910 resultados para Galaxies : Kinematics And Dynamics


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旱冬瓜(Alnus nepalensis)和潺槁木姜子(Litsea glutinosa)是云南省无量山黑长臂猿(Nomascus concolor)栖息地中的两种常见乔木.利用最近邻体法和Heygi单木竞争指数模型,对两个种群的分布格局 和竞争情况进行分析.结果表明,旱冬瓜在不同生长阶段均呈现随机分布,而伴生的潺槁木姜子种群则呈 现随机分布一聚集分布一均匀分布的变化趋势.种问竞争和物种自身生物学特性对两个种群的分布格局具 有显著影响.旱冬瓜种群的龄级结构为衰退型,潺槁木姜子种群则为成长型.

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We show how machine learning techniques based on Bayesian inference can be used to reach new levels of realism in the computer simulation of molecular materials, focusing here on water. We train our machine-learning algorithm using accurate, correlated quantum chemistry, and predict energies and forces in molecular aggregates ranging from clusters to solid and liquid phases. The widely used electronic-structure methods based on density-functional theory (DFT) give poor accuracy for molecular materials like water, and we show how our techniques can be used to generate systematically improvable corrections to DFT. The resulting corrected DFT scheme gives remarkably accurate predictions for the relative energies of small water clusters and of different ice structures, and greatly improves the description of the structure and dynamics of liquid water.

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A multi-objective optimization approach was proposed for multiphase orbital rendezvous missions and validated by application to a representative numerical problem. By comparing the Pareto fronts obtained using the proposed method, the relationships between the three objectives considered are revealed, and the influences of other mission parameters, such as the sensors' field of view, can also be analyzed effectively. For multiphase orbital rendezvous missions, the tradeoff relationships between the total velocity increment and the trajectory robustness index as well as between the total velocity increment and the time of flight are obvious and clear. However, the tradeoff relationship between the time of flight and the trajectory robustness index is weak, especially for the four- and five-phase missions examined. The proposed approach could be used to reorganize a stable rendezvous profile for an engineering rendezvous mission, when there is a failure that prevents the completion of the nominal mission.

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The standard design process for the Siemens Industrial Turbomachinery, Lincoln, Dry Low Emissions combustion systems has adopted the Eddy Dissipation Model with Finite Rate Chemistry for reacting computational fluid dynamics simulations. The major drawbacks of this model have been the over-prediction of temperature and lack of species data limiting the applicability of the model. A novel combustion model referred to as the Scalar Dissipation Rate Model has been developed recently based on a flamelet type assumption. Previous attempts to adopt the flamelet philosophy with alternative closure models have failed, with the prediction of unphysical phenomenon. The Scalar Dissipation Rate Model (SDRM) was developed from a physical understanding of scalar dissipation rate, signifying the rate of mixing of hot and cold fluids at scales relevant to sustain combustion, in flames and was validated using direct numerical simulations data and experimental measurements. This paper reports on the first industrial application of the SDRM to SITL DLE combustion system. Previous applications have considered ideally premixed laboratory scale flames. The industrial application differs significantly in the complexity of the geometry, unmixedness and operating pressures. The model was implemented into ANSYS-CFX using their inbuilt command language. Simulations were run transiently using Scale Adaptive Simulation turbulence model, which switches between Large Eddy Simulation and Unsteady Reynolds Averaged Navier Stokes using a blending function. The model was validated in a research SITL DLE combustion system prior to being applied to the actual industrial geometry at real operating conditions. This system consists of the SGT-100 burner with a glass square-sectioned combustor allowing for detailed diagnostics. This paper shows the successful validation of the SDRM against time averaged temperature and velocity within measurement errors. The successful validation allowed application of the SDRM to the SGT-100 twin shaft at the relevant full load conditions. Limited validation data was available due to the complexity of measurement in the real geometry. Comparison of surface temperatures and combustor exit temperature profiles showed an improvement compared to EDM/FRC model. Furthermore, no unphysical phenomena were predicted. This paper presents the successful application of the SDRM to the industrial combustion system. The model shows a marked improvement in the prediction of temperature over the EDM/FRC model previously used. This is of significant importance in the future applications of combustion CFD for understanding of hardware mechanical integrity, combustion emissions and dynamics of the flame. Copyright © 2012 by ASME.

