Promoting the Tourist Experience Economy in LEDCs Through Authentic Fair-Trade Handicrafts

The handicraft sector plays an important role in providing economic benefits of tourism to local communities. However, this sector is threatened by globalized supply chains. This conceptual chapter explores the synergistic value of linking the experience economy, creative tourism, and fair-trade principles to increase the benefits of the handicraft sector to local communities while supporting positive tourist experiences. The handicraft sector contributes to the livelihoods of marginalized members of the supply chain side of a destination by opening opportunities for adding value to their tangible products through co-created experiences. Furthermore, the creative potential allows tourists to create memories, connecting with producers in interesting and meaningful ways, when fair-trade principles are integrated as part of the tourist experience. To ensure a balanced synergy and active connection between experience economy, creative tourism, and fair-trade concepts, well-trained and skilled artists, art managers, and creative entrepreneurs are needed in tourist destinations.

Assessment of New Coronary Features on Quantitative Coronary Angiographic Images With Innovative Unsupervised Artificial Adaptive Systems: A Proof-of-Concept Study

Background and Purpose: The Active Connection Matrixes (ACMs) are unsupervised artificial adaptive systems able to extract from digital images features of interest (edges, tissue differentiation, etc.) unnoticeable with conventional systems. In this proof-of-concept study, we assessed the potentiality of ACMs to increase measurement precision of morphological structures (e.g., stenosis and lumen diameter) and to grasp morphological features (arterial walls) from quantitative coronary angiography (QCA), unnoticeable on the original images.Methods: Archive images of QCA and intravascular ultrasound (IVUS) of 10 patients (8 men, age 69.1 ± 9.7 years) who underwent both procedures for clinical reasons were retrospectively analyzed. Arterial features derived from “IVUS images,” “conventional QCA images,” and “ACM-reprocessed QCA images” were measured in 21 coronary segments. Portions of 1-mm length (263 for lumen and 526 for arterial walls) were head-to-head compared to assess quali-quantitative between-methods agreement.Results: When stenosis was calculated on “ACM-reprocessed QCA images,” the bias vs. IVUS (gold standard) did not improve, but the correlation coefficient of the QCA–IVUS relationship increased from 0.47 to 0.83. When IVUS-derived lumen diameters were compared with diameters obtained on ACM-reprocessed QCA images, the bias (−0.25 mm) was significantly smaller (p < 0.01) than that observed with original QCA images (0.58 mm). ACMs were also able to extract arterial wall features from QCA. The bias between the measures of arterial walls obtained with IVUS and ACMs, although significant (p < 0.01), was small [0.09 mm, 95% CI (0.03, 0.14)] and the correlation was fairly good (r = 0.63; p < 0.0001).Conclusions: This study provides proof of concept that ACMs increase the measurement precision of coronary lumen diameter and allow extracting from QCA images hidden features that mirror well the arterial walls derived by IVUS.