大学生感恩教育浅议

感恩意识缺失是当代大学生中存在的一个比较严重的问题。论文分析了大学生感恩意识缺失的成因,并对大学生感恩教育的对策、途径与方法进行了初步的探讨。     

玉林市的优势、问题和经济发展对策研究

玉林市拥有的优势主要有区位优势、扎实的经济基础、完善职业教育、高素质的人力资源、稳步发展的产业对接和丰富的旅游资源。玉林市发展的主要问题是:环境问题、观念问题和隐性重复建设问题。玉林市经济发展应树立正确的生产经营理念,提高和加强服务意识,在承接产业转移中必须建立合作共赢机制,抓好产业选择与布局,用好稀缺经济资源,大力发展旅游经济。     

加快经济增长方式的转变

经济增长方式转变的实质是提高生产要素的素质和效率 ,实现速度和结构、质量、效益相统一。经济增长方式转变的关键在于产业结构的优化升级 ,需要经济体制的转变相配合。加快经济增长方式转变具有紧迫性 ,这是实施可持续发展战略 ,保持国民经济持续、快速、健康发展的迫切要求 ,也是我国经济提高国际竞争力的必然选择。针对当前突出的问题 ,加快经济增长方式转变的主要措施是 ,坚持以经济结构调整为主线发展经济 ,加快推进以产权制度改革为中心的深度市场化改革 ,深化政府管理体制改革和完善社会主义市场经济的法制     

图书馆计算机网络安全与防范

随着互联网的迅速发展和广泛应用,网络信息安全问题显得愈来愈严峻。本文分析了图书馆计算机网络的安全隐患,并提出了相应的防范措施。     

学分制下实现人才培养目标措施的探索

结合西南科技大学建筑环境与设备工程专业培养方案探讨了学分制下实现人才培养目标的措施     

Maximum Test versus Adaptive Tests for the Two-Sample Location Problem

For the non-parametric two-sample location problem, adaptive tests based on a selector statistic are compared with a maximum and a sum test, respectively. When the class of all continuous distributions is not restricted, the sum test is not a robust test, i.e. it does not have a relatively high power across the different possible distributions. However, according to our simulation results, the adaptive tests as well as the maximum test are robust. For a small sample size, the maximum test is preferable, whereas for a large sample size the comparison between the adaptive tests and the maximum test does not show a clear winner. Consequently, one may argue in favour of the maximum test since it is a useful test for all sample sizes. Furthermore, it does not need a selector and the specification of which test is to be performed for which values of the selector. When the family of possible distributions is restricted, the maximin efficiency robust test may be a further robust alternative. However, for the family of t distributions this test is not as powerful as the corresponding maximum test.     

The Interestingness Paradox in Pattern Discovery

Noting that several rule discovery algorithms in data mining can produce a large number of irrelevant or obvious rules from data, there has been substantial research in data mining that addressed the issue of what makes rules truly 'interesting'. This resulted in the development of a number of interestingness measures and algorithms that find all interesting rules from data. However, these approaches have the drawback that many of the discovered rules, while supposed to be interesting by definition, may actually (1) be obvious in that they logically follow from other discovered rules or (2) be expected given some of the other discovered rules and some simple distributional assumptions. In this paper we argue that this is a paradox since rules that are supposed to be interesting, in reality are uninteresting for the above reason. We show that this paradox exists for various popular interestingness measures and present an abstract characterization of an approach to alleviate the paradox. We finally discuss existing work in data mining that addresses this issue and show how these approaches can be viewed with respect to the characterization presented here.     

加强对外汉语教学之我见

本文分析了新时期对外汉语教育兴起的原因 ,说明了留学生教育是对外汉语教育的基石 ,并对当前如何加强我国对外汉语教育提出了建议和解决的措施。     

Outcome measurement in work with children: Comparing plans in the UK with experience in the US

The arguments of the Department of Health working party in their publication Assessing Outcomes in Child Care (1992) are reviewed and the proposals in the report compared with the experience of the Community Infant Project (CIP) in Boulder, Colorado. The suggestion that standardized measures are required for comparability of service outcomes is accepted but the working party's decision to advocate a system of schedules which relies upon workers' subjective ratings and the arguments upon which this is based are questioned. The working party's approach is contrasted to that found in the CIP, where standardized outcome measures are employed. Results from the author's research into the outcome of an untreated control group (for the CIP programme) are presented as one example of the benefits of the use of outcome measurement in work with children. The Government should ensure that UK practice benefits from the different approach and philosophy to be found in the US experience.     

Concentration functions and Bayesian robustness

The concentration function, extending the classical notion of Lorenz curve, is well suited for comparing probability measures. Such a feature can be useful in different issues in Bayesian robustness, when a probability measure is deemed a baseline to be compared with other measures by means of their functional forms. Neighbourhood classes Γ of probability measures, including well-known ones, can be defined through the concentration function and both prior and posterior expectations of given functions of the unknown parameter are studied. The ranges of such expectations over Γ can be found, restricting the search among the extremal measures in Γ. The concentration function can be also used as a criterion to assess posterior robustness, when considering sensitivity to changes in the likelihood and the prior.