A New Species and Additional Records of Rugilus Leach from Qinling, China (Coleoptera, Staphylinidae, Paederinae)
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The Systematic Review and Meta-Analysis of X-Ray Detective
Wang et al. BMC Musculoskeletal Disorders (2019) 20:78 https://doi.org/10.1186/s12891-019-2461-z RESEARCHARTICLE Open Access The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016 Xi Wang1,2†, Yujie Ning1†, Amin Liu1, Xin Qi1, Meidan Liu1, Pan Zhang1 and Xiong Guo1* Abstract Background: Kashin-Beck disease (KBD) is a serious human endemic chronic osteochondral disease. However, quantitative syntheses of X-ray detective rate studies for KBD are rare. We performed an initial systematic review and meta-analysis to assess the X-ray detective rate of KBD in China. Methods: For this systematic review and meta-analysis, we searched five databases (PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), WanFang Data and the China Science and Technology Journal Database (VIP))using a comprehensive search strategy to identify studies of KBD X-ray detective rate in China that were published from database inception to January 13, 2018. The X-ray detective rate of KBD was determined via an analysis of published studies using a random effect meta-analysis with the proportions approach. Subgroup analysis and meta- regression were used to explore heterogeneity, and study quality was assessed using the risk of bias tool. Results: A total of 53 studies involving 14,039 samples with X-ray detective rate in 163,340 observations in total were included in this meta-analysis. These studies were geographically diverse (3 endemic areas). The pooled overall X-ray detective rate for KBD was 11% (95%CI,8–15%;Z = 13.14; p < 0.001). -
Pre-Primary Education
Detailed Sector Assessment: Pre-Primary Education Project Number: 53060-001 March 2021 People's Republic of China: Shaanxi Xi'an Preschool Education Development Program CONTENTS Page A. EARLY CHILDHOOD EDUCATION: CHALLENGES AND OPPORTUNITIES ............... 1 B. SECTOR PROFILE: EARLY CHILDHOOD EDUCATION IN XI'AN ............................... 5 1. Access to Early Childhood Education ....................................................................... 5 2. Quality of Early Childhood Education ..................................................................... 11 3. Early Childhood Education Management, Supervision, and Financing ..................... 19 4. Early Childhood Education Innovation .................................................................... 20 C. INTERNATIONAL AND NATIONAL LESSONS AND GOOD PRACTICE..................... 21 D. ADB COUNTRY AND SECTOR EXPERIENCE AND ASSISTANCE ........................... 27 E. RECOMMENDATIONS FOR ADB TO SUPPORT EARLY CHILDHOOD EDUCATION DEVELOPMENT IN XI'AN .................................................................................................... 28 APPENDIXES 1. Bilingual Glossary ............................................................................................................ 30 2. Problem Tree ................................................................................................................... 35 3. Xi'an Preschool Education Development Plan, 2019–2025 ................................................ 36 ABBREVIATIONS ADB – Asian Development Bank -
The Survey on the Distribution of MC Fei and Xiao Initial Groups in Chinese Dialects
IALP 2020, Kuala Lumpur, Dec 4-6, 2020 The Survey on the Distribution of MC Fei and Xiao Initial Groups in Chinese Dialects Yan Li Xiaochuan Song School of Foreign Languages, School of Foreign Languages, Shaanxi Normal University, Shaanxi Normal University Xi’an, China /Henan Agricultural University e-mail: [email protected] Xi’an/Zhengzhou, China e-mail:[email protected] Abstract — MC Fei 非 and Xiao 晓 initial group discussed in this paper includes Fei 非, Fu groups are always mixed together in the southern 敷 and Feng 奉 initials, but does not include Wei part of China. It can be divided into four sections 微, while MC Xiao 晓 initial group includes according to the distribution: the northern area, the Xiao 晓 and Xia 匣 initials. The third and fourth southwestern area, the southern area, the class of Xiao 晓 initial group have almost southeastern area. The mixing is very simple in the palatalized as [ɕ] which doesn’t mix with Fei northern area, while in Sichuan it is the most initial group. This paper mainly discusses the first extensive and complex. The southern area only and the second class of Xiao and Xia initials. The includes Hunan and Guangxi where ethnic mixing of Fei and Xiao initials is a relatively minorities gather, and the mixing is very recent phonetic change, which has no direct complicated. Ancient languages are preserved in the inheritance with the phonological system of southeastern area where there are still bilabial Qieyun. The mixing mainly occurs in the southern sounds and initial consonant [h], but the mixing is part of the mainland of China. -
