东华大学研究生部! 设为首页|加入收藏
当前位置:首页  通知公告
通知公告
东华大学首届学术英语演讲大赛暨第三届中国大学生5分钟科研英语演讲大赛初赛(东华大学赛区)
发布时间:2020-07-15 访问次数:12

让大学生用英语讲科研!

为提高我校本科生、研究生使用英语从事专业学习、科研创新和学术交流的能力,激发英语学习兴趣, 响应国家培养具有国际竞争力的复合型人才需求,校将于2020年9月23日举办“东华大学首届学术英语演讲大赛暨第三届中国大学生5分钟科研英语演讲大赛(东华大学赛区)”。 

 

参赛对象:东华大学全体在校本科生和研究生,分为本科组研究生组。

参赛要求:

参赛选手需用易于理解的英语、在5分钟时间内向没有专业背景的听众(这是判断演讲成功有否的一个重要标准)介绍一项与自己专业相关(包括专业科普类)的研究。

一.演讲内容可以介绍本人(或本组成员)已发表或撰写中的科研论文,也可以介绍尚处于想法阶段的科研计划。

二.演讲的具体内容包括:

1. 论文标题和研究领域;

2.研究现状;

3.研究目的(问题或假设);

4.研究方法;

5.研究结果(或预期结果);

6.结果讨论和研究意义;

7.参考文献(可放在PPT)。

三.作品形式是5分钟演讲(PPT展示内容,页数尽量控制在不超过10页)和200-250词左右的英文论文摘要(参见附录摘要样本)。

四.参赛选手需遵守学术道德,不得出现以下学术不端行为:

1.抄袭、剽窃、侵吞他人学术成果;2.篡改他人学术成果;3.伪造或者篡改数据、文献,捏造事实;4.未参加创作,在他人学术成果上署名。如发现选手有上述行为,组委会将取消选手的参赛资格,并且通报选手所在学校进行严肃处理。 

参赛日程安排

一.时间2020年9月23日14点

二.地点:待定

三.报名:请参加的同学加入QQ群 

本科生组:718861149

研究生组:1140150813

 

奖项设置:

学术英语演讲大赛设立特等奖、一、二、等奖和优胜奖若干名。特等奖一二三等奖有奖品和获奖证书,优胜奖有获奖证书。

 

附录

摘要样本

 

Understanding Service Integration of Online Social Networks: A Data-Driven Study

 

The cross-site linking function is widely adopted by online social networks (OSNs). This function allows a user to link her account on one OSN to her accounts on other OSNs. Thus, users are able to sign in with the linked accounts, share contents among these accounts and import friends from them. It leads to the service integration of different OSNs. This integration not only provides convenience for users to manage accounts of different OSNs, but also introduces usefulness to OSNs that adopt the cross-site linking function. In this paper, we investigate this usefulness based on users’ data collected from a popular OSN called Medium. We conduct a thorough analysis on its social graph, and find that the service integration brought by the cross site linking function is able to change Medium’s social graph structure and attract a large number of new users. However, almost none of the new users would become high Page Rank users (PageRank is used to measure a user’s influence in an OSN). To solve this problem, we build a machine-learning-based model to predict high PageRank users in Medium based on their Twitter data only. This model achieves a high F1-score of 0.942and a high area under the curve (AUC) of 0.986. Based on it, we design a system to assist new OSNs to identify and attract high PageRank users from other well-established OSNs through the cross-site linking function.

 

 

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

 

BACKGROUND 

The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the

Epidemiologic characteristics of NCIP.

METHODS 

We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number.

RESULTS 

Among the first 425 patients with confirmed NCIP, the median age was 59

Years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with

8.6% of the subsequent cases. The mean incubation period was 5.2 days (95%

confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at

12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a

mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number

was estimated to be 2.2 (95% CI, 1.4 to 3.9).

CONCLUSIONS 

On the basis of this information, there is evidence that human-to-human

Transmission has occurred among close contacts since the middle of December

2019. Considerable efforts to reduce transmission will be required to control

outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce

transmission should be implemented in populations at risk. (Funded by the Ministry

of Science and Technology of China and others.)

 


Copyright©2016 松江校区:上海市松江区人民北路2999号 201620,延安路校区:上海市延安西路1882号 200051
沪ICP备05003365 yjsdep@dhu.edu.cn