Tourism curriculum in the University Sector: Does it meet future requirements? Evidence from Australia

In the contemporary competitive and globally connected marketplace, factors that guaranteed business success in the past may be of limited relevance in the future. Within the paradigms of today’s business, many successful operators continually introduce new products and services to maintain their market leadership position. Whilst firms in the tourism industry seek to maintain competitive position through policy planning, strategic marketing, budgeting and R&D, tourism education providers occupy a key position by seeking to enhance the skill levels of management and employees, both present and future. This paper reviews some Australian tourism and hospitality education programmes and course curriculum and briefly compares them with some trends in other English-speaking countries. The research explores tourism industry demand, trainees’ expectations and additionally identifies gaps and opportunities for the future curriculum content. The findings may, therefore, assist tourism programme providers with a broader perspective with which to shape future tourism courses

Deepening China-Taiwan Relations through the Economic Cooperation Framework Agreement

On June 13, 2010, representatives from China and Taiwan held a third round of talks in Beijing on an Economic Cooperation Framework Agreement (ECFA) that would liberalize important aspects of cross-Strait economic relations. It is clear from available details that ECFA will be an ambitious accord that fundamentally changes the game between Taiwan and China and hence affects the regional economy and even the transpacific tempo for the United States. Rosen and Wang's economic projections of the effects of a China-Taiwan ECFA point to significant benefits of cross-Strait economic reform, especially for Taiwan, which would increase its 2020 GDP by about 4.5 percent, or $21 billion, from the current trend line. The authors, however, also conclude that the regional economy around China and Taiwan is not standing still but is extraordinarily dynamic. Other agreements in the region will be negotiated (e.g., ASEAN+3), which will impose costs on Taiwan, if it does not do an ECFA, to the tune of almost -0.8 percent of GDP. So the net effect of ECFA for Taiwan would be some 5.3 percent improvement in GDP by 2020. For China, the net results of ECFA are positive, though far less so than for Taiwan in value terms and of course as a share of GDP. For the United States, the authors project a very modest positive result from ECFA (though statistically marginal) but a more negative impact as the scenarios incorporating further Asian integration (ASEAN + 3) unfold. If the US objective is to maximize Taiwan's economic prospects and hence its freedom of independent action, then ECFA is highly desirable, and Taiwan's involvement in further Asian deepening is to be supported. However, US economic interests per se erode as Asia draws tighter together without US inclusion. That is an econometric reality. More significant still is the geoeconomic, qualitative implication of even long-standing nemeses China and Taiwan drawing together in a free trade pact while the United States watches, unable to ratify already negotiated Asian trade agreements like the US-Korea free trade agreement. While modest in global economic effects, the geoeconomic implications of a China-Taiwan economic pact are significant enough to demand strategic attention from the United States and underscore the importance of securing US economic engagement of the first order in Asia.

Spatial-Spectral Joint Detection for Wideband Spectrum Sensing in Cognitive Radio Networks

Spectrum sensing is an essential functionality that enables cognitive radios to detect spectral holes and opportunistically use under-utilized frequency bands without causing harmful interference to primary networks. Since individual cognitive radios might not be able to reliably detect weak primary signals due to channel fading/shadowing, this paper proposes a cooperative wideband spectrum sensing scheme, referred to as spatial-spectral joint detection, which is based on a linear combination of the local statistics from spatially distributed multiple cognitive radios. The cooperative sensing problem is formulated into an optimization problem, for which suboptimal but efficient solutions can be obtained through mathematical transformation under practical conditions.Comment: To appear in the Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, March 30-April 4, 200

Wideband Spectrum Sensing in Cognitive Radio Networks

Spectrum sensing is an essential enabling functionality for cognitive radio networks to detect spectrum holes and opportunistically use the under-utilized frequency bands without causing harmful interference to legacy networks. This paper introduces a novel wideband spectrum sensing technique, called multiband joint detection, which jointly detects the signal energy levels over multiple frequency bands rather than consider one band at a time. The proposed strategy is efficient in improving the dynamic spectrum utilization and reducing interference to the primary users. The spectrum sensing problem is formulated as a class of optimization problems in interference limited cognitive radio networks. By exploiting the hidden convexity in the seemingly non-convex problem formulations, optimal solutions for multiband joint detection are obtained under practical conditions. Simulation results show that the proposed spectrum sensing schemes can considerably improve the system performance. This paper establishes important principles for the design of wideband spectrum sensing algorithms in cognitive radio networks

