The process of gluconeogenesis in ruminants is under the direct influence of insulin and glucocorticoid hormones. The goal of this study was to determine the effects of added Napropionate on the neuroendocrine regulation of blood glucose in calves at three specific physiological periods: on exclusive milk nutrition; on mixed milk and forage nutrition; and with established ruminant digestion. The influence of Na-propionate on blood glucose, insulin and cortisol concentrations was examined in the same 20 female Holstein calves at different stages of forestomach development (15 days, 2 months, and 4 months of age of calves). Group 1 of calves (n = 10) received Na-propionate intravenously; group 2 (n = 10) received Na-propionate mixed in milk. Blood sampling was performed 1 and 3 h after Na-propionate administration. After i.v. administration of Na-propionate, a significant increase (P < 0.05) in blood glucose concentration was observed 1 h after administration only in calves aged 2 and 4 months; blood insulin concentration was significantly higher (P < 0.01) 1 and 3 h after i.v. administration in 2-month-old calves; and cortisol concentration increased (P < 0.01) 1 h after administration in each selected calf in all testing periods. Orally administered Na-propionate led to a significant increase (P < 0.01) of insulin concentration 1 and 3 h after administration in 15-day-old calves, and 3 h after administration in 2-month-old calves. Based on these results it could be assumed that i.v. and p.o. administration of Na-propionate affects the neuroendocrine regulation of glycaemia in calves of different age. Cattle, Na-propionate, neuroendocrine regulation, gluconeogenesis

Cattle breeding is a very important part of agricultural production in Bosnia and Herzegovina (B&H), and milk production has a vital place in cattle breeding production. From an economic point of view, milk production is interesting as it is a daily production which presupposes faster marketing, which accelerates capital movement in agriculture, which in turn enhances liquidity. This research uses analyses of the existing state in milk production. The collected data are processed and cost calculation has been designed which enables the analysis of economic indicators of 4 dairy farm production models in B&H. Based on the collected data on features and values of dairy farm production models in B&H an analysis of expert evaluation was conducted as input data for DEXi method. The aim of this paper is to ascertain the basic indicators of business success of 4 dairy farm production models in B&H. Production-ecological, economic and socio- political features of the mentioned dairy farm models were analyzed. Based on the used criteria a rate of dairy farm production models using DEXi method was conducted. The results of the research in this paper using DEXi method show that the best model for dairy farm is model number four, which includes 45 milk cows.

The rapid evolution of network services demands new paradigms for studying and designing networks. In order to understand the underlying mechanisms that provide network functions, we propose a framework which enables the functional analysis of telecommunication networks. This framework allows us to isolate and analyse a network function as a complex system. We propose functional topologies to visualise the relationships between system entities and enable the systematic study of interactions between them. We also define a complexity metric $C_F$ (functional complexity) which quantifies the variety of structural patterns and roles of nodes in the topology. This complexity metric provides a wholly new approach to study the operation of telecommunication networks. We study the relationship between $C_F$ and different graph structures by analysing graph theory metrics in order to recognize complex organisations. $C_F$ is equal to zero for both a full mesh topology and a disconnected topology. We show that complexity is very high for a dense structure that shows high integration (shorter average path length and high average clustering coefficient). We make a connection between functional complexity, robustness and response to changes that may appear in the system configuration. We also make a connection between the implementation and the outcome of a network function which correlates the characteristics of the outcome with the complex relationships that underpin the functional structure.

Aim: CAM- ICU is instrument for brief delirium screening in the intensive care unit (ICU) for ventilated and non-ventilated patients. The aim of this study was to translate, validate and evaluate the applicability of this instrument in the Serbian speaking area. Methods: Translation of the CAM-ICU was made according to International Society for Pharmacoeconomics and Outcomes Research guidelines. In this prospective cohort study, CAM-ICU was applied to 301 adult surgical ICUs by two different raters. We tested CAM-ICU for interrater reliability by correlation between them. The scale was validated by comparison with the reference evaluation, wich was done by a psychiatrist using the Diagnostic and Statistical Manual of Mental Disorders V (DSM-V). Interrater agreement was measured using weighted kappa (k) and correlation used Spearman´s test. Results: The Spearman correlation coefficient was highly significant for rater 1 (r=0.672, p<0.001) and for rater 2 (r=0.625, p<0.001). The inter-rater reliability expressed by the kappa coefficient between rater 1 and rater 2 was highly significant (k= 0.859, 95% CI, 0.910-0.99, p<0.001). Conclusion: CAM- ICU, the first validated instrument for early detection of delirium in the Serbian speaking area, is reliable, valid and easily applied in daily clinical practice.