Community managed primary collection of solid waste

Community managed primary collection of solid wast

Cluster analysis of the 50 most abundant fungal operational taxonomic units (OTUs) in the rhizosphere and roots of two strawberry cultivars, Honeoye and Florence, grown in conventionally or organically managed soils or a peat based growth substrate, with and without <i>Verticillium dahliae</i>.

<p>These OTUs constituted 90% of the total reads in roots and 70% of the reads in rhizosphere soil. The clustering is based on paired group linkage using the Bray-Curtis similarity measure. Only OTUs with ≥95% identity are included.</p

Distribution of fungal operational taxonomic units (OTUs) between different fungal phyla in the rhizosphere (A) and roots (B) of different strawberry cultivars grown in conventionally or organically managed soils or a peat-based growth substrate with and without <i>Verticillium dahliae</i>.

<p>Only OTUs with ≥95% identity are included. Asterisks indicate statistical significance between control and <i>Verticillium dahliae</i> treatments within each soil (<i>* = p≤</i>0.05, ANOVA). Vertical bars represent mean values and error bars show ±1 SE (n = 3).</p

The top ten fungal operational taxonomic units (OTUs) (according to Similarity Percentage analysis) (SIMPER) contributing to the observed differences between control and <i>Verticillium dahliae</i> treatments in Honeoye and Florence grown in conventionally and organically managed soils.

<p>A) Rhizosphere soil (29–39%), B) Roots (61–74%).</p

Ranked abundance of the 30 most abundant fungal operational taxonomic units (OTUs) present in the rhizosphere and roots of two strawberry cultivars, Honeoye and Florence, grown in conventionally (A and B) and organically (C and D) managed field soils.

<p>Only OTUs with ≥95% identity are included.</p

Participants flow diagram.

In recent decades, attitudes towards appearance comparison, and self-disapproval have rapidly increased, and these are attitudes strongly associated with psychological disorders. The present study aims to investigate the underlying patterns of depression, appearance-based stress, dietary constraints, and social and celebrity appearance comparison among young adults. It also examines the role of self-compassion in moderating the relationship between psychological dysfunctions and appearance comparison as well as the criteria and influences contributing to appearance comparison. Data on BMI, the measures of depression, appearance-based stress, eating restraints, appearance comparison, self-compassion, and predictors of peers and celebrity appearance comparison were collected from 434 college students (Age: Mean = 22; SD = 2.36; Male = Female = 217) in Sialkot, Pakistan. The data was analyzed by using the Hierarchical Regression Model. The results revealed that respondents who compared their appearances to peers and celebrities had increased depression and appearance-based stress while eating constraints didn’t affect the appearance-based comparison, stress, and depression. Moreover, self-compassion significantly moderated the relationship between depression, appearance-based stress, and appearance comparison whereas an insignificant moderation effect is observed between eating restraints and self-compassion. Despite psychological distresses such as depression, appearance-based stress, and eating restraints, appearance comparisons are connected to appearance-based victimization, media appearance pressure, social-cultural appearance pressure, appearance conversation, and self-consciousness.</div

Results of three separate regression models each assessing the relationship of depression, appearance-based stress, and eating constraints with independent variables in the presence of self-compassion as a moderator.

Results of three separate regression models each assessing the relationship of depression, appearance-based stress, and eating constraints with independent variables in the presence of self-compassion as a moderator.</p

Moderation model illustrating indirect effect of self-compassion on the relationship between health issues and appearance comparison.

The numerical values represent correlation coefficients.</p

Regression models for examining the relationship of peer and celebrity appearance comparison.

Regression models for examining the relationship of peer and celebrity appearance comparison.</p

Theoretical framework of the second model: a) appearance comparison with peers and b) appearance comparison with celebrities.

The numerical values are correlation coefficients.</p