944 resultados para CHARGE CONTROL MODEL


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Os girinos são organismos diversos e abundantes nos pequenos riachos de cabeceira de florestas tropicais e constituem importantes componentes da diversidade biológica, da trófica e funcional dos sistemas aquáticos. Diferentes características estruturais e limnológicas dos ambientes aquáticos influenciam a organização das assembleias de girinos. Embora o estágio larvar dos anuros seja o mais vulnerável de seu ciclo de vida, sujeito a elevadas taxas de mortalidade, as pesquisas sobre girinos na região neotropical ainda são pouco representativas diante da elevada diversidade de anfíbios desta região e ferramentas que permitam a sua identificação ainda são escassas. Nesta tese, dividida em três capítulos, apresento uma compilação das informações relacionadas aos principais fatores que afetam as assembleias de girinos na região tropical (Capítulo 1), a caracterização morfológica dos girinos encontrados nos riachos durante o estudo e uma proposta de chave dicotômica de identificação (Capítulo 2) e avalio a importância relativa da posição geográfica e da variação temporal de fatores ambientais locais sobre as assembleias de girinos, assim como a correlação entre as espécies de girinos e as variáveis ambientais de 10 riachos, ao longo de 15 meses, nas florestas da REGUA (Capítulo 3). Há pelo menos oito tendências relacionadas à distribuição das assembleias de girinos: (1) o tamanho dos riachos e a diversidade de microhabitats são importantes características abióticas influenciando a riqueza e a composição de espécies; (2) em poças, o gradiente de permanência (e.g., hidroperíodo) e a heterogeneidade do habitat são os principais fatores moldando as assembleias de girinos; (3) a composição de espécies parece ser um parâmetro das assembleias mais relevante do que a riqueza de espécies e deve ser primeiramente considerado durante o planejamento de ações conservacionistas de anuros associados a poças e riachos; (4) a predação parece ser a interação biótica mais importante na estruturação das assembleias de girinos, com predadores vertebrados (e.g. peixes) sendo mais vorazes em habitats permanentes e predadores invertebrados (e.g. larvas de odonata) sendo mais vorazes em ambientes temporários; (5) os girinos podem exercer um efeito regulatório, predando ovos e girinos recém eclodidos; (6) o uso do microhabitat varia em função da escolha do habitat reprodutivo pelos adultos, presença de predadores, filogenia, estágio de desenvolvimento e heterogeneidade do habitat; (7) os fatores históricos restringem os habitats reprodutivos que uma espécie utiliza, impondo restrições comportamentais e fisiológicas; (8) a variação temporal nos fatores bióticos (e.g., fatores de risco), abióticos (e.g., distribuição de chuvas), e no padrão de reprodução das espécies pode interferir na estrutura das assembleias de girinos tropicais. A variação temporal na heterogeneidade ambiental dos riachos da REGUA resultou na previsibilidade das assembleias locais de girinos, sendo que os parâmetros ambientais explicaram 23% da variação na sua composição. Os parâmetros espaciais explicaram uma porção menor da variação nas assembleias (16%), enquanto uma porção relativamente elevada da variação temporal da heterogeneidade ambiental foi espacialmente estruturada (18%). As variáveis abióticas que apresentaram as maiores correlação com a composição das assembleias de girinos foram a proporção de folhiço e de rochas no fundo do riacho, e secundariamente a profundidade, a condutividade e a temperatura. O gradiente gerado pela proporção de folhiço e de rochas representou a transição entre riachos permanentes e intermitentes. Este gradiente proporcionou o turnover de espécies, o qual também seguiu um gradiente de condutividade, temperatura, profundidade, e em menor extensão, de hidroperíodo e largura, que estiveram fortemente associado ao grau de permanência dos riachos. Estes resultados corroboram tanto a hipótese do controle ambiental, como do controle biótico de comunidades e indicam que a variação temporal da heterogeneidade ambiental e a variação na posição geográfica são importantes para a estruturação local de assembleias de girinos da REGUA. Os resultados também permitiram distinguir entre assembleias de girinos exclusivas de riachos permanentes, exclusivas de riachos intermitentes e aquelas registradas nos dois tipos de riachos. Os resultados deste capítulo são relevantes para compreender em que extensão os efeitos da variação temporal na heterogeneidade ambiental e de processos espaciais afetam localmente a estruturação de assembleias de girinos.

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O objeto de estudo foi os níveis de demanda psicológica e controle sobre o trabalho de enfermeiros que atuam em hospitais privados. O objetivo geral avaliar os níveis de demanda psicológica e controle sobre o trabalho de enfermeiros que atuam em hospitais privados de acordo com o Modelo Demanda-Controle. Trata-se de um estudo transversal realizado com 69 enfermeiros (n=69) que atuam em diversos hospitais privados. Para caracterização da amostra utilizou-se o Questionário Sociodemográfico e para avaliar os aspectos psicossociais do trabalho o Job Content Questionnaire. A coleta de dados foi entre os meses de setembro e outubro de 2014. Para análise dos dados utilizou-se o programa SPSS 18.0 e o programa Microsoft Excel Office 2010. Os principais resultados encontrados na amostra estudada foram a predominância do sexo feminino (78,3%), com idade entre 24 e 47 anos de idade sendo maioria com a idade entre 20 e 29 anos, 50,7% relataram ser casados. Quanto à exposição ao estresse o estudo demonstrou que a amostra possui trabalho de alta exigência (56,5%) e trabalho ativo (53,6%). Diante do exposto, conclui-se que a amostra é de trabalhadores que possuem Alta exigência e Alto controle caracterizando trabalho ativo, o que seria o ideal no trabalho do enfermeiro, embora nem todos os âmbitos de atuação deste profissional permita tal liberdade, dado a aspectos inerentes da profissão, por exemplo, a fragmentação dos processos de trabalho, a burocratização, rotinização, hierarquia rígida dentre outros. Entende-se que novos estudos utilizando este modelo de instrumento podem contribuir para o conhecimento das reais condições de trabalho dos enfermeiros, com foco nos aspectos psicossociais, que são potenciais estímulos para o estresse no trabalho. Este conhecimento nos remete a uma reflexão mais aprofundada da saúde do trabalhador de enfermagem no âmbito hospitalar, além de nos permitir refletir sobre as mudanças necessárias para a redução das demandas psicológicas no trabalho permitindo maior autonomia e versatilidade na execução das tarefas, que podem contribuir para melhoria da qualidade de vida no trabalho, consequentemente melhoria na assistência prestada.

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GaAsSb/GaAs single quantum wells (SQWs) grown by molecular beam epitaxy are studied by selectively-excited photoluminescence (SEPL) measurement. For the first time, we have simultaneously observed the PL, from both type I and type II transitions in GaAsSb/GaAs heterostructure in the SEPL. The two transitions exhibit different PL, behaviours under different excitation energy. As expected, the peak energy of type I emission remains constant in the whole excitation energy range we used, while type U transition shows a significant blue shift with increasing excitation energy. The observed blue shift is well explained in terms of electron-hole charge separation model at the interface. Time-resolved(TR) PL exhibits more type 11 characteristic of GaAsSb/GaAs QW. Moreover, the results of the excitation-power-dependent PL and TRPL provide more direct information on the type-II nature of the band alignment in GaAsSb/GaAs quantum-well structures. By combining the experimental results with some simple calculations, we have obtained the strained and unstrained valence band offsets of Q(v) = 1.145 and Q(v)(0) = 0. 76 in our samples, respectively.

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GaAsSb/GaAs single quantum wells grown by molecular-beam epitaxy are studied by selectively excited photoluminescence measurements. We have simultaneously observed the photoluminescence (PL) from both type-I and type-II transitions in the samples. The two transitions exhibit different PL behavior under different excitation energies. As expected, the peak energy of the type-I emission remains constant in the entire excitation energy range we used, while the type-II transition shows a significant blueshift with increasing excitation energy. The observed blueshift can be well explained by an electron-hole charge separation model at interface. This result, along with the excitation-power-dependent PL and the measured longer carrier decay time, provides more direct information on the type-II nature of the band alignment in GaAsSb/GaAs quantum well structures. (C) 2002 American Institute of Physics.

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XML文档存放的信息需要受到访问控制策略的保护.现有的一些面向XML文档的访问控制模型都是基于自主访问控制策略或基于角色的访问控制.高安全等级系统需要强制访问控制来保证系统内信息的安全.首先扩展了XML文档模型使其包含标签信息,并给出了扩展后的文档模型需要满足的规则.然后通过讨论XML文档上的4种操作,描述了面向XML文档的细粒度强制访问控制模型的详细内容.该模型基于XML模式技术,它的控制粒度可以达到文档中的元素或者属性.最后讨论了该模型的体系结构和一些实现机制。

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利用受限数据库为理论对访问请求、属性权威、策略和判定过程的抽象描述,给出了一个基于属性的访问控制模型,讨论了模型中访问请求、属性权威、策略和判定过程之间的关系,给出了一个访问控制判定过程可终止的一种特定条件。

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门户能够有效地实现异构信息之间的集成与协作,并为用户提供可定制、统一且遵循规范的访问服务.然而,由于门户所具有的这些不同于普通Web应用的特性,也使得传统访问控制模型无法在门户中直接使用.提出了一种面向门户系统的访问控制模型p-RBAC.P-RBAC扩展了传统的基于角色访问控制模型,并根据行为状态进一步分为静态模型和动态模型.P-RBAC给出了静态模型和动态模型上的行为规则,提出了具体的动态权限指派和角色组织策略,从而有效地解决了门户的访问控制问题.实际的应用案例证明,P-RBAC模型能够适用于门户的访问控制,并较之传统访问控制模型更高效可行.

