Occurrence of Trichophyton Verrucosum in Cattle in the Ningxia
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Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: a Case of the Ningxia Hui Autonomous Region, China
sustainability Article Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: A Case of the Ningxia Hui Autonomous Region, China Rong Li 1, Rui Han 1, Qianru Yu 1, Shuang Qi 2 and Luo Guo 1,* 1 College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China; [email protected] (R.L.); [email protected] (R.H.); [email protected] (Q.Y.) 2 Department of Geography, National University of Singapore; Singapore 117570, Singapore; [email protected] * Correspondence: [email protected] Received: 25 April 2020; Accepted: 26 May 2020; Published: 28 May 2020 Abstract: Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal-spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
Introduction to Mycology
INTRODUCTION TO MYCOLOGY The term "mycology" is derived from Greek word "mykes" meaning mushroom. Therefore mycology is the study of fungi. The ability of fungi to invade plant and animal tissue was observed in early 19th century but the first documented animal infection by any fungus was made by Bassi, who in 1835 studied the muscardine disease of silkworm and proved the that the infection was caused by a fungus Beauveria bassiana. In 1910 Raymond Sabouraud published his book Les Teignes, which was a comprehensive study of dermatophytic fungi. He is also regarded as father of medical mycology. Importance of fungi: Fungi inhabit almost every niche in the environment and humans are exposed to these organisms in various fields of life. Beneficial Effects of Fungi: 1. Decomposition - nutrient and carbon recycling. 2. Biosynthetic factories. The fermentation property is used for the industrial production of alcohols, fats, citric, oxalic and gluconic acids. 3. Important sources of antibiotics, such as Penicillin. 4. Model organisms for biochemical and genetic studies. Eg: Neurospora crassa 5. Saccharomyces cerviciae is extensively used in recombinant DNA technology, which includes the Hepatitis B Vaccine. 6. Some fungi are edible (mushrooms). 7. Yeasts provide nutritional supplements such as vitamins and cofactors. 8. Penicillium is used to flavour Roquefort and Camembert cheeses. 9. Ergot produced by Claviceps purpurea contains medically important alkaloids that help in inducing uterine contractions, controlling bleeding and treating migraine. 10. Fungi (Leptolegnia caudate and Aphanomyces laevis) are used to trap mosquito larvae in paddy fields and thus help in malaria control. Harmful Effects of Fungi: 1. -
Journal Pre-Proof
Journal Pre-proof Optimal temperature zone for the dispersal of COVID-19 Zhongwei Huang, Jianping Huang, Qianqing Gu, Pengyue Du, Hongbin Liang, Qing Dong PII: S0048-9697(20)33004-7 DOI: https://doi.org/10.1016/j.scitotenv.2020.139487 Reference: STOTEN 139487 To appear in: Science of the Total Environment Received date: 1 May 2020 Revised date: 9 May 2020 Accepted date: 15 May 2020 Please cite this article as: Z. Huang, J. Huang, Q. Gu, et al., Optimal temperature zone for the dispersal of COVID-19, Science of the Total Environment (2020), https://doi.org/ 10.1016/j.scitotenv.2020.139487 This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier. Journal Pre-proof Optimal temperature zone for the dispersal of COVID-19 Zhongwei Huang, Jianping Huang*, Qianqing Gu, Pengyue Du, Hongbin Liang, and Qing Dong Collaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China. *Corresponding author: Jiangping Huang ([email protected]). ABSTRACT It is essential to know the environmental parameters within which the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can survive to understand its global dispersal pattern.Journal We found that 60.0%Pre-proof of the confirmed cases of coronavirus disease 2019 (COVID-19) occurred in places where the air temperature ranged from 5°C to 15°C, with a peak in cases at 11.54°C. -
Nber Working Paper Series from Fog to Smog: the Value
