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Urban social civilization and the quality of life of residents are gradually improved, and the development scale and trend of the leisure tourism industry have been growing. This paper constructs a multi-source data fusion model based on an ensemble learning algorithm, uses Ctrip 2020 open data set to train the model, and then obtains the tourism information data processing and prediction results. This paper takes the data of Ctrip as the training set and compares the trained model with the data of tunic and Feizhu. In this paper, sensor detection technology is used to analyze many famous scenic spots in China, including tourist type, gender, and location. The results show that tourism feature extraction results are consistent with data from trending flying bamboo, tunics, and other websites, according to the results of a multi-source fusion of tourism information. Among them, in the data of the first half of 2020, the prediction accuracy of the model after data processing is about 62%. Affected by the epidemic situation, the accuracy of the model is low. In the second half of the year, the prediction accuracy is 78%, which can be used to fuse tourism information in a short time. Therefore, the data show that the model has high learning ability and high trend prediction ability in tourism data processing, which can provide necessary information support for tourists. [ABSTRACT FROM AUTHOR]

Carbon transfer in international trade has triggered disputes on environmental equity between developed and developing countries. Hence, it is urgent to make it clear the carbon transfer process of international trade between China and the United States, explore the adjustment plan of emission reduction responsibility and formulate targeted emission reduction measures. These will play an important leading and demonstration effect in addressing global warming and coordinating international carbon reduction. This study built a CO 2 international trade transfer network model of China and the United States. Based on identifying the carbon transfer path flowing from primary product sector to final production sector, and then to final consumption, we analyzed the industrial association relationship and distribution differences between China and the United States with external countries and regions. Lastly, we put forward emission reduction policy implication in industrial scale. The key paths of China and the United States are concentrated in the two export and import transfer types respectively. Among the key paths of China's bilateral primary production export type, paths from domestic Electricity, Gas and Water to foreign Construction accounted for the largest 40% share. As for the United States, transfer type of bilateral final production import is the most prominent, and path number and flow from foreign Transport to domestic Public Administration both accounted for more than 30%. Based on shared responsibility to adjust the emission reduction tasks under the Paris Agreement, China and the US will allow to emit 10% more and reduce 6% more, reaching 54% and 25% respectively. Taking into full consideration the national economic development level and the differences in the production technology level of industrial sectors, as well as the upstream and downstream related sectors' relationship, the refined emission reduction strategy is proposed from different aspects, such as technical assistance, financial support, import control, technology sharing and consumption transformation. • CO 2 transfer patterns are divided. • Industrial flows are analyzed. • Mitigation pathways are raised. [ABSTRACT FROM AUTHOR]

• Nine cross border CO 2 transfer types are been divided based on geographical features. • Each path consists of primary & final production sectors and final consumption. • Path analysis results can serve for further precise mitigation plans. CO 2 transfers induced by international trade account for nearly a quarter of total CO 2 emissions, becoming the hotspots of global carbon mitigation. However, current analysis paid little attention to the spatial characteristics and multiple roles of the international sector, making it difficult to serve mitigation policies quantitatively. In this study, we built a CO 2 transfer framework, in which the path flowed through the primary production sector, final production sector, and final consumption. We considered the domestic and foreign location differentiation to divide import and export transfers into nine spatial patterns. We figured out critical paths that influenced the total exports and imports, respectively, traced their temporal variation as well. Primary production export and import transfers with single foreign countries were the most significant transfer types in China and the United States, respectively, both with an average share of about 35%. In the key export and import paths, Transportation in the United States, and Electricity, Gas, and Water in China (both accounting for about half of the total export transfers) acting as primary production sectors had close export connections with foreign Electrical and Machinery sectors and Construction; the US's Public Administration and the China's Construction (about 1/4 and 1/3 of the total import transfers) acting as final production sector had close import associations with foreign Transportation sectors and Electricity, Gas and Water sectors, respectively. The results can lay a foundation for further macro mitigation regulation and precise sectoral reduction plans. [ABSTRACT FROM AUTHOR]

