Online Supplementary Document
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Report on Domestic Animal Genetic Resources in China
Country Report for the Preparation of the First Report on the State of the World’s Animal Genetic Resources Report on Domestic Animal Genetic Resources in China June 2003 Beijing CONTENTS Executive Summary Biological diversity is the basis for the existence and development of human society and has aroused the increasing great attention of international society. In June 1992, more than 150 countries including China had jointly signed the "Pact of Biological Diversity". Domestic animal genetic resources are an important component of biological diversity, precious resources formed through long-term evolution, and also the closest and most direct part of relation with human beings. Therefore, in order to realize a sustainable, stable and high-efficient animal production, it is of great significance to meet even higher demand for animal and poultry product varieties and quality by human society, strengthen conservation, and effective, rational and sustainable utilization of animal and poultry genetic resources. The "Report on Domestic Animal Genetic Resources in China" (hereinafter referred to as the "Report") was compiled in accordance with the requirements of the "World Status of Animal Genetic Resource " compiled by the FAO. The Ministry of Agriculture" (MOA) has attached great importance to the compilation of the Report, organized nearly 20 experts from administrative, technical extension, research institutes and universities to participate in the compilation team. In 1999, the first meeting of the compilation staff members had been held in the National Animal Husbandry and Veterinary Service, discussed on the compilation outline and division of labor in the Report compilation, and smoothly fulfilled the tasks to each of the compilers. -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Hydro-Geochemical Characteristics and Health Risk Evaluation of Nitrate in Groundwater
Pol. J. Environ. Stud. Vol. 25, No. 2 (2016), 521-527 DOI: 10.15244/pjoes/61113 Original Research Hydro-Geochemical Characteristics and Health Risk Evaluation of Nitrate in Groundwater Jianmin Bian1*, Caihong Liu1, Zhenzhen Zhang1, Rui Wang2, Yue Gao1 1Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China 2Shijiazhuang University of Economics, Shijiazhuang 050031, China Received: 17 April 2015 Accepted: 21 December 2015 Abstract Groundwater is considered a major source of drinking water and its quality a basis for good population health. In order to identify groundwater hydro-chemical characteristics and pollution conditions in Songnen Plain, groundwater hydro-chemical characteristics and nitrate-nitrogen (NO3-N) spatial distribution characteristics and the health risks were analyzed. Results showed that groundwater hydro-chemical type was mainly HCO3-Ca, which was associated with the action of calcite and silicate mineral weathering dissolution. The over standards rate of NO3-N accounted for 50.8%, the coeffi cient of variation was 183.57% which was high spatial variability, the high-risk area accounted for 88.78% of the total study area, and the high-risk area covered the area with water quality of classes IV, V, and part of class III. The high-risk area is mainly distributed in the eastern high plains and in the central low plains, while the low-risk zone accounts for only 11.22% of the total area and is mainly distributed in the western alluvial plain with scattered distribution in other areas. Keywords: health risk evaluation, hydrochemical type, Piper trilinear charts, spatial variability, nitrate nitrogen Introduction nitrogen, and urban living sewage [2-4]. -
Atrocities in China
ATROCITIES IN CHINA: LIST OF VICTIMS IN THE PERSECUTION OF FALUN GONG IN CHINA Jointly Compiled By World Organization to Investigate the Persecution of Falun Gong PO Box 365506 Hyde Park, MA 02136 Contact: John Jaw - President Tel: 781-710-4515 Fax: 781-862-0833 Web Site: http://www.upholdjustice.org Email: [email protected] Fa Wang Hui Hui – Database system dedicated to collecting information on the persecution of Falun Gong Web Site: http://www.fawanghuihui.org Email: [email protected] April 2004 Preface We have compiled this list of victims who were persecuted for their belief to appeal to the people of the world. We particularly appeal to the international communities and request investigation of this systematic, ongoing, egregious violation of human rights committed by the Government of the People’s Republic of China against Falun Gong. Falun Gong, also called Falun Dafa, is a traditional Chinese spiritual practice that includes exercise and meditation. Its principles are based on the values of truthfulness, compassion, and tolerance. The practice began in China in 1992 and quickly spread throughout China and then beyond. By the end of 1998, by the Chinese government's own estimate, there were 70 - 100 million people in China who had taken up the practice, outnumbering Communist Party member. Despite the fact that it was good for the people and for the stability of the country, former President JIANG Zemin launched in July 1999 an unprecedented persecution of Faun Gong out of fears of losing control. Today the persecution of Falun Gong still continues in China. As of the end of March 2004, 918 Falun Gong practitioners have been confirmed to die from persecution. -
