潘立群运用补肾调周法治疗乳腺增生病的经验

潘立群教授总结中西医理论 ,认为月经周期中激素水平的变化与阴阳的消长密切相关 ,乳腺增生病的发生为阴阳消长转化不利所致 ,与肾、肝两脏关系密切。治疗以补肾调周为大法 ,以恢复患者激素生理水平。具体分为 4期 :经前期以补肾助阳为主 ,兼以活血散结化瘀 ;经后期以补肾养阴为主 ;月经间期在调补肾阴的同时兼加补阳之品 ;

加减柴胡龙骨牡蛎汤合调周法治疗失眠的研究

目的:观察加减柴胡龙骨牡蛎汤合调周法治疗生育期女性肝郁气滞型失眠的临床疗效。方法:将符合纳入标准的60例女性随机分为两组,治疗组给予加减柴胡龙骨牡蛎汤合调周法治疗,对照组给予舒眠胶囊治疗,治疗结束后观察疗效。结果:治疗组的有效率为93.33%,显效率为76.67%,对照组患者的有效率为80.00%,显效率为33.33%。治疗组和对照组比较,对于失眠治疗的改善差异具有统计学意义(P<0.05)。结论:加减柴胡龙骨牡蛎汤合调周法治疗生育期女性肝郁气滞型失眠有效。

抗击父进程检测的两种方法

介绍了两种检测抗父进程的实用方法,详细给出了实现机理及步骤.

Development of a distributed and integratable manufacturing execution system framework

Using remote method invocation (RMI) and a distributed object-oriented technique, this paper presents a systematic approach to developing a manufacturing execution system (MES) framework, which is open, modularized, distributed, configurable, interoperable and maintainable. Moreover, the design patterns for the framework .are developed and a variety of functional components are designed by inheriting appropriate patterns. And then an application is constructed by invoking corresponding methods of related components. An MES system implementing the framework and design patterns can be facilely integrated with other manufacturing applications, such as enterprise resource planning (ERP) and floor control system (FCS) .

16位和32位Windows应用程序设计的差异

Windows 95推出已近两年，再加上NT Workkstation 4．0中文版的推出，32位应用程序渐成时尚，而且随着时间的推移，16位与32位应用程序的差异性将日渐扩大。

Preliminary Investigation on Regulating Effects of Different TCM Treatments on Transcription of the Correlated Genes of Liver Cancer in Rats

The regulating effects of TCM treatments including clearing away heat and toxic materials,promoting blood circulation and removing blood stasis,and strengthening the spleen and regulating qi on the oncogene transcription were observed in the liver cancer model rats.The preliminary results indicated that the mRNA levels of H-ras N-ras and K-ras,and signal molecules correlated with the ras/MAPK signal transduction pathway were down-regulated by the different TCM treatments in varying degrees.Also,the regulating effects of the treatments on differently-displayed genes were discrepant.It is suggested that the molecular mechanisms of the TCM treatments for liver cancer was complex with different target genes.

Research on Gear-box Fault Diagnosis Method Based on Adjusting-learning-rate PSO Neural Network

Based on the research of Particle Swarm Optimization (PSO) learning rate, two learning rates are changed linearly with velocity-formula evolving in order to adjust the proportion of social part and cognitional part; then the methods are applied to BP neural network training, the convergence rate is heavily accelerated and locally optional solution is avoided. According to actual data of two levels compound-box in vibration lab, signals are analyzed and their characteristic values are abstracted. By applying the trained BP neural networks to compound-box fault diagnosis, it is indicated that the methods are sound effective.

基于嵌入式武控软件的数学模型验证研究

该文介绍了嵌入式武控软件数学模型的基本特点及基本验证方法。同时针对如何更加高效的完成数学模型验证工作,提出了使用函数调用选择法来进行武控软件的数学模型验证。

New Developments in Water Efficiency

An overview of significant new developments in water efficiency is presented in this paper. The areas covered will be legislative, regulatory, new programs or program wrinkles, new products, and new studies on the effectiveness of conservation programs. Examples include state and local level efficiency regulations in Texas; the final results of the national submetering study for apartments in the US; the US effort to adopt the IWA protocols for leak detection; new water efficient commercial products such as ET irrigation controllers, new models of efficient clothes washers, and innovative toilet designs.

