元初诗坛的所谓“时文故习”

诗歌创作中的所谓“时文故习”或“时文习气”,是元初诗坛一个重要的、值得关注的现象。该论文就何者为时文,何者为“时文故习”或“时文习气”进行了比较系统的梳理;就“时文故习”或“时文习气”对于诗歌创作和诗学理论、诗法理论的渗透和影响进行了比较深入和细致的分析,认为“时文故习”或“时文习气”对于诗学理论、诗法理论的影响是多方面的,而更主要的是体现在诗歌创作模式和篇章结构的起承转合的方面,这样的影响一直延续到明清时期,其中科举制度的作用是决定性的。

A multi-scale convolutional auto-encoder and its application in fault diagnosis of rolling bearings

Aiming at the difficulty of fault identification caused by manual extraction of fault features of rotating machinery,a one-dimensional multi-scale convolutional auto-encoder fault diagnosis model is proposed,based on the standard convolutional auto-encoder.In this model,the parallel convolutional and deconvolutional kernels of different scales are used to extract the features from the input signal and reconstruct the input signal;then the feature map extracted by multi-scale convolutional kernels is used as the input of the classifier;and finally the parameters of the whole model are fine-tuned using labeled data.Experiments on one set of simulation fault data and two sets of rolling bearing fault data are conducted to validate the proposed method.The results show that the model can achieve 99.75%,99.3%and 100%diagnostic accuracy,respectively.In addition,the diagnostic accuracy and reconstruction error of the one-dimensional multi-scale convolutional auto-encoder are compared with traditional machine learning,convolutional neural networks and a traditional convolutional auto-encoder.The final results show that the proposed model has a better recognition effect for rolling bearing fault data.

Multi-view feature fusion for rolling bearing fault diagnosis using random forest and autoencoder

To improve the accuracy and robustness of rolling bearing fault diagnosis under complex conditions, a novel method based on multi-view feature fusion is proposed. Firstly, multi-view features from perspectives of the time domain, frequency domain and time-frequency domain are extracted through the Fourier transform, Hilbert transform and empirical mode decomposition (EMD).Then, the random forest model (RF) is applied to select features which are highly correlated with the bearing operating state. Subsequently, the selected features are fused via the autoencoder (AE) to further reduce the redundancy. Finally, the effectiveness of the fused features is evaluated by the support vector machine (SVM). The experimental results indicate that the proposed method based on the multi-view feature fusion can effectively reflect the difference in the state of the rolling bearing, and improve the accuracy of fault diagnosis.

Misfire identification of automobile engines based on wavelet packet and extreme learning machine

Due to non-stationary characteristics of the vibration signal acquired from cylinder head,a misfire fault diagnosis system of automobile engines based on correlation coefficient gained by wavelet packet and extreme learning machine(ELM)is proposed.Firstly,the original signal is decomposed by wavelet packet,and correlation coefficients between the reconstructed signal of each sub-band and the original signal as well as the energy entropy of each sample are obtained.Then,the eigenvectors established by the correlation coefficients method and the energy entropy method fused with kurtosis are inputted to the four kinds of classifiers including BP neural network,KNN classifier,support vector machine and ELM respectively for training and testing.Experimental results show that the method proposed in this paper can effectively reflect the differences that the fault produces and identify the single-cylinder misfire accurately,which has the advantages of higher accuracy and shorter training time.

Comparative Study between Waffle and Solid Slab Systems in Terms of Economy and Seismic Performance of a Typical 14-Story RC Building

In order to maximize the return of investments and at the same time improve the quality in the construction industry of midrise buildings, it is very important to derive an optimal solution to the building structural system, which would facilitate faster and easier construction activities with minimal quantity of construction material, while maintaining the satisfactory level of building safety and performance. This paper makes a comparative study between a ＂solid＂ and a ＂waffle＂ slab system. A typical 14-story RC building structure is selected as an example for this study purpose. The first part of this study is focused in deriving an optimal solution for a solid and waffle slab system which are later on considered as constituents of all stories of the 14-story building. In the second part, it is elaborated the effect of both slab systems over the 14-story building model. This study aims to emphasize the advantages of mid-rise buildings constituted of waffle slab system over the buildings characterized with solid types of slabs, in terms of economy, structural safety and performance.

The Melodramatic Narrative and Ontological Quest in Demetria Martinez＇s Mother Tongue

The study deals with Demetria Martinez＇s Mother Tongue （1994）, which is a love story between a Mexican American woman and a Salvadoran refugee. The female protagonist, Mary, delves into connotations of love, expanding it to understanding of the other. The story deploys politically imbricated religious practices in relation to the U.S. Sanctuary movement in the 80s. Mary＇s amorous encounter with the other leads her to discover the expansion of friendship and solidarity and, ultimately to rediscover religiosity based on reawakened ethics. This study argues that the melodramatic mode employed in this novel implicitly reveals an inherent aspiration for the sacred, albeit not fully representable. The author＇s involvement in the genre of romance and the melodramatic mode ironically attests to her striving for the spiritual ideal and ontological answer. In the end, this essay reveals that drawing on the popular melodramatic narrative, the romantic engagement with the alterity can be more efficiently introduced into the ontological quest for the absolute presence.

