987 resultados para Smirnov


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Chloroform extracts of water-soluble organic matter collected in the water column from the surface to the bottom were studied by C-13 and H-1 NMR chromatographic mass spectrometry, and phthalate concentrations were determined by capillary gas-liquid chromatography. More than 14 compounds were found including diethyl phthalate, ethyl butyl phthalate, dibutyl phthalate, and di-2-ethylhexyl phthalate, phthalates with normal C4-C12 chains, phthalates partially esterified with methanol, and others, at total concentrations up to 0.4 mg/l. Possible reasons for presence of phthalates in oceans, sometimes in high concentrations, are discussed.

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Previous workers identified a magnetically anomalous clay layer deposited on the northern United States Atlantic Coastal Plain during the Paleocene-Eocene thermal maximum (PETM). The finding inspired the highly controversial hypothesis that a cometary impact triggered the PETM. Here we present ferromagnetic resonance (FMR), isothermal and anhysteretic remanent magnetization, first-order reversal curve, and transmission electron microscopy analyses of late Paleocene and early Eocene sediments in drill core from Ancora, New Jersey. A novel paleogeographic analysis applying a recent paleomagnetic pole from the Faeroe Islands indicates that New Jersey during the initial Eocene had a ~6°-9° lower paleolatitude (~27.3° for Ancora) and a more zonal shoreline trace than in conventional reconstructions. Our investigations of the PETM clay from Ancora reveal abundant magnetite nanoparticles bearing signature traits of crystals produced by magnetotactic bacteria. This result, the first identification of ancient biogenic magnetite using FMR, argues that the anomalous magnetic properties of the PETM sediments are not produced by an impact. They instead reflect environmental changes along the eastern margin of North America during the PETM that led to enhanced production and/or preservation of magnetofossils.

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Distribution, composition and genesis of organic matter in recent bottom sediments of the Weddell Sea (Western Antarctic) are discussed. Geochemical background levels of bitumen, organic matter, and polycyclic aromatics in the sediments are respectively 0.01-0.1%, 0.003-0.005%, and 0.0001-0.0002%. Deviations from the background level, probably caused by secondary processes, are found. Organic matter has characteristic properties resulting from distinctive character of aquatic biota organic matter, from which it has been formed.

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Mode of access: Internet.

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Text of Turkish ms.: 14 p. at end.

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A generic method for the estimation of parameters for Stochastic Ordinary Differential Equations (SODEs) is introduced and developed. This algorithm, called the GePERs method, utilises a genetic optimisation algorithm to minimise a stochastic objective function based on the Kolmogorov-Smirnov statistic. Numerical simulations are utilised to form the KS statistic. Further, the examination of some of the factors that improve the precision of the estimates is conducted. This method is used to estimate parameters of diffusion equations and jump-diffusion equations. It is also applied to the problem of model selection for the Queensland electricity market. (C) 2003 Elsevier B.V. All rights reserved.

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O objetivo geral deste estudo foi analisar, interpretar e discutir as relações entre as percepções de sucesso na carreira, bem-estar no trabalho e a intenção de rotatividade em trabalhadores da Região Sudeste do Brasil. Participaram desta pesquisa 500 trabalhadores que atuam no estado de São Paulo em organizações não governamentais, públicas e privadas. Como instrumento para coleta de dados foi utilizado um questionário de autopreenchimento composto de cinco escalas que mediram as variáveis da pesquisa. A presente pesquisa se propôs a apresentar, interpretar e discutir as relações entre as variáveis, como também, testar as hipóteses referentes ao modelo conceitual proposto, por meio de uma pesquisa de natureza transversal com abordagem quantitativa, cujos dados coletados foram analisados por aplicação de técnicas estatísticas paramétricas (cálculos de estatísticas descritivas: médias, desvio padrão, teste t e correlações; cálculos de estatísticas multivariadas: análise de regressão linear múltipla stepwise e teste da normalidade das variáveis, por meio do teste de Kolmogorov-Smirnov). O tratamento e análise dos dados foram realizados pelo software estatístico Statistical Package for the Social Science SPSS, versão 18.0 para Windows. Os resultados obtidos demonstraram que as dimensões de bem-estar no trabalho exercem forte e significativo impacto sobre a intenção de rotatividade dos profissionais, enquanto que a percepção de sucesso na carreira contribuiu com valores baixos neste impacto, devido ao formato do modelo hipotético. A pesquisa possibilitou concluir que quanto mais a empresa se preocupa em proporcionar um ambiente de trabalho que seja animador, interessante e que cause entusiasmo, menos os profissionais pensarão em deixá-la.

