Modelling bark thickness for Scots pine (Pinus sylvestris L.) and common oak (Quercus robur L.) with recurrent neural networks.

Variation of the bark depends on tree age, origin, geographic location, or site conditions like temperature and water availability. Most of these variables are characterized by very high variability but above of all are also affected by climate changes. This requires the construction of improved bark thickness models that take this complexity into account.

Some blood biochemical parameter values in a herd of American bison (Bison bison L.) from an experimental animal farm in Poland.

The blood samples of 17 bison (7 cows, a heifer, a young bull and 8 calves) formed the basis for conducting analyses of blood plasma. The measurements were carried out by using ionoselective electrodes aided by a Hitachi 917 biochemical analyser. An interpretation of the results was possible due to comparison with the results of similar analyses completed in the United States.