传统工科专业人才培养改革的探索与实践——以重庆文理学院机械工程专业为例

新时代对我国高等工程教育提出了新的要求，工程教育应加强改革创新，着力解决工程技术人才供需结构失衡，专业建设及人才培养对接新经济、新产业不够，学生新知识、新技术、新素养不足等难题。为支撑和引领地方经济发展，重庆文理学院主动对接本区域智能制造相关新兴产业，积极探索传统工科专业转型发展的模式与路径，按照新工科的特征、内涵和要求转型发展机械工程专业，确立专业人才培养新理念，将行业和企业新知识、新技术、新标准等融入人才培养过程中，构建了学科交叉融合的工业机器人新工科工程技术人才培养新体系，重点培养能够适应当前及未来变化需要的工业机器人相关工程技术人才，取得了较好的实效。     

学前儿童基于重量和声音进行因果推理的发展研究

儿童的推理能力历来都是考察儿童认知发展的重点。本研究探讨了在多种属性刺激下3~5岁儿童基于重量和声音进行 因果推理的表现。结果发现：4岁和5岁儿童选择正确目标物的准确率显著高于3岁儿童；和同时使用声音与重量判断目标物相 比，儿童在单独使用重量或声音的情况下更容易区分目标物。总之，儿童因果推理能力发展的关键期在4岁并且当任务难度较高 的情况下其因果机制极易受到干扰。     

Bivariate log Birnbaum–Saunders distribution

Univariate Birnbaum–Saunders distribution has received a considerable amount of attention in recent years. Rieck and Nedelman (A log-linear model for the Birnbaum–Saunders distribution. Technometrics, 1991;33:51–60) introduced a log Birnbaum–Saunders distribution. The main aim of this paper is to introduce bivariate log Birnbaum–Saunders distribution. The proposed model is symmetric and it has five parameters. It can be obtained using Gaussian copula. Different properties can be obtained using copula structure. It is observed that the maximum likelihood estimators (MLEs) cannot be obtained explicitly. Two-dimensional profile likelihood approach may be adopted to compute the MLEs. We propose some alternative estimators also, which can be obtained quite conveniently. The analysis of one data set is performed for illustrative purposes. Finally, it is observed that this model can be used as a bivariate log-linear model, and its multivariate generalization is also quite straight forward.     

在绝望处寻找希望--论瓦尔特·本雅明的艺术发展观

瓦尔特·本雅明指出,由史诗分裂形成的三种文体———故事、小说、新闻消息等随着时代变迁,在艺术场的位置发生相应的变化。传统艺术灵韵消失,机械复制时代的电影等新艺术形式展示了全新的艺术功能。在《小说的危机》《讲故事的人》和《机械复制时代的艺术》等篇章中,本雅明深入探讨了从故事、小说到新闻、电影的艺术链条上展示出来的艺术形式演变以及艺术和技术的关系,进而提出了他的艺术发展观,即一时代必然有一时代之艺术。他强调,技术进步影响并改变了各种艺术形式、接受方式及其功能,现代技术在艺术变革中的潜能因而是绝对不可忽视的。     

基于ANSYS的热成形模具结构优化

基于冲压成型工艺试验分析系统,针对模具内材料受热膨胀将对模具导向装置及结构造成干涉的问题,利用有 限元分析软件ANSYS对模内温度场进行热力耦合分析,得出各部分材料的热膨胀程度。为基于正向压边模架的模内加 热装置提供可靠的实验参数和热力学设计依据,提高了模具结构设计的合理性,达到优化设计的目的。     

立式染色机典型缺陷及产生机理

针对承压印染设备在使用中缺陷较多、设备寿命普遍较短的问题,运用无损检测、理化分析配合有限元数值模拟 的方法,对一批较有代表性的立式染色机进行了全面检验,并将检验过程中发现的典型缺陷进行了总结和分析。根据对 快开门结构运行过程中的力学分析结果,从设备应力分布特性角度提出应力腐蚀失效易发部位,并综合设备的检验结果 进行比较,进而提出结构优化的建议。缺陷机理分析结果表明,在应力集中、疲劳载荷、腐蚀等因素的综合作用下,承压 印染设备极易产生裂纹等使用缺陷,应根据设备的使用情况和腐蚀现状调整检验周期,并针对缺陷易发部位进行定期全 面检验。     

Discriminant coordinates analysis for multivariate functional data

Abstract

One of the basic statistical methods of dimensionality reduction is analysis of discriminant coordinates given by Fisher (1936 Fisher, R. A. 1936. The use of multiple measurements in taxonomic problem. Annals of Eugenics 7 (2):179–88. doi:10.1111/j.1469-1809.1936.tb02137.x.[Crossref] , [Google Scholar]) and Rao (1948). The space of discriminant coordinates is a space convenient for presenting multidimensional data originating from multiple groups and for the use of various classification methods (methods of discriminant analysis). In the present paper, we adapt the classical discriminant coordinates analysis to multivariate functional data. The theory has been applied to analysis of textural properties of apples of six varieties, measured over a period of 180?days, stored in two types of refrigeration chamber.     

机械设计制造及其自动化专业人才培养模式的创新实践

在新的历史条件下,深化高等教育改革、提高专业人才培养质量,关键是必须改革和创新专业人才培养模式。围绕专业人才培养目标和基本要求,从制订专业人才培养方案、建立基于课程群的完整的人才培养课程体系、创新人才培养模式等方面,阐述了我校机械设计制造及其自动化专业进行综合改革的具体做法,这对其他高校相关专业的教学改革及人才培养,具有一定的启发。     

Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes

We propose a sparse coefficient estimation and automated model selection procedure for autoregressive processes with heavy-tailed innovations based on penalized conditional maximum likelihood. Under mild moment conditions on the innovation processes, the penalized conditional maximum likelihood estimator satisfies a strong consistency, O_P(N^?1/2) consistency, and the oracle properties, where N is the sample size. We have the freedom in choosing penalty functions based on the weak conditions on them. Two penalty functions, least absolute shrinkage and selection operator and smoothly clipped average deviation, are compared. The proposed method provides a distribution-based penalized inference to AR models, which is especially useful when the other estimation methods fail or under perform for AR processes with heavy-tailed innovations [Feigin, Resnick. Pitfalls of fitting autoregressive models for heavy-tailed time series. Extremes. 1999;1:391–422]. A simulation study confirms our theoretical results. At the end, we apply our method to a historical price data of the US Industrial Production Index for consumer goods, and obtain very promising results.     

浅谈笑话语言的修辞方式与修辞效果

笑话,顾名思义,是一种通过幽默的文字或图示来达到令人会心一笑或捧腹大笑效果的文学形式。而这种通俗的文学形式主要是借助各种修辞手段来呈现。研究笑话中的修辞格,有助于我们更好地有意识地把修辞格运用到笑话幽默的创作当中,从而为人们提供更丰富的精神娱乐。