Some new applications for heat and fluid flows via fractional derivatives without singular kernel

This paper addresses the mathematical models for the heat-conduction equations and the Navier-Stokes equations via fractional derivatives without singular kernel.Comment: This is a preprint of a paper whose final and definite form will be published in Thermal Science. Paper Submitted 28/ Dec /2016; Revised 20/Jan/2016; Accepted for publication 21/Jan/201

Is the σ\sigma meson dynamically generated?

We study the problem whether the $\sigma$ meson is generated `dynamically'. A pedagogical analysis on the toy O(N) linear sigma model is performed and we find that the large $N_c$ limit and the $m_\sigma\to \infty$ limit does not commute. The sigma meson may not necessarily be described as a dynamically generated resonance. On the contrary, the sigma meson may be more appropriately described by considering it as an explicit degree of freedom in the effective lagrangian.Comment: Contribution to ``Quark Confinement and Hadron Spectrum VII'', 2--7 Sept. 2006, Ponta Delgada, Acores, Portuga

Spectrum sensing by cognitive radios at very low SNR

Spectrum sensing is one of the enabling functionalities for cognitive radio (CR) systems to operate in the spectrum white space. To protect the primary incumbent users from interference, the CR is required to detect incumbent signals at very low signal-to-noise ratio (SNR). In this paper, we present a spectrum sensing technique based on correlating spectra for detection of television (TV) broadcasting signals. The basic strategy is to correlate the periodogram of the received signal with the a priori known spectral features of the primary signal. We show that according to the Neyman-Pearson criterion, this spectral correlation-based sensing technique is asymptotically optimal at very low SNR and with a large sensing time. From the system design perspective, we analyze the effect of the spectral features on the spectrum sensing performance. Through the optimization analysis, we obtain useful insights on how to choose effective spectral features to achieve reliable sensing. Simulation results show that the proposed sensing technique can reliably detect analog and digital TV signals at SNR as low as -20 dB.Comment: IEEE Global Communications Conference 200

Tilt grain boundary instabilities in three dimensional lamellar patterns

We identify a finite wavenumber instability of a 90$^{\circ}$ tilt grain boundary in three dimensional lamellar phases which is absent in two dimensional configurations. Both a stability analysis of the slowly varying amplitude or envelope equation for the boundary, and a direct numerical solution of an order parameter model equation are presented. The instability mode involves two dimensional perturbations of the planar base boundary, and is suppressed for purely one dimensional perturbations. We find that both the most unstable wavenumbers and their growth rate increase with $\epsilon$, the dimensionless distance away from threshold of the lamellar phase.Comment: 11 pages, 7 figures, to be published in Phys. Rev.

Majority-vote model on hyperbolic lattices

We study the critical properties of a non-equilibrium statistical model, the majority-vote model, on heptagonal and dual heptagonal lattices. Such lattices have the special feature that they only can be embedded in negatively curved surfaces. We find, by using Monte Carlo simulations and finite-size analysis, that the critical exponents $1/\nu$, $\beta/\nu$ and $\gamma/\nu$ are different from those of the majority-vote model on regular lattices with periodic boundary condition, which belongs to the same universality class as the equilibrium Ising model. The exponents are also from those of the Ising model on a hyperbolic lattice. We argue that the disagreement is caused by the effective dimensionality of the hyperbolic lattices. By comparative studies, we find that the critical exponents of the majority-vote model on hyperbolic lattices satisfy the hyperscaling relation $2\beta/\nu+\gamma/\nu=D_{\mathrm{eff}}$, where $D_{\mathrm{eff}}$ is an effective dimension of the lattice. We also investigate the effect of boundary nodes on the ordering process of the model.Comment: 8 pages, 9 figure