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The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands
The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Christmas, Sakura. 2016. The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33840708 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA The Cartographic Steppe: Mapping Environment and Ethnicity in Japan’s Imperial Borderlands A dissertation presented by Sakura Marcelle Christmas to The Department of History in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of History Harvard University Cambridge, Massachusetts August 2016 © 2016 Sakura Marcelle Christmas All rights reserved. Dissertation Advisor: Ian Jared Miller Sakura Marcelle Christmas The Cartographic Steppe: Mapping Environment and Ethnicity in Japan’s Imperial Borderlands ABSTRACT This dissertation traces one of the origins of the autonomous region system in the People’s Republic of China to the Japanese imperial project by focusing on Inner Mongolia in the 1930s. Here, Japanese technocrats demarcated the borderlands through categories of ethnicity and livelihood. At the center of this endeavor was the perceived problem of nomadic decline: the loss of the region’s deep history of transhumance to Chinese agricultural expansion and capitalist extraction. -
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 -
Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset
remote sensing Article Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset Lili Xu 1,2, Baolin Li 1,3,*, Yecheng Yuan 1, Xizhang Gao 1, Tao Zhang 1,2 and Qingling Sun 1,2 1 State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (L.X.); [email protected] (Y.Y.); [email protected] (X.G.); [email protected] (T.Z.); [email protected] (Q.S.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China * Correspondence: [email protected]; Tel.: +86-010-6488-9072 Academic Editors: James Campbell and Prasad S. Thenkabail Received: 26 January 2016; Accepted: 23 May 2016; Published: 14 June 2016 Abstract: This study proposed a multi-target hierarchical detection (MTHD) method to simultaneously and automatically detect multiple directional land cover changes. MTHD used a hierarchical strategy to detect both abrupt and trend land cover changes successively. First, Grubbs’ test eliminated short-lived changes by considering them outliers. Then, the Brown-Forsythe test and the combination of Tomé’s method and the Chow test were applied to determine abrupt changes. Finally, Sen’s slope estimation coordinated with the Mann-Kendall test detection method was used to detect trend changes. Results demonstrated that both abrupt and trend land cover changes could be detected accurately and automatically. The overall accuracy of abrupt land cover changes was 87.0% and the kappa index was 0.74. -
Ecological and Economic Protection Forest Project of Comprehensive Management of Horqin Sandy Land in Tong Liao City
Ecological and economic protection forest project of comprehensive management of Horqin Sandy Land in Tong Liao City Stakeholder Engagement Plan Tongliao Forestry and Grassland Bureau Shanghai Yiji Construction Consultants Co., Ltd. August, 2019 1 Content 1 INTRODUCTION .............................................................................................................. 1 1.1 objective and scope ..................................................................................................... 1 1.2 Objectives of the Stakeholder Engagement Plan (SEP) .............................................. 2 2REGULATORY AND GOVERNANCE FRAMEWORK ................................................... 4 2.1 Introduction ................................................................................................................. 4 3 AN OVERVIEW OF STAKEHOLDER ENGAGEMENT ................................................ 5 3.1 Stakeholder Engagement ....................................................................................... 5 3.2 Principles for Effective Stakeholder Engagement ................................................. 5 3.3 Stakeholder Engagement Considerations .............................................................. 6 4 STAKEHOLDER ANALYSIS AND IDENTIFICATION .............................................. 8 4.1 Stakeholder analysis .............................................................................................. 8 4.2 Defining Stakeholders ........................................................................................ -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
