6,323 research outputs found
Synthesis optimization and charge carrier transfer mechanism in LiLuSiO<sub>4</sub>:Ce, Tm storage phosphor
No full textLiLuSiO4:Ce and LiLuSiO4:Ce, Tm show very efficient charge carrier storage properties upon beta irradiation after samples have received treatment in vacuum. They outperform the commercial storage phosphor BaFBr(I):Eu2+ in many aspects. The influence of the synthesis conditions, Ce and Tm concentration, nonstoichiometry and codoping with Ca, Hf, Al and Ge are reported. Based on the results of the synthesis optimization, thermoluminescence (TL) emission and TL excitation spectra a mechanism of charge carrier transfer, storage, and recombination during irradiation and thermal or optical readout is proposed.Accepted Author ManuscriptRST/Fundamental Aspects of Materials and EnergyRST/Luminescence Material
O abismo social brasileiro no teatro de Nelson Rodrigues
No full textEm sua obra teatral, Nelson Rodrigues expõe criticamente as relações de classe no Brasil como pano de fundo para os conflitos entre a desordem interna de seus personagens e a ordem social em que estão inseridos, tema constante de seus trabalhos. Este artigo focaliza como se dão essas relações de classe em sua obra dramática, explorando cinco aspectos significativos: as profissões, os lugares, a relação entre ricos e pobres, a relação entre brancos e negros, o sexo e o dinheiro como agentes de corrupção de todas as classes
Integração de imagens de sensores de microondas e ópticos para fins de mapeamento e classificação de reflorestamentos no sul do Brasil
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de ProduçãoO presente trabalho teve por objetivo avaliar as potencialidades de sensores ópticos e de microondas para a elaboração de mapas temáticos e classificação de reflorestamentos no município de Sengés, Estado do Paraná. Foram utilizadas imagens dos sensores JERS1-SAR e LANDSAT-5 TM, ambas de dezembro de 1995. A área de estudo, equivalente a aproximadamente 5000 ha, é constituída por povoamentos de Eucalyptus spp e Pinus spp, com diversas idades e submetidos a diferentes regimes de manejo. Foram efetuadas três abordagens distintas analisando o desempenho de técnicas de processamento digital de imagens na classificação e elaboração de mapas de vegetação dessas áreas, a partir de imagens dos sensores de microondas e ópticos, isoladamente e, depois, dos produtos de sua fusão. A imagem de radar foi ortorretificada considerando-se as informações obtidas do modelo do satélite e do modelo digital do terreno (DEM). A imagem LANDSAT TM foi corrigida geometricamente empregando-se transformações polinomiais. Para o registro entre as duas imagens foi empregada a técnica "mestre-escravo", adotando-se como referência a imagem de radar ortorretificada. Entre os processos de fusão aplicados incluíram-se a combinação simples de bandas dos dois sensores, a transformação estatística por componentes principais e a transformação IHS. Nesta pesquisa a combinação simples de bandas envolvendo a imagem de radar e as componentes principais da imagem LANDSAT foi considerada a melhor técnica para a fusão de imagens. Embora a transformação IHS não tenha produzido os resultados esperados, alguns dos produtos híbridos obtidos por esta técnica foram úteis na discriminação de alvos pontuais, tais como talhões cortados em diferentes épocas, talhões de diferentes idades e espécies do gênero Pinus e áreas com gramíneas e mata nativa. A segmentação de imagens revelou-se bastante promissora com relação ao processamento de imagens JERS, sendo que o mapa temático foi elaborado a partir de um procedimento combinado envolvendo a atribuição de classes temáticas aos polígonos gerados pela segmentação. Na classificação temática o algoritmo de Bhattacharyya produziu os melhores resultados em todas as abordagens, indistintamente. Verificou-se um aumento da acurácia temática com a integração das imagens ópticas e de radar, tendo-se obtido valores de acurácia geral iguais a 60,19%, 73,30% e 82,53% para as classificações efetuadas sobre a imagem JERS1-SAR, LANDSAT-5 TM e híbrida, respectivamente
<i>Mater<sup>tm/tm</sup></i> oocytes display elevated levels of lipid droplets.
