聚对苯乙炔MOPPV/ZnSe量子点复合材料太阳电池性能研究

基于量子点材料的特殊物理性能和量子点聚合物复合材料高的光电转换性能, 本文在MOPPV溶液中制备了粒度可控、 结晶性好、颗粒尺寸约为3.75 nm的ZnSe量子点材料, 最终获得不同质量比的MOPPV/ZnSe复合材料. 分别使用X射线衍射、透射电子显微镜、紫外可见吸收光谱等研究其特性结果表明MOPPV与ZnSe量子点可以有效地复合且发生光诱导电荷转移; 通过对MOPPV、ZnSe和MOPPV/ZnSe复合材料太阳电池性能的研究发现, 与MOPPV和ZnSe单体相比复合材料光伏特性呈现增加的趋势, 并且复合材料光电性能随着ZnSe量子点材料质量浓度的增加呈现先增大后减小的现象, 当MOPPV和ZnSe的质量比为1:1时, 其转换效率最大, 开路电压为0.516 V, 短路电流为2.018 mA, 填充因子为25.53%, 转换效率为0.167%. 关键词： 量子点 复合材料 伏安特性     

S波段相对论速调管放大器锁相特性

对相对论速调管放大器（RKA）锁相特性进行了粒子模拟与实验研究。在2.5维粒子模拟中,研究了电子束电压波形特征对RKA锁相特性的影响,结果表明:电子束电压波形上冲对RKA锁相特性有正面影响,即能够减小相位差达到锁定状态的时间,幅度为20%的上冲导致大约23的相位差变化;波形顶降则对RKA锁相特性有负面影响,可使相位差过早地偏离稳定值,幅度为5%的顶降大约能引起50的相位差偏离;电压波形的上升时间对RKA相位锁定特性也有影响,但规律不明显。在三维粒子模拟和实验中,研究了导引磁场大小对RKA锁相特性的影响,结果表明,在1.6 T以下,RKA输出微波与种子源微波之间的相位差锁定值总体上随导引磁场的增大而减小,在细节上,呈现阶跃形式,即一定范围内导引磁场大小变化不会导致相位差的改变。实验研究表明,在导引磁场范围为0.6~1.2 T时,RKA锁定相位差随导引磁场的增大而减小,阶跃现象不明显。     

基于温升速率的煤自燃倾向性测定方法

为了准确判定煤炭真实条件下自燃倾向性,选取具有代表性的2种褐煤、2种烟煤及2种无烟煤在煤自燃测定装置上展开研究。研究结果表明,褐煤在低温缓慢氧化阶段、高温加速氧化阶段升温速率最快,烟煤次之,无烟煤最慢。利用热分析仪对煤样的着火温度进行了测定,发现褐煤着火温度最低,烟煤次之,无烟煤着火温度最高;综合评判煤自燃倾向性判定指数,I200为强自燃倾向,200≤I≤400为中等自燃倾向,I400为弱自燃倾向。     

Raman Spectroscopy of Biological Tissues

Abstract

This article reviews some of the recent advances in Raman spectroscopy, in areas related to natural tissues and cell biology. It summarizes some of the most widely used peak frequencies and their assignments. The aim of this study is to prepare a database of molecular fingerprints, which will help researchers in defining the chemical structure of the biological tissues introducing most of the important peaks present in the natural tissues. In spite of applying different methods, there seems to be a considerable similarity in defining the peaks of identical areas of the spectra. As a result, it is believed that preparing a unique collection of the frequencies encountered in Raman spectroscopic studies can lead to significant improvements both in the quantity and quality of spectral data and their outcomes. This article is the first review of its kind to provide a precise database on the most important Raman characteristic peak frequencies for researchers aiming to analyze natural tissues by Raman spectroscopy and will especially be of considerable assistance to those who are focusing on the analysis of cancerous tissues by Raman spectroscopy.     