China Wind Power Outlook 2010 ——
—— CHINA WIND POWER OUTLOOK 2010 —— Lead Authors Li Junfeng Shi Pengfei Gao Hu Other Authors Xie Hongwen Yang Zhenbin Tang Wenqian Ma Lingjuan Coordinators Li Ang Li Yan Yang Ailun Qiao Liming Tang Wenqian Photo © Greenpeace/ Simon Lim/ Pao Lihui/ John Novis/ Paul Langrock / Zenit Sinovel, Shanwei Honghaiwan Wind Farm Chinese Renewable Energy Industries Association Global Wind Energy Council Greenpeace October 2010 Foreword The Chinese Renewable Energy Industries Association (CREIA) published Wind Force 12 – China, China Wind Power Report 2007 and China Wind Power Report 2008 with the support of Greenpeace, the Global Wind Energy Council (GWEC) etc. in 2005, 2007 and 2008 respectively. These reports were well received by readers both at home and abroad, and we have similar expectations for the publication of China Wind Power Outlook 2010. As a new wind power report was expected by people in the industry, CREIA organised experts from both China and overseas to edit and publish China Wind Power Outlook 2010 with the support of Greenpeace and GWEC. Our aim is to satisfy readers’ desire to understand the latest situation on wind power development in China. China Wind Power Outlook 2010 includes the main features of previous reports and some elements from GWEC’s analysis of global wind energy, and tries to reflect the situation, characteristics and prospects for both global and Chinese wind power. The report covers strategic energy demand and resources, market capacity and equipment, market environment and policy, environmental issues and climate change, a historical perspective and prospects for the future. To provide a comprehensive overview for readers, we have tried to analyze and interpret all the main issues for wind power development in China in terms of both the global context and the country’s broader energy development strategy. -
The Influence of Land Use on the Grassland Fire Occurrence in The
sensors Article The Influence of Land Use on the Grassland Fire Occurrence in the Northeastern Inner Mongolia Autonomous Region, China Yiping Li 1, Jianjun Zhao 1, Xiaoyi Guo 1, Zhengxiang Zhang 1,*, Gang Tan 2 and Jihong Yang 2 1 Provincial Laboratory of Resources and Environmental Research for Northeast China, Northeast Normal University, Changchun 130024, China; [email protected] (Y.L.); [email protected] (J.Z.); [email protected] (X.G.) 2 Jilin Surveying and Planning Institute of Land Resources, Changchun 130061, China; [email protected] (G.T.); [email protected] (J.Y.) * Correspondence: [email protected]; Tel.: +86-186-0445-1898 Academic Editor: Jason Levy Received: 1 January 2017; Accepted: 18 February 2017; Published: 23 February 2017 Abstract: Grassland, as one of the most important ecosystems on Earth, experiences fires that affect the local ecology, economy and society. Notably, grassland fires occur frequently each year in northeastern China. Fire occurrence is a complex problem with multiple causes, such as natural factors, human activities and land use. This paper investigates the disruptive effects of grassland fire in the northeastern Inner Mongolia Autonomous Region of China. In this study, we relied on thermal anomaly detection from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor to identify fire occurrences, and land use data were acquired by Landsat Thematic Mapper/Enhanced Thematic Mapper (TM/ETM). We discussed the relationship between land use and the spatial distribution of grassland fires. The results showed that the impact of land use on grassland fires was significant. Spatially, approximately 80% of grassland fires were clustered within 10 km of cultivated land, and grassland fires generally occurred in areas of intense human activity. -
Population Changes Behind Grassland Degradation in Horqin Region of Inner Mongolia, China
