Can Performance of Indigenous Factors Influence Growth and Globalisation?"

This paper employs a total of thirty four openness factors and indigenous factors to construct two indicators for 62 world economies for the period 1998-2002. While most globalization studies concentrated on openness factors, regression estimates and simulation studies show that sound performance in indigenous factors are crucial to an economy’s growth and globalization. Empirical evidence shows that an optimal performance in indigenous factors can be identified, and that successful globalized economies are equipped with strong performance in their indigenous factors.Globalization; indigenous factors; openess; world economies

Photocatalytic activity of neodymium ion doped TiO?for 2- Mercaptobenzothiazole degradation under visible light irradiation

Author name used in this publication: F. B. LiAuthor name used in this publication: X. Z. LiAuthor name used in this publication: K. W. Cheah2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

A Web-based flood forecasting system for Shuangpai region

Author name used in this publication: K. W. ChauAuthor name used in this publication: Chun-Tian Cheng2005-2006 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Hydrologic uncertainty for Bayesian probabilistic forecasting model based on BP ANN

Author name used in this publication: Chun-tian ChengRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

River stage prediction based on a distributed support vector regression

Author name used in this publication: K. W. Chau2008-2009 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Modulation instabilities in two-core optical fibers

Modulation instability (MI) of cw states of a two-core fiber, incorporating the effects of coupling-coefficient dispersion (CCD), is studied by solving a pair of generalized, linearly coupled nonlinear Schrödinger equations. CCD refers to the property that the coupling coefficient depends on the optical wavelength, and earlier studies of MI do not account for this physics. CCD does not seriously affect the symmetric/antisymmetric cw, but can drastically modify the MI of the asymmetric state. Generally, new MI frequency bands are produced, and CCD reduces (enhances) the original MI band in the anomalous (normal) dispersion regime. Another remarkable result is the existence of a critical value for the CCD, where the MI gain spectrum undergoes an abrupt change. In the anomalous dispersion regime, a new low-frequency MI band is generated. In the normal dispersion regime, an MI band vanishes, reappears, and then moves up in frequency on crossing this critical value. In both dispersion regimes, the relative magnitude of the low-frequency band and the high-frequency band depends strongly on the total input power.It is possibleto switch the dominantMI frequency between a low frequency and a high frequency by tuning the total input power, providing a promising scheme to manipulate MI-related nonlinear effects in two-core fibers. The MI bands are independent of the third-order dispersion, but can be shifted significantly by self-steepening at a sufficiently high total input power. The evolution of MI from a cw input is also demonstrated with a wave propagation study. © 2011 Optical Society of America.published_or_final_versio

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

Author name used in this publication: K. W. Chau2009-2010 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Comparison of several flood forecasting models in Yangtze River

Author name used in this publication: K. W. Chau2005-2006 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Switching of ultrashort pulses in nonlinear high-birefringence two-core optical fibers

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Parallel resource co-allocation for the computational grid

Author name used in this publication: K. W. Chau2006-2007 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe