李斯特《侏儒轮舞》简析

浪漫主义时期音乐有着独特的音乐风格,其特点反映了浪漫主义时期艺术家们的创造性,例如“标题性”音乐的特点、创造出大量新型乐曲形式等。李斯特所作的《侏儒轮舞》则是一曲“标题性”乐曲,本文将从曲式分析和演奏技巧两方面分析此曲。

脆皮炸与脆浆炸

脆皮炸与脆浆炸,有的事厨者将其混为一谈,因而做不出合格的菜品。这里笔者根据自身的实践经验,谈谈这两种炸菜的方法及操作要领,供读者参考。 先说脆皮炸 脆皮炸,是将经过白卤水浸熟的原料挂上一层脆皮糖浆,晾干后,纳入合适湿度的热油中再炸制成菜的烹饪方法。

Elastoplastic model for discontinuous shear deformation of deep rock mass

Deep rock mass possesses some unusual properties due to high earth stress,which further result in new problems that have not been well understood and explained up to date.In order to investigate the deformation mechanism,the complete deformation process of deep rock mass,with a great emphasis on local shear deformation stage,was analyzed in detail.The quasi continuous shear deformation of the deep rock mass is described by a combination of smooth functions:the averaged distribution of the original deformation field,and the local discontinuities along the slip lines.Hence,an elasto-plastic model is established for the shear deformation process,in which the rotational displacement is taken into account as well as the translational component.Numerical analysis method was developed for case study.Deformation process of a tunnel under high earth stress was investigated for verification.

A CODEBOOK COMPENSATIVE VOICE MORPHING ALGORITHM BASED ON MAXIMUM LIKELIHOOD ESTIMATION

This paper presents an improved voice morphing algorithm based on Gaussian Mixture Model(GMM) which overcomes the traditional one in the terms of overly smoothed problems of the converted spectral and discontinuities between frames.Firstly, a maximum likelihood estimation for the model is introduced for the alleviation of the inversion of high dimension matrixes caused by traditional conversion function.Then, in order to resolve the two problems associated with the baseline, a codebook compensation technique and a time domain medial filter are applied.The results of listening evaluations show that the quality of the speech converted by the proposed method is significantly better than that by the traditional GMM method, and the Mean Opinion Score(MOS) of the converted speech is improved from 2.5 to 3.1 and ABX score from 38% to 75%.

Minimally invasive local therapies for liver cancer

Primary and metastatic liver tumors are an increasing global health problem,with hepatocellular carcinoma(HCC)now being the third leading cause of cancer-related mortality worldwide.Systemic treatment options for HCC remain limited,with Sorafenib as the only prospectively validated agent shown to increase overall survival.Surgical resection and/or transplantation,locally ablative therapies and regional or locoregional therapies have filled the gap in liver tumor treatments,providing improved survival outcomes for both primary and metastatic tumors.Minimally invasive local therapies have an increasing role in the treatment of both primary and metastatic liver tumors.For patients with low volume disease,these therapies have now been established into consensus practice guidelines.This review highlights technical aspects and outcomes of commonly utilized,minimally invasive local therapies including laparoscopic liver resection(LLR),radiofrequency ablation(RFA),microwave ablation(MWA),high-intensity focused ultrasound(HIFU),irreversible electroporation(IRE),and stereotactic body radiation therapy(SBRT).In addition,the role of combination treatment strategies utilizing these minimally invasive techniques is reviewed.

An Advanced Spectrum Allocation Algorithm for The Across-Cell D2D Communication in LTE Network with Higher Throughput

In the hybrid LTE cellular network with D2D(Device-to-Device) communication, D2D communication technologies can improve the spectral efficiency significantly. However, the D2D users have to reutilize the spectrum which is allocated to the cellular users. Therefore, the co-channel interference will be more complicated in the case of crosscell D2D communications. In this article, a novel spectrum allocation algorithm for inter-cell D2D communication considering the traffic load is proposed. The traffic load can be balanced by the proposed algorithm. Meanwhile D2D users can multiplex the spectrum allocated to a number of cellular users with a certain percentage to meet the requirements of Qo S of D2D communications and reduce the interference to cellular users. Finally, the simulation results demonstrate that the proposed algorithm can meet the needs of D2D users, balance the traffic load and improve the overall throughput of the system.

