By means of the energy level formula E(p)=α+2βcos(pπ/(n+t+1)). the pseudo π ionization potentials of H-(CH_2)_n-X (X=H, F, Cl, Br, I, OH, and SH) are identified by optimizing linear regression analysis, from which...By means of the energy level formula E(p)=α+2βcos(pπ/(n+t+1)). the pseudo π ionization potentials of H-(CH_2)_n-X (X=H, F, Cl, Br, I, OH, and SH) are identified by optimizing linear regression analysis, from which α=13.54±0.50eV and β=1.75±0.13eV are obtained.展开更多
为提升同步数字体系(synchronous digital hierarchy,SDH)设备的运行管理水平和运行安全稳定性,对SDH设备资源故障分析方法进行研究,提出SDH设备资源N-1和N-X故障分析方法,实现对设备运维和网络优化工作的事前预测分析,为SDH设备运维和...为提升同步数字体系(synchronous digital hierarchy,SDH)设备的运行管理水平和运行安全稳定性,对SDH设备资源故障分析方法进行研究,提出SDH设备资源N-1和N-X故障分析方法,实现对设备运维和网络优化工作的事前预测分析,为SDH设备运维和改造方案、网络优化方案编制提供有效思路,提高方案的合理性。展开更多
文摘By means of the energy level formula E(p)=α+2βcos(pπ/(n+t+1)). the pseudo π ionization potentials of H-(CH_2)_n-X (X=H, F, Cl, Br, I, OH, and SH) are identified by optimizing linear regression analysis, from which α=13.54±0.50eV and β=1.75±0.13eV are obtained.
文摘为提升同步数字体系(synchronous digital hierarchy,SDH)设备的运行管理水平和运行安全稳定性,对SDH设备资源故障分析方法进行研究,提出SDH设备资源N-1和N-X故障分析方法,实现对设备运维和网络优化工作的事前预测分析,为SDH设备运维和改造方案、网络优化方案编制提供有效思路,提高方案的合理性。