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  1. Article ; Online: Author Correction: A comprehensive analysis and experimental validation of TK1 in uterine corpus endometrial carcinoma.

    Sun, Yiqing / Zhang, Kaiwen / Wang, Tianqi / Zhao, Shuangshuang / Gao, Chao / Xue, Fengxia / Wang, Yingmei

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 8883

    Language English
    Publishing date 2024-04-17
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59542-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Design, Synthesis, and Biological Evaluation of 2-Phenoxyalkylhydrazide Benzoxazole Derivatives as Quorum Sensing Inhibitors with Strong Antibiofilm Effect.

    Zhang, Panpan / Ma, Yangchun / Wang, Yingmei / Dong, Enhui / Ma, Shutao

    Journal of medicinal chemistry

    2024  Volume 67, Issue 7, Page(s) 5721–5743

    Abstract: With the increasing problem of bacterial resistance to traditional antibiotics, there is an urgent need for new antibacterial agents with novel mechanisms to treat infections caused by drug-resistant bacteria. In this paper, we designed and synthesized 2- ...

    Abstract With the increasing problem of bacterial resistance to traditional antibiotics, there is an urgent need for new antibacterial agents with novel mechanisms to treat infections caused by drug-resistant bacteria. In this paper, we designed and synthesized 2-phenoxyalkylhydrazide benzoxazole derivatives and evaluated their quorum sensing inhibition activity. Among them,
    MeSH term(s) Animals ; Mice ; Quorum Sensing ; Biofilms ; Anti-Bacterial Agents/pharmacology ; Bacteria ; Pseudomonas aeruginosa ; Virulence Factors
    Chemical Substances Anti-Bacterial Agents ; Virulence Factors
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 218133-2
    ISSN 1520-4804 ; 0022-2623
    ISSN (online) 1520-4804
    ISSN 0022-2623
    DOI 10.1021/acs.jmedchem.3c02379
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 151: Show issues Location:
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  3. Article ; Online: Inhibition of METTL3 ameliorates doxorubicin-induced cardiotoxicity through suppression of TFRC-mediated ferroptosis.

    Wu, Lin / Du, Yuxin / Wang, Litao / Zhang, Yingmei / Ren, Jun

    Redox biology

    2024  Volume 72, Page(s) 103157

    Abstract: Background: Doxorubicin (DOX) is a chemotherapeutic drug, while its clinical use is greatly limited by the life-threatening cardiotoxicity. N: Methods: Mice were administrated with DOX (accumulative dosage of 20 mg/kg) repeatedly to establish a ... ...

    Abstract Background: Doxorubicin (DOX) is a chemotherapeutic drug, while its clinical use is greatly limited by the life-threatening cardiotoxicity. N
    Methods: Mice were administrated with DOX (accumulative dosage of 20 mg/kg) repeatedly to establish a chronic DIC model. Cardiomyocyte-specific conditional METTL3 knockout mice were employed to evaluate the effects of altered m
    Results: DOX led to increased levels in m
    Conclusion: METTL3 plays a cardinal role in the etiology of DIC by regulating cardiac iron metabolism and ferroptosis through TFRC m
    Language English
    Publishing date 2024-04-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2701011-9
    ISSN 2213-2317 ; 2213-2317
    ISSN (online) 2213-2317
    ISSN 2213-2317
    DOI 10.1016/j.redox.2024.103157
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  4. Article ; Online: Exploring the effect of ecological land structure on PM

    Wang, Yang / Wang, Min / Wu, Yingmei / Sun, Guiquan

    Environment international

    2023  Volume 174, Page(s) 107889

    Abstract: In the context of serious urban air pollution and limited land resources, it is important to understand the environmental value of ecological land. Previous studies focused mostly on the effectiveness of a particular type of green space or the total ... ...

    Abstract In the context of serious urban air pollution and limited land resources, it is important to understand the environmental value of ecological land. Previous studies focused mostly on the effectiveness of a particular type of green space or the total amount of ecological land on PM
    MeSH term(s) Air Pollutants/analysis ; Cities ; Particulate Matter/analysis ; Environmental Monitoring/methods ; Air Pollution/analysis ; China
    Chemical Substances Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2023-03-21
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 554791-x
    ISSN 1873-6750 ; 0160-4120
    ISSN (online) 1873-6750
    ISSN 0160-4120
    DOI 10.1016/j.envint.2023.107889
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    Zs.A 3131: Show issues Location:
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  5. Article: Eurotium cristatum

    Wang, Yu / Li, Ting / Yang, Chengcheng / Wu, Yingmei / Liu, Yueyue / Yang, Xingbin

    Foods (Basel, Switzerland)

    2023  Volume 12, Issue 20

    Abstract: This study investigated the potential fat-thermogenic effects ... ...

