9 resultados para Cleavage Sites
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This paper reports a Scanning Electron Microscopy study of some samples from the leg 12, Deep Sea Drilling Project, sites 118 and 119. The chronostratigraphic distribution, the frequency of the species identified and the datation of the samples studied are presented. In accordance with the calcareous nannofossil zonation proposed by E. MARTINI (1971) the samples from site 118 are ascribed to the Upper Miocene while the samples from site 119 are located between the Lower (NN1) and the Upper Miocene (NN10).
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This paper reports a Scanning Electron Microscopy study of some samples from the leg 12, Deep Sea Drilling Project, sites 118 and 119. The chronostratigraphic distribution, the frequency of the species identified and the datation of the samples studied are presented. In accordance with the calcareous nannofossil zonation proposed by E. MARTINI (1971) the samples from site 118 are ascribed to the Upper Miocene while the samples from site 119 are located between the Lower (NN1) and the Upper Miocene (NN10).
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia do Ambiente, Perfil Gestão e Sistemas Ambientais
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Dissertation presented to obtain a Ph.D. degree in Sciences of Engineering and Technology, Cell Technology, at the Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa
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Dissertation presented to obtain the Doutoramento (Ph.D.) degree in Biochemistry at the Instituto de Tecnologia Qu mica e Biol ogica da Universidade Nova de Lisboa
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertação para obtenção do Grau de Doutor em Engenharia Civil
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DISSERTAÇÃO APRESENTADA PARA CUMPRIMENTO DOS REQUISITOS NECESSÁRIOS À OBTENÇÃO DO GRAU DE MESTRE EM (CIÊNCIAS DA COMUNICAÇÃO, VERTENTE DE CINEMA E TELEVISÃO),
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Throughout the brain, patterns of activity in postsynaptic neurons influence the properties of synaptic inputs. Such feedback regulation is central to neural network stability that underlies proper information processing and feature representation in the central nervous system. At the cellular level, tight coupling of presynaptic and postsynaptic function is fundamental to neural computation and synaptic plasticity. The cohort of protein complexes at the pre and postsynaptic membrane allows for tight synapse-specific segregation and integration of diverse molecular and electrical signals.(...)