In this paper, we conduct research on the library development prospects and challenges under the environment of big data and cloud computing. Increasingly nervous and public libraries are facing funding, resources con...In this paper, we conduct research on the library development prospects and challenges under the environment of big data and cloud computing. Increasingly nervous and public libraries are facing funding, resources construction pace slow or stagnant difficult situation, readers to the library cause in the new times challenge. Big data era has quietly come, for the knowledge storage, use and development as own duty, the library, how to improve the ability of handling large amounts of growth literature is urgent. Our methodology solves the issues well which will be meaningful.展开更多
A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employ...A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employed to predict Chinese stock returns.The empirical results show that 1)the Search Frequency of Baidu Index(SFBI)can predict next day’s price changes;2)the stock prices go up when individual investors pay less attention to the stocks and go down when individual investors pay more attention to the stocks;3)the trading strategy constructed by shorting on the most SFBI and longing on the least SFBI outperforms the corresponding market index returns without consideration of the transaction costs.These results complement the existing literature on the predictability of Chinese stock returns and have potential implications for asset pricing and risk management.展开更多
The development of intelligent and personalized recommendation service has become the trend in the era with rapid development of digital library and the popularization of intelligent technology.However,the traditional...The development of intelligent and personalized recommendation service has become the trend in the era with rapid development of digital library and the popularization of intelligent technology.However,the traditional personalized service cannot meet the needs of users and the demands of digital library’s development.Furthermore,the needs of users are becoming morecomplicated.How to accurately describe and fully understand the user's complex personalized requirements,and how to make the recommendation of resource services according to their needs have become a difficult problem.on the other hand,because the resources of digital libraries are huge,it’s the focus that how to effectively collect massive resources and support efficient retrieval and recommendations,as well as how to fully exploit the intrinsic semantic links of digital library resources.In this regard,this review aim to analyze the construction of library resources informatization in the era of big data and expounds the important significance of constructing digital libraries.This paper alsooptimizes the services of the wisdom libraries after analyzing informatization library resources from the aspects of image resources,service strategies of MOOC and reading changes.Finally,it studies the approaches of realizing the service strategies of library resources which can be used for reference.展开更多
In the era of the big data. the national strategies and the rapid development of computers and storage technologies bring opportunities and challenges to the library＇s data services. Based on the investigation litera...In the era of the big data. the national strategies and the rapid development of computers and storage technologies bring opportunities and challenges to the library＇s data services. Based on the investigation literature of the scientific data services in the university libraries in the United States, the development process of the scientific data is analyzed from three aspects of the service types, the service mode and the service contents. The author of this paper also proposes opportunities and challenges from 5 aspects of the policy support. strengthening the publicity, the self learning, the self positioning and relying on the embedded subject librarians, to promote the development of the library scientific data services.展开更多
Objective:Analyzing the symptom characteristics of Coronavirus Disease 2019(COVID-19)to improve control and prevention.Methods:Using the Baidu Index Platform(http://index.baidu.com)and the website of Chinese Center fo...Objective:Analyzing the symptom characteristics of Coronavirus Disease 2019(COVID-19)to improve control and prevention.Methods:Using the Baidu Index Platform(http://index.baidu.com)and the website of Chinese Center for Disease Control and Prevention as data resources to obtain the search volume(SV)of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020 and the epidemic data in Hubei province and the other top 9 impacted provinces in China.Data of 2020 were compared with those of the previous three years.Data of Hubei province were compared with those of the other 9 provinces.The differences and characteristics of the SV of COVID-19-related symptoms,and the correlations between the SV of COVID-19 and the number of newly confirmed/suspected cases were analyzed.The lag ef-fects were discussed.Results:Comparing the SV from January 1,2020 to February 20,2020 with those for the same period of the previous three years,Hubei’s SV for cough,fever,diarrhea,chest tightness,dys-pnea,and other symptoms were significantly increased.The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms(P<0.001).The SV of COVID-19 in Hubei province was significantly correlated with the number of newly confirmed/suspected cases(rconfirmed Z 0.723,rsuspected Z 0.863,both p<0.001).The results of the distributed lag model suggested that the patients who searched relevant symptoms on the Internet may begin to see doctors in 2e3 days later and be confirmed in 3e4 days later.Conclusion:The total SV of lower respiratory symptoms was higher than that of upper respira-tory symptoms,and the SV of diarrhea also increased significantly.It warned us to pay atten-tion to not only the symptoms of the lower respiratory tract but also the gastrointestinal symptoms,especially diarrhea in patients with COVID-19.Internet search behavior had a pos-itive correlation with the number of newly confirmed/suspected cases,suggesting that big data has an important role in the early warning of infectious diseases.展开更多
文摘In this paper, we conduct research on the library development prospects and challenges under the environment of big data and cloud computing. Increasingly nervous and public libraries are facing funding, resources construction pace slow or stagnant difficult situation, readers to the library cause in the new times challenge. Big data era has quietly come, for the knowledge storage, use and development as own duty, the library, how to improve the ability of handling large amounts of growth literature is urgent. Our methodology solves the issues well which will be meaningful.
