Innovative approaches of regional policy of rural tourism development

The present work intends to study Rural Tourism. More specifically: regional policy of Rural Tourism development. Purpose of this research is creation of innovative qualitative model of regional policy of Rural Tourism development for Ukraine. With this aim literature review was made, developed a research methodology and analysis made. It was established a way of creation of qualitative model, based on studied information and scientific papers. Research methodology was described in next part. Decided to do it in three stages: (1) justification of analytical research; (2) data sample collection and analysis; (3) creating of innovative model of regional policy of Rural Tourism development. Each of these stages have sub stages supported by results of previous. In accordance to methodology, analytical part was made in two steps: (1) analysis of statistical information about rural houses availability; (2) analysis of resources needed for successfully Rural Tourism activity. This part gave information about placement of rural houses by geographical regions and defined most attractive geographical regions for Rural Tourism development. The results showed that the highest rural houses availability is in Western geographical region. Other regions have low level of rural houses availability. However, analysis of resources needed for successful Rural Tourism development showed, that all geographical regions are attractive for organizing Rural Tourism activity. Based on this information an innovative qualitative model of Rural Tourism development was created.

Evaluation of the conductor-like screening model for real solvents for the prediction of the water activity coefficient at infinite dilution in ionic liquids

Ionic liquids (ILs) have attracted great attention, from both industry and academia, as alternative fluids for very different types of applications. The large number of cations and anions allow a wide range of physical and chemical characteristics to be designed. However, the exhaustive measurement of all these systems is impractical, thus requiring the use of a predictive model for their study. In this work, the predictive capability of the conductor-like screening model for real solvents (COSMO-RS), a model based on unimolecular quantum chemistry calculations, was evaluated for the prediction water activity coefficient at infinite dilution, gamma(infinity)(w), in several classes of ILs. A critical evaluation of the experimental and predicted data using COSMO-RS was carried out. The global average relative deviation was found to be 27.2%, indicating that the model presents a satisfactory prediction ability to estimate gamma(infinity)(w) in a broad range of ILs. The results also showed that the basicity of the ILs anions plays an important role in their interaction with water, and it considerably determines the enthalpic behavior of the binary mixtures composed by Its and water. Concerning the cation effect, it is possible to state that generally gamma(infinity)(w) increases with the cation size, but it is shown that the cation-anion interaction strength is also important and is strongly correlated to the anion ability to interact with water. The results here reported are relevant in the understanding of ILs-water interactions and the impact of the various structural features of its on the gamma(infinity)(w) as these allow the development of guidelines for the choice of the most suitable lLs with enhanced interaction with water.