Different mechanisms underlie implicit visual statistical learning in honey bees and humans.

The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans' higher cognitive functions. Yet it is an open question whether there is any fundamental difference in how humans and other good visual learner species naturally encode aspects of novel visual scenes. Using the same modified visual statistical learning paradigm and multielement stimuli, we investigated how human adults and honey bees (Apis mellifera) encode spontaneously, without dedicated training, various statistical properties of novel visual scenes. We found that, similarly to humans, honey bees automatically develop a complex internal representation of their visual environment that evolves with accumulation of new evidence even without a targeted reinforcement. In particular, with more experience, they shift from being sensitive to statistics of only elemental features of the scenes to relying on co-occurrence frequencies of elements while losing their sensitivity to elemental frequencies, but they never encode automatically the predictivity of elements. In contrast, humans involuntarily develop an internal representation that includes single-element and co-occurrence statistics, as well as information about the predictivity between elements. Importantly, capturing human visual learning results requires a probabilistic chunk-learning model, whereas a simple fragment-based memory-trace model that counts occurrence summary statistics is sufficient to replicate honey bees' learning behavior. Thus, humans' sophisticated encoding of sensory stimuli that provides intrinsic sensitivity to predictive information might be one of the fundamental prerequisites of developing higher cognitive abilities.

Comparative analysis of the economic burdens of physical inactivity in Hungary between 2005 and 2017.

BACKGROUND: National economies are increasingly facing the challenge of having to finance the prevention and treatment of human diseases, and of having to compensate for the resulting loss of economic production. Physical inactivity is demonstrably closely related to the risk of developing certain disease group. Physical inactivity results in direct and indirect burdens that the present study intends to quantify in Hungary for the period between 2005 and 2017. METHODS: Based on the data of the Hungarian public finances, this study determines the direct and indirect costs incurred by Hungary due to illnesses, and, through the PAR method, it quantifies the financial burden of physical inactivity incurred by the Hungarian Treasury. RESULTS: The total financial burden of illnesses in Hungary showed a decreasing tendency from 2005 to 2017, even though the year 2017 saw an increase in costs compared to 2014. Similarly, while total public expenditure on illnesses associated with physical inactivity increased by 2017 when compared to 2009, the total amount attributable to medical conditions stemming from physical inactivity still showed a decrease of 2 billion HUF in the overall period. The biggest economic burden is posed by cardiovascular diseases, hypertension and type 2 diabetes. CONCLUSIONS: The increase in the economic burden associated with physical inactivity can be attributed to the combined effect of two factors: changes in total expenditure on specific disease groups (which showed an increase in the period under review) and changes in the physical activity levels of the Hungarian population (which showed an improvement over the period under review). Initiatives in Hungary aimed at encouraging an active lifestyle from childhood onwards should be continued since - beyond the initial impact that has already been felt to some extent in recent years - these initiatives will come to their full fruition in the coming decades.

Recent findings in the effectiveness testing of an interdisciplinary training program in mental health promotion.

Participants of the Hungarian training program in mental health promotion described in this paper are human services professionals (mainly education and health professionals, religious and social workers). The aims of the three-year graduate program include the development of students' professional expertise with a body of knowledge of mental health promotion on the individual, community and social levels and with a mental-health-promoting attitude. Testing the effectiveness of the program must measure a change in this attitude rather than an increase in academic knowledge. The instrument here presented is based on a case description, relevant to the students' occupation. Content analysis methods and a special scoring system can be employed in the interpretation and evaluation of the answers to the mostly open-ended questions. The longitudinal study presents a comparative analysis of the four occupational groups named above. In addition to results, the paper also discusses difficulties and suggestions for further research.

[Key issues in researching spirituality and religiosity in the light of the ASPIRES instrument (Assessment of Spirituality and Religious Sentiments) Developed by Ralph Piedmont]. / A spiritualitás és a vallásosság kutatásának kulcskérdései és a Piedmont-féle Spiritualitási és Vallási Erzület Méroskála.

Our article reviews the major questions raised by the psychological research of spirituality and religion, as well as the historical background of this research area. In our view the scientific exploration of spirituality and religion constitutes a process that allows for both empirical and hermeneutical approaches and as such it is open for a dialogue with other branches of social sciences. The most important topics addressed by the article include: 1. possible conceptualizations of the terms spirituality and religion; the connection between the two; similarities and differences; 2. the interpretation of spirituality as a dimension of the personality; 3. the question of measurement of spirituality and tools of its measurement; 4. the effects of spirituality; and 5. the culture relatedness of research data. Finally we demonstrate how the ASPIRES scale recently developed by R. Piedmont, its theoretical approach, development process, and empirical results try to answer these key questions.