Robin型离散Schwarz波形松弛算法的收敛性分析

Schwarz波形松弛(Schwarz waveform relaxation,SWR)是一种新型区域分解算法,是当今并行计算研究领域的焦点之一,但针对该算法的收敛性分析基本上都停留在时空连续层面.从实际计算角度看,分析离散SWR算法的收敛性更重要.本文考虑SWR研究领域中非常流行的Robin型人工边界条件,分析时空离散参数t和x、模型参数等因素对算法收敛速度的影响.Robin型人工边界条件中含有一个自由参数p,可以用来优化算法的收敛速度,但最优参数的选取却需要求解一个非常复杂的极小-极大问题.本文对该极小-极大问题进行深入分析,给出最优参数的计算方法.本文给出的数值实验结果表明所获最优参数具有以下优点:(1)相比连续情形下所获最优参数,利用离散情形下获得的参数可以进一步提高Robin型SWR算法在实际计算中的收敛速度,当固定t或x而令另一个趋于零时,利用离散情形下所获参数可以使算法的收敛速度具有鲁棒性(即收敛速度不随离散参数的减小而持续变慢).(2)相比连续情形下所获收敛速度估计,离散情形下获得的收敛速度估计可以更加准确地预测算法的实际收敛速度.     

一阶中立型时滞差分方程振动的充分必要条件

研究了一阶常系数中立型时滞差分方程A[x(n)-px(n-τ)]+qx(n-σ)=0的振动性.通过构造若干适当的函数,分别得到了在01两种情况下该方程的一切解振动的充分必要条件.     

石蜈蚣属1新种(石蜈蚣目:石蜈蚣科)记述及分子系统学分析

记述石蜈蚣属Lithobius Leach,1814伊森石蜈蚣亚属Ezembius Chamberlin,1919 (Lithobio-morpha:Lithobiidae)1新种:贺兰石蜈蚣Lithobius (Ezembius) helanensis sp.nov.,标本采自中国宁夏.对新种2个个体的CO Ⅰ基因片...     

Pseudodifferential Operators on Prehomogeneous Vector Spaces

ABSTRACT

Let G be a connected, linear algebraic group defined over ?, acting regularly on a finite dimensional vector space V over ? with ?-structure V _?. Assume that V possesses a Zariski-dense orbit, so that (G, ?, V) becomes a prehomogeneous vector space over ?. We consider the left regular representation π of the group of ?-rational points G _? on the Banach space C₀(V _?) of continuous functions on V _? vanishing at infinity, and study the convolution operators π(f), where f is a rapidly decreasing function on the identity component of G _?. Denote the complement of the dense orbit by S, and put S _? = S ∩ V _?. It turns out that, on V _? ? S _?, π(f) is a smooth operator. If S _? = {0}, the restriction of the Schwartz kernel of π(f) to the diagonal defines a homogeneous distribution on V _? ? {0}. Its nonunique extension to V _? can then be regarded as a trace of π(f). If G is reductive, and S and S _? are irreducible hypersurfaces, π(f) corresponds, on each connected component of V _? ? S _?, to a totally characteristic pseudodifferential operator. In this case, the restriction of the Schwartz kernel of π(f) to the diagonal defines a distribution on V _? ? S _? given by some power |p(m)| ^s of a relative invariant p(m) of (G, ?, V) and, as a consequence of the Fundamental Theorem of Prehomogeneous Vector Spaces, its extension to V _?, and the complex s-plane, satisfies functional equations similar to those for local zeta functions. A trace of π(f) can then be defined by subtracting the singular contributions of the poles of the meromorphic extension.     

On Conditional Independence,Mixing, and Association

Abstract

This is a follow-up to a recent article by Prakasa Rao [15 Prakasa Rao , B.L.S. 2008 . Conditional independence, conditional mixing and association . Annals of the Institute of Statistical Mathematics AISM , doi: 10.1007/S10463-007-0152-2 . [Google Scholar]] on conditional independence, conditional mixing and conditional association. The purpose of this article is to derive rigorously some results following from conditioning. To this end, a brief review is presented of the concepts of conditional independence of events, classes of events, and random variables, followed by a conditional version of a factorization theorem, as well as a first installment of some basic results. Next, the concepts of conditional covariance and variance are introduced, and a second installment of basic results follows. Furthermore, a certain representation of the covariance is established in detail, followed by a conditional version of it, as well as a generalization. The concept of the conditional characteristic function is also recalled, and a certain inequality is established. Finally, the concept of conditional positive (negative) quadrant dependence, as well as that of conditional positive (negative) association are introduced. The article concludes with the derivation of the conditional versions of some known results, regarding positive (negative) association. This is done anticipating that conditional association (and also conditional mixing) will prove to be of significant applicability.