Empirical Analysis on Chinese Urban Residents＇ Behavior＇s Differences in Different income -a SAM Multiplier Analysis

Based on SAM Multiplier theory, this paper discloses the structural characteristics of Chinese Urban Residents＇ Consumption. The main conclusions are as follows. Firstly, economic development in different sectors is unbalanced and especially consumption insufficiency is emerging; secondly, the effects of households by income group on the commodities are different; thirdly, consumption capability of Chinese urban residents is in the stage of durable consumable, but the highest income group is swifting to the higher stage and households with low income are entering the stage; finally, Chinese clothing, service and information industries have huge potential to develop while the latent demands are scarcity for that of the food, resident and education, cultural and entertainment industries.     

Foreword to the Special Issue

<正>On May 12, 2019 we shall celebrate the centenary birthday of the late Professor Wu WenTsün (1919—2017), one of the most famous and influential mathematicians in China. Wu made foundational contributions to the field of topology and established Mathematics Mechanization as a discipline. He devoted himself to an academic career of more than six decades with leadership and extensive activities of research and education across mathematics to computer science and artificial intelligence. The scope of his research spans from algebraic topology,     

Multi-dimensional scattering properties diagnosis system of scale aircraft model in an anechoic chamber

Aiming at the concept of ＂diagnosis＂, a simple and effective broadband radar cross section （RCS） measurement system is constructed, and some multi-dimensional scattering properties diagnosis techniques are presented based on the system. Firstly, a stepped-frequency signal is employed to achieve high range resolution, combining with a variety of signal processing tech- niques. Secondly, cross-range resolution is gained with a rotating table, and the high-resolution two-dimensional （2-D） imaging of the scale model is obtained by the microwave imaging theory. Finally, two receiving antennas with a small distance in altitude are used, and the three-dimensional （3-D） height distribution of scattering points on the scale model is extracted from the phase of images. Some typical bodies and a scale aircraft model are diagnosed in an anechoic chamber. The experimental results show that, after scaling with a metal sphere, the accurate one- dimensional （l-D） RCS pattern of the model is obtained, and it has a large dynamic range. When the bandwidth of the transmitting signal is 4 GHz, the resolution of the 2-D image can reach to 0.037 5 m. The 3-D height distribution of scattering points is given by interferometric measurement. This paper provides a feasible way to obtain high-precision scattering properties parameters of the scale aircraft model in a conventional rectangular anechoic chamber.     

KNOWLEDGE PROCESS ANALYSIS： FRAMEWORK AND EXPERIENCE

We present a step-by-step approach for constructing a framework for knowledge process analysis （KPA）. We intend to apply this framework to the analysis of own research projects in an exploratory way and elaborate it through the accumulation of case studies. This study is based on a methodology consisting of knowledge process modeling, primitives synthesis, and reflective verification. We describe details of the methodology and present the results of case studies： a novel methodology, a practical work guide, and a tool for KPA; insights for improving future research projects and education; and the integration of existing knowledge creation theories.     

Novel region-based image compression method based on spiking cortical model

To get the high compression ratio as well as the high-quality reconstructed image, an effective image compression scheme named irregular segmentation region coding based on spiking cortical model(ISRCS) is presented. This scheme is region-based and mainly focuses on two issues. Firstly, an appropriate segmentation algorithm is developed to partition an image into some irregular regions and tidy contours, where the crucial regions corresponding to objects are retained and a lot of tiny parts are eliminated. The irregular regions and contours are coded using different methods respectively in the next step. The other issue is the coding method of contours where an efficient and novel chain code is employed. This scheme tries to find a compromise between the quality of reconstructed images and the compression ratio. Some principles and experiments are conducted and the results show its higher performance compared with other compression technologies, in terms of higher quality of reconstructed images, higher compression ratio and less time consuming.     

