In this paper for complex processes in the field of production mechanical engineering, that describes with the product of step and exponential functions, unknown parameters are calculated. The starting complex function is reduced by suitable method to linear form and then using Taylor's formula developed in series surrounding center point of the experiment. Mathematical model obtained without factors interaction was compared with a similar regression functions. After some mathematical transformations this model allows to determination unknown parameters in the starting function. To simplify the experimental determination of the coefficients of regression and to simplify the analysis, linear model of first order with interactions in coded form was used. Transformation to natural coordinates is performed by using adequate equations. Verification of the suggested method was performed using characteristic experiment in the field of metal deformation. For well-known law of resistance of metals at hot plastic deformation, as a function of influencing factors, all unknown parameters were determined in two ways: by comparing corresponding linear functions and using available derived models. The regression function of prior thermo mechanical process technology was determined experimentally using orthogonal multiple factor first order plan. Also, required statistical analysis and testing of this model were performed. With graphical interpretation of obtained results in logarithmic coordinates, well fittings models and experimental results were shown. Finally, some possibilities for practical application of the proposed methods and models in the field of production engineering, especially in the case of complex processes, were suggested. This method, compared to other methods used for solving setting problem, is faster, more efficient and more reliable.

compounds to oxidizing reduced inorganic compounds within the cave rocks. More importantly, the microbial diversity encountered was surprisingly high compared to what was expected given the amount and complexity of nutrients available in subterranean environments. This apparent violation of competitive exclusion or the ‘one species-one niche’ requirement (Hardin, 1960) led scientists to believe that within caves the selfish competition for resources is replaced by more cooperative and mutualistic microbial associations (Barton & Jurado, 2007). One eye-catching example of cave microbes are those found in Karstic and in lava caves which morphologically resemble white, yellow, grey, or pink bacterial colonies. Where present, these colonies can be observed throughout the cave as distinct one-millimetre INTRODUCTION

Introduction. The aim of this research was to investigate the presence and level of relationship of burnout dimensions with perceived general self-efficacy in relation to the length of service of nurses. Participants were nurse employees of a Cantonal Hospital „Dr.Irfan Ljubijankić” Bihać (N=102) who work directly with patients. Materials and Methods. Maslach burnout inventory MBI-HSS. was used to test burnout in the workplace. Generel self-efficacy was measured by a short version of the original general self-efficacy scale by Schwarzer et al. Conclusion. Research results indicate low level of burnout in the workplace with a tendency towards moderate. More specifically, moderate emotional exhaustion, low depersonalization and high personal accomplishment. Perecived self efficacy is associated with depersonalisation (rs= -0.26, p<0.05) and personal accopmlishment (rs =0.41, p<0.05), whilst intention to change profession is affected by perceived self efficacy, emotional exhaustion and personal accomplishment.