Remedial Learning： A CALL Approach

Computer Assisted Language Learning （CALL） has been in use as a learner centered method since 1960. In this paper an attempt is made to evolve a Remedial Grammar （RG） which enables the teacher to develop a repertoire of remedial activities based on the errors identified following Error Analysis （EA） for repeated presentation. The error types are considered as teaching/learning points. The present paper argues that CALL is the right model for effective remedial learning. Remedial Gmaster （RGm）, an authoring package is introduced. This is an exclusive mode of error correction in which interlingual, intralingual, developmental, and global errors are dealt with. The syntactical problems due to the subtle difference between simple past and perfect tenses in English language use are discussed and CALL authoring package presented.

Analyzing Land-use Change in Farming-pastoral Transitional Region Using Autologistic Model and Household Survey Approach

Land change science （LCS） strives to understand and model land-use change, which will further advance the understanding of multiple issues in the socio-ecological systems. Based on GIS/RS techniques, autologistic model, and household survey method, this study investigated major land use changes and their causes from 1978 to 2008 in Uxin Banner （county-level）, Inner Mongolia in China and then developed an understanding of the relationships between household livelihood and land-use pattern. Results showed that cultivated land increased from 1988 to 2000, and leveled offafter 2000. Built-up land increased stably for the period 1978 2008. The change of grassland and bare land differed among the three periods. From 1978 to 1988, grassland increased by 23.3%, and bare land decreased by 20.48%. From 1988 to 2000, bare land expanded by 1.7%, but grassland declined by 1.3%. From 2000 to 2008, an increase in grassland area by 1.8% was observed, but a decrease in bare land area by 9.0% was witnessed. The autologistic models performed better than logistic models as indicated by lower Akaike Information Criterion （AIC） values. Factors associated with human activities significantly correlated with the change of cultivated land, forest land, grassland, and built-up land. The produce prices and extensive cultivated land use are major issues in the farming area. This study suggests that completing land circulation systems and maintaining the stability of price are effective solutions. By contrast, reclamation and overgrazing are major concerns in the pastoral areas. Implementing environmental policies effectively, transferring population out of rural pastoral areas, and developing modem animal husbandry are effective ways to address these issues.

Investigating the Implications of Virtualization for Digital Forensics

Research in virtualization technology has gained significant developments in recent years, which brings not only opportunities to the forensic community, but challenges as well. This paper discusses the potential roles of virtualization in digital forensics, examines the recent progresses which use the virtualization techniques to support modem computer forensics. The influences on digital forensics caused by virtualization technology are identified. Tools and methods in common digital forensic practices are analyzed, and experiences of our practice and reflections in this field are shared.

Application of Bit Error Rate Information Based on Weighted Error Estimating Code

Error Estimating Code (EEC) is a new channel coding method to estimate the Bit Error Rate (BER) information of the transmitted sequence. However, the estimated BER is not precise enough if the practical value of BER is high. A weighted EEC estimation method is proposed to improve the accuracy performance of BER estimation by classifying the raw estimation results into intervals and multiplying them by different coefficients separately. The applications of weighted EEC in modulation selection scheme and distributed video coding are discussed. Simulation results show that the EEC-based modulation selection method can achieve better performance at a cost of little redundancy and computation, and the EEC-based rate estimation method in distributed video coding can save the decoding time.

