中国高等农业院校学报论文即年指标统计分析与比较研究

对中国高等农业院校1996～2000年学报论文的年指标的进行了统计分析,结果表明:中国高等农业院校学报的即年指标虽逐年增长,但差异显著,发展也不平衡;中国高等农业院校学报的即年指标以中南林学院学报和福建林学院学报为最大,分别名列第一和第二;与全国科技期刊的即年指标相比,中国高等农业院校学报还需再上一个台阶.另外,对高等农业院校学报论文即年指标偏低的原因进行了客观分析,还对如何提高即年指标提出了几点建议和措施,可供学报主办单位和广大编辑同仁学习和参考.     

混合料润磨预处理对氧化球团矿质量的影响

研究了润磨预处理对生球强度、生球爆裂温度、预热球强度和成品球质量的影响.研究结果表明:采用润磨工艺减少了膨润土用量,提高了生球强度,但降低了生球爆裂温度;经润磨后所制备的预热球及焙烧球的强度得到了显著增强.研究结果表明:通过润磨的搓揉和挤压作用使粘结剂与矿粒紧密接触,球团内部结构更致密,从而使生球强度增强,爆裂温度降低;润磨产生新表面使矿粒比表面积增大,在预热过程中加快了磁铁矿的氧化,球团矿强度明显增强.     

高压静电场处理油菜种子的品质影响及模型探讨

研究了高压静电场处理种子在大田生长条件下的长期效应 .结果表明 ,较低电压的处理可提高硫甙含量显著降低含油量 ,而较高电压的处理可降低硫甙含量 ,极显著降低芥酸含量 .采用平面类脂双层模型分析外加高压静电场对植物细胞跨膜电位的影响 ,并探讨其微观机理 ,一定程度上可以解释相关的实验结果     

一类螺旋方阵问题的算法分析与实现

对一类典型的螺旋方阵算法进行了分析，提出了解决这类问题的“海龟法”、“分割法”和“递归法”；给出了递归算法的程序实现；讨论了几种算法在时间、空间复杂度以及扩展性方面的问题。     

面向对象的方法在舰炮武器系统建模中的应用

主要分析了面向对象技术的思想和特点以及该技术在舰炮武器系统模型建立过程中的应用，其中包括类的抽象、多重继承等技术．应用面向对象的方法对舰炮武器系统进行建模，从而使建模过程中所要求的技巧性和复杂性大大降低．正是因为面向对象的建模技术能降低建模的复杂性，它将会被越来越多的应用领域所采用。     

一类变系数多时滞差分方程解的振动性

讨论了变系数时滞差分方程x(n 1)-x(n) ∑pi(n)x(n-ki)=0的解的振动性,并运用了一些新的技巧,在一定的条件下得到了其解振动的充分条件,并对现有文献中的某些结果进行了改进和推广.     

利用VB开发计算机一级考试系统

利用Visual Basic开发计算机一级考试系统．解决了考试和计算机评分阅卷中的一些关键技术问题．     

Stratigraphic implications of Sinian-Early Cambrian volcanic ash beds on the Yangtze Platform

Volcanic ash beds from shallow- to deep-water facies strata of the Sinian-Early Cambrian (Meishucunian) on the Yangtze Platform consist of bentonites and tuffites which are readily recognized in the field by their physical features and confirmed by geochemical analyses.Geochemistry suggests that the volcanic ash beds in Meishucunian time are rhyolite and rhyodacite while those in the Qiongzhusian and Sinian are andesite and trachyandesite.The ash beds in the time-equivalent strata, even in different areas display rather similar geochemical features, whereas the ash beds in different strata even in the same areas show large chemical difference.The results suggest that these ash beds can be used for intra- and extra-basinal correlations of the Sinian-Early Cambrian interval on the Yangtze Platform.Additionally, these ash beds suggest high potentials for further U-Pb dating strategies.     

An extended Lagrangian support vector machine for classifications

Lagrangian support vector machine (LSVM) cannot solve large problems for nonlinear kernel classifiers. In order to extend the LSVM to solve very large problems, an extended Lagrangian support vector machine (ELSVM) for classifications based on LSVM and SVMlight is presented in this paper. Our idea for the ELSVM is to divide a large quadratic programming problem into a series of subproblems with small size and to solve them via LSVM. Since the LSVM can solve small and medium problems for nonlinear kernel classifiers, the proposed ELSVM can be used to handle large problems very efficiently. Numerical experiments on different types of problems are performed to demonstrate the high efficiency of the ELSVM.     

Analysis of carbon isotopes in airborne carbonate and implications for aeolian sources

Methods were developed to determine the mass ratios of carbon isotopes in trace amounts of aerosol carbonate. A Finnigan MAT 252 mass spectrometer fitted with an on-line Kiel device was to determine the ^13C/^12C ratio in CO2 produced from the carbonate. A study using these methods was conducted to characterize the carbonate carbon isotopes in aerosol samples collected in Xi‘an on dusty and normal days during March and April 2002. Results of the study demonstrate that insights into the origin of the dust can be deduced from its isotopic composition. That is, the δ^13C ofcarbonate for dust storm samples ranged from -1.4‰ to -4.2‰, and this is consistent with sandy materials in dust source regions upwind. In contrast, for non-dusty days δ^13C ranged from -7.5% to -9.3‰, which is more similar to fine particles emitted from local surface soils. Comparisons of dust storm aerosols with surface soils from source regions and with aerosol samples collected downwind indicate that the δ^13C values did not change appreciably during longrange transport. Therefore, carbon isotopes have the potential for distinguishing among source materials, and this approach provides a powerful new tool for identifying dust provenance.