Pearson Correlations between Variables at the Individual (below the diagonal) and Occupational Levels (above the diagonal).

<p><i>Note. N = </i>76,563 individuals in <i>K = </i>195 occupations.</p><p>Age is indicated in years. Gender: 0 = female, 1 = male. Depression diagnosis: yes = 1; no = 0. The reliabilities (i.e., the α coefficients) of the scales are italicized in the diagonal where applicable. *p<.05. **p<.01. ***p<.001.</p

Results of Cross-Level Analyses to Predict Depression Diagnoses in Full-Time Employees.

<p><i>Note.</i> Occupations were included if <i>n</i>>10. The largest group included <i>n</i> = 8,740 individuals. <i>OR</i> = odds ratio; values below 1 indicate reduced, and values above 1 indicate increased depression diagnoses. 95% Confidence Intervals (CI) indicate the significance of these analyses if 1 is excluded (OR) or if 0 is excluded (Estimates in the random effects part of the table).</p

Means and standard deviations of study variables.

<p>Note. Initial sample <i>N = </i>187,936 individuals. Dropped sample <i>N = </i>111,373 individuals. Final sample <i>N = </i>76,563 individuals in <i>K = </i>195 occupations. Age is indicated in years. Variables 2 to 12 are dichotomous, and mean values represent proportions. Gender: 0 = female, 1 = male. Depression diagnosis: yes = 1, no = 0.</p

Cross-Level Interaction Plot of Gender and the Occupations’ Interactions with the Public.

<p>Cross-Level Interaction Plot of Gender and the Occupations’ Interactions with the Public.</p

Interpretation of the interaction finding in a demand-resource-congruence framework.

<p><i>Note.</i>^a<i>K = </i>197 occupations in the dataset. These were ranked according to amount of interaction with the public; low/high numbers indicate low/high interaction with the public. As an illustration, we additionally indicate the amount of conflictual contact in an occupation if it is especially high (*) or low (⁺).</p

MOESM1 of Focal colorectal uptake in 18FDG-PET/CT: maximum standard uptake value as a trigger in a semi-automated screening setting

Additional file 1: Table S1. Demographic Data of Patients with Colorectal Cancer (n=54)

Density of capsule contracture tissue samples (y-axis, %) after incubation with different doses of collagenase (x-axis, mg/ml).

<p>Brackets indicate statistically significant differences (p<0.05).</p

Thickness of capsule contracture tissue samples (y-axis, mm) after incubation with different doses of collagenase (x-axis, mg/ml) in correlation to capsule density (<20%, black and 20–40%, white).

<p>Thickness of capsule contracture tissue samples (y-axis, mm) after incubation with different doses of collagenase (x-axis, mg/ml) in correlation to capsule density (<20%, black and 20–40%, white).</p

Efficacy and Safety of the Collagenase of the Bacterium Clostridium Histolyticum for the Treatment of Capsular Contracture after Silicone Implants: Ex-Vivo Study on Human Tissue - Fig 6

<p>Example pictures of Picro Sirius red staining under light microscopy, circularly polarized light microscopy and immunohistochemistry staining for collagen 2 and 4 (from top to bottom) of capsule contracture tissue after incubation with 0.0, 0.3, 0.9, and 1.8mg/ml of collagenase (from left to right). After collagenase incubation only collagen 4 is detectable in immunohistology all other collagen subtypes were successfully digested.</p

Example pictures of picrosirius red staining under polarized light of both study groups on day 60.

<p>Example pictures of picrosirius red staining under polarized light of both study groups on day 60.</p