scholarly journals Improving estimates of environmental change using multilevel regression models of Ellenberg indicator values

2018 ◽  
Vol 8 (19) ◽  
pp. 9739-9750 ◽  
Author(s):  
Tadhg Carroll ◽  
Phillipa K. Gillingham ◽  
Richard Stafford ◽  
James M. Bullock ◽  
Anita Diaz
Keyword(s):  
Environmental Change ◽  
Regression Models ◽  
Ellenberg Indicator Values ◽  
Indicator Values ◽  
Multilevel Regression

scholarly journals Root anatomy predicts ecological optima in Carex (Cyperaceae) in terms of Ellenberg indicator values

2021 ◽  
Vol 129 ◽  
pp. 107979
Author(s):  
Matthias H. Hoffmann ◽  
Sebastian Gebauer ◽  
Raoul Lühmann
Keyword(s):  
Root Anatomy ◽  
Ellenberg Indicator Values ◽  
Indicator Values

scholarly journals Online News and Protest Participation in a Political Context: Evidence from Self-Reported Cross-Sectional Data

2021 ◽  
Vol 7 (1) ◽  
pp. 205630512098445
Author(s):  
Nora Kirkizh ◽  
Olessia Koltsova
Keyword(s):  
Digital Media ◽  
Regression Models ◽  
Online News ◽  
Political Context ◽  
Government Control ◽  
Multilevel Regression ◽  
Traditional Media ◽  
Cross Sectional ◽  
Internet Media ◽  
The Relationship

Availability of alternative information through social media, in particular, and digital media, in general, is often said to induce social discontent, especially in states where traditional media are under government control. But does this relation really exist, and is it generalizable? This article explores the relationship between self-reported online news consumption and protest participation across 48 nations in 2010–2014. Based on multilevel regression models and simulations, the analysis provides evidence that those respondents who reported that they had attended a protest at least once read news online daily or weekly. The study also shows that the magnitude of the effect varies depending on the political context: surprisingly, despite supposedly unlimited control of offline and online media, autocratic countries demonstrated higher effects of online news than transitional regimes, where the Internet media are relatively uninhibited.

scholarly journals Examining the Effects of the Sacramento Dockless E-Bike Share on Bicycling and Driving

2021 ◽  
Vol 13 (1) ◽  
pp. 368
Author(s):  
Dillon T. Fitch ◽  
Hossain Mohiuddin ◽  
Susan L. Handy
Keyword(s):  
Travel Behavior ◽  
Regression Models ◽  
Population Level ◽  
Panel Survey ◽  
Multilevel Regression ◽  
Combine Data ◽  
Cross Sectional ◽  
Individual Level ◽  
Before And After ◽  
Bike Share

One way cities are looking to promote bicycling is by providing publicly or privately operated bike-share services, which enable individuals to rent bicycles for one-way trips. Although many studies have examined the use of bike-share services, little is known about how these services influence individual-level travel behavior more generally. In this study, we examine the behavior of users and non-users of a dockless, electric-assisted bike-share service in the Sacramento region of California. This service, operated by Jump until suspended due to the coronavirus pandemic, was one of the largest of its kind in the U.S., and spanned three California cities: Sacramento, West Sacramento, and Davis. We combine data from a repeat cross-sectional before-and-after survey of residents and a longitudinal panel survey of bike-share users with the goal of examining how the service influenced individual-level bicycling and driving. Results from multilevel regression models suggest that the effect of bike-share on average bicycling and driving at the population level is likely small. However, our results indicate that people who have used-bike share are likely to have increased their bicycling because of bike-share.

scholarly journals Tendency and distribution indices for ordinal variables applied to Ellenberg indicator values

2013 ◽  
Vol 70 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Miguel Alvarez ◽  
Bodo Maria Mõseler ◽  
Cristina San Martín
Keyword(s):  
Ellenberg Indicator Values ◽  
Indicator Values ◽  
Ordinal Variables

scholarly journals Spatiotemporal droplet dispersion measurements demonstrate face masks reduce risks from singing: results from the COvid aNd FacEmaSkS Study (CONFESS)

