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.

Introduction Risk factor differences among offspring of patients with premature coronary heart disease (CHD) have not been widely studiem. Material and methods We examined 161 persons from the region of Banja Luka, including 81 children (mean age: 25.9 years, 45.7% female) with a history of CHD and a control group of 80 persons (mean age: 24.1, 50% female). Medical history interviews and risk factor measurements were performed. Results There were differences in mean body amss index (BMI) (26.1 kg/m2 vs. 23.1 kg/m2, p < 0.0001), waist circumference (87.7 cm vs. 83.9 cm, p = 0.002), hip circumference (99.3 cm vs. 95.84 cm, p < 0.002), systolic blood pressure (BP) (128.09 mm Hg vs. 122.7 mm Hg, p = 0.007), and diastolic BP (99.3 mm Hg vs. 95.8 mm Hg, p = 0.07). Moreover, HDL-cholesterol was significantly lower (1.1 mmol/l vs. 1.4 mmol/l, p = 0.0001), triglycerides significantly higher (2.2 mmol/l vs. 1.6 mmol/l, p = 0.001), and TC/HDL-ratio was significantly higher (5.1 vs. 4.0, p < 0.001) comparing cases and controls, respectively, adjusted for age, gender, and standard CHD risk factors total cholesterol, LDL and HDL cholesterol, smoking, systolic and diastolic BP, and BMI, those with HDL-C > 1.0 mmol/l in men and 1.2 mmol/l in women had a reduced odds (OR = 0.08, 95% CI: 0.02–0.34 of CHD as well as those with change of fat type (OR = 0.26, 95% CI: 0.11–0.60). Conclusions Children of parents with premature CHD have a significantly greater burden of CHD risk factors, with low HDL-C, in particular, being associated with an increased likelihood of being a child of a parent with premature CHD.