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 -
Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility)
Technical Assistance Consultant’s Report Project Number: 39321 June 2008 PRC: Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility) Prepared by: ANZDEC Limited Australia For Shaanxi Province Development and Reform Commission This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, and ADB and the Government cannot be held liable for its contents. (For project preparatory technical assistance: All the views expressed herein may not be incorporated into the proposed project’s design. FINAL REPORT SHAANXI QINLING BIODIVERSITY CONSERVATION AND DEMONSTRATION PROJECT PREPARED FOR Shaanxi Provincial Government And the Asian Development Bank ANZDEC LIMITED September 2007 CURRENCY EQUIVALENTS (as at 1 June 2007) Currency Unit – Chinese Yuan {CNY}1.00 = US $0.1308 $1.00 = CNY 7.64 ABBREVIATIONS ADB – Asian Development Bank BAP – Biodiversity Action Plan (of the PRC Government) CAS – Chinese Academy of Sciences CASS – Chinese Academy of Social Sciences CBD – Convention on Biological Diversity CBRC – China Bank Regulatory Commission CDA - Conservation Demonstration Area CNY – Chinese Yuan CO – company CPF – country programming framework CTF – Conservation Trust Fund EA – Executing Agency EFCAs – Ecosystem Function Conservation Areas EIRR – economic internal rate of return EPB – Environmental Protection Bureau EU – European Union FIRR – financial internal rate of return FDI – Foreign Direct Investment FYP – Five-Year Plan FS – Feasibility -
E-Commerce Poverty Alleviation Experience in Shaanxi Province
Best Practice on the Inclusive Trade of the APEC Region Xi’an Experience in E-commerce Poverty Alleviation APEC E-Commerce Business Alliance December 4, 2018 Contents Preface ........................................................................................................................... 2 E-commerce Poverty Alleviation Experience in Shaanxi Province ......................... 5 1. Do a Good Job in Design and Work in an All-round Way .................................. 5 2. Lay a Solid Foundation and Create a Good Environment .................................. 5 3. Bring in Competitive Enterprises to Lead E-commerce Poverty Alleviation ..... 6 4. Coordinate Production and Marketing to Promote Connectivity between Agriculture and Commerce ..................................................................................... 6 5. Conduct Personnel Training and Strengthen the Service System ....................... 6 6. Innovate the Business Modes.............................................................................. 7 Typical Cases of E-commerce Poverty Alleviation in Shaanxi Province ................ 9 1. Lantian County, Xi’an City .............................................................................. 9 2. Yaozhou District, Tongchuan City ................................................................. 12 3. Ankang City ................................................................................................... 14 4. Huinong E-commerce Co., Ltd. .................................................................... -
Addition of Clopidogrel to Aspirin in 45 852 Patients with Acute Myocardial Infarction: Randomised Placebo-Controlled Trial
Articles Addition of clopidogrel to aspirin in 45 852 patients with acute myocardial infarction: randomised placebo-controlled trial COMMIT (ClOpidogrel and Metoprolol in Myocardial Infarction Trial) collaborative group* Summary Background Despite improvements in the emergency treatment of myocardial infarction (MI), early mortality and Lancet 2005; 366: 1607–21 morbidity remain high. The antiplatelet agent clopidogrel adds to the benefit of aspirin in acute coronary See Comment page 1587 syndromes without ST-segment elevation, but its effects in patients with ST-elevation MI were unclear. *Collaborators and participating hospitals listed at end of paper Methods 45 852 patients admitted to 1250 hospitals within 24 h of suspected acute MI onset were randomly Correspondence to: allocated clopidogrel 75 mg daily (n=22 961) or matching placebo (n=22 891) in addition to aspirin 162 mg daily. Dr Zhengming Chen, Clinical Trial 93% had ST-segment elevation or bundle branch block, and 7% had ST-segment depression. Treatment was to Service Unit and Epidemiological Studies Unit (CTSU), Richard Doll continue until discharge or up to 4 weeks in hospital (mean 15 days in survivors) and 93% of patients completed Building, Old Road Campus, it. The two prespecified co-primary outcomes were: (1) the composite of death, reinfarction, or stroke; and Oxford OX3 7LF, UK (2) death from any cause during the scheduled treatment period. Comparisons were by intention to treat, and [email protected] used the log-rank method. This trial is registered with ClinicalTrials.gov, number NCT00222573. or Dr Lixin Jiang, Fuwai Hospital, Findings Allocation to clopidogrel produced a highly significant 9% (95% CI 3–14) proportional reduction in death, Beijing 100037, P R China [email protected] reinfarction, or stroke (2121 [9·2%] clopidogrel vs 2310 [10·1%] placebo; p=0·002), corresponding to nine (SE 3) fewer events per 1000 patients treated for about 2 weeks. -
