949 resultados para 005.1


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A fusuline fauna consisting of 9 species of 4 genera from the Xiala Formation of the Mujiucuo section, Xainza County, Tibet, China is described. The fusuline fauna is dominated by Nankinella and Chusenella and indicates a Midian (Late Guadalupian) age. The earliest record of fusuline fauna during the Midian in the Lhasa Block suggests that the block rifted later than the Qiangtang Block to the north and the Baoshan and Tengchong blocks to the east, all of which yield much earlier fusuline faunas of Yakhtashian (Artinskian) age, but had drifted away from Gondwana to a relatively warm temperate zone in the Late Guadalupian (Middle Permian).

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Apresentamos a análise de diagramas cor-magnitude (CMDs) profundos para 5 aglomerados ricos da Grande Nuvem de Magalhães (LMC). Os dados fazem parte do projeto HST G07307, entitulado "Formação e Evolução de Aglomerados Estelares Ricos da LMC", e foram obtidos através do HST/WFPC2 nos filtros F555W (~ V) e F814W (~ I), alcançando V555~25. A amostra de aglomerados é composta por NGC 1805 e NGC 1818, os mais jovens (r < 100 Myr), NGC 1831e NGC 1868,de idades intermediárias (400 < r < 1000Myr), e Hodge 14, o mais velho (r > 1200Myr). Discutimos e apresentamos um método de correção dos CMDs para incompleteza da amostra e contaminação por estrelas de campo. O uso eficiente das informações contidas nos CMDs foi feito por meio de comparações entre os CMDs observados e CMDs modelados. O processo de modelamento de CMDs gera uma Seqüência Principal (MS) sintética, que utiliza como entrada do modelo a informação sobre idade (r), metalicidade (Z), Função de Massa do Presente (PDMF), fração de binárias não resolvidas, distância e extinção da luz. As incertezas fotométricas foram empiricamente determinadas a partir dos dados e incorporadas no modelamento. Técnicas estatísticas de comparação entre CMDs em 1D e 2D são apresentadas e aplicadas como métodos objetivos capazes de determinar a compatibilidade entre modelo e observação. Modelando os CMDs da região central dos aglomerados podemos inferir a metalicidade (Z), o módulo de distância intrínseco ((V - Mv)o) e o avermelhamento (E(B-V)) para cada aglomerado. Também determinamos as idades para os 3 aglomerados mais velhos de nossa amostra. Continuação) Através da comparação em 2D os valores encontrados foram os seguintes: para NGC 1805, Z = 0.007:1+-0.003, (V - Mv)o = 18.50:1+- 0.10, E(B - V) = 0.03:1+-0.01; para NGC 1818,Z = 0.005:1+-0.002, (V - Mv)o = 18.50:1+-0.15, E(B - V)~0.00; para NGC 1831, Z = 0.012:1+-0.002, log(r /yr) = 8.70 :I+-0.05, (V - Mv)o = 18.70:1+- 0.05, E(B - V)~ 0.00; para NGC 1868, Z = 0.008:1+-0.002,log(r/yr) =8.95:1+-0.05, (V - Mv)o = 18.70:1+- 0.05, E(B - V) ~0.00; para Hodge 14, Z = 0.008+-0.004, log(r/yr) = 9.23+-0.10, (V - Mv)o = 18.50+-0.15, E(B - V) = 0.02+- 0.02. Estes valores estão de acordo, dentro das incertezas, com os valores obtidos através da análise de linhas fiduciais (lD), o que agrega confiabilidade a estas determinações. Através da análise de CMDs em regiões concêntricas determinamos a dependência espacial da inclinação da PDMF (a) nos aglomerados mais ricos. Para tanto empregamos duas abordagens distintas para a determinação de a: 1) método tradicional em 1D via conversão direta de V555em massa; 2) método em 2D via modelmento de CMDs. Independente do método de análise, todos os aglomerados analisados demonstram claramente o efeito de segregação em massa. Além disso, NGC 1818, NGC 1831 e NGC 1868 apresentam uma possível perda seletiva de estrelas de baixa massa nas suas regiões mais externas.

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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INTRODUCTION: Depressive disorders (DDs) are very prevalent disorders particularly in women, a high-risk gender group. Determining the risk and protective factors associated with the development of DDs is fundamental to planning preventive and therapeutic strategies. In this study, we evaluated the correlations between healthy maternal attachment and the development of DDs in adulthood. METHODS: We evaluated 52 women at 6 months to 1 year after premature childbirth at Maternidade Vila Nova Cachoeirinha. They were evaluated using the following instruments: Brazilian Criteria of Economic Classification,Parental Bonding Inventory (PBI),Center for Epidemiologic Studies Depression Scale (CES-D), and Edinburgh Postnatal Depression Scale (EPDS). Cut-off scores on the CES-D and EPDS were used to classifythe subjects as currently having a DD or having probable postpartum disorder (PPD) after childbirth. Multiple logistic regression was used to evaluate the risk factors associated with DDs. RESULTS: We found that 49.1% of the sample had a current depressive episode, and 73.6% had probable PPD. Based on logistic regression, current depression (odds ratio = 1.092 [confidence interval: 1.005; 1.186]), and a PPD (odds ratio = 1.108 [confidence interval: 1.011; 1.21]) were negatively correlated with affective maternal relationships. CONCLUSIONS: Women who reported healthy attachment with their mothers did not develop DDs when faced with stressful situations such as premature childbirth.