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文中对基于角色访问控制(role-based access control, RBAC)研究中的两大热点——模型的建立和实现进行了较深入的研究,提出了一种新的RBAC模型——NRBAC模型.这一模型除具有全面性外,比之已有的RBAC96 模型还具有接近现实世界和形式统一的优点.针对NRBAC模型的实现,文中又提出了一种新的RBAC实现机制——基于时间戳和素数因子分解的二进制双钥-锁对( TPB-2-KLP)访问控制方案.它不仅能很好地克服已有RBAC实现机制存在的缺点,还兼备了对锁向量修改次数少和发生溢出可能性小的优点.

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:水蚀风蚀交错带是黄土高原侵蚀最严重的地区和黄河下游河床粗泥沙的主要来源区 ,其生态环境脆弱、治理难度大 ,加之晋陕蒙能源基地的大规模开发 ,也带来了新的环境问题。鉴于治黄和煤田开发及生态环境整治的紧迫需要 ,以水蚀风蚀交错带六道沟小流域为试区 ,分析研究了该区水蚀风蚀时空分布规律及脆弱生态环境特征 ,提出以防治水蚀和风蚀为中心 ,以提高生态经济效益和持续发展为目标 ,以基本农田优化结构和高效利用及植被建设为重点 ,建立具有防蚀固沙兼高效生态经济功能的大农业复合生态系统综合治理模式 ,取得了良好的社会与经济效益

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A reduction phenomenon of Eu3+ -> Eu2+ was observed for the first time when Eu3+ ions were doped into an AlO4-tetrahedron-containing compound BaAl2O4 in an oxidizing atmosphere of air by high-temperature solid-state reaction. X-ray powder diffraction patterns and photoluminescent spectra are used to confirm the compound structure and detect the simultaneous existence of both divalent and trivalent europium ions, respectively. The abnormal Eu3+ -> Eu2+ reduction is explained by a charge compensation model. Spectroscopic properties of BaAl2O4:Eu are discussed and Eu2+ emission spectrum shows consistence with the results reported by Katsumata et a]. [J. Cryst. Growth 198/199 (1999) 869.] and Lin et al. [Mater. Chem. Phys. 70 (2001) 156.].

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The reduction of Eu3+ to Eu2+ in air has been observed in a silicate matrix for the first time in BaMgSiO4:Eu prepared by high-temperature solid-state reaction. Emission and excitation spectra were employed to detect the presence of Eu2+ ions in the compound and this reduction was explained by a charge compensation model proposed previously. In BaMgSiO4 : Eu2+, Eu2+ ions occupy three different lattice sites by substitution for Ba2+ ions. Eu2+ ions on Ba(1) and Ba(2) sites gave emissions at about 500 nm while that on Ba(3) site showed an emission band at 398 nm. All the emissions of Eu2+ ions in BaMgSiO4 : Eu2+ were not quenched at room temperature.

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Compounds of Sr4Al14O15: Eu were prepared in air atmosphere by high temperature solid state reaction. The reduction of Eu3+--> Eu2+ was firstly observed in the aluminate phosphor of Sr4Al14O25: Eu synthesized in air condition. This made aluminate a new family and Sr4Al14O25 a new member of compounds in which Eu3+ ion could be reduced to Eu2+ form when fired in air atmosphere. The reduction of Eu3+ --> Eu2+ in Sr4Al14O25: Eu was explained by means of a charge compensation model. Experiments based on the model were designed and carried out, and the results supported this model.

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建立了子机器人的控制模型,提出了分散式控制与集中式控制相结合的复合控制体系。采用动态分配ID号和由ID号确定机器人组中领导者的机制,建立了有领导者的机器人组的协作方法。其中,领导者与监控平台之间采用无线通讯,机器人组内采用CAN(control area network)总线传递控制信号。同时采用组内基于状态表匹配的控制方式。两个机器人组合利用以上机制,通过相互协调完成差速转弯的实验验证了该控制方法的可行性。

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The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

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The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.