Visitor profiling for cable car mountain destinations as a basis for protected area management : a case study of the summer season in the Tatra Mountains at Kasprowy Wierch (Poland) and Skalnaté Pleso (Slovakia)

Protected areas play a crucial role in the conservation of vulnerable mountain ecosystems, but at the same time they may serve as tourist destinations and attract large numbers of visitors. Areas located in close proximity to cable cars belong to some of the most challenging sites for mountain protected area management. This study focuses on two cable car areas: Kasprowy Wierch (Tatra National Park, Poland) and Skalnaté Pleso (Tatra National Park, Slovakia). Both sites belong to the most heavily used leisure destinations in the Tatra Mountains. The study focused on the summer, snow-free tourist peak-season, for which there is an ongoing discussion concerning the development of cable car services. In 2014 and 2015, on-site interviews were conducted in the two study areas (n = 3 304). In order to better understand visitors’ needs and goals, visitor profiling using K-means clustering was performed. Four distinct segments based on visitor motivations were identified: nature oriented (32 %), family / friends & well-being oriented (23 %), sports oriented (14 %), and a mixed segment with multiple motivations (31 %). The results show that two tourist segments were not particularly interested in nature experience, although they visited protected areas. A significant relationship between motivational segments and trip characteristics was identified. The visitor segments defined can be used practically in the management of cable car destinations located within protected areas

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

State-of-the-art models can perform well in controlled environments, but they often struggle when presented with out-of-distribution (OOD) examples, making OOD detection a critical component of NLP systems. In this paper, we focus on highlighting the limitations of existing approaches to OOD detection in NLP. Specifically, we evaluated eight OOD detection methods that are easily integrable into existing NLP systems and require no additional OOD data or model modifications. One of our contributions is providing a well-structured research environment that allows for full reproducibility of the results. Additionally, our analysis shows that existing OOD detection methods for NLP tasks are not yet sufficiently sensitive to capture all samples characterized by various types of distributional shifts. Particularly challenging testing scenarios arise in cases of background shift and randomly shuffled word order within in domain texts. This highlights the need for future work to develop more effective OOD detection approaches for the NLP problems, and our work provides a well-defined foundation for further research in this area.Comment: 11 pages, 3 figures, Association for Computational Linguistic

(Bio)degradable polymeric materials for sustainable future—Part 3: Degradation studies of the PHA/wood flour-based composites and preliminary tests of antimicrobial activity

© 2020 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/ma13092200The need for a cost reduction of the materials derived from (bio)degradable polymers forces research development into the formation of biocomposites with cheaper fillers. As additives can be made using the post-consumer wood, generated during wood products processing, re-use of recycled waste materials in the production of biocomposites can be an environmentally friendly way to minimalize and/or utilize the amount of the solid waste. Also, bioactive materials, which possess small amounts of antimicrobial additives belong to a very attractive packaging industry solution. This paper presents a study into the biodegradation, under laboratory composting conditions, of the composites that consist of poly[(R)-3-hydroxybutyrate-co-4-hydroxybutyrate)] and wood flour as a polymer matrix and natural filler, respectively. Thermogravimetric analysis, differential scanning calorimetry and scanning electron microscopy were used to evaluate the degradation progress of the obtained composites with different amounts of wood flour. The degradation products were characterized by multistage electrospray ionization mass spectrometry. Also, preliminary tests of the antimicrobial activity of selected materials with the addition of nisin were performed. The obtained results suggest that the different amount of filler has a significant influence on the degradation profile.Published onlin

Slovakia in the Euro area : costs and benefits

PURPOSE: Examine Slovakia’s path to the euro area, the related costs and benefits, and possible implications for Poland.DESIGN/METHODOLOGY/APPROACH: A critical review of literature on optimum currency areas and costs and benefits of joining a monetary union. Statistical analysis and econometric modelling are applied as well. An econometric model is constructed and estimated with the least-squares method (LSM). The results of the model estimation are analysed.FINDINGS: The analysis of the model estimation results suggests joining the euro area has had a significant positive effect on economic growth in Slovakia. The EUR variable has a statistically significant and quite considerable impact on GDP fluctuations in Slovakia in the period studied. The following conclusions can be posited, therefore: joining a monetary union is greatly recommended to such a small, highly open economy with an uncompetitive currency, although Slovakia joined the full Economic and Monetary Union at an unfortunate time of a financial and fiscal crisis. The pandemic crisis also had some adverse effect on the cost-benefit relation of the euro area membership. It seems, however, Slovakia has managed to gain some measurable positive effects of its joining the euro area and the benefits can be seen as outweighing the costs.PRACTICAL IMPLICATIONS: The results may serve to analyse costs and benefits of a small, open economy joining an economic and currency union and to choose an appropriate moment for such an operation. The study can be of use to researchers and political decision-makers.ORIGINALITY/VALUE: The paper raises an original problem of a small, open economy and its path to the membership of a currency union. It’s a contribution to the theory of economic and monetary unions which identifies the costs and benefits of joining a currency union using the example of Slovakia.peer-reviewe