NBER WORKING PAPER SERIES FROM FOG TO SMOG: THE VALUE OF POLLUTION INFORMATION Panle Jia Barwick Shanjun Li Liguo Lin Eric Zou Working Paper 26541 http://www.nber.org/papers/w26541 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 December 2019, Revised January 2020 We thank Antonio Bento, Fiona Burlig, Trudy Cameron, Lucas Davis, Todd Gerarden, Jiming Hao, Guojun He, Joshua Graff Zivin, Matt Khan, Jessica Leight, Cynthia Lin Lowell, Grant Mc- Dermott, Francesca Molinari, Ed Rubin, Ivan Rudik, Joe Shapiro, Jeff Shrader, Jörg Stoye, Jeffrey Zabel, Shuang Zhang, and seminar participants at the 2019 NBER Chinese Economy Working Group Meeting, the 2019 NBER EEE Spring Meeting, the 2019 Northeast Workshop on Energy Policy and Environmental Economics, MIT, Resources for the Future, University of Alberta, University of Chicago, Cornell University, GRIPS Japan, Indiana University, University of Kentucky, University of Maryland, University of Oregon, University of Texas at Austin, and Xiamen University for helpful comments. We thank Jing Wu and Ziye Zhang for generous help with data. Luming Chen, Deyu Rao, Binglin Wang, and Tianli Xia provided outstanding research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2019 by Panle Jia Barwick, Shanjun Li, Liguo Lin, and Eric Zou. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. -
Effects of Land Use Change on Ecosystem Services in Arid Area Eco- Logical Migration
Chin. Geogra. Sci. 2018 Vol. 28 No. 5 pp. 894–906 Springer Science Press https://doi.org/10.1007/s11769-018-0971-5 www.springerlink.com/content/1002-0063 Effects of Land Use Change on Ecosystem Services in Arid Area Eco- logical Migration LIU Xiaopeng1, 2, CHEN Xiao1, 2, HUA Kaiping1, 3, WANG Yajuan1, 2, WANG Peng1, 2, HAN Xiaojia1, 2, YE Junyan1, 2, 1, 2 WEN Shengqiang (1. School of Resources and Environment, Ningxia University, Yinchuan 750021, China; 2. Key Laboratory (China-Arab) of Resource Evaluation and Environmental Regulation of Arid Region in Ningxia, Yinchuan 750021, China; 3. School of Tourism and Environment, Shaanxi Normal University, Xi’an 710062, China) Abstract: Ecological migration is the process of increasing the population density in the immigration area and transferring the ecologi- cal pressure from emigration area to immigration area. This process may result in significant changes in land use and land cover in the area of immigration and have an important effect on ecosystem services. Therefore, scientifically revealing the effects and differentia- tion mechanisms of ecological migration on ecosystem services is becoming an important issue related to the implementation of the national ecological migration strategy in China. This study employed the Hongsibu District as a typical example of ecological migration. Hongsibu District is located in the central Ningxia steppe and desert steppe areas. Remote sensing data covering five periods from the period before ecological migration in 1995 and after migration in 2000, 2005, 2010, and 2015 was used to measure the value of ecosys- tem services (ESV). A geographical detector model and the value of ecosystem services model were used to diagnose the dynamic mechanism of the effects of land use change on ecosystem services. -
Appendix List of Institutions 1
Appendix List of Institutions 1. China International Economic and Trade Arbitration Commission 2. China Maritime Arbitration Commission 3. Beijing Arbitration Commission in Beijing Municipality 4. Tianjin Arbitration Commission in Tianjin Municipality 5. Shijiazhuang Arbitration Commission in Heibei Province 6. Handan Arbitration Commission in Heibei Province 7. Xingtai Arbitration Commission in Heibei Province 8. Cangzhou Arbitration Commission in Heibei Province 9. Chengde Arbitration Commission in Heibei Province 10. Zhangjiakou Arbitration Commission in Heibei Province 11. Hengshui Arbitration Commission in Heibei Province 12. Baoding Arbitration Commission in Heibei Province 13. Tangshan Arbitration Commission in Heibei Province 14. Qinhuangdao Arbitration Commission in Heibei Province 15. Langfang Arbitration Commission in Heibei Province 16. Datong Arbitration Commission in Shanxi Province 17. Yangquan Arbitration Commission in Shanxi Province 18. Taiyuan Arbitration Commission in Shanxi Province 19. Jinzhong Arbitration Commission in Shanxi Province 20. Changzhi Arbitration Commission in Shanxi Province 21. Jincheng Arbitration Commission in