Baltic Institute of Advanced Technology

Baltic, Lithuania

Baltic Institute of Advanced Technology

Baltic, Lithuania
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Liobikiene G.,Vytautas Magnus University | Liobikiene G.,Lithuanian University of Health Sciences | Mandravickaite J.,Baltic Institute of Advanced Technology
Environmental Science and Policy | Year: 2016

The European Union (EU) Cohesion Policy is the cornerstone of the EU policy. Therefore the aim of this study is to cover the implication of cohesion policy to greenhouse gas emissions from production-based perspective. Considering that the main task of the EU Cohesion Policy 2007-2013 was the convergence process, by applying the β-convergence the study showed that the EU Cohesion Policy (2007-2013) was implemented successfully and economic convergence in the EU countries was observed. Furthermore, the convergence of GHG emissions from a production-based perspective was confirmed as well. Evaluating the correlation coefficient between the technological contribution to changes in GHG emissions and GDP growth rate, the results showed that contribution of technological progress was the largest in those EU countries where the fastest GDP growth rate was observed. However, despite the considerable technological contribution to GHG emissions reductions, it does not offset the effect of production scale in the countries such as Bulgaria, Poland and the Baltic States. In terms of economic structural changes, the result revealed that economic growth did not seem to make an effect on larger contribution of economic structural change to GHG emissions reductions. Meanwhile, considering the implication of the new EU Cohesion Policy (2014-2020), it was shown the importance of the EU 2020 strategy implementation. Using correlation coefficient between changes in GHG emissions and changes in the share of renewable energy, expenditure on R&D as a percentage of GDP and energy efficiency, only the growth in the share of renewable energy resources had significant direct impact on the reduction of GHG emissions. Therefore the promotion of the share of renewable energy as well as technologies which contributed to the decrease of GHG emissions and the growth of energy saving rate, is the most important in seeking GHG reduction in the EU. © 2015 Elsevier Ltd.

Liobikiene G.,Vytautas Magnus University | Liobikiene G.,Lithuanian University of Health Sciences | Mandravickaite J.,Baltic Institute of Advanced Technology | Bernatoniene J.,Lithuanian University of Health Sciences
Ecological Economics | Year: 2016

Due to the fast growth of consumption, the promotion of purchasing green products could be a way to minimize the environmental impact and achieve the sustainable consumption. Considering that there is a lack of studies about green purchase behavior and its determinants in all European Union countries (EU), the aim of this paper is to evaluate the main determinants of green purchase behavior by applying the Theory of Planned Behavior. Referring to Hostefe's cultural dimensions we revealed how cultural aspects contribute to purchase behavior. The results showed that there were observed big differences in terms of green purchase behavior in the EU countries and it did not depend on economic development significantly. The subjective norms and interaction of knowledge and confidence in green products significantly determined the green purchase behavior in all countries. According to the cross-culture studies, all cultural dimensions did not have significant influence on green purchase behavior. However, cultural dimensions are related to factors which directly influence green purchase behavior. Therefore, due to the process of the EU cultural convergence and economic crisis, it could have indirect impact on green purchase behavior. These findings have important implication for marketers and policy makers. © 2016 Elsevier B.V.

Mandravickaite J.,Baltic Institute of Advanced Technology | Rimkute E.,Vytautas Magnus University | Krilavicius T.,Vytautas Magnus University
Frontiers in Artificial Intelligence and Applications | Year: 2016

Identification of MultiWord Expressions (MWE) is one of the most challenging problems in Computer Linguistic and Natural Language Processing. A number of techniques are used to solve this problem in different language, mostly English. However not all techniques and approaches can be directly transferred to Lithuanian. Hence, in this paper we experiment with automatic identification of bi-gram MWEs for Lithuanian, which is considered to be under-resourced in terms of lexical resources and availability or accuracy of special lexical tools (e.g., POS-taggers, parsers). We use a raw corpus and combination of lexical association measures and supervised machine learning, which was shown to perform well for English and some other languages. Using this approach we have reached 70.4% precision for identification of typical MWEs, 77.1% precision for non-typical MWEs as well as 60.0% and 81.6% precision for typical adjective + noun and noun + noun MWEs respectively. © 2016 The authors and IOS Press.

Mackute-Varoneckiene A.,Vytautas Magnus University | Krilavicius T.,Baltic Institute of Advanced Technology
Frontiers in Artificial Intelligence and Applications | Year: 2014

Unsupervised feature selection is very important in the document clustering process. This paper presents the empirical research on feature selection as well as clustering methods and feature representation suitability for Lithuanian and Russian document clustering. © 2014 The Authors and IOS Press.

Liobikiene G.,Vytautas Magnus University | Mandravickaite J.,Baltic Institute of Advanced Technology
Environment, Development and Sustainability | Year: 2013

The materially intensive consumption patterns and lifestyles present a major challenge to sustainability. The major part of consumption is determined in households; therefore, most of the environmental load is allocated to households as well. In order to examine how environmental impact by household consumption varies during the prosperous period, one needs to explore the alteration of household consumption structure, considering that discrete consumption expenditure categories influence environmental impact distinctly. Regarding that, alterations of household consumption expenditure structures are also partially influenced by European integration process. So convergence of new member states of the EU to the old ones by household consumption structure was analyzed. For estimation of occurrence and the extent of household consumption structure, X-convergence was applied. Therefore, the results showed that during the period of 1995-2007, the Czech Republic, Estonia, Lithuania and Slovenia were the most successful and Latvia with Poland achieved the least in converging toward the EU-15 consumption expenditure structure. According to evaluation of distinct consumption categories in relation to acidifying compounds and greenhouse gas emissions intensities, it was revealed that alterations of household consumption expenditure structure led to smaller levels of household environmental impact with the exception of Hungary. © 2012 Springer Science+Business Media B.V.

