927 resultados para Box e Jenkins


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基因的重复(duplication)及其功能的多样性(diversification)为生物体新的形态进化提供了原材料。重复的基因通过表达方式和(或)编码序列的改变而导致其亚功能化(subfunctionalization)和(或)新功能化(neofunctionalization),从而使这些重复基因有可能保留在生物体中,增添生物的遗传稳定性(robustness)和多样性。MADS-box基因在植物(特别是在被子植物)的进化过程中发生了大量的基因重复事件而形成一个多基因家族。MADS-box基因家族的不同成员在植物生长发育过程中起着非常重要的作用,在调控开花时间、决定花分生组织和花器官特征,以及调控根、叶、胚珠及果实的发育中起着广泛的作用。开展对MADS-box基因家族成员的序列结构、表达模式及编码蛋白的功能研究可以为这些同源基因在生物体中的可能命运提供很好的实验依据。本研究以我国特有的蔷薇科物种太行花做实验材料,通过3’ RACE和5’ RACE方法从太行花中克隆了7个MADS-box家族的基因。序列和系统进化树分析表明这7个基因分别与拟南芥的MADS-box基因AG、SHP(SHP1/2)、PI、AP1、FUL和SEP1以及与矮牵牛MADS-box基因PhTM6具有很高的同源性并聚为一支,从而将这7个MADS-box基因分别命名为TrAG(Taihangia rupestris AG)、TrSHP(Taihangia rupestris SHP)、TrPI(Taihangia rupestris PI)、TrAP1(Taihangia rupestris AP1)、TrFUL(Taihangia rupestris FUL)、TrSEP1(Taihangia rupestris SEP1)和TrTM6(Taihangia rupestris PhTM6)。针对克隆的这些基因,具体进行了以下几方面的研究: 第一,对TrAG和TrSHP两个MADS-box基因进行了研究,它们分别属于AG亚家族中旁系同源进化系euAG和PLE进化系的成员。通过原位杂交的方法分析了旁系同源基因TrAG和TrSHP的表达方式是否发生了分化;构建组成型表达载体转化野生型拟南芥,分析了TrAG和TrSHP的编码蛋白的功能是否发生了改变;并进一步通过酵母双杂交的方法比较了TrAG和TrSHP的相互作用方式是否发生了分化。原位杂交分析表明,TrAG和TrSHP主要在雄蕊、心皮和胚珠中表达。在花发育过程中,TrAG起始表达比TrSHP早,在随后将形成雄蕊和心皮原基的分生组织区域以及雄蕊原基中表达;然而直到雄蕊原基出现前未检测到TrSHP的表达。在雄蕊原基形成之后,TrAG和TrSHP在发育的雄蕊、随后将产生心皮原基的分生组织区域以及心皮原基中表达。在花发育的晚期,TrAG在发育的柱头、花柱以及胚珠中均有表达,而TrSHP仅在胚珠中表达。35S::TrAG和35S::TrSHP转基因拟南芥植株表现出相似的表型,包括开花提前;莲座叶和茎生叶向腹卷曲、变小;花芽在时期13前即开放,萼片包裹不住花芽;萼片和花瓣分别被同源异型转化为心皮化和雄蕊化器官,并在萼片向腹面产生异位的胚珠;在茎生叶上产生柱头化的乳突和胚珠;子房弯曲;果实提前沿着开裂区裂开,暴露出胚珠。此外,也观察到35S::TrAG和35S::TrSHP转基因拟南芥植株的一些表型差异,35S::TrAG转基因拟南芥植株花芽呈暗绿色,而35S::TrSHP转基因拟南芥植株花芽呈黄绿色;不同与35S::TrAG转基因植株表型的是,35S::TrSHP转基因拟南芥植株花被脱落受到了抑制,偶尔可以观察到花丝基部融合,果实变短、育性降低。酵母双杂交分析表明TrAG可以与TrSEP3相互作用,而TrSHP不能与TrSEP3形成异源二聚体。以上研究结果表明做为旁系同源基因,TrAG和TrSHP在表达方式上发生了改变,在蛋白编码序列上保持了其祖先的功能,但是编码序列的一些差异还是导致它们之间生化作用方式的不同和一定程度上的亚功能化。基于以上研究结果并结合先前报道的在拟南芥、金鱼草和矮牵牛等物种中旁系同源基因的表达和功能数据,我们提出在不同物种中旁系同源基因在进化过程中维持部分功能冗余(redundant),但是也通过改变表达方式、编码蛋白的功能及蛋白相互作用方式呈现出不同形式的亚功能化和(或)新功能化。 第二,对TrPI基因的功能也进行了初步研究,它属于AP3/PI亚家族PI-like进化系的成员。原位杂交结果表明,TrPI主要在花瓣、雄蕊和胚珠中表达。显示出TrPI与拟南芥同源基因PI保守的表达模式。35S::TrPI转基因拟南芥植株莲座叶发生延迟、变小、并且第一至第三片莲座叶呈白色针状;莲座叶和茎生叶并不像野生型呈有规则的螺旋状排列;花序茎基部、中间或顶端发生2-3个分支;在茎生叶的叶腋内的花序抽出时间明显晚于野生型,并且很小甚至不能完全抽出而藏在叶腋内。低温条件下转基因植株莲座叶的表型更加明显,表现为莲座叶变为针状,无叶片,仅有叶柄结构。这明显不同于35S::PI转基因拟南芥植株的表型。此外,酵母双杂交分析表明TrPI自身可以形成同源二聚体。这种相互作用方式也不同与拟南芥中PI的相互作用方式。以上研究结果表明,TrPI可能与拟南芥PI具有保守的表达模式但编码的蛋白可能获得了新的功能。 第三,构建了一个AP1-like基因(TrAP1)的过量表达载体,转化野生型拟南芥植株,通过反向遗传学分析了TrAP1的功能。35S::TrAP1转基因拟南芥植株开花提前;花序以两朵花终止,形成terminal flower的表型;偶尔可以观察到雄蕊转化为花瓣化的器官;莲座叶呈黄绿色并且其边缘呈锯齿状。酵母双杂交分析表明TrAP1蛋白自身可以形成同源二聚体。这些结果表明TrAP1可能与拟南芥同源基因AP1具有保守的功能。