Shanxi Province 22. Yuncheng Arbitration Commission in Shanxi Province 23. Linfen Arbitration Commission in Shanxi Province 24. Hohhot Arbitration Commission in Inner Mongolia Autonomous Region 25. Wuhai Arbitration Commission in Inner Mongolia Autonomous Region 26. Baotou Arbitration Commission in Inner Mongolia Autonomous Region 27. Chifeng Arbitration Commission in Inner Mongolia Autonomous Region 28. Ordos Arbitration Commission in Inner Mongolia Autonomous Region 29. Tongliao Arbitration Commission in Inner Mongolia Autonomous Region 30. Hulunbeier Arbitration Commission in Inner Mongolia Autonomous Region 31. Anshan Arbitration Commission in Liaoning Province 32. Fushun Arbitration Commission in Liaoning Province 33. Benxi Arbitration Commission in Liaoning Province 34. Jinzhou Arbitration Commission in Liaoning Province 35. Liaoyang Arbitration Commission in Liaoning Province 36. -
The Mishu Phenomenon: Patron-Client Ties and Coalition-Building Tactics
Li, China Leadership Monitor No.4 The Mishu Phenomenon: Patron-Client Ties and Coalition-Building Tactics Cheng Li China’s ongoing political succession has been filled with paradoxes. Jockeying for power among various factions has been fervent and protracted, but the power struggle has not led to a systemic crisis as it did during the reigns of Mao and Deng. While nepotism and favoritism in elite recruitment have become prevalent, educational credentials and technical expertise are also essential. Regional representation has gained importance in the selection of Central Committee members, but leaders who come from coastal regions will likely dominate the new Politburo. Regulations such as term limits and an age requirement for retirement have been implemented at various levels of the Chinese leadership, but these rules and norms will perhaps not restrain the power of Jiang Zemin, the 76-year-old “new paramount leader.” While the military’s influence on political succession has declined during the past decade, the Central Military Commission is still very powerful. Not surprisingly, these paradoxical developments have led students of Chinese politics to reach contrasting assessments of the nature of this political succession, the competence of the new leadership, and the implications of these factors for China’s future. This diversity of views is particularly evident regarding the ubiquitous role of mishu in the Chinese leadership. The term mishu, which literally means “secretary” in Chinese, refers to a range of people who differ significantly from each other in terms of the functions they fulfill, the leadership bodies they serve, and the responsibilities given to them. -
See Front Matter © 2006 Published by Elsevier B.V
Tectonophysics 420 (2006) 253–266 www.elsevier.com/locate/tecto Crustal structure of the northeastern margin of the Tibetan plateau from the Songpan-Ganzi terrane to the Ordos basin ⁎ Mingjun Liu a,b, Walter D. Mooney b, , Songlin Li a,b, Nihal Okaya b, Shane Detweiler b a Geophysical Exploration Center, China Earthquake Administration, 104 Wenhua Road, Zhengzhou, Henan 450002, China b U. S. Geological Survey, 345 Middlefield Road, Menlo Park, CA 94025, USA Received 19 January 2005; received in revised form 17 October 2005; accepted 4 January 2006 Available online 5 May 2006 Abstract The 1000-km-long Darlag–Lanzhou–Jingbian seismic refraction profile is located in the NE margin of the Tibetan plateau. This profile crosses the northern Songpan-Ganzi terrane, the Qinling-Qilian fold system, the Haiyuan arcuate tectonic region, and the stable Ordos basin. The P-wave and S-wave velocity structure and Poisson's ratios reveal many significant characteristics in the profile. The crustal thickness increases from northeast to southwest. The average crustal thickness observed increases from 42 km in the Ordos basin to 63 km in the Songpan-Ganzi terrane. The crust becomes obviously thicker south of the Haiyuan fault and beneath the West-Qinlin Shan. The crustal velocities have significant variations along the profile. The average P-wave velocities for the crystalline crust vary between 6.3 and 6.4 km/s. Beneath the Songpan-Ganzi terrane, West-Qinling Shan, and Haiyuan arcuate tectonic region P-wave velocities of 6.3 km/s are 0.15 km/s lower than the worldwide average of 6.45 km/s. -