Policy Reform and Agrarian Dynamics in China's New Hybrid Economy
Environmental Degradation in Heilongjiang: Policy Reform and Agrarian Dynamics in China’s New Hybrid Economy Joshua S. S. Muldavin Department of Geography, University of California, Los Angeles This paper analyzes environmental degradation in rural China as structurally embedded in China’s rapid economic growth in the post-Mao era. The theoretical discussion focuses on changes in the organization of production, resource use, and regional development. A critical assessment of the Chinese hybrid economy challenges standard views of the reforms. The overall environmental problems of state socialist agriculture in China have been aggravated following the agrarian reforms of the current regime. Rather than mitigating negative trends, marketization and privatization have brought new, qualitatively different, environmental problems. Resource decline and its attendant social problems are not limited to aspects of transitional economy but are a fundamental part of the new hybrid system. I offer an alternative explanation for interpreting increases in rural productivity as an appropriation and use of collective assets, suggesting that the mining of communal capital is hidden behind the economic growth of the rural economy. Case studies in Heilongjiang Province based on long-term field data provide a profile of three aspects: intensification of land use, agroindustrial pollution, and declining social/communal capital. Further, the political legitimacy of the state is gradually eroded by mutually exclusive fiscal constraints on expenditure and political commitments to peasant producers. Recent repression of political dissent by peasants in hinterland regions forces indirect forms of resistance to state policy. Opportunities for sustainable development are nonetheless present within China, providing that policy makers attempt to address the structural conditions of the rural sector. -
Varieties from the Same Origin Using GC–MS Liyuan Zhang1*, Yingbo Yu1 & Runzhong Yu2,3*
www.nature.com/scientificreports OPEN Analysis of metabolites and metabolic pathways in three maize (Zea mays L.) varieties from the same origin using GC–MS Liyuan Zhang1*, Yingbo Yu1 & Runzhong Yu2,3* Metabolites of the Jinyu 88, Huanong 18, and Demeiya 9 maize varieties from the same origin were isolated and identifed by GC–MS, and the specifc metabolites and metabolic mechanisms of these three varieties of maize were preliminarily analysed and discussed. The metabolites were extracted with 80% methanol and derived with N,O-bis(trimethylsilyl)trifuoroacetamide. A total of 59 metabolites were identifed. The specifc metabolites of these three varieties of maize were identifed. Four possible unknown-structure metabolites were hypothesized. The results showed that the specifc metabolites of JY88 were only involved in fatty acid metabolism. The specifc metabolites of HN18 were determined to be involved in fatty acid metabolism, glucose metabolism, and phytosterol metabolism. The specifc metabolites of DM9 were observed to participate in glucose metabolism and fatty acid metabolism. The disease resistance of HN18 was higher than that of DM9, and its grain bulk density was higher than that of DM9. JY88 was determined to be signifcantly diferent from the other two varieties, and its appearance and disease resistance were worse than those of the other two varieties. The variety with the highest nutritional value was determined to be HN18, and the variety with the lowest nutritional value was JY88. This fnding indicated that diferent maize varieties from the same origin had diferent metabolites and diferent metabolic mechanisms, which caused the three maize varieties to exhibit diferent characteristics and qualities. -
Download 292.33 KB
