scholarly journals Environmental policy evaluation from the perspective of farmers' perception in arid oasis ecosystem: Experiences of Minqin, Northwest China

2017 ◽  
Vol 19 (2) ◽  
pp. 289-299
Keyword(s):  
Logistic Regression ◽  
Environmental Policy ◽  
Policy Evaluation ◽  
Arable Land ◽  
Policy Issue ◽  
Northwest China ◽  
Ordinal Logistic Regression ◽  
Gansu Province ◽  
Oasis Ecosystem ◽  
Minqin Oasis

Effective eco-environment rehabilitation is an essential policy issue in arid oasis ecosystem. Since 2007, a policy which focuses on environment restoration and protection was implemented in the Shiyang River Basin of Gansu Province, China. Using Minqin oasis as a case, the effectiveness of policy impacts based on farmers’ perception was evaluated. In addition, an ordinal logistic regression model was used to explore the potential factors affecting farmers’ perception of policy effectiveness. Data were collected from household heads or spouses and other adults (age>18) separately in a random sample of 425 households. The results showed that positive outcomes were achieved, however, two policy measures—the water restrictions and the ecological migration project—were rated at a low level of satisfaction by the farmers. Moreover, 11 determinants were extracted by the logistic regression method, and indicating that economic factors including the ownership of the arable land and the availability of household income turned out to be the most significant. The results can help to establish eco-environmental restoration targets, encourage investments, and lead to the development of more applicable methods for assessing policy effects from the perspective of smallholders in ecologically fragile areas all over the world. Keywords: Environmental policy evaluation; Farmers’ perception; Ordinal logistic regression; Minqin oasis; Northwest China

scholarly journals Seroprevalence and Risk Factors ofChlamydia abortusInfection in Tibetan Sheep in Gansu Province, Northwest China

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Si-Yuan Qin ◽  
Ming-Yang Yin ◽  
Wei Cong ◽  
Dong-Hui Zhou ◽  
Xiao-Xuan Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Northwest China ◽  
Gansu Province ◽  
Factors Associated ◽  
Tibetan Sheep ◽  
Different Seasons

Chlamydia abortus, an important pathogen in a variety of animals, is associated with abortion in sheep. In the present study, 1732 blood samples, collected from Tibetan sheep between June 2013 and April 2014, were examined by the indirect hemagglutination (IHA) test, aiming to evaluate the seroprevalence and risk factors ofC. abortusinfection in Tibetan sheep. 323 of 1732 (18.65%) samples were seropositive forC. abortusantibodies at the cut-off of 1 : 16. A multivariate logistic regression analysis was used to evaluate the risk factors associated with seroprevalence, which could provide foundation to prevent and controlC. abortusinfection in Tibetan sheep. Gender of Tibetan sheep was left out of the final model because it is not significant in the logistic regression analysis (P>0.05). Region, season, and age were considered as major risk factors associated withC. abortusinfection in Tibetan sheep. Our study revealed a widespread and high prevalence ofC. abortusinfection in Tibetan sheep in Gansu province, northwest China, with higher exposure risk in different seasons and ages and distinct geographical distribution.

scholarly journals Native Arbuscular Mycorrhizal Fungi Characterization from Saline Lands in Arid Oases, Northwest China

2020 ◽  
Vol 6 (2) ◽  
pp. 80
Author(s):  
Erica Lumini ◽  
Jing Pan ◽  
Franco Magurno ◽  
Cuihua Huang ◽  
Valeria Bianciotto ◽  
...  
Keyword(s):  
Arbuscular Mycorrhizal Fungi ◽  
Mycorrhizal Fungi ◽  
Arbuscular Mycorrhizal ◽  
Northwest China ◽  
Gansu Province ◽  
Central China ◽  
Saline Soils ◽  
Trap Plants ◽  
Set Up ◽  
Minqin Oasis

Arbuscular mycorrhizal fungi (AMF) colonize land plants in almost every ecosystem, even in extreme conditions, such as saline soils. In the present work, we report the mycorrhizal capacity of rhizosphere soils collected in the dry desert region of the Minqin Oasis, located in the northwest of China (Gansu province), which is characterized by several halophytes. Lycium spp. and Peganum nigellastrum were used as trap plants in a greenhouse experiment to identify autochthonous AMF associated with the halophytes’ rhizospheres. Morphological observations showed the typical AMF structures inside roots. Twenty-six molecularly distinct AMF taxa were recovered from soil and root DNA. The taxonomical diversity mirrors the several AMF adapted to extreme environmental conditions, such as the saline soil of central China. Knowledge of the AMF associated with halophytes may contribute to select specific fungal isolates to set up agriculture strategies for protecting non-halophyte crop plants in saline soils.

scholarly journals Global Sensory Impairment Independently Predicts Decreased Social Function Over Time

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 414-414
Author(s):  
Anna Huang ◽  
Kristen Wroblewski ◽  
Ashwin Kotwal ◽  
Linda Waite ◽  
Martha McClintock ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Cognitive Function ◽  
Social Engagement ◽  
Social Function ◽  
Ordinal Logistic Regression ◽  
Sensory Function ◽  
Sensory Impairment ◽  
Over Time