Analysis of Rural Women's Economic Participation in Shaanxi Province, China: Preliminary Results and Insights Mei Yang Allan R
Analysis of Rural Women’s Economic Participation in Shaanxi Province, China: Preliminary Results and Insights Mei Yang Allan Rae David Tripe Martin Young Huiyan Zhao School of Economics and Finance, Massey University ABSTRACT China has made significant progress in economic reform. This has entailed large scale migration and urbanization, but there is an accompanying problem of position of women in agricultural production in rural areas. To explore this, the study examines rural women’s barriers and potential in economic participation in Shaanxi province through a survey of 356 rural women including both those engaging in farming and off-farming activities from three regions of Shaanxi with different developing characteristics. We use a mixed research methodology with both qualitative and quantitative elements. Unlike a handful of previous relevant studies, the collection of primary data allows a more in depth and systematic analysis of the current situation of rural women and the barriers they are facing. Preliminary results indicate that the situation of rural women in China presents a range of characteristics due to political factors, geographical location, low education attainment, and their role as care-providers. The results presented here here is mainly concerning the part of rural women engaging in farming. 1. Introduction Over the last three decades, China’s industrialization and urbanization have been on an unprecedented scale(Bank, 2014): Around 250 million migrants have moved to cities from rural areas (NBSC, 2012) in supporting the country’s rapid economic growth which has averaged around 10% annually. Meanwhile, starting from 2000, the number of left-behind rural women1 or using a specific term in Chinese, Liushou women has increased sharply and it still increases each year. -
Multi-Disciplinary Determination of the Rural/Urban Boundary: a Case Study in Xi’An, China
sustainability Article Multi-Disciplinary Determination of the Rural/Urban Boundary: A Case Study in Xi’an, China Lei Fang 1,2 and Yingjie Wang 1,2,* 1 State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China; [email protected] 2 University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China * Correspondence: [email protected]; Tel.: +86-010-6488-9077 Received: 19 June 2018; Accepted: 23 July 2018; Published: 26 July 2018 Abstract: Rapid urbanization in China has blurred the boundaries between rural and urban areas in both geographic and conceptual terms. Accurately identifying this boundary in a given area is an important prerequisite for studies of these areas, but previous research has used fairly simplistic factors to distinguish the two areas (such as population density). In this study, we built a model combining multi-layer conditions and cumulative percentage methods based on five indicators linking spatial, economic, and demographic factors to produce a more comprehensive and quantitative method for identifying rural and urban areas. Using Xi’an, China as a case study, our methods produced a more accurate determination of the rural-urban divide when compared to data from the National Bureau of Statistics of the People’s Republic of China. Specifically, the urbanization level was 3.24% lower in the new model, with a total urban area that was 621.87 km2 lower. These results were checked by field survey and satellite imagery for accuracy. -
Review of the Leafhopper Subgenus Pediopsoides (Sispocnis) (Hemiptera, Cicadellidae, Eurymelinae, Macropsini) with Description of Two New Species from China