Environmental Impact Assessment Report Summary Initial Environmental Examination Project Number: 40682 March 2009 People’s Republic of China: Integrated Renewable Biomass Energy Development Project – Heilongjiang Province Prepared by: Heilongjiang Provincial Environmental Protection Research Institute For: Heilongjiang Provincial Rural Energy Office This report has been submitted to ADB by Heilongjiang Provincial Rural Energy Office and is made publicly available in accordance with ADB’s public communications policy (2011). It does not necessarily reflect the views of ADB. Summary of Non-core subproject IEE 1. Name of project : Large Biogas Engineering ADB-Loaned Project of Zhaozhou County Jin Li Shen Sheng Live Pig Breeding Co., Ltd. 2. Location of project ): Shuanghe Village, Shuangfa Township, Zhaozhou County, Daqing, Heilongjiang. 3. Evaluation unit : Heilongjiang Provincial Environmental Protection Research Institute 4. Project investment, US$ Exchange rate(1:6.9) Total investment cost, US$ : 726,300 ADB loan amount, US$ :362,318 配 Counterpart fund, US$ :363,982 5. Construction content : (1) location, type and scale of farm, and the amount of waste The pig farm has 10,000 pigs, the annual discharging volume of excrement is 7,300t, the land occupation area is 52,000 square meters,Raw materials for biogas project, therefore, there is a reliable supply. (2) type of biogas plant, equipment used Biogas production unit: 1 CSTR reactor, 1000 m3; 1 ABR reactor, 400 m3; Biogas storage unit: 1 dry biogas cabinet, 450 m3; Combined production unit of heat and power: one 75kW biogas generator and one set of surplus-heat recovery unit; Biogas conveying and distribution unit: one set of biogas conveying and distribution material. -
Clinical Characteristics and Outcomes of Hospitalised Patients with COVID-19 Treated in Hubei
Early View Original article Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non- epicenter): A Nationwide Analysis of China Wen-hua Liang, Wei-jie Guan, Cai-chen Li, Yi-min Li, Heng-rui Liang, Yi Zhao, Xiao-qing Liu, Ling Sang, Ru-chong Chen, Chun-li Tang, Tao Wang, Wei Wang, Qi-hua He, Zi-sheng Chen, Sook-San Wong, Mark Zanin, Jun Liu, Xin Xu, Jun Huang, Jian-fu Li, Li-min Ou, Bo Cheng, Shan Xiong, Zhan- hong Xie, Zheng-yi Ni, Yu Hu, Lei Liu, Hong Shan, Chun-liang Lei, Yi-xiang Peng, Li Wei, Yong Liu, Ya-hua Hu, Peng Peng, Jian-ming Wang, Ji-yang Liu, Zhong Chen, Gang Li, Zhi-jian Zheng, Shao-qin Qiu, Jie Luo, Chang-jiang Ye, Shao-yong Zhu, Lin-ling Cheng, Feng Ye, Shi-yue Li, Jin-ping Zheng, Nuo-fu Zhang, Nan-shan Zhong, Jian-xing He Please cite this article as: Liang W-hua, Guan W-jie, Li C-chen, et al. Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non-epicenter): A Nationwide Analysis of China. Eur Respir J 2020; in press (https://doi.org/10.1183/13993003.00562-2020). This manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. -
Rapid Extraction of Regional-Scale Agricultural Disasters by the Standardized Monitoring Model Based on Google Earth Engine
sustainability Article Rapid Extraction of Regional-scale Agricultural Disasters by the Standardized Monitoring Model Based on Google Earth Engine Zhengrong Liu 1, Huanjun Liu 1,2, Chong Luo 2, Haoxuan Yang 3 , Xiangtian Meng 1, Yongchol Ju 4 and Dong Guo 2,* 1 School of Pubilc Adminstration and Law, Northeast Agricultural University, Harbin 150030, China; [email protected] (Z.L.); [email protected] (H.L.); [email protected] (X.M.) 2 Northeast Institute of Geography and Agroecology Chinese Academy of Sciences, Changchun 130102, China; [email protected] 3 College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China; [email protected] 4 Wonsan University of Agriculture, Won San City, Kangwon Province, DPRK; [email protected] * Correspondence: [email protected]; Tel.: +86-1874-519-4393 Received: 15 July 2020; Accepted: 6 August 2020; Published: 12 August 2020 Abstract: Remote sensing has been used as an important tool for disaster monitoring and disaster scope extraction, especially for the analysis of spatial and temporal disaster patterns of large-scale and long-duration series. Google Earth Engine provides the possibility of quickly extracting the disaster range over a large area. Based on the Google Earth Engine cloud platform, this study used MODIS vegetation index products with 250-m spatial resolution synthesized over 16 days from the period 2005–2019 to develop a rapid and effective method for monitoring disasters across a wide spatiotemporal range. Three types of disaster monitoring and scope extraction models are proposed: the normalized difference vegetation index (NDVI) median time standardization model (RNDVI_TM(i)), the NDVI median phenology standardization model (RNDVI_AM(i)(j)), and the NDVI median spatiotemporal standardization model (RNDVI_ZM(i)(j)). -
Longi Green Energy Technology Co., Ltd. Annual Report 2018