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O presente estudo objetivou avaliar a eficácia do Laser de Baixa Intensidade (LBI) na aceleração da movimentação dentária e na diminuição da dor frente à aplicação de força ortodôntica. A amostra foi composta por 19 pacientes, sendo doze do sexo feminino e sete do sexo masculino, com idade inicial média de 14,69 anos, todos com indicação para extrações de primeiros pré-molares. Destes, 66 caninos foram submetidos à retração inicial, sendo que 33 receberam aplicação de laser e 33 foram considerados controle. Utilizou-se o Laser de Baixa Intensidade de arseneto de gálio e alumínio, com comprimento de onda de 780nm, na dosimetria de 40mW;10J/cm2;10s/ponto, aplicado apenas uma vez ao mês em dez pontos, sendo cinco por vestibular e cinco por lingual/palatino. Modelos de gesso foram confeccionados durante todos os meses de retração dos caninos, que teve duração de quatro meses, sendo, posteriormente, digitalizados para se mensurar a quantidade de movimentação de um lado em relação ao outro, utilizando-se como referência as papilas incisivas. Para a avaliação da dor experimentada pelos pacientes, os mesmos foram orientados a preencher uma escala analógica visual (VAS) que variava de 0 a 10 , em que zero significava nenhuma dor e dez significava dor insuportável, nos intervalos de 12, 24, 48 e 72 horas após a aplicação da força ortodôntica. Foi mensurado o apinhamento de todas as hemiarcadas dos pacientes na fase inicial, medindo-se a distância entre os pontos de contato de cada dente. Para a verificação do padrão de normalidade, empregou-se o teste de Kolmogorov-Smirnov, sendo que para comparar o lado irradiado com o lado não irradiado foi utilizado o teste t pareado, exceto para a variável razão caninos/molares , analisada pelo teste não paramétrico de Wilcoxon (p<0,05). Os resultados mostraram que em relação ao apinhamento dentário, os lados irradiado e não irradiado apresentaram-se compatíveis. Além disso, não houve diferença estatisticamente significante entre a quantidade de retração dos caninos irradiados comparados aos não irradiados, o mesmo acontecendo com a sensibilidade dolorosa experimentada pelos pacientes. Concluiu-se assim que o LBI na dosimetria e forma como foi utilizado não foi eficiente na aceleração da movimentação dentária nem na redução da dor experimentada pelos pacientes frente às forças ortodônticas.

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This paper, addresses the problem of novelty detection in the case that the observed data is a mixture of a known 'background' process contaminated with an unknown other process, which generates the outliers, or novel observations. The framework we describe here is quite general, employing univariate classification with incomplete information, based on knowledge of the distribution (the 'probability density function', 'pdf') of the data generated by the 'background' process. The relative proportion of this 'background' component (the 'prior' 'background' 'probability), the 'pdf' and the 'prior' probabilities of all other components are all assumed unknown. The main contribution is a new classification scheme that identifies the maximum proportion of observed data following the known 'background' distribution. The method exploits the Kolmogorov-Smirnov test to estimate the proportions, and afterwards data are Bayes optimally separated. Results, demonstrated with synthetic data, show that this approach can produce more reliable results than a standard novelty detection scheme. The classification algorithm is then applied to the problem of identifying outliers in the SIC2004 data set, in order to detect the radioactive release simulated in the 'oker' data set. We propose this method as a reliable means of novelty detection in the emergency situation which can also be used to identify outliers prior to the application of a more general automatic mapping algorithm. © Springer-Verlag 2007.

