滑模施工在尼尔基厂房混凝土工程中的应用

尼尔基水利枢纽发电厂房的混凝土施工中，对闸墩和胸墙等部位的混凝土采用了滑模施工工艺，这样既加快了厂房施工进度，也保证了施工质量，挽回了发电厂房总体滞后的施工进度，取得了良好的效果，值得推广和借鉴。     

百年欧式俱乐部——汉口西商跑马场调查纪实

通过对汉口西商跑马场的调查，说明它移植武汉的经过和历程，以及它在建筑设计方面的一些特点。     

Host/guest complex of Me-β-CD/2,2-dimethoxy-2-phenyl acetophenone for initiation of aqueous photopolymerization: Kinetics and mechanism

Methylated-β-cyclodextrin (Me-β-CD) was used to complex the photoinitiator, 2,2-dimethoxy-2-phenyl acetophenone (DMPA), yielding a water-soluble host/guest complex. The comparative studies demonstrated that the Me-β-CD complexed DMPA exhibited a high photoreactivity identical to the uncomplexed DMPA, while the CD complex obviously influenced the products of primary photolysis of DMPA and the photopolymerization kinetics due to the steric effect of CD on the subsequent initiation reactions. The photopolymerization rate of acrylamide can be described by the equation: R_p=K[2a]^0.62[M]^1.37[I]^0.5[Me-β-CD]⁰. The mechanism of polymerization was also discussed.     

试论当代大学生IT素质的培养

从IT素质的涵义出发，论述了IT素质的涵盖内容、培养大学生IT素质的重要性以及IT素质的本质与特点．对高校树立人才培养新理念、培养优秀IT人才提出了有关建议及应对措施。     

石油石化行业专利申请中的数值范围分析

探讨了石油石化领域专利权利要求中涉及数值范围的一些问题。     

近期国内天然橡胶市场动态

本周（10月20～24日）亚洲天胶市场天胶价格小幅震荡，现货市场成交有限。期货沪胶在13000元震荡较为明显，市场商家仍多处于观望状态，对橡胶后市信心不足。本周CIF中国主港11月船期报价：泰国烟片胶RSS3外盘报价1640美元-1675美元／吨，泰国标准胶STR20外盘报价1550美元～1605美元／吨，印尼标准胶SIR20外盘报价1560美元～1580美元／吨，马来西亚标准胶SMR20外盘报价1670美元～1705美元／吨，越南标准胶SVR3L外盘报价1670美元-1705美元／吨，泰国乳胶外盘报价1340美元～1390美元／吨。本周国内天胶两大产区均未有成交，本周标准胶SCR5近期跟随期货市场价格波动，国内大部分销区市场主流报价在14700元～16000元／吨左右，下跌幅度高达1000元／吨左右。     

一氯胺消毒剂检测新技术及应用

讨论了传统一氯胺测定方法在应用中的局限性,并介绍了一种新的检测技术.实际应用表明该技术可以使水厂饮用水消毒中产生尽可能多的一氯胺,还可以使污水处理厂出水消毒中一氯胺的检测精确,而不受有机氯胺、亚硝酸盐和锰的干扰;帮助水厂控制过量投加氯和氨,从而降低成本.     

Effects of compressive and tensile stress on the growth mode of epitaxial oxide films

Oxide films were deposited on different substrates by laser molecular beam epitaxy. Reflection high-energy electron diffraction was performed to in situ investigate the change of growth mode and the lattice relaxation during the growth. An asymmetrical phenomenon was found in the two kinds of strain states, compressive stress and tensile stress of heterostructures with different lattice mismatch. In the case of BaTiO₃/SrTiO₃ (2.2%), 2D layer-by-layer growth mode without lattice relaxation can be maintained for a longer period for BTO films on STO with compressive stress, comparing to STO films on BTO with tensile stress. When MgO films were deposited on SrTiO₃ with a large mismatch of 7.8%, compressive stress leads to rapid lattice relaxation with a very thin wet layer, and 3D strained island were observed. As a comparison, SrTiO₃ films on MgO with tensile stress were configured. No RHEED patterns can be observed duo to a large tensile stress.     

The stress intensity factors for a short crack partially penetrating an inclusion of arbitrary shape

Some approximate solutions for predicting the stress intensity factor of a short crack penetrating an inclusion of arbitrary shape have been developed under mode I and mode II loading conditions. The derivation of the fundamental formula is based on the transformation toughening theory. The transformation strains in the inclusion are induced by the crack-tip field and remotely applied stresses, and approximately evaluated by the Eshelby equivalent inclusion theory. As validated by detailed finite element (FE) analyses, the developed solutions have good accuracy for different inclusion shape and for a wide range of modulus ratio between inclusion and matrix material.     

Integration of prior knowledge of measurement noise in kernel density classification

Samples can be measured with different precisions and reliabilities in different experiments, or even within the same experiment. These varying levels of measurement noise may deteriorate the performance of a pattern recognition system, if not treated with care. Here we seek to investigate the benefit of incorporating prior knowledge about measurement noise into system construction. We propose a kernel density classifier which integrates such prior knowledge. Instead of using an identical kernel for each sample, we transform the prior knowledge into a distinct kernel for each sample. The integration procedure is straightforward and easy to interpret. In addition, we show how to estimate the diverse measurement noise levels in a real world dataset. Compared to the basic methods, the new kernel density classifier can give a significantly better classification performance. As expected, this improvement is more obvious for small sample size datasets and large number of features.