A review of polycyclic aromatic hydrocarbons (PAHs) research progress in China based on CNKI database

Zhao, Zhou

doi:10.1063/1.4977385

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A significant proportion of experts could be easily distinguished by their self-reported personal details (eg, affiliation and working sector) or visual symbols bestowed by the platform (eg, a blue badge after the username) [ 46 ]. Those who specialize in particular fields and engage in sharing opinions are more likely to become influencers on Zhihu [ 50 ]. These characteristics enable us to discern professionals from laypeople cost-effectively and discover the expression incongruities between the 2 user groups on Zhihu.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Luo¹,

Ji²,

Tang³

et al. 2021

J Med Internet Res

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Background COVID-19 is still rampant all over the world. Until now, the COVID-19 vaccine is the most promising measure to subdue contagion and achieve herd immunity. However, public vaccination intention is suboptimal. A clear division lies between medical professionals and laypeople. While most professionals eagerly promote the vaccination campaign, some laypeople exude suspicion, hesitancy, and even opposition toward COVID-19 vaccines. Objective This study aims to employ a text mining approach to examine expression differences and thematic disparities between the professionals and laypeople within the COVID-19 vaccine context. Methods We collected 3196 answers under 65 filtered questions concerning the COVID-19 vaccine from the China-based question and answer forum Zhihu. The questions were classified into 5 categories depending on their contents and description: adverse reactions, vaccination, vaccine effectiveness, social implications of vaccine, and vaccine development. Respondents were also manually coded into two groups: professional and laypeople. Automated text analysis was performed to calculate fundamental expression characteristics of the 2 groups, including answer length, attitude distribution, and high-frequency words. Furthermore, structural topic modeling (STM), as a cutting-edge branch in the topic modeling family, was used to extract topics under each question category, and thematic disparities were evaluated between the 2 groups. Results Laypeople are more prevailing in the COVID-19 vaccine–related discussion. Regarding differences in expression characteristics, the professionals posted longer answers and showed a conservative stance toward vaccine effectiveness than did laypeople. Laypeople mentioned countries more frequently, while professionals were inclined to raise medical jargon. STM discloses prominent topics under each question category. Statistical analysis revealed that laypeople preferred the “safety of Chinese-made vaccine” topic and other vaccine-related issues in other countries. However, the professionals paid more attention to medical principles and professional standards underlying the COVID-19 vaccine. With respect to topics associated with the social implications of vaccines, the 2 groups showed no significant difference. Conclusions Our findings indicate that laypeople and professionals share some common grounds but also hold divergent focuses toward the COVID-19 vaccine issue. These incongruities can be summarized as “qualitatively different” in perspective rather than “quantitatively different” in scientific knowledge. Among those questions closely associated with medical expertise, the “qualitatively different” characteristic is quite conspicuous. This study boosts the current understanding of how the public perceives the COVID-19 vaccine, in a more nuanced way. Web-based question and answer forums are a bonanza for examining perception discrepancies among various identities. STM further exhibits unique strengths over the traditional topic modeling method in statistically testing the topic preference of diverse groups. Public health practitioners should be keenly aware of the cognitive differences between professionals and laypeople, and pay special attention to the topics with significant inconsistency across groups to build consensus and promote vaccination effectively.

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Section: Methodsmentioning

confidence: 99%

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Luo¹,

Ji²,

Tang³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Gu (2010, p. 13) tried to construct a new multimedia technology-assisted English reading teaching mode and investigated the feasibility and effectiveness of this new reading teaching model in his senior high school; students’ reading learning methods are changed from passive to active, cooperative, and exploratory learning. Zhang (2011, p. 4) analyzes the meaning, components, and advantages that existed in online high school English collaborative reading teaching mode, and it is concluded that at this special stage of high school, the new reading teaching mode should be able to interact with the traditional reading teaching mode. Cheng (2012, p. 19) presents the empirical research on the development and use of Internet resources in English reading teaching.…”

Section: Introductionmentioning

confidence: 99%

Online English Reading Instruction in the ESL Classroom Based on Constructivism

Liu

et al. 2020

Journal of Educational Technology Systems

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With the development of Internet technology, teachers are constantly seeking innovative methods to match the potential enhancement of technology. Although many studies have been done before, these are not enough in this field. The purpose of this article is to explore innovative designs to change traditional instruction mode and test its impact. The case was carried out in English as a Second Language (ESL), classroom of NO.9 middle school of Bengbu, an underdeveloped area of China. We compared online instruction with traditional textbook literature methods to improve the reading skills of students; a questionnaire survey designed specifically for this study was conducted at the end of semester; and the collected data were processed. The findings of this study indicated that online instruction is effective, students have gained more knowledge and information through Internet than before, it helped them to improve reading skills, arouse students’ interest and motivation in learning, exam results of students have been improved significantly, and it created a positive learning situation.

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A review of polycyclic aromatic hydrocarbons (PAHs) research progress in China based on CNKI database

Cited by 2 publications

References 5 publications

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Online English Reading Instruction in the ESL Classroom Based on Constructivism

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