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The concentrations of alkylphenols (APs) were investigated in water, sediments and submersed macrophytes from the Moon Lake, Wuhan city, China. The water samples contained APs, ranging up to 26.4 mu g l(-1) for nonylphenol (NP) and 0.68 mu g l(-1) for octylphenol (OP). APs were found in the sediment samples with concentrations ranging from 4.08 to 14.8 for NP and from 0.22 to 1.25 mu g l(-1) dry weight for OP. The samples from the site near former sewage inlet showed the highest concentrations of APs in both water and sediments. The results of distribution pattern and dynamics of NP and OP in submersed macrophytes of the Moon Lake showed that the two pollutants were all found in Myriophyllum verticillatum, Elodea nuttallii, Ceratophyllum oryzetorum, and Potamageton crispus collected from the Moon Lake. For NP, M. verticillatum had the highest capacity of accumulation, followed by E. nuttallii, C. oryzetorum and P. crispus. However the distribution pattern of OP differed from that of NP, and the highest amount of accumulation was observed in E. nuttallii, followed by M. verticillatum, P. crispus, and C. oryzetorum. The temporal pattern of APs was also observed in submersed macrophytes from March to May, and the highest accumulation period was in May. (c) 2008 Elsevier Ltd. All rights reserved.

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Accurately measuring the electronic properties of nanowires is a crucial step in the development of novel semiconductor nanowire-based devices. With this in mind, optical pump-terahertz probe (OPTP) spectroscopy is ideally suited to studies of nanowires: it provides non-contact measurement of carrier transport and dynamics at room temperature. OPTP spectroscopy has been used to assess key electrical properties, including carrier lifetime and carrier mobility, of GaAs, InAs and InP nanowires. The measurements revealed that InAs nanowires exhibited the highest mobilities and InP nanowires exhibited the lowest surface recombination velocity. © 2013 Copyright SPIE.

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Conventional models of bipedal walking generally assume rigid body structures, while elastic material properties seem to play an essential role in nature. On the basis of a novel theoretical model of bipedal walking, this paper investigates a model of biped robot which makes use of minimum control and elastic passive joints inspired from the structures of biological systems. The model is evaluated in simulation and a physical robotic platform with respect to the kinematics and the ground reaction force. The experimental results show that the behavior of this simple locomotion model shows a considerable similarity to that of human walking. © 2006 The authors.

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Time resolved magneto-optic Kerr rotation measurements of optically induced spin quantum beats are performed on heavily doped bulk (Ga,Mn)As diluted magnetic semiconductors (DMS). An effective g-factor of about 0.2-0.3 over a wide range of temperature for both as-grown and annealed (Ga,Mn)As samples is obtained. A larger effective g-factor at lower temperature and an increase of the spin relaxation with increasing in-plane magnetic field are observed and attributed to the stronger p-d exchange interaction between holes and the localized magnetic ion spins, leading to a larger Zeeman splitting and heavy-hole-light-hole mixing. An abnormal dip structure of the g-factor in the vicinity of the Curie temperature suggests that the mean-field model is insufficient to describe the interactions and dynamics of spins in DMS because it neglects the short-range spin correlation effect. (c) 2008 American Institute of Physics.

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采用野外样线取样与室内萌发相结合的方法研究了黄土高原丘陵沟壑区退耕地种子库的组成、密度、分布特征、季节动态、种子库类型。结果表明,土壤种子库中共发现50种植物的种子,隶属15个科,39个属,主要物种组成与密度季节间差异不显著;在演替过程中土壤种子库的物种数量与密度随退耕年限的增加表现出:增加-减少-增加的趋势,同时阳坡种子库密度波动较阴坡剧烈;土壤种子库密度年内变化范围为1 067~14 717粒/m2,土壤种子库平均密度是夏季>秋季>春季;研究区域退耕地土壤种子库类型属于以猪毛蒿为优势种,并具有其他一年生、多年生草本植物与灌丛种子的没有显著的季节动态的持久种子库,是物种适应黄土丘陵沟壑区特有生态环境条件的繁殖更新策略;从土壤种子库的物种组成、密度、类型来看,黄土丘陵沟壑区退耕地具有一定的自然恢复潜力。

