Tourism of Polish cannabis consumers

The aim of this study is to characterize the tourism activity of Polish cannabis consumers in terms of (i) the level of their participation in tourism, (ii) parameters describing this participation, (iii) the effect of legal access to cannabis on choosing tourism destinations. The study is based on an anonymous online survey in which 886 voluntary respondents answered a series of questions about their tourist travels, their attitude to cannabis consumption, and their demographic, socio-economic and geographic metrics. Results of the survey were analyzed using several statistical indicators of variability, structure, correlation, and structure similarity. For the respondents declaring cannabis consumption, the level of their participation in tourism is close to the national level. Other parameters describing the domestic and foreign tourism of these respondents differ quite significantly from those reported for the general public of Poland. This indicates that the possibility of cannabis consumption significantly affects the nature and directions of travels undertaken by tourists interested in cannabis. Furthermore, there is a strong connection between the respondents’ personal preferences and the nature of their tourism, especially the destinations of their foreign trips. The conclusions from this study mostly apply to current and recent cannabis consumers because the vast majority of respondents (90%) rank among such kinds of cannabis users.

Jack D. Dunitz (1923–2021): a chemists’ crystallographer

Jack D. Dunitz (1923–2021) was Professor of Chemical Crystallography at the Swiss Federal Institute of Technology, Zurich. He received his degrees from Glasgow University, was at the ETH Zurich since 1957, and retired in 1990. His research interests included crystal structure analysis as a tool for solving chemical problems, polymorphism, solid state reactions, and a broad area of structural variations during chemical events under the umbrella term of structure correlation.

Hyperspectral Band Selection Based on Adaptive Neighborhood Grouping and Local Structure Correlation

Band selection is a direct and effective dimension reduction method and is one of the hotspots in hyperspectral remote sensing research. However, most of the methods ignore the orderliness and correlation of the selected bands and construct band subsets only according to the number of clustering centers desired by band sequencing. To address this issue, this article proposes a band selection method based on adaptive neighborhood grouping and local structure correlation (ANG-LSC). An adaptive subspace method is adopted to segment hyperspectral image cubes in space to avoid obtaining highly correlated subsets. Then, the product of local density and distance factor is utilized to sort each band and select the desired cluster center number. Finally, through the information entropy and correlation analysis of bands in different clusters, the most representative bands are selected from each cluster. Regarding evaluating the effectiveness of the proposed method, comparative experiments with the state-of-the-art methods are conducted on three public hyperspectral datasets. Experimental results demonstrate the superiority and robustness of ANG-LSC.

New graphane: inspiration from the structure correlation with phosphorene

The application of phosphorene and graphane in different photoelectric devices and energy reserves has attracted wide attention. Here, we investigated the Raman spectra, phonon dispersion and vibration modes of four...

Hydrogen Bond and Other Lewis Acid–Lewis Base Interactions as Preliminary Stages of Chemical Reactions

Various Lewis acid–Lewis base interactions are discussed as initiating chemical reactions and processes. For example, the hydrogen bond is often a preliminary stage of the proton transfer process or the tetrel and pnicogen bonds lead sometimes to the SN2 reactions. There are numerous characteristics of interactions being first stages of reactions; one can observe a meaningful electron charge transfer from the Lewis base unit to the Lewis acid; such interactions possess at least partly covalent character, one can mention other features. The results of different methods and approaches that are applied in numerous studies to describe the character of interactions are presented here. These are, for example, the results of the Quantum Theory of Atoms in Molecules, of the decomposition of the energy of interaction or of the structure-correlation method.