Impact of Aircraft Noise on Communities Near Belgrade Airport

The aim of this research was to examine the impact of aircraft noise on communities near the Belgrade Airport by conducting short-term noise measurements. Apart from the noise abatement procedure published in the Aeronautical Information Publication for Belgrade Airport, there are still neither publicly available reports of the actual efforts made towards the aircraft noise reduction nor the description of the current noise situation. In order to estimate the current noise situation, eighteen aircraft overflight noise measurements were taken in two settlements in specific sound-sensitive community areas around the Belgrade Airport. The results showed that level differences between background noise and aircraft overflights were higher than 10 dB for each measurement and could be considered significant. Furthermore, preliminary compatibility analysis with acoustic zoning was performed. Average daily noise levels were estimated from these short-term measurements and were compared to legal noise limits for different acoustic zones. The results indicate that in some cases noise levels exceed the legal threshold, which should encourage land use planners to include the issue of Belgrade acoustic zoning on the agenda, but also prompt Belgrade Airport to implement continuous noise and flight tracks monitoring

Sensitivity of OHCA recognition in the emergency dispatch center of Subotica

Introduction: Dispatch centre plays the key role, as the first link in the survival chain by recognizing an out-of-hospital cardiac arrest (OHCA), good triage and accordingly, by the adequate response time of the emergency medical team. The aim of the work: analysis of the sensitivity of sudden cardiac arrest calls received at dispatch centre by the dispatcher of the Emergency Medical Service Subotica. Method: Retrospective analysis of the call receiving protocols and comparison with the medical protocols of the Emergency Medical Service (EMS) Subotica, for the period from January 1st, 2016 till December 31st, 2016. Results: The total number of calls received for medical teams was 10,172,during 2016 in the EMS Subotica. In the observed period, 116 OHCA (1.14% of total calls) were confirmed by medical teams, on the field, while CPR was initiated in 110 cases (1,08% ). 68 cases of OHCA were recognized at receiving the calls by the dispatcher, that were issued as the first order of emergency, 48 OHCA were not recognized at calls, however, 16 (16/48) of the calls were issued as the first order of emergency, while the other 32 (32/48) were the second order of emergency. The Sensitivity of calls of recognizing OHCA was 58,62 - 71,41%. No results were obtained for specificity, due to the lack of data in the records. Conclusion : Dispatch centre is the most important link in the chain of care for critically ill patients. There is a need for a unique way of documenting data. Recognition of OHCA by the dispatcher should become a parameter of the measure for the quality of emergency medical assistance work

The impact of zno nanoparticles application on yield components of different wheat genotypes

The properties of zinc oxide nanoparticles (ZnO NPs) and their use have been shown as prominent for application in agriculture since it can bring certain benefits in agricultural production. The objective of this study was to estimate the impact of seed priming with ZnO NPs on yield components, plant height and spike length on wheat. In order to estimate the effects of ZnO nanoparticles on yield component, four winter wheat genotypes namely, NS Pobeda, NS Futura, NS 40S and NK Ingenio were selected. Seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0, 10, 100 and 1000 mg l-1) for 48 h in dark box by continuous aeration. Primed seeds were after sown in soil pots with 60-70% moisture contents during the till maturity. Considerable improvement was observed in plant height and spike length which increased with rates of ZnO NPs compared to the control. At rates of 10 mg l-1 ZnO NPs, the greatest increases in plant height and spike length were observed for genotypes NS Pobeda and NS Futura. At 100 mg l-1 ZnO NPs, the greatest increase for both traits was observed for genotypes NS 40S and NK Ingenio. Maximum rates of ZnO nanoparticles reduced both observed traits of wheat. The result indicated that ZnO nanoparticles can significantly increase plant height and spike length of wheat, but also plant response to ZnO nanoparticles significantly depends on concentration of application, as well as from wheat genotype

Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions

Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L-1, 10 mg L-1, 100 mg L-1 and 1000 mg L-1) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60-70% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the GxE interaction, in which the first main component was significant for all components

Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions

The less productive soils present one of the major problems in wheat production. Because of unfavorable conditions, halomorphic soils could be intensively utilized using ameliorative measures and by selecting suitable stress tolerant wheat genotypes. This study examined the responses of ten winter wheat cultivars on stressful conditions of halomorphic soil, solonetz type in Banat, Serbia. The wheat genotypes were grown in field trails of control and treatments with two soil amelioration levels using phosphor gypsum, in amounts of 25 and 50 tha(-1). Across two vegetation seasons, phenotypic variability and genotype by environment interaction (GEI) for yield traits of wheat were studied. The additive main effects and multiplicative interaction (AMMI) models were used to study the GEI. AMMI analyses revealed significant genotype and environmental effects, as well as GEI effect. Analysis of GEI using the IPCA (Interaction Principal Components) analysis showed a statistical significance of the first two main components, IPCA1 and IPCA2 for yield, which jointly explained 70% of GEI variation. First source of variation IPCA1 explained 41.15% of the GEI for the grain weight per plant and 78.54% for the harvest index. The results revealed that wheat genotypes responded differently to stressful conditions and ameliorative measures

NEW FINDINGS OF HOVERFLY FAUNA (DIPTERA: SYRPHIDAE) OF THE WESTERN PART OF SERBIA (ZLATIBOR AND RAŠKA DISTRICTS)

During a three year systematic sampling of the hoverfly fauna in highlands of western Serbia, 150 hoverfly species of 51 genera were recorded for this region. Eumerus ovatus Loew, 1848, new to the fauna of Serbia, was recorded on mountain Zlatibor. Additionally, 4 new hoverfly species from the genus Merodon Meigen, 1803 were found, awaiting species descriptions. The most species-rich areas in the investigated region are SW part of Mt. Golija and SE part of Mt. Zlatar. These mountains also have the highest number of protected and strictly protected species. In order to preserve this high local diversity of hoverflies, protection of these areas, as well as proper conservation management are of crucial importance

Basic ISO standards related to the quality and safety/security in health care institutions

Health systems are under significant pressure in many countries. Every day, with the introduction of new methods/techniques, expensive equipment of high technological value, the latest very expensive drugs... the price of health care is growing much faster than the growth of the national product and the most developed countries, despite the fact that in many countries the percentage of health expenditures in the national product is growing. Funding constraints in health systems are evident even in wealthy countries. The cost of health care is significantly influenced by: the increase in the number of the population, changes in the age structure of the population, constant demands for increasing the level of quality of health services, as well as an increase in the demand for new services. The application of international management standards in healthcare institutions and in state institutions in charge of healthcare can significantly alleviate evident problems in healthcare

Uav-based land cover classification for hoverfly (Diptera : Syrphidae) habitat condition assessment: A case study on mt. stara planina (Serbia)

Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digitalizing ecological studies in Serbia, remote-sensing-based land cover classification has become a key component for both current and future research. Object-based land cover classification, using machine learning algorithms of very high resolution (VHR) imagery acquired by an unmanned aerial vehicle (UAV) was carried out in three different study sites on Mt. Stara Planina, Eastern Serbia. UAV land cover classified maps with seven land cover classes (trees, shrubs, meadows, road, water, agricultural land, and forest patches) were studied. Moreover, three different classification algorithms—support vector machine (SVM), random forest (RF), and k-NN (k-nearest neighbors)—were compared. This study shows that the random forest classifier performs better with respect to the other classifiers in all three study sites, with overall accuracy values ranging from 0.87 to 0.96. The overall results are robust to changes in labeling ground truth subsets. The obtained UAV land cover classified maps were compared with the Map of the Natural Vegetation of Europe (EPNV) and used to quantify habitat degradation and assess hoverfly species richness. It was concluded that the percentage of habitat degradation is primarily caused by anthropogenic pressure, thus affecting the richness of hoverfly species in the study sites. In order to enable research reproducibility, the datasets used in this study are made available in a public repository