Influence of the tie reinforcement on the development of a collapse caused by the failure of an edge column in RC flat slab system

RC flat slabs are one of the most popular and effective methods of shaping plates in buildings. Although failures of entire structures are relatively rare, they cannot be excluded from the occupancy cycle of the facility. The research analysis presented in this paper is an attempt to understand more precisely the phenomena that occur in the RC flat slab system and to assess the influence of the additional protection of the flat slabs against progressive collapse in the case of failure of one of the supports. The results were obtained from destructive experimental investigations of a flat reinforced concrete slab made in scale 1:3. The collapse in the analysed model was simulated by removing three edge columns and additional loading by means of hydraulic actuator. In place of the columns removed, differential tie reinforcement was applied. The results obtained confirm that the structure achieved a much higher ultimate load than the one resulting from the design calculations

Changes in the clinical characteristics of women with gestational diabetes mellitus : a retrospective decade-long single center analysis

Aims: Gestational diabetes mellitus (GDM) is an emerging worldwide problem. Changes in clinical characteristics of women affected by GDM in a long-term perspective are still not properly investigated. We aimed to examine such changes over a decade in a retrospective single-center analysis. Methods: The medical documentation from Department of Metabolic Diseases, Krakow, Poland was analyzed. We included 633 women consecutively diagnosed with GDM in one of three time intervals: 2007-2008 (N = 157), 2012-2013 (N = 272), 2016-2017 (N = 234). Statistical analyses were performed. Results: Comparison of the three groups identified differences in the mean age of women at the GDM diagnosis (30.7 ± 5.0 years vs. 31.2 ± 4.7 vs. 32.5 ± 4.7, respectively, starting from the earliest 2007-2008 group), pregnancy week at GDM diagnosis (28.0 ± 5.3 wks. vs. 25.9 ± 4.9 vs. 23.4 ± 6.8), the proportion of women diagnosed before the 24th week of pregnancy (12.8% vs. 16.5% vs. 31.3%), and gestational weight gain (12.4 ± 5.0 kg vs. 10.4 ± 5.2 vs. 10.0 ± 5.7); (p = 0.001 or less for all comparisons). We also found differences for glucose values on fasting and at 2 hours with the highest (0 min) and lowest level (120 min) in the 2016–2017, respectively. Finally, a borderline difference for the weight, but not for BMI, was found (64.1 ± 14.1 kg vs. 66.2 ± 13.1 vs. 67.8 ± 15.6; p = 0.04). Differences were also identified in the post hoc analysis between cohorts. Conclusion: This retrospective analysis illustrates changes in characteristics of women with GDM occurring over the period of decade in Poland. They likely result from both epidemiological trends and modifications of the WHO criteria for the GDM diagnosis

Coexistence of Post-traumatic Growth and Post-traumatic Depreciation in the Aftermath of Trauma: Qualitative and Quantitative Narrative Analysis

Objectives: Post-traumatic growth (PTG) and post-traumatic depreciation (PTD) can be defined, respectively, as positive and negative changes in the aftermath of trauma. These changes can be assigned to the following domains: personal strength, relating to others, new possibilities, appreciation of life, spiritual and existential change. The aim of this study was to explore the possibility that positive and negative effects of trauma can coexist and explore the categories of effect.Methods: 72 participants were asked to recount their experience of trauma and answer questions about how it had affected their thinking about themselves and the world. Participants’ narratives were analyzed by competent judges and using Linguistic Inquiry and Word Count.Results: The domains in which positive changes were most frequently observed were Personal Strength (26.09%), Relating to Others (24.22%), and Appreciation of Life (21.12%). Negative changes mainly affected Relating to Others (33.33%) and Personal Strength (23.33%). The results were confirmed by quantitative analysis of narratives: participants’ narratives of trauma and its consequences contained more words which expressing positive emotions (1.67%) than negative emotions (0.90%), paired-sample t(60) = 9.70, p < 0.001. There were correlations between the frequency of words referring to positive emotions and PTG, r(62) = 0.39, p < 0.01, and between the frequency of words referring to negative emotions and PTG, r(62) = 0.23, p < 0.05.Conclusion: PTG and PTD can coexist and they can be regarded as outcomes of two separate processes. The study results also suggest that although PTG and PTD can coexist, they may be considered different domains of psychological functioning