RESUMO
The article presents the results of analyses of numerical modelling of selected factors in electric arc furnace melts. The aim of the study was to optimise the melting process in an electric arc furnace using statistical-thermodynamic modelling based on, among other things, multiple linear regression (MLR). The article presents tools and methods which make it possible to identify the most significant indicators of the process carried out on the analysed unit from the point of view of improvement. The article presents the characteristics of the process and creation of the MLR model and, by applying its numerical analyses and results of calculations and simulations for selected variables and indicator, identifying the operation of a selected furnace. Developed model to demand of electric energy identification was used for calculations of energy balances, the distribution of the energy used in the furnace was presented.
RESUMO
In rheumatoid arthritis (RA) activity of serine proteases is an important factor contributing to destructive changes in the joints. The aim of this study was to compare elastase (ELANE) and cathepsin G (CTSG) mRNA levels in peripheral blood CD14(+) cells obtained from RA patients, healthy subjects (HS) and patients with osteoarthritis (OA). CD14(+) cells were isolated from peripheral blood by positive magnetic selection. The expression levels of ELANE and CTSG were determined by quantitative real-time PCR. ELANE mRNA expression was significantly higher in RA patients when compared to HS (p<0.001) and OA patients (p<0.001). The results suggest that in RA, peripheral blood CD14(+) cells express serine protease mRNA as a result of systemic mechanisms probably related to inflammation/cytokines before entering inflamed joints.