Stochastic comparisons in a price-quantity setting firm with uncertain demand and emergency procurement

We consider a newsvendor problem with price-dependent demand, in either additive or multiplicative format. The newsvendor has two modes of purchasing： regular ordering at the beginning of the selling season and emergency ordering （if the realized demand exceeds the initial order quantity） at the end of the selling season. By stochastic comparisons, we systematically investigate the effects of demand magnitude and demand randomness on pricing and ordering quantity decisions as well as expected profit of the newsvendor, under both usual stochastic order （first order stochastic dominance） and convex order （less variable）. Our key findings include： （i） in contrary to the case where price is exogenous, a stochastically larger demand shock may even lead to a lower order quantity; （ii） a stochastically larger demand shock leads to a higher price for the additive demand case, but may lead to a lower price for the multiplicative demand case; （iii） a stochastically larger demand shock leads to a higher expected profit for both demand models; （iv） in general, a less variable demand leads to a higher expected profit for both demand models; and furthermore, a less variable demand shock has no effect on price for the additive demand model, but leads to a higher price for the multiplicative demand model. The implications of all these findings for pricing and order quantity are discussed in detail.     

Modified unscented Kalman filter using modified filter gain and variance scale factor for highly maneuvering target tracking

To improve the low tracking precision caused by lagged filter gain or imprecise state noise when the target highly maneuvers, a modified unscented Kalman filter algorithm based on the improved filter gain and adaptive scale factor of state noise is presented. In every filter process, the estimated scale factor is used to update the state noise covariance Qk, and the improved filter gain is obtained in the filter process of unscented Kalman filter （UKF） via predicted variance Pk｜k-1, which is similar to the standard Kalman filter. Simulation results show that the proposed algorithm provides better accuracy and ability to adapt to the highly maneuvering target compared with the standard UKF.     

Quantitative Analysis of Impact of Education on Improving Farmers′ Net Income and Yield Per Capita

1　 IntroductionWith farmers covering 70 percent of whole population of China,improving farmers′income and theirconsumption level is the basis ofenlarging domestic needs and developingspeedy and healthy Chinese economy.How to improve farmers′income is always the focusof agricultural problem.Many international studies have shown that education and agricultural efficiency areclosely linked.Education and technology become more important in agriculture with thetransition from traditional to mod…     

Rough function model and rough membership function

Two pairs of approximation operators, which are the scale lower and upper approximations as well as the real line lower and upper approximations, are defined. Their properties and antithesis characteristics are analyzed. The rough function model is generalized based on rough set theory, and the scheme of rough function theory is made more distinct and complete. Therefore, the transformation of the real function analysis from real line to scale is achieved. A series of basic concepts in rough function model including rough numbers, rough intervals, and rough membership functions are defined in the new scheme of the rough function model. Operating properties of rough intervals similar to rough sets are obtained. The relationship of rough inclusion and rough equality of rough intervals is defined by two kinds of tools, known as the lower （upper） approximation operator in real numbers domain and rough membership functions. Their relative properties are analyzed and proved strictly, which provides necessary theoretical foundation and technical support for the further discussion of properties and practical application of the rough function model.     

我国高等教育自组织发展路径探讨

我国政府对高等教育的直接管理是一种他组织的管理,这种他组织的管理是造成我国高等教育供应不足、创新乏力、资源配置失灵、效率不高等问题的原因。而美国高等教育则走的是一条自组织的发展之路,表现出与环境相适应的多元化发展、持续的创新能力以及较高的办学效率等优势。要改变我国高等教育的现状,必须走高等教育自组织发展的道路,这首先要从高等学校产权改革、赋予社会自主办高等教育的权利、公平的和多元化的高等教育财政支助政策着手。     

Distance Education: A Reflective Action Research Project and Its Systemic Implications for Higher Education

This reflective action research study examines faculty experience with distance education. Distance education has become increasingly of interest in higher education and is seen by many as the opportunity for systemic change in higher education. This study is a reflective action research project which examined the author's experiences teaching a distance version of a basic instructional design course at the same time as teaching a residential version of that same course. The examination finds significant faculty issues that emerged during the experience and specifically found concerns with the distance education learner. In the end, the study finds that as a tool for systemic change of higher education, distance delivery will have to engage faculty with their concerns in more substantive ways than they have to date. In essence, this study asserts that the current demands on distance educators are not motivating for traditional faculty members because of increased time demands, lack of traditional rhythm, lack of personal contact with students, and less evident interest among distant students in the areas that faculty value.     

