The Predicaments and Countermeasures of the Chinese Commercial Bibliographic Databases

In China, the vast majority of the bibliographic databases is commercial, such as China National Knowledge Infrastructure （CNKI）, Wanfang Database, Longyuan Journal Net, CQVIP Company, however, there are also non-profit open access （OA） databases, such as journal database jointly established by Chinese Academy of Social Sciences （CASS） and National Social Science Fund. The commercial bibliographic databases have to face many difficulties： intellectual property disputes, the benefit distribution between the hardcopy periodical and the commercial bibliographic database, the lack of quality assessment about the commercial bibliographic databases, the need of improving digital technology as well as the lack of a unified database regulation, which restricts the development of commercial bibliographic databases. This paper puts forward the countermeasures from the perspective of how to enhance the governmental management; how to protect the intellectual property fight; how to improve the technical standard of the commercial bibliographic databases; how to build interest distribution between the hardcopy periodical and the commercial bibliographic database; how to improve the quality of commercial bibliographic databases; and how to improve the industrial chain of the commercial bibliographic databases.

On the database-based strategy of candidate extractant generation for de-phenol process in coking wastewater treatment

A database-based strategy of candidate generation was proposed for molecular design of new de-phenol extractants following the idea of finding new applications of existing commercial compounds. The strategy has the advantage that the environmental, safety and health risks of candidate compounds are known and controllable. In this work, the Existing Commercial Compounds(ECC) database and special combined search strategy were developed as the base for the proposed CAMD method following such idea, and molecules for phenol extraction used in coking wastewater treatment were selected from the ECC database. The candidate solvents cover the following categories: ketones, esters, ethers, alcohols, anhydrides and benzene compounds, which are consistent with the de-phenol extractants commonly used in the industry or experiment. The compounds with higher partition coefficient and selectivity than widely used methyl isobutyl ketone(MIBK) are mainly ketones. 26 obtained molecules show higher partition coefficient and selectivity than MIBK, which are suggested to be further investigated by experiment. Furthermore, analysis of these potential molecules may present the effective functional groups as the initial group set to generate new molecular structures of de-phenol extractants. The results show that the proposed method enables us to efficiently generate chemicals with benefits of less time, less economical cost, and known environmental impact as well.