基金This work is supported by the National Natural Science Foundation of China(71320107003 and 71532009).
文摘A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employed to predict Chinese stock returns.The empirical results show that 1)the Search Frequency of Baidu Index(SFBI)can predict next day’s price changes;2)the stock prices go up when individual investors pay less attention to the stocks and go down when individual investors pay more attention to the stocks;3)the trading strategy constructed by shorting on the most SFBI and longing on the least SFBI outperforms the corresponding market index returns without consideration of the transaction costs.These results complement the existing literature on the predictability of Chinese stock returns and have potential implications for asset pricing and risk management.
文摘The development of intelligent and personalized recommendation service has become the trend in the era with rapid development of digital library and the popularization of intelligent technology.However,the traditional personalized service cannot meet the needs of users and the demands of digital library’s development.Furthermore,the needs of users are becoming morecomplicated.How to accurately describe and fully understand the user's complex personalized requirements,and how to make the recommendation of resource services according to their needs have become a difficult problem.on the other hand,because the resources of digital libraries are huge,it’s the focus that how to effectively collect massive resources and support efficient retrieval and recommendations,as well as how to fully exploit the intrinsic semantic links of digital library resources.In this regard,this review aim to analyze the construction of library resources informatization in the era of big data and expounds the important significance of constructing digital libraries.This paper alsooptimizes the services of the wisdom libraries after analyzing informatization library resources from the aspects of image resources,service strategies of MOOC and reading changes.Finally,it studies the approaches of realizing the service strategies of library resources which can be used for reference.
文摘In the era of the big data. the national strategies and the rapid development of computers and storage technologies bring opportunities and challenges to the library＇s data services. Based on the investigation literature of the scientific data services in the university libraries in the United States, the development process of the scientific data is analyzed from three aspects of the service types, the service mode and the service contents. The author of this paper also proposes opportunities and challenges from 5 aspects of the policy support. strengthening the publicity, the self learning, the self positioning and relying on the embedded subject librarians, to promote the development of the library scientific data services.
基金supported by the National Natural Science Foundation of China(Grant No.81670912 and 81870704)the Industry-Academic Cooperation Foundation of Guangz-hou(No.201704030046)Sun Yat-sen University Clinical Research 5010 Program(NO.2019006).
文摘Objective:Analyzing the symptom characteristics of Coronavirus Disease 2019(COVID-19)to improve control and prevention.Methods:Using the Baidu Index Platform(http://index.baidu.com)and the website of Chinese Center for Disease Control and Prevention as data resources to obtain the search volume(SV)of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020 and the epidemic data in Hubei province and the other top 9 impacted provinces in China.Data of 2020 were compared with those of the previous three years.Data of Hubei province were compared with those of the other 9 provinces.The differences and characteristics of the SV of COVID-19-related symptoms,and the correlations between the SV of COVID-19 and the number of newly confirmed/suspected cases were analyzed.The lag ef-fects were discussed.Results:Comparing the SV from January 1,2020 to February 20,2020 with those for the same period of the previous three years,Hubei’s SV for cough,fever,diarrhea,chest tightness,dys-pnea,and other symptoms were significantly increased.The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms(P<0.001).The SV of COVID-19 in Hubei province was significantly correlated with the number of newly confirmed/suspected cases(rconfirmed Z 0.723,rsuspected Z 0.863,both p<0.001).The results of the distributed lag model suggested that the patients who searched relevant symptoms on the Internet may begin to see doctors in 2e3 days later and be confirmed in 3e4 days later.Conclusion:The total SV of lower respiratory symptoms was higher than that of upper respira-tory symptoms,and the SV of diarrhea also increased significantly.It warned us to pay atten-tion to not only the symptoms of the lower respiratory tract but also the gastrointestinal symptoms,especially diarrhea in patients with COVID-19.Internet search behavior had a pos-itive correlation with the number of newly confirmed/suspected cases,suggesting that big data has an important role in the early warning of infectious diseases.
