In the literature, the terms species richness and species diversity are sometimes used interchangeably. We suggest that at the very least, authors should define what they mean by either term. Of the many species diversity indices used in the literature, the Shannon Index is perhaps most commonly used. On some occasions it is called the Shannon–Wiener Index and on other occasions it is called the Shannon–Weaver Index. We suggest an explanation for this dual use of terms and in so doing we offer a tribute to the late Claude Shannon (who passed away on 24 February 2001).

An illustrated dichotomous key is provided for the identification of adults of the pseudoscorpion species found in the Czech Republic and Slovakia, based on morphological and morphometric characters. The pseudoscorpion fauna of Slovakia includes 51 species in 7 families, and that of the Czech Republic includes 38 species in 7 families. New country records are provided: Mundochthonius carpaticus Rafalski and Microbisium brevifemoratum (Ellingsen) in the Czech Republic and Microbisium suecicum Lohmander in Slovakia.

We studied the use of a supervised artificial neural network (ANN) model for semi-automated identification of 18 common European species of Thysanoptera from four genera: Aeolothrips Haliday (Aeolothripidae), Chirothrips Haliday, Dendrothrips Uzel, and Limothrips Haliday (all Thripidae). As input data, we entered 17 continuous morphometric and two qualitative two-state characters measured or determined on different parts of the thrips body (head, pronotum, forewing and ovipositor) and the sex. Our experimental data set included 498 thrips specimens. A relatively simple ANN architecture (multilayer perceptrons with a single hidden layer) enabled a 97% correct simultaneous identification of both males and females of all the 18 species in an independent test. This high reliability of classification is promising for a wider application of ANN in the practice of Thysanoptera identification.

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Theory suggests that reproductive success is positively associated with an individual's genetic quality. However, the association between physical attractiveness and reproductive success (i.e., number of offspring) in modern humans remains less clear. Here we examined associations between men's reproductive success and physical attractiveness from retrospective data obtained from married, divorced, and single samples of Slovakian men. As predicted, facially more attractive and taller men were more likely to engage in marriage. In turn, married men had higher reproductive success than single men. Even when men's marital status was considered, facially more attractive men had higher reproductive success than their less attractive counterparts. This supports the importance of physical attractiveness in sexual selection in modern humans.

Amphibians play an important role in the functioning of ecosystems and some of them inhabit human gardens where they can successfully reproduce. The decline of amphibian diversity worldwide suggests that people may play a crucial role in their survival. We conducted a cross-cultural study on high school students' tolerance of frogs in Chile, Slovakia, South Africa and Turkey (n = 655 high school students). We found that about 6 % of students reported active killing of frogs and 30 % reported moving frogs away from their home gardens. Pathogen disgust negatively correlated with frog tolerance suggesting that people who are more sensitive to pathogen conoting cues are less tolerant toward frogs. Tolerance of frogs in parents or other family members appears to significantly influence student tolerance of frogs. Females tended to show higher tolerance of frogs than males. This study highlights the importance of the emotion of disgust in human willingness to protect frogs from a cross-cultural perspective.

Abstract. Global problems of hunger and malnutrition induced us to introduce a new tool for semi-automated pest insect identification and monitoring: an artificial neural network system. Multilayer perceptrons, an artificial intelligence method, seem to be efficient for this purpose. We evaluated 101 European economically important thrips (Thysanoptera) species: extrapolation of the verification test data indicated 95% reliability at least for some taxa analysed. Mainly quantitative morphometric characters, such as head, clavus, wing, ovipositor length and width, formed the input variable computation set in a Trajan neural network simulator. The technique may be combined with digital image analysis.

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