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Over the last decade, nanotechnology has been one of the fastest-growing areas of science and technology. The unique physico-chemical properties of various nanomaterials make it possible to create new structures, systems or devices with potential applications in a wide variety of disciplines. Presently, because of nanodimension of functional components of living cells, the application of nanotechnologies in biomedical purposes is inevitable. Zinc oxide (ZnO) possesses unique semiconducting, optical, and piezoelectric properties, so it has been investigated for a wide variety of applications. One of the most important features of ZnO nanomaterials is low toxicity and biodegradability. One of the most promising directions is to use zinc nanoparticles for molecular diagnostics, target delivery of drugs, developing new pharmaceutical preparations. The paper reports the synthesis, characterization of ZnO nanoparticles. Their location in the organism and role in important biological processes, which show the ways of possible practical applications of zinc nanoparticles in biomedicine are also discussed.

The data of student's academic performance is studied as the application of fuzzy-genetic(FG) approach. Discrete and continuous data interpretation are overviewed by the linguistic classes and then its representation over the fuzzy-genetic algorithm in this chapter. This dual method has the advantages are noticed as class-variable transformation, language-number generalisation and characteristic-operation simulation. Fuzzy-genetic algorithm is a tool to study the data over the representation of randomness to weight. Hence the data represents as the discrete classes by itself as the self-organized operator under the fuzzy-genetic technique