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Long-term changes in chlorophyll production were predicted from environmental variables for the Sacramento and San Joaquin rivers and Suisun Bay using Box-Jenkins transfer function models. Data used for the analyses were collected semimonthly or monthly between 1971 and 1987. Transfer function models developed to describe changes in chlorophyll production over time as a function of environmental variables were characterized by lagged responses and described between 39 and 51 percent of the data variation. Significant correlations between environmental variables and the California climate index (CA SLP) were used to develop a conceptual model of the link between regional climate and estuarine production.

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Quality of boxed cod and haddock was compared with that of penned fish in terms of organoleptic grading, trimethylamine values, Intelectron Fish Tester readings and fish and fillet yield. Boxed fish showed a higher percentage of grade one fish than penned fish. TMA values, however, did not differ greatly. There was less physical damage due to squeezing with boxed fish and consequently a greater yield of landed round fish and fillets.

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Hourly productivity levels in the UK still remain behind those in some competitor countries. The government devotes much policy attention to enhancing productivity and continues to emphasise its five drivers - investment, innovation, skills, enterprise, and competition. This article argues that it is investment broadly defined that is the key to sustained productivity improvement. The emphasis should be on improving productivity simultaneously with improving the quality of production. Only thus will the gains be widely shared. In achieving these aims there are two prerequisites for policy-makers. The first is to ensure better coordination of policy than appears to be currently achieved by the present departmental structures in Whitehall. The second is to recognize fully the long and complex chain of causation that can be triggered by pulling on one policy lever. Such complexity can only be fully understood by more research on what actually goes on inside the black box of the organization. © 2006 Oxford University Press.

