降低线性调频脉冲压缩信号旁瓣的方法

讨论线性调频脉冲压缩信号距离旁瓣的抑制。研究如何降低小时带积线性调频信号距离旁瓣电平问题,针对该信号频谱矩形特性差,提出了采用频谱修正方法来提高脉冲压缩信号的主副比。该方法具有全数字式处理特点,适宜使用IMS A100器件实现脉冲压缩处理。计算机模拟结果表明,无论是小时带积还是大时带积的线性调频信号,经谱修正后,脉冲压缩信号的主副比均舍得到提高。     

以意义为中心的布鲁纳文化心理学研究

美国著名教育心理学家和认知心理学家杰罗姆·布鲁纳,提出了以意义为中心的认知心理学体系,强调跨学科融合,推动了心理学和人类学的整合,探讨意义生成的过程与机制,形成了以意义与叙事为中心的文化心理学。布鲁纳建立的文化心理学通过对叙事实践的研究,探讨文化在经验、记忆和社会行为的形成过程中的作用,不仅促进了心理学和人类学的研究和理论化,还直接影响了教育、医学和法律领域的研究与实践,为理解文化与心智的关系做出了杰出的贡献。     

习近平外交话语英译的叙事建构 ——以《论坚持推动建构人类命运共同体》为例

作为习近平外交专著,《论坚持推动建构人类命运共同体》集中体现了新时代中国特色社会主义外交思想,全面体现了习近平外交叙事风格。以莫娜·贝克的叙事学概念为基础对习近平外交话语及英译进行分析,既能凸显译者作为翻译主体的作用和功效,又有助于中国外交叙事的建构。通过叙事策略的运作,包括建构时空、选择性采用文本素材、建构标示以及再定位人物事件,译文重构了习近平外交话语的本体叙事、公共叙事、概念叙事以及元叙事。同时,叙事学与外交翻译的结合不仅拓宽叙事学学科领域,为外交话语研究提供新视角,而且为完成既定的翻译使命提供了新的路径参考。保持政治上的高度、揣摩文化上的深度、把握思维上的向度以及巧用技能上的广度都成为译者顺利完成叙事建构的重要因素。     

个体身份与生命意义：肺癌网络社区的疾病叙事

文章通过对国内"医享网"癌症社区"肺癌圈"中33篇精华帖的叙事分析,探究其中生命故事的主体对自我身份的建构路径及其对生命价值的意义探寻,并尝试性地提出一些反思。研究发现,在自述和他述生命故事中,叙事者在信息寻求过程中改善自我印象,并运用"写作疗法""阅读疗法"和叙事隐喻理解疾病,帮助患者重塑自身角色。通过社群互动,患者形塑了对自身的身份认同,并形成了集体层面的生命价值观。从本研究的结论看,疾病叙事是癌症网络社区患者建构个体身份、形成身份认同的重要途径,叙事或可成为未来增进社会对癌症乃至其他疾病的理解、推进治疗与康复的可行之路。     

敦煌叙事文献《大目乾连冥间救母变文》英译的描写研究

“目连救母”是对中国民间习俗、戏曲文化等产生了深远影响的文化故事。《大目乾连冥间救母变文并图一卷并序》是敦煌出土的载述该故事的唐五代时期文献。二十世纪中期以来,汉学家们先后对该文献进行了英译,其成为在西方文化语境讲释“孝道”这一中国传统伦理思想的文字载体。通过双语语料的描写与对比,收集可观察的文本数据,可探究汉学家英译重构敦煌“救母”叙事过程中的决策机制和特点,以便为多语文化语境中“中国故事”的翻译与传播提供理论参照。     

麦家小说的性别政治——基于叙事学的考察

用后经典叙事学理论考察麦家小说,可见其叙事话语中体现出较鲜明的男性性别模式,主要表现在：一,塑造男性威权形象,强化男性叙事权威;二,将女性叙事设置为男性主体叙事的补充,使女性叙事边缘化,弱化女性叙事权威;三,用男性叙事解构女性叙事,降低女性叙事的可靠性。另外,麦家小说中女性的叙事声音总是表现出情绪化、非理性、个人性、私密性的特征;而男性叙事声音则更多与宏大叙事相关联,体现出社会性、公共性色彩,并且对与男权社会规范不相符的女性进行批判。通过这种男性中心的叙事策略,麦家小说中的男性形象多沉稳、理性、智慧、伟岸,而女性形象则基本与之相反,从而或隐或显地传达出麦家男性至上的性别观念。     

Measuring credibility of compensatory preference statements when trade-offs are interval determined

This paper studies how an overall fuzzy preference relation can be constructed in the compensatory context of the simple additive difference model, when imprecision on the trade-offs has to be taken into account. Three credibility indices of preferences are analysed and illustrated by a numerical example. Arguments are presented supporting the use of the third index, for which an interesting transitivity property (which was an open problem) is proved.     

常系数齐次线性微分方程组与其相应的差分方程组之间的联系

给出了求解常系数线性齐次微分方程组和常系数线性齐次差分方程组的一个方法,指出了这两种方程组之间存在的一个有趣关系．     

A Population Approach to Analysis of Variance Models

Several authors have contributed to what can now be considered a rather complete theory for analysis of variance in cases with orthogonal factors. By using this theory on an assumed basic reference population, the orthogonality concept gives a natural definition of independence between factors in the population. By looking upon the treated units in designed experiments as a formal sample from a future population about which we want to make inference, a natural parametrization of expectations and variances connected to such experiments arises. This approach seems to throw light upon several controversial questions in the theory of mixed models. Also, it gives a framework for discussing the choice of conditioning in models     

Finite mixture models with concomitant information: assessing diagnostic criteria for diabetes

The World Health Organization (WHO) diagnostic criteria for diabetes mellitus were determined in part by evidence that in some populations the plasma glucose level 2 h after an oral glucose load is a mixture of two distinct distributions. We present a finite mixture model that allows the two component densities to be generalized linear models and the mixture probability to be a logistic regression model. The model allows us to estimate the prevalence of diabetes and sensitivity and specificity of the diagnostic criteria as a function of covariates and to estimate them in the absence of an external standard. Sensitivity is the probability that a test indicates disease conditionally on disease being present. Specificity is the probability that a test indicates no disease conditionally on no disease being present. We obtained maximum likelihood estimates via the EM algorithm and derived the standard errors from the information matrix and by the bootstrap. In the application to data from the diabetes in Egypt project a two-component mixture model fits well and the two components are interpreted as normal and diabetes. The means and variances are similar to results found in other populations. The minimum misclassification cutpoints decrease with age, are lower in urban areas and are higher in rural areas than the 200 mg dl^-1 cutpoint recommended by the WHO. These differences are modest and our results generally support the WHO criterion. Our methods allow the direct inclusion of concomitant data whereas past analyses were based on partitioning the data.