Closeness measures are crucial to clustering methods. In most traditional clustering methods, the closeness between data points or clusters is measured by the geometric distance alone. These metrics quantify the closeness only based on the concerned data points' positions in the feature space, and they might cause problems when dealing with clustering tasks having arbitrary clusters shapes and ...

Religiosity and participation in religious activities have been linked with decreased risky behavior. In the current research, we hypothesized that exposure to the concept of God can actually increase people's willingness to engage in certain types of risks. Across seven studies, reminders of God increased risk taking in nonmoral domains. This effect was mediated by the perceived danger of a ri...

Anthropomorphism is a default strategy for making the unfamiliar familiar, but is it a uniform strategy? Do all dimensions of anthropomorphism “hang together”? We explored this question by involving adults (n = 99) in a speeded property-attribution task in which they decided, as quickly as possible, whether properties of two types— psychological and physiological—could be attributed to God. Par...

We test whether two sequences are generated by the same distribution or by two different ones. Unlike previous work, we make no assumptions on the distributions’ support size. Additionally, we compare our performance to that of the best possible test. We describe an efficiently-computable algorithm based on pattern maximum likelihood that is near optimal whenever the best possible error probabi...

BACKGROUND The topos of the Compassionate God is a dominant motive of the Jewish and Christian traditions. It is relevant for nursing because it asks the nurse to imitate God so as to become God-like. Also, to think that God suffers with the suffering believers is thought to give comfort to them. Because in the western world the topos of the Compassionate God represents the basis of the ethics ...

The present study examined how the network science measure known as closeness centrality (which measures the average distance between a node and all other nodes in the network) influences lexical processing. In the mental lexicon, a word such as CAN has high closeness centrality, because it is close to many other words in the lexicon. Whereas, a word such as CURE has low closeness centrality be...