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Unlike the other countries in the Paci c Rim discussed here, the thrust of Malaysia s focus on the biotech industry is primarily inwardly focused as a means of maintaining its status as a world leader in the oil palm, rubber, cocoa, and timber industries. In terms of infrastructure, although legalregulatory, intellectual property, and public attitude are rated as good, the most important elements, information technology, labor, and educa tion are only fair to poor. In particular, Malaysia lacks life scientists with advanced training as well as the educational infrastructure to pro

sparse grid is that of the usual 10 points per wavelength The dense grid ranges from 20 to higher number points per wavelength, depending on the relative permittivity of the lossy dielectric medium The method of PBTG is based on the following two observations: (1) Green's function of the lossy dielectric is attenuative, and (2) Green's function of free space is slowly varying on the dense grid Because of the Kramer-Kronig relation, a large real part of dielectric constant is associated with a large imaginary part The first property of the lossy dielectric gives a banded submatrix for the Green's function of the lossy dielectric When the Green's functions act on the surface field on the dense grid, it corresponds to the product of a sparse matrix with that of a column vector Thus the convolution of the lossy dielectric Green's function with surface fields is a spatial limited operation.

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The second property means that the convolution of the free space Green's functions with surface fields on the dense grid is a spatial frequency limited operation This allows us, when using the free space Green's function to act on the surface fields of the dense grid, to first average the values of surface unknowns on the dense grid and then place them on the coarse grid PBTG calculates surface field solutions on the dense grid It needs to be mentioned that PBTG is different from multigrid method [Donohue et al 1998, Briggs, 1987] The multigrid method tries to facilitate the convergence of iterations in iterative techniques It entails discretization of the structure into various grid sizes The coarse grid corresponds to the low-frequency portion of the solution, while the fine grid corresponds to that of the high-frequency solution.

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An iterative solution is obtained for each level of discretization, and the solutions are interpolated from the coarse grid to the fine grid The solution is first obtained in the coarse grid, and then one moves to the next level of fine grid Once the iterative solution is obtained in the fine grid, one has to go back to the coarse grid to refine the solution The present method of PBTG, on the other hand, is based on scattering physics The purpose of PBTG is to speed up the matrix-vector product of two Green's functions convolving with the surface fields on the dense grid We use two grids in PBTG: a dense grid and a coarse grid The interaction is divided into (1) a very near field of less than 1 wavelength, (2) a near field of between 1 wavelength and Td wavelengths, and (3) a nonnear-field beyond Td wavelengths.

In the numerical simulations performed in this section, T d is fixed at 10 wavelengths For very near-field interactions, we use a dense grid which is represented by four banded submatrices For near-field and non-near-field interactions, the free-space Green's function is slowly varying on the dense grid We average the fields on the dense grid to.

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