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A values-based approach embedded in the transformative tourism research paradigm is used to examine dementia-friendly outdoor and nature-based experiences. Interview and site audits were conducted to explore the visitor economy-nature-well-being nexus. Using thematic analysis, researchers set out to understand how organizational change can improve the visitor journey through values and actions that create an accessible visitor experience for people suffering from dementia. The findings show that while the current practice of providing events and tailored sessions for the local community is a good start, further development is needed; this paper offers selected pathways to becoming a dementia-friendly business, including the importance of an organizational champion and an accessible site and a nature-based experience or event that appeals to a wide audience. Theoretically, this work operationalizes transformative tourism and provides a framework for future work. [ABSTRACT FROM AUTHOR]

After complete spinal cord injury (SCI), activation during attempted movement of paralyzed limbs is sharply reduced, but after incomplete SCI-the more common form of human injury-it is unknown how attempts to move voluntarily are accompanied by activation of brain motor and sensory networks. Here, we assessed brain activation during ankle movement in subjects with incomplete SCI, among whom voluntary motor function is partially preserved. Adults with incomplete SCI (n = 20) and healthy controls (n = 15) underwent functional magnetic resonance imaging that alternated rest with 0.3-Hz right ankle dorsiflexion. In both subject groups, ankle movement was associated with bilateral activation of primary and secondary sensory and motor areas, with significantly (p

Within urban and tourism studies, although much research has focused on uneven city prosperity and competitiveness, little is known about factors influencing seaside town economic performance. We adopt a place-based approach to understand its determinants amongst 58 of England's largest seaside towns drawing on a bespoke database. Through Partial Least Square analysis, Spearman's Rank Correlation and general linear regression modelling for panel data with random effects, we identify the 'leaders' and 'laggers' along with a set of associated socio-economic characteristics. These insights enhance understanding of how and why economic performance differs amongst these towns. We highlight implications for addressing such socio-economic disparities across seaside towns, which has wider destination relevance, and use these findings to inform policy which seeks to raise the productivity potential of 'lagging' towns. [ABSTRACT FROM AUTHOR]