Efficient Task Scheduling for Many Task Computing with Resource Attribute Selection

Many Task Computing(MTC)is a new class of computing paradigm in which the aggregate number of tasks,quantity of computing,and volumes of data may be extremely large.With the advent of Cloud computing and big data era,scheduling and executing large-scale computing tasks efficiently and allocating resources to tasks reasonably are becoming a quite challenging problem.To improve both task execution and resource utilization efficiency,we present a task scheduling algorithm with resource attribute selection,which can select the optimal node to execute a task according to its resource requirements and the fitness between the resource node and the task.Experiment results show that there is significant improvement in execution throughput and resource utilization compared with the other three algorithms and four scheduling frameworks.In the scheduling algorithm comparison,the throughput is 77%higher than Min-Min algorithm and the resource utilization can reach 91%.In the scheduling framework comparison,the throughput(with work-stealing)is at least 30%higher than the other frameworks and the resource utilization reaches 94%.The scheduling algorithm can make a good model for practical MTC applications.

Two-stage stochastic approach for spinning reserve allocation in dynamic economic dispatch

A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decomposed algorithm based on Benders' decomposition.The model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,respectively.Test results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 min.The test results also illustrate that the proposed approach is efficient and suitable for large system calculation.

Adaptive resource allocation for multi-user multi-server power-line communication OFDM systems

The bits and power allocation model of adaptive power-rate mixture for multi-user multi-server power-line communication systems was analyzed with the restrictions of maximal total power,fixed rate for each real time (RT) user,minimal rate for each non-real time (NRT) user,maximal bits and power for each subcarrier in each orthogonal frequency division multiplexing (OFDM) symbol. An algorithm of resource dynamic allocation in the first OFDM symbol of each frame and resource optimal adjustment in the latter OFDM symbol of each frame was proposed. In the first OFDM symbol of every frame,resource is firstly assigned for RT users so as to minimize their total used power until satisfying their fixed rates; secondly the remainder resource of power and subcarriers are assigned for NRT users so as to minimize their total used power until satisfying their minimal rates also; lastly the remainder resource is again assigned for NRT users according to the proportional fairness strategy so as to maximize their total assigning rate. In the latter OFDM symbol of each frame,bits are swapped and power is adjusted for every user based on the resource allocation results of anterior OFDM symbol. The algorithm is tested in the typical power-line channel scenarios and the simulation results indicate that the proposed algorithm has better performances than the classical multi-user resource allocation algorithms and it realizes the multiple aims of multi-user multi-server resource allocation for power-line communication systems.

Consequence and Path Analysis of Balanced Scorecard Usage： Evidence From Chinese Public Hospitals

Based on a questionnaire survey of Chinese public hospitals, this paper explores the consequence and realization path of balanced scorecard （BSC, hereafter） usage. The results show that BSC usage can improve hospital performance remarkably. With the structural equation model analysis, we further find that, this function is realized in an indirect way through the perception of organizational fairness and organizational commitment. The BSC has direct effect to improve the perception of organizational fairness and organizational commitment, which further influence the performance. The results not only complement empirical evidences for BSC usage, but also provide guidance to regulators and hospitals to implement BSC in compensation contract.

he adaptive chirplet transform and its application in GPR target detection

GPR has become an important geophysical method in UXO and landmine detection, for it can detect both metal and non-metallic targets. However, it is difficult to remove the strong clutters from surface-layer reflection and soil due to the low signal to noise ratio of GPR data. In this paper, we use the adaptive chirplet transform to reject these clutters based on their character and then pick up the signal from the UXO by the transform based on the Radon-Wigner distribution. The results from the processing show that the clutter can be rejected effectively and the target response can be measured with high SNR.

Hybrid Optimization of Support Vector Machine for Intrusion Detection

Support vector machine (SVM) technique has recently become a research focus in intrusion detection field for its better generalization performance when given less priori knowledge than other soft-computing techniques. But the randomicity of parameter selection in its implement often prevents it achieving expected performance. By utilizing genetic algorithm (GA) to optimize the parameters in data preprocessing and the training model of SVM simultaneously, a hybrid optimization algorithm is proposed in the paper to address this problem. The experimental results demonstrate that it’s an effective method and can improve the performance of SVM-based intrusion detection system further.