对外传播视域下大学生中国文化英语表达能力调查与提升策略研究     

焦子琪  刘小杏  武晓涵 《中国教育技术装备》2020,(4):65-67

讲好中国故事、传播好中国文化是当代大学生肩负的重要使命,然而目前多数大学生在跨文化交流中还难以用英语表述中国文化。通过对河北省三市八所高校大学生的中国文化英语表达能力进行调查和测试,明确并分析大学生跨文化交际中传播中国文化的现存问题和原因,然后从文化自信的视角和学生主体出发,提出提升大学生对外文化传播能力的有效策略。  相似文献   

提高小学数学学困生成绩点滴谈     

魏敦姬 《教育教学论坛》2020,(3):315-316

通过“心与心的交流和方法与方式的优化”两个方面来阐述如何轻松、愉快、有效、合理地提高小学数学学困生的教学质量。  相似文献   

Modelling Quoting in Newswriting: A Framework for Studies on the Production of News     

Lauri Haapanen 《Journalism Practice》2020,14(3):374-394

ABSTRACT

The Mediated Social Communication (MSC) approach considers mass media a venue for opposing and complementary societal groups to publicly negotiate socially relevant topics. This negotiation is conducted through representatives of these groups and mediated by journalists. Inspired by the MSC approach, this paper presents an empirically grounded model that structures the mediating process through the process of quoting. By identifying the key phases of newswriting as sub-processes of quoting, the paper argues that journalists (1) decide on a topical issue to be addressed (topicalisation), (2) identify groups of people who are linked to this issue (societal localisation), (3) pick some people as representatives of these societal groups (personalisation), and (4) verbalise these people's points of view, often by means of quoting, inter alia (verbalisation). The four-phase model is then operationalised into a data collection method that facilitates access to and fosters new insights into the subtle dynamics of newswriting. Hitherto, these dynamics have often remained obscure, because the craft ethos is adopted as tacit knowledge through implicit socialisation and is therefore difficult for journalists to verbalise. The paper concludes by calling for reconsideration of journalists’ role as gatekeepers who decide which issues and voices are heard in public discourse.  相似文献   

Questioner or question: Predicting the response rate in social question and answering on Sina Weibo     

Bernard J. Jansen 《Information processing & management》2018,54(2):159-174

With the noted popularity of social networking sites, people increasingly rely on these social networks to address their information needs. Although social question and answering is potentially an important venue seeking information online, it, unfortunately, suffers from a problem of low response rate, with the majority of questions receiving no response. To understand why the response rate of social question and answering is low and hopefully to increase it in the future, this research analyzes extrinsic factors that may influence the response probability of questions posted on Sina Weibo. We propose 17 influential factors from 2 different perspectives: the content of the question, and the characteristics of the questioner. We also train a prediction model to forecast a question's likelihood of being responded based on the proposed features We test our predictive model on more than 60,000 real-world questions posted on Weibo, which generate more than 600,000 responses. Findings show that a Weibo's question answerability is primarily contingent on the questioner versus the question. Our findings indicate that using appreciation emojis can increase a question's response probability, whereas the use of hashtags negatively influences the chances of receiving answers. Our contribution is in providing insights for the design and development of future social question and answering tools, as well as for enhancing social network users’ collaboration in supporting social information seeking activities.  相似文献   

全球媒体语境下广州城市形象的传播与建构     

王大可  李本乾 《中国名城》2020,(5):93-98

城市形象是城市竞争力的重要组成部分。依托全球媒体有关广州的报道,对广州城市形象的全球媒体影响力开展实证分析,并从强化政府主导、畅通参与渠道;融入国家战略、提升传播层级;推进科技创新、塑造崭新形象;发展数字产业、夯实传播基础;布局未来传播、增强舆论引导等方面构建提出了增强广州城市形象全球传播能力的对策建议。  相似文献   

The relationship between behavioural integrity,competence, goodwill,trustworthiness, and motivating language of a principal     

William T. Holmes  Michele A. Parker 《School Leadership & Management》2018,38(4):435-456

Utilising the oral language of a principal leading an inner-city at-risk elementary school in a large urban school district in the southwestern USA, the researchers tested behavioural integrity and the dimensions of source credibility (competence, goodwill, and trustworthiness) as antecedents to Motivating Language Theory and the ML Model. Teacher perception data at the Title I elementary school was used for this quantitative study. Over 95% of the teachers responded to a survey each year for a three-year period. Each year, there were statistically significant correlations between each of the antecedents and motivating language. The antecedents accounted for 66–75% of the total variance for motivating language depending on the year based on regression analysis. The results of this study extend the field of Motivating Language Theory and the ML Model, and further explain how the work of principals is accomplished.  相似文献   

