Assessment of water quality observation stations using cluster analysis and ordinal logistic regression technique

2010 ◽  
Vol 42 (4) ◽  
pp. 344 ◽  
Author(s):  
Suheyla Yerel ◽  
A. Sermet Anagun
Weed Science ◽  
2020 ◽  
pp. 1-10
Author(s):  
Aldo Ferrero ◽  
Silvia Fogliatto ◽  
Andrea Barberi ◽  
Francesco Vidotto

Abstract Weedy rice (Oryza sativa L.) is a troublesome rice (Oryza sativa L.) weed in Italy and in many other rice areas. The objective of this study was to correlate the O. sativa infestation level in northern Italy, the main European rice-growing area, with agricultural practices adopted by farmers by using data obtained from a farmer survey. In 2018 to 2019, a survey was carried out on 98 rice farms chosen to ensure different sizes, different cultivation practices, and variable degrees of O. sativa infestation. The following information was acquired: farm size; area cultivated with Clearfield® varieties; the most-adopted agronomic practices (type of tillage, crop rotation, type of sowing, water management, origin of seeds, adoption of stale seedbed, use of imazamox, presence of O. sativa resistant to imazamox); and level of O. sativa infestation: low (≤5 plants m−2), medium (>5 to 20 plants m−2), and high (>20 plants m−2). The data were analyzed through descriptive statistics and ordinal logistic regression to determine which agronomic practices influenced the level of O. sativa infestation. Farm clustering was also determined through two-step cluster analysis. Rice was cultivated as a monocrop and mainly sown in water, using purchased seeds, in plowed fields. More than half of the farms used the stale seedbed practice, and 63% adopted Clearfield® varieties, while about 45% of the farms reported imazamox-resistant O. sativa. The ordinal logistic regression underlined that use of a stale seedbed was correlated with the infestation level of O. sativa, and the two-step cluster analysis showed that the farms were mainly grouped based on the use of this technique. Most of the farms that used a stale seedbed had higher O. sativa infestation than those that did not use it, meaning that this practice was mainly applied in zones where O. sativa infestations were more serious.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 414-414
Author(s):  
Anna Huang ◽  
Kristen Wroblewski ◽  
Ashwin Kotwal ◽  
Linda Waite ◽  
Martha McClintock ◽  
...  

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.


2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo

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.


2014 ◽  
Vol 641-642 ◽  
pp. 860-865
Author(s):  
You Jin Lim ◽  
Hak Ryong Moon ◽  
Won Pyoung Kang

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. This study was attempted to identify factors affecting severity of the community road accidents. In particular, our analyses were focused on the community road accidents. A binary logistic regression technique was adopted for the analyses. The results showed that pedestrians of 65 years or older, cloudy, fence (sidewalk/driveway barrier), drivers of 24 years or younger, left/right turning, female pedestrian, non-business vehicle were dominant factors for the severity.


2013 ◽  
Vol 27 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Brianna L. Newland ◽  
Laurence Chalip ◽  
John L. Ivy

To determine whether athletes are confused about supplementation, this study examines the relative levels of adult runners’ and triathletes’ preferences for postexercise recovery drink attributes (price, fat, taste, scientific evidence, and endorsement by a celebrity athlete), and the ways those preferences segment. It then examines the effect of athlete characteristics on segment and drink choice. Only a plurality of athletes (40.6%) chose a carbohydrate-protein postexercise recovery drink (the optimal choice), despite the fact that they valued scientific evidence highly. Athletes disliked or were indifferent to endorsement by a celebrity athlete, moderately disliked fat, and slightly preferred better tasting products. Cluster analysis of part-worths from conjoint analysis identified six market segments, showing that athletes anchored on one or two product attributes when choosing among alternatives. Multinomial logistic regression revealed that media influence, hours trained, market segment, gender, and the athlete’s sport significantly predicted drink choice, and that segment partially mediated the effect of sport on drink choice. Findings demonstrate confusion among athletes when there are competing products that each claim to support their training.


2011 ◽  
Vol 37 (4) ◽  
pp. 629-635 ◽  
Author(s):  
István Gábor Hatvani ◽  
József Kovács ◽  
Ilona Székely Kovács ◽  
Pál Jakusch ◽  
János Korponai

Sign in / Sign up

Export Citation Format

Share Document