Self-knowledge and Professional Development-sustainable Educational Condition of a Relationship

AbstractPedagogical knowledge means knowing their potential inner resources, abilities and limitations in relation to itself and to others. This implies an increase in responsibilities and aspirations of teachers to actively participate in their own development. Thus, their potential pedagogical self-knowledge is the first step in the process of personal and professional self. Has the effect of optimizing the educational relationship, triggered by the need to be efficient in any teaching activities. Effectiveness of education depends largely on the quality of teacher-student relationship. This must be one of alliance, participation and mutual cooperation it is possible to express ideas and feelings, values and beliefs in the common repertoire of teacher and student class. In essence, ensures effective pedagogical communication. Entails developing an empathic relationship with the student, mutual trust, mutual respect, high availability, cognitive, and affective and motivational. In this study we aim to render the responses obtained after applying an opinion survey on skills and qualities of a professor of psychology, a total of 20 students of the Faculty of Psychology and Educational Sciences, which is training courses for the teaching career

Do Fiscal Rules Constrain Fiscal Policy in Romania?

At both macroeconomic and national level, in recent decades, European tax policies have shown a particular interest in addressing the spectrum of risk issues in terms of maturing the business environment and the lack of sustainable development of the economy. In Romania there has been a significant increase in public debt, which is increasingly threatening fiscal sustainability. This is due to fiscal rules that restrict the applicability of fiscal policy to balancing the national economy. However, fiscal policy did not act in the direction of economic recovery during the crisis that started in the last quarter of 2008, which had a negative impact on the Romanian business environment. Objectively, fiscal policy should manifest itself as a general framework of the economy on the basis of which to develop fiscal rules that act in the direction of sustainable development of the business environment and implicitly, of socio-economic life. The research carried out referred to identify how fiscal rules in Romania restrict the application of fiscal policy as well as whether there is an explicit concordance between them. The research methodology aimed to use the ARDL model to apply the Granger causality test, using quarterly data for a set of four indicators, being identified that Romanian fiscal rules restrict fiscal policy. The achieved results highlighted the fact that fiscal rules restrict fiscal policy, being identified a long-run relationship between the analyzed variables and implicitly, a state of instability of the fiscal system in Romania. Keywords: fiscal policy, autoregressive distributed-lagged model, Granger causality test

Numerical analysis of the stress state in a plating floor for a 8000 tdw chemical tanker

The analysis has the purpose to determine the stresses that will occur in the structure un-der unfavorable conditions. Depending on the results, intervention will be made upon the structure to ensure the resistance of the vessel, optimizing of the elements of the framing system in the areas where the maximum allowable stresses are exceeded. The analysis will be performed on a cargo tank, for three static stress cases, the vessel be-ing placed on still water, on sagging and hogging

Spatio-Temporal Evolution of Sediments Pollution with Mobile Heavy Metals in an Abandoned Mining Area from Romania

The present chapter focuses on spatio-temporal evolution of sediments pollution with mobile heavy metals in five sampling campaigns, in an abandoned gold-bearing mining area from Certeju de Jos, Hunedoara County. The investigated zone is situated in a region where for a long period intense activities of mining exploitation was conducted. For determination of total metals content, sediment samples were dissolved with ultrapure nitric acid to microwave digestion. For the determination of mobile metals concentrations, it used the first step of BCR 701 sequential extraction scheme in a modified form, by reducing the extraction time from 16 hours to 20 minutes by sonication. The total and mobile concentrations of metals were determined by using ICP-MS. The concentrations of the mobile fractions of Cd, As and Cu are between 60 and 98% for Cd, 10 and 38% for As and up to 44% for Cu, indicating their presence in a bioavailable form. Due to the high mobility, these metals can pass from sediment to surface water and, implicitly, to the aquatic ecosystems. The pollution indices, calculated for the total content of As, Cd, Cu, Ni and Pb, indicate the presence of a strong environmental risk of sediment degradation in most investigated site

Determining factors in shaping the sustainable behavior of the generation Z consumer