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土壤氨基糖因其异源性和稳定性可用以指示微生物对土壤碳(C)氮循环的相对贡献。但由于氨基糖是微生物在土壤中长期残留的平衡结果,其数量变化无法准确反映在微生物作用下无机态氮(N)向氨基糖转化的动态过程和机制,从而使氨基糖对土壤氮内循环的指示作用受到限制。如果能够利用新的技术手段研究土壤氨基糖的微生物转化过程,将使土壤氮素内循环研究产生突破。同位素技术是研究土壤C,N转化过程的有效手段。但是研究特定化合物如氨基糖的微生物转化过程还需要新的技术支持,本研究首先建立了稳定同位素培养-气质联机技术测定土壤氨基糖同位素富集比例新方法。对于15N培养样品,由于氨基糖分子中只有一个N原子,15N富集比例可通过m/z(F+1)与F相对丰度的比值计算;对于13C培养样品,由于葡萄糖c整体掺入形成氨基糖c骨架,所以利用m/z(F+n)与F相对丰度的比值计算13c在土壤氨基糖中的富集(n为质谱碎片中骨架C原子数)。同位素富集用原子百分超(APE)表示。EI和cI两种方式测得的APE有很好的同一性,且不受土壤基质的影响,表明方法的可靠性和广泛适用性。利用以上方法,进行了土壤样品的同位素培养与测定,以跟踪土壤氨基糖微生物合成动态,进行氨基糖的微生物转化与更新研究。主要结论如下:1.当以葡萄糖为碳源且每周施入底物时,NH4+和NO3-均可被微生物迅速同化并进行氨基糖的合成。但NO3-必须被还原成NH4+才能被微生物利用,因而NO3.存在短暂的滞后期,之后被微生物快速利用。氨基葡萄糖(GluN)和胞壁酸(MurN)不同的同位素富集特征表明,N源形态对细菌增殖无显著影响,但真菌更倾向于利用NH4+。在NO3-培养中氨基糖的增量及微生物对C的截获均小于NH4+。2.分别利用u一13c一glucose一NH4十和glLlcose一ISNH4+进行样品培养时,同位素富集趋势相同,但APE(13C)大于APE(15N),这种差别反映了了土壤微生物利用C,N的时间特征及土壤有机质含量对C,N循环的影响。3.以gtucose-15NH4+为底物时,施入N素频率的改变也会影响微生物的活性。尤其是细菌的快速生长受到N素不足的限制,转而代之以细菌和真菌的持续的低速生长。微生物活性的降低减少了对有机c的截获。DCD的加入有效抑制了NH4+向NO3一的转化,但对氨基糖的合成无显著影响。4.土壤氨基糖反映的主要是土壤中已经死亡了的微生物的一种长期过程而产生的残留,同土壤微生物量无明显的相关性。但经外加底物培养后,氨基糖同位素富集比例的变化则来源于微生物的转化,因而与微生物量碳有直接的相关性。5.从原理上说,在氨基糖的微生物合成过程中,葡萄糖没有发生C骨架的断裂,而是直接转化成为氨基葡萄糖的骨架。但在复杂的土壤基质中,氨基葡萄糖的合成必然受到葡萄糖其他生物化学过程的影响。使少量葡萄糖经酵解后再次参与己糖胺的合成。以全取代葡萄糖为底物时,葡萄糖碳骨架的断裂与重排不影响13c同位素的富集。但对于单取代葡萄糖培养来说,必须要考虑因葡萄糖碳骨架断裂而产生的同位素的重新分配,Mass(F+1)和Mass(F+2)的丰度变化的总和真正代表了氨基葡萄糖的同位素富集。6.添加有机物料和N素进行土壤样品培养时,对外加氮素的同化远低于相应的葡萄糖培养。碳源尤其是能源不足限制了N的转化。微生物分解高C加的有机物料需吸收外加N源以满足自身生长需要。N素的加入频率影落响微生物对外加N素的利用。当加入的N不能满足微生物分解有机物料的需要,就会降低微生物对有机物料的分解速度,使无机N向氨基糖态N转化速度降低。应用稳定同位素技术,发现施到土壤中的无机氮素可被微生物快速转化成某种形态有机氮,这种有机态氮处于不断转化循环之中,构成土壤有效氮的暂存"过渡库",其中氨基糖是重要成分之一。过渡库现象的发现为氮肥的有效利用提供了新的思路。根据土壤有效氮"过渡库"的模型,氮月巴高效利用调控实际上就是土壤氮素微生物转化过程的调控。提高土壤无机氮素向土壤有机氮的转化速率和转化强度可以有效减少无机氮在土壤中的积累,从而降低肥料和土壤氮素的硝化和反硝化损失,提高氮肥利用率。研究还发现,土壤有效氮"过渡库"容量与循环速率不仅取决于N源自身性质,碳源的可利用性显著影响施入土壤的N素微生物转化特征。只有适当提高可利用碳源即活性碳源的数量,才能提高氮素的微生物同化,土壤有效氮"过渡库"容量,从而减少氮素损失。

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Current concepts of the role of interspecific interactions in communities have been shaped by a profusion of experimental studies of interspecific competition over the past few decades. Evidence for the importance of positive interactions — facilitations — in community organization and dynamics has accrued to the point where it warrants formal inclusion into community ecology theory, as it has been in evolutionary biology.

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对黄土高原地区子午岭天然柴松(Pinus tabulaeformisf.shekannesis)林种群的结构和动态进行了研究。结果显示:柴松种群结构呈反J分布型,种群处于增长阶段;种群的密度随径级的增加而降低,种群密度与径级呈现出明显的负相关;4个函数(生存率函数、积累死亡率函数、死亡密度函数、危险率函数)估计值说明种群具有前期增长、后期稳定的特点,其存活曲线介于DeeveyⅡ型和DeeveyⅢ型之间;随时间推移,种群中树和大树数量逐渐增多,种群在20 a后开始大量进入成熟阶段。表明柴松在本研究区内生长更新良好,在无人为干扰条件下,柴松可通过自我调节能力而保持种群的稳定性。