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2,448 results on '"Han, Shuang"'

252. Mapping Research Trends of Medications for Multidrug-Resistant Pulmonary Tuberculosis Based on the Co-Occurrence of Specific Semantic Types in the MeSH Tree: A Bibliometric and Visualization-Based Analysis of PubMed Literature (1966–2020)

Author

Xu,Shuang, Fu,Yi, Xu,Dan, Han,Shuang, Wu,Mingzhi, Ju,Xinrong, Liu,Meng, Huang,De-Sheng, and Guan,Peng

Subjects
Drug Design, Development and Therapy
Abstract

Shuang Xu,1 Yi Fu,2 Dan Xu,1 Shuang Han,1 Mingzhi Wu,3 Xinrong Ju,1 Meng Liu,1 De-Sheng Huang,4,5 Peng Guan4,6 1Library of China Medical University, Shenyang, Liaoning, People’s Republic of China; 2School of Health Management, China Medical University, Shenyang, Liaoning, People’s Republic of China; 3Library of Shenyang Pharmaceutical University, Shenyang, Liaoning, People’s Republic of China; 4Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, Shenyang, Liaoning, People’s Republic of China; 5Department of Intelligent Computing, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning, People’s Republic of China; 6Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, People’s Republic of ChinaCorrespondence: De-Sheng Huang; Peng Guan, China Medical University, Shenyang, Liaoning, 110122, People’s Republic of China, Email dshuang@cmu.edu.cn; pguan@cmu.edu.cnBackground: Before the COVID-19 pandemic, tuberculosis is the leading cause of death from a single infectious agent worldwide for the past 30 years. Progress in the control of tuberculosis has been undermined by the emergence of multidrug-resistant tuberculosis. The aim of the study is to reveal the trends of research on medications for multidrug-resistant pulmonary tuberculosis (MDR-PTB) through a novel method of bibliometrics that co-occurs specific semantic Medical Subject Headings (MeSH).Methods: PubMed was used to identify the original publications related to medications for MDR-PTB. An R package for text mining of PubMed, pubMR, was adopted to extract data and construct the co-occurrence matrix-specific semantic types. Biclustering analysis of high-frequency MeSH term co-occurrence matrix was performed by gCLUTO. Scientific knowledge maps were constructed by VOSviewer to create overlay visualization and density visualization. Burst detection was performed by CiteSpace to identify the future research hotspots.Results: Two hundred and eight substances (chemical, drug, protein) and 147 diseases related to MDR-PTB were extracted to form a specific semantic co-occurrence matrix. MeSH terms with frequency greater than or equal to six were selected to construct high-frequency co-occurrence matrix (42 × 20) of specific semantic types contains 42 substances and 20 diseases. Biclustering analysis divided the medications for MDR-PTB into five clusters and reflected the characteristics of drug composition. The overlay map indicated the average age gradients of 42 high-frequency drugs. Fifteen top keywords and 37 top terms with the strongest citation bursts were detected.Conclusion: This study evaluated the literatures related to MDR-PTB drug therapy, providing a co-occurrence matrix model based on the specific semantic types and a new attempt for text knowledge mining. Compared with the macro knowledge structure or hot spot analysis, this method may have a wider scope of application and a more in-depth degree of analysis.Keywords: multidrug-resistant tuberculosis, pulmonary tuberculosis, medication trends, specific semantic types, MeSH tree, pubMR

Published
2023

260. Institutional Benchmarking by Using ESI and InCites Databases

Author

Chen Sisi, Qiu Yuhong, Xu Dan, Xu Shuang, and Han Shuang

Subjects
ESI, InCites, leading documents, participation rate, category normalized citation impact, Bibliography. Library science. Information resources
Abstract

[Purpose/significance] This paper aims to build a model for benchmarking analysis of two institutions by using ESI and InCites databases. It provides a feasible approach for comprehensive, quantitative and public comparison and analysis of the international delivery performance of benchmarking institutions. [Method/process] We used the index provided by ESI and InCites, including Web of Science documents, citation times, category normalized citation impact. According to the different literature contribution, we proposed three new concepts, all documents, leading documents and not-leading documents. We put forward a new index—participation rate to measure the paper competitiveness of the agencies. We compared the general paper competitiveness, the affiliated author, the cooperative organization and the publication of journals of two universities. [Result/conclusion] In this paper, Web of Science documents are used to describe the quantity of the document issued by the organization. The category normalized citation impact and citation times are used to describe the quality of the document issued by the organization. For A university, the number of documents is dominant, and for B university quality is dominant. According to the author’s data analysis, B’s top authors of international publications have greater influence, ranking in the front row. According to the data analysis of the cooperation institution, the cooperation between the best cooperation institutions in B is more efficient, and the cooperation between the two sides makes the international ranking more advanced. It is the main reason for the quality of published papers of B university that the impact factors of the periodicals where papers of B university published are much higher.

