Showing 21 - 40 results of 540 for search '"Mongolia"', query time: 0.05s Refine Results
  1. 21

    Identification of Staphylococcus aureus Causing Contamination in Raw Beef and Meat-Processing Environments in Ulaanbaatar, Mongolia by Amgalanzaya Dorjgochoo, Anujin Batbayar, Altansukh Tsend-Ayush, Bayarlakh Byambadorj, Sarantuya Jav, Munkhdelger Yandag

    Published 2025-01-01
    “…The prevalence of methicillin-resistant S. aureus (MRSA) ranges from 10%–50% in China and Russia, neighboring countries of Mongolia. This study aimed to assess S. aureus contamination in raw beef samples and surface swabs from meat-processing areas and markets, while detecting, as well as to detect virulence and resistance genes in the isolates. …”
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    Quantitative Analysis of Driving Factors of Grassland Degradation: A Case Study in Xilin River Basin, Inner Mongolia by Yichun Xie, Zongyao Sha

    Published 2012-01-01
    “…Based on the analysis of satellite vegetation maps from 1984, 1998, and 2004 for the Xilin River Basin, Inner Mongolia, China, and binary logistic regression (BLR) analysis, we observe the following: (1) grassland degradation is positively correlated with the growth density of climax communities; (2) our findings do not support a common notion that a decrease of biological productivity is a direct indicator of grassland degradation; (3) a causal relationship between grazing intensity and grassland degradation was not found; (4) degradation severity increased steadily towards roads but showed different trends near human settlements. …”
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    NDVI-Based Vegetation Change in Inner Mongolia from 1982 to 2006 and Its Relationship to Climate at the Biome Scale by Linghui Guo, Shaohong Wu, Dongsheng Zhao, Yunhe Yin, Guoyong Leng, Qingyu Zhang

    Published 2014-01-01
    “…Based on the normalized difference vegetation index (NDVI), we analyzed vegetation change of the six major biomes across Inner Mongolia at the growing season and the monthly timescales and estimated their responses to climate change between 1982 and 2006. …”
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  6. 26

    Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China by Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao

    Published 2025-02-01
    “…Cropland status maps were successfully generated for Inner Mongolia from 2000 to 2022 with annual accuracy between 97% and 99%. …”
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  7. 27

    Digital financial inclusion's impact on farmers' income and spatial spillover effects: Evidence from inner Mongolia, China by Hua Li, Xue Wei, Wenhui Chen

    Published 2025-02-01
    “…This study analyzes data from 12 prefecture-level cities in the Inner Mongolia Autonomous Region from 2011 to 2022 to investigate how digital financial inclusion(DFI) affects the increase in farmers' incomes and its spatial spillover effects. …”
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    Critical signals for grassland desertification prediction in the transition zone between desert and typical steppe in InnerMongolia, China by Baoping Meng, Zhuoyan Jin, Jin Chen, Yili Kuang, Shuhua Yi, Yanyan Lv, Jinrong Li

    Published 2025-01-01
    “…In this research, the transition zone between desert and typical steppe in Inner Mongolia, China was studied. We analyzed vegetation patch features (including percentage of landscape (PLAND), patch density (PD), largest patch index (LPI), and perimeter-area ratio distribution (PARA)), species diversity indices (Shannon-Wiener, Simpson, Margalef, Pielou), soil seed bank density, similarity index, and established their relations. …”
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  10. 30

    Drunkards and Singers: A Mongolian Battle of Sounds by Laurent Legrain

    Published 2016-12-01
    Subjects: “…Mongolia…”
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    Mille quatre-vingts bougies by Véronique Gruca

    Published 2022-10-01
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    Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data by Gantuya Ganbat, Halim Lee, Hyun-Woo Jo, Batbayar Jadamba, Daniel Karthe

    Published 2022-08-01
    “…Abstract The study aims to reveal the impact of three sequential strict-lockdowns of COVID-19 measures on the air pollutants including NO2, SO2, PM10, and PM2.5 in Ulaanbaatar, Mongolia during November 2020–February 2021 based on air quality network and satellite data. …”
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  14. 34

    Farmers’ Willingness to Pay a High Premium for Different Types of Agricultural Insurance: Evidence from Inner Mongolia, China by Xinya Guo, Yuanfeng Zhao, Muhammad Umer Arshad, Yufei Gong

    Published 2022-01-01
    “…The contingent valuation method was used to collect the data about farmers’ willingness to pay and preferences from 252 households across three cities of Inner Mongolia, China. The result of empirical estimation indicates that farmers with less experience and high income tend to choose “60% of full-cost insurance product.” …”
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    Speciation, Fate and Transport, and Ecological Risks of Cu, Pb, and Zn in Tailings from Huogeqi Copper Mine, Inner Mongolia, China by Liwei Chen, Jun Wu, Jian Lu, Chulin Xia, Michael A. Urynowicz, Zaixing Huang, Li Gao, Mingying Ma

    Published 2018-01-01
    “…Tailings collected from the tailing reservoir at Huogeqi Copper Mine, located in Inner Mongolia, China, were used in a leachate study to evaluate the acid potential, neutralization potential, and possibility for producing acid mine drainage (AMD) from the site. …”
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    Trends in sedentary behaviour and associated factors among adults in Mongolia: results from national cross-sectional surveys in 2009, 2013 and 2019 by Supa Pengpid, Karl Peltzer

    Published 2022-06-01
    “…Objective The study aimed to evaluate trends in the prevalence and correlates of sedentary behaviour (SB) in people aged 15–64 years from 2009 to 2019 in Mongolia.Design Repeat population-based cross-sectional study.Setting Nationally representative sample of persons living in the general community aged 15–64 years in Mongolia.Participants The sample included 17 780 people (15–64 years) who participated in Mongolia STEPS surveys 2009, 2013 or 2019.Primary and secondary outcome measures: self-reported SB, along with physical measurements, health status and health behaviour, and sociodemographic covariates. …”
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