276 Erciyes Med J 2020; 42(3): 276–80 • DOI: 10.14744/etd.2020.86429 ORIGINAL ARTICLE – OPEN ACCESS This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Edin Begic , Slobodan Obradovic , Slobodan Jankovic , Radoslav Romanovic , Nemanja Djenic , Boris Dzudovic , Zoran Jovic , Dragana Malovic , Vesna Subota , Milena Stavric , Farid Ljuca , Zumreta Kusljugic Increased High Sensitive C-reactive Protein is Associated with Major Adverse Cardiovascular Events after STEMI Objective: This study aims to investigate whether the high sensitive C-reactive protein (hsCRP) is associated with an ejection fraction of left ventricle (EFLV) in the early phase of ST-elevation myocardial infarction (STEMI), treated with the primary percutaneous intervention (pPCI), and to establish whether there exists a relationship between its values and the presence of major adverse cardiovascular events (MACE) within six months of pPCI. Materials and Methods: In this prospective study, 357 patients who were diagnosed with STEMI and who underwent pPCI within 24 hours of pain onset were included. The following were monitored and recorded: 1) hsCRP values, which were measured between 24 and 48 hours of pPCI, 2) EFLV values, which were measured five days after the pPCI, and 3) MACE, which was established within six months of pPCI. Results: The EFLV values measured five days after the pPCI were significantly lower with increasing hsCRP values (rho=0.384, p<0.0001). There was a significant difference in hsCRP values between patients who had MACE and those without it (38.35 [98.10] vs. 12.97 [23.80], p=0.0001). In addition, hsCRP values were significantly increased in patients who died during the first six months after the pPCI compared with patients who survived (115.00 [202.80] vs. 15.84 [31.5], p=0.001). Conclusion: The hsCRP values in patients with STEMI who were treated with the pPCI are related to systolic function in the early phase of STEMI, as well as MACE during the first six months of follow-up.
Mobile robots are increasingly becoming the subject of research and a very important area of science, so that the 21st century will be named as the century of development of service robots. Mobile robots are an excellent “System Engineering” research example because it includes a lot of scientific research, namely in the area of mechanical engineering, electrical engineering, electronics, computer science, social science, and more. As mobile robots perform their tasks in the same environment as humans, mobile robots should have the abilities that people have. The mobile robots should be able to recognize faces, gestures, signs, objects, speech and atmosphere. Successful realization set of tasks results in bypassing obstacles without collision and destruction in the shortest possible time and distance. They should communicate with people on the basis of emotion. The range of mobile robots application is huge. Mobile robots have found application in many areas, but this chapter will cover the following distribution of mobile robots areas of application: medicine, agriculture, defense, logistics, construction, demolition, professional cleaning, space exploration, education and scientific research. The price of robots is declining steadily and they are coming into ever wider use. It is only a matter of time before robots become available to the population of today's high school students, just as it happened with computers and cell phones.
All companies in the world are facing global competition. In order to keep up with the competition and meet the increasing demands of the market, it is essential that they use new technologies in the production processes (i.e., to implement Industry 4.0). The chapter presents smart sensors that automatically detect errors during the production process. Smart sensors communicate via IO-Link in stable communication, whereas the technology itself offers numerous practical benefits in everyday industrial work. Sensors are excellent data collectors and highly intelligent analysts that share their knowledge with their environment through an integrated real-time IO-Link interface. With the implementation of smart sensors in production systems, they become flexible production systems, contribute to the rapid start-up of the process, are automatically adjusted, enable digital data transmission, and can verify the device and the records.
In general, polynomial difference equations and polynomial maps in the plane have been studied in both the real and complex domains (see [8, 9]). First results on quadratic polynomial difference equation have been obtained in [1, 2] but these results gave us only a part of the basins of attraction of equilibrium points and period-two solutions. In [4], the general second order difference equation is completely investigated and described the regions of initial conditions in the first quadrant for which all solutions tend to equilibrium points, period-two solutions, or the point at infinity, except for the case of infinitely many period-two solutions. In [3], case of infinitely many period-two solutions is completely investigated. Our results are based on the theorems which hold for monotone difference equations. Our principal tool is the theory of monotone maps, and in particular cooperative maps, which guarantee the existence and uniqueness of the stable and unstable invariant manifolds for the fixed points and periodic points (see [5]). Consider the difference equation
This article presents the third part of data on selected new and noteworthy taxa ensuing from the revision of Herbarium collection of the Institute for Nature Conservation of the Vojvodina province (PZZP). Selected taxa include 11 species, three subspecies, three varieties, one infraspecific taxon with indetermined status [stat. indet.] and one nothospecies placed within seven genera (Filago L., Ludwigia L., Luzula DC., Lycopus L., Lythrum L., Phlomis L. and Silene L.). Two varieties (Luzula campestris subsp. campestris var. elata, Silene flos-cuculi subsp. floscuculi var. latifolia) and one infraspecific taxon with indetermined status (Luzula multiflora subsp. multiflora [stat. indet.] b. uliginosa) are new for a flora of Serbia. Additionally, one species (Ludwigia palustris) and one nothospecies (Lythrum ×scabrum) are confirmed for Serbia.
