Political history of the Serbian media in transition (2000-2006)

This study examines unique features of the media transformation in Serbia 2000-2006. How does reform of the media influence the process of transition from dictatorship to democracy? Do the media have any meaningful impact on tempo and character of change? My initial assumption (hypothesis) was that the media have significant influence and that their impact is considerable. Expectations that a new legal framework alone would automatically produce a democratic environment were wrong. This study demonstrates that the media cannot accelerate the transition process, nor bridge the gap in democratic culture, because the tempo and extent of the media reform is set by the political elite through political culture and institutions. Partially successful transformation of Radio Television Serbia into a public service broadcaster shows that mere introduction of regulatory models from mature democracies into a country without a democratic tradition does not guarantee desired results/outcomes. The role and impact of foreign actors in transformation of the Serbian media was different in comparison with Bosnia and Herzegovina, or Kosovo for example. In Serbia, as a sovereign country, the international actors were present in an advisory role, unlike in aforementioned UN protectorates, but were more actively involved than in other post-communist countries. Abundance of media outlets call for a new citizen - one who is more analytical and capable of putting together scattered pieces of information. Such a new citizen, fundamentally different from the old socialist subject, understands that even "gospel truths" are not absolute, and chooses own way how to engage in political life. There is no one grand theory of transition with prescribed steps and predicted outcomes that can accommodate different country experiences. Such a process is always local - reflecting political, cultural and ethnic features of the country in question. However, it seems certain that the changes in Serbia are irreversible

Split-ARCH

2000 Mathematics Subject Classification: 62M10We supplied the GARCH Zoo with the new model and introduce it in this paper. We named it Split-ARCH. It was empirically motivated by means of the real data set on soybean meal price on the Product exchange. Split-ARCH is the superstructure of the previously known models of GARCH type. We defined volatility exchange to follow sudden and great changes of the price, and volatility also. As far as the log returns of the price are defined as ... with the threshold c>0. Under the stationarity conditions and specified f, we discus the possibilities of estimating parameters in this paper also.Partly supported by grant 1834 MSEP Republic of Serbia

Robust minimum energy wireless routing for underwater acoustic communication networks

Marine robots are an increasingly attractive means for observing and monitoring the ocean, but underwater acoustic communications remain a major challenge. The channel exhibits long delay spreads with frequency-dependent attenuation; moreover, it is time-varying. We consider the minimum energy wireless transmission problem [MET], augmented by the practical condition that constraints on link power must be satisfied in probability. For this, we formulate the robust counterpart of the multicommodity mixed-integer linear programming (MILP) model from Haugland and Yuan [1], and derive scaled power levels that account for uncertainty. Our main result is that the deterministic formulation with these scaled power levels recovers exactly the optimal robust solution in the absence of correlations, and therefore allows for efficient solution via MILP. This approach achieves significant power improvements over heuristics, and naturally lends itself to vehicle networks.United States. Office of Naval Research (Grant N00014-09-1-0700

Catch-up growth in children with chronic kidney disease started on enteral feeding after 2 years of age

BACKGROUND: Enteral feeding by tube in chronic kidney disease (CKD) before 2 years of age improves growth. Whether it is effective after this age is unknown. We assessed whether height and weight SDS changed after tube feeding was started in children with CKD above 2 years of age. METHODS: Retrospective study of pre-transplant, pre-pubertal children (< 11 years) with CKD stages 2–5 started on nasogastric tube or gastrostomy feeds for the first time after age 2 years. Children were identified by searching dietetic records and the renal database. Children on growth hormone were excluded. Height, weight, and BMI were documented 1 year prior to and at the start of tube feeds, and after 1 and 2 years. Data collection ceased at transplantation. RESULTS: Fifty children (25 male) were included. The median (range) age at start of tube feeds was 5.6 (2.1–10.9) years. Sixteen children were dialysed (1 haemodialysis, 15 peritoneal dialysis); 34 predialysis patients had a median (range) eGFR of 22 (6–88) ml/min/1.73 m2. Overall height SDS (Ht SDS) improved from − 2.39 to − 2.27 at 1 year and − 2.18 after 2 years (p = 0.02). BMI SDS improved from − 0.72 to 0.23 after 1 year and was 0.09 after 2 years of enteral feeding (p < 0.0001). Height SDS improved more in children aged 2–6 years (− 2.13 to − 1.68, p = 0.03) and in children not on dialysis (− 2.33 to − 1.99, p = 0.002). CONCLUSIONS: Enteral tube feeding commenced after 2 years of age in prepubertal children with CKD improves height and weight SDS, with stability of BMI during the second year. Younger children and those not on dialysis had the greatest benefit

Medical data processing and analysis for remote health and activities monitoring

Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions