人物介绍

何新凤，女，瑶族，45岁，学士，教授，工程师，广西生态工程职业技术学院学术带头人，双师素质教师。主要研究方向：教学评价和教育信息化。中国物理学会教学委员会职教分委会和中国教育学会物理教学专业委员会职教工委会委员，     

κ玻色子q相干态的反聚束效应

研究了q变形湮没算符高次幂（αq^k,κ≥3)本征态的反聚束效应，并就κ=3的情况用数值计算方法研究了q变形参数对该效应的影响。结果表明，当q变形相干态中谐振子的强度x=|z|^2在某些区间内取值时，αq^k的本征态将呈现反聚束效应，并且这一效应明显地受到q参数的影响。当参数q取定时，随着q变形光场强度的变大，该光场的光子数涨落在经典（或量子）和量子（或经典）特性之间交替地变化。     

Effect of Notoginsenoside-Rg1 on the Expression of Several Proteins in the Striatum of Rat Models with Parkinson＇s Disease

After establishing hemi-Parkinsonian rat models, the relationships between neuron death and the expression of several proteins, such as c-Fos, GFAP, GDNF, NF-κB and some cytokines were determined. Therapeutics experiments with notoginsenoside-Rg1 were carried out. The research results show that the expressions of GFAP, NF-Kκ and c-Fos will obviously increase in the lesion side of the striatum and the expression of GDNF will decrease, which implies that the signal transduction pathway may participate in the apoptosis in neurons. The levels of some cytokines such as TNF-α, IL-1β in the striatum of PD rat models increased compared to those of normal rats. The results of the therapeutics experiments show that notoginsenoside-Rg1 may repress the immune inflammation response and regulate the immune function through the neuro-immune molecular network. Therefore, notoginsenoside-Rg1 can be used as an effective drug for anti-oxidation and anti-inflammation, and can be used in the therapy of Parkinson＇s disease（PD）.     

Performance Analysis for Mobile Ad Hoc Network in Random Graph Models with Spatial Reuse

In this paper,we present a random graph model with spatial reuse for a mobile ad hoc network(MANET) based on the dynamic source routing protocol.Many important performance parameters of theMANET are obtained,such as the average flooding distance (AFD),the probability generating function of theflooding distance,and the probability of a flooding route to be symmetric.Compared with the random graphmodel without spatial reuse,this model is much more effective because it has a smaller value of AFD and alarger probability for finding a symmetric valid route.     

基于Internet/Intranet的大学物理实验系统

利用计算机技术、传感技术和校园网，将现代教育技术引入大学普通物理实验教学中，实现实验数据的自动采集，基于网络的实验预习和实验报告写作、递交、批改及管理等功能．     

一种高精度保界的守恒重映方法

Lagrange方法中，当流场发生大变形时，跟踪流体运动的Lagrange网格发生扭曲，使计算无法进行下去，此时必须重分网格，把网格修复成较好的形状。另外，网格自适应技术中的重构、合并与加密，以及同一问题不同程序相继计算的连接，并行计算中相邻块边界区域的数据传递等，这些情况都需要利用旧网格上的物理量来确定新网格上的物理量，是一个物理量重映过程。质点重映方法是基于物理上守恒规律的一种离散的物理量守恒映射方法，既可实现分片常数分布的一阶精度重映计算，又可实现分片线性分布的二阶精度重映计算。这种方法可严格保证守恒量的守恒性，且可以实现任意多边形网格以及节点上物理量的守恒重映。但是，基于分片线性分布的二阶精度重映方法，如果新网格的守恒量没有进行保界调整，那么相应的强度量有可能在其局部的限制范围之外，破坏了原网格物理量的单调性。因而，对二阶精度的质点重映方法进行了进一步研究。在分片线性分布的基础上，将基于结构网格的保界算法扩展到非结构网格上，给出了二阶保界的质点守恒重映方法。     

Effect of the Initial Mass Function of Primaries on Binary Stellar Populations

Using evolutionary population synthesis technique, we explore the behaviour of the integrated U-B,B-V, V-R and R - I colours, the integrated spectral energy- distributions (ISEDs) and Lick/IDS absorption-line indices of instantaneous burst solar-metallicity binary stellar populations, as a function of the initial mass function (IMF)of primaries. It is found that the variation of the IMF of primaries produces a small effect on the integrated colours and the Lick/IDS indices, while a significant difference in the absolute ISEDs.     

热处理条件对双粉工艺中Bi—2212粉末的相组成影响

实验研究了Bi-2212粉末在空气，8％O2和纯O2种处理的相组成特征，指出通过改变热处理温度和气氛可控制前驱粉中对2223成相影响较大的(Bi，Pb)-2212相，Ca2PbO4相，2201相和14：24AEC等相。     

Quantum Logic Network for Probabilistic Teleportation of Two-Particle State in a General Form

A simplification scheme of probabilistic teleportation of two-particle state in a general form is given.By means of the primitive operations consisting of single-qubit gates,two-qubit controlled-not gates,Von Neumann measure-ment and classically controlled operations,we construct and efficient quantum logical network for implementing the new scheme of probabilistic teleportation of a two-particle state in a general form.     

Bayesian estimation of keyword confidence in Chinese Continuous speech recognition

In a syllable-based speaker-independent Chinese continuous speech recognition system based on classical Hidden Markov Model(HMM),a Bayesian approach of keyword confidence estimation is studied,which utilizes both acoustic layer scores and syllable-based statistical language model(LM) score.The Maximum a posteriori(MAP) confidence measure is proposed,and the forward-backward algorithm calculating the MAP confidence scores is deduced.The performance of the MAP confidence measure is evaluated in keyword spotting application and the experiment results show that the MAP confidence scores provide high discriminability for keyword candidates.Furthermore,the MAP confidence measure can be applied to various speech recognition applications.