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The currently used methods for assessing the therapeutic response to antimalarial drugs are relatively imprecise and insensitive. These methods are inadequate in severe malaria when the objectives of treatment are to save life and prevent complications. Very large studies are needed to demonstrate significant differences in mortality, but measurement of the rates of clinical, biochemical, and parasitological response may provide useful comparative information. Definitions, assessment criteria, procedures, and data collection forms should be standardized and evaluated prospectively. Antimalarial drug treatment in different clinical situations should be assessed in terms of the balance between the risks of drug toxicity and the benefits of the antimalarial drug action. This balance is considerably different in severe falciparum malaria compared with uncomplicated malaria infections.
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No abstract is provided for this article.
Long-term studies of individuals enable incisive investigations of questions across ecology and evolution. Here, we illustrate this claim by reference to our long-term study of red deer on the Isle of Rum, Scotland. This project has established many of the characteristics of social organization, selection, and population ecology typical of large, polygynous, seasonally breeding mammals, with wider implications for our understanding of sexual selection and the evolution of sex differences, as well as for their population dynamics and population management. As molecular genetic techniques have developed, the project has pivoted to investigate evolutionary genetic questions, also breaking new ground in this field. With ongoing advances in genomics and statistical approaches and the development of increasingly sophisticated ways to assay new phenotypic traits, the questions that long-term studies such as the red deer study can answer become both broader and ever more sophisticated. They also offer powerful means of understanding the effects of ongoing climate change on wild populations.
No abstract is provided for this article.
Extensive variation in life‐history patterns is documented across primate species. Variables included are gestation length, neonatal weight, litter size, age at weaning, age at sexual maturity, age at first breeding, longevity, and length of the estrous cycle. Species within genera and genera within subfamilies tend to be very similar on most measures, and about 85% of the variation remains when the subfamily is used as the level for statistical analysis. Variation in most life‐history measures is highly correlated with variation in body size, and differences in body size are associated with differences in behavior and ecology. Allometric relationships between life‐history variables and adult body weight are described; subfamily deviations from best‐fit lines do not reveal strong correlations with behavior or ecology. However, for their body size, some subfamilies show consistently fast development across life‐history stages while others are characteristically slow. One exception to the tendency for relative values to be positively correlated is brain growth: those primates with relatively large brains at birth have relatively less postnatal brain growth. Humans are a notable exception, with large brains at birth and high postnatal brain growth.