Abstract The classical senses (vision, hearing, touch, taste, and smell) play a key role in social function by allowing interaction and communication. We assessed whether sensory impairment across all 5 modalities (global sensory impairment [GSI]) was associated with social function in older adults. Sensory function was measured in 3,005 home-dwelling older U.S. adults at baseline in the National Social Life, Health, and Aging Project and GSI, a validated measure, was calculated. Social network size and kin composition, number of close friends, and social engagement were assessed at baseline and 5- and 10-year follow-up. Ordinal logistic regression and mixed effects ordinal logistic regression analyzed cross-sectional and longitudinal relationships respectively, controlling for demographics, physical/mental health, disability, and cognitive function (at baseline). Adults with worse GSI had smaller networks (β=-0.159, p=0.021), fewer close friends (β=-0.262, p=0.003) and lower engagement (β=-0.252, p=0.006) at baseline, relationships that persisted at 5 and 10 year follow-up. Men, older people, African-Americans, and those with less education, fewer assets, poor mental health, worse cognitive function, and more disability had worse GSI. Men and those with fewer assets, worse cognitive function, and less education had smaller networks and lower engagement. African-American and Hispanic individuals had smaller networks and fewer close friends, but more engagement. Older respondents also had more engagement. In summary, GSI independently predicts smaller social networks, fewer close friends, and lower social engagement over time, suggesting that sensory decline results in decreased social function. Thus, rehabilitating multisensory impairment may be a strategy to enhance social function as people age.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

scholarly journals Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index

2021 ◽  
Vol 13 (9) ◽  
pp. 5274
Author(s):  
Xinyang Yu ◽  
Younggu Her ◽  
Xicun Zhu ◽  
Changhe Lu ◽  
Xuefei Li
Keyword(s):  
Arable Land ◽  
Ground Truth ◽  
Northwest China ◽  
Hexi Corridor ◽  
Ground Truth Data ◽  
Land Protection ◽  
Promising Tool ◽  
Study Results ◽  
Multi Temporal ◽  
The Mean

Development of a high-accuracy method to extract arable land using effective data sources is crucial to detect and monitor arable land dynamics, servicing land protection and sustainable development. In this study, a new arable land extraction index (ALEI) based on spectral analysis was proposed, examined by ground truth data, and then applied to the Hexi Corridor in northwest China. The arable land and its change patterns during 1990–2020 were extracted and identified using 40 Landsat TM/OLI images acquired in 1990, 2000, 2010, and 2020. The results demonstrated that the proposed method can distinguish arable land areas accurately, with the User’s (Producer’s) accuracy and overall accuracy (kappa coefficient) exceeding 0.90 (0.88) and 0.89 (0.87), respectively. The mean relative error calculated using field survey data obtained in 2012 and 2020 was 0.169 and 0.191, respectively, indicating the feasibility of the ALEI method in arable land extracting. The study found that arable land area in the Hexi Corridor was 13217.58 km2 in 2020, significantly increased by 25.33% compared to that in 1990. At 10-year intervals, the arable land experienced different change patterns. The study results indicate that ALEI index is a promising tool used to effectively extract arable land in the arid area.

scholarly journals Prevalence of gastrointestinal parasites in free-range yaks (Bos grunniens) in Gansu Province, Northwest China

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Si-Yuan Qin ◽  
Ming-Yang Yin ◽  
Guang-Yao Song ◽  
Qi-Dong Tan ◽  
Jin-Lei Wang ◽  
...  
Keyword(s):  
Northwest China ◽  
Gansu Province ◽  
Gastrointestinal Parasites ◽  
Economic Losses ◽  
Parasitic Infections ◽  
Cattle Industry ◽  
Free Range ◽  
Bos Grunniens ◽  
High Prevalence ◽  
Different Seasons

Abstract Background Little information about the prevalence of gastrointestinal parasites in yaks (Bos grunniens) in northwest China is available. Therefore, the objective of the study was to quantify faecal egg counts of gastrointestinal parasites (helminths and coccidia) in free-range yaks from Gannan Tibetan Autonomous Prefecture, Gansu Province, Northwest China. Results Parasites were detected in 290 of 733 (39.56%) faecal samples. The results showed that Strongylidae, Trichuris spp. and Eimeria spp. were detected all year round, Strongyloides papillosus was detected in autumn and summer, and Nematodirus spp. was detected in both autumn and spring. In contrast, Fasciola spp. was only detected in spring. The prevalence rates of parasitic infections in different seasons were significantly different. Conclusions To our knowledge, this is the first investigation of gastrointestinal parasites in yaks (Bos grunniens) in Gansu, China. The results demonstrated a high prevalence of gastrointestinal parasitic infections, specifically GN infections, in yaks in GTAP and these infections can cause economic losses to the local cattle industry.

Depression as a Risk Factor for Denture Dissatisfaction

2007 ◽  
Vol 86 (9) ◽  
pp. 852-856 ◽  
Author(s):  
M.T. John ◽  
W. Micheelis ◽  
J.G. Steele
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Full Range ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Population Based ◽  
Ordinal Logistic Regression ◽  
Unit Increase ◽  
Impaired Health ◽  
Simple Logistic

Depression is associated with impaired health outcomes. This study investigated whether there is a significant association between depression and dissatisfaction with dentures in older adults. In a population-based study (1180 adults aged 65–74 yrs), depression was measured by an abbreviated Geriatric Depression Scale. Denture dissatisfaction was assessed with a five-point Likert-type question ("very dissatisfied" to "very satisfied"). The depression-denture dissatisfaction association was analyzed with simple (dissatisfied vs. not dissatisfied outcome) and ordinal logistic regression (based on outcome’s full range). For each unit increase on the 15-point depression scale, the probability of denture dissatisfaction increased by 24% [95% confidence interval, 15–34%, P < 0.001 (simple logistic regression)] and the probability for higher levels on the five-point dissatisfaction scale increased by 16% [95% CI, 11–22%, P < 0.001 (ordinal logistic regression)], adjusted for potential confounding variables. The likely causal association in older adults has major implications for the evaluation of treatment effects and the demand for prosthodontic therapy.

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