + 4/91 + YX10p90) at 10 D of age. However, all the vaccination strategies in this study cannot provide great protective effects against TW-like strain, and more vaccines should be included in studies to expand the protection spectrum of vaccine. Therefore, for the newly emerging IBV strains, immunization with polyvalent vaccines via different vaccination strategies could be used to control the prevalence of IBV in a short time, whereas developing the homologous vaccines was not always necessary., (Copyright © 2020. Published by Elsevier Inc.)

Objective: To investigate the epidemiological characteristics of human echinococcosis in Inner Mongolia Autonomous Region, so as to provide evidence for the development of the precision control strategy of human echinococcosis in the region., Methods: A sampling survey of human echinococcosis was conducted in 28 banners (counties, districts) of Inner Mongolia Autonomous Region from 2012 to 2017, and the epidemiological characteristics were descriptively analyzed., Results: A total of 90 058 residents were examined for echinococcosis in 28 banners (counties, districts) of Inner Mongolia Autonomous Region from 2012 to 2017, and 71 patients were detected with echinococcosis, with a detection rate of 0.08%. No echinococcosis cases were identified in 8 banners (counties), and there were 6 banners (counties) with echinococcosis prevalence of 0.1% to 1%, and 14 with prevalence of 0 to 0.1%. The echinococcosis prevalence was significantly greater in women (0.11%) than in men (0.05%) ( χ 2 = 10.09, P = 0.001), and the highest prevalence was detected in patients at ages of over 50 years (38 cases, 53.52%). In addition, the highest echinococcosis prevalence was detected in herdsmen (0.14%), or in primary school children (0.13%)., Conclusions: Human echinococcosis is widely, but lowly prevalent in Inner Mongolia Region, with a diverse density of infections. Echinococcosis has remarkable characteristics of regional and population clusters in Inner Mongolia Region, and the management of echinococcosis requires to be reinforced in key regions and populations.

Background: To document characteristics and treatments of ocular blast injury from a fire and explosion., Method: Authors retrospectively evaluated 116 patients with 166 eye injuries from six hospitals. Terminology of ocular injury referred to Birmingham Eye Trauma Terminology, and best-corrected visual acuity (BCVA) was categorized with the ocular trauma score (OTS) grading system. Incidence, preoperational and follow-up BCVA, treatment of severe ocular blast injuries were surveyed., Results: Oculoplastic injuries accounted for the majority of eye injuries, while globe injuries were presented in 52 eyes with median baseline OTS 70 ranging from 26 to 100. No endophthalmitis occurred. The mean timing of the first-stage operations was 9.4 ± 6.4 h after blast, while second-stage operations were performed on average 14.7 ± 0.9 days post blast. Final BCVA of 68.8% of eyes achieved 20/200 or better as followed, 7 open globe injuries had a BCVA of no light perception. Additionally, eyes presenting rupture, retinal detachment, vitreous hemorrhage, choroidal injury and initial BCVA less than 20/200 had worse final visual outcomes, while globe penetration was not associated with poor visual acuity., Conclusion: Various ocular injuries were commonly in the casualties of blast, in which open-globe injuries have worst visual prognosis. OTS is a valid approach for evaluation of prognosis and optimizing the therapeutic strategies subsequently in the massive casualty. Intense rescue and careful examination, proper surgery should be performed correctly to rescue patients.

Interregional trade can potentially extend the management of scarce resources beyond a region's territory along supply chains. Here we combined the multiregional input-output model with structural decomposition analysis to reveal the distant connections of agricultural land and water use as well as the drivers behind their variations in China. Our results show that trade-embodied agricultural land use increase by 2.3-fold and 2.5-fold for virtual agricultural water use flows from 2002 to 2012. The water-starved northern China with abundant agricultural land is the main exporter of virtual (also called trade-embodied) agricultural land and water. Moreover, the role of the virtual water use importers and exporters were determined by the availability of land, rather than water resources. Based on scenario analysis, we found that if agricultural water use efficiency of north China reached the world's top-level but agricultural land use efficiency remained unchanged, the virtual water flows would be reduced by 32% and only water resources, not agricultural land, would be able to sustain future economic development. Our findings may provide significant information for potential solutions to China's regional water shortage from a land-water nexus perspective.

Decarbonization of the power sector is one of the most important efforts to meet the climate mitigation targets under the Paris Agreement. China's power sector is of global importance, accounting for ∼25% of global electricity production in 2015. The carbon intensity of China's electricity is still much higher than the global average, but the country has made important strides toward a low-carbon transition based on two main pillars: improvement of energy efficiency and decreasing the share of fossil fuels. By applying a decoupling indicator, our study shows that 21 provinces achieved a "relative decoupling" of carbon emissions and electricity production and the remaining nine provinces achieved "absolute decoupling" between 2005 and 2015. We updated China's emission factors based on the most recent data by also considering the quality of imported coal and compared our results with the widely used Intergovernmental Panel on Climate Change coefficients to show the sensitivity of results and the potential error. Our decomposition analysis shows that improvement of energy efficiency was the dominant driver for decarbonization of 16 provincial power sectors, while the access to low-carbon electricity and substitution of natural gas for coal and oil further accelerated their decarbonization.