2021 ◽  
Author(s):  
Kai Man Alexander Ho ◽  
Hywel Davies ◽  
Ruth Epstein ◽  
Paul Bassett ◽  
Aine Hogan ◽  
...  
Keyword(s):  
Regression Models ◽  
Sound Intensity ◽  
Face Mask ◽  
Multilevel Regression ◽  
Planar Imaging ◽  
Mean Velocity ◽  
Velocity Magnitude ◽  
Droplet Production ◽  
The Impact ◽  
Droplet Transmission

Background: COVID-19 has restricted singing in communal worship. We sought to understand variations in droplet transmission and the impact of wearing face masks. Methods: Using rapid laser planar imaging, we measured droplets while participants exhaled, said "hello" or "snake", sang a note or "Happy Birthday", with and without surgical face masks. We measured mean velocity magnitude (MVM), time averaged droplet number (TADN) and maximum droplet number (MDN). Multilevel regression models were used. Results: In 20 participants, sound intensity was 71 Decibels (dB) for speaking and 85 dB for singing (p<0.001). MVM was similar for all tasks with no clear hierarchy between vocal tasks or people and >85% reduction wearing face masks. Droplet transmission varied widely, particularly for singing. Masks decreased TADN by 99% (p<0.001) and MDN by 98% (p<0.001) for singing and 86-97% for other tasks. Masks reduced variance by up to 48%. When wearing a mask, neither singing task transmitted more droplets than exhaling. Conclusions: Wide variation exists for droplet production. This significantly reduced when wearing face masks. Singing during religious worship wearing a face mask appears as safe as exhaling or talking. This has implications for UK public health guidance during the COVID-19 pandemic.

scholarly journals Disparities in injury morbidity among young adults in the USA: individual and contextual determinants

2018 ◽  
Vol 72 (6) ◽  
pp. 458-464 ◽  
Author(s):  
Susanne Schmidt ◽  
P Johnelle Sparks
Keyword(s):  
Young Adults ◽  
Conceptual Framework ◽  
Regression Models ◽  
Injury Risk ◽  
College Graduates ◽  
Multilevel Models ◽  
Health Behaviours ◽  
Population Data ◽  
Multilevel Regression ◽  
Logistic Regression Models

BackgroundInjuries have been recognised as important public health concerns, particularly among adolescents and young adults. Few studies have examined injuries using a multilevel perspective that addresses individual socioeconomic status (SES) and health behaviours and local socioeconomic conditions in early adolescence. We offer a conceptual framework incorporating these various components.MethodsWe test our conceptual framework using population data from the National Longitudinal Study of Adolescent Health Wave 4 when respondents were young adults and linked them to contextual level data from when they were middle-schoolers. We use logistic and multilevel regression models to examine self-reported injury risk in young adults by sex (n=14 356).ResultsLogistic regression models showed that men were more likely to experience serious injuries than women (OR 1.75, P<0.0001), but SES and health behaviours operated differently by sex. In stratified models, men with lower education had consistently higher injury risk, while only women with some college had increased injury risk (OR 1.40, P=0.0089) than college graduates. Low household income (OR 1.54, P=0.0011) and unemployment (OR 1.50, P=0.0008) increased female injury risk, but was non-significant for men. Alcohol consumption increased injury risk for both sexes, while only female smokers had elevated injury risk (OR 1.38, P=0.0154). In multilevel models, significant county-level variation was only observed for women. Women living in disadvantaged neighbourhoods during adolescence had increased injury risk (OR 1.001, P<0.0001).ConclusionsThese findings highlight the importance of investigating mechanisms that link early-life contextual conditions to early adult SES and health behaviours and their linkage to injury risk, particularly for women.

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