多产柴油的催化裂化动力学模型

在已开发的重油催化裂化十一集总动力学模型的基础上，对参数估计方法进行了改进，建立了一步法确定模型动力学参数的方法，并通过一步法得到了MLC-500催化剂多产柴油裂化的动力学参数，模型的实验室验证表明，动力学参数是可靠的。     

双(3-甲氧基-4-羟基)苯甲醛合氢氧化锌配合物的晶体结构

合成双 ( 3-甲氧基 - 4-羟基 )苯甲醛合氢氧化锌配合物 ,测定红外光谱、热重、单晶结构 ,晶体C16H18O8Zn属单斜晶系 ,空间群为Cc ,晶胞参数 :a =2 .2 1 6 7( 4 )nm ,b =1 .0 540 ( 2 )nm ,c =0 .780 0 ( 2 )nm ,β =1 0 6 .9°,Z =4。结构解析最终一致性因子R1=0 .0 390 ,wR2 =0 .0 91 6。中心Zn原子通过 6个O原子形成八面体结构的配合物。分子间通过氢键和范德华力形成 3D网状超分子结构     

Systems Thinking and Scenario Planning: Application in the Clothing Sector

Industrial sectors that operate in uncertain environments - with demand variability, product seasonality and different industrialisation structures - need studies that enable identification and forecast trends. Therefore, the development of competitiveness extends beyond a company’s individual performance. Collective action, whether toward consumer markets, supplier markets, competitors and substitutes, can reinforce or help reformulate the current practices of an organisation, besides providing better results in the development of strategies and competitive positioning. Thus, clothing, the sector addressed in this work, is characterised by a long, fragmented, heterogeneous production chain, the competitiveness of which is linked to product differentiation. Therefore, the use of systemic approaches to study this sector is effective. In this sense, this research aims at adapting Systems Thinking and Scenario Planning (STSP) so that it supports the development and planning process in a given sector. Thus, this research applies STSP adapted to an analysis of the clothing sector in the northern region of Rio Grande do Sul State, Brazil. As a result, in academic terms, this research proposed and validated a method for analysing industrial sectors of the clothing industry. In the sectoral context, this research identified elements that leverage the sector’s competitiveness, besides generating knowledge and learning aimed at strengthening the sectoral structure identified, and fostering the formation of a new clothing cluster.     

耐久性阻燃尼龙-6织物的研制

提出以羟甲基改性尼龙-6织物与反应型有机磷系,溴系阻燃剂进行,耐久性阻燃整理的新方法,讨论不同阻燃整理液对尼龙－6织物阻燃性能的影响,确定最佳阻燃整理液的配方,并通过正交化实验寻找合理的复合工艺参数,红外光谱和元素分析结果表明,羟甲基改性尼龙－6织物与阻燃剂通过化学键结合,所得织物手感良好,阻燃耐久性优良。     

Temporal precision in the neural code and the timescales of natural vision

The timing of action potentials relative to sensory stimuli can be precise down to milliseconds in the visual system, even though the relevant timescales of natural vision are much slower. The existence of such precision contributes to a fundamental debate over the basis of the neural code and, specifically, what timescales are important for neural computation. Using recordings in the lateral geniculate nucleus, here we demonstrate that the relevant timescale of neuronal spike trains depends on the frequency content of the visual stimulus, and that 'relative', not absolute, precision is maintained both during spatially uniform white-noise visual stimuli and naturalistic movies. Using information-theoretic techniques, we demonstrate a clear role of relative precision, and show that the experimentally observed temporal structure in the neuronal response is necessary to represent accurately the more slowly changing visual world. By establishing a functional role of precision, we link visual neuron function on slow timescales to temporal structure in the response at faster timescales, and uncover a straightforward purpose of fine-timescale features of neuronal spike trains.     

高能p碰撞过程中的光生SM Higgs玻色子(英文)

计算了LHC条件下 ,p p以质心系能量为 s =1 4TeV以及 2 0 0TeV碰撞过程中的光生标准模型Higgs玻色子截面 .结果表明 ,在此条件下 ,可以在质量区 50～ 30 0GeV内测量到SMHiggs玻色子 .     

基于改进型BP算法的外债风险指标预测

利用人工神经网络进行时间序列预测是一种较新的方法,它具有不需建立复杂的数学模型以及非线性映射能力强等优点。采用动量法和学习率自适应调整的改进型BP算法对外债风险的各项指标进行了非线性时间序列的预测。仿真结果表明神经网络模型对外债风险的各项指标预测的结果是准确可靠的。     

The genome sequence of the rice blast fungus Magnaporthe grisea

Magnaporthe grisea is the most destructive pathogen of rice worldwide and the principal model organism for elucidating the molecular basis of fungal disease of plants. Here, we report the draft sequence of the M. grisea genome. Analysis of the gene set provides an insight into the adaptations required by a fungus to cause disease. The genome encodes a large and diverse set of secreted proteins, including those defined by unusual carbohydrate-binding domains. This fungus also possesses an expanded family of G-protein-coupled receptors, several new virulence-associated genes and large suites of enzymes involved in secondary metabolism. Consistent with a role in fungal pathogenesis, the expression of several of these genes is upregulated during the early stages of infection-related development. The M. grisea genome has been subject to invasion and proliferation of active transposable elements, reflecting the clonal nature of this fungus imposed by widespread rice cultivation.     

HIV preferentially infects HIV-specific CD4+ T cells

HIV infection is associated with the progressive loss of CD4(+) T cells through their destruction or decreased production. A central, yet unresolved issue of HIV disease is the mechanism for this loss, and in particular whether HIV-specific CD4(+) T cells are preferentially affected. Here we show that HIV-specific memory CD4(+) T cells in infected individuals contain more HIV viral DNA than other memory CD4(+) T cells, at all stages of HIV disease. Additionally, following viral rebound during interruption of antiretroviral therapy, the frequency of HIV viral DNA in the HIV-specific pool of memory CD4(+) T cells increases to a greater extent than in memory CD4(+) T cells of other specificities. These findings show that HIV-specific CD4(+) T cells are preferentially infected by HIV in vivo. This provides a potential mechanism to explain the loss of HIV-specific CD4(+) T-cell responses, and consequently the loss of immunological control of HIV replication. Furthermore, the phenomenon of HIV specifically infecting the very cells that respond to it adds a cautionary note to the practice of structured therapy interruption.