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Tourism in Coimbra today is influenced by the fact that the Univer(s)city was distinguished as a World Heritage Site in 2013. The number of visits has grown very significantly in recent years, but the diversification of the tourist offer is still weak and unable to take advantage of existing resources. This paper aims to present genealogy tourism as an alternative urban cultural tourism in Coimbra.

Methodology involved mapping the Jewish culture elements in the city of Coimbra, and a route was outlined and proposed.

Genealogy tourism resources are identified in the historic centre of the city. These alternative spaces need urban rehabilitation and (re)functionalisation, which allowed the authors to rethink tourism in Coimbra. They are the motivation to visit for all urban cultural tourists, especially Israelis/Jews, and provide contact with places where the experiences of ancestors combine with the history and memory of places, with recent discoveries and the elements of Jewish culture in the city.

It is concluded that the quantity, diversity, authenticity and singularity of the heritage resources that bear witness to the Jewish presence in Coimbra are sufficient assets to create a route, to enrich the tourist experience in the city and to include the destination in the Sephardic routes.

This paper aims to discern the potential dimensions amid the duality of heritage tourism and peace. Reflecting on the phases of destruction and rebuilding of Seated Buddha of Jahanabad, this study used the content analysis of 40 news sources, to unravel the resultant avenues of heritage tourism and peace.

Following the qualitative research strategy, the interface of NVivo 12 has been used to transcribe the textual and visual content of media news. The media news aired on the incident of destruction phase in 2007, and rebuilding drive in 2012–2016 were the two sets of collected data. A hierarchy of thematic analysis was adopted to identify nodes, subthemes and themes.

Findings of this study highlighted six themes: peaceful imagery, PI; heritage dissonance, HD, vs interfaith harmony, IH; peace allegory through restoration, PAR; precursor of heritage sustainability, PHS; community heritage consonance, CHC; and heritage touristic valuation, HTV.

This study lacks statistical data of the quantitative research domain. Aimed at a single heritage site, it analyzed limited number of news sources.

This study offers implications for industrial, theoretical, managerial and governmental stakeholders in their respective domains. Moreover, it also provides takeouts for common readers.

This study contends a significant research issue and analyzes the destruction and rebuilding of a heritage site in a developing country. Primarily in the sociogeographic context of the research issue, the resultant dimensions are novel and demanding.

This paper proposes an algorithm for the extraction of reduced order models of MEMS switches, based on using a physics aware simplification technique.

The reduced model is built progressively by increasing the complexity of the physical model. The approach starts with static analyses and continues with dynamic ones. Physical phenomena are introduced sequentially in the reduced model whose order is increased until accuracy, computed by assessing forces that are kept in the reduced model, is acceptable.

The technique is exemplified for RF-MEMS switches, but it can be extended for any device where physical phenomena can be included one by one, in a hierarchy of models. The extraction technique is based on analogies that are carried out for both the multiphysics and the full-wave electromagnetic phenomena and their couplings. In the final model, the multiphysics electromechanical phenomena is reduced to a system with lumped components with nonlinear elastic and damping forces, coupled with a system with distributed and lumped components which represents the reduced model of the RF electromagnetic phenomena.

Contrary to the order reduction by projection methods, this approach has the advantage that the simplified model can be easily understood, the equations and variables have significance for the user and the algorithm starts with a model of minimal order, which is increased until the approximation error is acceptable. The novelty of the proposed method is that, being tailored to a specific application, it is able to keep physical interpretation inside the reduced model. This is the reason why, the obtained model has an extremely low order, much lower than the one achievable with general state-of-the-art procedures.

