Kazimierz Wielki University in Bydgoszcz

About: Kazimierz Wielki University in Bydgoszcz is a education organization based out in Bydgoszcz, Poland. It is known for research contribution in the topics: Population & Luminescence. The organization has 1109 authors who have published 2923 publications receiving 19548 citations. The organization is also known as: Casimir the Great University & Uniwersytet Kazimierza Wielkiego w Bydgoszczy.

Mechanisms underlying spatial coding in a multiple-item Simon task.

Abstract: Choice responses are faster when target position and response side correspond than when they do not, even if target position is response-irrelevant. This Simon effect has also been observed in case of multi-item arrays. Generally, it is assumed that an automatically generated spatial response code is responsible for the effect. The referential-coding account assumes that this code is directly related to the target, although the moment of production of the code is not fully clear. The attention-shift account assumes that the code is directly related to the direction of the most recent attentional shift. An experiment was performed in which left or right target locations were indicated by arrows occurring before (precue), simultaneous with (simcue), or after (postcue) six-element arrays. Overt responses and EEG potentials were recorded. The Simon effect was present in all conditions, and decreased when responses were slower. No relation was found between amplitude of posterior lateralized components and the magnitude of the Simon effect. A posterior contralateral negativity was also found after presenting the arrays in the precue condition, which might reflect the reorienting of attention toward the target position. The results are more favorable to the referential-coding account although this account becomes very similar to the attention-shift hypothesis as the moment of formation of the spatial response code is related to effective target onset rather than to stimulus onset.

Phytic acid concentration in selected raw materials and analysis of its hydrolysis rate with the use of microbial phytases during the mashing process.

Abstract: Phytic acid present in the raw materials can complex with many compounds and therefore limit their availability to the yeast during the alcoholic fermentation process. An effective utilization of biogenic compounds bound in phytates requires a detailed analysis of the raw materials for their phytic acid content. The aim of this study was to characterize the major technological parameters for selected raw materials used in the distilling industry (maize, rye, wheat and triticale grain) and to determine the phytic acid content and the IP6/total phosphorus ratio. The phytic acid hydrolysis rate during the mashing process, with the use of microbial phytases, was analysed. The highest phytic acid concentrations (2.30 ± 0.20 mg/g dry matter) and the highest IP6/total P (80.42 ± 6.99%) were observed in the maize grain samples. Therefore, further studies on the phytic acid hydrolysis rate with the use of various phytases were conducted for the maize grain. The highest hydrolytic activity was observed for the Phytase 10000L preparation. This was the preparation that hydrolysed the phytic acid completely in up to 90 min. The application of a highly effective phytase, in ethanol production from maize grain, could lead to a more effective utilization of the biogenic compounds during the fermentation process. Copyright © 2015 The Institute of Brewing & Distilling

Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems

Abstract: The paper presents hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. The system includes neural networks. The models were created by use simple neural networks (linear network - L, multi-layer network with error backpropagation - MLP and Radial Basis Function network - RBF) and hybrid neural networks in the form of: L - MLP network, L - RBF network, MLP-RBF network and L - MLP - RBF network. Neural networks as classification models were used to selection of tool for manufacturing operation. Next models as forecasting models were used to forecasting of tool use in different time intervals for manufacturing operation. These models were used at the stage of constraint bases scheduling and preventing standstill due to lack of tools, and special tools in particular. The created models were tested on real data from an enterprise.

Hyperfine components of all rovibrational quadrupole transitions in the H2 and D2 molecules

Abstract: We report results of a theoretical investigation of hyperfine interactions in two homonuclear isotopologues of the hydrogen molecule: H2 and D2. We present a set of hyperfine coupling constants: spin-rotation, spin-spin dipole and, in the case of the D2 molecule, electric quadrupole coupling constants for all bound states of the two isotopologues in their ground electronic X 1 Σ g + state. We provide a list of positions and intensities of 220 997 hyperfine components of 16 079 rovibrational quadrupole transitions of the O, Q and S branches. The positions and intensities of the hyperfine components are necessary for a reliable interpretation of accurate measurements of rovibrational transition frequencies in H2 and D2, which are used for tests of the quantum electrodynamics of molecules and searches for new physics beyond the Standard Model.