We present new, high-to-intermediate spectral resolution stellar population models, based on four popular libraries of empirical stellar spectra, namely Pickles, ELODIE, STELIB and MILES. These new models are the same as our previous models, but with higher resolution and based on empirical stellar spectra, while keeping other ingredients the same including the stellar energetics, the atmospheric parameters and the treatment of the Thermally-Pulsating Asymptotic Giant Branch and the Horizontal Branch morphology. We further compute very high resolution (R=20,000) models based on the theoretical stellar library MARCS which extends to the near-infrared. We therefore provide merged high resolution stellar population models, extending from ~1000 AA to 25,000 AA. We compare how these libraries perform in stellar population models and highlight spectral regions where discrepancies are found. We confirm our previous findings that the flux around the V-band is lower (in a normalised sense) in models based on empirical libraries than in those based on the BaSeL-Kurucz library, which results in a bluer B-V colour. Most noticeably the theoretical library MARCS gives results fully consistent with the empirical libraries. This same effect is also found in other models using MILES, namely Vazdekis et al. and Conroy & Gunn, even though the latter authors reach the opposite conclusion. The bluer predicted B-V colour (by 0.05 magnitudes in our models) is in better agreement with both the colours of Luminous Red Galaxies and globular cluster data. We test the models on their ability to reproduce, through full spectral fitting, the ages and metallicities of galactic globular clusters as derived from CMD fitting and find overall good agreement. {Abridged}Comment: 30 pages, 36 figures, Monthly Notices of the Royal Astronomical Society in pres

The FRA 2000 represented a major effort of the FAO Forestry Department, member countries, donors, partners and individual experts. Countries provided the basic data for the assessment in the form of technical reports and analyses. Many contributed staff to interpret satellite imagery and conduct technical work to assess forest and ecological conditions. Several countries donated to the assessment, including Austria,

A causal relationship among key critical success factors of successful entrepreneurs in Thailand is proposed. A new business innovation management model is established using data sampling of 250 successful entrepreneurs from various industry sectors in Thailand. The data were analyzed by performing mean, standard deviation calculations, factor analysis and causal factors affected by LISREL program. Quantitative results showed that the model is consistent with empirical data.

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