Deep convolutional neural networks (DCNNs) are frequently described as the best current models of human and primate vision. An obvious challenge to this claim is the existence of adversarial images that fool DCNNs but are uninterpretable to humans. However, recent research has suggested that there may be similarities in how humans and DCNNs interpret these seemingly nonsense images. We reanalysed data from a high-profile paper and conducted five experiments controlling for different ways in which these images can be generated and selected. We show human-DCNN agreement is much weaker and more variable than previously reported, and that the weak agreement is contingent on the choice of adversarial images and the design of the experiment. Indeed, we find there are well-known methods of generating images for which humans show no agreement with DCNNs. We conclude that adversarial images still pose a challenge to theorists using DCNNs as models of human vision.Validation of the Short-Form-Health-Survey-12 (SF-12 Version 2.0) assessing health-related quality of life in a normative German sampleObjectives Convergent and divergent validation of the Short-Form-Health-Survey-12 assessing HRQoL by analyzing its associations with depressiveness (PHQ-9), social support (OSS-3) and satisfaction with life (SWLS). Methods A normative German sample (N = 2.524) was analyzed using correlation, regression as well as confirmatory factor analysis and structural equation modelling for ordinal data. Results The SF-12-scale Mental Health is associated most strongly with the validation criteria (PHQ r[scales/constructs] = -.73/-.88, OSS-3 r = .35/.55, SWLS r = .47/.62). Mental Health (β = .36) and Social Support (OSS-3; β = .25) allow to explain a significant amount of variance of the SWLS (R2 = .28). On construct level Emotional Role Functioning (β = .28) proved to be significant additionally. Conclusions The SF-12 scales are associated with the validation criteria as expected. The SF- 12 proved to be suitable for modelling core components of HRQoL within a biopsychosocial framework aiming at predicting satisfaction with life.Measurement invariance and normative data of the 8-item short form of the Center of Epidemiological Studies-Depression Scale (CES-D-8)Objectives Female gender is a risk factor for depression. It is questionable whether a given psychometric instrument depicts depressive symptom severity in men and women alike. Therefore, we examined measurement invariance of the Center of Epidemiological Studies Depression Scale-8 (CES-D-8) between women, men and different age groups. Additionally, we aimed providing normative data for CES-D-8. Methods We assessed depressive symptoms in a German population-based sample (N = 2,507) with the CES-D-8. Gender-distorted items were excluded in the short form. TNF-alpha inhibitor Results Using confirmatory factor analysis (CFA), we found good model fit for men, women and the overall sample. A multi-group CFA confirmed measurement invariance of CES-D-8 regarding the tested factors and their interaction. Gender- and age-group-specific norms were computed. Conclusion The use of the CES-D-8 can be recommended in epidemiological contexts, for practice and research. Different values between women and men of different age groups can be compared appropriately from a psychometric perspective.Objectives Addressing the lack of population-based data, the purpose of this representative study was to assess sex- and age-specific associations of maternal and paternal rearing behavior with depressiveness and anxiety controlling for sociodemographic and somatic variables. Methods 8,175 subjects participating in a population-based study completed standardized questionnaires measuring Recalled Parental Rearing Behavior and distress. Results Women recalled their fathers as more controlling and warmer, and their mothers as more rejecting than men. Comparisons between age groups (≤ 60 vs. > 60 years) revealed that younger participants recalled more parental control and emotional warmth. In addition to sociodemographic and somatic risk factors, paternal rejection and maternal control were associated with depressiveness and anxiety both for women and men (OR 1.58-1.96; OR 1.37-1.66). Maternal warmth was negatively related to distress (OR 0.66-0.69). Conclusions Findings suggested sex- and age-specific differences in recalled maternal and paternal rearing behavior. The current results highlighted the important role of recalled parental rearing behavior besides sociodemographic factors and somatic diseases for the occurrence of depression and anxiety symptoms across the age groups.Objectives The study examines body image of male cancer patients and their female partners as well as factors influencing body image. Methods N = 73 heterosexual couples in which the male partner was diagnosed with prostate (PC; n = 52) or laryngeal cancer (LC; n = 21) completed questionnaires on body image acceptance (Self Image Scale), relationship satisfaction (Quality of Marriage Questionnaire), and cancer-related distress (Questionnaire on Stress in Cancer Patients). The body image was assessed from two perspectives self-acceptance (which measures a person’s satisfaction or acceptance of the body) and partner-acceptance (which assesses a person’s perception of the partners’ appraisals of the body). Results No differences occurred in body image acceptance between men with PC or LC. Patients with PC rated the perceived partner-acceptance lower than did their female partners. In couples with LC, women rated the self-acceptance of their partners higher than did the patients themselves. Multiple regression analysis revealed that for survivors of PC, cancer-related distress, relationship satisfaction and partner-acceptance emerged as significant predictors of self-acceptance. The only significant predictor of partner-acceptance was men’s self-acceptance. Conclusions The dissatisfaction with physical appearance is found in PK and LK patients and seems to persist for a long time. Impairment of patients’ body image should be identified and addressed to prevent the negative effects on psychosocial stress for patients and relationship satisfaction.