口译听辨和记忆问题诊断研究及教学策略

论文从分析目前口译学习形式以及学习形式对口译教学所产生的要求入手，以口译研究的主导思想及运用于指导口译教学的范式研究为理论依据．就口译学习中的听辨问题和记忆问题进行诊断，并根据诊断提出针对性教学策略以解决学习问题。     

Nonparametric Methods in Continuous Time Model Specification

Some popular parametric diffusion processes have been assumed as such underlying diffusion processes. This paper considers an important case where both the drift and volatility functions of the underlying diffusion process are unknown functions of the underlying process, and then proposes using two novel testing procedures for the parametric specification of both the drift and diffusion functions. The finite-sample properties of the proposed tests are assessed through using data generated from four popular parametric models. In our implementation, we suggest using a simulated critical value for each case in addition to the use of an asymptotic critical value. Our detailed studies show that there is little size distortion when using a simulated critical value while the proposed tests have some size distortions when using an asymptotic critical value in each case.     

Comorbid Substance Abuse and Mental Illness

Abstract

Literature concerning assessment and treatment of comorbid substance abuse and mental illness is reviewed. Currently, comorbidity is under-diagnosed and dually diagnosed clients are under-served. Those clients, who are so diagnosed, are most often offered dichotomous parallel or serial interventions. However, research suggests that an integrated approach is preferable. Enhanced training of mental health and substance abuse professionals is urgently needed as is further research concerning the efficacy of various treatment modalities. Improved identification and treatment of comorbidity may reduce the revolving door effect among these individuals and thereby lower health care costs.     

基于小波神经网络的油泵故障诊断

依据小波神经网络技术的各种优点，提出采用三层BP小波神经网络构造故障诊断模型，对油泵进行故障监测和诊断。该故障诊断方法对神经网络训练、故障特征参数提取和对应神经网络状态输出等均实现了数据库管理，对油泵多种常见故障取得了满意的诊断效果，不仅具有特征自动提取以及较强的自学习和自适应功能，而且操作维护简便。研究结果表明：信号的小波分析和神经网络识别的融合将为油泵状态监测与故障诊断系统的建立提供新的方法和更简便的途径；对油库安全维护与故障诊断具有重要意义。     

神经网络的滚动轴承故障诊断

文章通过旋转机械故障实验平台,采集旋转机械故障实验台轴承的3种工作状态分别是轴承正常、轴承内圈裂缝、轴承外圈裂缝的振动加速度信号.对信号进行零均值化处理后,选择频率成分幅值较大的频率进行信号重组,提取其时域量纲特征值,利用神经网络进行故障类型的识别；通过实验,取得了很好的诊断结果.     

国企改革实现三年走出困境的思考

深化国企改革,三年走出困境既是机遇又是挑战,这需要国家在税收、保险、金融、价格等财经政策方面予以倾斜和配套措施的扶持,而企业自身要以现代企业制度为要求,加强管理,提高自身市场竞争力,需要国家、企业、个人三方面共做出努力,共渡难关,实现三年走出困境。     

Splines for financial volatility

Summary.  We propose a flexible generalized auto-regressive conditional heteroscedasticity type of model for the prediction of volatility in financial time series. The approach relies on the idea of using multivariate B -splines of lagged observations and volatilities. Estimation of such a B -spline basis expansion is constructed within the likelihood framework for non-Gaussian observations. As the dimension of the B -spline basis is large, i.e. many parameters, we use regularized and sparse model fitting with a boosting algorithm. Our method is computationally attractive and feasible for large dimensions. We demonstrate its strong predictive potential for financial volatility on simulated and real data, and also in comparison with other approaches, and we present some supporting asymptotic arguments.     

浅析高校负债办学

负债办学是目前高校实现跨越式发展的必由之路。负债在给高校带来快速发展的同时 ,也给高校带来了财务风险。因此 ,高校负债办学既要根据学校的发展规划和对资金的需求 ,适度负债 ,又要加强负债的管理 ,提高资金使用效益     

Extremes of Markov chains with tail switching potential

Summary.  A recent advance in the utility of extreme value techniques has been the characteri- zation of the extremal behaviour of Markov chains. This has enabled the application of extreme value models to series whose temporal dependence is Markovian, subject to a limitation that prevents switching between extremely high and extremely low levels. For many applications this is sufficient, but for others, most notably in the field of finance, it is common to find series in which successive values switch between high and low levels. We term such series Markov chains with tail switching potential, and the scope of this paper is to generalize the previous theory to enable the characterization of the extremal properties of series displaying this type of behaviour. In addition to theoretical developments, a modelling procedure is proposed. A simulation study is made to assess the utility of the model in inferring the extremal dependence structure of autoregressive conditional heteroscedastic processes, which fall within the tail switching Markov family, and generalized autoregressive conditional heteroscedastic processes which do not, being non-Markov in general. Finally, the procedure is applied to model extremal aspects of a financial index extracted from the New York Stock Exchange compendium.     

中国加入WTO后金融创新问题探讨

中国加入WTO ,将对我国的金融业带来机遇和挑战。国有商业银行不仅在体制上面临着激烈的竞争 ,而且在金融创新上必将受到巨大的冲击 ,因此 ,高度重视国有商业银行推进金融创新问题 ,在新的竞争平台上 ,构建新的运作模式 ,突出自身经营特色 ,开拓出有发展空间 ,尽快提高金融创新的能力 ,应付WTO带来的诸多挑战 ,对中国银行未来的发展举足轻重 ,本文就中国加入WTO后的金融创新面临的挑战 ,目前金融创新存在的问题进行了有益的探讨。提出了应对策略和今后发展的方向