Impacts of the Euro on the Slovenian Tourism Industry

This paper examines the impacts of the Euro adoption in Slovenia on its tourism. For this purpose, the empirical research among foreign tourists in Slovenia was conducted on their perceptions of the Euro adoption in Slovenia during the second half of 2007. The multivariate factor analysis was performed, which confirmed the four common dimensions of the Euro impacts on Slovenian tourism: attractiveness, costs, expensiveness, and comparison. The mean values of the analyzed items indicate the most positive impacts of the Euro on the direct price comparison and the easiness of comparison among tourist destinations in the Euro zone. The empirical results suggest that the Euro adoption has had the greatest impacts on better comparisons among tourist destinations in the Euro zone, followed by a significant decline in travel-operational costs. The increase in the expensiveness of the destination among foreign tourists is confirmed, whereas no significant improvement in the attractiveness of Slovenia as a tourist destination was proved after the Euro adoption.the Euro adoption, European Union, Slovenian tourism, multivariate factor analysis

On-line Locating of Generator Trips in Large Power Systems

Power system is a giant dynamic system. It consists of numerous generation units, transmission lines and loads. Each sudden change influences both voltage and frequency conditions. Impact intensity of such events depends on power-system operating conditions at that time and specifics of an involved power-system element. Normally the most critical event represents an unscheduled outage of a major element following a fault. It is of crucial importance for a system operator to detect and evaluate the “danger” of such events as soon as possible in order to keep the operational security of a power system at a high level by taking suitable emergency actions. One of the most important information for the operator is the location of an event origin and in case of cascaded events the corresponding time sequence of all other events that follow.This paper describes different methods for on-line locating of generator trips in large power systems. The first and most significant step for on-line locating of generator trips is detection of it. The next step is time delay detection, observed from frequency, for which several different approaches can be used. The last step is locating of generator. In this paper two different methods are presented, the first method is multilateration and the second method is gradient search method. Their applications are demonstrated on a real case from ENTSO-E network. Results of both methods are compared

THE GDP IMPACT ON INTERNATIONAL TOURISM DEMAND: A SLOVENIA BASED CASE

The paper empirically examines the relationship between Slovenian GDP and international tourism expenditures of Slovenia in the period 1994-2006. For this purpose, regression analysis in different functional forms was used to examine the impact of GDP on international tourism expenditures. The results reveal positive and strong impact of GDP on international tourism expenditure in Slovenia in the given period of time. Further, income elasticity of outbound tourism demand was calculated leading to the conclusion that travelling in foreign destinations has characteristics of a luxury good for Slovenian people

Individualized Angiotensin‐Converting Enzyme (ACE)‐Inhibitor Therapy in Stable Coronary Artery Disease Based on Clinical and Pharmacogenetic Determinants: The PERindopril GENEtic (PERGENE) Risk Model

Patients with stable coronary artery disease (CAD) constitute a heterogeneous group in which the treatment benefits by angiotensin-converting enzyme (ACE)-inhibitor therapy vary between individuals. Our objective was to integrate clinical and pharmacogenetic determinants in an ultimate combined risk prediction model.Clinical, genetic, and outcomes data were used from 8726 stable CAD patients participating in the EUROPA/PERGENE trial of perindopril versus placebo. Multivariable analysis of phenotype data resulted in a clinical risk score (range, 0-21 points). Three single-nucleotide polymorphisms (rs275651 and rs5182 in the angiotensin-II type I-receptor gene and rs12050217 in the bradykinin type I-receptor gene) were used to construct a pharmacogenetic risk score (PGXscore; range, 0-6 points). Seven hundred eighty-five patients (9.0%) experienced the primary endpoint of cardiovascular mortality, nonfatal myocardial infarction or resuscitated cardiac arrest, during 4.2 years of follow-up. Absolute risk reductions ranged from 1.2% to 7.5% in the 73.5% of patients with PGXscore of 0 to 2. As a consequence, estimated annual numbers needed to treat ranged from as low as 29 (clinical risk score ≥10 and PGXscore of 0) to 521 (clinical risk score ≤6 and PGXscore of 2). Furthermore, our data suggest that long-term perindopril prescription in patients with a PGXscore of 0 to 2 is cost-effective.Both baseline clinical phenotype, as well as genotype determine the efficacy of widely prescribed ACE inhibition in stable CAD. Integration of clinical and pharmacogenetic determinants in a combined risk prediction model demonstrated a very wide range of gradients of absolute treatment benefit

Forecasting Tourist Arrivals Using Origin Country Macroeconomics

This study utilizes both disaggregated data and macroeconomic indicators in order to examine the importance of the macroeconomic environment of origin countries for analysing destinations’ tourist arrivals. In particular, it is the first study to present strong empirical evidence that both of these features in tandem provide statistically significant information of tourist arrivals in Greece. The forecasting exercises presented in our analysis show that macroeconomic indicators conducive to better forecasts are mainly origin country-specific, thus highlighting the importance of considering the apparent sharp national contrasts among origin countries when investigating domestic tourist arrivals. Given the extent of the dependency of the Greek economy on tourism income, but also, given the perishable nature of the tourist product itself, results have important implications for policy makers in Greece