    Abstract This study investigated the potential fat-thermogenic effects of
    Language English
    Publishing date 2023-10-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods12203716
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  6. Article ; Online: Exploring the effect of ecological land structure on PM2.5

    Yang Wang / Min Wang / Yingmei Wu / Guiquan Sun

    Environment International, Vol 174, Iss , Pp 107889- (2023)

    A panel data study based on 277 prefecture-level cities in China

    2023  

    Abstract: In the context of serious urban air pollution and limited land resources, it is important to understand the environmental value of ecological land. Previous studies focused mostly on the effectiveness of a particular type of green space or the total ... ...

    Abstract In the context of serious urban air pollution and limited land resources, it is important to understand the environmental value of ecological land. Previous studies focused mostly on the effectiveness of a particular type of green space or the total amount of ecological land on PM2.5 and have rarely analyzed the association between ecological land structure and PM2.5 systematically and quantitatively. Therefore, we took 277 cities in China as an example, comprehensively compared the results of different models, and selected a spatial Durbin model using time-fixed effects to dissect the degree of influence of ecological land and different land types within it on PM2.5. The urban ecological land use structure was closely related to PM2.5, and the higher the proportion of ecological land use was, the lower the PM2.5. The degree and direction of influence of different types of land functions within ecological land on PM2.5 differed, with forests, shrubs, and grasslands causing a weakening impact on PM2.5, while wetlands and waters did not have a weakening role. The degree of reduction of PM2.5 by a single type of ecological land was significantly smaller than that by a composite type of ecological land. Green space should be comprehensively considered, designed and adjusted in urban planning to continuously optimize the ecological spatial structure, increase landscape diversity and maximize ecological benefits. The findings of this study help with exploring the effects of land use structure under the goal-oriented control of air pollution and provide theoretical reference and decision-making support for formulating precise air pollution control policies and optimizing the spatial development of national land.
    Keywords Ecological land structure ; PM2.5 ; Ecological effects ; Air pollution ; Spatial Durbin model ; Environmental sciences ; GE1-350
    Subject code 710 ; 910
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Hydrogen-rich water treatment targets RT1-Db1 and RT1-Bb to alleviate premature ovarian failure in rats

    Xiaoyin Meng / Shuai Zhang / Lu Zhao / Yingmei Wang

    PeerJ, Vol 11, p e

    2023  Volume 15564

    Abstract: Background Premature ovarian failure (POF) is defined as the cessation of ovarian function before the age of 40 years, imposing a significant health burden on patients. However, effective etiological therapy for POF is scarce. Thus, we aimed to explore ... ...

    Abstract Background Premature ovarian failure (POF) is defined as the cessation of ovarian function before the age of 40 years, imposing a significant health burden on patients. However, effective etiological therapy for POF is scarce. Thus, we aimed to explore the protective role and targets of hydrogen-rich water (HRW) in POF. Methods Based on cyclophosphamide (CTX)-induced POF rat models, the protective role of HRW treatment was mainly determined through serum 17-β-estradiol (E2), follicle-stimulating hormone (FSH), anti-mullerian hormone (AMH) levels, ovarian histomorphological analysis, and TUNEL assay. Tandem mass tag (TMT)-based quantitative proteomic analysis was then conducted on ovarian tissues, and the targets of HRW in POF were identified integrating differential expression analysis, functional enrichment analysis, and interaction analysis. Results In HRW treatment of POF rats, the serum AMH and E2 levels significantly increased, and FSH level significantly reduced, indicating the protective role of HRW. After TMT quantitative proteomic analysis, a total of 16 candidate differentially expressed proteins (DEPs) were identified after the cross analysis of DEPs from POF vs. control and POF+HRW vs. POF groups, which were found to be significantly enriched in 296 GO terms and 36 KEGG pathways. The crucial targets, RT1-Db1 and RT1-Bb, were finally identified based on both protein-protein interaction network and GeneMANIA network. Conclusions The HRW treatment could significantly alleviate the ovarian injury of POF rats; RT1-Db1 and RT1-Bb are identified as two crucial targets of HRW treatment in POF rats.
    Keywords Hydrogen-rich water ; RT1-Db1 ; RT1-Bb ; Premature ovarian failure ; Tandem mass tag (TMT)-based quantitative proteomic analysis ; Medicine ; R ; Biology (General) ; QH301-705.5
    Subject code 616
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher PeerJ Inc.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: A portable molecularly imprinted polymer-modified microchip sensor for the rapid detection of perfluorooctanoic acid.

