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This paper presents the results of a study into the use of the texture parameters of barley kernel images in varietal classification. A total of more than 270 textures have been calculated from the surface of single kernels and bulk grain. The measurements were performed in four channels from a 24 bit image. The results were processed statistically by variable reduction and general discriminant analysis. Classification accuracy was more than 99%.
The aim of the paper is to present the studies on the riverbed erosion on the upper course of Raba river, located from km 81.829 to km 77.751, close to the Stróża gauging station located in km 80.600. This part of the river course is completely changed due to the Project concerning the extension of the Zakopianka road located close to the Raba river. The results of simulation of riverbed evolution before and after the Project carried out by two 1D models (RubarBE and Metoda) are analysed and discussed. The results of computation obtained by both models are verified by field observations carried out in 2001 (before the Project), and in 2009 year (after the Project). The trends of erosion and deposition correspond to the field observations for the dates before and after the Project. Another verification is possible to make for the Stróża cross-section, where observations of cross-sectional geometry and water stages have been carried out from 1900 year till now. The statistical model of riverbed erosion developed for Stróża also confirm the trends obtained there by 1D models.
The paper presents an analysis of the impact of the EU enlargement in 2004 on the agricultural output and incomes of the EU Member States. The main aim of the study is to test the significance of difference of reaction to enlargement in three distinct groups of members, namely the ‘old’ fifteen Member States, the ‘new’ ten Member States which accessed the EU on May 1st 2004, and the two ‘newest’ Member States, i.e. Romania and Bulgaria which accessed the EU on January 1st 2007. For the purpose of description of different countries behaviour a linear mixed model was applied.
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Resistance of bulk lathyrus to airflow

72%
The experiment was conducted to determine the airflow resistance of lathyrus. The raw material was brought from a university farm. Airflow resistances of three varieties of lathyrus (cv. NLK-40, Pratik and Ratan) were studied with a laboratory instrument at moisture content of 7.33 to 18.80, 6.75 to 18.30 and 7.90 to 19.40% (d.b.) for superficial air velocities ranging from 0.04 to 1.26, 0.04 to 1.40 and 0.04 to 1.48 m3 s-1 m-2 at bed depths of 0.2 to 0.6 m with bulk density ranging from 805 to 895, 795 to 875 and 770 to 850 kg m-3, respectively. The airflow resistance of lathyrus increased with increase in airflow rate, bulk density, bed depth and decreased with moisture content. Modified Shedd equation, Hukill and Ives equation and modified Erguns equation were examined for pressure drop prediction. Airflow resistance was accurately described by modified Shedd equation followed by Hukill and Ives equation and modified Erguns equation. The developed statistical model, comprising airflow rate, moisture content and bulk density, could fit the pressure drop data reasonably well.
In the paper there is demonstrated the impact of the selection of training sample on misclassification error for the case of a real database describing the food market. The methodological background is a decision tree algorithm as it is applied with different rules and parameters (e.g. varying stopping rules and sample sizes). The goodness of the model fit is analysed.
The article describes applications and accuracy analyses of a statistical model of light absorption by phytoplankton that accounts for the influence of photo- and chromatic acclimation on its absorption properties. Part 1 of this work (seeWoźniak et al. 2000, this volume) describes the mathematical apparatus of the model. Earlier models by Woźniak & Ostrowska (1990) and by Bricaud et al. (1995, 1998) are analysed for comparison. Empirical verification of these three models shows that the new model provides a much better approximation of phytoplankton absorption properties than do the earlier models. The statistical errors in estimating the mean absorption coefficient apl, for example, are σ+ = 36% for the new model, whereas for the earlier models the figures are σ+ = 43% (Bricaud et al. 1995, 1998) and σ+ = 59% (Woźniak & Ostrowska 1990). Example applications are given of the new model illustrating the variability in phytoplankton absorption properties with depth and trophicity of the sea.
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Szacowanie cieplnych wlasciwosci gleby

58%
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