Population changes behind grassland degradation in Horqin region of Inner Mongolia, China Yintai Na1,2), Buho Hoshino1)*, Shin'ya Kawamura1), Tsedevdorj Serod 3) 1) Rakuno Gakuen University, 582, Bunkyodai-Midorimachi, Ebetsu, Hokkaido 069-8501, Japan 2) College of Resources and Environment Economy, Inner Mongolia University of Finance and Economics, No.185, North two ring road, Hohhot 010070, Inner Mongolia, China 3) Department of Geography, Mongolian National University of Education,14, Baga toiruu, Ulaanbaatar, 210648, Mongolia *Corresponding Author: Buho Hoshino (Tel/Fax: +81-011-388-4913, E-mail: [email protected].) Abstract High immigration and fertility rates in Inner Mongolia, China, have led to a large-scale transformation of grassland into farmland. Also, overgrazing resulted in the reduction in grazing land, and hence grassland degradation. Such disappearance of grasslands has been most apparently seen in Horqin region of Inner Mongolia. This paper used technologies of remote sensing and geographic information systems to reveal the impacts of population changes on grassland degradation in Horqin, and underlying history and policy-related explanation, to make a quantitative study on the relationship between both. Results showed that the fast growth rate was observed prior to 1981, primarily due to the policies encouraging immigration and population growth. When these policies were terminated in 1981, the growth rate began to slow down. The linear trend coefficients of the population density indicated uneven population growth over time in each banner/county regarding the time series, with R2 from 96.8% of the linear trend equations significantly different (p<0.05). Spatial features of population density varied across banners, as the immigrant population was affected by factors such as distance from farming areas, agricultural conditions and changes, urbanization, and mineral resource development. -
The Description of Pancreatic Cancer Death in Inner Mongolia 2008-2014
Open Journal of Epidemiology, 2017, 7, 131-138 http://www.scirp.org/journal/ojepi ISSN Online: 2165-7467 ISSN Print: 2165-7459 The Description of Pancreatic Cancer Death in Inner Mongolia 2008-2014 Xiaoyan Zhang1*, Ying Shi2*, Changqing Sun3*, Lei Guo4, Hairong Zhang5, Zhiyun Zhou1, Dan Wang5, Jing Yan1, Linlin Dong1, Qingxia Wang5, Yueling Hu5, Juan Sun5# 1Inner Mongolia Medical University Affiliated Hospital, Hohhot, China 2Chifeng Municipal Hospital, Chifeng, China 3Huhhot First Hospital, Hohhot, China 4Baotou Cancer Hospital, Baotou, China 5Inner Mongolia Medical University, Hohhot, China How to cite this paper: Zhang, X.Y., Shi, Abstract Y., Sun, C.Q., Guo, L., Zhang, H.R., Zhou, Z.Y., Wang, D., Yan, J., Dong, L.L., Wang, Objective: The study aimed to assess the characteristics of pancreatic cancer Q.X., Hu, Y.L. and Sun, J. (2017) The De- deaths and the relationship between socio-demographic status and mortality scription of Pancreatic Cancer Death in risk of pancreatic cancer in Inner Mongolia. Method: We obtained our data Inner Mongolia 2008-2014. Open Journal of Epidemiology, 7, 131-138. for 2008-2014 from the Death Registry System of Inner Mongolia. We calcu- https://doi.org/10.4236/ojepi.2017.72012 lated the mortality rate, potential years of life lost (PYLL) and average years of life lost (AYLL) for men and women. We collected socio-demographic cha- Received: March 24, 2017 racteristics including education level, ethnicity, region, and occupation. Logis- Accepted: April 23, 2017 Published: April 28, 2017 tic regression models were employed to analyze risk factors of pancreatic can- cer. Results: The average mortality rate of pancreatic cancer was 4.42/100,000 Copyright © 2017 by authors and in Inner Mongolia during 2008 to 2014. -
CWSI) for Monitoring Drought from 2001 to 2017 Over Inner Mongolia
sustainability Article Characterization and Evaluation of MODIS-Derived Crop Water Stress Index (CWSI) for Monitoring Drought from 2001 to 2017 over Inner Mongolia Zi-Ce Ma 1, Peng Sun 1,2,3,* , Qiang Zhang 2,3,*, Yu-Qian Hu 1 and Wei Jiang 1 1 School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China; [email protected] (Z.-C.M.); [email protected] (Y.