Cardiac autonomic reactivity and recovery in predicting carotid atherosclerosis: the cardiovascular risk in young Finns study.

The present study examined the association of cardiac autonomic task-induced reactivity and recovery to preclinical atherosclerosis. Thirty-three men and 33 women aged 24-39 years participated in the ongoing epidemiological Cardiovascular Risk in Young Finns study. The authors measured heart rate (HR), respiratory sinus arrhythmia (RSA), and preejection period (PEP) during the mental arithmetic and speech tasks in 1999. Carotid atherosclerosis was assessed by measuring the thickness of the common carotid artery intima-media complex (IMT) with ultrasound in 2001. Higher HR, RSA, and PEP reactivity were associated with lower IMT values even after adjusting for cardiovascular risk factors (lipid levels, obesity, and blood pressure). In addition, better HR recovery after the mental arithmetic task was associated with lower IMT values, and this association persisted after all adjustments. Thus, higher task-induced cardiac autonomic reactivity and better HR recovery were related to less preclinical atherosclerosis. The authors concluded that cardiac pattern of reactivity and quick recovery may be associated with better cardiovascular health, and therefore all reactivity occurring in challenging situations should not automatically be considered as potentially pathological.     

Creators and Presses: The Person–Situation Interaction in Negative Creativity

Given the recent emphasis on exploring valence in creative behavior, this study examines negative creativity via a person–situation interactionist perspective. By manipulating goal valence (uses or misuses) and object valence (positive or negative), four conditions of an adapted Divergent Thinking task were used to predict positive and negative creativity. Participants (N = 178, 103 females, M_age = 23.82, SD = 4.03, range: 18–38) responded to a single condition along with the Big Five and Dark Triad personality scales in a between-groups design. Hierarchical multiple regressions revealed that goal and object valence significantly explained variance in valences of creative responses, beyond individual differences of personality. Furthermore, the congruence between goal and object valence predicted valenced creativity; that is, the positive objects and goals condition yielded more positive-original ideas, and the negative objects and goals condition yielded more negative-original ones. Object valence alone (material presses) did not contribute significantly to explaining valenced creativity. Negative-original responses were inversely related to conscientiousness, and directly to intellect/imagination and secondary psychopathy. Thus, negative creativity was attributed relatively more to person as compared to situation variables. Results are discussed from a valence-based and interactionist perspective.     

Can Money Buy Happiness? Evidence for European Countries

This research comes to empirical investigate the influence of income on the level of happiness. Can money buy happiness? It’s one of the most frequently disputed and researched questions of all time. At first sight, it seems easy to assign a simple answer: yes or no, but the correct answer is more difficult than these. We start from the assumption that people need to be happy but also need financial resources to feel safe. We used a panel analysis on a sample of 26 European countries over the period 2008–2016. We found that happiness increases with individual income until a threshold of 27,913 Euro per year (rounded to 35,000 USD) in European countries. Also, we found that culture plays an essential role in the perception of happiness. Moreover, our results indicate that a lower power distance, a high individualism, a low level of uncertainty avoidance and a high indulgence statistically increase the level of happiness.

     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

Disentangling the far transfer of language comprehension gains using latent mediation models

While we know that interventions targeting oral language can be effective, little is known about what drives these effects. In this study, we examine whether gains in transfer measures are mediated through the specific words that are trained in a language intervention. Based on a large‐scale randomized controlled trial of language intervention in 4‐ to 5‐year‐old children, latent mediation models were used to disentangle oral language gains in transfer measures. The results first showed that the effects of the language intervention and the transfer effects are generated through expressive rather than receptive measures of language. Second, we found that the effects of the intervention on intermediate transfer measures of language were mediated through the ability to define the trained words. Third, and critically, for far transfer measures that did not contain any of the trained words, the effects were mediated through the trained words. The findings relate to theories of transfer and support the idea that far transfer is possible, at least within the same domain. In addition, it seems that effects on receptive language skills are difficult to obtain and that what is improved is instead the children's ability to express themselves and use procedures to explain words. Thus, to optimize intervention effects, future studies should focus on expressive language.