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  1. Article ; Online: Erratum: Zhang and Stocker, "Prior Expectations in Visual Speed Perception Predict Encoding Characteristics of Neurons in Area MT".

    Zhang, Ling-Qi / Stocker, Alan A

    The Journal of neuroscience : the official journal of the Society for Neuroscience

    2022  Volume 42, Issue 23, Page(s) 4767

    Language English
    Publishing date 2022-05-25
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ZDB-ID 604637-x
    ISSN 1529-2401 ; 0270-6474
    ISSN (online) 1529-2401
    ISSN 0270-6474
    DOI 10.1523/JNEUROSCI.0841-22.2022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Erratum for Zhang et al., "Clinical and Molecular Characterizations of Carbapenem-Resistant Klebsiella pneumoniae Causing Bloodstream Infection in a Chinese Hospital".

    Zhang, Na / Qi, Lihua / Liu, Xiong / Jin, Meiling / Jin, Yuan / Yang, Xiaojing / Chen, Jiali / Qin, Shiyu / Liu, Fangni / Tang, Yue / Jia, Ruizhong / Zhang, Xiushan / Wang, Yong / Guo, Jinpeng / Liu, Jie / Wang, Changjun / Chen, Yong

    Microbiology spectrum

    2022  , Page(s) e0445322

    Language English
    Publishing date 2022-11-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.04453-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Response to "Comments on 'Zhang et al: Clinical trial analysis of 2019-nCoV therapy registered in China'".

    Zhang, Qi / Wang, Yakun / Qi, Changsong / Shen, Lin / Li, Jian

    Journal of medical virology

    2020  Volume 92, Issue 7, Page(s) 713

    MeSH term(s) Betacoronavirus ; COVID-19 ; China ; Clinical Trials as Topic ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-25
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.25803
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Description of larva and female of Polypedilum (Probolum) bullum Zhang Wang with DNA barcodes.

    Lei, Q I / Chen, Jinxian / Song, Chao / Qi, Xin / Zhang, Ruilei

    Zootaxa

    2020  Volume 4890, Issue 2, Page(s) zootaxa.4890.2.6

    Abstract: The larva and female of Polypedilum (Probolum) bullum Zhang Wang associated with morphological ...

    Abstract The larva and female of Polypedilum (Probolum) bullum Zhang Wang associated with morphological characteristics and DNA barcodes are described and illustrated for the first time. The female is characteristic with developed dorsomesal lobe and ventrolateral lobe both densely covered with apical setae, ventrolateral lobe partially covered by dorsomesal lobe. The larva is distinguished by the shape of mentum, pecten epipharyngis, labral SI and labral SII.
    MeSH term(s) Animals ; Chironomidae ; DNA Barcoding, Taxonomic ; Female ; Larva
    Language English
    Publishing date 2020-12-02
    Publishing country New Zealand
    Document type Journal Article
    ISSN 1175-5334
    ISSN (online) 1175-5334
    DOI 10.11646/zootaxa.4890.2.6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model

    Wang, Yong / Zhang, Guang J. / Xie, Shaocheng / Lin, Wuyin / Craig, George C. / Tang, Qi / Ma, Hsi-Yen

    eISSN: 1991-9603

    2021  

    Abstract: A stochastic deep convection parameterization is implemented into the US Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1.0 (EAMv1). This study evaluates its performance in simulating precipitation. Compared ...

    Abstract A stochastic deep convection parameterization is implemented into the US Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1.0 (EAMv1). This study evaluates its performance in simulating precipitation. Compared to the default model, the probability distribution function (PDF) of rainfall intensity in the new simulation is greatly improved. The well-known problem of “too much light rain and too little heavy rain” is alleviated, especially over the tropics. As a result, the contribution from different rain rates to the total precipitation amount is shifted toward heavier rain. The less frequent occurrence of convection contributes to suppressed light rain, while more intense large-scale and convective precipitation contributes to enhanced heavy total rain. The synoptic and intraseasonal variabilities of precipitation are enhanced as well to be closer to observations. The sensitivity of the rainfall intensity PDF to the model vertical resolution is examined. The relationship between precipitation and dilute convective available potential energy in the stochastic simulation agrees better with that in the Atmospheric Radiation Measurement (ARM) observations compared with the standard model simulation. The annual mean precipitation is largely unchanged with the use of the stochastic scheme except over the tropical western Pacific, where a moderate increase in precipitation represents a slight improvement. The responses of precipitation and its extremes to climate warming are similar with or without the stochastic deep convection scheme.
    Subject code 910
    Language English
    Publishing date 2021-03-18
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Comparative transcriptome analysis of differentially expressed genes in Bradysia odoriphaga Yang et Zhang (Diptera: Sciaridae) at different acute stress temperatures.

