50 research outputs found
Economic Aspects Of Financial Leasing In Business Investments
No full textLeasing, as a financial instrument, was able to affirm itself in many developed countries as one of the most effective and accessible mechanisms for financing the expansion and development of the means of production, asset finance necessary for the development and for the application of new technologies in business. Leasing is a modern way of financing through which the customer enjoys a good, the payment being spread over the period of the lease, and the installments paid being deductible according to the type of leasing contract. Compared with other forms of financing, leasing has the advantage of eliminating red tape required for the granting of credits and the financial guarantees only with the asset that is the subject of the lease.leasing, investment project, financial flows, estimating risk
The Magazine Bibliologic - the first professional magazine for librarians
No full textThe article deals with „Magazine Bibliologic”,which is edited by the National Library of Moldova for 25 years. Alexe Rau , writer and philosopher, late bibliologist, was the chief- editor of the first national specialized magazine in which the library values are promoted by authors from the country and abroad. In the magazine were introdused a heading offered space for institutions at a certain age. This is occasioned the publication of number 3-4 of 2005 devoted to 60th anniversary of the Scientific Library of Alecu Russo Balti State University. Foreword article „The North Eeffect on the Library Science” was signed by Alexe Rau, „Balti University Library and her People” was written by Elena Harconita. The library has been congratulated by Nicolae Filip, Rector, Radu Motoc , the engineer, Honorary Member of the USARB Senate, Ion Madan,Professor, Iurie Colesnic, researcher and writer , Alexandru Budișteanu, dr.- architect, Doctor Honoris Causa of USARB, dr. Thomas Wilhelmi from Switzerland
Breast cancer prognosis by combinatorial analysis of gene expression data
No full textIntroduction The potential of applying data analysis tools to microarray data for diagnosis and prognosis is illustrated on the recent breast cancer dataset of van 't Veer and coworkers. We re-examine that dataset using the novel technique of logical analysis of data (LAD), with the double objective of discovering patterns characteristic for cases with good or poor outcome, using them for accurate and justifiable predictions; and deriving novel information about the role of genes, the existence of special classes of cases, and other factors. Method Data were analyzed using the combinatorics and optimization-based method of LAD, recently shown to provide highly accurate diagnostic and prognostic systems in cardiology, cancer proteomics, hematology, pulmonology, and other disciplines. Results LAD identified a subset of 17 of the 25,000 genes, capable of fully distinguishing between patients with poor, respectively good prognoses. An extensive list of 'patterns' or 'combinatorial biomarkers' (that is, combinations of genes and limitations on their expression levels) was generated, and 40 patterns were used to create a prognostic system, shown to have 100% and 92.9% weighted accuracy on the training and test sets, respectively. The prognostic system uses fewer genes than other methods, and has similar or better accuracy than those reported in other studies. Out of the 17 genes identified by LAD, three (respectively, five) were shown to play a significant role in determining poor (respectively, good) prognosis. Two new classes of patients (described by similar sets of covering patterns, gene expression ranges, and clinical features) were discovered. As a by-product of the study, it is shown that the training and the test sets of van 't Veer have differing characteristics. Conclusion The study shows that LAD provides an accurate and fully explanatory prognostic system for breast cancer using genomic data (that is, a system that, in addition to predicting good or poor prognosis, provides an individualized explanation of the reasons for that prognosis for each patient). Moreover, the LAD model provides valuable insights into the roles of individual and combinatorial biomarkers, allows the discovery of new classes of patients, and generates a vast library of biomedical research hypotheses.The published version of this article is available at: http://dx.doi.org/10.1186/bcr151
Strategic Directions for the Bucharest Strategy and City Brand
No full textOn the international stage, public administration has become an essential factor, capable of providing a nation with the competitive advantage. Improving standards in local administration in our country has included not only a vigorous and sustained process of reform, but also a drive to modernise and perfect management within the public sector. These aspects are essential, since decisions made by partners and investors are to an ever larger extent influenced by the quality, efficiency and credibility of public administration.
Following these considerations, and based upon an empirical research conducted with the aid of a survey and a comparative analysis between the manner in which the branding and development strategies were developed in Vancouver and Bucharest, the present paper aims to identify the main strategic directions and branding elements necessary in elaborating a strategy and in accumulating a dossier of best practices, in order to implement successfully the strategic planning process and the branding strategy in the local communities of Romania
Obtaining and using second order derivative information in the solution of large scale inverse problems
No full textSecond order adjoints for solving PDE-constrained optimization problems
No full textInverse problems are of utmost importance in many fields of science and engineering. In the
variational approach inverse problems are formulated as PDE-constrained optimization problems,
where the optimal estimate of the uncertain parameters is the minimizer of a certain cost
functional subject to the constraints posed by the model equations. The numerical solution
of such optimization problems requires the computation of derivatives of the model output
with respect to model parameters. The first order derivatives of a cost functional (defined
on the model output) with respect to a large number of model parameters can be calculated
efficiently through first order adjoint sensitivity analysis. Second order adjoint models
give second derivative information in the form of matrix-vector products between the Hessian
of the cost functional and user defined vectors. Traditionally, the construction of second
order derivatives for large scale models has been considered too costly. Consequently, data
assimilation applications employ optimization algorithms that use only first order derivative
information, like nonlinear conjugate gradients and quasi-Newton methods.
