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  1. Article ; Online: Medical Insurance Needs to Include Breast Reconstruction.

    Zhang, Yuwei / Wang, Hayson Chenyu

    Annals of plastic surgery

    2022  Volume 90, Issue 3, Page(s) 191

    MeSH term(s) Humans ; Female ; Mammaplasty ; Mastectomy ; Insurance ; Breast Neoplasms/surgery ; Insurance Coverage ; Insurance, Health
    Language English
    Publishing date 2022-12-08
    Publishing country United States
    Document type Editorial
    ZDB-ID 423835-7
    ISSN 1536-3708 ; 0148-7043
    ISSN (online) 1536-3708
    ISSN 0148-7043
    DOI 10.1097/SAP.0000000000003369
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1419: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Nitrogen-Doped Biochar for Enhanced Peroxymonosulfate Activation to Degrade Phenol through Both Free Radical and Direct Oxidation Based on Electron Transfer Pathways.

    Xie, Zengrun / Zhang, Yuanyuan / Li, Zhiling / Zhang, Shengxiao / Du, Chenyu

    Langmuir : the ACS journal of surfaces and colloids

    2024  Volume 40, Issue 16, Page(s) 8520–8532

    Abstract: Nowadays, super nitrogen-doped biochar (SNBC) material has become one of the most promising metal-free catalysts for activating peroxymonosulfate (PMS) to degrade organic pollutants. To understand the evolution of SNBC properties with fabrication ... ...

    Abstract Nowadays, super nitrogen-doped biochar (SNBC) material has become one of the most promising metal-free catalysts for activating peroxymonosulfate (PMS) to degrade organic pollutants. To understand the evolution of SNBC properties with fabrication conditions, a variety of SNBC materials were prepared and characterized by elemental analysis, N
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.4c00072
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Coupling coordination and underlying mechanisms of urbanization development and land use efficiency in the Gansu section of the Yellow River Basin.

    Lu, Chenyu / Zhang, Tong / Zhang, Wendi

    PloS one

    2024  Volume 19, Issue 4, Page(s) e0301784

    Abstract: This swift progression of urbanization has led to increasingly prominent conflicts over the use of land, particularly around its supply and demand. Researchers, both in China and internationally, have underscored the inherent interconnection between ... ...

    Abstract This swift progression of urbanization has led to increasingly prominent conflicts over the use of land, particularly around its supply and demand. Researchers, both in China and internationally, have underscored the inherent interconnection between urbanization and land utilization. This relationship has gradually become more complex with the development of urbanization. With the implementation of the Yellow River Basin's strategy to preserve the environment while ensuring high-quality development, the Yellow River Basin has become a focal point of attention for numerous scholars. This study centers on the 57 county-level administrative divisions within the Gansu segment of the Yellow River Basin. We employed an extensive array of methodologies, such as GIS technology, the entropy method, data envelopment analysis, the coupling coordination degree model, and the panel vector autoregressive model. We established an index system and a measurement model to evaluate the degree of urbanization and the efficiency of land use. We also investigated the coupling coordinated dynamics between these two variables, to further explore the dynamic interplay between urbanization and land use and reveal their underlying mechanisms. The conclusions are as follows. The urbanization level and efficiency of land use in the Gansu section of the Yellow River Basin have exhibited a consistent upward trajectory, albeit at levels that are not particularly high, indicating substantial room for improvement in the future. The level of coupling coordination between urbanization and land use efficiency in the Gansu section of the Yellow River Basin has shown a generally upward trend. However, the overall coordination level remains relatively low, characterized by an imbalance, with "high coupling but low coordination". Regarding spatial distribution patterns, considerable disparities exist in the level of coordination development, which generally decreases from the eastern toward the western regions. A strong reciprocal and interactive relationship exists between the urbanization level and land use efficiency. An elevated level of economic urbanization can initially stimulate land use efficiency. Similarly, the improvement in the level of population urbanization, social urbanization, and ecological urbanization tends to exert a restraining influence on the augmentation of land use efficiency. Conversely, the enhancement of land use efficiency makes a distinct contribution to promoting the elevation of the urbanization level.
    MeSH term(s) Rivers ; Urbanization ; China ; Data Analysis ; Entropy ; Economic Development ; Cities
    Language English
    Publishing date 2024-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0301784
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Case Report: Three novel pathogenic

    Zhao, Chenyu / Shi, Xiaoliu / Zhang, Yonghong / Huang, Hui

    Frontiers in genetics

    2022  Volume 13, Page(s) 895247

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2022-08-25
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2022.895247
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes.

    Chen, Lei / Zhang, Chenyu / Xu, Jing

    BMC bioinformatics

    2024  Volume 25, Issue 1, Page(s) 50

    Abstract: Background: Enzymes play an irreplaceable and important role in maintaining the lives of living organisms. The Enzyme Commission (EC) number of an enzyme indicates its essential functions. Correct identification of the first digit (family class) of the ... ...

