食物及挥发物对米象、玉米象及锯谷盗诱集效果的研究

针对为减少粮食损失、减少熏蒸剂的用量,而运用食物引诱剂对仓虫监控和防治这一重要课题,本研究在实验室条件下测试2种食物和4种食物中对害虫有引诱作用的有效化学成分单一或组合时对3种害虫的诱集效果,从而筛选出对每种实验昆虫诱集效果最佳的诱集物配比方案。试验表明,对米象诱集效果最好的组合为香草醛(0.012 g)+二氯甲烷(0.5 m L)+亚油酸(2.5 m L)+二十烷(0.02 g),诱集率最高可以达到65.2%;对玉米象诱集效果最好的为单一米糠,诱集率可达74%;对锯谷盗诱集效果最好的是单一的诱集物香草醛,诱集率最高可以达到64%以上。     

蚁群算法一阶欺骗性问题的时间复杂度分析

文中研究蚁群算法求解欺骗性问题时的时间复杂度。以蚁群算法一阶欺骗性问题n-bit陷阱问题为例, 证明使用信息素带限的最大最小蚁群算法求解n-bit陷阱问题达到最优解的时间复杂度为O(n²mlnn),其中n为问题的规模,m为蚂蚁的个数。实验结果验证上述结论的正确性。     

Some aspects of dynamic headspace analysis of volatile components in honey

Purge and Trap (P&T) has been evaluated as a fractionation technique for the GC–MS analysis of the most volatile compounds in honey. The volatile fraction of twenty-two commercial honeys of eight different botanical sources (eucalyptus, thyme, citrus, rosemary, heather, lavender, multiflower and honeydew) was characterized by P&T–GC–MS. Hundred volatile compounds were characterized, 18 of them being determined for the first time in honey. Compounds detected included volatiles derived from the floral nectar or honeydew source such as terpenes, furan derivatives from honey processing and storage and other compounds whose origin could be related to microbial or environmental contamination. This method has also been validated with regard to data reproducibility; with relative data (percentage of total volatile composition) showing a better precision over quantitative results calculated using an internal standard. Application of multivariate statistical analysis to P&T–GC–MS data has shown to be very promising to classify samples according to their botanical origin.     

计算机网络安全应急响应技术的分析与研究

结合实际工作经验和研究成果,在分析安全应急响应技术发展动态的基础上,对网络入侵检测、事件隔离与应急恢复、取证、网络陷阱及诱骗等应急响应关键技术进行了分析和研究。构建了一个网络安全应急响应系统,并对系统的工作机制进行了分析。     

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柴达木盆地第四系沉积时,气候寒冷干燥,水体含盐度高,有利于生物气的生成,从古气候,古水体,气源岩,储集层,封盖层以及圈闭条件,保存条件等方面阐述了该区第四系生物成因甲烷气的形成背景和聚集条件,并着重强调;充足的气源条件,良好的储盖组合以及适时的圈闭准备是第四系生物气形成规模聚集的前提条件,而良好的后期保存条件则是第四系生物气勘探取得成功的重要保障,根据统计资料和对已知气田的解剖研究结果,结合圈闭发育史和沉积相研究,建立了第四系生物气的动态成藏模式;阐明第四系生物气藏的纵向分布受源岩和盖层的共同控制,而气藏的横向分布则严格受控于构造圈闭。     

Al/LB绝缘膜/Si结构界面态研究

I—V特性法表明单层LB聚酰亚胺膜(～0.5nm)MIS结构的界面态密度为10~(12)～10~(13)cm~(-2)eV~(-1)。对11和41层LB聚酰亚胺膜,DLTS测试得到的界面态密度分别为10~(12)～10~(13)和10~(11)～10~(12)cm~(-2)eV~(-1)。所有结果表明,在硅禁带中央附近具有较大的界面态密度。     

以光老化试样验证聚烯烃击穿的陷阱理论

在聚合物电老化击穿的陷阱理论中，介电强度与陷阱密度呈函数关系，这已在电老化试样上得到证实。本文用光辐射改变试样的陷阱密度，从光降解动力学推导其变化规律。在光老化过程中，同时测量聚丙烯试样的击穿电压、自由基浓度、微孔的变化和陷阱密度。试验结果表明，陷阱密度的变化直接反映着试样微观结构的变化，陷阱密度和介电强度的变化规律符合理论分析。     

圈闭地质评价中模糊数学综合评判法的优势

圈闭地质评价是进行油气资源评价的核心工作。为了克服常规含油气性及其优劣程度评价过程中许多定性因素带来的诸多不便,模糊数学综合评判法把“亦此亦彼”中间过度的模糊概念用数学方法来处理,并对圈闭含油气性及其优劣程度进行定量分析评价,充分体现了模糊数学综合评判法在圈闭地质评价中的优势所在。     

Device performance and density of trap states of organic and inorganic field-effect transistors

Trap states, present in any semiconductor, have a large influence on charge transport as well as various other physical processes relevant for device performance. Therefore, quantifying the density of trap states (trap DOS) in a semiconductor is a crucial step towards understanding and improving field-effect transistors (FET), organic photovoltaic cells (OPV) and organic light-emitting diodes (OLED). We present a method to determine the free vs. total charge carrier density in FETs, and therefore the trap DOS, through full normalization of the transfer curve. We apply this method to many different materials, prepared under a wide range of processing conditions, e.g. organic single crystals, thermally evaporated and inkjet printed thin-films, leading to various degrees of order/disorder. They are compared to inorganic thin-films. A quantitative analysis of the spectral density of the trap DOS reveals the trap DOS in p- and n-type semiconductors to be very similar provided they have a similar morphology. The variation by 3 orders of magnitude is dominated by the degree of crystalline order. Further, the trap DOS in organic materials is essentially the same as in inorganic materials, again, provided they have a similar morphology. Surprisingly, ink-jet printed organic polymers have a relatively low trap DOS, which is in between the one of organic single crystals and thin-films.     

柴达木盆地乌南油田中浅油藏预测

乌南构造为一断块分割鼻状含油构造。勘探３０年来，有８口井在５个区块内分获工业油气流。但因地震地质条件复杂，圈闭条件、油藏分布及控制因素不清，致使油田的详细评价和开发部署难以开展。本项研究首先对该区３００ｋｍ地震老资料进行了精细的保幅处理和特殊处理。根据花状构造模式，采用新的解释方法对油藏构造进行了精细描述。在此基础上，利用地震储层横向预测技术对该区Ｎ１２层段３个主要储集砂层组进行了预测，根据ＡＶＯ和ＭＡＲＰＬＥ谱等异常信息预测了油藏的空间展布和油气富集区，发现了新的有利含油区块，增加了含油百积和地质储量。