电致发光显示器的国内外发展现状和研究动向

这篇调研报告是为我所应四机部显示会议的邀请在会上作关于电致发光器件(不包括发光二极管)国内外水平的综述报告提供的参考资料.本文的依据是截至1981年5月我室收集到的各种公开发表的文献和消息报导.反映的基本上是1980年达到的水平.     

π-烯丙基稀土配合物的合成、结构及其催化烯烃聚合反应机理的研究 Ⅰ.LiLn(π-C_3H_5)·nD的合成和结构表征

1970年Coutts成功地合成了第一个π-烯丙基稀土配合物(C_5H_5)_2ScC_3H_5。但由于其稳定性差仅有几篇报道。1987年黄祖恩等报道了Li_2Ce(C_3H_5)_5·3D(D为二氧六环)的晶体结构。1991年吴文玲等报道了第二个π-烯丙基稀土配合物(C_3H_5)_2CeCl_5Mg~2(tmed)_2的晶体结构。     

二（2,4,4—三甲基戊基）膦酸稀土配合物的振动光谱

测定了二（２，４，４－三甲基戊基）膦酸（ＢＴＭＰＰＡ）及其稀土配合物Ｌｎ（ＢＴＭＰＰ）３在４０００～５０ｃｍ＾－１光谱区内的ＦＴ－ＩＲ光谱和部分配合物的激光拉曼光谱，对其谱带进行了经验归属。发现稀土氧键具有较高的离子键特性。由Ｌｎ－Ｏ伸缩振动频率值算出其近似力常数约８ｍ ｄｙｎ／ｎｍ。     

差分激光热透镜光度法测定钴

本文利用激光透镜效应在激光束腰前后的反对称效应,以双样品池差分法对Co进行定量测定。单样品池和双样品池的最低可测浓度分别为5ng/ml和2ng/ml。分析灵敏度高于常规的分光光度计法10倍。He-Ne激光束功率为2mw。     

稀土元素的X射线荧光光谱分析

近十年来,国内外的稀土元素X射线荧光光谱分析工作有了很大进展。随着稀土应用的日益广泛,XRF不仅是常量稀土分析手段,也已用于微量和痕量稀土分析。本文着重在样品的预富集,制样技术,仪器条件,校正谱线干扰以及消除基体效应的数学校正法等方面做了阐述。     

在LPE生长中降温和恒温对InAsPSb外延层组分分布的影响

采用LPE技术,生长出InAsPSb外延层,研究了降温、恒温两种方法对外延层组分分布的影响。结果表明,用恒温方法生长时,外延层中P、Sb组分分布较为均匀,在脉冲电流激发下,得到了3.09μm激光输出。     

用于北京谱仪Ⅱ主漂移室径迹重建的一种新方法

介绍了一种新的主漂移室径迹重建软件DCJULIE,阐述了在径迹重建中模式识别方法的原理和技巧. 经过蒙特卡罗和真实数据的运行和检查,证明了软件的可靠性.     

类硼离子N^2＋的电子碰撞电离—单通道截面的共振增加

使用Ｒ－矩阵方法，在库仑－玻恩非交换近似下（ＤＣＢＮＸ）采用三态密耦图象，计算了类硼离子Ｎ２＋的电子碰撞电离截面，并给出了总的能量微分截面及分波能量微分截面。计算结果揭示了明显的Ｒｙｄｂｅｒｇ系列共振，并指出共振对截面的贡献大于直接电离过程对截面的贡献，这与Ｃｈｉｄｉｃｈｉｍｏ的结论一致。     

The position independence of heterostructure coupled waveguides in photonic-crystal switch

Based on studying the propagation states of electromagnetic waves in heterostructure coupled waveguides produced by appropriately modulating the refractive index of rods, the realization of photonic-crystal switch is analyzed and the position effect of the heterostructure coupled waveguides on the switch function is investigated. The simulation results show that the output state is the result of the integral effect of different coupling regions; therefore, the switch function is independent on the distribution of heterostructure coupled waveguides. This property will bring great flexibility to fabricate photonic-crystal switch in practice.     

Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy

Coronary heart disease (CHD) is the leading cause of cardiovascular death. This study aimed to propose an effective method for mining cardiac mechano-electric coupling information and to evaluate its ability to distinguish patients with varying degrees of coronary artery stenosis (VDCAS). Five minutes of electrocardiogram and phonocardiogram signals was collected synchronously from 191 VDCAS patients to construct heartbeat interval (RRI)–systolic time interval (STI), RRI–diastolic time interval (DTI), HR-corrected QT interval (QTcI)–STI, QTcI–DTI, Tpeak–Tend interval (TpeI)–STI, TpeI–DTI, Tpe/QT interval (Tpe/QTI)–STI, and Tpe/QTI–DTI series. Then, the cross sample entropy (XSampEn), cross fuzzy entropy (XFuzzyEn), joint distribution entropy (JDistEn), magnitude-squared coherence function, cross power spectral density, and mutual information were applied to evaluate the coupling of the series. Subsequently, support vector machine recursive feature elimination and XGBoost were utilized for feature selection and classification, respectively. Results showed that the joint analysis of XSampEn, XFuzzyEn, and JDistEn had the best ability to distinguish patients with VDCAS. The classification accuracy of severe CHD—mild-to-moderate CHD group, severe CHD—chest pain and normal coronary angiography (CPNCA) group, and mild-to-moderate CHD—CPNCA group were 0.8043, 0.7659, and 0.7500, respectively. The study indicates that the joint analysis of XSampEn, XFuzzyEn, and JDistEn can effectively capture the cardiac mechano-electric coupling information of patients with VDCAS, which can provide valuable information for clinicians to diagnose CHD.