    Abstract Background: Enzymes play an irreplaceable and important role in maintaining the lives of living organisms. The Enzyme Commission (EC) number of an enzyme indicates its essential functions. Correct identification of the first digit (family class) of the EC number for a given enzyme is a hot topic in the past twenty years. Several previous methods adopted functional domain composition to represent enzymes. However, it would lead to dimension disaster, thereby reducing the efficiency of the methods. On the other hand, most previous methods can only deal with enzymes belonging to one family class. In fact, several enzymes belong to two or more family classes.
    Results: In this study, a fast and efficient multi-label classifier, named PredictEFC, was designed. To construct this classifier, a novel feature extraction scheme was designed for processing functional domain information of enzymes, which counting the distribution of each functional domain entry across seven family classes in the training dataset. Based on this scheme, each training or test enzyme was encoded into a 7-dimenion vector by fusing its functional domain information and above statistical results. Random k-labelsets (RAKEL) was adopted to build the classifier, where random forest was selected as the base classification algorithm. The two tenfold cross-validation results on the training dataset shown that the accuracy of PredictEFC can reach 0.8493 and 0.8370. The independent test on two datasets indicated the accuracy values of 0.9118 and 0.8777.
    Conclusion: The performance of PredictEFC was slightly lower than the classifier directly using functional domain composition. However, its efficiency was sharply improved. The running time was less than one-tenth of the time of the classifier directly using functional domain composition. In additional, the utility of PredictEFC was superior to the classifiers using traditional dimensionality reduction methods and some previous methods, and this classifier can be transplanted for predicting enzyme family classes of other species. Finally, a web-server available at http://124.221.158.221/ was set up for easy usage.
    MeSH term(s) Algorithms ; Enzymes/classification
    Chemical Substances Enzymes
    Language English
    Publishing date 2024-01-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/s12859-024-05665-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Author Correction: Fast and scalable production of crosslinked polyimide aerogel fibers for ultrathin thermoregulating clothes.

    Xue, Tiantian / Zhu, Chenyu / Yu, Dingyi / Zhang, Xu / Lai, Feili / Zhang, Longsheng / Zhang, Chao / Fan, Wei / Liu, Tianxi

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 1145

    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-45600-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Corrigendum to "The antioxidant, anti-inflammatory and analgesic activity effect of ethyl acetate extract from the flowers of Syringa pubescens Turcz" [J. Ethnopharmacol. 322 (2024) 117561].

    Zhang, Jiameng / Wu, Yanfang / Wang, Chenyu / Xu, Weidong / Zhang, Zichen / Zhang, Suya / Guan, Xinyi / Wang, Xinsheng

    Journal of ethnopharmacology

    2024  Volume 324, Page(s) 117773

    Language English
    Publishing date 2024-01-18
    Publishing country Ireland
    Document type Published Erratum
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2024.117773
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1494: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Experimental study on the aluminum aggregate property during the treatment of lightweight oil spills using electrocoagulation.

    Liu, Yang / Shao, Boyan / Jiang, Wenming / Zhang, Xue / Gao, Lujing / Han, Chenyu / Xiong, Wei

    Environmental technology

    2024  , Page(s) 1–14

    Abstract: The properties of aggregates significantly affect the demulsification efficiency within the electrocoagulation reactor. This paper aims to explore aggregate properties including the particle size, strength factor ( ... ...

    Abstract The properties of aggregates significantly affect the demulsification efficiency within the electrocoagulation reactor. This paper aims to explore aggregate properties including the particle size, strength factor (F
    Language English
    Publishing date 2024-02-13
    Publishing country England
    Document type Journal Article
    ISSN 1479-487X
    ISSN (online) 1479-487X
    DOI 10.1080/09593330.2024.2315097
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Highly efficient A-site cation exchange in perovskite quantum dot for solar cells.

    Zhao, Chenyu / Zhang, Xuliang / Huang, Hehe / Yuan, Jianyu

    The Journal of chemical physics

    2022  Volume 157, Issue 3, Page(s) 31101

    Abstract: The mixed cation colloidal ... ...

    Abstract The mixed cation colloidal Cs
    Language English
    Publishing date 2022-07-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3113-6
    ISSN 1089-7690 ; 0021-9606
    ISSN (online) 1089-7690
    ISSN 0021-9606
    DOI 10.1063/5.0100258
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 4' 49/16: Show issues

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  10. Article ; Online: A Generalized Transformer-Based Pulse Detection Algorithm.

    Dematties, Dario / Wen, Chenyu / Zhang, Shi-Li

    ACS sensors

    2022  Volume 7, Issue 9, Page(s) 2710–2720

    Abstract: Pulse-like signals are ubiquitous in the field of single molecule analysis, ...

    Abstract Pulse-like signals are ubiquitous in the field of single molecule analysis,
    MeSH term(s) Algorithms ; Nanopores
    Language English
    Publishing date 2022-08-30
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2379-3694
    ISSN (online) 2379-3694
    DOI 10.1021/acssensors.2c01218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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