依托第三产业将银川市建设成独具特色的区域性中心城市

分析了第三产业对将银川市建设成独具特色的区域性中心城市的作用，并提出依托第三产业，将银川市建设成西北独具特色的区域性中心城市的设想．     

一类带位移边值问题的逆问题

给出了Hasemann问题的逆问题的数学提法，利用Hasemann问题的解法，分别讨论了其逆问题在正则与非正则情况下的解法，并得到了其封闭解。     

25%阿米西达SC对苹果树安全性及防治苹果白粉病的药效试验

本试验在田间条件下,研究了25%阿米西达SC对不同苹果树品种的安全性及其防治苹果白粉病的药效和使用浓度.结果表明25%阿米西达SC对澳州青苹、北斗、黄元帅、新红星、红富士、秦冠6个苹果品种安全性较好,无任何不良影响,但对嘎啦品种的苹果树有严重的药害产生,导致果锈和叶片焦枯脱落.25%阿米西达SC对苹果白粉病有较显著的防效,防效可达85%～90%,使用浓度为0.125g/L～0.083g/L,间隔期7d喷1次,连喷3次.     

远程SAN存储网络的设计与实现

描述了覆盖天津港务局全港的远程光纤存储网络的结构,对其可扩展性以及数据传输协议进行了分析,对10Gbit速率下长距离光纤扩展时的链路功率预算值进行了计算.结果表明,在设计和实现远程光纤存储网时选择iSCSI和FC SAN融合的技术路线有利于在保证性能的同时降低成本.该系统已经成功实施,并运转正常.     

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.     

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.