952 resultados para national average


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INTRODUCTION: The current study aimed to describe the relational and reproductive trajectories leading to adolescent pregnancy in Portugal, and to explore whether there were differences in this process according to adolescents' place of residence. MATERIAL AND METHODS: Data were collected between 2008 and 2013 in 42 public health services using a self-report questionnaire developed by the researchers. The sample consisted of a nationally representative group of pregnant adolescents (n = 459). RESULTS: Regardless of having had one (59.91%) or multiple sexual partners (40.09%), the majority of adolescents became pregnant in a romantic relationship, using contraception at the time of the conception and knowing the contraceptive failure which led to pregnancy (39.22%). In some regions other trajectories were highly prevalent, reflecting options such as planning the pregnancy (Alentejo Region/ Azores Islands), not using contraception (Centro Region/Madeira Islands) or using it incorrectly, without identifying the contraceptive failure (Madeira Islands). On average, romantic relationships were longer than 19 months and adolescents' partners were older than themselves (> 4 years) and no longer in school (75.16%); these results were particularly significant when the pregnancy was planned. DISCUSSION: The knowledge gained in this study shows that prevention efforts must be targeted according to the adolescents' needs in each region and should include high-risk male groups. CONCLUSION: Our results may enable more efficient health policies to prevent adolescent pregnancy in different country regions and support educators and health care providers on sexual education and family planning efforts.

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The technique of delineating Populus tremuloides (Michx.) clonal colonies based on morphology and phenology has been utilized in many studies and forestry applications since the 1950s. Recently, the availability and robustness of molecular markers has challenged the validity of such approaches for accurate clonal identification. However, genetically sampling an entire stand is largely impractical or impossible. For that reason, it is often necessary to delineate putative genet boundaries for a more selective approach when genetically analyzing a clonal population. Here I re-evaluated the usefulness of phenotypic delineation by: (1) genetically identifying clonal colonies using nuclear microsatellite markers, (2) assessing phenotypic inter- and intraclonal agreement, and (3) determining the accuracy of visible characters to correctly assign ramets to their respective genets. The long-term soil productivity study plot 28 was chosen for analysis and is located in the Ottawa National Forest, MI (46° 37'60.0" N, 89° 12'42.7" W). In total, 32 genets were identified from 181 stems using seven microsatellite markers. The average genet size was 5.5 ramets and six of the largest were selected for phenotypic analyses. Phenotypic analyses included budbreak timing, DBH, bark thickness, bark color or brightness, leaf senescence, leaf serrations, and leaf length ratio. All phenotypic characters, except for DBH, were useful for the analysis of inter- and intraclonal variation and phenotypic delineation. Generally, phenotypic expression was related to genotype with multiple response permutation procedure (MRPP) intraclonal distance values ranging from 0.148 and 0.427 and an observed MRPP delta value=0.221 when the expected delta=0.5. The phenotypic traits, though, overlapped significantly among some clones. When stems were assigned into phenotypic groups, six phenotypic groups were identified with each group containing a dominant genotype or clonal colony. All phenotypic groups contained stems from at least two clonal colonies and no clonal colony was entirely contained within one phenotypic group. These results demonstrate that phenotype varies with genotype and stand clonality can be determined using phenotypic characters, but phenotypic delineation is less precise. I therefore recommend that some genetic identification follow any phenotypic delineation. The amount of genetic identification required for clonal confirmation is likely to vary based on stand and environmental conditions. Further analysis, however, is needed to test these findings in other forest stands and populations.

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Solar resource assessment is essential for the different phases of solar energy projects, such as preliminary design engineering, financing including due diligence and, later, insurance phases. An important aspect is the long term resource estimation. This kind of estimation can only be obtained through the statistical analysis of long-term data series of solar radiation measurements, preferably ground measurements. This paper is a first step in this direction, with an initial statistical analysis performed over the radiation data from a national measurement network, consisting of eighty-nine meteorological stations. These preliminary results are presented in figures that represent the annual average values of Global Horizontal Irradiation (GHI) and its Variability in the Portuguese continental territory. These results show that the South of Portugal is the most suitable area for the implementation of medium to large scale solar plants.

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In this study we examined the impact of weather variability and tides on the transmission of Barmah Forest virus (BFV) disease and developed a weather-based forecasting model for BFV disease in the Gladstone region, Australia. We used seasonal autoregressive integrated moving-average (SARIMA) models to determine the contribution of weather variables to BFV transmission after the time-series data of response and explanatory variables were made stationary through seasonal differencing. We obtained data on the monthly counts of BFV cases, weather variables (e.g., mean minimum and maximum temperature, total rainfall, and mean relative humidity), high and low tides, and the population size in the Gladstone region between January 1992 and December 2001 from the Queensland Department of Health, Australian Bureau of Meteorology, Queensland Department of Transport, and Australian Bureau of Statistics, respectively. The SARIMA model shows that the 5-month moving average of minimum temperature (β = 0.15, p-value < 0.001) was statistically significantly and positively associated with BFV disease, whereas high tide in the current month (β = −1.03, p-value = 0.04) was statistically significantly and inversely associated with it. However, no significant association was found for other variables. These results may be applied to forecast the occurrence of BFV disease and to use public health resources in BFV control and prevention.

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In this study, Lampert examines how cultural identities are constructed within fictional texts for young people written about the attacks on the Twin Towers. It identifi es three significant identity categories encoded in 9/11 books for children:ethnic identities, national identities, and heroic identities,arguing that the identities formed within the selected children’s texts are in flux, privileging performances of identities that are contingent on post-9/11 politics. Looking at texts including picture books, young adult fiction, and a selection of DC Comics, Lampert finds in post-9/11 children’s literature a co-mingling of xenophobia and tolerance; a binaried competition between good and evil and global harmony and national insularity; and a lauding of both the commonplace hero and the super-human. The shifting identities evident in texts that are being produced for children about 9/11 offer implicit and explicit accounts of what constitutes good citizenship, loyalty to nation and community, and desirable attributes in a Western post-9/11 context. This book makes an original contribution to the field of children’s literature by providing a focused and sustained analysis of how texts for children about 9/11 contribute to formations of identity in these complex times of cultural unease and global unrest.