基于高阶累积量和瞬时特征的调制识别算法

从特征参数提取角度出发,提出了一种基于高阶累积量和瞬时特征的信号调制识别算法。该算法从调制信号高阶累积量中提取出稳健的特征参数,并结合改进的瞬时特征参数,采用决策树的方法对信号进行调制识别。与传统决策论识别算法相比,本算法特征参数较少,识别类型多。最后仿真结果表明,该算法在较低信噪比下具有很好的识别率（〉95％）。     

Variation of the inflammatory response of an autologus implant function and viability: mixed and unilateral inflammatory response]

The behaviour of an autologous grafted implant depends upon its viability. In our study, pericardial implants were used as cardiac valves. Results showed that when using fresh live pericardium, an inflammatory response developed destroying it within 8 days. When implants cells were killed without alteration of their antigenicity--in order to prevent rejection--cellular growth and neovascularisation from implantation site occurred leading to a secondary live graft. Controlled killing of the implant seems to be an essential step in order to get live grafts.     

The use of canonical correlation analysis to identify the order of multivariate ARMA models: simulation and application

This paper is concerned with how canonical correlation can be used to identify the structure of a linear multivariate time series model. We describe briefly methods that use the canonical correlation technique and present simulation results in order to compare and evaluate the performance of these methods. The methods are also applied to a well‐known multivariate time series. Copyright © 2000 John Wiley & Sons, Ltd.     

Quarterly forecasts of the italian business cycle by means of monthly economic indicators

Recent years have witnessed a growing availability of high-frequency indicators which can be used to forecast future economic activity. This paper shows how some of the widely known monthly economic indicators at present available in Italy can be used in a systematic and coordinated manner to forecast the main variables of the National Accounts. In order to reduce as much as possible the amount of judgment in the analysis of the business cycle, a model-based approach is adopted. Thus, a pseudo macro-econometric model of the Italian economy is built, which can be used to produce forecasts one semester ahead of the last National Accounts data release. The model can be used autonomously as well as in combination with the Bank of Italy's quarterly econometric model.     

降落伞技术的研究进展及展望

降落伞是一种应用极为广泛的气动力减速装置.根据降落伞的发展历程，本文将降落伞的发展历史总结为初期发展阶段、基础发展阶段、蓬勃发展阶段和实用化、新型化研究四个阶段.在此基础上，对实验研究和计算机模拟等重要研究手段在降落伞研制中的应用进行了具体的分析和讨论，并就如何提高降落伞的工作包线和控制技术做了评述，以进一步推动新理论涌现和新技术的应用。     

Reduction of the number of mice used for potency testing of human and animal rabies vaccines

Eight different rabies vaccines were tested for their potency in the standard mouse potency test using 3-, 5- and 7-week-old mice. 5-week-old mice seem to be best suited for this purpose, variability from test to test could be reduced considerably. An ELISA was used in parallel for the evaluation of the rabies glycoprotein content of rabies vaccines. Results of the mouse potency test correlated well with those of the ELISA if highly purified human vaccines were tested. Unspecific reactions in the ELISA caused by adjuvanted veterinary vaccines could not be blocked. Further experiments will be needed in order to evaluate the potency of inactivated veterinary rabies vaccines by a in vitro test.     

Reduction of the number of mice used for potency testing of human and animal rabies vaccines

Summary Eight different rabies vaccines were tested for their potency in the standard mouse potency test using 3-, 5- and 7-week-old mice. 5-week-old mice seem to be best suited for this purpose, variability from test to test could be reduced considerably. An ELISA was used in parallel for the evaluation of the rabies glycoprotein content of rabies vaccines. Results of the mouse potency test correlated well with those of the ELISA if highly purified human vaccines were tested. Unspecific reactions in the ELISA caused by adjuvanted veterinary vaccines could not be blocked. Further experiments will be needed in order to evaluate the potency of inactivated veterinary rabies vaccines by a in vitro test.     

