Cultural Background Knowledge and English Teaching

Culture background knowledge in English teaching arose in eighties of the twentieth century. It has been closely linked with the reformation and open in China. With the increase of exchange between China and English speaking countries resulting from the reform and opening policy to the outside world, people have come to find that due to the lack of profound knowledge of the culture of the English speaking, "cultural shock"or "cultural conflict" often arises when Chinese people communicate with Westerners, which leads to the realization that the pure-linguistic centered English teaching form cannot meet the demands of the social development any longer. Culture teaching must be introduced into English teaching in order to learn English language well and communicate well.This essay explains the importance of the cultural background knowledge teaching through analyzing the relationship of the language and culture as well as communicating barrier caused by the cultural differences, and it also submits falsifiable suggestions about how to introduce background knowledge into English teaching.

BACKGROUND KNOWLEDGE AND SECONDARY KNOWLEDGE BASES IN LEARNINGS YSTEMS

This paper presents the differences and relations between background knowledge and domain theories in learning systems. The roles they play during learning procedures are discussed. It is emphasized that background knowledge plays an important role in enhancing the ability of a learning system. An explanation based learning system with domain theory in primary knowledge base and background knowledge in secondary knowledge base is introduced as an example. It shows how background knowledge can be used to solve some of the problems caused by incomplete domain theory in an explanation based learning system. The system can accomplish knowledge level learning through purely deductive approach. At last the acquisition of background knowledge is briefly discussed.

The Significance of Background Knowledge on Students' English Listening Comprehension

The background knowledge has the stimulating function in English listening comprehension; it can reduce the psychological pressure before listening, strengthen the confidence and enhance the predictive ability. Therefore, the paper mainly discusses the importance and influences of linguistic background knowledge and non-linguistic background knowledge in listening comprehension. The author also gives some suggestions on teaching English listening according to the analysis of significances of background knowledge in the paper.

The Significance of the Background Knowledge in the Teaching Process of College English:Take Visiting the Gateway Arch as Example

The paper put emphasis on the significance of the background knowledge of college English.Taking into consideration the particularity of vocational technical students,the teacher should enrich themselves first and then meet their need.There are many ways to promote the quality of students in English class,one of which is to fire them with the vivid introduction of background knowledge.

Cross-sectional study of the educational background and trauma knowledge of trainees in the “China trauma care training” program

Background:Since the trauma knowledge of trauma providers correlates with the outcomes of injured patients,this study aims to assess the socio-demographic characteristics and levels of trauma knowledge of trainees in the China trauma care training(CTCT)program in addition to their post-course test results to provide support for the development of trauma care training programs and trauma systems in China.Methods:A cross-sectional study was conducted by collecting demographic information,hospital-related information and trauma knowledge of the trainees from 19 regions in China.All participants were assessed by questionnaires collecting the socio-demographic data,the trauma care knowledge levels and the information of the hospitals.Results:There were 955 males(78.9%)and 256 females(21.1%)enrolled.Among them,854 were physicians(70.5%),357 were registered nurses(29.5%).In addition,64 of them also played an administrative role in the hospitals(5.3%).The score of the trainees who were members of the emergency department staff(72.59±14.13)was the highest among the scores of all the personnel surveyed,followed by those of the trainees from the intensive care unit(ICU)(71.17±12.72),trauma surgery department(67.26±13.81),orthopedics department(70.36±14.48),general surgery department(69.91±14.79)and other departments(69.93±16.91),P=0.031.The score of the professors(73.09±15.05)was higher than those of the associate professors(72.40±14.71),lecturers(70.07±14.25)and teaching assistants(67.58±15.16),P<0.0001.The score of the individuals who attended experts’trauma lectures(72.22±14.45)was higher than that of individuals who did not attend the lectures(69.33±15.17),P=0.001.The mean scores before and after the training were 71.02±14.82 and 84.24±13.77,respectively,P<0.001.The mean score of trauma knowledge after the training of trainees from different provinces and with different educational backgrounds was higher than that before the training,with a statistically significant difference(P<0.05).Conclusions:The level of trauma knowledge of trauma care providers was associated with their department,professional position and previous participation in related academic conferences.Trauma care experience and participation in academic lectures and training program including CTCT may effectively improve individuals’level of trauma knowledge.

Attribute reduction based on background knowledge and its application in classification of astronomical spectra data

To improve the efficiency of the attribute reduction, we present an attribute reduction algorithm based on background knowledge and information entropy by making use of background knowledge from research fields. Under the condition of known background knowledge, the algorithm can not only greatly improve the efficiency of attribute reduction, but also avoid the defection of information entropy partial to attribute with much value. The experimental result verifies that the algorithm is effective. In the end, the algorithm produces better results when applied in the classification of the star spectra data.

