This study presents the behavior of white mustard seedlings Sinapis alba grown for three months in laboratory polluted soil containing As, Cd, Ni and Pb. Four different experiments were performed in which As was combined with the other three toxic metals in different combinations (As, AsCd, AsCdNi, AsCdNiPb), keeping the same concentrations of As and Cd in all tests and following the national soil quality regulations. The effects of these metals were monitored by the analytical control of metal concentrations in soil and plants, bioavailability tests of mobile metal fractions using three different extracting solutions (DTPA + TEA + CaCl₂-DTPA, DTPA + CaCl₂-CAT, and CH₃COONH₄ + EDTA-EDTA) and calculation of bioaccumulation and translocation factors. Additionally, micro, and macro-nutrients both in soil and plant (root, stem, leaves, flowers and seeds) were analyzed in order to evaluate the impact of toxic metals on plant nutrient metabolism. Metals were significantly and differently accumulated in the plant tissues, especially under AsCdNi and AsCdNiPb treatments. Significant differences (p < 0.05) in the concentration of both As and Cd were highlighted. Translocation could be influenced by the presence of other toxic metals, such as Cd, but also of essential metals, through the competition and antagonism processes existing in plant tissues. Significantly, more Cd and Ni levels were detected in leaves and flowers. Cd was also detected in seeds above the WHO limit, but the results are not statistically significant (p > 0.05). The extraction of metallic nutrients (Zn, Cu, Mn, Ni, Mg, K, Fe, Ca, Cr) in the plant was not influenced by the presence of toxic metal combinations, on the contrary, their translocation was more efficient in the aerial parts of the plants. No phytotoxic effects were recorded during the exposure period. The most efficient methods of metal extraction from soil were for As-CAT; Cd-all methods; Pb and Ni-DTPA. The Pearson correlations (r) between applied extraction methods and metal detection in plants showed positive correlations for all toxic metals as follows: As-CAT > DTPA > EDTA, Cd-DTPA > CAT > EDTA, Ni-EDTA = DTPA > CAT, Pb-EDTA = DTPA = CAT). The results revealed that Sinapis alba has a good ability to accumulate the most bioavailable metals Cd and Ni, to stabilize As at the root level and to block Pb in soil.

The study analyzes the performance levels achieved by Romanian wholesaler SMEs from Hunedoara County and to advance some practical courses of action designed to support local entrepreneurs in improving efficiency and in embracing circular economy (CE) practices. We employed cluster and discriminant analyses with a focus on providing an accurate classification of trade SMEs, according to their performance. Three distinct classifications of SMEs resulted in: (i) a class of enterprises displaying high levels of the rates of return, whose business owners exhibited an increased risk appetite and applied investment policies focusing on future development by means of incorporating digital instruments; (ii) a class of SMEs displaying average levels of rates of return, which manage to survive in situations of crisis through maintaining the position previously gained on the market; and (iii) a class of SMEs exhibiting a precarious financial position and employing defensive strategies, with managers who are reluctant to take risks in the innovation processes. Furthermore, we present a cloud computing solution which was tailored for one of the companies from our sample that appeared to be the most likely to carry out the transition from the average SME performance class to the higher class. The main advantages that are brought about by the IT solution in terms of environmental sustainability consist of: improvements in energy efficiency, the decrease in carbon footprints, the lowering of operational costs and the diminishing of the amount of e-waste.

Entrepreneurship can provide a creative, disruptive, problem-solving-oriented approach to the current economic, environmental, and social challenges of the world. This article aims to provide an analysis about the way universities can have an impact on developing entrepreneurial competence in students through extracurricular activities. The research relies on a questionnaire survey of students at the University of Petrosani, who participated in a range of entrepreneurial activities both online during the COVID-19 pandemic and face-to-face afterwards. The methodology consisted of applying principal component analysis to reduce the dimensionality of the indicators, followed by classification of the respondents through cluster analysis and training of a feedforward neural network. After finishing the network-training process, the error was minimized, resulting in three classes of respondents. Furthermore, based on the three classes, follow-up conclusions, policies, and decisions can be issued regarding the perception of entrepreneurship at the societal level, which is beneficial for academia and entrepreneurs, as well as for future research undertaken in this field. The key conclusion of our research is that entrepreneurship education is a real facilitator of the transition to sustainable entrepreneurship. Students perceived meeting successful entrepreneurs as being among the most effective extracurricular activities, assessing online activities as useful, and the field of study proved to be an important factor in their entrepreneurial intention.

The Covid-19 pandemic had a major impact in the entire world, both sanitary and economic. The purpose of this study is to analyse the European countries from this point of view. The main economic indicators related to import, wages, labour productivity, consumption, taxes, gross domestic product (GDP), as well as variables related to Covid-19 pandemic measures were considered in order to estimate the impact that pandemic measures have in economy. Principal component analysis was performed in order to reduce the dataset dimensionality and to create new indicators. Selected European countries are characterized and compared using principal components analysis outputs while regression is used to identify an influence of independent variables on GDP. The main results show that, comparing European countries economic situation in 2020 with the previous 2 years and considering variables that show the adopted closure measures, the Covid-19 pandemic have influenced the GDP from European countries.

Our study addresses the issue of telework adoption by countries in the European Union and draws up a few feasible scenarios aimed at improving telework’s degree of adaptability in Romania. We employed the dataset from the 2020 Eurofound survey on Living, Working and COVID-19 (Round 2) in order to extract ten relevant determinants of teleworking on the basis of 24,123 valid answers provided by respondents aged 18 and over: the availability of work equipment; the degree of satisfaction with the experience of working from home; the risks related to potential contamination with SARS-CoV-2 virus; the employees’ openness to adhering to working-from-home patterns; the possibility of maintaining work–life balance objectives while teleworking; the level of satisfaction on the amount and the quality of work submitted, etc. Our methodology entailed the employment of SAS Enterprise Guide software to perform a cluster analysis resulting in a preliminary classification of the EU countries with respect to the degree that they have been able to adapt to telework. Further on, in order to refine this taxonomy, a multilayer perceptron neural network with ten input variables in the initial layer, six neurons in the intermediate layer, and three neurons in the final layer was successfully trained. The results of our research demonstrate the existence of significant disparities in terms of telework adaptability, such as: low to moderate levels of adaptability (detected in countries such as Greece, Croatia, Portugal, Spain, Lithuania, Latvia, Poland, Italy); fair levels of adaptability (encountered in France, Slovakia, the Czech Republic, Hungary, Slovenia, or Romania); and high levels of adaptability (exhibited by intensely digitalized economies such Denmark, Sweden, Finland, Germany, Ireland, the Netherlands, Belgium, etc.).

With the development of technology, implicitly of the fast and easy access to information, the requirements and exigencies of the customers have changed. The customer asks for much more information about a product before deciding to buy it, and a prompt response from the sales team will tip the balance decisively in favor of the seller. The success of an efficient sales team is represented by addressing to the right customers at the right time and in the right way. In the paper we analyzed how the Odoo program can be implemented within the sales-marketing department. Using specific modules, we followed the information flow of the marketing process, from market prospecting and to the registration in accounting of the invoices resulting from the orders made. We also presented the way in which marketing campaigns can be carried out, depending on the target group to which it is addressed.