Annual Report 2018 Ticker Symbol: 601012 Stock Name: LONGi LONGi Green Energy Technology Co., Ltd. Annual Report 2018 Kindly reminder: the Annual Report 2018 in English is for reference only. The Chinese report shall prevail in case of any discrepancy between the two versions. 1 / 331 Annual Report 2018 Important Notes I. The Board of Directors, the Board of Supervisors and the Directors, Supervisors and Senior Managers of the Company shall ensure that the contents of the Annual Report are true, accurate and complete, that there are no false records, misleading statements or major omissions, and shall bear individual and joint legal liabilities. II. All Directors of the Company attend Board Meetings. III. Ruihua Certified Public Accountants (Special General Partnership) has issued a standard audit report for the Company without reservations. IV. Li Zhenguo, the head of the Company, Liu Xuewen, the head of the accounting work, and Liu Xuewen, the head of the accounting institution (the accountant in charge) hereby declared that they should ensure the authenticity, accuracy and completeness of the financial report in the annual report. V. Profit Distribution Plan or Share Capital converted from Capital Reserve Plan for the Reporting Period Considered by the Board of Directors The profit distribution plan for 2018 is as follows: after deducting 576,254 restricted shares from the total share capital on the registration day of the implementation of the profit distribution, which is not involved in the profit distribution, and will be repurchased (based on the restricted stock repurchase shares approved by the shareholders’ meeting), the dividend of 1.00 yuan (including tax) will be paid out to all shareholders for every 10 shares. -
A Prediction Method of Regional Water Resources Carrying Capacity Based on Artificial Neural Network
EARTH SCIENCES RESEARCH JOURNAL Earth Sci. Res. J. Vol. 25, No. 2 (June, 2021): 169-177 HYDROLOGY A prediction method of regional water resources carrying capacity based on artificial neural network Chaoyang Shi1, Zhen Zhang2* 1Information Network Center, Zhengzhou Yellow River Nursing Vocational College, Zhengzhou, 450066, China 2School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China *Corresponding author: [email protected] ABSTRACT Keywords: Artificial neural network; BP neural To better predict the water resources carrying capacity and guide the social and economic activities, a prediction network; Regional water resources; Water resources method of regional water resources carrying capacity is proposed based on an artificial neural network. Zhaozhou carrying capacity; Carrying capacity prediction; County is selected as the research area of water resources carrying capacity prediction, and its natural geographical characteristics, social economy, and water resources situation are explored. According to the regional water resources quantity and utilization characteristics and evaluation emphasis, the evaluation index system of water resources carrying capacity is constructed to evaluate the importance and correlation of water resource carrying capacity. The pressure degree of water resources carrying capacity is divided into five grades. According to the evaluation standard of bearing capacity, the artificial intelligence BP neural network model is constructed. Based on the main impact factors of water resources carrying capacity in this area, the water resources carrying capacity grade is obtained by weight calculation and convergence iteration by using neural network model and influence factor data to realize the prediction of water resources carrying capacity. The research results show that the network model can meet the demand for precision. -
Recent Progress on Sunflower Broomrape Research in China
OCL 2020, 27, 30 © B. Shi and J. Zhao, Hosted by EDP Sciences, 2020 https://doi.org/10.1051/ocl/2020023 OCL Oilseeds & fats Crops and Lipids Available online at: www.ocl-journal.org REVIEW Recent progress on sunflower broomrape research in China☆ Bixian Shi1,2 and Jun Zhao2,* 1 Industrial Crops Institute of Xinjiang Academy of Agricultural Sciences, Urumqi, Xinjiang, PR China 2 College of Horticulture and Plant Protection, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, PR China Received 19 December 2019 – Accepted 20 April 2020 Abstract – Broomrape (Orobanche cumana Wallr.) is a holoparasitic plant which parasites sunflower roots. The infected sunflower plants are smaller, have a reduced kernel/husk ratio and yield decreases dramatically. It has become a severe problem for sunflower production all over the world. In recent years, due to importation of sunflower hybrid seeds, frequent local seed transportation and insufficient plant quarantine, broomrape widely occurs in sunflower production areas of China. This review addresses recent research progress on sunflower broomrape in China, focusing on occurrence, potential damage, seed germination mechanisms, physiological race identification, integrated control and breeding of resistant sunflowers. This review should provide useful reference information for future research and also integrated control of sunflower broomrape. Keywords: sunflower broomrape / occurrence / seed germination / race identification / integrated control Résumé – Récents progrès dans la recherche sur l’orobanche de tournesol en Chine. L’orobanche (Orobanche cumana Wallr.) est une plante holoparasite qui parasite les racines du tournesol. Les plants de tournesol infectés sont plus petits, présentent un faible rapport entre le grain et la coque, et le rendement diminue de façon spectaculaire.