On cubic polyhedral graphs with prescribed adjacency properties of their faces

AbstractWe consider classes of cubic polyhedral graphs whose non-q-gonal faces are adjacent to q-gonal faces only. Structural properties of some classes of such graphs are described. For q = 5 we show that all the graphs in this class are cyclically 4-edge-connected. Some cyclically 4edge-connected and cyclically 5-edge-connected non-Hamiltonian members from this class are presented

Role of e-business in the perception of ICT impact on revenue growth

Perceived gain from the use of e-business information and communication technologies (ICT) represents the main driver that motivates companies to implement them. The study focuses on the perception of e-business ICT applications within companies. On the sample of 11,072 companies from 27 EU states, we have determined which of e-business ICT application the companies use and how they perceive the impact of ICT on their revenue growth. An ordinal regression and decision tree analysis have been used to identify a portfolio of e-business ICT applications. We have also proposed three hypotheses to test whether the perceived impact of ICT is influenced by the number of implemented e-business ICT applications, or by the number of procurement-orientated e- business ICT applications, or even by the number of sales-orientated ones. The research not only helps practitioners to recognize which tools are behind the positive perception regarding the impact of ICT on revenue growth, but it tries to answer the question of whether the quantity of implemented applications really improves the acknowledged influence of ICT on revenue growth

Industrially processed oilseed rape in the production of table eggs

The purpose of this study was to investigate the effectiveness of feed mixtures with varying proportions of rape cakes to the weight of table eggs, its components, thickness and strength of egg shell. The eggs were from the final laying hybrid ISA Brown reared in the enriched cage system under experimental conditions. An age of laying hens was from 48 to 54 weeks. Egg weight and its components were measured on scales type KERN 440-35N, with an accuracy of 0.01 g and a maximum weight of 400 g. Egg white weight was calculated. The thickness and strength of the egg shell were measured from the dried samples at 55 °C. From each egg shell were cut 3 pcs of samples in the equatorial plane, one sample from the blunt end and one sample from the sharp end. Egg shell thickness was measured by test instrument SOME, type 60/0.01mm with a range of 0 - 10 mm. Egg shell strength was measured according to test instrument Instron with the small body, having a diameter 4.48 mm to exert pressure on the egg shell. The obtained data were assessed in the program system SAS, version 8.2. Based on the results observed in egg weight of our experiment we can conclude that in the group with share 5% of rape cakes was non-statistically significant (p >0.05) decreased egg weight compared to the control group. Egg weight was reduced in the group with share 10% of rape cakes, which confirmed a statistically significant difference compared to egg weight of control group (p Ë‚0.05). The differences among experimental groups with share 5% and 10% of rape cakes in feed mixture and as well as to control group were not statistically significant (p >0.05) in weight of egg yolk, egg white, egg shell and egg shell strength. Egg shell thickness was no statistically significant (p >0.05) increased in experimental group with share 5% of rape cakes and decreased in experimental group with share 10% of rape cakes versus control group. Increase of egg shell thickness in experimental group with share 5% of rape cakes versus decrease in experimental group with share 10% of rape cakes was statistically significant (p <0.05)

Monitoring of process performance by means of financial indicators

The paper deals with problematic nature of measuring of process performance. It includes a designed procedure of process performance monitoring, evaluation of logistic processes quality, and also measuring of the impact of marketing activities on the profitability of process output, i.e. a product, by means of appropriate indicator.There are several performance indicators that companies use to monitor the performance of their processes and business strategies with respect to their objectives. To monitor these indicators, enterprises rely on dashboards that present one or more indicators along with contextual information to help decision makers identify deviations and their root causes. Associated benefits related to the process performance measurement system can be seen, for example, in better decision-making, flexible human resource management and process management structures. By using rolled steel sheets in a large metallurgical plant as an example, there will be shown how the performance of the rolling process can be improved by monitoring the tangible financial indicator. Subsequently, the experience was from case management companies presented to further incorporate a practical view of implementation and related issues. Finally, the reasons why the organization prefers the observed indicator during implementation of the process performance of measurement system is explored in order to understand the causes and consequences

Influence of domain walls thickness, density and alignment on Barkhausen noise emission in low alloyed steels

This study deals with the characterization of low alloyed steels of diferent yield strengths (varying in the range of 235–1100 MPa) via Barkhausen noise emission. The study investigates the potential of this technique to distinguish among the low alloyed steels and all signifcant aspects contributing to Barkhausen noise, such as the residual stress state, microstructure expressed in terms of dislocation density, grain size, prevailing phase, as well as associated aspects of the domain wall substructure (domain wall thickness, energy, their spacing and density in the matrix). Barkhausen noise in the rolling as well as transversal direction grows along with the yield strength (up to 500 MPa) and the corresponding grain refnement of ferrite. As soon as the martensite transformation occurs in a high strength matrix, this evolution saturates, and remarkable magnetic anisotropy is developed when Barkhausen noise in the transversal direction grows at the expense of the rolling direction. The contribution of residual stresses as well as the domain wall thickness is only minor, and the evolution of Barkhausen noise is driven by the density of the domain walls and their realignment.Web of Science131art. no. 568

RESEARCH OF LIMITED AND UNLIMITED EMISSION EFFECT ON THE ENVIRONMENT DURING THE BURNING OF ALTERNATIVE FUELS IN AGRICULTURAL TRACTORS

This work is aimed at the basic analysis of diesel oil and rapeseed methyl ester and evaluation of limited and unlimited emission produced by their combustion. Thereafter, test results are compared, and there is also done the evaluation of emission – greenhouse gases, dangerous exhaust gases and strong carcinogens and their contents during fuel combustion. These measurements were performed at the Research Station Agroscope ART in Tänikon (AAT) in Switzerland and in cooperation with the Department of Transport and Handling (DTH), Faculty of Engineering, Slovak University of Agriculture in Nitra

Improving Quality of Long-Term Bond Price Prediction Using Artificial Neural Networks

Purpose: The aim of this paper is to propose nonlinear autoregressive neural network which can improve quality of bond price forecasting.         Methodology/Approach: Due to the complex nature of market information that influence bonds, artificial intelligence could be accurate, robust and fast choice of bond price prediction method. Findings: Our results have reached a coefficient of determination higher than 95% in the training, validation and testing sets. Moreover, we proposed the nonlinear autoregressive network with external inputs using 50 year interest-rate swaps denominated in EUR and volatility index VIX as two external variables. Research Limitation/Implication: Our sample of daily prices between 4th January 2016 and 13th January 2021 (totally 1,270 trading days) suggest that both Levenberg-Marquardt and Scaled conjugate gradient learning algorithms achieved excellent results. Originality/Value of paper: Despite the fact that both learning algorithms achieved satisfying outcomes, implementation of an independent variable into the autoregressive neural network environment had no significant impact on prediction ability of the model

Simple 3-polytopal graphs with edges of only two types and shortness coefficients

AbstractWe consider two classes of simple 3-polytopal graphs whose edges are incident with either two 5-gons or a 5-gon and q-gon (q = 26 or 27). We show that the shortness coefficient is less than 1 for both of these classes