系统论在高校统计信息资源整合中的应用

本文在进一步阐述高校统计信息资源对于强化高校内部管理和优化高校外部环境积极作用的同时，通过结合系统论原理，分析当前高校统计信息管理现状，针对性地提出了整合高校统计信息资源的途径和手段，为高校统计信息资源更好地服务学校发展进行了有益尝试和深入探索。     

A multiyear lags input-holding-output model on education with excluding idle capital

This paper develops a multi-year lag Input-Holding-Output (I-H-O) Model on education with exclusion of the idle capital to address the reasonable education structure in support of a sustainable development strategy in China. First, the model considers the multiyear lag of human capital because the lag time of human capital is even longer and more important than that of fixed capital. Second, it considers the idle capital resulting from the output decline in education, for example, student decrease in primary school. The new generalized Leonitief dynamic inverse is deduced to obtain a positive solution on education when output declines as well as expands. After compiling the 2000 I-H-O table on education, the authors adopt modifications-by-step method to treat nonlinear coefficients, and calculate education scale, the requirement of human capital, and education expenditure from 2005 to 2020. It is found that structural imbalance of human capital is a serious problem for Chinese economic development. This research was supporting by the Key Project of National Natural Science Foundation of China under Grant No. 60874119, Innovation Funds of Chinese Academy of Sciences, Research Fund for Humanities and Social Sciences in colleges under Grant No. 06BJY102, Key project in Jiangxi Soft Science Project under Grant No. [2006]188, Jiangxi Research Fund for Humanities and Social Sciences in colleges under Grant No. 03JJ01, and Henan Research Fund for Humanities and Social Sciences in colleges under Grant No. 2008-ZD-002.     

消费者地理标志农产品购买行为实证分析——基于上海、北京和郑州市消费者的调查

以上海、北京和郑州市342个消费者问卷调查数据为基础,运用二元和多元Logistic回归模型对其消费者地理标志农产品购买行为的影响因素进行分析,结果表明：性别、年龄、婚姻、文化程度、职业、个人月均收入、家庭规模、对水果质量的关注、对水果价格高低的关注、对水果原产地的关注和销售员介绍等因素影响着消费者购买行为。     

浅谈系统思维方法在高校人才引进工作中的应用

本文探讨高校人才引进工作对于提高高校师资队伍建设水平、推动高等学校科学发展积极作用的同时,根据系统哲学和系统科学原理,分析当前高校人才引进工作现状,针对性地提出了加强高校人才引进工作的系统思维方法、途径和手段,为高校人才引进工作更好地服务学校发展进行了有益尝试和深入探索。     

略论高等教育策划的系统性

根据科学策划的要求，策划已不仅仅是点子、创意，个人的智慧行为，实际上是一个科学的系统工程。策划的系统性和高等教育的系统性，决定着高等教育策划是一项系统工程。高等教育策划必须遵循系统科学的基本原理和方法科学策划。     

层次分析法中几种标度的比较

提出了用保序性、一致性、标度均匀性、标度可记忆性、标度可感知性、标度权重拟合性等标准,综合评价层次分析法中的不同标度;并用上述标准对现有的几种标度进行了比较,结论是:对单一准则下的排序,各种标度法都具有保序性,因而建议使用1～9标度;对精度要求较高的多准则下的排序问题,建议使用指数标度e0/5～e8/5或e0/4～e8/4.     

一种改进的变尺度混沌优化算法及其仿真研究

为了避免混沌优化在区间内的盲目重复搜索，提高搜索效率，提出一种改进的变尺度混沌优化方法，该方法在混沌搜索过程中，只需设置两个循环，内循环进行混沌搜索，外循环负责缩小区间．将每次搜索到的较优值计数，并设置一个标志A，当搜索到较优值的次数=A时，则根据搜索区间的大小动态缩小空间，在小区间中再重复上述过程，直至找到全局最优解，方法非常简单。仿真结果表明，该方法局部搜索能力强，搜索效果优于变尺度混沌优化方法。     

金融资产多标度波动级串模型及其投资组合选择

依据金融资产多标度行为特征,从时间序列、标度结构两维度上建立波动级串模型,利用随机分割数和基元分割概率两个关键控制参量,将资产多标度波动递归表述成为积分标度波动特征,通过计算波动级串的高阶累积,建立资产多标度投资组合选择模型,进行多时间标度条件下的金融资产风险管理.