International trade has shifted part of the responsibility for carbon mitigation from consumers to producers, therefore quantifying mitigation targets and allocating responsibilities have become the focus of research. This study quantified carbon transfers between mainland China and its trade partners from a consumption perspective, and identified the transfer paths from initial production to final production and then consumption. We projected China's allowed carbon increment before peak carbon, and recommend policy measures based on different national technological levels. Given China's 1.25 Gt net exports of carbon, the country's share of the allowed carbon increment before peak carbon would increase from 30% to 51% in 2015 before 2030. The net carbon transfer paths from China driven by consumption by its trading partners accounted for 87% of the total number of paths, with paths to the United States and Hong Kong for exports of both primary and final products being the most prominent. On the other hand, the net carbon import transfer paths driven by China's consumption were dominated by imports of primary products from South Korea and Russia. In comparison with the production country, a country that drives net carbon transfers and has a higher technological level should strengthen its industrial and consumption structures and reduce emission through technical assistance to countries with a lower technological level; the latter should improve production efficiency to reduce imported demand and mitigate the emission. Our study provides a methodological framework and theoretical guidance for a more scientific and equitable allocation of carbon mitigation responsibilities. [Display omitted] • Global consumption drove 1.25 Gt of net carbon transfer from China in 2015. • China's allowed carbon increment share before peak would increase from 30 to 51%. • China's net export carbon transfer paths were exporting primary and final products. • China's net import carbon transfer paths were importing primary products. [ABSTRACT FROM AUTHOR]

Objectives: The health-related quality of life (HRQoL) and utilities of patients with chronic hepatitis B (CHB) virus infection, including compensated cirrhosis (CC), decompensated cirrhosis (DC) and different stages of hepatocellular carcinoma (HCC), have not been well described in China. This study aimed to evaluate HRQoL and utilities and provide parameters for the economic evaluation of CHB-related diseases., Methods: We conducted a multicentre cross-sectional and study to measure the HRQoL of patients with CHB, CC, DC and HCC using the Chinese short form (SF) 36 health survey V.2. The utilities were extracted based on the SF-six dimension scoring model. Multivariable regression analyses identified the effects on HRQoL., Results: A total of 1071 patients (639 with CHB, 125 with CC, 85 with DC and 222 with HCC) were invited to complete the questionnaire. Physical HRQoL was not impaired in the CHB stage, while mental HRQoL was significantly impaired. Physical composite summary scores have a more significant decrease than mental composite summary scores at the advanced stages (CC, DC and HCC). The utility scores of CHB only, CC, DC and HCC were 0.773, 0.750, 0.683 and 0.640, respectively. The utility scores in the early, middle and terminal stages of HCC were 0.656, 0.635 and 0.615, respectively., Conclusion: Slowing the progress of CHB-related diseases and providing psychological support early are the key points to improving the quality of life with the diseases. The utility values estimated in this study can provide a vital instrument for cost-effectiveness studies on CHB-related diseases., 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: Understanding the variance of antioxidant in wheat grain responses to irrigation and nitrogen (N) fertiliser management will improve the nutrient quality of wheat grain. Four N rates (0, 180, 240, and 300 kg ha(-1)) combined with irrigation times (I0, no irrigation; I1, jointing time irrigation; I2, jointing + flowering time irrigation), were used to determine the effect of N fertilisation and irrigation on total phenolic content (TPC), phenolic acid composition, and antioxidant activity (AOA) of wheat grain., Results: Irrigation, N fertilisation and their interactions had significant effect on TPC, total flavonoid content (TFC), AOA, p-coumaric acid (PCA), as well as vanillic acid (VA) and chlorogenic acid (CA). I1 N300 treatment had the highest TPC at Zhengzhou and Wenxian (1451.5 µg g(-1) and 1397.9 µg g(-1), respectively) location, while I1 N240 resulted in the highest TFC (0.75 mg g(-1)) and VA (19.77 µg g(-1)) at Wenxian. TPC, TFC, AOA, ferulic acid (FA), PCA and VA increased with N application rate (from 180 to 300 kg N ha(-1))., Conclusion: An appropriate irrigation and N management improved antioxidant content and AOA in wheat grain. Generally, I1 N240 and I1 N300 treatment resulted in the higher TPC, TFC, AOA, as well as phenolic acid, i.e. FA and VA., (© 2014 Society of Chemical Industry.)