Online Resource 1. Decubicus Study Team and ESICM Trials Group Collaborators
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Indigenous Knowledge of Natural Indigo Identi Cation in Southern China
Quality Blues: Indigenous Knowledge of Natural Indigo Identication in Southern China Yuru Shi Kunming Institute of Botany Chinese Academy of Sciences Libin Zhang Kunming Institute of Botany Chinese Academy of Sciences Lu Wang Kunming Institute of Botany Chinese Academy of Sciences Shan Li Kunming Institute of Botany Chinese Academy of Sciences Zuchuan Qiu Kunming Institute of Botany Chinese Academy of Sciences Xiaoyong Ding Kunming Institute of Botany Chinese Academy of Sciences Yuhua Wang ( [email protected] ) Kunming Institute of Botany Chinese Academy of Sciences https://orcid.org/0000-0003-3138-1312 Research Keywords: Ethnobotanical survey, indigo paste, folk quality criteria, quantitative study, indirubin, traditional knowledge, world heritage Posted Date: December 15th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-125963/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Journal of Ethnobiology and Ethnomedicine on April 7th, 2021. See the published version at https://doi.org/10.1186/s13002-021-00454-z. Page 1/21 Abstract Background: As one of the oldest traditional dyes, natural indigo is commonly used for centuries by the people worldwide. In the process of indigo production, indigenous people have formed unique knowledge of indigo identication because the indigo identication is crucial for indigo quality control and the dyeing effects. However, such indigenous knowledge is rarely documented and explained. Therefore, the aims of this study were to i) document and assess the indigenous knowledge of local people identifying the natural indigo paste and ii) to explore the characteristics and material basis of such indigenous knowledge. -
7 Resettlement Implementation Plan
RP979 Bayannaoer City Comprehensive Water Environment Treatment Project Public Disclosure Authorized Resettlement Action Plan for appraisal Public Disclosure Authorized Public Disclosure Authorized Bayanor City Hetao Water Affair Co. Ltd. Public Disclosure Authorized June.2010 Contents OBJECTIVES OF THE RAP AND THE DEFINITION OF RESETTLEMENT TERMINOLOGY ......................................................................................................... 1 1 PROJECT OVERVIEW............................................................................................ 4 1.1 PROJECT BACKGROUND ....................................................................................... 4 1.2 PROJECT COMPONENTS AND PROJECT GENERAL SITUATION .................................. 5 1.2.1 Project Components .................................................................................... 5 1.2.2 Project General Situation .......................................................................... 5 1.3 PROJECT IMPACT AND SERVICE SCOPE .................................................................. 9 2 IMPACT ANALYSIS ON NATURE, SOCIETY AND ECONOMY OF PROJECT AFFECTED AREA .................................................................................................... 10 2.1 NATURAL CONDITIONS OF PROJECT-AFFECTED AREA ............................................ 10 2.2 SOCIAL AND ECONOMIC PROFILE ......................................................................... 12 2.3 PRESENT SITUATION OF SOCIAL ECONOMIC DEVELOPMENT IN PROJECT AFFECTED -
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 -
Technological Improvement Project of Yigancao Herbal Tea Hot-Filling
Technological Improvement Project of Yigancao Herbal Tea Hot-filling Production Line with an Annual Production of 100,000 tons Guizhou Provincial Investment Promotion Bureau 2012 Page 1 Hotline for Investment Service of Guizhou Province:：0851-6826305 11Pages in Total Tel of the Project’s Unit：0850-82222556 Technological Improvement Project of Yigancao Herbal Tea Hot-filling Production Line with an Annual Production of 100,000 tons Guizhou Provincial Investment Promotion Bureau 2012 Technological Improvement Project of Yigancao Herbal Tea Hot-filling Production Line with an Annual Production of 100,000 tons Recommendation for Attracting Investment Contents 1. Overview ............................................................................................... 4 2. Introduction of the Site Where the Project will be Operated ............... 4 3. Enterprise’s Profile ............................................................................... 5 4. Industrial Background ........................................................................... 5 4.1.Product and Its Features ................................................................ 5 4.1.1.Product ............................................................................... 5 4.1.2.The Features of the Product ............................................... 6 4.2.Industrial Characters and Orientation ........................................... 6 4.2.1.Industrial Characters .......................................................... 6 4.3.Analysis on Project’s Advantages ................................................ -
Seroprevalence of Toxoplasma Gondii Infection in Sheep in Inner Mongolia Province, China
