大型企业安全现状评估探讨

介绍了大型企业安全现状评估工作程序和制定安全对策措施的原则,对安全生产工作分类监管和安全管理档案提出了建议。     

面向对象的河口滩涂冲淤变化遥感分析

河口滩涂位于江河入海口前沿,其岸线受江河上游来水来沙、海水潮汐动力和人为因素影响处于不断变化中。针对遥感人工目视解译判读出岸线进行冲淤变化分析方法的不足,提出了面向对象的岸线遥感识别提取方法,阐述了整个遥感迭代识别提取过程。以长江河口崇明东滩为实验区,选取长江口1990年12月4日、1995年4月6日、2000年6月14日和2005年11月27日4个时相的陆地卫星TM/ETM+遥感影像,对其进行基于面向对象的识别处理,直接提取相应年份的岸线和滩涂陆域多边形,对4个年份的陆域多边形进行空间叠加分析,得到了崇明东滩自1990年以来15年间的冲淤空间变化。应用表明面向对象的遥感分析识别技术在河口滩涂冲淤变化分析中具有准确、快速、简便的特点。     

基于IUCN保护区分类系统的中国自然保护区分类标准研究

在总结实施我国自然保护区分类标准的经验和问题的基础上,依据中国自然保护区建设的现状和特点,借鉴IUCN保护区分类系统,提出了中国新的自然保护区分类标准,并据此对已建自然保护区进行了重新分类,以期促进我国自然保护区建设管理工作以及国内外的信息交流。     

甲型流感病毒H5N1的siRNA设计

选用了甲型流感病毒10个毒株(全序列)和一个2004年越南毒株(部分序列)，采用自己编写的计算机程序sRNAFinder，对每个毒株的6个RNA片段的6个编码序列进行了siRNA设计．结合系统发育重建方法，利用sR-NAFinder的共有序列分析功能，对得到的6101个siRNA分子进行了计算机筛选．结果表明，设计的siRNA的分子，针对np和pb1应该是最有效的，而针对ha和na的siRNA分子设计，需要疾病流行期毒株的最新测序数据；从ns1的数据不能获得很保守的、可作为预防治疗药物的siRNA分子．图1表4参16     

The Consistency of Extinction Risk Classification Protocols

Abstract:  Systematic protocols that use decision rules or scores are seen to improve consistency and transparency in classifying the conservation status of species. When applying these protocols, assessors are typically required to decide on estimates for attributes that are inherently uncertain. Input data and resulting classifications are usually treated as though they are exact and hence without operator error. We investigated the impact of data interpretation on the consistency of protocols of extinction risk classifications and diagnosed causes of discrepancies when they occurred. We tested three widely used systematic classification protocols employed by the World Conservation Union, NatureServe, and the Florida Fish and Wildlife Conservation Commission. We provided 18 assessors with identical information for 13 different species to infer estimates for each of the required parameters for the three protocols. The threat classification of several of the species varied from low risk to high risk, depending on who did the assessment. This occurred across the three protocols investigated. Assessors tended to agree on their placement of species in the highest (50–70%) and lowest risk categories (20–40%), but there was poor agreement on which species should be placed in the intermediate categories. Furthermore, the correspondence between the three classification methods was unpredictable, with large variation among assessors. These results highlight the importance of peer review and consensus among multiple assessors in species classifications and the need to be cautious with assessments carried out by a single assessor. Greater consistency among assessors requires wide use of training manuals and formal methods for estimating parameters that allow uncertainties to be represented, carried through chains of calculations, and reported transparently.     

Interpretation and Discrimination of Marshy Wetlands by Soil Factors in the Kuan-Tu Natural Park, Taiwan

This work investigated soil samples collected from Kuan–Tu wetlands, Taiwan. Factor analysis was performed to explain the impact of various soil factors on this marshy wetlands located in suburban Taipei. The results indicated that the latent factors were heavy metals, salinity, and soil organic matter. Canonical discriminant analysis was used to improve an existing vegetation classi–fication scheme by identifying the physical-chemical properties of sediment in Kaun–Tu wetlands, Taiwan. Predictive discriminant analysis was used to examine the ability of the models to predict class membership for unknown soil sample. Multivariate analysis of the spatial patterns of soil quality and vegetation types showed that different properties of soil grew different types of vegetation and absorbed contaminants differently. We can feasibly conserve a suitable habitat for wetland biology by processing these unstable predictor variables. The methodology and results provide useful information concerning the Kuan–Tu wetlands and may be applicable to other wetlands with similar properties that are experiencing similar environmental issues.     

Structural perturbations of models used in mathematical biology

The paper discusses the importance of understanding structural perturbations of models used in mathematical biology, where we mainly focus on ecology and dynamical systems. We describe first briefly the classical modeling strategy and the derivation of model structures. Structural perturbations are then discussed, mainly in the framework of ODEs. We give some examples how insights obtained from this type of model could be transfered to other kinds of models. Finally we propose an alternative modeling strategy characterized by a systematic investigation of a models neighbourhood in an appropriately chosen model class.     

环境会计在环保项目财务分析中的应用

环境会计是研究经济发展与环境资源之间的关系,计量、记录环境污染、环境防治、开发、利用的成本费用,并对企业经营过程中对社会环境的维护和开发形成的效益进行合理计量与报告,综合评估环境绩效及环境活动对企业财务成果影响的一门新兴会计学科,它是进行环境保护经济评估的理论基础.以一钢铁公司的污水处理项目为实例,介绍了环境会计在环保项目财务分析中应用的基本方法,尤其是包括常规成本、负债性成本和环境成本在内的生命周期成本的计算方法,可确定环保项目的成本与收益,为同类型项目的财务评价提供参考.运用环境会计的理论和实践,进行环保项目财务分析,目的明确,方法简便可行,操作性强,对于环保项目财务评价及投资决策,具有较高的实用价值.     

CART-分类与回归树方法介绍

分类与回归树（CART－ClassificationandRegressionTrees）是一种非常有趣并且十分有效的非参数分类和回归方法．它通过构建二叉树达到预测目的。该方法是四位美国统计学家耗时十多年辛勤劳动的成果。在他们所著的“ClassificationandRegressionTrees（1984）”一书中有该方法的详细说明。笔者认为该方法在古生物化石分类和鉴定以及矿产资源预测等方面颇有用武之地。本文只对该方法作简单介绍,希望能对从事预测工作的读者有所启发。美国加利福尼亚统计软件公司已歼发了CART方法软件。