Článek prezentuje archeobotanické nálezy kultury pražského typu z území mezi řekami Dněprem a Dněstrem na Ukrajině. Nálezy ze čtyř lokalit (Velikaja Bugajevka, Kodyn I, Kodyn II, Luka Kavetčinskaja) byly analyzovány autorem, materiál z dalších dvou nalezišť (Raškov III and Tětěrevka I) zpracovala G. A. Paškevič. Statisticky hodnotitelné jsou nálezy jen ze čtyř lokalit; údaje z Bugajevky jen zajímavým způsobem dokreslují rituální praktiky v zacházení s obilovinami. Ze statistických šetření byly rovněž vynechány podsýpky prosa na dnech nádob, protože při tomto použití zřejmě šlo o záměrný výběr plodiny, nikoliv náhodný výskyt. Význam jednotlivých druhů obilovin je posuzován podle přepočtu na relativní hmotnost obilek. Z tohoto hlediska byl nejvýznamnější obilovinou ječmen, následovaný žitem a nahými pšenicemi; méně je zastoupena přenice dvouzrnka. Podíl prosa v hmotnostním indexu je stabilně desetina až šestina, velmi malá jsou zpravidla též množství ovsa. Shluková analýza potvrdila velkou podobnost skladby plodin mezi lokalitami. Zastoupení plevelů dokládá výsev jaří i ozimů. and Archaeobotanical data relating to the Prague-type culture from territories ranging from the Dnieper valley to that of the Dniester are introduced. Four sites were investigated by the author (Velikaya Bugayevka, Kodyn I, Kodyn II, Luka-Kavetchinskaya); materials from the sites Rashkov III and Teterevka I analysed by G. A. Pashkevich were also used for the investigation. Materials from Velikaya Bugayevka are only of interest for evaluation of the world-view of medieval Slavs and they are not used for statistical analysis. For the latter materials have been used from four sites. The bases of vessels with imprints of millet are also not used for statistical analysis, because grains of millet did not find their way into pottery vessels by chance. Analysis of grain production is carried out after recalculation of data relating to indices of mass: in first place is barley; then there follow rye and naked wheat varieties; the least stable indices are those for emmer wheat; the index for millet is between 1/10 and 1/6; the indices for oats are stable at a low level. Cluster analysis showed that there is a fairly high level of similarity with between the sites (ca. 90 %). The presence of weeds can testify to the use of old-arable fields and the presence of plants with different cycles would point to the use of both spring and winter sewing.
Data on divorces are gathered by the Czech Statistical Office and thus widely accessible and well known, but much less information is available about the stability of unmarried cohabitations. This paper focuses on the differences between marriage and unmarried cohabitations in terms of their stability. The authors study the impact of various factors on the stability of marriages and unmarried cohabitations taking into account the different socio -demographic indicators. To explain this phenomenon they use various theoretical approaches emphasizing different factors of partnership instability (from socializing factors to premarital cohabitation, values, education and gender, to factors based on the theory of rational choice). The analysis identified factors that operate in the same manner within both marriages and unmarried cohabitations (e.g. children in the partnership, experience with the previous partnership break-ups) as well as factors that play a different role in the stability of marriages and unmarried cohabitations (e.g. education, duration of partnership, generation). The paper is based on quantitative data from the survey ‘Life-course 2010’, which included 4010 respondents. The authors used the event history approach in their analysis which enabled them to track the dependences of the variables in time., Marta Vohlídalová, Hana Maříková., 1 graf, 1 tabulka, Poznámky na str. 14-15 (14), Biografické poznámky o autorkách článku na str. 15, Obsahuje bibliografii, and Resumé o klíčová slova anglicky na str. 3
The catologues of visual and eclipsing binaries have been analyzed by means of a mulivariate statistical method, with the purpose of putting into evidence mutual relations among the observed quantities as well as clustering properties in the mulri-dimensional space. Preliminary results of the analysis show several interesting feataures, and a physical interpretation can be attempted. Nevertheless, observational selection effects play an important role. The way back to the understanding of formation and evolutionary properties is extremely difficult, and unbiased conclusions about fundamental parameters as the initial period and mass ratio distributions cannot be obtained.