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Background: Parkinson’s disease (PD) is an incurable neurological disease with approximately 0.3% prevalence. The hallmark symptom is gradual movement deterioration. Current scientific consensus about disease progression holds that symptoms will worsen smoothly over time unless treated. Accurate information about symptom dynamics is of critical importance to patients, caregivers, and the scientific community for the design of new treatments, clinical decision making, and individual disease management. Long-term studies characterize the typical time course of the disease as an early linear progression gradually reaching a plateau in later stages. However, symptom dynamics over durations of days to weeks remains unquantified. Currently, there is a scarcity of objective clinical information about symptom dynamics at intervals shorter than 3 months stretching over several years, but Internet-based patient self-report platforms may change this. Objective: To assess the clinical value of online self-reported PD symptom data recorded by users of the health-focused Internet social research platform PatientsLikeMe (PLM), in which patients quantify their symptoms on a regular basis on a subset of the Unified Parkinson’s Disease Ratings Scale (UPDRS). By analyzing this data, we aim for a scientific window on the nature of symptom dynamics for assessment intervals shorter than 3 months over durations of several years. Methods: Online self-reported data was validated against the gold standard Parkinson’s Disease Data and Organizing Center (PD-DOC) database, containing clinical symptom data at intervals greater than 3 months. The data were compared visually using quantile-quantile plots, and numerically using the Kolmogorov-Smirnov test. By using a simple piecewise linear trend estimation algorithm, the PLM data was smoothed to separate random fluctuations from continuous symptom dynamics. Subtracting the trends from the original data revealed random fluctuations in symptom severity. The average magnitude of fluctuations versus time since diagnosis was modeled by using a gamma generalized linear model. Results: Distributions of ages at diagnosis and UPDRS in the PLM and PD-DOC databases were broadly consistent. The PLM patients were systematically younger than the PD-DOC patients and showed increased symptom severity in the PD off state. The average fluctuation in symptoms (UPDRS Parts I and II) was 2.6 points at the time of diagnosis, rising to 5.9 points 16 years after diagnosis. This fluctuation exceeds the estimated minimal and moderate clinically important differences, respectively. Not all patients conformed to the current clinical picture of gradual, smooth changes: many patients had regimes where symptom severity varied in an unpredictable manner, or underwent large rapid changes in an otherwise more stable progression. Conclusions: This information about short-term PD symptom dynamics contributes new scientific understanding about the disease progression, currently very costly to obtain without self-administered Internet-based reporting. This understanding should have implications for the optimization of clinical trials into new treatments and for the choice of treatment decision timescales.

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Studying the transition from a linearly stable coherent laminar state to a highly disordered state of turbulence is conceptually and technically challenging, and of great interest because all pipe and channel flows are of that type. In optics, understanding how a system loses coherence, as spatial size or the strength of excitation increases, is a fundamental problem of practical importance. Here, we report our studies of a fibre laser that operates in both laminar and turbulent regimes. We show that the laminar phase is analogous to a one-dimensional coherent condensate and the onset of turbulence is due to the loss of spatial coherence. Our investigations suggest that the laminar-turbulent transition in the laser is due to condensate destruction by clustering dark and grey solitons. This finding could prove valuable for the design of coherent optical devices as well as systems operating far from thermodynamic equilibrium. © 2013 Macmillan Publishers Limited.

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We overview the recent development in applications of spectral broadening and supercontinuum generation in the field of optical communications. Special attention is dedicated to recent results obtained in our research groups. © 2005 Elsevier Inc. All rights reserved.