No full text<p>(<b>A</b>) Low magnification (x1,700) TEM images of <i>Mater<sup>+/+</sup></i> and <i>Mater<sup>tm/tm</sup></i> GV-stage oocytes. Oocytes were prepared for TEM as above. White arrows point to LDs. (<b>B</b>) Confocal images of GV-stage live <i>Mater<sup>+/+</sup></i> and <i>Mater<sup>tm/tm</sup></i> oocytes following Nile red staining. DIC images show morphology of LDs in oocytes. Close up images (Right panel) highlight LD aggregates. Arrows indicate LDs. (<b>C</b>) Quantitation of the volume fractions of CPLs, LDs, mitochondria, and ER in <i>Mater<sup>+/+</sup></i> and <i>Mater<sup>tm/tm</sup></i> GV-stage oocytes. Mean ± SEM is indicated. <i>P</i> value is <0.004 for CPLs, <0.04 for LD, >0.05 for mitochondria, and ER.</p
GA Landsat 5 TM Analysis Ready Data Collection 3
No full textMaintenance and Update Frequency: asNeededStatement: This product is derived from the USGS Landsat Collection 1 archive.
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A1 Version 6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset was provided by the National Aeronautics and Space Administration (NASA). It was produced daily using 16 days of Terra and Aqua MODIS data at 500 m resolution.
The ozone data was provided by Environment Canada.
The Aerosol Optical Thickness data was provided by the Commonwealth Scientific and Industrial Research Organisation (CSIRO).
The Precipitable Water for Entire Atmosphere data was provided by the National Oceanic and Atmospheric Administration (NOAA) / Earth System Research Laboratory (ESRL) / Physical Sciences Division (PSD).
The baseline Digital Surface Model (DSM) data produced from the Shuttle Radar Topography Mission (SRTM) was provided by the National Geospatial-Intelligence Agency (NGA).
Level 1 Collection 1 data was provided by the United States Geological Survey (USGS)'s Earth Resources Observation and Science (EROS) Center.<b>BACKGROUND</b><br/><p><br/><p>The United States Geological Survey's (USGS) Landsat satellite program has been capturing images of the Australian continent for more than 30 years. This data is highly useful for land and coastal mapping studies. <br/><p>In particular, the light reflected from the Earth’s surface (surface reflectance) is important for monitoring environmental resources – such as agricultural production and mining activities – over time. <br/><p>We need to make accurate comparisons of imagery acquired at different times, seasons and geographic locations. However, inconsistencies can arise due to variations in atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. These need to be reduced or removed to ensure the data is consistent and can be compared over time. <br/><p> </p><br/><b>WHAT THIS PRODUCT OFFERS</b><br/><p><br/><p>GA Landsat 5 TM Analysis Ready Data Collection 3 takes Landsat 5 Thematic Mapper (TM) imagery captured over the Australian continent and corrects for inconsistencies across land and coastal fringes. The result is accurate and standardised surface reflectance data, which is instrumental in identifying and quantifying environmental change. <br/><p><br/><p>The TM instrument is an advanced, multispectral scanning, Earth resources sensor which is designed to categorise the Earth's surface. It is particularly useful for agricultural applications and identification of land use. <br/><p><br/><p>This product is a single, cohesive Analysis Ready Data (ARD) package, which allows you to analyse surface reflectance data as is, without the need to apply additional corrections. <br/><p><br/><p>It contains three sub-products that provide corrections or attribution information:<br/><p><br/><p> 1) GA Landsat 5 TM NBAR Collection 3 <br/><p> 2) GA Landsat 5 TM NBART Collection 3<br/><p> 3) GA Landsat 5 TM OA Collection 3<br/><p><br/><p>The resolution is a 30 m grid based on the USGS Landsat Collection 1 archive
The dependence of light extraction improvement on optimized surface microstructure for AlGaN-based UVC-LEDs considering TM-polarized emission
No full textIn order to improve the light extraction of AlGaN-based short wavelength ultraviolet light emitting diodes (DUC-LEDs), a type of microstructure with high aspect ratio is introduced and optimized on the AlN substrate surface. And, particle swarm optimization (PSO) algorithm is used to inverse design of the surface microstructure to maximize the light extraction efficiency (LEE). Considering that the propagation characteristics of TM-polarized light are different from that of TE-polarized light, the optical field distribution and LEE is analyzed for the UVC-LEDs with different TE-polarized component when the optimized surface microstructure is applied. Furthermore, the preparation process tolerance of the high aspect ratio structure is discussed by calculating the LED's LEE when the structural deviation occurs or morphology changes. Simulation results show that, by using the optimized surface microstructure based on parabola cone array, the LEDs' LEE is increased from 4.4% to 8.7% and from 0.4% to 3.7% for TE-polarized and TM-polarized emission, respectively. In addition, it is demonstrated that the light extraction improvement by the surface microstructure has a good tolerance to the structural deviation and morphology. The results are significant for improving light extraction and realizing high efficient short wavelength AlGaN-based UVC-LEDs by designing surface microstructures.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.ImPhys/Esmaeil Zadeh grou