Ancient Mural Classification Method Based on Improved AlexNet Network     

Jianfang Cao  Hongyan Cui  Qi Zhang  Zibang Zhang 《文物保护研究》2020,65(7):411-423

ABSTRACT

As an important part of art and culture, ancient murals depict a variety of different artistic images, and these individual images have important research value. For research purposes, it is often important to first determine the type of objects represented in a painting. However, the mural painting environment makes datasets difficult to collect, and long-term exposure leads to underlying features that are not distinct, which makes this task challenging. This study proposes a convolutional neural network model based on the classic AlexNet network model and combines it with feature fusion to automatically classify ancient mural images. Due to the lack of large-scale mural datasets, the model first expands the dataset by applying image enhancement algorithms such as scaling, brightness conversion, noise addition, and flipping; then, it extracts the underlying features (such as fresco edges) shared by the first stage of a dual channel structure. Subsequently, a second-stage deep abstraction is conducted on the features extracted by the first stage using a two-channel network, each of which has a different structure. The obtained characteristics from both channels are merged, and a loss function is constructed to obtain the classification result. This approach improves the model's robustness and feature expression ability. The model achieves an accuracy of 84.24%, a recall rate of 84.15%, and an F1-measure of 84.13% when applied to a constructed mural image dataset. Compared with the AlexNet model and other improved convolutional neural network models, the proposed model improves each evaluation index by approximately 5%, verifying the rationality and effectiveness of the model for automatic mural image classification. The mural classification model proposed in this paper comprehensively considers the influences of network width and depth and can extract rich details from mural images from multiple local channels. An effective classification method could help researchers manage and protect mural images in an orderly fashion and quickly and effectively search for target images in a digital mural library based on a specified image category, aiding mural condition monitoring and restoration efforts as well as archaeological and art historical research.  相似文献   

新冠肺炎疫情下专业图书馆科研新媒体服务探究——以中国科学院文献情报中心“中国科讯”为例     

李楠  张超  路璐  邹沐宏 《图书情报工作》2020,64(15):151-156

[目的/意义] 以中国科学院文献情报中心"中国科讯"为例，分析专业图书馆应急科学传播服务的举措及成效，为应急事件下专业图书馆科学传播服务提供借鉴。[方法/过程] 梳理新冠肺炎疫情期间"中国科讯"微信公众号推送的服务内容，从日均用户增长和阅读量分析用户对不同类型内容的关注程度，提出应急科学传播服务的思考。[结果/结论] 疫情期间，"中国科讯"日均用户增长明显，电子资源保障类内容阅读量最高，其次为新冠病毒科技攻关进展相关内容、科普类直播和信息素养教育直播观看人数达到数万人。应急事件下，专业图书馆应加强特色服务的宣传、加强信息甄选和审核机制，重大公共卫生事件下应急科学传播工作预案缺失也需引起重视。  相似文献   

基于二模复杂网络的隐性知识发现方法研究——以潜在药物靶点挖掘为例     

李东巧  陈芳  韩涛  杨艳萍  王学昭  王燕鹏  Cynthia Liu  Yingzhu Li 《图书情报工作》2020,64(21):120-129

[目的/意义] 通过构建二模复杂网络模型，揭示隐藏在海量文献中的隐性知识。[方法/过程] 通过NetworkX复杂网络工具包，依据任意两个节点的共现关系构建二模复杂网络模型；对网络模型中节点的共现关系进行加权，计算网络的拓扑信息并进行AP聚类，提取节点间的直接关系；采用AUC方法对AA、JC、加权改进的wAA和wJC等4种链路预测算法进行评价，遴选出最合适的预测算法，并对复杂网络的隐性关系进行预测分析。[结果/结论] 以潜在药物靶点挖掘为例进行的实证研究结果表明，wAA链路预测算法为最优的链路预测算法；二模复杂网络模型、指标和方法体系在美国化学文摘社数据库中的药物靶点挖掘中具有一定的有效性。下一步计划在其他数据库中或其他研究领域中进行尝试，以进一步验证该模型的通用性和有效性。  相似文献   

Populist linguistic tone in recent U.S. presidential campaign discourse: a DICTION analysis     

Craig O. Stewart 《Communication Research Reports》2020,37(1-2):11-21

ABSTRACT

This study analyzed the tone of public campaign remarks of right- and left-wing populist (Donald Trump and Bernie Sanders, respectively) and right and left-wing non-populist (Mitt Romney and Hillary Clinton, respectively) U.S. presidential candidates using DICTION 7.0. Findings suggest that populists tended to use a linguistic tone that is high in pessimism, group abstractness, and exclusion. Pessimism and group abstractness were positively associated with immigration language in right-wing populist speech. Commonality and “we-ness” were positively associated with populist language in left-wing populist speech.  相似文献