-Q.H.); [email protected] (W.J.) 2 State Key Laboratory of Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China 3 Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China * Correspondence: [email protected] (P.S.); [email protected] (Q.Z.) Abstract: Inner Mongolia is one of the main green production bases of agricultural and animal husbandry products. Due to factors such as natural geographical location, drought occurs frequently in Inner Mongolia. Based on the MOD16 product and the method of crop water stress index (CWSI) combined with multi-year precipitation and temperature data, the spatial and temporal distribution characteristics and major influencing factors of drought in Inner Mongolia from 2001 to 2017 were analyzed. In order to provide effective scientific basis for drought control and drought resistance in Inner Mongolia for decision. The results showed that: (1) during 2001–2017, the average annual CWSI in Inner Mongolia had a strong spatial heterogeneity, which showed a trend of gradual increase from northeast to southwest. The annual average CWSI was 0.7787 and showed a fluctuating downward trend for Inner Mongolia. (2) The CWSI of every 8d during one year in Inner Mongolia showed the Citation: Ma, Z.-C.; Sun, P.; Zhang, double-peak trend, reaching its maximum of 0.9043 in the 121st day. -
Wind Energy Rejection in China Current Status, Reasons And
Renewable and Sustainable Energy Reviews 66 (2016) 322–344 Contents lists available at ScienceDirect Renewable and Sustainable Energy Reviews journal homepage: www.elsevier.com/locate/rser Wind energy rejection in China: Current status, reasons and perspectives Yuning Zhang a,c,n, Ningning Tang a, Yuguang Niu b, Xiaoze Du a a Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, Beijing 102206, China b State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China c Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China article info abstract Article history: Currently, parts of the potential energy generated by the wind turbines could not be transmitted to the Received 22 February 2016 electric power grid in China, leading to a serious wind energy rejection problem. In some local areas (e.g. Received in revised form Gansu province), the wind energy rejection rate reaches 47% in the first half year of 2016. Wind energy 7 July 2016 rejection problem is currently the biggest barrier for the further development of the wind energy in Accepted 3 August 2016 China. In this review, the current status of the wind energy rejection (between 2010 and 2016) are reviewed with a detailed analysis of the reasons based on the statistical data released by the authorities. Keywords: Two cases studies (Inner Mongolia Autonomous Region and Gansu province respectively) are also per- Wind energy formed to specify the reasons for the rejection and provide an in-depth discussion on the influences of Rejection related policies. -
Spatial and Temporal Distribution Characteristics of Water Requirements for Maize in Inner Mongolia from 1959 to 2018
water Article Spatial and Temporal Distribution Characteristics of Water Requirements for Maize in Inner Mongolia from 1959 to 2018 Shuaishuai Qiao 1, Zhongyi Qu 1,*, Xiaoyu Gao 1, Xiujuan Yang 2 and Xinwei Feng 3 1 College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, No. 306 Zhaowuda Road, Saihan District, Hohhot 010018, China; [email protected] (S.Q.); [email protected] (X.G.) 2 College of Agronomy, Inner Mongolia Agricultural University, No.275, XinJian East Street, Hohhot 010019, China; [email protected] 3 Taiyuan Institute of Soil and Water Conservation, Taiyuan 030021, China; [email protected] * Correspondence: [email protected]; Tel.: +86-471-4316865 Received: 22 August 2020; Accepted: 23 October 2020; Published: 3 November 2020 Abstract: Crop water requirements are crucial for agricultural water management and redistribution. Based on meteorological and agricultural observation data, the effective precipitation (Pe), water requirements (ETc), and irrigation water requirements (Ir) in the maize growing areas of Inner Mongolia were calculated. Furthermore, climatic trends of these variables were analysed to reveal their temporal and spatial distributions. The research results are as follows: the average Pe of maize in Inner Mongolia during the entire growth period was 125.9 mm, with an increasing trend from west to east. The Pe in the middle growth period of maize was the highest and was small in the early and late growth stages. The Pe climate exhibited a negative slope with a decreasing trend. The average ETc of maize during the entire growth period was 480.6 mm. The high-value areas are mainly distributed in the Wulatzhongqi and Linhe areas.