Parasite 27, 11 (2020) Ó X. Yan et al., published by EDP Sciences, 2020 https://doi.org/10.1051/parasite/2020008 Available online at: www.parasite-journal.org RESEARCH ARTICLE OPEN ACCESS Seroprevalence of Toxoplasma gondii infection in sheep in Inner Mongolia Province, China Xinlei Yan1,a,*, Wenying Han1,a, Yang Wang1, Hongbo Zhang2, and Zhihui Gao3 1 Food Science and Engineering College of Inner Mongolia Agricultural University, Hohhot 010018, PR China 2 Inner Mongolia Food Safety and Inspection Testing Center, Hohhot 010090, PR China 3 Inner Mongolia KingGoal Technology Service Co., Ltd., Hohhot 010010, PR China Received 6 January 2020, Accepted 8 February 2020, Published online 19 February 2020 Abstract – Toxoplasma gondii is an important zoonotic parasite that can infect almost all warm-blooded animals, including humans, and infection may result in many adverse effects on animal husbandry production. Animal husbandry in Inner Mongolia is well developed, but data on T. gondii infection in sheep are lacking. In this study, we determined the seroprevalence and risk factors associated with the seroprevalence of T. gondii using an indirect enzyme-linked immunosorbent assay (ELISA) test. A total of 1853 serum samples were collected from 29 counties of Xilin Gol League (n = 624), Hohhot City (n = 225), Ordos City (n = 158), Wulanchabu City (n = 144), Bayan Nur City (n = 114) and Hulunbeir City (n = 588). The overall seroprevalence of T. gondii was 15.43%. Risk factor analysis showed that seroprevalence was higher in sheep 12 months of age (21.85%) than that in sheep <12 months of age (10.20%) (p < 0.01). -
Supply Chain Re-Engineering: a Case Study of the Tonghui Agricultural Cooperative in Inner Mongolia CASE STUDY
OPEN ACCESS International Food and Agribusiness Management Review Volume 21 Issue 1, 2018; DOI: 10.22434/IFAMR2016.0095 Received: 10 May 2016 / Accepted: 18 March 2017 Supply chain re-engineering: a case study of the Tonghui Agricultural Cooperative in Inner Mongolia CASE STUDY Qianyu Zhu a, Cheryl J. Wachenheim b, Zhiyao Mac, and Cong Zhuc aAssociate Professor and cGraduate Student, School of Agricultural Economics and Rural Development, Renmin University of China, 59 Zhongguancun St, Haidian Qu, Beijing, China P.R. bProfessor, Department of Agribusiness and Applied Economics, North Dakota State University, 811 2nd Ave North, Fargo 58102, ND, USA Abstract Benefits of cooperative organization in agriculture come from price advantages in procurement and marketing, cost reductions and efficiency gains from sharing of productive assets and processes, and improved access to and increased efficiency in using credit, logistics, and information. Efficacy of strategic activities designed to capture these advantages is investigated empirically in a case study of the Tonghui Agricultural Cooperative in Inner Mongolia, an autonomous region of China. Information from interviews, on-site visits, evaluation of cooperative, member and partner information, and participation in the advising process are used to evaluate the impact of efforts to re-engineer the supply chain for independent farmers through cooperative organization. Specific examples of marketing channel development and operation for Wallace melons and mutton represent implementation of strategic -
Human Brucellosis Occurrences in Inner Mongolia, China: a Spatio-Temporal Distribution and Ecological Niche Modeling Approach Peng Jia1* and Andrew Joyner2
Jia and Joyner BMC Infectious Diseases (2015) 15:36 DOI 10.1186/s12879-015-0763-9 RESEARCH ARTICLE Open Access Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach Peng Jia1* and Andrew Joyner2 Abstract Background: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks. Methods: The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951–2010. Results: Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments. Conclusions: This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health. Keywords: Brucellosis, Geographic information systems, Remote sensing technology, Ecological niche modeling, Spatial analysis, Inner Mongolia, China, Mongolia Background through the consumption of unpasteurized dairy products Brucellosis, a common zoonotic disease also referred to [4]. -
Operation China
Miao, Huishui (Northern) July 29 ➤ executed, and the rebellion Northern Huishui Miao are was crushed. completely unaware of Christ or the claims of the Customs: Music is always at gospel. the center of Miao celebrations and social gatherings, whether it SICHUAN involves singing, instrument GUIZHOU playing, or leaf-blowing. Guiyang •Lupanshui • Traditional love songs are •Anshun •Duyun YUNNAN Huishui• •Pingtang handed down from •Xingren •Wangmo generation to generation. Scale GUANGXI Two young lovers may sing 0 KM 160 to each other in question- Population in China: and-answer form to express 70,000 (1990) 4 90,300 (2000) their mutual feelings. Many 116,500 (2010) annual Miao festivals are Location: Guizhou held which offer a chance Religion: Animism for young people from Christians: 50 different villages to mix and for romance to blossom. Overview of the Northern Huishui Religion: Most Northern Miao Huishui Miao live in fear and Countries: China bondage to evil spirits which Pronunciation: “Hway-shway-Meow” Miao Messenger harass them continually. Other Names: Location: The Northern History: According to Some Miao stories tell of a Hmong: Northern Huishui Huishui Miao language is legend, in about 2550 BC a dark place inhabited by Population Source: 70,000 spoken by more than Miao chief, Jiyou, was demons and ruled by a (1995 Wang Fushi – 1990 figure); 50,000 (1985 Wang Fushi – 90,000 people south of defeated by the Han race. demon king. To the Miao, 1982 figure); Guiyang Municipality — the The Miao were forcibly demons are the souls of Out of a total Miao population of capital of Guizhou Province. -