Introduction: Organizations currently emphasize green marketing strategies by implementing marketing practices, aiming to design, produce, promote and sell green products. Thus, both consumers and producers have turned their attention to the category of environmental friendly products, taking into account that the concept of green marketing is now being given greater importance. Responsible organizations have begun to adapt their strategies in production, promotion and interaction activities with consumers or potential consumers of organic products in the context we are going through, when environmental protection becomes an imperative. Analysis of the sustainable behavior of Generation Z is a determining factor from the perspective of the task that this generation will naturally take on, in terms of environmental responsibility.Methods: The research aims to determine the profile of the Generation Z consumer, in order to adapt the strategic actions of the government or organizations to direct and educate as objectively and efficiently as possible towards adopting the principles of ecological, sustainable and responsible consumption. Based on the data collected through a survey, we analyzed the sustainable behavior of Generation Z consumers studying at Romanian universities where there are specializations in this field. The research is quantitative, using structural equation modelling with partial least squares (PLSSEM) to test the hypotheses regarding the relationship between the determining factors and the sustainable behavior of Generation Z consumers.Results and Discussion: The results show that there is a positive relationship between both the sustainable behavior of Generation Z consumers and the satisfaction it conveys to them, as well as their environmental protection activities. However, there is no relationship between the sustainable behavior of Generation Z consumers and the green marketing practices of the organizations, environmental issues and their identification with the environmentally responsible consumer

Renewable energy strategy analysis in relation to environmental pollution for BRICS, G7, and EU countries by using a machine learning framework and panel data analysis

The present research uses machine learning, panel data and time series prediction and forecasting techniques to establish a framework between a series of renewable energy and environmental pollution parameters, considering data for BRICS, G7, and EU countries, which can serve as a tool for optimizing the policy strategy in the sustainable energy production sector. The results indicates that XGBoost model for predicting the renewable energy production capacity reveals the highest feature importance among independent variables is associated with the gas consumption parameter in the case of G7, oil consumption for EU block and GHG emissions for BRICS, respectively. Furthermore, the generalized additive model (GAM) predictions for the EU block reveal the scenario of relatively constant renewable energy capacity if gas consumption increases, while oil consumption increases determine an increase in renewable energy capacity until a kick point, followed by a decrease. The GAM models for G7 revealed the scenario of an upward trend of renewable energy production capacity, as gas consumption increases and renewable energy production capacity decreases while oil consumption increases. In the case of the BRICS geopolitical block, the prediction scenario reveals that, in time, an increase in gas consumption generates an increase in renewable energy production capacity. The PCA emphasizes that renewable energy production capacity and GHG, respectively CO2 emissions, are highly correlated and are integrated into the first component, which explains more than 60% of the variance. The resulting models represent a good prediction capacity and reveal specific peculiarities for each analyzed geopolitical block. The prediction models conclude that the EU economic growth scenario is based on fossil fuel energy sources during the first development stage, followed by a shift to renewable energy sources once it reaches a kick point, during the second development stage. The decrease in renewable energy production capacity when oil consumption increases indicates that fossil fuels are in trend within the G7 economy. In the case of BRICS, it is assumed that gas consumption appears because of increasing the industrial capacity, followed by the increase of economic sustainability, respectively. In addition, the generalized additive models emphasize evolution scenarios with different peculiarities, specific for each analyzed geopolitical block

Isotopic and Elemental Fingerprint of Edible Egg Parts—The Health Risk Assessment Based on Potentially Toxic Elements Content

The present study investigated the isotopic and elemental profile (by IRMS and ICP–MS) of edible egg parts (29 egg whites and 29 yolks) mainly collected from Romania. In order to differentiate the egg white and yolk coming from different hen rearing systems (backyard and barn), Partial Least Square-Discriminant Analysis (PLS-DA) models were developed. The models’ accuracies for the discrimination according to the hen growing system were 96% for egg white and 100% for egg yolk samples, respectively. Elements that proved to have the highest discrimination power for both egg white and yolk were the following: δ13C, Li, B, Mg, K, Ca, Mn, Fe, Co, Zn, Rb, Sr, Mo, Ba, La, Ce, and Pb. Nevertheless, the important compositional differentiation, in terms of essential mineral content, between the edible egg parts (egg white and egg yolk) were also pointed out. The estimated daily intake (EDI), the target hazard quotient (THQ) for Cr, Mn, Fe, Co, Ni, Cu, Zn, Se, Cd, Pb, and As, as well as the hazard index (HI) were used to assess non-carcinogenic human health risks from egg consumption. The obtained results showed no noticeable health risks related to egg consumption for humans from the point of view of the potentially toxic metals