Tryptophan Hydroxylase 1 Variant rs1800532 is Associated with Suicide Attempt in Serbian Psychiatric Patients but does not Moderate the Effect of Recent Stressful Life Events

Tryptophan hydroxylase 1 (TPH1) gene, coding for serotonin synthesizing enzyme, and recent stressful life events (SLEs) have been commonly associated with suicidal behavior. TPH1 has been also hypothesized to be involved in stress–response mechanisms. The aim of this study was to assess TPH1 variant rs1800532 and its possible interaction with recent SLEs as risk factors for suicide attempt (SA) in Serbian psychiatric patients, including 165 suicide attempters and 188 suicide nonattempters. rs1800532 and recent SLEs were independently associated with SA, while rs1800532 did not moderate the effect of recent SLEs on SA vulnerability among Serbian psychiatric patients.     

Can You Lie Without Intending to Deceive?

This article defends the view that liars need not intend to deceive. I present common objections to this view in detail and then propose a case of a liar who can lie but who cannot deceive in any relevant sense. I then modify this case to get a situation in which this person lies intending to tell his hearer the truth and he does this by way of getting the hearer to recognize his intention to tell the truth by lying. This case, and further cases that I develop from it, demonstrate that lying without the intention to deceive is possible.     

Relative importance of criteria: a quantitative approach

A mathematical definition for the assertion ‘a group of criteria A is more important than a group of criteria B’ is introduced. It is shown how quantitative information on relative importance of criteria allows us to obtain a more precise upper estimate for a set of all non-dominated solutions than the well-known Pareto set. © 1997 John Wiley & Sons, Ltd.     

No frills: Simple regularities in language can go a long way in the development of word knowledge

Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of these models raise the intriguing possibility that exposure to word use in language also shapes the word knowledge that children amass during development. However, this possibility is strongly challenged by the fact that models use language input and learning mechanisms that may be unavailable to children. Across three studies, we found that unrealistically complex input and learning mechanisms are unnecessary. Instead, simple regularities of word use in children's language input that they have the capacity to learn can foster knowledge about word meanings. Thus, exposure to language may play a simple but powerful role in children's growing word knowledge. A video abstract of this article can be viewed at https://youtu.be/dT83dmMffnM .

Research Highlights

• Natural Language Processing (NLP) models can learn that words are similar in meaning from higher-order statistical regularities of word use.
• Unlike NLP models, infants and children may primarily learn only simple co-occurrences between words.
• We show that infants' and children's language input is rich in simple co-occurrence that can support learning similarities in meaning between words.
• We find that simple co-occurrences can explain infants' and children's knowledge that words are similar in meaning.