910 resultados para Classification of causes of death
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Principally exercises.
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Illustrations on V plates with iii pages of description inserted between p. 800 and 801.
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Mode of access: Internet.
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The verso of pl. v is p. [i] of the description of plates.
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Includes index.
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Thesis (Master's)--University of Washington, 2016-04
Counting the dead and what they died from: An assessment of the global status of cause of death data
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beta-turns are important topological motifs for biological recognition of proteins and peptides. Organic molecules that sample the side chain positions of beta-turns have shown broad binding capacity to multiple different receptors, for example benzodiazepines. beta-turns have traditionally been classified into various types based on the backbone dihedral angles (phi 2, psi 2, phi 3 and psi 3). Indeed, 57-68% of beta-turns are currently classified into 8 different backbone families (Type I, Type II, Type I', Type II', Type VIII, Type VIa1, Type VIa2 and Type VIb and Type IV which represents unclassified beta-turns). Although this classification of beta-turns has been useful, the resulting beta-turn types are not ideal for the design of beta-turn mimetics as they do not reflect topological features of the recognition elements, the side chains. To overcome this, we have extracted beta-turns from a data set of non-homologous and high-resolution protein crystal structures. The side chain positions, as defined by C-alpha-C-beta vectors, of these turns have been clustered using the kth nearest neighbor clustering and filtered nearest centroid sorting algorithms. Nine clusters were obtained that cluster 90% of the data, and the average intra-cluster RMSD of the four C-alpha-C-beta vectors is 0.36. The nine clusters therefore represent the topology of the side chain scaffold architecture of the vast majority of beta-turns. The mean structures of the nine clusters are useful for the development of beta-turn mimetics and as biological descriptors for focusing combinatorial chemistry towards biologically relevant topological space.
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There is a long history of research on children's understanding of death. This article briefly reviews psychoanalytic and Piagetian literature on children's death concepts, then focuses on recent research in developmental psychology that examines children's understanding of death in the context of their developing folk theory of biology. This new research demonstrates that children first conceptualise death as a biological event around age 5 or 6 years, at the same time that they begin to construct a biological model of how the human body functions to maintain life. This detailed new account of children's developing biological knowledge has implications for practitioners who may be called on to communicate about death with young children.