    Cheng, Jiaxu / Su, Qi / Xia, Jixing / Yang, Zezhong / Shi, Caihua / Wang, Shaoli / Wu, Qingjun / Li, Chuanren / Zhang, Youjun

    Genomics

    2020  Volume 112, Issue 5, Page(s) 3739–3750

    Abstract: The gnat, Bradysia odoriphaga Yang et Zhang, is an important underground pest in Asia. B ...

    Abstract The gnat, Bradysia odoriphaga Yang et Zhang, is an important underground pest in Asia. B. odoriphaga differ in heat and cold tolerance and exhibit quite different developmental strategies. To understand the underlying mechanisms, we sequenced and compared the transcriptome of B. odoriphaga under 40 °C (a stressful high temperature), 25 °C, and 4 °C (a stressful low temperature) for 1 h. We found that metabolism- and ribosome-related genes were modulated. In high temperature (40 °C), heat shock protein (HSP) genes, detoxication genes, metabolism genes, protein turnover genes, and stress signal transduction genes were differentially expressed. In low temperature (4 °C), genes related with heat shock protein (HSP) and detoxication were differentially expressed. Our study increases our understanding of the complex molecular mechanisms involved in the responses of B. odoriphaga to acute temperature stress and provides a potential strategy for pest management.
    MeSH term(s) Animals ; Diptera/genetics ; Diptera/physiology ; Gene Expression Profiling ; Heat-Shock Proteins/genetics ; Stress, Physiological ; Temperature
    Chemical Substances Heat-Shock Proteins
    Language English
    Publishing date 2020-04-28
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 356334-0
    ISSN 1089-8646 ; 0888-7543
    ISSN (online) 1089-8646
    ISSN 0888-7543
    DOI 10.1016/j.ygeno.2020.04.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Effects of Coupling a Stochastic Convective Parameterization with Zhang-McFarlane Scheme on Precipitation Simulation in the DOE E3SMv1 Atmosphere Model

    Wang, Yong / Zhang, Guang J. / Xie, Shaocheng / Lin, Wuyin / Craig, George C. / Tang, Qi / Ma, Hsi-Yen

    eISSN: 1991-9603

    2020  

    Abstract: A stochastic deep convection parameterization is implemented into the U.S. Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1). This study evaluates its performance on the precipitation simulation. ... ...

    Abstract A stochastic deep convection parameterization is implemented into the U.S. Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1). This study evaluates its performance on the precipitation simulation. Compared to the default model, the probability distribution function (PDF) of rainfall intensity in the new simulation is greatly improved. Especially, the well-known problem of <q>too much light rain and too little heavy rain</q> is alleviated over the tropics. As a result, the contribution from different rain rates to the total precipitation amount is shifted toward heavier rain. The less frequent occurrence of convection contributes to the suppressed light rain, while both more intense large-scale and convective precipitation contribute to the enhanced heavy total rain. The synoptic and intraseasonal variabilities of precipitation are enhanced as well to be closer to observations. A sensitivity of the rainfall intensity PDF to the model vertical resolution is identified and explained in terms of the relationships between convective precipitation and convective available potential energy (CAPE) and between large-scale precipitation and resolved-scale upward moisture flux. The annual mean precipitation is largely unchanged with the use of the stochastic scheme except over the tropical western Pacific, where a moderate increase in precipitation represents a slight improvement. The responses of precipitation and its extremes to climate warming are similar with or without the stochastic deep convection scheme.
    Subject code 910
    Language English
    Publishing date 2020-09-29
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Using TCM to treat gynaecological disorders in accordance with the tradition and methods of Zhang Zhongjing

    Qi, Zhang

    Chinesische Medizin

    2019  Volume 34, Issue 1, Page(s) 30

    Language German ; English
    Document type Article
    ZDB-ID 632928-7
    ISSN 0930-2786
    Database Current Contents Medicine

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  9. Article: Correction for Zhang et al., "Complete Genome Sequence of Porcine Deltacoronavirus Strain CH/JXJGS01/2016, Isolated in Jiangxi Province, China, 2016".

    Zhang, Min / Peng, Qi / Ye, Yu / Gong, Wang / Guo, Nannan / Zhang, Fanfan / Li, Anqi / Zhou, Xingrong / Huang, Dongyan / Song, Deping / Tang, Yuxin

    Genome announcements

    2017  Volume 5, Issue 39

    Keywords covid19
    Language English
    Publishing date 2017-09-28
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ZDB-ID 2704277-7
    ISSN 2169-8287
    ISSN 2169-8287
    DOI 10.1128/genomeA.01075-17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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