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Together with the significant improvement in health and longevity came a number of health and economic concerns related to the demand for healthcare services and resources: changes in the patterns of health and illness, increasing amount and complexity of healthcare services demanded, rising health expenditures and uncertainty about whether there will be enough human, physical and financial resources to deliver the healthcare services needed. This paper aims to draw attention to the importance of planning the demand for healthcare in the aforementioned context, to create awareness of the need for a comprehensive study on the demand for healthcare services and resources and to propose an integrated approach for planning them, to inform managers and policy-makers on what can be the main challenges on assuring healthcare delivery in the future.

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This paper analyses the directions and causes of student migration in the information society at economic universities in Poland and Portugal. An international survey was conducted among students born between 1981 and 1995. The research included a group of 121 Polish and 55 Portuguese students. The conclusions of the study confirm the hypothesis that the place of residence/country of origin has a significant effect on the direction of migration. Furthermore, the causes of migration are largely dependent on the gender of the respondents and their professional status.

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This paper approaches the permanent struggle that less favoured regions must deal with regarding economic opportunities, job creation, income and regional production increase. Since an increased demand for nature and protected areas is taking place in a more and more urban society, some innovation potential is emerging. The study we have developed is focused on sustainable tourism practices in a specific natural area (Malcata Mountain Reserve), using electric mobility, which is known for its zero emission, no polluting and noise-free travelling. The broader study is carried out under the Interreg Funding Program in the Moveletur Project. Our aims are to promote a model of sustainable and clean tourism for visitors of natural areas, to create a network of green tourism itineraries connecting sites of natural and/or cultural value using electric vehicles and to empower tourism sector entrepreneurs with a new added-value service for their activity. Joint work with other natural areas is required to increase results. After the project is finished (by the end of 2018) there will be an improved knowledge about natural and cultural values that natural areas hold and that can be used for visitors’ enjoyment. There will be a more respectful way of ‘doing tourism’ in natural areas and hopefully it will address employment creation and improved territorial competitiveness. Finally, tourism experiences will have more quality and the project will promote smart villages’ further development by using technological components. © 2019, Springer International Publishing AG, part of Springer Nature.

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This article describes a comparison of two neural networks, the multilayer perceptron and Neural Network, for the detection and classification of pneumonia. The database used was the Chest-X-Ray data set provided by (Kermany et al., 2018) with a total of 5840 images, with two classes, normal and with pneumonia. to validate the models used, cross-validation of k-fold was used. The classification models were efficient, resulting in an average accuracy of 92.16% with the Multilayer Perceptron and 94.40% with the Convolution Neural Network.