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EN
There are a number of various approaches to the development of yield predictive models in agriculture. One of the most popular ones is based on the yield modeling from the parameters of crop cultivation technology. However, there is another view on the yield prediction models, which is based on the use of life factors as yielding parameters. Our study is devoted to the comparison of a conventional technological approach to the yield prediction with a less prevalent approach of life factor based yield modeling. The testing of two approaches was performed by using the yielding data of sweet corn cultivated in the field trials under the drip-irrigated conditions of the Southern Ukraine, under the different technological treatments, viz. plowing depth, nutrition, and crop density. We developed two multiple linear regression models to compare their efficiency in the yielding predictions. One of the models used cultivation technology parameters as the inputs while the other used life factors as the inputs. Life factors were expressed in numeric values by using the following converter: total water consumption of the crop was used as the factor of water, the total sum of positive temperatures was used as the factor of heat, and the total sum of the main nutrients (NPK) available in the soil was used as the factor of nutrition. The results of the study proved an equal accuracy and reliability of the studied models of sweet corn yields, which is obvious from the values of RSQ. RSQ of the both studied regression models was 0.897. However, additional check of the modeling approaches applied in the feed-forward artificial neural network showed that the life factor based model with the RSQ value of 0.953 provided better yield predictions than the technologically based model with the RSQ value of 0.913. Therefore, we concluded that the life factor approach should be preferred to the technological approach in the development of yield predictive models for agriculture.
EN
The influence of selected factors on drying ceramic moulds applied in the investment casting technology was determined by the gravimetric method. Moulds produced of ceramic sands based on the new generation binders – colloidal silica, were investigated. It was found that each successive layer, of a similar thickness, is drying longer than the previous one. The drying time of layers forming closed spaces is several times longer as compared with drying open surfaces (external). Grain size of matrix used for moulds sprinkling has none significant influence on drying rates.
PL
Omówiono zagadnienia związane z rolą, jaką odgrywa stan redox w procesie topienia szkieł użytkowych. Przedstawiono pojęcie i najważniejsze reakcje redox zachodzące w trakcie topienia składników zestawu, omówiono także wpływ niektórych czynników na wartość potencjału redox. Szczególny nacisk położono na: wpływ składu chemicznego zestawu, skład atmosfery nad lustrem szkła, dodatek stłuczki szklanej oraz zanieczyszczeń organicznych w niej zawartych.
EN
There have been described problems connected with function of the redox-state in the melting process of the commercial glasses. Definition and the most important redox-reactions occurring during melting process of glass batch components have been presented as well as influence of some essential factors on the redox-potential values. Especially, attention has been devoted the problems connected with influence of such factors as chemical composition of glass batch, composition of gas atmosphere above the surface of the melt, application and organic contaminations of the cullet.
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