公益征收程序的价值取向初论

公益征收程序的价值取向是一重要的理论和实践问题。在分析一些国家和地区的立法和实践的基础上，本文提出公益征收程序应注重公共利益和个人利益的协调，充分保障行政相对方的合法权利。     

层合中厚非圆截面柱壳非线性动力稳定性分析

基于Timoshenko-Midlin假设及Hamilton变分原理,建立了层合中厚非圆柱壳的非线性运动控制方程,采用伽辽金技术,得到仅含时间参数的Mathieu型方程,然后应用增量谐波平衡法进行求解.数值计算中,以两端简支L曲线截面层合中厚柱壳为例,讨论了截面形状参数、几何非线性和横向剪切效应等因素对层合中厚非圆截面柱壳非线性动力稳定性的影响.结果表明:这些因素对层合L曲线截面中厚柱壳的非线性主要动力不稳定区域有较大影响.     

海蓬子海水农业生态工程的构建

针对人类经济活动带来的生态环境恶化，如海岸遭受侵蚀与水土流失，海水污染与土地盐渍化，沙荒化等，介绍了北美海蓬子生物学特性、生产特性及其利用价值，并提出利用海蓬子生物资源治理与恢复海岸生态环境，治理沙荒化，实现资料的可持续利用和良性发展的构思。     

桂西乡镇经济发展若干思路—以巴马瑶簇自治县甲篆乡为例

通过对桂西乡镇基本情况的分析，并以巴马瑶族自治县甲篆为例，提出了立足本地优势资源，突出发展以观光农业、生态农业、特色农业为主的高效农业和旅游业的经济发展思路。     

Virtual Logistics and Its Development

The research of virtual logistics is a front task in the field of logistics management research. This paper explains the meaning of the virtual logistics and virtual logistics organization in detail based on the analysis on various existing concepts of them, introduces the actuality of the research concerning virtual logistics. Then a three dimensionality research framework and major research contents of virtual logistics are proposed. Four development directions of virtual logistics research and corresponding research emphases are pointed out.     

太子参根际促生菌组合对间作玉米种子活力及幼苗生长的影响

为了探明太子参根际促生菌组合对间作玉米种子萌发及幼苗生长的影响。采用25析因试验设计,通过恒温萌发试验,研究了5个根际促生菌株不同组合对太子参间作玉米种子活力及幼苗生长的影响。结果表明,菌株组合A1B1C2D2E2、A2B1C1D2E1(或A2B2C1D1E1)、A1B1C1D1E1、A1B2C2D2E2、A1B1C2D2E2、A1B2C2D2E1、A2B2C2D1E1、A1B1C2D1E2、A1B2C2D2E2分别对种子发芽势、发芽率、脱氢酶活性、幼苗长、胚根长、下胚轴长、须根数、幼苗干重和根干重的影响作用最明显。根际促生菌对玉米幼苗长、胚根长、下胚轴长、须根数、幼苗干重、根干重的作用存在交互作用,其中菌株组合A1B1C1D2E1明显增加玉米幼苗干重、根干重及促进幼苗生长,有望用于太子参微生物肥料的研制中。     

Applications of SOM Neural Network in Multiple-faults Diagnosis of Turbogenerator Set

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. The traditional BP neural network can diagnose the single fault effectively. If we diagnose the multiple faults by using the BP neural network, we must train all samples of multiple faults, which is will increase the number of training samples and the burden of learning greatly. So the diagnosis can not be performed easily. This paper introduces a method based on SOM neural network, which is studied by using the single sample and diagnosing the multiple faults according to the position of output nerve cell. By analyzing the examples, the method is proved to be available for diagnosing the multiple faults of Turbogenerator set.