Prevalence & Distribution of Keratinophilic Fungi in Relation To
African Journal of Microbiology Research Vol. 6(42), pp. 6973-6977, 6 November, 2012 Available online at http://www.academicjournals.org/AJMR DOI: 10.5897/AJMR12.897 ISSN 1996-0808 ©2012 Academic Journals Full Length Research Paper A descriptive study of keratinophilic fungal flora of animal and bird habitat, Jaipur, Rajasthan Neetu Jain* and Meenakshi Sharma Laboratory of Microbiology, Department of Botany, University of Rajasthan, Jaipur India. Accepted 30 May, 2012 Keratinophilic fungi occur abundantly in the superficial soil layer of landfills and their surrounding. Forty seven soil samples of animal (37 samples) and bird (10 samples) habitats from different localities of Jaipur District were collected for the estimation of keratinophilic fungi using the hair baiting technique. Seventy five isolates belonging to 14 genera and 20 species were reported. Soil pH range varies from 6.5 to 10.5. But most of the fungi (33.33%) were isolated from neutral soil (pH 7.0). Chrysosporium tropicum (25.33%) was the predominant fungi isolated from both habitats soil. This was followed by the predominance of Trichophyton terrestre (12%), Trichophyton mentagrophytes (9.3%), C. indicum (5.33%), Actinomyces sp. (6.67%), and Nocardia sp. (6.67%) in both habitats. Interestingly, Exserophilum sp., Microsporum audouinii, Trichophyton verrucosum were isolated for the first time from Jaipur India. Key words: Dermatophytes, Trichophyton, Microsporum, Chrysosporium, soil fungi. INTRODUCTION Keratinophilic fungi include a variety of filamentous fungi may be exploited for their biotechnological potential in mainly comprising of hyphomycetes and several other industry (Kaul and Sumbali, 1999). Keratinophilic fungi taxonomic groups. Hypomycetes include dermatophytes are generally considered as soil saprophytes (Ajello, and a great variety of non dermatophytic filamentous 1953). -
中國中鐵股份有限公司 CHINA RAILWAY GROUP LIMITED (A Joint Stock Limited Company Incorporated in the People’S Republic of China with Limited Liability) (Stock Code: 390)
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. 中國中鐵股份有限公司 CHINA RAILWAY GROUP LIMITED (A joint stock limited company incorporated in the People’s Republic of China with limited liability) (Stock Code: 390) This overseas regulatory announcement is made pursuant to Rule 13.10B of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited. Please refer to the attached “Announcement of China Railway Group Limited on Winning of Bids for Material Projects” published by China Railway Group Limited on the Shanghai Stock Exchange website on 30 March 2020 for your information. By Order of the Board China Railway Group Limited Zhang Zongyan Chairman 30 March 2020 As at the date of this announcement, the executive directors of the Company are ZHANG Zongyan (Chairman), CHEN Yun and ZHANG Xian; the independent non-executive directors are GUO Peizhang, WEN Baoman, ZHENG Qingzhi and CHUNG Shui Ming Timpson; and the non- executive director is MA Zonglin. A Shares Stock Code: 601390 A Shares Stock Name: China Railway Announcement No.: H Shares Stock Code: 00390 H Shares Stock Name: China Railway Lin 2020-024 Announcement of China Railway Group Limited on Winning of Bids for Material Projects The board of directors of China Railway Group Limited (the “Company”) and all the directors hereby undertake that this announcement does not have any false or misleading statements or any material omissions, and assume the joint and several liabilities for the truthfulness, accuracy and completeness of the contents. -
The Case of Ningxia Autonomous Region, China
IZA DP No. 8595 Mapping and Understanding Ethnic Disparities in Length of Schooling: The Case of Ningxia Autonomous Region, China Björn Gustafsson Ding Sai October 2014 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Mapping and Understanding Ethnic Disparities in Length of Schooling: The Case of Ningxia Autonomous Region, China Björn Gustafsson Göteborg University and IZA Ding Sai Chinese Academy of Social Sciences Discussion Paper No. 8595 October 2014 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion.