英语学生学习观念研究

参照Horwitz的语言学习观念鉴定记录方法．对华南理工大学英语专业与非英语专业学生观念进行了调查和分析。结果表明：学生在语言学习过程中都具备这样或那样的学习观念；尽管所学专业各异，英语专业学生和非英语专业学生的英语学习观念却大致相同；学生的学习观念影响他们的学习态度、学习策略和学习成绩。并希望籍此调查为从事英语教学的教师们提供一些启示。

辨色能力缺陷者不能学习驾驶

编辑同志: 我学机动车驾驶心切,本末倒置,先到培训部交了培训费,然后接受适应性检测。结果发现我的辨色能力异常,被称为“色盲”。这一票否决了我学习机动车驾驶的资格。我的视力挺好的,怎么会色盲呢?平时我和平常人一样工作生活,为什么就不能当驾驶员呢?百思不得其解。

Machine learning molecular dynamics simulations of liquid methanol

As the simplest hydrogen-bonded alcohol,liquid methanol has attracted intensive experimental and theoretical interest.However,theoretical investigations on this system have primarily relied on empirical intermolecular force fields or ab initio molecular dynamics with semilocal density functionals.Inspired by recent studies on bulk water using increasingly accurate machine learning force fields,we report a new machine learning force field for liquid methanol with a hybrid functional revPBE0 plus dispersion correction.Molecular dynamics simulations on this machine learning force field are orders of magnitude faster than ab initio molecular dynamics simulations,yielding the radial distribution functions,selfdiffusion coefficients,and hydrogen bond network properties with very small statistical errors.The resulting structural and dynamical properties are compared well with the experimental data,demonstrating the superior accuracy of this machine learning force field.This work represents a successful step toward a first-principles description of this benchmark system and showcases the general applicability of the machine learning force field in studying liquid systems.

对多媒体教学的思考

随着多媒体技术在教学上的广泛应用,在其给我们教学带来诸多好处和便利的同时,也给我们在教法和学法上提出更深层次的思考和更高要求．本文讨论了多媒体教学能给我们带来的便利以及如何扬长避短．

Online object detection and recognition using motion information and local feature co-occurrence

An object learning and recognition system is implemented for humanoid robots to discover and memorize objects only by simple interactions with non-expert users. When the object is presented, the system makes use of the motion information over consecutive frames to extract object features and implements machine learning based on the bag of visual words approach. Instead of using a local feature descriptor only, the proposed system uses the co-occurring local features in order to increase feature discriminative power for both object model learning and inference stages. For different objects with different textures, a hybrid sampling strategy is considered. This hybrid approach minimizes the consumption of computation resources and helps achieving good performances demonstrated on a set of a dozen different daily objects.

Probe in college English teaching in Grade-C class

College English is not only an essential curriculum of language, but also is an extremely important curriculum of cultural in college education. As a result of various factors, there are individual differences in college students＇ English study. Therefore, to gradually improve all the students＇ English, graded teaching becomes the best choice. In this thesis, graded teaching will be studied from several respects. And I hope it can give some slight help to some of college teachers.

来自上海驾驶适应性检测站的消息

截止到11月11日,本市首批共有1216名学习机动车驾驶人员(含加考大客车人员)接受了驾驶适应性检测。合核率达90.6％。 据了解,接受检测的人员对适性检测的科学性、公正表示充分认可。有的人说:“通过仪器测试,计算机进行评估,人为因素的干扰少,比较客观公正。”有的人反映:“比医院认真,检查项目也全面。测试结果基本符合本人的生理和心理状况。”

大拇指仅缺一节,为何不能学驾驶

编辑同志: 我是个下岗工人,在重新选择职业时,我权衡再三决定学习机动车驾驶。因为这是一项技术性强,社会又大量需要的工种。谁知事与愿违,我因右大拇指缺了一节,适性检测站认为我不宜学习机动车驾驶。这小小的一节拇指,没有妨碍我的正常生活,自行车照样骑,家务活照样干,为什么不能学习机动车驾驶呢?

新的驾驶证管理办法(驾驶员考试办法)即将实施

公安部新近发布的《中华人民共和国机动车驾驶证管理办法》和《中华人民共和国机动车驾驶员考试办法》将于1996年9月1日起实行,由地(市)以上公安机关交通管理部门负责实施。届时,学习机动车驾驶和申领驾驶证及审验、换证等都将更加便捷。

接受驾驶适应性检测之前应该注意些什么

截止到12月底,本市学习机动车驾驶者,增考、超龄等驾驶员共有7319人接受了机动车驾驶适应性检测。据统计,合格率达到94.02％。这项工作运转正常,但还需要广大受检人员作进一步的配合。 根据观察,在检测不合格人员中。

Dynamic model for predicting nitrogen oxide concentration at outlet of selective catalytic reduction denitrification system based on kernel extreme learning machine

To solve the increasing model complexity due to several input variables and large correlations under variable load conditions,a dynamic modeling method combining a kernel extreme learning machine(KELM)and principal component analysis(PCA)was proposed and applied to the prediction of nitrogen oxide(NO_(x))concentration at the outlet of a selective catalytic reduction(SCR)denitrification system.First,PCA is applied to the feature information extraction of input data,and the current and previous sequence values of the extracted information are used as the inputs of the KELM model to reflect the dynamic characteristics of the NO_(x)concentration at the SCR outlet.Then,the model takes the historical data of the NO_(x)concentration at the SCR outlet as the model input to improve its accuracy.Finally,an optimization algorithm is used to determine the optimal parameters of the model.Compared with the Gaussian process regression,long short-term memory,and convolutional neural network models,the prediction errors are reduced by approximately 78.4%,67.6%,and 59.3%,respectively.The results indicate that the proposed dynamic model structure is reliable and can accurately predict NO_(x)concentrations at the outlet of the SCR system.

A model to facilitate transformative learning in nursing education

Objective:Transformative learning is a learner-centered process of learning.Learners are actively engaged through critical reflection and discourse to question assumptions and expectations.The purpose of this article is to describe a model to facilitate transformative learning in nursing education.Methods:A qualitative,exploratory,descriptive and contextual design for theory generation was selected in this study to describe a model to facilitate transformative learning in nursing education.Concept analysis of transformative learning was done in the first stage of the main study using Walker and Avant's eight step approach to clarify the conceptual identification and meaning.The results of concept analysis guided data collection in the second stage.Eleven individual agenda semi-structured interviews were conducted with nurse educators to explore and describe their perceptions regarding how transformative learning can be facilitated in nursing education.Matrix building approach was used to analyse the collected data.The third stage constituted the conceptualisation of findings from the second stage using relevant literature within the elements of practice theory.The fourth stage focused on the description and evaluation of a model to facilitate transformative learning in nursing education.Findings:Four themes and nine sub-themes emerged and were conceptualised within the six elements of practice theory namely the context,agent,recipient,dynamic,process and procedure and outcome.Conclusion:The relation statements provided the basis for model description.Reliable method was used to describe and evaluate the model.The refinement of the model by experts in model development andqualitative research was made.

Impact of an active educational video game on children's motivation,science knowledge, and physical activity

Background： Active educational video games （AVGs） appear to have a positive effect on elementary school students＇ motivation leading to enhanced learning outcomes. The purpose of this study was to identify the effectiveness of an AVG on elementary school students＇ science knowledge learning, physical activity （PA） level, and interest-based motivation. Methods： In this randomized controlled study, 53 elementary school students were assigned to an experimental condition or a comparison condition. The experimental condition provided an AVG learning environment, whereas the comparison condition was based on sedentary educational video games. Results： The results of repeated measures analysis of variance （ANOVA） on the knowledge test showed that students in both groups performed better on the post-test than they did on the pre-test （p 〈 0.001, η2 = 0.486）, and their post-test scores did not differ significantly. The experimental condition provided a more active environment since the students＇ average heart rates （HRs） were in the Target-Heart-Rate-Zone （HR = 134 bpm）, which was significantly higher than the average HR （103 bpm） from the comparison condition （t = 7.212, p 〈 0.001）. Students in the experimental condition perceived a higher level of situational interest than their counterparts in the comparison group （p 〈 0.01, and η2 = 0.301）. Conclusion： These results suggest that AVGs benefit children more in terms of PA and motivation than traditional video games by providing an enjoyable learning experience and sufficient PA.

Using Mixed Methods to Investigate the Relationship Between Student Motivation and Academic Achievement From Socio-Cultural Perspective

Language learning is a complex process for many reasons. First, it is closely related to linguistics. Second, language is social as it occurs within certain social contexts. And finally, it is individual. Personal characteristics such as experience, gender and age, attitude and aptitude, motivation, beliefs, self-confidence, and anxiety greatly influence language learning. Among these variables, motivation is considered to be one of the most important factors affecting the success of second or foreign language learning. However, the relationship between motivation and educational achievement is not quite clear. In the current literature, motivation is regarded as socially constructed, therefore as dynamic rather than static. Little research has been conducted on the motivation of Vietnamese students studying English as a compulsory curriculum component rather than as a major from a socio-cultural perspective. Understanding the relationship between student motivation and academic achievement as well as the socio-cultural factors that affect students＇ motivation will be an important contribution to motivation theory. Therefore, the situation requires longitudinal and in-depth research into student motivation, the factors affecting it during the learning process, and the relationship between student motivation and academic achievement. A mixed method approach has been chosen to meet the needs of the study. It is believed that insights in these areas will help address the issue of motivation at the Police University.

Mediators of Parental Status （Single or Both Parenting） and Academic Performance of Primary School Pupils in Ghana

This multivariate study investigated whether Parental Support, Teacher Support, and Academic Motivation mediate the relationship between Parental Status （i.e., children from single or both parents homes） and Academic Performance, The research design used for the study was a cross sectional survey using the quantitative approach. Data set from 250 primary school pupils from the Effutu Municipality were analysed using partial correlation and multiple regression analytical techniques. Among the study findings, that were when the effects of Parental Status were controlled for, Parental Support, Teacher Support, and Academic Motivation still related significantly to Academic Performance. Among the conclusions of the findings are that, whether the child was from a single or both parent home was not important with regard to his or her academic performance but rather it was the quality of support that the child gets from whoever is doing the parenting, teacher support and the child＇s own academic motivation that were important to determine the child＇s Academic Performance. The study also found that Parental Support was the best predictor of the pupils＇ Academic Performance out of the three factors includingTeacher Support and Academic Motivation.

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.

Data-driven based four examinations in TCM:a survey

Traditional Chinese medicine(TCM)diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience.Its thinking mode in the process is different from that of modern medicine,which includes the essence of TCM theory.From the perspective of clinical application,the four diagnostic methods of TCM,including inspection,auscultation and olfaction,inquiry,and palpation,have been widely accepted by TCM practitioners worldwide.With the rise of artificial intelligence(AI)over the past decades,AI based TCM diagnosis has also grown rapidly,marked by the emerging of a large number of data-driven deep learning models.In this paper,our aim is to simply but systematically review the development of the data-driven technologies applied to the four diagnostic approaches,i.e.the four examinations,in TCM,including data sets,digital signal acquisition devices,and learning based computational algorithms,to better analyze the development of AI-based TCM diagnosis,and provide references for new research and its applications in TCM settings in the future.

On techniques of sustaining and promoting learners＇ motivation in TEFL

This paper will discuss the question about how to sustain and promote learners＇ motivation in TEFL. A framework is proposed, which provides some suggestions to English teacher about how they could do better and what they should pay more attention to. This paper is indicated in the following five parts.

Motivation and language learning in the context of China

With the development of economic globalization and China＇s entry into the WTO, English is becoming more important than ever. In China, English is learnt as a second language and has long become the compulsory subject in school. However, many Chinese students don＇t like to learn English and even feel headache in seeing English textbooks. Why English language learning is so painful for them？ This paper focuses on the discussion of factors that affect language learning in the context of China and comes to a conclusion that motivation is the most important factor in language learning. Teachers should try every means to better initiate students＇ motivation and bring their motivation to a full range in the classroom of language.

Effects of Study-Abroad Experiences on Chinese Students’ L2 Learning Activities and Study-Abroad Motivations

This study explores how overseas exchange opportunities might influence Chinese students ’engagement in L2 learning activities and how far such opportunities may satisfy their motivation to study abroad. The analysis of the data, collected and filtered from carefully designed questionnaires and interviews, showed that students ’ L2 learning activities and study-abroad motivations underwent changes after their overseas experiences. Regarding the former, the overseas environment was the cause of the change because it provided students with more chances to talk with native speakers and increased the frequency of their using L2 in their daily life. Regarding the latter, the decline of the students ’ major study-abroad motivations was partly because they tended to treat L2 learning as a tool for realizing other goals and partly because the students had got other important motivations. In view of these findings, suggestions were raised to help future students get better prepared for their overseas study or short-term exchange life.