Global Scientific Outputs of Brain Death Publications and Evaluation According to the Religions of Countries

In 1950s, the concept of brain death, which began to be discussed primarily in terms of medicine and then in terms of religion, law, and ethics, became a central topic in all world countries as it was an early diagnosis of death. Despite the fact that brain death (BD) diagnosis is of importance for benefitting from organ and tissue transplantation of patients in the world, the literature still involves no bibliometric studies that made a holistic evaluation of the publications about this issue. The present study aims to investigate the top-cited articles about BD published between 1980 and 2018, identify the citation collaboration of the journals, demonstrate the collaboration between the countries, define the relationship between organ transplantation and BD, and reveal the latest developments and trend topics about this issue. In addition, this study aims to investigate the relationship between religions of countries and brain death publication productivity. Documents for bibliometric analysis were downloaded from Web of Science. The literature search was performed using the keywords “brain death/dead” during 1980–2018. The correlations between gross domestic product (GDP), Human Development Index (HDI) and publication productivity of the countries on BD were investigated with Spearman’s correlation coefficient. There was a high-level, statistically significant correlation between the number of publications and GDP, and HDI and the number of publications about BD (r = 0.761, p < 0.001; r = 0.703, p < 0.001). The USA was the top country in terms of publication productivity, which was followed by developed countries such as Germany, Japan, France, and Spain. However, the contribution of the undeveloped or developing countries such as China, Brazil, Turkey, Iran, and South Africa was found to be considerably important. While many people in the world die with undamaged organs, many other people die needing those organs. Therefore, it is considered that the collaborations and thus multidisciplinary studies about BD should be increased in the world countries, and the countries should be involved in bigger collaborations instead of little clusters. Especially, Muslim countries should be encouraged to do research and publish studies about the issues of brain death and organ transplantation.

     

A double-edged sword: How social diversity affects trust in representatives via perceived competence and warmth

Previous research has claimed that diversity erodes trust, even though the empirical evidence is mixed and restricted to ethnic neighborhood diversity. Against the backdrop of increasing diversity within the political sphere and concurrently declining political trust, we examined the impact of social diversity on trust in groups of political representatives. In two experiments (N₁ = 109, N₂ = 248) we tested how the diversity of political parties affected citizens’ trust in them. In line with predictions of the stereotype content model, diverse parties were perceived as warmer and less competent than non-diverse parties (Experiments 1–2). Additionally, party diversity was perceived as having more benefits, but also involving more threats (Experiment 2). Consequently, diversity had both positive (via warmth and benefits) and negative (via competence and threats) indirect effects on trust. These results help to untangle previously mixed, for the most part non-experimental, findings of the relationship between diversity and trust.     

Support for the Populist Radical Right: Between Uncertainty Avoidance and Risky Choice

The last several decades have witnessed a structural change in politics toward cultural and identity conflicts, accompanied by the rise of populist radical right (PRR) parties. However, we know surprisingly little about the psychological or cognitive-motivational factors underlying PRR support. We claim that uncertainty avoidance (UA)—an epistemic avoidance motivation—represents a central motive because UA resonates with the PRR platform and precedes common predictors of PRR voting. Using data from the 2017 Austrian National Election Study, we found that UA was indeed indirectly associated with a higher likelihood of PRR voting. This association is because greater UA fostered right-wing sociocultural views, whereas associations with populist attitudes or expected government competence were more ambiguous. PRR parties appear to offer “certainty,” but as extreme parties, they also remain a “risky choice.” We conclude by discussing the contribution of a cognitive-motivational account to explain PRR voting.     

Promoting the underestimated: A vignette study on the importance of the need for affiliation to successful leadership

Research on the relationship of implicit motives and effective leadership emphasises the importance of a socialised need for power, whereas high levels of the need for affiliation are assumed to thwart a leader’s success. In our study, we experimentally analysed the impact of leaders’ socialised need for power and their need for affiliation on perceptions of transformational leadership and various success indicators. Using paper-people vignettes, we contrasted leaders characterised by either motive with those concerned with personalised power or achievement. Results based on N?=?80 employees show that leaders high in socialised power were rated more successful and elicited more identification and organisational citizenship behaviour (OCB) in followers, and that in most cases this effect was mediated by perceptions of transformational leadership. For all outcomes but OCB, findings remained unchanged when affiliation-motivated leaders were considered. Exploratory analyses contrasting socialised power-motivated and affiliation-motivated leaders show that with regard to attitudinal outcomes affiliation-motivated leaders were, on average, as effective as socialised power-motivated ones.

     

The effects of gendered information in stories on preschool children’s development of gender stereotypes

Social-cognitive theory posits that children learn gender stereotypes through gendered information. The present study examined whether children learn new gender stereotypes from stories when unknown words are linked to a gendered protagonist or context information. In Experiment 1, 40 3- to 6-year-old preschoolers were read stories with either a gendered protagonist embedded within a non-gendered context, or a non-gendered protagonist embedded within a gendered context. In Experiment 2, the same sample of children were read stories with the protagonist and the context displaying congruent or incongruent gender information. Each story featured an unknown activity linked with the stereotypical content. Both experiments indicate that the children rated the activity according to both the gender of the context and of the protagonist; however, the effect of the latter was stronger. In addition, children showed higher interest in the unknown activity if the protagonist’s gender matched their own sex. Thus, gender information in stories influences how children perceive unknown words.     

Robots as Malevolent Moral Agents: Harmful Behavior Results in Dehumanization,Not Anthropomorphism

A robot's decision to harm a person is sometimes considered to be the ultimate proof of it gaining a human-like mind. Here, we contrasted predictions about attribution of mental capacities from moral typecasting theory, with the denial of agency from dehumanization literature. Experiments 1 and 2 investigated mind perception for intentionally and accidentally harmful robotic agents based on text and image vignettes. Experiment 3 disambiguated agent intention (malevolent and benevolent), and additionally varied the type of agent (robotic and human) using short computer-generated animations. Harmful robotic agents were consistently imbued with mental states to a lower degree than benevolent agents, supporting the dehumanization account. Further results revealed that a human moral patient appeared to suffer less when depicted with a robotic agent than with another human. The findings suggest that future robots may become subject to human-like dehumanization mechanisms, which challenges the established beliefs about anthropomorphism in the domain of moral interactions.     

Indicators of Affect Dynamics: Structure,Reliability, and Personality Correlates

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split-half reliability based on indices from odd-numbered and even-numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns

For decades, day–night patterns in behaviour have been investigated by asking people about their sleep–wake timing, their diurnal activity patterns, and their sleep duration. We demonstrate that the increasing digitalization of lifestyle offers new possibilities for research to investigate day–night patterns and related traits with the help of behavioural data. Using smartphone sensing, we collected in vivo data from 597 participants across several weeks and extracted behavioural day–night pattern indicators. Using this data, we explored three popular research topics. First, we focused on individual differences in day–night patterns by investigating whether ‘morning larks’ and ‘night owls’ manifest in smartphone-sensed behavioural indicators. Second, we examined whether personality traits are related to day–night patterns. Finally, exploring social jetlag, we investigated whether traits and work weekly day–night behaviours influence day–night patterns on weekends. Our findings highlight that behavioural data play an essential role in understanding daily routines and their relations to personality traits. We discuss how psychological research can integrate new behavioural approaches to study personality.     

Correction to: Effects of reward magnitude and training frequency on the learning rates and memory retention of the Port Jackson shark Heterodontus portusjacksoni

Animal Cognition - In the original publication of the article, the Fig.&nbsp;4 was erroneously published.