Analysis of the relationship between LSTM network traffic flow prediction performance and statistical characteristics of standard and nonstandard data

The effectiveness of road traffic control systems can be increased with the help of a model that can accurately predict short-term traffic flow. Therefore, the performance of the preferred approach to develop a prediction model should be evaluated with data sets with different statistical characteristics. Thus a correlation can be established between the statistical properties of the data set and the model performance. The determination of this relationship will assist experts in choosing the appropriate approach to develop a high-performance short-term traffic flow forecasting model. The main purpose of this study is to reveal the relationship between the long short-term memory network (LSTM) approach's short-term traffic flow prediction performance and the statistical properties of the data set used to develop the LSTM model. In order to reveal these relationships, two different traffic prediction models with LSTM and nonlinear autoregressive (NAR) approaches were created using different data sets, and statistical analyses were performed. In addition, these analyses were repeated for nonstandardized traffic data indicating unusual fluctuations in traffic flow. As a result of the analyses, LSTM and NAR model performances were found to be highly correlated with the kurtosis and skewness changes of the data sets used to train and test these models. On the other hand, it was found that the difference of mean and skewness values of training and test sets had a significant effect on model performance in the prediction of nonstandard traffic flow samples.     

碱厂白泥资源化处理技术的进步与展望

白泥是氨碱法生产纯碱过程中产生的废渣,对环境和生态具有巨大危害,对其进行资源化处理可以使白泥在处理的同时被当作二次资源加以利用。近年来,白泥的资源化处理已取得巨大进步,相关技术包括将白泥与粉煤灰、钢渣、海湾泥等固废物复合利用,用白泥制造新型建筑材料、烟气脱硫剂、沥青混凝土填料,以及用白泥降解垃圾等等,这些技术在一定程度上实现了白泥以废制废、变废为宝的目的,但仍有不足之处。未来对白泥的处理,一方面要改进原有纯碱生产工序,减少白泥排放;另一方面要完善现有技术的不足和开创新的处理技术．加大对白泥的处理力度．消除白泥对人类的危害。     

Philosophy,history and sociology of science: Interdisciplinary relations and complex social identities

Sociology and philosophy of science have an uneasy relationship, while the marriage of history and philosophy of science has—on the surface at least—been more successful. I will take a sociological look at the history of the relationships between philosophy and history as well as philosophy and sociology of science. Interdisciplinary relations between these disciplines will be analysed through social identity complexity theory in order to draw out some conclusions on how the disciplines interact and how they might develop. I will use the relationships between the disciplines as a pointer for a more general social theory of interdisciplinarity which will then be used to sound a caution on how interdisciplinary relations between the three disciplines might be managed.     

DLMS/COSEM在三相智能电表中的应用与实现

为了实现智能电表的互操作性和易扩展性,提出了一种DLMS/COSEM标准协议在三相智能电表中实现的新方法.智能电表硬件以单片机和计量芯片为核心,软件采用严格的分层设计,并引入任务调度和消息处理机制,最大限度地降低了各模块间的耦合度.本智能电表作为智能电表平台进行二次开发,能有效地减少开发工作量,从而快速满足不同地区的需求.智能电表已通过DLMS的CTT测试,表明符合DLMS规范.     

许可协议中的知识产权滥用及其规制--由DVD事件引发的法律思考

DVD专利联合许可在一定条件下属于对知识产权的正常行使。但当它妨碍了竞争,它不仅是对知识产权的滥用,而且还会落入反垄断法适用的范围,即可能构成限制竞争协议或滥用市场支配地位。然而,由于我国目前尚无一部独立的反垄断法,使我国对此规制处于空白状态,其结果将导致对不断出现的类似事件的失控,并将制约我国市场经济的发展。为遏制对知识产权的滥用,制订我国反垄断法已刻不容缓。     

黄群藻目分类系统述评及主要分类特征的评价

黄群藻目Synurales是主要根据光合色素和亚显微结构特征建立的一个目,也是淡水金藻中较大的一个目,包括约160种。该目的植物体为自由运动的单细胞或群体,细胞的表质上覆盖许多硅质的鳞片,以覆瓦状、甲胄状排列或自由附着于表质上,鳞片具刺毛或无,具1条或2条不等长鞭毛。黄群藻目植物区别于其它金藻植物的主要特征为,它们的色素体仅含有叶绿素C1,鞭毛基部平行排列,并且形成硅质鳞片的硅质沉积孢囊与叶绿体外膜相连。自建立至今,该目的分类系统几经变化。本文综述了黄群藻目分类系统的研究进展,并对其主要形态特征的分类价值进行了分析。     

Bariumtitanat-Druckgeber für Dekompressionsversuche

Summary The properties and advantages of barium titanate transducers for pressure registrations have been described. If the rate of pressure change is less than 10^–3 s, a barium titanate transducer with a cathode ray oscilloscope as commonly used is sufficient. Pressure changes with a duration of up to 1 s can be recorded by means of a barium titanate transducer, cathode follower with open grid, and D.C. oscilloscope. This arrangement can be adapted to the registration of processes of even longer duration by a shunt capacity. The sensativity of the transducer used was in the order of 2 V per 1 atm.     

