Abstract
Introduction: Foreign languages are of vital importance in tourism today, particularly in rural tourism. If we consider that more than a third of the demand for TER in the national territory is made up of foreigners (INE, 2017), we understand the importance of foreign language skills. Moreover, the Portuguese quality standard of the TER states that promoters of the activity must have at least knowledge of a foreign language. If this is unquestionable, it is also true that in the universe of existing enterprises, several indications are that foreign language competence presents itself as a fragility for many enterprises. Objetives: Taking as a reference a rural tourism enterprise, the objective of this study is to explore the importance of foreign languages in the success of tourism activity in rural areas. Methods: In order to allow a deeper analysis, a case study methodology is used. In addition to a semi-structured interview, we use documentary information and the observation of the languages used in the online comments (in TRIPadvisor and booking.com). Results: In the interview the importance of foreign languages was highlighted. Many of the comments online are made in a foreign language. Conclusion: Competence in foreign languages is vital to the success of rural tourism. © 2019, Polytechnic Institute of Viseu. All rights reserved.

Abstract
Online booking services for accommodation have gained increasing importance in the tourist services provided by tour operators. However, one of the major difficulties associated with this process is the choice of payment method that may be appropriate to the needs and desires of tourists. In this sense, this study intends to identify the main dimensions that characterize each of the payment methods and, for each of them, seeks to characterize the tourists' perception of the main advantages and limitations associated with them. This study adopts a quantitative analysis methodology through the use of an online survey. A final sample of 238 responses was considered. The data were explored using Stata software and adopting statistical inference methods based on the analysis of variance. The findings allow us to conclude that cash payment is the payment method that simultaneously presents better availability and easiness. However, it is also the most insecure of the considered payment methods. For its part, the debit card is considered the safest method. This study didn't intend to analyze the evolution of these payment methods over time. Furthermore, other emerging payment methods such as NFC, QR codes, mobile wallets have gained recent relevance and may be interesting their inclusion in future studies. The results are mainly relevant for tourism agencies and demonstrate that tourists' perception is conditioned mainly by their age and the number of performed trips.

Abstract
Readability is determined by the characteristics of the text that influence their understanding. The web is composed of content on various topics and the results retrieved in the top positions by the main search engines are expected to be those with the highest number of views. In this study, we analyzed the readability of web pages according to the topic to which it belongs and their position in the search result. For that, we collected the top-20 results retrieved by Google to 23,779 queries from 20 topics and used several readability metrics. The results of the analysis showed that the content from organizations (like colleges and other institutions) and health-related content have lower readability values. Categories Games and Home are on the opposite side. For the categories identified as having less readability, tools can be developed that help the user understand their content. We also found that top-ranked pages have higher values of readability. One can conclude that, directly or indirectly, readability is a factor that seems to be being considered by the Google search engine or has an influence on page popularity.

Abstract
This paper proposes the use of nematic liquid crystals as tunable setups to implement optical analogues of physical systems and phenomena that are hard or even impossible to study experimentally under controlled conditions. Optical analogues share the same physical model with the systems that they emulate and can be understood as a form of physical simulations or optical computation. However, their success relies not only on the existence of media with optical properties capable of emulating the models associated with the original system as they interact with light, but also on the possibility of being able to tune those properties in order to cover the multitude of conditions or range of parameters. In particular, the Schrodinger-Newton model is a good target for this kind of studies as it can describe a plethora of different phenomena in physics and can be implemented in the laboratory using optical analogues, usually using thermo-optical materials. However, such materials have limitations, and in this work we propose nematic liquid crystals as a more advantageous alternative. We discuss how nematic liquid crystals can be used as a tunable support medium for optical analogues of superfluids by analyzing the dispersion relation of light under specific conditions and using numerical simulations based on GPGPU supercomputing to verify our findings. Extending on this, we explore more direct manifestations of superfluid effects in nematic liquid crystals, such as drag-force cancellation in the superfluid regime and the possibility of creating a roton-minimum in the dispersion relation.

Abstract
A multi-objective wind farm integration framework is proposed in this paper which considers the composite generation and reliability assessment and annualized operating and investment cost evaluation. An emission-controlled policy is adopted such that the amount of SOx and NOx decreases in line with renewable resource planning. Since the incorporation of large-scale distant wind farms is a problem of the multi-objective mixed-integer type with nonlinearities and non-convexities, this paper utilizes a fast elicit multi-objective Non-dominated Sorting Genetic Algorithm II (NSGA II) by probabilistic indices. It is noted that the impacts of the unavailability of the transmission system are modeled employing DC Optimal Power Flow (OPF) based on the incidence matrix together with the static security evaluation. Furthermore, in order to assess the performance of the suggested approach, the model is implemented on the Roy Billinton Test System (RBTS). Afterwards, distant wind farms integration into Iran's South-West Regional Grid (ISWRG) is studied. © 2019

Abstract
Mobility redefinition is essential in any City/Region, towards attaining sustainable mobility in terms of the triple bottom line dimensions (economic, social and environmental). Therefore, it is urgent to improve and to create a more inclusive system towards enhancing public transport, based on population needs and using viable infrastructures and alternatives. Aiming to identify recent keys mobility systems, this paper presents an overview of various solutions adopted in public transports area, in some regions of the world with points in common with Alto Minho' Region and/or to the Region headquarters (Viana do Castelo). Furthermore, it is intended to identify and discuss those innovative combinations of transport modes currently employed, that could positively impact the Alto Minho Region transportation system. The overall assessment will support the definition of the main criteria to design a novel and efficient transport system, fully adapted to this region characteristics and population's needs. Thus, the purpose of this paper is to propose a viable and efficient public transport system that meets the region's sustainability requirements, along with the opportunity to involve the population, the transport companies and the different stakeholders, as well as the policy makers.