Although CGE models have received heavy usage, they are often criticized as being insufficiently validated. Key parameters are often not econometrically estimated, and the performance of the model as a whole is rarely checked against historical outcomes. As a consequence, questions frequently arise as to how much faith one can put in CGE results. In this paper, we employ a novel approach to the...

The article deals with the sacred groves of the Balts in Lithuania and presents the linguistic background, the historical documents from the 12th– 18th century, the key folklore motifs of the topic, as well as selected examples of groves. The article also discusses possible relationships between pre-Christian religious traditions connected with the sacred groves and the ones which have survived...

The Master of Liberal Arts provides the chance to practice the methods of interdisciplinary inquiry that are the hallmark of a rigorous liberal arts education. As a student in the program, one can explore questions of identity through art, literature, and religion; analyze the politics of race in fiction, historical documents, the visual arts, and music; debate ethical choices presented by fict...

Document binarization is an active research area for many years. The choice of the most appropriate binarization algorithm for each case proved to be a very difficult procedure itself. In this paper, we propose a new technique for the validation of document binarization algorithms. Our method is simple in its implementation and can be performed on any binarization algorithm since it doesn’t req...

An enduring problem in electoral systems is that of "disproportionality," i.e., the mismatch between a party's percentage of the popular vote and its percentage of legislative seats. Such disproportionality is quite common and extreme cases are easy to find in the real word. To give just one example, the Liberal Party in Britain polled 13.8% of the national vote in 1979 but was rewarded with on...

Proper models for prediction of time series data can be an advantage in making important decisions. In this study, we tried with the comparison between one of the most useful classic models of economic evaluation, auto-regressive integrated moving average model and one of the most useful artificial intelligence models, adaptive neuro-fuzzy inference system (ANFIS), investigate modeling procedur...