Structural and Qualitative Analysis of the Romanian Banking System

The banking sector, the predominant component of the Romanian financial system, had a relatively stable structure in the period 2005-2009 and has experienced significant consolidation, particularly in the years 2005-2006, this being sustained mainly by the restructuring and privatization process, but also by Romania's EU accession perspective and the competitive environment in this area. Given the new status of Romania as EU member country, the competition in the banking system has increased significantly, leading to both structural changes, but also to changes in levels of analysis indicators of banking structure and performance. Following this analysis, it appears that, recently, our country's banking system saw a dynamic and unprecedented diversification resulting from the economic development of the society and adaptation to EU requirements, and we can say that in Romania there is, now, a modern and competitive banking system, which provides circulation of the domestic economy and provides banking products and services in accordance with trends in the European banking sector.banking structure, liquidity, solvability, banking performance, foreign capital

AN ECONOMETRICAL MODEL FOR CALCULATING THE ROMANIAN GROSS DOMESTIC PRODUCT

This article analyzes the possibility of determining the Romanian Gross Domestic Product on the basis of a linear model, based on macroeconomic indicators such as unemployment, inflation, exchange rate. The proposed solution allows forecasting the Gross Domestic Product for the following period of time based on equation determined from the model in order to develop scenarios for improving the macroeconomic situation of Romania. The article also can be a starting point in the field of strategic investments, both at macro and micro level. Any foreign investor, before starting a business in another country, calculated and also made predictions about the economic situation of that country, in order not to lose the investment made.regression, GDP, inflation, unemployment, forecast

CLASSIFICATION OF EUROPEAN UNION COUNTRIES FROM DATA MINING POINT OF VIEW, USING SAS ENTERPRISE GUIDE

With the development of computers and the increasing the amount of data it appeared the need of identifying new acquaintances, unknown until that moment in a relatively short time. The term of data mining involves the analysis of data from different views (aspects) in order to extract the knowledge to use them further in the foundation of decisions at microeconomic or macroeconomic levels. In this article we apply data analysis techniques such as principal component analysis and cluster analysis in order to group the countries of the European Union based on the financial indicators registered at the end of 2009 year.classification, cluster, data mining, European Union, financial indicators

MEASURING THE PERFORMANCE OF EDUCATIONAL ENTITIES WITH A DATA WAREHOUSE

This paper attempts to outline the benefits of using a data warehouse for supportingthe management decisions in a pre-academic learning institution. One of the aspects is themeasurement of the scholar performance of the pupils, correlated with the financial efforts made bythe school management. The performance is analyzed from a multi-dimensional perspective, whichallows the extraction of high quality information.data warehouse, education, analysis, performance, multidimensional

Systemic or local thrombolysis in high-risk pulmonary embolism

Background and Aim: High-risk pulmonary embolism (PE) represents an important health problem in emergency cardiology, being associated with a high rate of mortality. The aim of this study is to assess the efficacy and safety of pulmonary intra-arterial thrombolysis with streptokinase compared to systemic thrombolysis. Methods and Results: In our study, 28 patients with acute high risk PE were treated by intra-arterial thrombolysis with clinical success rate of 96.4%, while in the group with systemic thrombolysis (24 patients) the rate of clinical success was significantly lower (70.8%). Also, pressure gradient between right ventricle (RV) and right atrial (RA) (PRV-RA) decreased significantly in patients treated by pulmonary intra-arterial thrombolysis instead of systemic thrombolysis. Mortality during the hospitalization was 0% in the group with local thrombolysis and 29.2% in the other group, with a significant statistical difference. Major bleeding complications appeared in 14.3% of the patients with local thrombolysis and in 20.8% of the ones treated by systemic thrombolysis, without statistical significance. Moreover, the proportion of minor bleeding was comparable in the two groups of patients. There was no intracranial bleeding. Disseminated intravascular coagulation occurred in 1 patient with systemic thrombolysis. Conclusions: The rate of clinical success and the regression of RV overload were significantly higher in patients treated by pulmonary intra-arterial thrombolysis. The results regarding the efficiency of the pulmonary intra-arterial thrombolysis in high-risk PE are encouraging, the mortality in these patients being significantly lower than the one for systemic administration of the thrombolytic agent.