Rigor and relevance in empirical TM research: Key issues and challenges Author links open overlay panel
No full textThis paper aims to offer a critical reflection on the way Talent Management (TM) is investigated in practice, by addressing the key issues regarding the quality (in terms of rigor and relevance) of academic empirical TM research and therefore the critical scrutiny of TM scholars’ work. We will argue that despite the growth in the quantity, the quality of many empirical TM papers is lagging behind and hindering the progress of the academic field of TM. Based on a content analysis of 174 peer-reviewed articles published between 2006 and 2017, the paper outlines nine critical issues regarding the quality of the existent empirical TM research. In order to improve the positioning of the field as well as the impact of TM research on practice itis absolutely necessary for TM scholars to secure the quality of academic empirical TM research. Also, the collaboration between practitioners and scholars should increase.Peer ReviewedPostprint (author's final draft
Rigor and relevance in empirical TM research: Key issues and challenges Author links open overlay panel
No full textThis paper aims to offer a critical reflection on the way Talent Management (TM) is investigated in practice, by addressing the key issues regarding the quality (in terms of rigor and relevance) of academic empirical TM research and therefore the critical scrutiny of TM scholars’ work. We will argue that despite the growth in the quantity, the quality of many empirical TM papers is lagging behind and hindering the progress of the academic field of TM. Based on a content analysis of 174 peer-reviewed articles published between 2006 and 2017, the paper outlines nine critical issues regarding the quality of the existent empirical TM research. In order to improve the positioning of the field as well as the impact of TM research on practice itis absolutely necessary for TM scholars to secure the quality of academic empirical TM research. Also, the collaboration between practitioners and scholars should increase.Peer Reviewe
Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data:an assessment of predictions between regions
No full textQuantifying the above ground biomass of tropical forests is critical for understanding the dynamics of carbon fluxes between terrestrial ecosystems and the atmosphere, as well as monitoring ecosystem responses to environmental change. Remote sensing remains an attractive tool for estimating tropical forest biomass but relationships and methods used at one site have not always proved applicable to other locations. This lack of a widely applicable general relationship limits the operational use of remote sensing as a method for biomass estimation, particularly in high biomass ecosystems. Here, multispectral Landsat TM and JERS-1 SAR data were used together to estimate tropical forest biomass at three separate geographical locations: Brazil, Malaysia and Thailand. Texture measures were derived from the JERS-1 SAR data using both wavelet analysis and Grey Level Co-occurrence Matrix methods, and coupled with multispectral data to provide inputs to artificial neural networks that were trained under four different training scenarios and validated using biomass measured from 144 field plots. When trained and tested with data collected from the same location, the addition of SAR texture to multispectral data showed strong correlations with above ground biomass (r = 0.79, 0.79 and 0.84 for Thailand, Malaysia and Brazil respectively). Also, when networks were trained and tested with data from all three sites, the strength of correlation (r = 0.55) was stronger than previously reported results from the same sites that used multispectral data only. Uncertainty in estimating AGB from different allometric equations was also tested but found to have little effect on the strength of the relationships observed. The results suggest that the inclusion of SAR texture with multispectral data can go someway towards providing relationships that are transferable across time and space, but that further work is required if satellite remote sensing is to provide robust and reliable methodologies for initiatives such as Reducing Emissions from Deforestation and Degradation (REDD+). (C) 2012 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved
Dalla Biblioteca Comunale di Urbania: due raccolte musicali per un interprete
No full textIn the Library of Urbania (Marche, Italy) six musical manuscripts containing seventeenth century arias and cantatas are preserved. They belonged to an aristocratic family of Apecchio, (Marche), the Ubaldini. This article investigates two of them containing cantatas by Cossoni, Giovanni Bonaventura Viviani, Legrenzi Bassani and others, and in which there is the note “ex libris Antonij Barbarini”. This article reconstructs the origin of these two manuscripts, for whom the author individuated the probable owner, the singer Ippolito Fusai, by means the repertory identified in it. A thorough investigation of this hitherto little-known manuscripts may shed new light on the diffusion and transmission of music in Italy during the Seventeenth and early-Eighteenth centurie
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