Benchmark Forecast and Error Modeling

For a target socioeconomic variable with data from two sources, benchmarking is a process which uses less frequent and more reliable data, called benchmarks, to adjust more frequent and less reliable data. Consequently, forecasts of unknown benchmarks are obtained. The regression method of benchmarking may lead to better results than widely used numerical methods, but the model for the error of the more frequent data is supposed to be known. By properly choosing a first‐order autoregressive model as ‘working model’ for the error, the regression method may work well in reality. We present two new error modeling procedures via inside‐data‐period benchmark forecasts. The performance of several modeling procedures is compared. These results may provide analysts with guidelines for choosing working models for the error in developing and applying benchmarking software. Copyright © 2016 John Wiley & Sons, Ltd.     

Bootstrap prediction intervals for autoregressive models of unknown or infinite lag order

Recent studies on bootstrap prediction intervals for autoregressive (AR) model provide simulation findings when the lag order is known. In practical applications, however, the AR lag order is unknown or can even be infinite. This paper is concerned with prediction intervals for AR models of unknown or infinite lag order. Akaike's information criterion is used to estimate (approximate) the unknown (infinite) AR lag order. Small‐sample properties of bootstrap and asymptotic prediction intervals are compared under both normal and non‐normal innovations. Bootstrap prediction intervals are constructed based on the percentile and percentile‐t methods, using the standard bootstrap as well as the bootstrap‐after‐bootstrap. It is found that bootstrap‐after‐bootstrap prediction intervals show small‐sample properties substantially better than other alternatives, especially when the sample size is small and the model has a unit root or near‐unit root. Copyright © 2002 John Wiley & Sons, Ltd.     

Forecasting of electricity price through a functional prediction of sale and purchase curves

This work proposes a new approach for the prediction of the electricity price based on forecasting aggregated purchase and sale curves. The basic idea is to model the hourly purchase and the sale curves, to predict them and to find the intersection of the predicted curves in order to obtain the predicted equilibrium market price and volume. Modeling and forecasting of purchase and sale curves is performed by means of functional data analysis methods. More specifically, parametric (FAR) and nonparametric (NPFAR) functional autoregressive models are considered and compared to some benchmarks. An appealing feature of the functional approach is that, unlike other methods, it provides insights into the sale and purchase mechanism connected with the price and demand formation process and can therefore be used for the optimization of bidding strategies. An application to the Italian electricity market (IPEX) is also provided, showing that NPFAR models lead to a statistically significant improvement in the forecasting accuracy.     

运用生物大分子检测环境质量变异的研究进展

以DNA和蛋白质等生物大分子作为生物标志物在环境监测中应用广泛。本文在总结前人工作的基础上，根据前人的经验，对某些现存问题提出一些看法及可能的解决方案。     

Glycofection: facilitated gene transfer by cationic glycopolymers

Mammalian cells express several types of lectins involved in intracellular trafficking, including endocytosis, interorganelle routing and putatively nuclear import. In order to enhance the gene transfer efficiency, glycosylated cationic polymers have been used as nonviral vectors. We developed a simple method to convert reducing saccharides into glycosynthons. Glycosynthons are used to synthesize cationic glycopolymers, called Glycofectins. Glycofectins interact with a plasmid to give a glycoplex, a compacted form of a polymer/DNA complex. The high glycoplex efficiency depends on the sugar involved in the uptake and in the intracellular trafficking of glycoplexes. The present paper deals with glycoplexes, with gene transfer into cystic fibrosis airway epithelial and gland serous cells, and with some of the problems that have to be solved before clinical trials.     

Predictive modeling of consumer color preference: Using retail data and merchandise images

The popularity of a fashion item depends on its color, shape, texture, and price. For different items (with all attributes identical except color) of a specific product, fashion retailers need to learn consumer color preference and decide their order quantities accordingly to match their products to consumer demand. This study aims to predict consumer color preference using the knowledge learned from merchandise images, historical retail data, and fashion trends. In our work, merchandise images are analyzed to extract color features, and the retail data of a sportswear retailer are used to reveal consumer choices among items with various colors. Choice behavior is described by a multinomial logit model, whose utility function captures the relationship between color features and popularity. Both linear functions and neural networks are applied to represent the utility function, and their out-of-sample prediction performances are compared. According to the out-of-sample performance test, our model shows reasonable predictive power and can outperform order decisions made by fashion buyers.