Strategy,policy, and the formulation of maritime cluster typologies

In recent years, clusters of industry have attracted multilateral attention, from academia and practice, alike. Clusters of industry relate to harbouring regional competitiveness; as such, they have come to be considered as important constructs for strategy and policy, that can be deemed as complementary domains. At the same time, maritime clusters are regarded as dynamic cases from a multitude of viewpoints. The concepts of strategic policy, particularly as they pertain to maritime clusters, require deeper understanding and more thorough analysis. In this context, cluster typologies surface as a useful instrument that can offer valuable insight. While this field instils the eventuality of facilitating policy and strategy within clusters, it remains relatively barren. This instance may present the opportunity to better elaborate on the formulation of models and frameworks that address the intricacies within maritime clusters. The research conducted introduces a three-tier framework for the generation of maritime cluster typologies, that bears the potential to enrich strategic management and its eventual policy implications, towards a more streamlined and informed manifestation.     

Fine-scale compositional variations in a Co-rich Mn crust from the Marcus-Wake Seamount cluster in the western Pacific based on electron microprobe analysis (EMPA)

The internal structure and composition of a 37-mm-thick Co-rich Mn crust from the Lamont Guyot in the Marcus-Wake Seamount cluster have been studied in detail by means of electron-probe microanalysis (EPMA). 184 point analyses for 16 elements were carried out at an average spacing of 0.20 mm and each point was dated using the Co-geochronometer method. Two types of variation in composition were observed in the crust: long-term trends and short-term erratic variations. The long-term trends were identified using the fifth order polynomial. Mn and Ni were shown to increase in concentration from 23.3 Ma to a maximum at about 20 Ma and then decline steadily to the Present, whereas Fe, P and Si showed the opposite trend. By contrast, Co displayed a double humped pattern with maxima at about 19 Ma and 3.5 Ma and minima at 23.3 Ma, about 11 Ma and at Present. The long-term trends in element concentrations in the crust lead us to suggest that much of the Fe in western Pacific Ocean ferromanganese crusts is aeolian in origin and derived from the deserts of central Asia. Cooling of the Asian mainland at about 20 Ma led to an increase in the flux of Fe to the oceans. This was supplemented by an additional input of Fe into the crusts as a consequence of the dissolution of biogenic CaCO₃ tests at 4.5−10.5 Ma. For the short-term erratic variations, three periods of 0.61, 0.96 and 1.65 m.y. were identified by spectral analysis. The second harmonics of these periods are 1.22, 1.92 and 3.30 m.y., which may correspond to the highest-order periods for eccentricity of 1.31, 2.04 and 3.47 m.y. This suggests the possibility that the high-frequency oscillations of the time series data are linked to climatic changes controlled by the highest-order periods of the Milankovitch cycles.     

Recombination emission from protoglobular clouds on high redshifts

Fluxes in hydrogen and helium lines from Proto-Globular Clusters (PGCs) at redshifts z > 1 are estimated. A supernovae remnant in PGCs is considered as a possible source. Intensities in Lyα,Hα and 1640 Å HeI are calculated. It is shown that such PGCs can be detectable for the ongoing and future projects.     

一次中尺度强降水天气过程分析

利用常规观测资料、卫星云图、自动站气象观测资料和多普勒雷达等资料,对2011年6月16日玉林市南部一次中尺度强降水过程进行天气动力学和中尺度分析,结果表明：这次暴雨是在有利的大尺度环流背景下．通过中尺度系统激发而产生的。高空低槽和低空切变辐合是强降水产生的前提条件,中尺度对流云团强烈发展是强降水产生的直接原因;分析红外...     

阿尼玛卿山地祁连圆柏径向生长对气候的响应

通过对阿尼玛卿山地5 个坡面20 个祁连圆柏树轮宽度标准年表的分析, 发现公共区间内各树木年轮宽度标准年表中的信噪比SNR 和样本总解释量EPS 值都较高, 说明年表中都含有较强的环境信息; 树轮宽度年表之间的平均相关为0.35 (大多达到95%的置信程度), 具有较好的区域一致性。聚类分析使树木年轮宽度年表分成东、西两大部分, 而年表的第一主分量显示出: 西部树轮的指数序列明显长于东部即树木生长有自西向东扩展的趋势, 并且东、西区域树木生长变化的特征年变化具有同步性。东、西树轮宽度年表中第一主分量和第二主分量与气候因子的相关和响应都表现出一定的相似性, 但第二主分量对气候因子响应的差异性更显著。西部树木生长PCI 的主要限制因子是温度, 尤其当年春末夏初及前一年秋季温度影响最大, 同样降水也起着重要的作用, 西部树木生长PC2 的主要限制因子是降水量; 而东部树木生长PC1 主要受降水的制约, 第二主分量PC2 的响应分析显示出气候的滞后影响(树木前期生长) 是非常重要的限制因子。     

Virgo星系团的光度函数和质量函数

本文对Ｖｉｒｇｏ星系团中央６°天区内的成员星系作了光度函数和质量函数的研究。成员星系是以视向速度作为判据并合理地考虑了密度分布因素后确定的。研究表明，该天区全部成员星系的光度函数为Ｓｃｈｅｃｈｔｅｒ型，而各类Ｓ星系的光度函数则为Ｇａｕｓｓ型，且峰值位置按Ｓａ→Ｓｄ序列向暗端移动，宽度亦逐渐变宽；Ｖｉｒｇｏ团质量函数与恒星质量函数一样可以用指数形式来描述，文中还利用光度函数和质量函数对该团的形态和质量分层进行了讨论，并计算了该天区团的总光度。     

疏散星团NGC 6530的光度函数和分层效应

该文利用疏散星团NGC 6530的自行观测数据和成员判别结果,给出了星团的光度函数,并详细讨论了星团的质量分层效应。分析表明,NGC 6530存在空间质量分层效应,但并不存在速度质量分层,因此星团的表观空间质量分层可能起因于星团形成时的初始条件,而不是动力学弛豫的结果。     

时空大数据分布式增量IMSTDCA聚类方法研究

时空聚类分析是对时空大数据进行利用的一种有效手段,目前传统聚类算法存在着大规模分布数据难以处理,海量数据处理时间较长,确定参数困难,聚类质量较差等缺陷。因此,提出一种分布式增量聚类流程DICP,利用广域网分布增量聚类方法,避免大量数据的传输拷贝,有效提升聚类运算效率。对于DICP流程中的时空数据聚类算法本身,研究了一种大数据环境下的IMSTDCA时空数据聚类算法,借助密度聚类的思想,通过时空数据的聚集趋势预分析、时空数据聚类算法,以及时空数据聚类结果评价3个步骤完成聚类分析,实现时空大数据的快速高效信息挖掘。     

数学地质在激发极化法中的应用

激发极化法测得的四组参数ρ、ｈ、Ｊ和Ｄ，是判断煤矿采空区积水情况的重要依据。但在传统的资料处理过程中，作图量大，且异常特征不明显时又难以作了准确的判断。而数学地的聚类。而数字地质中聚类、判别分析方法，可以很好地解决这一难题。本文以实例介绍了这种方法的应用效果。