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Copyright of Journal of Vibration, Measurement & Diagnosis is the property of Nanjing Hangkong Daxue and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Technology of Water Treatment is the property of Technology of Water Treatment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

OBJECTIVE: To explore the mechanism of expectorant mixture in the treatment of productive cough based on network pharmacology. METHODS: Components of expectorant mixture were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Symmap database and BATMAN database. The effective components of expectorant mixture were screened by oral bioavailability ≥30% and drug-likeness ≥ 0. 18. Pubchem database and SwissTargetPrediction database were used to screen the active components and predict the targets, the disease-drug-component-target network was constructed by Cytoscape. Protein-protein interaction network of the targets were constructed by STRING and the key targets were calculated by R language. Finally, gene ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of related targets were performed by using the DAVID database. RESULTS: Totally 22 potential active components and 298 drug-disease related targets were screened out, which indicated that expectorant mixture might play a role in the treatment of productive cough by regulating some biological processes including response to drug, phospholipase C-activating G-protein coupled receptor signaling pathway and positive regulation of cell proliferation, and some molecular functions such as enzyme binding, protein kinase activity and drug binding. The mechanism might be closely related to the regulation of neuroactive ligand-receptor interaction, cyclic adenosine monophosphate signaling pathway and calcium signaling pathway. CONCLUSIONS: Expectorant mixture can exert the mechanisms of treating productive cough through multi-components, multi-targets and multi-pathways, which lays the research foundation for further exploring the mechanism. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Media Research is the property of New Media Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Geology / Gongcheng Dizhi Xuebao is the property of Journal of Engineering Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Purpose/Significance] Since the outbreak of COVID-19, there has been a rapid increase in the number of studies related to COVID-19 at home and abroad. Review of relevant literature on COVID-19 provides data resources for related research on the emergence and transmission mechanism of SARS-CoV-2. However, the current COVID-19 related dataset is a collection of the literature, without classifying the data for each subfield, and the coarse-grained information such as the title and author fails to provide an in-depth understanding of the progress of COVID-19 research. Therefore, this paper created a dataset for the COVID-19 sub-domain and a fine-grained entity dataset. [Method/Process] Firstly, this paper proposed a literature screening method based on active learning model, which can obtain more valuable marker samples with less labor cost, so that the classifier has better generalization performance. We considered three base classifiers: Support Vector Machine (SVM), Logistic Regression (LR), and Random Forest (RF), while considering four query strategies: uncertainty sampling, expected error reduction, committee-based query, and random sampling. Taking the origin of SARS-CoV-2, one of the sub-fields related to SARS-CoV-2, as an example, articles related to the origin of SARS-CoV-2 were efficiently and accurately located from the literature. At the same time, this paper designed a labeling scheme covering 18 types of entities, including not only genes, proteins, compounds and other entities that are universal in the biological field, but also corona viruses and wild animals that are unique to the field of SARS-CoV-2. In this paper, visual annotation tool BRAT was used for entity annotation. The tagging team consisted of an administrator and six annotators, and the entity tagging consisted of two rounds. What's more, multi-k consistency index was used to calculate the consistency score of annotation results. [Results/Conclusions] The results of the active learning model show that the uncertain sampling query strategy has the best performance. SVM, LR and RF based on uncertain sampling can correctly screen 425, 465 and 489 articles, respectively. After the removal of overlapping articles, a dataset related to the origin of SARS-CoV-2 was constructed, containing a total of 885 articles. Secondly, based on the proposed entity labeling scheme, 6 annotators completed 99 papers. Based on the results of fine marking, this paper constructed an entity dataset containing 39,118 entities, which is the largest and most comprehensive entity corpus in the field of COVID-19. [ABSTRACT FROM AUTHOR]

The Bohai Sea and the Yellow Sea have been the essential marine granary and eco-environmental governance areas in China. Wherein the carbon dioxide emission from fishing vessels can be normally neglected to assess the global greenhouse gas (GHG). It is very necessary to identify the specific contribution of the productive fishing vessels to the GHG emission, in order to reduce the carbon emission for the carbon neutral. Taking the Bohai Sea and the Yellow Sea as the research areas, this study aims to explore the spatiotemporal characteristics of carbon dioxide emission from the fishing vessels. A dynamic calculation model of carbon dioxide emission from fishing vessels was established using vessel management and position data, in order to reveal the impact of fishery production activities on climate warming. Nine types of fishing vessels were also selected to analyze the carbon dioxide emissions intensity and spatiotemporal characteristics from 2020 to 2021. Results showed that: 1) The total carbon dioxide emissions of fishing vessels in Bohai Sea and the Yellow Sea were 4.5 and 9.45 million tons, respectively, indicating the distribution characteristics of low nearshore and high offshore. Hot spots were distributed mainly in the fishing ground of Bohai Bay, Luanhekou, Haidong, Yanwei, Shidao, Shidong, Haizhou Bay, and Daisha. Every ton of fishing catches emitted approximately 1.57 and 3.27 t of carbon dioxide, respectively, when considering the yield data. 2) Trawler and gillnet fishing vessels were the main contributors to the total carbon dioxide emissions, accounting for more than 70% of the total emissions from all fishing vessels. Among them, the auxiliary vessels were the highest, followed by the purse seiner vessels, in terms of emissions per vessel per unit sailing time. Carbon dioxide emissions per unit sailing time from the single vessel were similar to the trawler, gillnet, stow net, purse seine, auxiliary, and unknown types, whereas, there was the significant difference for the line, and aquaculture types. 3) There was the similar spatial distribution of carbon dioxide emissions from the fishing vessels in the same month in the different years. But the hot spots exhibited a strong spatial difference. Firstly, the hot spots occurred in the central and southern part of the Yellow Sea from January to April, where a high-value belt was extended the southeast from the Haizhou Bay to the East China Sea. Then, there was no carbon dioxide emission in the offshore area from May to August. Eventually, the hot spots were shifted to the central Bohai Sea, the eastern Shandong Peninsula, and the central Yellow Sea from September to December. In general, the center of gravity of carbon dioxide emission from the fishing vessels was transferred from the coastal to the central open waters. The finding can provide a theoretical basis for the transformation of fisheries into the low carbon. Two suggestions were also proposed to reduce the carbon emissions of fishing vessels. One is to accelerate the transformation of fishery production and product formats, and another is to strengthen the carbon emission management of key fishing vessels and key areas. In the end, it can be expected to assess the carbon emission system for the fishing vessels [ABSTRACT FROM AUTHOR]

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of the Chinese Society of Rare Earths is the property of Editorial Department of Journal of the Chinese Society of Rare Earths and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Big Data is the property of Journal of Agricultural Big Data Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)