Background/Aim: The World Health Organization (WHO) declared the spread of a novel disease COVID-19 as a pandemic on 11 March 2020. As of 12 June, there have been more than 7.4 million COVID-19 cases and more than 418,000 COVID-19 deaths globally. This paper represents epidemiological analysis of the first 100 days of COVID-19 epidemic in the Republic of Srpska. Methods: Data of all COVID-19 cases confirmed in the Republic of Srpska between 4 March and 12 June were collected from epidemiological and laboratory testing reports obtained from the Public Health Institute of the Republic of Srpska. This cross-sectional analysis was carried out on a sample of 1,607 laboratory-confirmed COVID-19 cases, which included: summary of patient characteristics, examination of age distributions and sex ratios, calculation of case fatality and mortality rates, incidence rates analysis, epidemiological curve construction and subgroup analysis. Results: Over 100 days after the first case was confirmed, the total number of infected patients in the Republic of Srpska rose to 1,607 (31,471 persons had been tested). As of 12 June, 69.9 % of those cases has recovered. During that period there were 117 confirmed deaths (average age 72 years; 60.7 % males; 86 % older than 60 years; 94 % with at least one comorbidity). The sex ratio among the confirmed cases was 0.95:1 (48.7 % men vs 51.3 % women). Infections were less common in persons below 20 years of age (7.3 % of all confirmed cases) and the majority of the affected persons were in the group 40-69 years of age. As much as 86 % of all death cases occurred in persons older than 60 years (average age 72 years) and 94 % of all death cases had at least one underlying condition (mostly cardiovascular diseases, 79.5 %). Conclusion: Evaluating the clinical data of COVID-19 patients, finding the source of infection and studying the behavior of the disease is crucial for understanding of the pandemic.
Background/Aim. The aim of the study was investigating the significant difference in: a) the dosimetric calculation of the radiotherapy treatment planning system (TPS) in relation to the values obtained by measuring on the linear accelerator (Linac), b) the accuracy of the dosimetric calculation between the calculating algorithms Anisotropic Algorithm (AAA) and AcurosXB in various tissues and photon beam energies. Methods. For End-to-End test we used the heterogeneous phantom CIRS Thorax002LFC, which anatomically represents the human torso with set of inserts known relative electron density (RED) for obtaining a CT calibration curve, comparable to the “reference” CIRS 062M phantom. For the AAA and AcurosXB algorithms and for 6 MV and 16 MV photon beams in the TPS Varian Eclipse 13.6, four 3D conformal (3DCRT), and one intensity modulated (IMRT) and volumetric modulated arc (VMAT) radiotherapy plans were made. Measurements of the absolute dose in the Thorax phantom, by PTW-Semiflex ionization chamber, were carried out on three Varian-DHX Linacs. Results . The difference between "reference" and measured CT conversion curves in the bone area is 3 %. For 476 phantom measurements, the difference between measured and TPS calculated dose of (3-6) %, we had in 30 (6.3 %) cases. According to regression analysis, the standardized Beta coefficient for relative errors, 6 MV vs 16 MV, was 0.337 (33.7 %, p < 0.001). Mean relative errors for AAA vs AcurosXB, using Mann-Whitney test, for bones were 1.56 % and 2.64 % (p = 0.004). Conclusion. The End-to-End test on Thorax002LFC phantom proved the accuracy of TPS dose calculation in relation to the one delivered to the patient by Linac. There is a significant difference for photon energies relative errors (higher values are obtained for 16 MV vs 6 MV). A statistically significant minor relative error in AAA vs. AcurosXB was found for the bone. test, heterogeneous phantom, calculating algorithms.
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