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A series of books for learning English on your own pace.
ALO Book 2 is part of a series of three books designed for learning English on your own pace.
ALO Book 3 is part of a series of three books for learning English on your own pace.
The release of diatomic species, in particular AlO, into the upper atmosphere at twilight results in luminous clouds that display the resonance electronic-vibrational rotational spectrum of the released species. The intensity distribution of the vibrational-rotational bands is temperature dependent. Assuming thermal equilibrium of the released species with ambient, the ambient temperature can be determined. Using the AlO molecular parameters, Franck-Condon factors, and the solar intensity in the upper atmosphere, the population of AlO in the vibrational and rotational levels and the relative band intensities are calculated, tabulated, and charted. These charts will be useful for upper atmosphere temperature measurements from AlO luminous clouds.
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The books (LNCS 6088 and 6089) constitute the refereed proceedings of the 7th European Semantic Web Conference, ESWC 2010, held in Heraklion, Crete, Greece, in May/June 2010. The 52 revised full papers of the research track presented together with 10 PhD symposium papers and 17 demo papers were carefully reviewed and selected from more than 245 submissions. The papers are organized in topical sections on mobility track, ontologies and reasoning track, semantic web in use track, sensor networks track (part I), and services and software track, social web track, web of data track, demo and poster track, PhD symposium (part II).
This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and unive...