The Social Role of Design on Collaborative Destination Branding: Creating a new journey, a new story for the Waterfall Way, New South Wales, Australia

This paper suggests that collaborative design can be an effective tool to promote social change. A co-design methodology and the results of its application in branding the Waterfall Way (New South Wales, Australia) as an eco- and nature-based tourism destination are presented as an example. The co-design exercise actively involved stakeholders in all stages of the design process, harnessing local tacit knowledge in relation to communication design, stimulating reflection upon what is special about the places, and consequently reinforcing a sense of belonging and the environmental and cultural conservation of place. The achieved results reflect the involvement and ownership of the community towards the design process. However, the application of a collaborative brand design methodology produced more than just a destination brand that is attractive to visitors, in line with local values, ways of living and the environment. It helped to catalyse a social network around tourism, triggering self-organising activity amongst stakeholders, who started to liaise with each other around the emergent regional identity - represented by the new brand they created together. The Waterfall Way branding process is a good example of social construction of shared understanding in and through design, showing that design exercises can have a significant social impact not only on the final product, but also on the realities of people involved in the process. Keywords: Destination Branding; Collaborative Process; Social Design; Self Organising Systems; Sustainable Tourism</p

Linear programming of a slate quarry

[Abstract] A new exploitation of roofing slate has several possibilities of marketing depending on the sizes of the pieces that it makes. Three sizes has been chosen among aH the possibilities in base of the conditions and the production of the rock in the quarry, the marketing limitation and the final price of the producto We've procces aH these data to obtain the optimun output, with the simplex algorithm. The objective function (week invoicing) and the restrictions of the problem are created in canonical and standard formo Optimun solution has been obtained among aH the basic and practical ones, using the graphic and the analytic method. Sorne conclusions come from the algorithm matrix about the outputs for each marketing option

Divisive Normalization from Wilson-Cowan Dynamics

Divisive Normalization and the Wilson-Cowan equations are influential models of neural interaction and saturation [Carandini and Heeger Nat.Rev.Neurosci. 2012; Wilson and Cowan Kybernetik 1973]. However, they have not been analytically related yet. In this work we show that Divisive Normalization can be obtained from the Wilson-Cowan model. Specifically, assuming that Divisive Normalization is the steady state solution of the Wilson-Cowan differential equation, we find that the kernel that controls neural interactions in Divisive Normalization depends on the Wilson-Cowan kernel but also has a signal-dependent contribution. A standard stability analysis of a Wilson-Cowan model with the parameters obtained from our relation shows that the Divisive Normalization solution is a stable node. This stability demonstrates the consistency of our steady state assumption, and is in line with the straightforward use of Divisive Normalization with time-varying stimuli. The proposed theory provides a physiological foundation (a relation to a dynamical network with fixed wiring among neurons) for the functional suggestions that have been done on the need of signal-dependent Divisive Normalization [e.g. in Coen-Cagli et al., PLoS Comp.Biol. 2012]. Moreover, this theory explains the modifications that had to be introduced ad-hoc in Gaussian kernels of Divisive Normalization in [Martinez et al. Front. Neurosci. 2019] to reproduce contrast responses. The proposed relation implies that the Wilson-Cowan dynamics also reproduces visual masking and subjective image distortion metrics, which up to now had been mainly explained via Divisive Normalization. Finally, this relation allows to apply to Divisive Normalization the methods which up to now had been developed for dynamical systems such as Wilson-Cowan networks

Estimation of the mechanical properties of the eye through the study of its vibrational modes

Measuring the eye's mechanical properties in vivo and with minimally invasive techniques can be the key for individualized solutions to a number of eye pathologies. The development of such techniques largely relies on a computational modelling of the eyeball and, it optimally requires the synergic interplay between experimentation and numerical simulation. In Astrophysics and Geophysics the remote measurement of structural properties of the systems of their realm is performed on the basis of (helio-)seismic techniques. As a biomechanical system, the eyeball possesses normal vibrational modes encompassing rich information about its structure and mechanical properties. However, the integral analysis of the eyeball vibrational modes has not been performed yet. Here we develop a new finite difference method to compute both the spheroidal and, specially, the toroidal eigenfrequencies of the human eye. Using this numerical model, we show that the vibrational eigenfrequencies of the human eye fall in the interval 100 Hz - 10 MHz. We find that compressible vibrational modes may release a trace on high frequency changes of the intraocular pressure, while incompressible normal modes could be registered analyzing the scattering pattern that the motions of the vitreous humour leave on the retina. Existing contact lenses with embebed devices operating at high sampling frequency could be used to register the microfluctuations of the eyeball shape we obtain. We advance that an inverse problem to obtain the mechanical properties of a given eye (e.g., Young's modulus, Poisson ratio) measuring its normal frequencies is doable. These measurements can be done using non-invasive techniques, opening very interesting perspectives to estimate the mechanical properties of eyes in vivo. Future research might relate various ocular pathologies with anomalies in measured vibrational frequencies of the eye.Comment: Published in PLoS ONE as Open Access Research Article. 17 pages, 5 color figure

A Multi-Resolution Preconditioner for Non-Conformal Meshes in the MoM Solution of Large Multi-Scale Structures

The article presents a multi-resolution (MR) preconditioner able to improve the solution convergence, via the method of moments (MoM) and the multilevel fast multipole algorithm (MLFMA), in the case of nonconformal meshes applying the multi-branch Rao–Wilton–Glisson (MB-RWG) basis functions. The proposed preconditioner enables, for the first time, an automatic multilevel quasi-Helmholtz decomposition on nonconforming meshes, including also the generation of the topological (global) loop functions. Moreover, the generation of the proposed preconditioning scheme is fully parallelized in a multicore shared-memory environment. Numerical results show the great flexibility of this approach for the solution of electrically large multiscale objects including h-refinement discretizations

A non-conformal multi-resolution preconditioner in the MoM solution of large multi-scale structures

The extension of the surface integral equations (SIEs) [1] to non-conforming meshes has ignited intense research in the last years with the goal of finding a versatile and accurate method to address large and multi-scale complex problems, greatly simplifying computer-aided-design (CAD) generation and meshing processes