Reflection--The Story of Water

Starting from the fact that water is quite arguably the source of life, the authors agreed to set up a project on water and name it： ＂REFLECTION＂. Particular focus was placed on the following issues： water in nature, importance of water in human life, physical and chemical properties of water, protection of water in nature. The aim of the project was to make students aware of the importance of water for health as well as to help them develop a rational relationship towards drinking water. In order to find answers to the issues raised, the authors designed worksheets, PowerPoint presentations, educational games （ecological postcards, dominoes, memory games, etc.）. The authors even tried our hand at making a comic strip. Students learned about the influence of water on health, as well as about water content in particular foods. The long-term goal of the project is to introduce children to scientific approach and methodology. Through active participation and dialogue, students discover cooperative learning and acquire skills that will be beneficial to them as well as to the wider community. Working on the project, students＇ evidence that the role of an individual is a key one in building a better world. This insight helps develop their civic skills and attitudes that serve as the starting point for environmental education. The authors made numerous adaptations and implemented individual approach with the goal of training students for independent work and life according to their personal abilities in line with the principles of inclusive education. Students conduct experiments following step-by-step instructions on specially adapted worksheets. Each student gets positive feedback and experiences the joy of success that leads to the development of self-confidence and love of work and learning.

Application of Transfer Learningin Mechanical Equipment Intelligent Diagnosis:Literature Review

Accelerating the process of intelligent manufacturing and the demand for new industrial productivity,the operating conditions of machinery and equipment have become ever more severe.As an important link to ensure the stable operation of the production process,the condition monitoring and fault diagnosis of equipment have become equally important.The fault diagnosis of equipment in actual production is often challenged by variable working conditions,large differences in data distribution,and lack of labeled samples,etc.Traditional fault diagnosis methods are often difficult to achieve ideal results in these complex environments.Transfer learning(TL)as an emerging technology can effectively utilize existing knowledge and data to improve the diagnostic performance.Firstly,this paper analyzes the trend of mechanical equipment fault diagnosis and explains the basic concept of TL.Then TL based on parameters,TL based on features,TL based on instances and domain adaptive(DA)methods are summarized and analyzed in terms of existing TL methods.Finally,the problems faced in the current TL research are summarized and the future development trend is pointed out.This review aims to help researchers in related fields understand the latest progress of TL and promote the application and development of TL in mechanical equipment diagnosis.

举业与作诗——元初停止科举与江南作诗热的勃兴

一、引言元代著名文人欧阳玄(1273-1358)曾在《李宏谟诗序》中说:宋迄,科举废,士多学诗。而前五十年所传士大夫诗,多未脱时文故习。圣元科诏颁,士亦未尝废诗学,而诗皆趋于雅正。旧谓举子诗易似时文,正未然也。(《圭斋文集》卷八,四部丛刊初编).

Lost and Found： Storytelling in Language Counseling

This article explores the potential of the narrative educational processes of autobiographical writing and interactive storytelling for foreign language education. In our Autonomous Learning Modules （ALMS） at Helsinki University Language Centre, students write various autobiographical texts as part of their language portfolios. The texts are discussed in the face-to-face counseling meetings. Finnish students＇ learner identities are influenced by the competitive role of English in Finland： mastering English is a must, and not mastering English can single them out as failures. This is especially true of self-identified ＂different＂ learners whose previous language learning experiences and classroom situations have caused them anxiety. In ALMS, counselors engage them in sharing stories about past learning experiences as a way of supporting them in planning their personal study programs. Storytelling also helps them to explore their ＂wounded＂ learner identities by creating safe spaces for reflexive self- study. The practice and research of such storytelling are explored in the article.

Traumatic posterior hip dislocation in a 16-month-old child： a case report and review of literature

Traumatic posterior hip dislocation is an uncommon injury in children, constituting less than 5% of paediatric dislocations. In a younger child （〈5 years）, minor trauma such as a slip or fall from a low height may cause a hip dislocation, whereas in an adolescent a dislocation is usually caused by a major trauma such as motor vehicle accident. In this case report we present a rare case of trau- matic hip dislocation in a 16-month-old girl. Early detectionand closed reduction ensured good outcome in our case. A high index of suspicion is necessary to achieve satisfactory reduction within six hours of dislocation because reduction after this period will greatly increase the risk of complications.