番茄基因的分子标记与遗传作图——文献综述

介绍了番茄分子图，特别是抗病基因标记作图和构建精密遗传图的新进展，同时概述了分子标记及其作图在基因克隆、ＱＴＬ定位、标记辅助选择，以及在细胞杂交、进化关系和良种纯度检测等方面的应用前景。     

关于G-FC空间的最佳容许集值映射的叠合点定理

作者定义一个包舍FC-空间和G-空间为特殊情况的G-FC空间,而且获得了关于G-FC-空间的最佳容许集值映射的叠合点定理.应用这个新结果获得了一个在G-FC-空间中相互等价的KKM型定理和极大极小元定理.     

传递不平衡检测及其在QTL精细定位中的应用

在早期的QTL定位研究中,研究者所关注的主要是QTL检出效率的高低。随着QTL定位研究的不断深入,研究者们发现：即使是在QTL检出效率很高的情况下,其定位的精确性仍然可能很低。就目前的定位精度来看,虽然基本可以满足实施标记辅助选择的要求,但还远远不能满足分子克隆技术所能达到的操作程度。因此有必要寻找新的定位策略以达到QTL精细定位的目的。本文简要综述了QTL精细定位新策略-传递不平衡检测（TDT）的概念及发展、原理与方法及其在QTL精细定位中的应用。     

图书馆与知识管理

知识经济时代,知识管理作为一种新的管理思想和方式,在图书馆实行非常必要。知识管理包括知识的捕获、重组、创新、应用及人力资源管理。     

德摩根拓扑子代数和乘积代数

引进和研究德摩根拓扑子代数和乘积代数，它们分别包括点集拓扑中的子空间和乘积空间，并以其作为特例。     

基于知识共享的虚拟R&D团队治理机制研究

虚拟R&D团队是现代电子信息技术的产物,是未来团队的发展趋势,其有效的治理机制是企业核心竞争力的保障。本文立足于知识共享的角度,对虚拟R&D团队治理中最重要的三个机制——知识管理机制、产权机制和激励机制进行分析,并提出了治理方案。     

利用遥感进行旺苍县立地分类与评价的研究

本文叙述利用多级遥感技术进行森林立地分类与质量评价。首先采用卫星磁带数据进行图象处理,在图象判读的基础上,提供了旺苍县的立地分区。进而利用航空象片进行立地因子的判读,按影响立地的因子划分立地类型和评价立地质量。由于立地研究是以遥感图象为载体,所以在研究中立地分类与立地制图相结合。本文的最后部分还讨论了立地分类与评价在防护林工程中的应用。试验表明,本方法与常规技术相比,不仅具有速度快,效率高和成本低的特点,而且立地信息丰富,便于生产中应用。     

英语习语对阅读理解的影响

阅读教学不只限于语言系统本身,还涉及到与阅读材料相关的文化背景知识。在现实教学中,学生往往因为缺乏文化背景知识而造成阅读的困难和理解的失误。针对这种现状,本文旨在探讨文化背景知识尤其是习语知识对阅读理解的影响。     

Inclusion of forest harvest legacies, forest type, and regeneration spatial patterns in updated forest maps: A comparison of mapping results

In Maine and other heavily forested states, existing land cover maps quickly become dated due to forest harvesting and land use conversion; therefore, these maps may not adequately reflect landscape properties and patterns relevant to current resource management and ecosystem studies. By updating an older land cover product (the 1993 Maine GAP map) using Landsat imagery and established forest change detection techniques, we demonstrate a practical and accurate means of providing contemporary, spatially explicit forest cover data needed to quantify landscape change. For a 1.8 million hectares study area in northern Maine, we quantify the accuracy of forest harvest classes and compare mapped harvest and regeneration area between the 2004 GAP update product and the 2004 Maine Landcover Dataset (MeLCD), a map recently developed in coordination with the 2001 National Land-Cover Database (NLCD). For the period 1995–2004, the overall harvest/non-harvest accuracy of the GAP update map is 87.5%, compared to 62.1% for the MeLCD. Producer and user accuracy for harvest detection is 92.4% and 89.7%, respectively for the GAP update, and 48.8% and 92.5% for the MeLCD. Mapped harvest area differs considerably, reflecting a systematic under-representation of recent harvest activity on the part of the MeLCD. By integrating older land cover data, the GAP update retains the forest disturbance legacies of the late 1970s through the early 1990s while simultaneously depicting 2004 forest composition for harvested and regenerating stands. In contrast, the MeLCD (and 2001 NLCD) over-represents the area and connectivity of older forest (undisturbed since the late 1970s), and provides no forest composition information for mapped forest regeneration. Systematic misclassification of forest age classes and harvest history has serious implications for studies focused on wildlife habitat modeling, forest inventory, and biomass or carbon stock estimation. We recommend the integration of older land cover data and time-series forest change detection for retention of harvest or disturbance classes when creating new forest and land cover maps.