We revisit the role of attractions in liquids and apply these concepts to colloidal suspensions. Two means are used to investigate the structure; the pair correlation function and a recently developed topological method. The latter identifies structures topologically equivalent to ground state clusters formed by isolated groups of 5 ≤ m ≤ 13 particles, which are specific to the system under con...

Seeking to shift the discussion of the concept of authenticity in tourism scholarship from the dominant concern with tourist experiences to the more sociological problem of the processes of authentication of tourist attractions, we conceptualize two analytically distinct, but practically often intersecting, modes of authentication of attractions, “cool” and “hot”. Through a range of examples, w...

Morphogenesis, spontaneous formation of organism structure, is essential for life. In the pancreas, endocrine α, β, and δ cells are clustered to form islets of Langerhans, the critical micro-organ for glucose homeostasis. The spatial organization of endocrine cells in islets looks different between species. Based on the three-dimensional positions of individual cells in islets, we computational...

Tourist attractions are regarded as a key component of the tourism market and an important element in the tourism system, for they stimulate interest in travelling to a destination and provide people visiting these sites with satisfaction. They are magnets which attract tourists to a region, while at the same time stimulating demand for other tourism services. In this paper evolution of the tou...

This article explores informal environmental education (EE) experiences at eco-attractions. A consortium of three UK-based environmental charities designed an eco-attraction-based EE program aiming to inspire responses to environmental change. Over six months, educators at six eco-attractions delivered this two-day program to 430 young people. This article conveys qualitative insights into lear...

In this work, we focus on the novel application of learning the diffusion dynamics of visitors among attractions at a large theme park using only aggregate information about waiting times at attractions. Main contributions include formulating optimisation models to compute diffusion dynamics. We also developed algorithm capable of dealing with noise in the data to populate parameters in the opt...