A peer-reviewed open-access journal ZooKeys 855: 71–83 (2019)Review of the leafhopper subgenus Pediopsoides from China 71 doi: 10.3897/zookeys.855.33591 RESEARCH ARTICLE http://zookeys.pensoft.net Launched to accelerate biodiversity research Review of the leafhopper subgenus Pediopsoides (Sispocnis) (Hemiptera, Cicadellidae, Eurymelinae, Macropsini) with description of two new species from China Hu Li1, Juan Li1, Ren-Huai Dai2 1 Shaanxi Key Laboratory of Bio-resources, School of Biological Science & Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi, 723000 P.R. China 2 Institute of Entomology of Guizhou University, The Provincial Key Laboratory for Agricultural Pest Management of Mountainous Region, Guiyang, Guizhou, 550025 P.R. China Corresponding author: Ren-Huai Dai ([email protected], [email protected]) Academic editor: James Zahniser | Received 1 February 2019 | Accepted 13 May 2019 | Published 13 June 2019 http://zoobank.org/11E1DA4C-F060-48ED-BDDB-F4D99C5E098D Citation: Li H, Li J, Dai R-H (2019) Review of the leafhopper subgenus Pediopsoides (Sispocnis) (Hemiptera, Cicadellidae, Eurymelinae, Macropsini) with description of two new species from China. ZooKeys 855: 71–83. https:// doi.org/10.3897/zookeys.855.33591 Abstract The leafhopper subgenusPediopsoides (Sispocnis) Anufriev, 1967 is reviewed and the type species is fixed as Bythoscopus kogotensis Matsumura, 1912. Six valid species of the subgenus are recognized including two new species described and illustrated here, Pediopsoides (Sispocnis) rectus Li, Li & Dai, sp. nov. and P. (S.) triangulus Li, Li & Dai, sp. nov. from Sichuan Province of Southwestern China. Additionally P. (S.) heterodigitatus Dai & Zhang, 2009 is proposed as a junior synonym of P. (S.) aomians (Kuoh, 1981) based on examination of many specimens. -
Distribution, Genetic Diversity and Population Structure of Aegilops Tauschii Coss. in Major Whea
Supplementary materials Title: Distribution, Genetic Diversity and Population Structure of Aegilops tauschii Coss. in Major Wheat Growing Regions in China Table S1. The geographic locations of 192 Aegilops tauschii Coss. populations used in the genetic diversity analysis. Population Location code Qianyuan Village Kongzhongguo Town Yancheng County Luohe City 1 Henan Privince Guandao Village Houzhen Town Liantian County Weinan City Shaanxi 2 Province Bawang Village Gushi Town Linwei County Weinan City Shaanxi Prov- 3 ince Su Village Jinchengban Town Hancheng County Weinan City Shaanxi 4 Province Dongwu Village Wenkou Town Daiyue County Taian City Shandong 5 Privince Shiwu Village Liuwang Town Ningyang County Taian City Shandong 6 Privince Hongmiao Village Chengguan Town Renping County Liaocheng City 7 Shandong Province Xiwang Village Liangjia Town Henjin County Yuncheng City Shanxi 8 Province Xiqu Village Gujiao Town Xinjiang County Yuncheng City Shanxi 9 Province Shishi Village Ganting Town Hongtong County Linfen City Shanxi 10 Province 11 Xin Village Sansi Town Nanhe County Xingtai City Hebei Province Beichangbao Village Caohe Town Xushui County Baoding City Hebei 12 Province Nanguan Village Longyao Town Longyap County Xingtai City Hebei 13 Province Didi Village Longyao Town Longyao County Xingtai City Hebei Prov- 14 ince 15 Beixingzhuang Town Xingtai County Xingtai City Hebei Province Donghan Village Heyang Town Nanhe County Xingtai City Hebei Prov- 16 ince 17 Yan Village Luyi Town Guantao County Handan City Hebei Province Shanqiao Village Liucun Town Yaodu District Linfen City Shanxi Prov- 18 ince Sabxiaoying Village Huqiao Town Hui County Xingxiang City Henan 19 Province 20 Fanzhong Village Gaosi Town Xiangcheng City Henan Province Agriculture 2021, 11, 311. -
Study on Chronic Diseases Comprehensive Intervention in Baoji of Shaanxi Province in China
Open Journal of Epidemiology, 2014, 4, 179-187 Published Online November 2014 in SciRes. http://www.scirp.org/journal/ojepi http://dx.doi.org/10.4236/ojepi.2014.44024 Study on Chronic Diseases Comprehensive Intervention in Baoji of Shaanxi Province in China Honglin Wang, Feng Deng*, Meng Qu, Peirong Yang, Biao Yang Baoji Center for Disease Control and Prevention, Baoji, China Email: *[email protected] Received 5 August 2014; revised 5 September 2014; accepted 5 October 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Background: There is very limited data available about the epidemiology trial on chronic diseases comprehensive intervention. The aim of this study was to assess the effect of comprehensive in- tervention on chronic diseases in Baoji and provide basis for the improvement of chronic diseases intervention measures. Methods: Using four stages stratified random sampling method, compre- hensive intervention measures were implemented on intervention group (575 individuals) re- spectively aimed at three crowds of whole population, high risk population and chronic diseases patients. The control group (782 individuals) did not receive special treatment. Two groups were evaluated effect after one year observation. Results: The chronic diseases prevalence rate of whole population in intervention group was lower than that in control group (P < 0.05), the blood pres- sure level and smoking proportion of high risk population in intervention group were lower than in control group (P < 0.05), and the blood pressure, blood glucose control rate of chronic diseases patients in intervention group were higher than in control group (P < 0.05).