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The article introduces the E-learning Circle, a tool developed to assure the quality of the software design process of e-learning systems, considering pedagogical principles as well as technology. The E-learning Circle consists of a number of concentric circles which are divided into three sectors. The content of the inner circles is based on pedagogical principles, while the outer circle specifies how the pedagogical principles may be implemented with technology. The circle’s centre is dedicated to the subject taught, ensuring focus on the specific subject’s properties. The three sectors represent the student, the teacher and the learning objectives. The strengths of the E-learning Circle are the compact presentation combined with the overview it provides, as well as the usefulness of a design tool dealing with complexity, providing a common language and embedding best practice. The E-learning Circle is not a prescriptive method, but is useful in several design models and processes. The article presents two projects where the E-learning Circle was used as a design tool.

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Informatik- und insbesondere Programmierunterricht sind heute ein wichtiger Bestandteil der schulischen Ausbildung. Vereinfachte Entwicklungsumgebungen, die auf die Abstraktion typischer Programmierkonzepte in Form von grafischen Bausteinen setzen, unterstützen diesen Trend. Zusätzliche Attraktivität wird durch die Verwendung exotischer Laufzeitumgebungen (z. B. Roboter) geschaffen. Die in diesem Paper vorgestellte Plattform “ScratchDrone” führt ergänzend zu diesen Angeboten eine moderne Flugdrohne als innovative Laufzeitumgebung für Scratch-Programme ein. Die Programmierung kann dabei dank modularer Systemarchitektur auf verschiedenen Abstraktionsebenen erfolgen, abhängig vom Lernfortschritt der Schüler. Kombiniert mit einem mehrstufigen didaktischen Modell, der Herausforderung der Bewegung im 3D-Raum sowie der natürlichen menschlichen Faszination für das Fliegen wird so eine hohe Lernmotivation bei jungen Programmieranfängern erreicht.

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Many studies have shown relationships between air pollution and the rate of hospital admissions for asthma. A few studies have controlled for age-specific effects by adding separate smoothing functions for each age group. However, it has not yet been reported whether air pollution effects are significantly different for different age groups. This lack of information is the motivation for this study, which tests the hypothesis that air pollution effects on asthmatic hospital admissions are significantly different by age groups. Each air pollutant's effect on asthmatic hospital admissions by age groups was estimated separately. In this study, daily time-series data for hospital admission rates from seven cities in Korea from June 1999 through 2003 were analyzed. The outcome variable, daily hospital admission rates for asthma, was related to five air pollutants which were used as the independent variables, namely particulate matter <10 micrometers (μm) in aerodynamic diameter (PM10), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2). Meteorological variables were considered as confounders. Admission data were divided into three age groups: children (<15 years of age), adults (ages 15-64), and elderly (≥ 65 years of age). The adult age group was considered to be the reference group for each city. In order to estimate age-specific air pollution effects, the analysis was separated into two stages. In the first stage, Generalized Additive Models (GAMs) with cubic spline for smoothing were applied to estimate the age-city-specific air pollution effects on asthmatic hospital admission rates by city and age group. In the second stage, the Bayesian Hierarchical Model with non-informative prior which has large variance was used to combine city-specific effects by age groups. The hypothesis test showed that the effects of PM10, CO and NO2 were significantly different by age groups. Assuming that the air pollution effect for adults is zero as a reference, age-specific air pollution effects were: -0.00154 (95% confidence interval(CI)= (-0.0030,-0.0001)) for children and 0.00126 (95% CI = (0.0006, 0.0019)) for the elderly for PM 10; -0.0195 (95% CI = (-0.0386,-0.0004)) for children for CO; and 0.00494 (95% CI = (0.0028, 0.0071)) for the elderly for NO2. Relative rates (RRs) were 1.008 (95% CI = (1.000-1.017)) in adults and 1.021 (95% CI = (1.012-1.030)) in the elderly for every 10 μg/m3 increase of PM10 , 1.019 (95% CI = (1.005-1.033)) in adults and 1.022 (95% CI = (1.012-1.033)) in the elderly for every 0.1 part per million (ppm) increase of CO; 1.006 (95%CI = (1.002-1.009)) and 1.019 (95%CI = (1.007-1.032)) in the elderly for every 1 part per billion (ppb) increase of NO2 and SO2, respectively. Asthma hospital admissions were significantly increased for PM10 and CO in adults, and for PM10, CO, NO2 and SO2 in the elderly.^