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Background: The aim of this study was to assess the relationship between the number of steps a day and biological (body fat, lean body mass, BMI and estimated VO2 max) and psychological (self-efficacy, enjoyment of PA and self-perception of body image) factors in 16-18-year-old girls. Material/Methods: The study included data from 60 girls, aged 16-18. Voluntary participants were selected from a public high school in Poland. Number of steps was measured with a pedometer Yamax Digi-Walker, model SW 701, during 7 days. Girls were classified into three groups: low active, slightly active and active (5,000-7,499; 7,500-9,999; ≥ 10,000 steps/day, respectively). The levels of psychological factors were determined by means of a questionnaire survey. Estimated VO2 max was assessed by a 1-mile walk test. The percentage of body fat and lean body mass was evaluated using Bodystat 1,500, bio-impedance method. Results: Analysis of variance showed no statistically significant differences in the biological and psychological variables among low active, slightly active and active girls. Conclusions: Girls in the study performed approximately from 5,000 to 12,500 steps a day. To explain better relationships between daily step counts and psychological and biological variables future research should additionally involve girls with less than 5,000 steps a day and more than 12,500 steps a day.
An analytical approach was used to model the wave-induced set-up and flow through simple shoal geometry when water depth is a linear function of the distance. Two different approaches were applied to parameterize the energy dissipation due to wave breaking. The resulting set-up height and flow velocity were determined and their dependence on the geometry of the shoal and offshore forcing was demonstrated. The extension of the solution to a more complicated bathymetry and verification against the experimental data will be given in the second part of the paper.
Colour is traditionally one of the important appearance features of all fruit for consumers in deciding to buy them. Colour is therefore important in the postharvest supply chain. But where does that colour of fruit come from? Clearly the period of growing and the circumstances during growth are important for developing this im­portant feature. During several seasons (2007-2009), the skin colour of individual apples of dif­ferent cultivars ('Braeburn', 'Fuji', 'Gala', 'Golden Delicious') were measured using a Minolta CR-400 chromameter during the last 40-60 days before (commercial) har­vest. By including the biological variation between individual apples in the analyses and applying non linear indexed regression analysis based on process oriented mod­els, explained parts were obtained for the a*-value, all exceeding 90%. The estimated rate constants for the colouration process were remarkably similar for all cultivars (except 'Fuji') and growing conditions. That would indicate that the process of colouration is really reflecting the degradation of chlorophyll and not the production of red or yellow coloured blush (anthocyanins). The expected effect of growing conditions (fertilization and crop level, hail net or not, sunny side or shady side of the tree) did change the mechanism nor the kinetic parameter values but could all be attributed to the minimal obtainable skin colour (asymptotic values of the logis­tic model). This type of information from the production period may constitute an important link to postharvest supply chain management.
The aim of the present study was to determine changes in in the nature of plant communities and to determine general trends in environmental transformations along the middle Vistula valley during the last 25 years. The area studied encompasses part of the floodplain within the borders of Łomianki commune, a suburban district of Warsaw. The study was based on the analysis of two maps, one compiled by Solon in 1985, and the second by Matuszkiewicz and Kowalska in 2009. Both maps were based on field study, aerial photographs and topographical maps at a scale of 1:10000. The second map was prepared at the request of the municipality of Łomianki as part of the study titled The Landscape and Flora of Łomianki Commune. Cartographical analysis was carried using the ArcGIS 9.3 software package, which proved useful in comparing the vegetation of both time periods and identifying changes in plant communities while presenting these changes in cartographical form.
In Lower Silesia, three goldenrod species introduced from North America are found: Solidago gigantea Aiton (late goldenrod), S. canadensis L. (Canadian goldenrod) and S. graminifolia (L.) Elliott. (grass-leaved goldenrod). A native species is also found: Solidago virgaurea L. (common goldenrod). Distribution of these species was surveyed using sampling plots in a 10x10 km grid. The impact of increasing cover of goldenrods on biodiversity of patches of invaded vegetation was assessed. Biodiversity was described by the number of co-occurring vascular plant species inside 100 m2 plots placed in vegetation patches with goldenrods. The Shannon-Wiener diversity index was also calculated. The habitat preferences of particular Solidago species were examined. The most numerous goldenrod species in Lower Silesia were Solidago canadensis and S. gigantea, which were found in a similar number of plots. Distribution of thes two species were clumped in spatial scale of the whole study area. Solidago canadensis and S. gigantea do not differ with respect to their habitat preferences. The number of plant species as well as the Shannon-Wiener diversity index significantly decreased with increasing cover of S. canadensis and S. gigantea.
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