Structural and Qualitative Analysis of the Romanian Banking System

The banking sector, the predominant component of the Romanian financial system, had a relatively stable structure in the period 2005-2009 and has experienced significant consolidation, particularly in the years 2005-2006, this being sustained mainly by the restructuring and privatization process, but also by Romania's EU accession perspective and the competitive environment in this area. Given the new status of Romania as EU member country, the competition in the banking system has increased significantly, leading to both structural changes, but also to changes in levels of analysis indicators of banking structure and performance. Following this analysis, it appears that, recently, our country's banking system saw a dynamic and unprecedented diversification resulting from the economic development of the society and adaptation to EU requirements, and we can say that in Romania there is, now, a modern and competitive banking system, which provides circulation of the domestic economy and provides banking products and services in accordance with trends in the European banking sector

Compassion and suppression in caregivers: twin masks of tragedy and joy of caring

Background: Compassionate caregiving is a critical skill for workers among the helping professions, but the degree of empathy required by caregivers can place high demands on their mental and emotional resources. While many professionals employ successful coping strategies to mitigate these stressors, others experience compassion fatigue or burnout from emotional exhaustion. The objective of this research was to evaluate the relationships between caregivers’ demographic/career variables, compassion satisfaction, compassion fatigue, and psychodynamic defense mechanisms such as suppression, repressive function, regression in the service of the Ego, and rationalization. Methods: Participants were 250 caregivers with 178 (71,2%) women and 72 men (28,8%) between 18 and 80 years old (Mean age = 41,37; SD = 13,78). Standardized instruments were used to assess compassion in its different meanings (Professional Quality of Life Measure, ProQOL-5) and deployment of defense mechanisms such as suppression (Suppression Mental Questionnaire, SMQ). Correlational analyses were performed. Results: Greater compassion satisfaction was positively associated with more years of study and inversely associated with increasing age and working days per week. Burnout was positively correlated with greater age, more working hours per week, and more working days per week. Higher secondary traumatic stress was associated with increasing age, higher working hours, and more working days per week, while it was inversely associated with more years of study. Regarding the psychological defense mechanisms, more years of study was inversely associated with lower deployment of the repressive function, regression in the service of the Ego, and rationalization. Advancing age was negatively correlated with repression and regression in the service of the Ego, while it was positively correlated with rationalization. A higher number of working days per week was associated with greater utilization of all defense mechanisms, and higher working hours per week was correlated with higher SMQ total scores and greater use of the repressive function. Greater deployment of nearly all defense mechanisms was associated with greater secondary traumatic stress, while compassion satisfaction was associated with less utilization of repression, rationalization, and lower total SMQ scores. Conclusions: Excessive reliance on psychodynamic defense mechanisms can increase caregivers’ risk for burnout or secondary traumatic stress. Compassion satisfaction might serve as one coping strategy to mitigate emotional exhaustion among professionals

Exploring Empirical Correlations among Energy Efficiency, Energy Productivity, Energy Use and Economic Development in EU Countries

Energy is a crucial component of industrial development and the provision of essential services, as well as an essential element of economic development. Therefore, improving the integration of environmental and energy-efficiency concerns into environmental, economic, and social policies is an essential task for all nations. During the last decades, the trends in energy consumption are determined by economic activities, demographics, lifestyle changes, and weather. In these contexts, the objective of the current research will be to analyse and evaluate the correlations between energy efficiency, energy productivity, energy use and economic development using the linear regression method. Based on the results and the validated/invalidated hypothesis, the paper will propose, also, ways and means for a positive correlation and influence among the studies variables.</p

New Approaches of NARX-Based Forecasting Model. A Case Study on CHF-RON Exchange Rate

The work reported in the paper focuses on the prediction of the exchange rate of the Swiss Franc-Romanian Leu against the US Dollar-Romanian Leu using the NARX model. We propose two new forecasting methods based on NARX model by considering both additional testing and network retraining in order to improve the generalization capacities of the trained neural network. The forecasting accuracy of the two methods is evaluated in terms of one of the most popular quality measure, namely weighted RMSE error. The comparative analysis together with experimental results and conclusive remarks are reported in the final part of the paper. The performances of the proposed methodologies are evaluated by a long series of tests, the results being very encouraging as compared to similar developments. Based on the conducted experiments, we conclude that both resulted algorithms perform better than the classical one. Moreover, the retraining method in which the network is conserved over time outperforms the one in which only additional testing is used