The Effect of Background Knowledge On Chinese EFL Learners' Reading

With lots of researches concerning reading, the effect of background knowledge on L2 reading comprehension has been in the spotlight. This research aims at finding out the role of background knowledge on reading when Chinese EFL readers have certain linguistic proficiency. A group of advanced freshmen of Shandong Agricultural University takes part in the research. The results speak loud for our present situation in China's EFL teaching: advocation of culture teaching.

Strategic Exploration on the Popularization of Sexual Science Knowledge among Normal Students under the Opening-Up Background

Through the development of interdisciplinary public elective courses of sexuality in the whole school, systematic education of sexology knowledge is carried out for normal students, so that normal students can understand the sexual knowledge of male and female students, such as reproductive structure, function, reproductive health care, sex and sexual psychology, so as to reduce the premarital sexual behavior of normal students, avoid premarital pregnancy, reduce the incidence of reproductive tract infection and sexually transmitted diseases, improve the ability of self-protection of normal students, cultivate good sexual psychology of normal students, and promote the physical and mental health of normal students.

The Effect of Background Knowledge on EFL Learners＇ Reading Comprehension

Schema is known to play an important role in reading comprehension. The schema embodying the learners background knowledge of cultural familiar materials facilitates the understanding of the text （Pritchard, 1990）. Also Steffensen, Joag-Dev, and Anderson （1979） and Nelson （1987） proposed that the schemata embodying background knowledge influenced how well the text would be comprehended. However, Hudson （1982） and Carrell （1984） found there was no significant background effect in advanced level learners. From those studies, it seems that background effect is different at different language proficiency levels. Thus, the present study examines the interaction between background knowledge and language proficiency in reading comprehension. The participants were freshmen of National Chiayi University. They were divided into three language proficiency levels based on the General English Proficiency Test. Four reading comprehension tests were constructed to assess their reading comprehension： cultural familiar/unfamiliar text and topic familiar/unfamiliar text. The results of this study showed that participants had better performance on the culture/topic familiar text than the culture/topic unfamiliar text. Thus the findings suggest that the teacher can use teaching activities, such as pre-reading activities or vocabulary teaching to increase the background knowledge when teaching readings to EFL （English as a foreign language） learners

Research on the New English Language Teaching Approach based on Sharing of the Knowledge Economy under the MOOCs Background

In this paper, we conduct research on the new English language teaching approach based on sharing of the knowledge economy under the MOOC background. College English teaching is the core part of education in colleges and universities that are leading an indicator of college teaching can reveal most times the imprinting to teaching in colleges and universities. College English teaching from scratch, since the childhood, beyond the difficulty of the teaching area, through the teaching of confusion, but always insist on teaching idea of development as the center, continuously innovative fusion of gesture to the new development of English teaching to maximize the realization of the value of English teaching and cultivate highly qualified English talents for the society. Our research uses the MOOC platform to optimize the traditional education pattern which is innovative.

The Importance of Cultural Background Knowledge in College English Teaching

In recent years,with the development of reform and open policy as well as the frequent foreign exchange,especially the enhancement of social informalization and the widespread of Internet,more and more people are involved in Intercultural communication.Change and requirement of the new age make more and more English teachers,especially the college English teachers,come to realize the important role of culture in English teaching.College English teaching should not merely limit in the language teaching and cultivating students' intercultural communication competence is more important.To know the cultural background knowledge is a significant aspect of cross-cultural communication and also an important aim of college English teaching.It requires college English teachers put cultural education on a significant position and combine the language teaching and culture teaching together,so as to cultivate students' language competence in intercultural communication.

基于ISI Web of Knowledge平台的中国纺织背景高校科研竞争力的计量评价研究

基于ISI Web of Knowledge平台,对8所纺织背景高校在2001—2011年间的科技论文进行了多角度的统计和分析,探讨了8所纺织背景高校近年来的学科发展现状和趋势,客观评价其学科研究特点和学术影响力,为纺织背景高校增强自身自然科学基础研究提供参考和帮助,并为其进一步发展提供可参考的定量依据.

Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery

AIM To develop a framework to incorporate background domain knowledge into classification rule learning for knowledge discovery in biomedicine.METHODS Bayesian rule learning(BRL) is a rule-based classifier that uses a greedy best-first search over a space of Bayesian belief-networks(BN) to find the optimal BN to explain the input dataset, and then infers classification rules from this BN. BRL uses a Bayesian score to evaluate the quality of BNs. In this paper, we extended the Bayesian score to include informative structure priors, which encodes our prior domain knowledge about the dataset. We call this extension of BRL as BRL_p. The structure prior has a λ hyperparameter that allows the user to tune the degree of incorporation of the prior knowledge in the model learning process. We studied the effect of λ on model learning using a simulated dataset and a real-world lung cancer prognostic biomarker dataset, by measuring the degree of incorporation of our specified prior knowledge. We also monitored its effect on the model predictive performance. Finally, we compared BRL_p to other stateof-the-art classifiers commonly used in biomedicine.RESULTS We evaluated the degree of incorporation of prior knowledge into BRL_p, with simulated data by measuring the Graph Edit Distance between the true datagenerating model and the model learned by BRL_p. We specified the true model using informative structurepriors. We observed that by increasing the value of λ we were able to increase the influence of the specified structure priors on model learning. A large value of λ of BRL_p caused it to return the true model. This also led to a gain in predictive performance measured by area under the receiver operator characteristic curve(AUC). We then obtained a publicly available real-world lung cancer prognostic biomarker dataset and specified a known biomarker from literature [the epidermal growth factor receptor(EGFR) gene]. We again observed that larger values of λ led to an increased incorporation of EGFR into the final BRL_p model. This relevant background knowledge also led to a gain in AUC.CONCLUSION BRL_p enables tunable structure priors to be incorporated during Bayesian classification rule learning that integrates data and knowledge as demonstrated using lung cancer biomarker data.

On Constructing the Cognitive Model of Knowledge Acquisition in Globalization-Oriented Study

This paper which is directed to constructing the cognitive model of knowledge acquisition in view of the increasing need of globalization-oriented study, points out features of globalization-oriented study, and proposes the importance and necessity for constructing the CMKAGS （cognitive model of knowledge acquisition in globalization-oriented study） which includes attention, background knowledge, and chunking memory that involves semantic chunking, information encoding as well as choice of information encoding. The cognitive model of knowledge acquisition in question aims at helping e-learners to memorize their learned knowledge and improve their studies effectively and efficiently, whether they study in enhanced conditions or in natural conditions

产学研合作、知识吸收能力与企业创新绩效——高管学术背景与政府创新补贴的调节作用

在梳理产学研合作与企业创新绩效关系研究的基础上,结合交易成本理论、资源基础理论以及高层梯队理论,以2010-2021年中国A股上市公司为研究样本,探讨产学研合作对企业创新绩效的促进作用及机制,并将高管学术背景和政府创新补贴作为调节变量纳入研究框架。实证分析发现:产学研合作对企业创新绩效发挥显著促进作用;当企业具有学术背景的高管比例较高时,这一效应更加显著;高水平政府创新补贴同样能够增强这一效应。中介效应检验发现,企业参与产学研合作对其知识吸收能力具有显著促进作用,同时,企业可以通过提升知识吸收能力,增强自身对环境变化感知的敏锐性与自主创新能力,进而提高创新绩效。

THE ROLE OF BACKGROUND KNOWLEDGE IN READING TEACHING

For a long time, it has been thought that any reader can comprehend a text well if such factors asvocabulary and grammar are not beyond his knowledge. However, the reading effect seems unsatisfying,which poses a great challenge for reading teaching. In this paper, the author explores the reading process andapplies the Schema Theory, in order to prove the important role of background knowledge in readingcomprehension. Based on this discussion, suggested teaching methods are available for employing backgroundknowledge in reading teaching.

行业协会嵌入对企业数字化转型的影响研究

选取2007~2021年A股上市制造企业为研究样本,考察行业协会嵌入对企业破解数字化转型困局所发挥的作用。研究发现:行业协会嵌入通过资源赋能与合法性感知机制促进了企业数字化转型;高管团队数字知识与职能背景异质性通过资源赋能路径、行业数字化水平与地区市场化程度通过合法性感知路径共同强化了上述关系。进一步研究发现,行业协会嵌入通过降低融资约束、提高吸收能力与降低经济政策不确定性感知3条路径推动企业数字化转型;且这一影响效应在民营企业、无政治关联企业和小规模企业中更为明显。

基于知识蒸馏和轻量级卷积神经网络的植物病害识别方法

[目的]针对现有植物病害识别模型参数大、田间复杂背景下识别准确率低的问题,提出一种基于改进ShuffleNetV2的轻量化植物病害识别模型LWCR-Net(lightweight crop recognition network)。[方法]在基本特征提取模块中引入残差连接,解决梯度消失问题,使模型能够学习更复杂的特征表示;引入CBAM(convolutional block attention module)注意力机制模块,以增强特征提取和模型利用能力;采用DenseNet121作为教师模型,LWCR-Net作为学生模型,利用知识蒸馏策略对模型进行训练,以进一步提升模型性能。[结果]轻量化植物病害识别模型LWCR-Net大小为2.44 MB;F 1值和准确率分别为95.49%和96.16%,较原模型提高4.89%和3.96%。与DenseNet121、ResNet34、MobileNetV3等其他经典网络对比,LWCR-Net模型不仅达到较高的识别准确率,而且模型参数量较少。[结论]LWCR-Net模型能够实现在田间复杂背景下对植物病害的准确识别,且模型所需内存较小,方便部署到移动端,为植物病害智能诊断提供参考。