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Chapter 20 Clustering User Data for User Modelling in the GUIDE Multi-modal Set- top Box PM Langdon and P. Biswas 20.1 ... It utilises advanced user modelling and simulation in conjunction with a single layer interface that permits a ...

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A theoretical description of the turbulent mixing within and the draining of a dense fluid layer from a box connected to a uniform density, quiescent environment through openings in the top and the base of the box is presented in this paper. This is an extension of the draining model developed by Linden et al. (Annu. Rev. Fluid Mech. vol. 31, 1990, pp. 201-238) and includes terms that describe localized mixing within the emptying box at the density interface. Mixing is induced by a turbulent flow of replacement fluid into the box and as a consequence we predict, and observe in complementary experiments, the development of a three-layer stratification. Based on the data collated from previous researchers, three distinct formulations for entrainment fluxes across density interfaces are used to account for this localized mixing. The model was then solved numerically for the three mixing formulations. Analytical solutions were developed for one formulation directly and for a second on assuming that localized mixing is relatively weak though still significant in redistributing buoyancy on the timescale of the draining process. Comparisons between our theoretical predictions and the experimental data, which we have collected on the developing layer depths and their densities show good agreement. The differences in predictions between the three mixing formulations suggest that the normalized flux turbulently entrained across a density interface tends to a constant value for large values of a Froude number FrT, based on conditions of the inflow through the top of the box, and scales as the cube of FrT for small values of FrT. The upper limit on the rate of entrainment into the mixed layer results in a minimum time (tD) to remove the original dense layer. Using our analytical solutions, we bound this time and show that 0.2tE ≈tD tE, i.e. the original dense layer may be depleted up to five times more rapidly than when there is no internal mixing and the box empties in a time tE. © 2010 Cambridge University Press.

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利用组织原位杂交技术,以地高辛标记的反义RNA为探针,检测了金鱼(Carassius auratus)DEAD-box家族基因p68和p110在卵子发生及精子发生中的表达分布特点。结果表明:在金鱼配子发生中,p68基因在各个时期的卵母细胞均有表达,Ⅰ、Ⅱ期卵母细胞中的表达水平较Ⅲ、Ⅳ期卵母细胞中更高。p68基因的表达只限于精原细胞和初级精母细胞中。p110基因在金鱼精子发生各阶段持续表达,其中精原细胞和初级精母细胞中表达水平较高;在卵子发生中,Ⅰ期卵母细胞中没有p110 RNA阳性信号,Ⅱ期卵母细胞中信号

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通过PCR克隆的方法,从黄鳝(Monopterus albus)中得到两个PL10 基因的cDNA片段Mo PL10A和Mo PL10B,长度均为1.127 kb,推测其编码375个氨基酸的蛋白片段.结合其他PL10类同源物序列,对这两条cDNA进行了分析和初步的功能推测.根据此片段的氨基酸序列构建的系统发育树与形态分类结果一致.在不同组织中的RT PCR结果表明Mo PL10A和Mo PL10B的mRNA在各组织中的分布有差异.

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We propose a novel information-theoretic approach for Bayesian optimization called Predictive Entropy Search (PES). At each iteration, PES selects the next evaluation point that maximizes the expected information gained with respect to the global maximum. PES codifies this intractable acquisition function in terms of the expected reduction in the differential entropy of the predictive distribution. This reformulation allows PES to obtain approximations that are both more accurate and efficient than other alternatives such as Entropy Search (ES). Furthermore, PES can easily perform a fully Bayesian treatment of the model hyperparameters while ES cannot. We evaluate PES in both synthetic and real-world applications, including optimization problems in machine learning, finance, biotechnology, and robotics. We show that the increased accuracy of PES leads to significant gains in optimization performance.