Abstract
Northwest Iberia can be considered as one of the main areas where tin was exploited in antiquity. However, the location of ancient tin mining and metallurgy, their date and the intensity of tin production are still largely uncertain. The scale of mining activity and its socio-economical context have not been truly assessed, nor its evolution over time. With the present study, we intend to present an integrated, multiscale, multisensor and interdisciplinary methodology to tackle this problem. The integration of airborne LiDAR and historic aerial imagery has enabled us to identify and map ancient tin mining remains on the Tinto valley (Viana do Castelo, northern Portugal). The combination with historic mining documentation and literature review allowed us to confirm the impact of modern mining and define the best-preserved ancient mining areas for further archaeological research. After data processing and mapping, subsequent ground-truthing involved field survey and geological sampling that confirmed cassiterite exploitation as the key feature of the mining works. This non-invasive approach is of importance for informing future research and management of these landscapes.

Abstract
This article studies the influence of digital marketing in consumers' making process regarding plant-based diet. The investigation was exploratory, and adopted a descriptive method, consisting of 11 face-to-face interviews and four focus groups with plant-based diet adopters and supporters. A non-probabilistic convenience sampling method was used to recruit participants. This study found that supporters differ from adopters of a plant-based diet regarding their concerns with certification and the difficulty in understanding labels.

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In this paper, we address a subtopic of the broad domain of audio enhancement, namely musical audio bandwidth extension. We formulate the bandwidth extension problem using deep neural networks, where a band-limited signal is provided as input to the network, with the goal of reconstructing a full-bandwidth output. Our main contribution centers on the impact of the choice of low-pass filter when training and subsequently testing the network. For two different state-of-the-art deep architectures, ResNet and U-Net, we demonstrate that when the training and testing filters are matched, improvements in signal-to-noise ratio (SNR) of up to 7 dB can be obtained. However, when these filters differ, the improvement falls considerably and under some training conditions results in a lower SNR than the band-limited input. To circumvent this apparent overfitting to filter shape, we propose a data augmentation strategy which utilizes multiple low-pass filters during training and leads to improved generalization to unseen filtering conditions at test time.

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This chapter builds on the main contributions in the literature that associate tourism with student mobility, particularly in Europe, positioning tourism both as a motivator and an enhancer of mobility’s success, namely by developing transversal skills and loyalty to the host destination (e.g. intention to return to the host destination for tourism or work and its recommendation to peers). A qualitative study was conducted with 32 exchange students that spent one or two semesters at the same Portuguese University by using focus groups for collecting participants’ views and experiences. Data was subject to thematic content analysis. Participants in this study agreed that they travel as much as they can during their mobility, being an essential part of their intercultural experience. Their narratives and dialogues evidenced that travelling contributes to developing transversal skills important for their self-awareness and for their future professional careers, such as time management, money management, and intercultural communication. © 2021, Springer Nature Switzerland AG.