Tourism and health outbreaks share a symbiotic history (Hall, Scott, & Gössling, 2020; Ozbay, Sariisik, Ceylan, & Çakmak, 2021). Pandemics, epidemics, and endemics have transformed the perception of tourists. Previous outbreaks were geographically limited, resulting in the substitution effect (Prideaux, 2005; van der Veen, 2014). However, the COVID-19 pandemic urged the authorities to cease mobility worldwide. Evidently, mobility-oriented businesses like tourism have received immediate impacts from the pandemic. From shutdown to the minimum clearances, under strict restrictions, the tourism industry suffered atypical outcomes. Heat check-meters, contactless check-ins and check-outs, automotive service trays and counters, and reduced carrying capacity have been introduced to curb the impact of the pandemic on tourism. Tourism requires, throughout its cycle—before, during, and after the trip—the use of artificial intelligence, virtual reality, augmented reality, the internet of things, and geotargeting (Buhalis & Amaranggana, 2015). The usage of technology has been assured to be compatible with the prerequisites of restrictive and compliance measures (Lau, 2020). Moreover, in the supply sector, a competitive environment has also been created to market these new modified products and services. This chapter pursues the investigation of new offerings in a different normal, concerned with health issues, ethical behaviors, and trips with a social purpose to contribute to local development. Secondary data analysis has been performed to achieve this goal. This study implicates the new offerings duly implemented during the new normal.

The purpose of this paper is to involve the differences in the entrepreneurial intentions of student at higher education institutions (HEIs) in the Portuguese regions (mainland and insular).

Applying a sample of 594 valid responses, the authors analyzed the data according to linear regression models.

The results convey how HEI students generally do not intend to become entrepreneurs in both the mainland and the insular regions. Although HEI students broadly do not aim to launch their own businesses, the results show that students in mainland regions feel they have the skills to start a business and drive it to success. In insular regions, students feel encouraged by their friends and family to set up their own business. When comparing insular and mainland regions, the results demonstrate how in insular regions, there is a greater probability that HEI students become entrepreneurs than in the mainland regions. Furthermore, entrepreneurial intentions in the mainland regions develop in terms of “opportunities” while driven by necessity in the insular regions.

This furthermore makes recommendations to regional governments and to HEIs in order to enable better encouragement of entrepreneurship in academia.

This study is original and innovative due to its comparison of the entrepreneurial intentions prevailing in mainland and insular regions and may propose new highlights to the academic scientific literature.

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended for regional development. However, regional development policies have led economies to very different competitive positions in matters of innovation. To address these issues, this paper aims to identify the variables that most contribute to the positioning of economies in terms of performance innovation in Europe.

The data for this study were collected at the regional innovation scoreboard. This paper uses a quantitative methodology through a multivariate statistical technique (discriminant analysis).

The results suggest that specific innovation strategies explain the competitive positioning of economies within each group of countries. It was possible to demonstrate that economies with leader classification show greater comparative robustness in the variables “Small and medium enterprise (SMEs) with product or process innovations,” “SMEs with product or process innovations,” “research and development (R&D) expenditure public sector” and “population with tertiary education,” constituting an effective instrument of innovation policy. Furthermore, it was possible to show that the economies belonging to the modest group do not have a competitive advantage in any of the variables under study, thus providing a reflection opportunity for policymakers at this level.

The present research identifies which variables are most relevant to the classification considering the regional innovation performance in leader, strong, moderate and modest. Several suggestions were given to companies, policymakers and higher education institutions in the sense that the regions where they operate can improve their innovative performance, which may help to a change in their current classification.

This study addresses the COVID-19 infection and its relationship with the city’s constructive intensity, commuting time to work and labor market dynamics during the lockdown period.

Microdata from formal workers in Recife was used to adjust a probability model for disease contraction.

The authors' results indicate that greater distance to employment increases the probability of infection. The same applies to constructive intensity, suggesting that residences in denser areas, such as apartments in buildings, condominiums and informal settlements, elevate the chances of contracting the disease. It is also observed that formal workers with completed higher education have lower infection risks, while healthcare professionals on the frontlines of combating the disease face higher risks than others. The lockdown effectively reduced contagion by limiting people’s mobility during the specified period.

The research shows important causal relationships, making it possible to think about public policies for the health of individuals both when commuting to work and in living conditions, aiming to control contagion by COVID-19.

The lockdown effectively reduced contagion by limiting people’s mobility during the specified period.

It is also observed that formal workers with completed higher education have lower infection risks, while healthcare professionals on the frontlines of combating the disease face higher risks than others.

The authors identified positive and significant relationships between these urban characteristics and increased contagion, controlling for neighborhood, individual characteristics, comorbidities, occupations and economic activities.