Integration of the nuclease protection assay with sandwich hybridization (NPA-SH) for sensitive detection of Heterocapsa triquetra

Microalgae are photosynthetic microorganisms that function as primary producers in aquatic ecosystems. Some species of microalgae undergo rapid growth and cause harmful blooms in marine ecosystems. Heterocapsa triquetra is one of the most common bloom-forming species in estuarine and coastal waters worldwide. Although this species does not produce toxins, unlike some other Heterocapsa species, the high density of its blooms can cause significant ecological damage. We developed a H. triquetra species-specific nuclease protection assay sandwich hybridization(NPA-SH) probe that targets the large subunit of ribosomal RNA(LSU r RNA). We tested probe specificity and sensitivity with five other dinoflagellates that also cause red tides. Our assay detected H.triquetra at a concentration of 1.5×104 cells/m L, more sensitive than required for a red-tide guidance warning by the Korea Ministry of Oceans and Fisheries in 2015(3.0×104 cells/m L). We also used the NPA-SH assay to monitor H. triquetra in the Tongyeong region of the southern sea area of Korea during 2014. This method could detect H.triquetra cells within 3 h. Our assay is useful for monitoring H. triquetra under field conditions.     

澳大利亚南极科学数据管理综述

系统概述了澳大利亚国家南极数据政策、组织机构、管理模式、实施策略与未来发展所面临的问题。在此基础上分析澳大利亚南极数据工作的发展与实效,并回顾了中国的极地数据管理工作,初步表明建立一个有效的组织框架是顺利开展数据管理与共享工作的基础,完全基于Web的数据管理与服务对科学项目的管理与研究成果的产出具有较大的促进作用。同时可以看出,国家层面的数据管理工作首先必须有明确的国家数据政策作引导;需要建立各种相应的数据标准与规范以及基于Web的数据管理、共享与服务平台;当然更离不开一支进行数据管理、服务与技术支持的专业队伍,并通过工作绩效评价系统对各个环节进行评价和考核。其中,为数据（集）编写完整、准确的元数据始终是数据管理中最重要的基础工作。     

台湾土石流灾害与防治工法

由于近年来人类的活动空间渐往山区发展,使得原本植生条件良好的山坡地,在不当的开发情形下,变成土石流发生的敏感地区,导致灾害不断的传出。拟就土石流之定义,及导致土石流发生机制的各项因子进行探讨,其中包括自然成因：地质、地形和水文等条件,以及人类活动对土石流形成所造成的影响,并依据土石流之各项特性整理,提出有关土石流之防治及预警系统之工法。     

Preliminary Examinations of the Ore-forming Process by Fluid Mixing – a Test of MIX99

Abstract: Possible ore deposition by fluid mixing was preliminarily examined using MIX 99, a FORTRAN program developed for simulating water-rock interactions. We consider mixing of two fluids, the low f_O2 and high temperature source fluid and the high f_O2 and low temperature seawater. Oxygen fugacity of a mixed fluid formed by titration of seawater into the source fluid gradually decreases with decreasing temperature (model A). Sequential precipitation of ore-forming minerals was examined in this model. On the other hand, simultaneous precipitation of the minerals could be followed by simulation of instantaneous overall mixing of the two fluids (model B). Results of simulation of the both models revealed that a temporal sequence of mineralization observed in the Karuizawa mine, NE Japan, can be formed by model A, while model B is suitable for the mineralization of an active chimney found in the Rainbow hydrothermal area of the Mid-Atlantic Ridge.     

大气折射率起伏对雷达波的散射

研究大气折射率起伏对雷达波的散射时,得到的主要結果有以下两点: 1.在适当的大气条件下,折射率起伏构成的后向散射波能够超出一般雷达的灵敏度之上,它的量級正好和雷达观測到的气象“仙波”相同.根据这一結果和其他事实,作者认为起伏的后向散射可能是形成气象“仙波”的重要机制。 2.推导了表示雷达波在折射率有起伏的介貭中传播时,强度随距离变化的方程式,結果发現:一般情况下,散射效应不致引起波的强度的显著变化.但是,当大气折射率起伏的尺度长較小、輻度較大、并且雷达波瓣較窄时,散射效应会引起波瓣的加寬。     

Incorporation of parameter uncertainty into spatial interpolation using Bayesian trans-Gaussian kriging

Quantitative precipitation estimation(QPE) plays an important role in meteorological and hydrological applications.Ground-based telemetered rain gauges are widely used to collect precipitation measurements. Spatial interpolation methods are commonly employed to estimate precipitation fields covering non-observed locations. Kriging is a simple and popular geostatistical interpolation method, but it has two known problems: uncertainty underestimation and violation of assumptions.This paper tackles these problems and seeks an optimal spatial interpolation for QPE in order to enhance spatial interpolation through appropriately assessing prediction uncertainty and fulfilling the required assumptions. To this end, several methods are tested: transformation, detrending, multiple spatial correlation functions, and Bayesian kriging. In particular, we focus on a short-term and time-specific rather than a long-term and event-specific analysis. This paper analyzes a stratiform rain event with an embedded convection linked to the passing monsoon front on the 23 August 2012. Data from a total of 100 automatic weather stations are used, and the rainfall intensities are calculated from the difference of 15 minute accumulated rainfall observed every 1 minute. The one-hour average rainfall intensity is then calculated to minimize the measurement random error. Cross-validation is carried out for evaluating the interpolation methods at regional and local levels. As a result,transformation is found to play an important role in improving spatial interpolation and uncertainty assessment, and Bayesian methods generally outperform traditional ones in terms of the criteria.     

多变量时间序列滑动窗口异常点的检测

针对多变量时间序列(MTS)的异常点的探测问题,提出了采用由粗到细的二次探测方案.基于滑动窗口数据的置信区间,构造了变化趋势值特征和相对变化趋势值特征分别用于二次探测,同时研究了特征的快速提取算法.通过对OPEN3000数据监测系统采集的事故发生前后某市城南变电站各设备表的数据集进行异常点探测,结果表明提出的算法能够快速准确地探测出异常点的位置.