Indications, complications, and outcomes of cardiac surgery after heart transplantation: results from the cash study

[Abstract] Background: Allograft pathologies, such as valvular, coronary artery, or aortic disease, may occur early and late after cardiac transplantation. Cardiac surgery after heart transplantation (CASH) may be an option to improve quality of life and allograft function and prolong survival. Experience with CASH, however, has been limited to single-center reports. Methods: We performed a retrospective, multicenter study of heart transplant recipients with CASH between January 1984 and December 2020. In this study, 60 high-volume cardiac transplant centers were invited to participate. Results: Data were available from 19 centers in North America (n = 7), South America (n = 1), and Europe (n = 11), with a total of 110 patients. A median of 3 (IQR 2-8.5) operations was reported by each center; five centers included ≥ 10 patients. Indications for CASH were valvular disease (n = 62), coronary artery disease (CAD) (n = 16), constrictive pericarditis (n = 17), aortic pathology (n = 13), and myxoma (n = 2). The median age at CASH was 57.7 (47.8-63.1) years, with a median time from transplant to CASH of 4.4 (1-9.6) years. Reoperation within the first year after transplantation was performed in 24.5%. In-hospital mortality was 9.1% (n = 10). 1-year survival was 86.2% and median follow-up was 8.2 (3.8-14.6) years. The most frequent perioperative complications were acute kidney injury and bleeding revision in 18 and 9.1%, respectively. Conclusion: Cardiac surgery after heart transplantation has low in-hospital mortality and postoperative complications in carefully selected patients. The incidence and type of CASH vary between international centers. Risk factors for the worse outcome are higher European System for Cardiac Operative Risk Evaluation (EuroSCORE II) and postoperative renal failure

Heart re-transplantation in Eurotransplant

Internationally 3% of the donor hearts are distributed to re-transplant patients. In Eurotransplant, only patients with a primary graft dysfunction (PGD) within 1 week after heart transplantation (HTX) are indicated for high urgency listing. The aim of this study is to provide evidence for the discussion on whether these patients should still be allocated with priority. All consecutive HTX performed in the period 1981-2015 were included. Multivariate Cox' model was built including: donor and recipient age and gender, ischaemia time, recipient diagnose, urgency status and era. The study population included 18 490 HTX, of these 463 (2.6%) were repeat transplants. The major indications for re-HTX were cardiac allograft vasculopathy (CAV) (50%), PGD (26%) and acute rejection (21%). In a multivariate model, compared with first HTX hazards ratio and 95% confidence interval for repeat HTX were 2.27 (1.83-2.82) for PGD, 2.24 (1.76-2.85) for acute rejection and 1.22 (1.00-1.48) for CAV (P < 0.0001). Outcome after cardiac re-HTX strongly depends on the indication for re-HTX with acceptable outcomes for CAV. In contrast, just 47.5% of all hearts transplanted in patients who were re-transplanted for PGD still functioned at 1-month post-transplant. Alternative options like VA-ECMO should be first offered before opting for acute re-transplantation

Associations between outdoor temperature and markers of inflammation: a cohort study

<p>Abstract</p> <p>Background</p> <p>Associations between ambient temperature and cardiovascular mortality are well established. This study investigated whether inflammation could be part of the mechanism leading to temperature-related cardiovascular deaths.</p> <p>Methods</p> <p>The study population consisted of a cohort of 673 men with mean age of 74.6 years, living in the greater Boston area. They were seen for examination roughly every 4 years, and blood samples for inflammation marker analyses were drawn in 2000-2008 (total of 1254 visits). We used a mixed effects model to estimate the associations between ambient temperature and a variety of inflammation markers (C-reactive protein, white blood cell count, soluble Vascular Cell Adhesion Molecule-1, soluble Intercellular Adhesion Molecule-1, tumor necrosis factor alpha, and interleukins -1β, -6 and -8). Random intercept for each subject and several possible confounders, including combustion-related air pollution and ozone, were used in the models.</p> <p>Results</p> <p>We found a 0 to 1 day lagged and up to 4 weeks cumulative responses in C-reactive protein in association with temperature. We observed a 24.9% increase [95% Confidence interval (CI): 7.36, 45.2] in C-reactive protein for a 5°C decrease in the 4 weeks' moving average of temperature. We observed similar associations also between temperature and soluble Intercellular Adhesion Molecule-1 (4.52%, 95% CI: 1.05, 8.10, over 4 weeks' moving average), and between temperature and soluble Vascular Cell Adhesion Molecule-1 (6.60%, 95% CI: 1.31, 12.2 over 4 weeks' moving average). Penalized spline models showed no deviation from linearity. There were no associations between temperature and other inflammation markers.</p> <p>Conclusions</p> <p>Cumulative exposure to decreased temperature is associated with an increase in inflammation marker levels among elderly men. This suggests that inflammation markers are part of intermediate processes, which may lead to cold-, but not heat-, related cardiovascular deaths.</p