内蒙古岱海9种鲤科鱼LDH同工酶谱的比较研究

用垂直板聚丙烯酰胺凝胶电泳技术，对岱海水体中９种鲤科鱼类进行了ＬＤＨ同工酶谱比较研究．结果表明，种间谱型有明显差异．同工酶谱经主成分分析（ＰＣＡ）表明，草鱼和瓦氏雅罗鱼被划为一类群，在分类学上它们属雅罗鱼亚科，红鲤和普鲫被划为一个类群，它们属于鲤亚科，而红锗、团头鲂和Ｈ．ｌｅｕｃｉｓｃｕｌｕｓ被划为另一类群，它们均属亚科；鳙和白链在分类学上属鲢亚科，同工酶分析表明：鳙接近鲤亚科，而白鲢更接近于亚科．可见，这些类群的划分与经典系统分类基本上一致，表明ＬＤＨ同工酶谱的主成分分析在鱼类分类和演化研究中是一可取的研究方法．     

Application of artificial neural networks in global climate change and ecological research: An overview

Fields that employ artificial neural networks (ANNs) have developed and expanded continuously in recent years with the ongoing development of computer technology and artificial intelligence. ANN has been adopted widely and put into practice by researchers in light of increasing concerns over ecological issues such as global warming, frequent El Niño-Southern Oscillation (ENSO) events, and atmospheric circulation anomalies. Limitations exist and there is a potential risk for misuse in that ANN model parameters require typically higher overall sensitivity, and the chosen network structure is generally more dependent upon individual experience. ANNs, however, are relatively accurate when used for short-term predictions; despite global climate change research favoring the effects of interactions as the basis of study and the preference for long-term experimental research. ANNs remain a better choice than many traditional methods when dealing with nonlinear problems, and possesses great potential for the study of global climate change and ecological issues. ANNs can resolve problems that other methods cannot. This is especially true for situations in which measurements are difficult to conduct or when only incomplete data are available. It is anticipated that ANNs will be widely adopted and then further developed for global climate change and ecological research.     

FeO和Al2O3质量分数对高炉初渣粘度的影响

以高铝烧结矿在高炉软熔滴落过程中形成的高炉初渣为主要研究对象,在实验室条件下采用分析纯试剂进行初渣的制备,分别探讨了CaO-SiO_2-MgO-Al_2O_3-FeO五元渣系中,FeO(5%~15%)及Al_2O_3(6%~15%)质量分数对初渣粘度和熔化性温度的影响规律。实验结果表明:在碱度(CaO/SiO_2)为2.0时,炉渣粘度随FeO质量分数的增加而减小,且FeO质量分数越多,炉渣的熔化性温度越低;当FeO质量分数为5%时,随着Al_2O_3质量分数的增大,炉渣粘度和熔化性温度都呈降低的趋势。     

非晶硅太阳电池背接触界面和n型层参数敏感性研究

在参照国内外大量实验测量数据的基础上,建立了pin结构非晶硅太阳电池的计算模型．通过一系列模拟计算和分析,研究了电池3个外部特性和能量转换效率对背接触界面和n型层参数的敏感性．结果表明,背接触势垒高度和n型层掺杂浓度是对电池外部特性参数有显著影响的敏感参教;背面反射率只对短路电流和转换效率的改善有贡献且最大增幅均小于10％;背接触界面载流子表面复合速率和n型层的厚度、迁移率隙、载流子迁移率等参数对电池各外部特性的影响均很小．根据对计算结果的分析,提出了背接触界面和n型层参数的一组优化值,并指出背接触势垒高度和n型层掺杂浓度应作为理论和工艺研究重点．     

一种研究管道对电液伺服系统动态性能影响的综合分析法

以分布参数法研究管道动态特性对液压控制系统性能的影响,将连接管道对系统的影响归入伺服阀线性化流量方程中,提出了处理电液控制系统中连接管道的一和中综合分析法,大大简化了控制系统的动态数学模型,为进一步分析含有连接管道的液压控制系统提供了更为科学的理论基础。     

青龙本地山羊随机扩增多态DNA与体重体尺相关性研究

利用９ 种随机引物研究了青龙本地山羊的随机扩增多态ＤＮＡ,并利用ＳＰＳＳ程序对多态标记进行了方差分析。结果表明,青龙本地山羊基因组ＤＮＡ 多态频率为４８．６５％ 。多态标记Ｋ０９Ｂ、Ｐ１４Ｄ和Ｑ１４Ｄ及其互作效应与体重和体尺有显著相关     

河南野生早春开花木本植物资源调查分析

在查阅相关资料的基础上,对河南范围内栽培早春开花木本观赏植物的种类和园林应用现状进行了分析,调查、采集,并记录野生早春开花木本植物资源的分布、花期、花色等．结果表明,河南栽培早春开花木本植物共计有9科、24种;具有较高观赏价值和市场应用前景的野生早春开花木本植物共计18科,41种．最后对野生资源的保护、引种驯化和开发利用提出了建议．     

VaR与CVaR的对比研究及实证分析

对两种风险度量方法——风险价值（VaR）和条件风险价值（CVaR）的性质和最优化算法进行了比较．首先对它们具有的性质如平移不变性等进行了比较,其中CVaR独有的次可加性最能显示它相对于VaR的优越性．然后,通过引入顺序统计量,把现实中基于CVaR的最优组合问题转化成线性规划问题,并说明只有当收益服从高斯分布时,基于VaR和CVaR的两种最优组合问题的解才是一致的,基于VaR的最优问题才有意义．最后对深市股票进行了实证分析,验证了上述结论,并分析了可能存在的影响结果的因素．     

Observation of internal tides and near-inertial motions in the upper 450 m layer of the northern South China Sea

Mooring ADCP current observations from August to November are used to study the barotropic tides, baroclinic tides and near-inertial motions in the upper 450 m layer of the northern South China Sea. The barotropic and baroclinic tides at the mooring station are all dominated by M2, K1, O1, P1, with the barotropic amplitudes being 7.8 cm·s^-1, 7.0 cm·s^-1, 5.4 cm·s^-1 and 3.5 cm·s^-1 respectively. The amplitudes of M2, K1, O1, P1 internal tides vary greatly, which are 12--15 cm·s^-1 in the thermocline, and then decrease with increasing depth. The amplitude of the barootropic near-inertial motions is less than 1 cm·s^-1, contributing little to the barotropic currents. However, that of the baroclinic nearinertial motions can be as large as 5 cm·s^-1. The inclination of tidal ellipse tends to increase with increasing depth, implying upward propagation of energy, while that of the near-inertial ellipse tends to decrease with increasing depth, implying downward propagation of energy.     

小波包分解结合异常值检测自动去除眼电中眨眼干扰的方法

为减少有用眼电信号的损失,提出一种小波包分解和异常值检测(WPT-OD)去除眨眼信号的新方法. 该算法首先利用小波包方法将原始信号进行分解,得到低频分量进行重构;然后应用异常值检测中三种常用的准则,即肖维勒准则、 皮尔斯准则和修正箱线图法确定眨眼信号的区域,并将该区域置零. 实验发现,WPT-OD的平均正确率达到98.9％,其中修正箱线图法效果最好,其去眨眼信号与原始信号相关性高达95.33%,损失率仅为4.17%. 实验表明：WPT-OD算法能够准确地确定无意识眨眼的起点和终点,可保留更多的有用信号且与原始信号的相关性强.