A new relative efficiency in parameter estimation for linear model

A new relative efficiency of parameter estimation for generalized Gauss-Markov linear model was proposed. Its lower bound was also derived. Its properties were explored in comparison with three currently very popular relative efficiencies. The new relative efficiency not only reflects sensitively the error and loss caused by the substitution of the least square estimator for the best linear unbiased estimator, but also overcomes the disadvantage of weak dependence on the design matrix.

Study on the partner selecting method of strategic alliance inhigh and new technology enterprises

A successful and effective strategic alliance involves many factors, of which selecting a proper partner is the most important factor to achieve the success of the alliance. In view of the characteristics of strategic alliance in high and new technology enterprises and according to the analysis on the standards of partner selecting and the factors of the success of alliance, this paper does some deeper research on the partner selecting and the alliance evaluation process from the perspective of different strategic levels by using a fuzzy comprehensive evaluating method, thus providing a method to select the alliance partner for high and new technology enterprises in China.

Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network

This paper designs an intelligent evaluation approach using a Radial Basis Function （RBF） Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offers scientific substance for creating a development plan and the strategic management of high-tech industry and regional clusters of high-tech enterprises. Furnhermore, this paper selects some typical high-tech enterprises＇ data to make comprehensive training on the network system. Meanwhile, the paper chooses some enterprises as testing samples to test the method, the result of which proves that this method is truly effective. The research of this paper provides a comprehensive advantage evaluating and managing method for high-tech enterprise.

Power Uprate and Lifetime Extension

Overall purpose of a power uprate and lifetime extension project （PLEX） is to modernize the power station cost-efficiently resulting in fulfilling the following overall requirements. The primary target is to meet the requirements provided by the local regulations from the regulatory offices. The controlling, monitoring and power supply of safety functions have to comply with these regulations. Any deviations from the existing safety analysis report （SAR） have to be corrected. On top of the safety measures the general technical status should be raised to extend the lifetime to 60 years. A high availability during the modernization has to be assured.

The Research and Analysis to the Financing Dilemma and Countermeasures of China＇s Medium and Small Sized High-tech Enterprises

The Financing problem of Medium and small Sized High-tech Enterprises is the key point to enterprises＇ survival and development. Firstly it is pointed out that the difficulty in financing is due to without enough emphasis on Medium and Small Sized High-tech Enterprises, without sound targeted laws and regulations, the imperfect credit guarantee system, and corporate governance structure problem of the enterprise Then, according to the problems existing in the financing of China＇s Medium and Small Sized High-tech Enterprises, the assay put forward several countermeasures which have referential value.

Numerical Simulation of High-Power Synthetic Jet Actuator Flowfield and its Influence on Mixing Control

Detailed two-dimensional unsteady numerical simulation is carried out to investigate a high-power synthetic jet actuator flow field and its design characteristic. Simultaneously, mixing control mechanism of coaxial jets with actuators is also studied. Firstly, excitation frequency （rotating speed）, piston displacement and its exit slot width have effect on the controlling ability and controlling efficiency of actuator. With the invariable model and con- cerned parameters, the actuator becomes more desirable as the rotating speed increases. Average velocity and maximal velocity at the actuator exit section increase as the piston displacement enlarges or the exit slot width decreases. But the actuator does not always exhibit good performance with the narrower exit. Secondly, the synthetic jets also have the ＂push＂ effect on the coaxial jets, which results in the fluctuation of vorticity and temperature distribution of mixing flowfield. Finally, the employment of synthetic jet actuator can achieve mixing enhancement significantly.

Magnetic Flux Leakage Signal Inversion of Corrosive Flaws Based on Modified Genetic Local Search Algorithm

In this paper,a modified genetic local search algorithm(MGLSA) is proposed.The proposed algorithm is resulted from employing the simulated annealing technique to regulate the variance of the Gaussian mutation of the genetic local search algorithm(GLSA).Then,an MGLSA-based inverse algorithm is proposed for magnetic flux leakage(MFL) signal inversion of corrosive flaws,in which the MGLSA is used to solve the optimization problem in the MFL inverse problem.Experimental results demonstrate that the MGLSA-based inverse algorithm is more robust than GLSA-based inverse algorithm in the presence of noise in the measured MFL signals.