Portuguese category norms for children

This study presents Portuguese category norms for children of three different age groups: preschoolers (3- to 4-year-olds), second graders (7- to 8-year-olds), and preadolescents (11- to 12-year-olds). Three hundred Portuguese children (100 in each group) completed an exemplar-generation task. Preschoolers generated exemplars for 13 categories, second graders generated exemplars for 17 categories, and preadolescents generated exemplars for 21 categories. For each group, responses within each category were organized according to frequency of production in order to derive exemplar-production norms for sets of tested categories. The results also included information about the number of responses and exemplars, idiosyncratic and inappropriate responses, and commonality and diversity indexes for all the categories. A comparison of these children’s norms with the Portuguese adult norms was also presented. The full set of norms may be downloaded from www.psychonomic.org/archive

Traffic matrices: balancing measurements, inference and modeling

Traffic matrix estimation is well-studied, but in general has been treated simply as a statistical inference problem. In practice, however, network operators seeking traffic matrix information have a range of options available to them. Operators can measure traffic flows directly; they can perform partial flow measurement, and infer missing data using models; or they can perform no flow measurement and infer traffic matrices directly from link counts. The advent of practical flow measurement makes the study of these tradeoffs more important. In particular, an important question is whether judicious modeling, combined with partial flow measurement, can provide traffic matrix estimates that are signficantly better than previous methods at relatively low cost. In this paper we make a number of contributions toward answering this question. First, we provide a taxonomy of the kinds of models that may make use of partial flow measurement, based on the nature of the measurements used and the spatial, temporal, or spatio-temporal correlation exploited. We then evaluate estimation methods which use each kind of model. In the process we propose and evaluate new methods, and extensions to methods previously proposed. We show that, using such methods, small amounts of traffic flow measurements can have significant impacts on the accuracy of traffic matrix estimation, yielding results much better than previous approaches. We also show that different methods differ in their bias and variance properties, suggesting that different methods may be suited to different applications

Delineating Terminal Change in Subjective Well-Being and Subjective Health

The present study investigated whether several evaluative indicators of subjective well-being (SWB) and subjective health decline as death approaches and which of them shows a stronger decline. Using three-wave longitudinal data from deceased participants of the Cross-Sectional and Longitudinal Aging Study (N = 1,360; age range 75--94 at T1= Time 1), we found a stronger decline in most evaluative indicators when plotted by distance-to-death relative to distance from birth. After controlling for background characteristics and physical and cognitive functioning, death-related decline was still found for SWB but not for subjective health. Implications are discussed regarding the well-being paradox and the yet unclear mechanisms that link evaluative indicators to the dying process. Copyright 2009, Oxford University Press.

High Levels of Transmitted HIV Drug Resistance in a Study in Papua New Guinea

INTRODUCTION: Papua New Guinea is a Pacific Island nation of 7.3 million people with an estimated HIV prevalence of 0.8%. ART initiation and monitoring are guided by clinical staging and CD4 cell counts, when available. Little is known about levels of transmitted HIV drug resistance in recently infected individuals in Papua New Guinea. METHODS: Surveillance of transmitted HIV drug resistance in a total of 123 individuals recently infected with HIV and aged less than 30 years was implemented in Port Moresby (n = 62) and Mount Hagen (n = 61) during the period May 2013-April 2014. HIV drug resistance testing was performed using dried blood spots. Transmitted HIV drug resistance was defined by the presence of one or more drug resistance mutations as defined by the World Health Organization surveillance drug resistance mutations list. RESULTS: The prevalence of non-nucleoside reverse transcriptase inhibitor transmitted HIV drug resistance was 16.1% (95% CI 8.8%-27.4%) and 8.2% (95% CI 3.2%-18.2%) in Port Moresby and Mount Hagen, respectively. The prevalence of nucleoside reverse transcriptase inhibitor transmitted HIV drug resistance was 3.2% (95% CI 0.2%-11.7%) and 3.3% (95% CI 0.2%-11.8%) in Port Moresby and Mount Hagen, respectively. No protease inhibitor transmitted HIV drug resistance was observed. CONCLUSIONS: The level of non-nucleoside reverse transcriptase inhibitor drug resistance in antiretroviral drug naïve individuals recently infected with HIV in Port Moresby is amongst the highest reported globally. This alarming level of transmitted HIV drug resistance in a young sexually active population threatens to limit the on-going effective use of NNRTIs as a component of first-line ART in Papua New Guinea. To support the choice of nationally recommended first-line antiretroviral therapy, representative surveillance of HIV drug resistance among antiretroviral therapy initiators in Papua New Guinea should be urgently implemented