In this paper we discuss the mathematical foundations of second order adjoint sensitivity
analysis and show that it provides an efficient approach to obtain Hessian-vector products. We
study the benefits of using of second order information in the numerical optimization process
for data assimilation applications. The numerical studies are performed in a twin experiment
setting with a two-dimensional shallow water model. Different scenarios are considered with
different discretization approaches, observation sets, and noise levels. Optimization algorithms
that employ second order derivatives are tested against widely used methods that require
only first order derivatives. Conclusions are drawn regarding the potential benefits and the
limitations of using high-order information in large scale data assimilation problems
Second order adjoints for solving PDE-constrained optimization problems
No full textInverse problems are of utmost importance in many fields of science and engineering. In the variational approach inverse problems are formulated as PDE-constrained optimization problems, where the optimal estimate of the uncertain parameters is the minimizer of a certain cost functional subject to the constraints posed by the model equations. The numerical solution of such optimization problems requires the computation of derivatives of the model output with respect to model parameters. The first order derivatives of a cost functional (defined on the model output) with respect to a large number of model parameters can be calculated efficiently through first order adjoint sensitivity analysis. Second order adjoint models give second derivative information in the form of matrix-vector products between the Hessian of the cost functional and user defined vectors. Traditionally, the construction of second order derivatives for large scale models has been considered too costly. Consequently, data assimilation applications employ optimization algorithms that use only first order derivative information, like nonlinear conjugate gradients and quasi-Newton methods. In this paper we discuss the mathematical foundations of second order adjoint sensitivity analysis and show that it provides an efficient approach to obtain Hessian-vector products. We study the benefits of using of second order information in the numerical optimization process for data assimilation applications. The numerical studies are performed in a twin experiment setting with a two-dimensional shallow water model. Different scenarios are considered with different discretization approaches, observation sets, and noise levels. Optimization algorithms that employ second order derivatives are tested against widely used methods that require only first order derivatives. Conclusions are drawn regarding the potential benefits and the limitations of using high-order information in large scale data assimilation problems
ACTIVITĂȚILE DE FORMARE CONTINUĂ DIN CADRUL PROIECTULUI "HRISOAVELE BASARABENE ȘI ALTE DOCUMENTE ISTORICE DIN SEC. XIX"
No full textThe author describes the training activities of continuing education, organized during the project „Early 19th-Century Bessarabian Charters and Historical Documents”, implemented by the National Library of Republic of Moldova and the Public Association „Alexe Rău” Librarians’ League of the Republic of Moldova”. The international workshops „Preservation policy of collection of documents” and “Technology and innovation methods of restoration of old documents” were delivered by the specialists of the Library of Congress of USA. The article is supplemented by Annexes, which include, as well, the recommendations on conservation and preservation, reasonable for a large number of institutions of information and documentation
SINTEZA REPERELOR CONCEPTUALE PRIVIND DEVIANȚA RELIGIOASĂ ÎN ACCEPȚIUNEA CRIMINOTEOLOGIEI MODERNE
No full textObiectul de studiu este devianța religioasă privită în accepțiunea criminoteologiei moderne. În acest sens, articolul de față face parte din studiul științific avansat al criminoteologiei moderne. În doctrina criminologică această direcție mai este numită criminologie religioasă, care reprezintă un domeniu de sine stătător de cercetare științifică. Criminoteologia operează cu criminalitatea religioasă, precum și cu alte forme de devianță religioasă. Prin urmare, scopul acestui mesaj științific este sinteza reperelor conceptuale privind devianța religioasă privită și efectuată prin prisma criminoteologiei moderne. Tema articolului este una nouă și foarte actuală în materia de prevenire și prognozare a criminalității religioase. În cadrul acestui articol autorul a operat cu categoriile de „criminoteologie”, „criminalitate religioasă”, „devianță religioasă”, „fenomenologia criminalității religioase”, „fanatism religios”, „extremism religios” și „prozelitism abuziv”. Concluziile sintetizate merită a fi luate în considerare la dezvoltarea ulterioară și îmbunătățirea doctrinei criminologice contemporane.Synthesis of the conceptual theses concerning religious deviancyin the view of modern theological criminologyThe object of present research is considered to be the religious deviancy studied from the perspective of theological criminology viewed as a part of the modern criminology. In the realm of the criminological science this direction is called as the religious criminology too, which constitutes an independent domain of the scientific research. In the opinion of the author, theological criminology operates with other religious criminality as well as with other forms of religious deviation. As a result, the purpose of this scientific message is imposed to be synthesis of the conceptual stand-points of religious deviation analyzed from the view of the modern theological criminology. The topic of the article is regarded as the newest one and extremely important in the matter of criminological prevention and prognosis of religious crimes and deviations. During the research the author operates with the following scientific categories: “theological criminology”, “religious criminality”, “religious deviancy”, “phenomenology of religious criminality”, “religious fanatics”, “religious extremism” and “abusive proselytism”. Conclusions merit to be taken into account for further improvement of the modern criminological doctrine.</p
