关于改进高职学生数学学习困难的探讨和研究

从学生的认知角度出发,对高职学生数学学习困难的认知特点及元认知特点进行了探讨,并提出了改进的方法和建议。     

PEAK COVARIANCE STABILITY OF A RANDOM RICCATI EQUATION ARISING FROM KALMAN FILTERING WITH OBSERVATION LOSSES

We consider the stability of a random Riccati equation with a Markovian binary jump coefficient. More specifically, we are concerned with the boundedness of the solution of a random Riccati difference equation arising from Kalman filtering with measurement losses. A sufficient condition for the peak covariance stability is obtained which has a simpler form and is shown to be less conservative in some cases than a very recent result in existing literature. Furthermore, we show that a known sufficient condition is also necessary when the observability index equals one.     

CONSTRUCTIVE KISSING NUMBERS IN HIGH-DIMENSIONAL SPACES

In the present paper, we focus on constructive spherical codes. By employing algebraic geometry codes, we give an explicit construction of spherical code sequences. By making use of the idea involved in the proof of the Gilbert-Varshamov bound in coding theory, we construct a spherical code sequence in exponential time which meets the best-known asymptotic bound by Shamsiev and Wyner.     

中英师范教育专业课程对比分析及思考

通过对中英师范教育专业课程设置的对比分析，肯定英国师范课程设置的优势；指出我国师范课程设置的不足．阐述我国师范课程改革的必要性以及重构我国师范课程的个人观点。     

论建立学校安全责任强制保险制度

学校安全事故频繁发生,我国现在学校安全保险法律制度不完善。作者分析了中国目前学校安全责任制度存在的问题,并提出了关于建立学校安全责任绝对强制保险制度的建议。     

基于循环经济模式的交通运输可持续发展研究

文章阐明了循环经济的基本概念和基本理论，在分析我国交通运输业可持续发展面临的诸多问题后，结合循环经济模式对我国交通运输可持续发展战略进行了研究。     

普通高校体育教育专业田径专修跨栏教学素质教育模式的再探

对体育教育专业如何与“素质教育”良性接轨进行了探索与研究,旨在能够为全面推进体育教育专业素质教育改革起到抛砖引玉的作用.研究结果表明：设计的教学模式有助于实现从应试教育向素质教育的良性转化;还有助于在普通高校体育教育专业田径专修跨栏教学中增强学生的自信心,提高教与学的效率.     

Philosophy of chemistry and the image of science

The philosophical analysis of chemistry has advanced at such a pace during the last dozen years that the existence of philosophy of chemistry as an autonomous discipline cannot be doubted any more. The present paper will attempt to analyse the experience of philosophy of chemistry at the, so to say, meta-level. Philosophers of chemistry have especially stressed that all sciences need not be similar to physics. They have tried to argue for chemistry as its own type of science and for a pluralistic understanding of science in general. However, when stressing the specific character of chemistry, philosophers do not always analyse the question ‘What is science?’ theoretically. It is obvious that a ‘monistic’ understanding of science should not be based simply on physics as the epitome of science, regarding it as a historical accident that physics has obtained this status. The author’s point is that the philosophical and methodological image of science should not be chosen arbitrarily; instead, it should be theoretically elaborated as an idealization (theoretical model) substantiated on the historical practice of science. It is argued that although physics has, in a sense, justifiably obtained the status of a paradigm of science, chemistry, which is not simply a physical science, but a discipline with a dual character, is also relevant for elaborating a theoretical model of science. The theoretical model of science is a good tool for examining various issues in philosophy of chemistry as well as in philosophy of science or science studies generally.     

Global Optimization in Any Minkowski Metric: A Permutation-Translation Simulated Annealing Algorithm for Multidimensional Scaling

It is well known that considering a non-Euclidean Minkowski metric in Multidimensional Scaling, either for the distance model or for the loss function, increases the computational problem of local minima considerably. In this paper, we propose an algorithm in which both the loss function and the composition rule can be considered in any Minkowski metric, using a multivariate randomly alternating Simulated Annealing procedure with permutation and translation phases. The algorithm has been implemented in Fortran and tested over classical and simulated data matrices with sizes up to 200 objects. A study has been carried out with some of the common loss functions to determine the most suitable values for the main parameters. The experimental results confirm the theoretical expectation that Simulated Annealing is a suitable strategy to deal by itself with the optimization problems in Multidimensional Scaling, in particular for City-Block, Euclidean and Infinity metrics.