日语时体的意义和时间流向——影视剧情简介文的规则

文章结合日语时体研究的最新成果,观察日语时体及其在具体文体中的表现并据此阐明日语时体的一般规则。日语文本的时体交替受制于文本的时间流向及时间基点的设置,时间流向(タクシス)在解读文本时体过程中具有决定意义。日语剧情简介文本一般以"る"来表示其情节的进展,"た"提示前一情景的结果或对其进行点评、说明。因此,"る"具有使事件向前发展的功能,而"た"则具有表示同时的事件的作用。"る"表示将来,会给听者一种悬念感;而"た"则返回并停顿在前一个事件,具有与主时间链相区别的语用功能。

非对称性与热力学第二定律

热力学第二定律揭示了自然界中存在着非对称性 。

Numerical simulation of(T_2,T_1) 2D NMR and fluid responses

One-dimensional nuclear magnetic resonance （1D NMR） logging technology is limited for fluid typing, while two-dimensional nuclear magnetic resonance （2D NMR） logging can provide more parameters including longitudinal relaxation time （71） and transverse relaxation time （T2） relative to fluid types in porous media. Based on the 2D NMR relaxation mechanism in a gradient magnetic field, echo train simulation and 2D NMR inversion are discussed in detail. For 2D NMR inversion, a hybrid inversion method is proposed based on the damping least squares method （LSQR） and an improved truncated singular value decomposition （TSVD） algorithm. A series of spin echoes are first simulated with multiple waiting times （Tws） in a gradient magnetic field for given fluid models and these synthesized echo trains are inverted by the hybrid method. The inversion results are consistent with given models. Moreover, the numerical simulation of various fluid models such as the gas-water, light oil-water, and vicious oil-water models were carried out with different echo spacings （TEs） and Tws by this hybrid method. Finally, the influences of different signal-to-noise ratios （SNRs） on inversion results in various fluid models are studied. The numerical simulations show that the hybrid method and optimized observation parameters are applicable to fluid typing of gas-water and oil-water models.

Inventory control model based on external and interior reverse logistics

To improve the inventory control strategy for enterprise and optimize inventory control parameters of existing external and interior reverse logistics, a multi-resource inventory control model is proposed to better simulate the logistics fact, which is aimed at periodic inventory checking and pull mode of inventory control strategy, based on the return product arrival time obeying Poisson distribution, the return product employing lotsize process and the nonzero lead time of manufaeturinge/remanufacturing. The rational cost function with multiple constraints is employed to describe the inventory model. The genetic algorithm is employed to solve the inventory cost function to obtain the optimal solution of inventory checking periods, safe inventory point, product lot-sizes and process lot-sizes of return product. An example is presented to prove the feasibility and validity of the proposed method. Moreover, the influence of manufacturing/remanufacturing lead time and reuse rate of return production on the inventory control strategy of enterprise is analyzed.

Performance and Effectiveness of UniFET^TM II MOSFET in HID Lamp Ballast

An advanced cell structure and lifetime control technology has enhanced on-resistance and reverse recovery performance of power MOSFET （metal oxide semiconductor field-effect transistor） simultaneously. This paper introduces a newly developed planar MOSFET--UniFETTM Ⅱ MOSFET--with highly improved body diode characteristics, and presents its performance and effectiveness. UniFET II MOSFET is divided into normal FET（field effect transistor）, FRFET （fast recovery field effect transistor）, and Ultra FRFET MOSFETs according to the concentration of lifetime control, and their reverse recovery times are about 70%, 25%, and 15% of that of a conventional MOSFET, respectively. To verify the performance and effectiveness of the new MOSFET, an experiment using a 150 W HID （high intensity discharge） lamp ballast that includes a mixed frequency inverter was implemented. As a result, it was verified that two UniFET Ⅱ MOSFETs can replace two conventional MOSFEs and four additional FRDs （fast recovery diodes） without MOSFET failure.

A new cellular automaton model for traffic flow considering realistic turn signal effect

In real traffic,any vehicle must give lane-changing signal(i.e.the turn signal) before changing lanes;at this time,the vehicles behind the lane-changing vehicle will be hindered and may form "plugs" due to the turn signal effect.However,few studies focus on exploring the effect.In this paper,the turn signal effect was taken into account by proposing a new symmetric two-lane cellular automaton(T-STCA) model,and the new model was set to compare with the STCA,H-STCA and A-STCA models.Numerical results show that using the T-STCA model to describe lane-changing or overtaking,the process appeared in several consecutive time steps;while using the other three models,the process appeared only in one time step.In addition,the T-STCA model could describe the mixed traffic flow more realistically and the turn signal effect could help the plugs to dissolve more quickly.

Forecasting of Stock Returns by Using Manifold Wavelet Support Vector Machine

An admissible manifold wavelet kernel is proposed to construct manifold wavelet support vector machine(MWSVM) for stock returns forecasting.The manifold wavelet kernel is obtained by incorporating manifold theory into wavelet technique in support vector machine(SVM).Since manifold wavelet function can yield features that describe of the stock time series both at various locations and at varying time granularities,the MWSVM can approximate arbitrary nonlinear functions and forecast stock returns accurately.The applicability and validity of MWSVM for stock returns forecasting is confirmed through experiments on real-world stock data.