Agricultural Water Management Model Based on Grey Water Footprints Under Uncertainty and Its Application
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Agricultural water management model based on grey water footprints under uncertainty and its application Song, Ge; Dai, Chao; Tan, Qian; Zhang, Shan 2019 Song, G., Dai, C., Tan, Q., & Zhang, S. (2019). Agricultural water management model based on grey water footprints under uncertainty and its application. Sustainability, 11(20), 5567‑. doi:10.3390/su11205567 https://hdl.handle.net/10356/142706 https://doi.org/10.3390/su11205567 © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license http://creativecommons.org/licenses/by/4.0/). Downloaded on 29 Sep 2021 09:32:05 SGT sustainability Article Agricultural Water Management Model Based on Grey Water Footprints under Uncertainty and its Application Ge Song 1,2, Chao Dai 3, Qian Tan 1,4,* and Shan Zhang 1 1 College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China; [email protected] (G.S.); [email protected] (S.Z.) 2 State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065 China 3 School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore; [email protected] 4 Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China * Correspondence: [email protected] Received: 1 August 2019; Accepted: 17 September 2019; Published: 10 October 2019 Abstract: The grey water footprint theory was introduced into a fractional programming model to alleviate non-point source pollution and increase water-use efficiency through the adjustment of crop planting structure. -
4.5 Ethnic Minority Groups
IPP319 v2 Public Disclosure Authorized The Guiyang-Guangzhou New Railway Construction (GGR) Social Assessment & Ethnic Minority Development Plan Public Disclosure Authorized SA &EMDP Public Disclosure Authorized Foreign I&T Introduction Center of MOR, China West China Development Research Center of The Central University of Nationalities Public Disclosure Authorized August 30, 2008 1 Project Title: Social Assessment & Ethnic Minority Development Plan for the Guiyang-Guangzhou New Railway Construction Project Undertakers: Professor/Dr. Zhang Haiyang (Han) Director of the West China Development Research Center Associate Professor/Dr. Jia Zhongyi (Miao/Mhong) Deputy Director of the WCDRC The Central University of Nationalities, Beijing, 100081 China [email protected]; [email protected] Taskforce Member: Chen weifan, female, Hui, graduate students of CUN Zhong wenhong, male, She, graduate student of CUN Shen Jie, femal, Han, graduate student of CUN Feng An, male, Buyi, graduate student of CUN Wu Huicheng, male, Zhuang, graduate student of CUN Drafters: Jia Zhongyi, Zhang Haiyang, Shen Jie, Chen weifan, Zhong wenhong, Feng An Translators: Zhang Haiyang, Saihan, Liu Liu, Chai Ling , Liang Hongling, Yan Ying, Liang Xining 2 Table of Contents Abstract...................................................................................................................................................................... 5 Chpt.1 GGR Content & Regional Development Survey .......................................................................................... -
An Assessment of Cultural and Chemical Factors Used to De Ne
Quality Blues: An Assessment of Cultural and Chemical Factors Used to Dene Indigo Quality in China Yuru Shi Kunming Institute of Botany Chinese Academy of Sciences Libin Zhang Kunming Institute of Botany Chinese Academy of Sciences Lu Wang Kunming Institute of Botany Chinese Academy of Sciences Shan Li Kunming Institute of Botany Chinese Academy of Sciences Zuchuan Qiu Kunming Institute of Botany Chinese Academy of Sciences Xiaoyong Ding Kunming Institute of Botany Chinese Academy of Sciences yuhua wang ( [email protected] ) Kunming Institute of Botany Chinese Academy of Sciences https://orcid.org/0000-0003-3138-1312 Research Keywords: Ethnobotanical survey, indigo paste, quality judgment index, HPLC, pH, particle size Posted Date: November 12th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-103982/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/35 Abstract Background: The appearance of synthetic indigo has caused most people to forget the past brilliance of natural indigo. However, in parts of southern China, the folk still use and trade in natural indigo paste. The aims of this study were to i) document the traditional knowledge and experience of how people identify the quality of indigo paste and ii) explore the rationality of the quality judgment index used by local people. Method: We interviewed 283 traditional indigo paste artisans in 3 markets and 15 villages in Guizhou, Yunnan, and Fujian Provinces. Frequency of citation (FC), Mention index (QI), and Fidelity level (FL) of each indigo paste quality judgment index were calculated to determine the most commonly used, most recognized, and most important quality judgment index. -
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 ......................................................................................................................................................