Published
2017
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265. Supplementary Data from miRNA-223 Promotes Gastric Cancer Invasion and Metastasis by Targeting Tumor Suppressor EPB41L3

Author

Li, Xiaohua, primary, Zhang, Ying, primary, Zhang, Hongwei, primary, Liu, Xiaonan, primary, Gong, Taiqian, primary, Li, Mengbin, primary, Sun, Li, primary, Ji, Gang, primary, Shi, Yongquan, primary, Han, Zheyi, primary, Han, Shuang, primary, Nie, Yongzhang, primary, Chen, Xiong, primary, Zhao, Qinchuan, primary, Ding, Jie, primary, Wu, Kaichun, primary, and Daiming, Fan, primary

Published
2023
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268. Supplementary Table 1 - 3 from Targeting a Glioblastoma Cancer Stem-Cell Population Defined by EGF Receptor Variant III

Author

Emlet, David R., primary, Gupta, Puja, primary, Holgado-Madruga, Marina, primary, Del Vecchio, Catherine A., primary, Mitra, Siddhartha S., primary, Han, Shuang-Yin, primary, Li, Gordon, primary, Jensen, Kristin C., primary, Vogel, Hannes, primary, Xu, Linda Wei, primary, Skirboll, Stephen S., primary, and Wong, Albert J., primary

Published
2023
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270. Supplementary Figures 1 - 5 from Targeting a Glioblastoma Cancer Stem-Cell Population Defined by EGF Receptor Variant III

Author

Emlet, David R., primary, Gupta, Puja, primary, Holgado-Madruga, Marina, primary, Del Vecchio, Catherine A., primary, Mitra, Siddhartha S., primary, Han, Shuang-Yin, primary, Li, Gordon, primary, Jensen, Kristin C., primary, Vogel, Hannes, primary, Xu, Linda Wei, primary, Skirboll, Stephen S., primary, and Wong, Albert J., primary

Published
2023
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273. An integrative profiling of metabolome and transcriptome in the plasma and skeletal muscle following an exercise intervention in diet-induced obese mice

Author

Han, Shuang, primary, Wu, Qingqian, additional, Wang, Mengying, additional, Yang, Miqi, additional, Sun, Chen, additional, Liang, Jiaqi, additional, Guo, Xiaozhen, additional, Zhang, Zheyu, additional, Xu, Jingya, additional, Qiu, Xinyuan, additional, Xie, Cen, additional, Chen, Siyu, additional, Gao, Yue, additional, and Meng, Zhuo-Xian, additional

Published
2023
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283. Shape-Memory Three-Dimensional Evaporators with High Portability for Efficient Solar-Driven Freshwater Production

Author

Zhang, Xintao, Liu, Ji, Han, Shuang, Li, Wei, Li, Changjun, Gao, Fu-Lin, Shu, Chao, Yu, Zhong-Zhen, and Li, Xiaofeng

Abstract

Solar-driven water evaporation can alleviate the severe water scarcity situation in a nonpolluting and sustainable manner. Although the design of integrated three-dimensional (3D) solar evaporators has been proven to be effective in achieving ultrahigh evaporation rates and energy efficiency, their scalable application is still hindered by complex manufacturing processes and poor portability. Herein, we report a highly portable shape-memory 3D solar evaporator by depositing MXene on low-cost lignin-cellulosic sponges for freshwater production. When not in use, the 3D evaporator can be compressed into a thin film with up to 89.3% volume reduction, ensuring minimal space occupation and high portability. When needed, due to the shape-memory effect, the 3D structure can be rapidly restored by swelling the compressed film in water, resulting in an efficient 3D solar evaporator. This 3D evaporator exhibits not only a high evaporation rate of 2.48 kg m–2h–1under 1 sun illumination but also excellent long-term stability and recyclability. In addition, the 3D evaporator itself can serve as a water reservoir without requiring a continuous water supply during evaporation, showing remarkable application flexibility. This work opens a new perspective for manufacturing highly portable and efficient 3D solar evaporators and may facilitate their progress from the laboratory to commercial applications.

Published
2023
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287. Future foods: Alternative proteins, food architecture, sustainable packaging, and precision nutrition.

Author

Liu, Fuguo, Li, Moting, Wang, Qiankun, Yan, Jun, Han, Shuang, Ma, Cuicui, Ma, Peihua, Liu, Xuebo, and McClements, David Julian

Subjects
ENVIRONMENTAL degradation, STRUCTURAL design, SENSORY perception, GREEN products, SYNTHETIC biology, FOOD industrial waste, NUTRITION
Abstract

There are numerous challenges facing the modern food and agriculture industry that urgently need to be addressed, including feeding a growing global population, mitigating and adapting to climate change, decreasing pollution, waste, and biodiversity loss, and ensuring that people remain healthy. At the same time, foods should be safe, affordable, convenient, and delicious. The latest developments in science and technology are being deployed to address these issues. Some of the most important elements within this modern food design approach are encapsulated by the MATCHING model: Meat-reduced; Automation; Technology-driven; Consumer-centric; Healthy; Intelligent; Novel; and Globalization. In this review article, we focus on four key aspects that will be important for the creation of a new generation of healthier and more sustainable foods: emerging raw materials; structural design principles for creating innovative products; developments in eco-friendly packaging; and precision nutrition and customized production of foods. We also highlight some of the most important new developments in science and technology that are being used to create future foods, including food architecture, synthetic biology, nanoscience, and sensory perception. Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2022.2033683 [ABSTRACT FROM AUTHOR]

Published
2023
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