106 research outputs found

    ENTREPRENEURSHIP AND FEMALE ENTREPRENEURSHIP IN MARAMURES COUNTY

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    Initiating and developing a business involves a considerable risk and a sustained effort in order to defeat the inertia against what is new. The person initiating a business, assuming the responsibility and risk of its development and benefiting from theentrepreneurship, female entrepreneurship, profit, businesses

    Nichts für Schnellbetrachter: Doina Ioanids "Poesie der leichten Töne"

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    The article presents Doina Ioanid and her prose poems. In her poems, Ioanid records in detailed manner everyday life episodes in order to capture the fragile, authentic, genuine aspects and thus the poetry of simple life. The author use the apparent trivial aspects of life for selfreflections and for her escapes into fantasy. Her poems is the result of a cautious language precision and frugality, which make of DoinaIoanid one of the most representative and gifted Romanian poets of the young generation

    ACTIVITIES OF THE SONG AND DANCE ENSEMBLE DOINA IN 1942-1944

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    The State Academic Chapel ”Doina” is the oldest and most significant performing choir in the Republic of Moldova. An important stage of development occurred during the Second World War: in 1942, the chapel was reorganized into the Doina Song and Dance Ensemble, which brought together musicians, singers and dancers from the Moldovan State Philharmonic. The author considers issues related to the life of the choir collective during the evacuation period and the implementation of concert activities in military field conditions. The geography of the ensemble’s tours is studied, the selection of the repertoire and the interaction of the administration with composers, poets, and heads of other organizations are analyzed. Particular attention is paid to the organization of everyday life and the life of the artists of the Doina Ensemble in wartime conditions. The author uses all available archival materials from the funds of the National Archives of the Republic of Moldova, memoirs of the artists of the ensemble, reminiscences of eyewitnesses, biographies of the artistic directors of the ensemble

    An Econometric model for the evolution of the Romanian Interbank Bid Rate (ROBID) in the context of the international financial crisis

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    The paper presents the econometric modeling of overnight inter-banking interest rates (ROBID) in our country, the analyzed period is between 1999-2010. The international financial crises had a great impact on the level of inter-banking interest rates after 2007 and it reflects the new level of risk for the Romanian system banking. The econometric model used in modeling the interest rates is an autoregressive moving average (ARMA) model, the ARMA model is typically applied to time series data; the paper propose several ARMA models, applies econometric tests and based on them the analyzed series (the inter-banking interest rates) forecast will be made.ROBID, ARIMA model, financial crisis, forecast.

    Similarities and disparities between Romanian individual and consolidated financial group statements

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    The purpose of this study is to identify, analyse and assess the main connections and implications of consolidated accounts on enterprise economy. Appearance of consolidated financial statements is intrinsically linked to certain concepts, such as group, control, the perimeter of consolidation, percentages of interests, methods of consolidation, or restatements. For a more complete view regarding consolidated annual accounts, it is necessary to delimit and define these particular elements. This approach targets the presentation of our vision over positioning, place and function of financial consolidated statements in the process of the financial report. The study envisages a summary and comparison of ideas found on this subject in thespecialty literature, the regulations developed by various international bodies. Thus, we think it will facilitate the correct positioning of the consolidated financial statements and the consolidated accounts’ concepts. To achieve the proposed desiderates, we have used a constructive methodology for identifying disagreements, approvals and development of a speech to more efficient and effective management of the mentioned concepts

    Bankruptcy risk prediction models based on artificial neural networks

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    The purpose of this research is to study the ability of artificial neural networks to forecast the companies’ risk of financial distress. We predicted the bankruptcy risk using the associated financial ratios (overall liquidity ratio and the overall solvency ratio) and two artificial neural network models based on the backpropagation algorithm. The proposed models were implemented and tested using the PyBrain software and have been applied to 55 companies listed on the Bucharest Stock Exchange during 2010-2014. After a total of 19,944 iterations for the learning stage, the two algorithms converged and the errors obtained during the tests reached the fixed target. The empirical results showed that the artificial neural network models are efficient and reliable in detecting the risk of bankruptcy. The artificial neural networks are very useful in economic analysis when the complexity of data makes it difficult to implement functions that proper describe the link between economic variables. The use of the neural networks method for predicting the risk of bankruptcy is less common in Romania. This study intends to fill this gap in the literature and we believe it could be of interest not only for the companies listed on the stock exchange, but also for investors, shareholders and banks

    On the Gender of Books: Author Gender Mixing in Book Communities

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    Using a book co-buying network from amazon.com of over 1 million books, we find empirically that readers who have purchased male first authors before are substantially less likely than expected to buy books by female first authors, when aggregated across the entire book market. Conversely, past buyers of female authors are slightly more likely than expected to buy other female authors. This same-gender assortativity is found to be local: certain writing genres are ``coloured'' preferentially by one gender. This can be attributed both to writer availability (i.e., a gender's preferential attachment to writing for one genre), and to the buyers' preferential attachment to the output of writers of one gender. We obtain these insights by classifying the gender of the first author for most of the books, then running statistical tests which compare the gender makeup of books co-bought with either male or female books. Structural book communities, as generated from readers' co-buying choices, are computed, visualised in terms of gender makeup, and their writing genres are summarised to match the genre with a gender makeup

    A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems

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    Kernel methods and support vector machines have become the most popular learning from examples paradigms. Several areas of application research make use of SVM approaches as for instance hand written character recognition, text categorization, face detection, pharmaceutical data analysis and drug design. Also, adapted SVM’s have been proposed for time series forecasting and in computational neuroscience as a tool for detection of symmetry when eye movement is connected with attention and visual perception. The aim of the paper is to investigate the potential of SVM’s in solving classification and regression tasks as well as to analyze the computational complexity corresponding to different methodologies aiming to solve a series of afferent arising sub-problems.Support Vector Machines, Kernel-Based Methods, Supervised Learning, Regression, Classification
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