    Wei, Yingmei / Liu, Hongjie / Wang, Shaopeng / Yu, Kefu / Wang, Liwei

    The Analyst

    2023  Volume 148, Issue 16, Page(s) 3851–3859

    Abstract: High-performance electrochemical sensors have attracted intensive interest in real-time environmental safety monitoring, the Internet of Things, and telemedicine applications. A key limitation to field measurement of pollutant distribution is the lack of ...

    Abstract High-performance electrochemical sensors have attracted intensive interest in real-time environmental safety monitoring, the Internet of Things, and telemedicine applications. A key limitation to field measurement of pollutant distribution is the lack of a highly sensitive and selective monitoring platform, thus severely hindering the decentralized monitoring of pollutant exposure risk. Hence, a sensor was developed in this study by using a molecularly imprinted polymer (MIP). Specifically, Cu
    Language English
    Publishing date 2023-08-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 210747-8
    ISSN 1364-5528 ; 0003-2654
    ISSN (online) 1364-5528
    ISSN 0003-2654
    DOI 10.1039/d3an00653k
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    Zs.A 2423: Show issues Location:
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  9. Article ; Online: Restoration of Spatially Variant Blurred Images with Wide-Field Telescope Based on Deep Learning.

    Tian, Yingmei / Wang, Jianli / Liu, Junchi / Guo, Xiangji

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 7

    Abstract: The wide-field telescope is a research hotspot in the field of aerospace. Increasing the field of view of the telescope can expand the observation range and enhance the observation ability. However, a wide field will cause some spatially variant optical ... ...

    Abstract The wide-field telescope is a research hotspot in the field of aerospace. Increasing the field of view of the telescope can expand the observation range and enhance the observation ability. However, a wide field will cause some spatially variant optical aberrations, which makes it difficult to obtain stellar information accurately from astronomical images. Therefore, we propose a network for restoring wide-field astronomical images by correcting optical aberrations, called ASANet. Based on the encoder-decoder structure, ASANet improves the original feature extraction module, adds skip connection, and adds a self-attention module. With these methods, we enhanced the capability to focus on the image globally and retain the shallow features in the original image to the maximum extent. At the same time, we created a new dataset of astronomical aberration images as the input of ASANet. Finally, we carried out some experiments to prove that the structure of ASANet is meaningful from two aspects of the image restoration effect and quality evaluation index. According to the experimental results, compared with other deblur networks, the PSNR and SSIM of ASANet are improved by about 0.5 and 0.02 db, respectively.
    Language English
    Publishing date 2023-04-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23073745
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Dual adaptive learning multi-task multi-view for graph network representation learning.

    Han, Beibei / Wei, Yingmei / Wang, Qingyong / Wan, Shanshan

    Neural networks : the official journal of the International Neural Network Society

    2023  Volume 162, Page(s) 297–308

    Abstract: Graph network analysis, which achieves widely application, is to explore and mine the graph structure data. However, existing graph network analysis methods with graph representation learning technique ignore the correlation between multiple graph ... ...

    Abstract Graph network analysis, which achieves widely application, is to explore and mine the graph structure data. However, existing graph network analysis methods with graph representation learning technique ignore the correlation between multiple graph network analysis tasks, and they need massive repeated calculation to obtain each graph network analysis results. Or they cannot adaptively balance the relative importance of multiple graph network analysis tasks, that lead to weak model fitting. Besides, most of existing methods ignore multiplex views semantic information and global graph information, which fail to learn robust node embeddings resulting in unsatisfied graph analysis results. To solve these issues, we propose a multi-task multi-view adaptive graph network representation learning model, called M
    MeSH term(s) Learning ; Semantics ; Uncertainty
    Language English
    Publishing date 2023-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2023.02.026
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