Expression of putative zinc-finger protein lcn61 gene in lymphocystis disease virus China （LCDV-cn） genome

An open reading frame (lcn61) of lymphocystis disease virus China (LCDV-cn), probably responsible for encoding putative zinc-finger proteins was amplified and inserted into pET24a (+) vector. Then it expressed in E. coli BL21 (DE3), and His-tag fusion protein of high yield was obtained. It was found that the fusion protein existed in E. coli mainly as inclusion bodies. The bioinformatics analysis indicates that LCN61 is C2H2 type zinc-finger protein containing four C2H2 zinc-finger motifs. This work provides a theory for functional research of lcn61 gene. Supported by High Technology Research and Development Program of China (863 Program, No. 2006AA100309)     

全球化背景下的南京港城关联发展效应分析

运用灰色关联分析法,通过计算港城关联发展的均值关联度,对近10年南京港城关联发展效应进行了定量测度。研究结果表明:南京港城关联发展效应总体上比较显著,但具有明显的阶段性,其中: 1990年到1994年,港城关联发展效应呈弱化状态,1994年到1998年呈强化态势,1998年以后则呈现明显的弱化趋势。城市产业结构的变动、港口功能的演变、周围港口的激烈竞争以及港口管理体制和国际贸易的发展是导致上述动态特征的成因机制。     

基于多源遥感的聚落与多级人口统计 数据的关系分析

在四川省市州、区县和典型村等三级尺度上,探讨了基于多源遥感的聚落面积与多级人口统计数据的关系。首先,从LANSAT TM影像中提取农村和城镇聚落信息,从Quickbird 影像上提取农村聚落及其房屋地基信息。其次,通过叠加统计得到各级统计单元内的聚落面积;再次,在四川省市州和区县尺度上,分别对城乡聚落面积和总人口数、城镇聚落面积和非农业人口数、农村聚落面积和农业人口数等进行相关性分析, 城镇聚落和非农业人口数的相关系数最高,分别为0.962和0.791,并建立了基于城镇聚落面积的非农业人口数估算模型,其模型的判定系数分别为0.926和0.625;最后,在村级尺度上,对农村聚落及其房屋地基面积与农村人口数之间的相关性进行分析,其相关系数分别为0.806和0.825,分别建立基于农村聚落及其房屋地基面积的农村人口数估算模型,其模型的判定系数分别为0.65和0.68。研究表明,LANDSAT TM适用于大尺度的非农业人口估算,估算效果随尺度的降低而有所降低;Quickbird适合于精细尺度的农业人口估算。     

Effect of Penetration Rates on the Piezocone Penetration Test in the Yellow River Delta Silt

Partial drainage often occurs during piezocone penetration testing on Yellow River Delta silt because of its intermediate physical and mechanical properties between those of sand and clay.Yet,there is no accurate understanding for the range of penetra-tion rates to trigger the partial drainage of silt soils.In order to fully investigate cone penetration rate effects under partial drainage condi-tions,indoor 1 g penetration model tests and numerical simulations of cavity expansion at variable penetration rates were carried out on the Yellow River Delta silt.The boundary effect of the model tests and the variation of key parameters at the different cavity ex-pansion rates were analyzed.The 1 g penetration model test results and numerical simulations results consistently indicated that the penetration rate to trigger the partially drainage of typical silt varied at least three orders of magnitude.The numerical simulations also provide the reference values for the penetration resistance corresponding to zero dilation and zero viscosity at any given normalized penetration rate for silt in Yellow River Delta.These geotechnical properties can be used for the design of offshore platforms in Yel-low River Delta,and the understanding of cone penetration rate effects under the partially drained conditions would provide some technical support for geohazard evaluation of offshore platforms.     

乌拉山地区遥感蚀变信息提取研究

根据研究区蚀变岩在ETM图像上的光谱特征,利用比值增强、主成分分析及比值增强后主成分分析等方法,对内蒙古乌拉山地区蚀变岩信息进行增强,进而采用均值加标准差与最优密度分割相结合的方法对蚀变信息进行提取和分析。通过多层次的筛选和评估,划出真异常区,制作遥感异常图。     

Trace Elements Analysis of Geological Samples by Laser Ablation Inductively Coupled Plasma Mass Spectrometry

ＩＮＴＲＯＤＵＣＴＩＯＮＬａｓｅｒａｂｌａｔｉｏｎｉｎｄｕｃｔｉｖｅｌｙｃｏｕｐｌｅｄｐｌａｓｍａｍａｓｓｓｐｅｃｔｒｏｍｅ ｔｒｙｉｓａｎｉｎｃｒｅａｓｉｎｇｌｙｄｅｖｅｌｏｐｅｄａｎａｌｙｔｉｃａｌｔｅｃｈｎｉｑｕｅｆｏｒｓｏｌｉｄｓａｍｐｌｅａｎａｌｙｓｉｓ.ＬＡ ＩＣＰ ＭＳｏｆｆｅｒｓａｔｔｒａｃｔｉｖｅｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｈｉｇｈｓｅｎｓｉｔｉｖｉｔｙ ,ｌｏｗｄｅｔｅｃｔｉｏｎｌｉｍｉｔｓ,ｍｉｎｉｍａｌｓａｍｐｌｅｐｒｅｐａｒａ ｔｉｏｎ ,ｌｅｓｓｏｘｉｄｅｓｉｎｔｅｒｆｅ…     

东准噶尔卡拉麦里金矿带构造控矿特征及有利度分析

东准噶尔卡拉麦里金矿带是新疆重要的成矿带之一,已经发现的金矿床（点）有100多处。区内断裂构造极为发育,主要的断裂构造有卡拉麦里深大断裂、清水—苏吉泉断裂和库普大断裂,由大断裂派生的次级断裂广泛发育,与金的成矿关系极为密切。在已有研究的基础上,借助遥感解译技术,在数理统计的基础上,总结了卡拉麦里金矿带构造控矿特征,并初步进行了有利度分析。结果表明：北西—北西西向的断裂为该成矿带内极为有利的控矿构造,其控制了成矿带的展布,与其共生的次级断裂和派生断裂为容矿构造,控制着矿床（点）的位置。北东—北东东和北东对金矿的控矿作用不明显。金矿床（点）多分布在5~15个/100 km²的密度区内。线性构造交汇点密度高峰值为25个/100 km²,随着密度值的增高,金矿床（点）逐趋减少。     

姑山铁矿东帮河堤的稳定性分析

基于极限平衡理论，采用以简化毕肖普法为主，费伦纽斯法作为参照的分析方法，对姑山铁矿采矿场东帮及青山河河堤防渗加固后的稳定性进行了分析评价，根据不同的爆破震动大小，得出背水面和迎水面多个安全系数值，取得了较为可靠的分析结果。     

Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.     

A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations

Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-environment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theoretical analysis of the interactive coupling mechanisms and coercing effects between urbanization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore, we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomerations. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.