Karaliunas M.,Vilnius University | Karaliunas M.,Baltic Institute of Advanced Technology | Kuokstis E.,Vilnius University | Ting S.-Y.,National Taiwan University | And 2 more authors.
Journal of Applied Physics | Year: 2014

Temperature dependent photoluminescence (PL) of MgZnO epitaxial layers with high Mg content were studied to understand the effect of carrier localization on the PL dynamics, including the PL dependence on excitation power density and temperature. A double blueshift of the PL peak position with increase of measurement temperature was discovered. The blueshift took place at low as well as high temperature and could be attributed to the effect of carrier localization. It has been deduced that the randomly distributed carrier localization centers in the MgZnO films create two energy separated Gaussian-shape density-of-states tails in the vicinity of the fundamental band gap edge. Filling of these tail states by the thermally activated carriers with increase of temperature causes the temperature-induced double blueshift of the PL peak position. By analyzing the temperature dependent PL spectra, two parameters, σ and γ were extracted, which characterize the average energy depth distribution of the localizing potential field fluctuations. The value of these parameters were found to depend on the Mg content and crystalline structure of the MgZnO epitaxial layers. © 2014 AIP Publishing LLC.

Liobikiene G.,Vytautas Magnus University | Niaura A.,Vytautas Magnus University | Mandravickaite J.,Baltic Institute of Advanced Technology | Vabuolas Z.,Vilnius St. Joseph Seminary
European Journal of Science and Theology | Year: 2016

Religion is a significant social force that contributes in shaping environmental attitudes. The aim of this study is to analyse the religiosity impact on environmental attitude, concern, knowledge and behaviour, and to evaluate the main determinants of environmentally friendly behaviour. Results show that attitude of religious and practicing young Lithuanians is characterized as more ecocentric. The results also showed that the most significant determinants of environmentally friendly behaviour are environmental concern, new ecological paradigm (NEP), environmental action related and effectiveness knowledge. Thus it is important to stimulate people’s interest in environmental issues and to provide more information about environment. © 2016, Ecozone, OAIMDD. All rights reserved.

Uzupyt R.,Vytautas Magnus University | Krilavicius T.,Baltic Institute of Advanced Technology
9th International Conference on Electrical and Control Technologies, ECT 2014 | Year: 2014

Reliable methodology for service orders prediction can significantly improve the quality of business strategy. It is very important to identify the seasonal behavior in order data to correctly predict customer demand and make appropriate business decisions. There are several methods to model and forecast time series with seasonal pattern. This paper compares seasonal naive, Holt - Winters seasonal, SARIMA and neural networks methods in order to evaluate their performance in prediction of the future values of time series that consist of the monthly orders in a small IT company. © Kaunas University of Technology, 2014.

Petrauskas V.,Vilnius University | Gylyte J.,Vilnius University | Toleikis Z.,Copenhagen University | Cimmperman P.,Baltic Institute of Advanced Technology | Matulis D.,Vilnius University
European Biophysics Journal | Year: 2013

Volume changes that accompany protein unfolding and ligand binding are important but largely neglected thermodynamic parameters that may facilitate rational drug design. Here, we determined the volume of lead compound ICPD47 binding to an anticancer target, heat shock protein 90 N-terminal domain, using a pressure shift assay (PressureFluor). The ligand exhibited a stabilizing effect on the protein by increasing its melting pressure and temperature. The Gibbs free energy of unfolding depends on the absence or presence of ligand and has an elliptical shape. Ellipse size increases upon addition of the strongly binding ligand, which stabilizes the protein. The three-dimensional (3D) ellipsoidal surface of the Gibbs free energy of unfolding was calculated with increasing ligand concentrations. The negative volume of ligand binding was relatively large and significantly exceeded the volume of protein unfolding. The pressure shift assay technique could be used to determine the volume changes associated with both protein unfolding as well as ligand binding to protein. © 2013 European Biophysical Societies' Association.

Toleikis Z.,Vilnius University | Cimmperman P.,Vilnius University | Cimmperman P.,Baltic Institute of Advanced Technology | Petrauskas V.,Vilnius University | Matulis D.,Vilnius University
Analytical Biochemistry | Year: 2011

The volume changes accompanying ligand binding to proteins are thermodynamically important and could be used in the design of compounds with specific binding properties. Measuring the volumetric properties could yield as much information as the enthalpic properties of binding. Pressure-based methods are significantly more laborious than temperature methods and are underused. Here we present a pressure shift assay (PressureFluor, analogous to the ThermoFluor thermal shift assay) that uses high pressure to denature proteins. The PressureFluor method was used to study the ligand binding thermodynamics of heat shock protein 90 (Hsp90). Ligands stabilize the protein against pressure denaturation, similar to the stabilization against temperature denaturation. The equations that relate the ligand dosing, protein concentration, and binding constant with the volumes and compressibilities of unfolding and binding are presented. © 2011 Elsevier Inc. All rights reserved.

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