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  1. Article: Detection of clinical

    Tang, Biao / Zhao, Haoyu / Li, Jie / Liu, Na / Huang, Yuting / Wang, Juan / Yue, Min

    Heliyon

    2024  Volume 10, Issue 8, Page(s) e29702

    Abstract: ... Serratia ... ...

    Abstract Serratia marcescens
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e29702
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Co-existence of tmexCD2-toprJ2 and bla

    Li, Jie / Long, Xiaoqian / Lin, Hui / Song, Caihong / Zhao, Guoping / Tang, Biao

    Journal of global antimicrobial resistance

    2024  Volume 37, Page(s) 1–3

    Language English
    Publishing date 2024-02-24
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2710046-7
    ISSN 2213-7173 ; 2213-7173
    ISSN (online) 2213-7173
    ISSN 2213-7173
    DOI 10.1016/j.jgar.2024.02.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Gong yuan gan zhi tui suan biao

    Tang, You'en

    1961  

    Author's details Tang you en bian
    Keywords Chronology, Chinese ; China
    Language Chinese
    Size 45 p, tables, 27 cm
    Publisher Wen wu chu ban she
    Publishing place Bei jing
    Document type Book
    Database Former special subject collection: coastal and deep sea fishing

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  4. Article: Rest to Promote Learning: A Brain Default Mode Network Perspective.

    Luo, Wei / Liu, Biao / Tang, Ying / Huang, Jingwen / Wu, Ji

    Behavioral sciences (Basel, Switzerland)

    2024  Volume 14, Issue 4

    Abstract: The brain often switches freely between focused attention and divergent thinking, and the Default Mode Network (DMN) is activated during brain rest. Since its discovery, the DMN, together with its function and characteristics, indicates that learning ... ...

    Abstract The brain often switches freely between focused attention and divergent thinking, and the Default Mode Network (DMN) is activated during brain rest. Since its discovery, the DMN, together with its function and characteristics, indicates that learning does not stop when the brain "rests". Therefore, DMN plays an important role in learning. Neural activities such as beta wave rhythm regulation, "subconscious" divergence thinking mode initiation, hippocampal function, and neural replay occur during default mode, all of which explains that "rest" promotes learning. This paper summarized the function and neural mechanism of DMN in learning and proposed that the DMN plays an essential role in learning, which is that it enables rest to promote learning.
    Language English
    Publishing date 2024-04-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs14040349
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Quantum gravimetry going toward real applications.

    Zhong, Jiaqi / Tang, Biao / Chen, Xi / Zhou, Lin

    Innovation (New York, N.Y.)

    2022  Volume 3, Issue 3, Page(s) 100230

    Language English
    Publishing date 2022-03-18
    Publishing country United States
    Document type News
    ISSN 2666-6758
    ISSN (online) 2666-6758
    DOI 10.1016/j.xinn.2022.100230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Transmission dynamics informed neural network with application to COVID-19 infections.

    He, Mengqi / Tang, Biao / Xiao, Yanni / Tang, Sanyi

    Computers in biology and medicine

    2023  Volume 165, Page(s) 107431

    Abstract: Since the end of 2019 the COVID-19 repeatedly surges with most countries/territories experiencing multiple waves, and mechanism-based epidemic models played important roles in understanding the transmission mechanism of multiple epidemic waves. However, ... ...

    Abstract Since the end of 2019 the COVID-19 repeatedly surges with most countries/territories experiencing multiple waves, and mechanism-based epidemic models played important roles in understanding the transmission mechanism of multiple epidemic waves. However, capturing temporal changes of the transmissibility of COVID-19 during the multiple waves keeps ill-posed problem for traditional mechanism-based epidemic compartment models, because that the transmission rate is usually assumed to be specific piecewise functions and more parameters are added to the model once multiple epidemic waves involved, which poses a huge challenge to parameter estimation. Meanwhile, data-driven deep neural networks fail to discover the driving factors of repeated outbreaks and lack interpretability. In this study, aiming at developing a data-driven method to project time-dependent parameters but also merging the advantage of mechanism-based models, we propose a transmission dynamics informed neural network (TDINN) by encoding the SEIRD compartment model into deep neural networks. We show that the proposed TDINN algorithm performs very well when fitting the COVID-19 epidemic data with multiple waves, where the epidemics in the United States, Italy, South Africa, and Kenya, and several outbreaks the Omicron variant in China are taken as examples. In addition, the numerical simulation shows that the trained TDINN can also perform as a predictive model to capture the future development of COVID-19 epidemic. We find that the transmission rate inferred by the TDINN frequently fluctuates, and a feedback loop between the epidemic shifting and the changes of transmissibility drives the occurrence of multiple waves. We observe a long response delay to the implementation of control interventions in the four countries, while the decline of the transmission rate in the outbreaks in China usually happens once the implementation of control interventions. The further simulation show that 17 days' delay of the response to the implementation of control interventions lead to a roughly four-fold increase in daily reported cases in one epidemic wave in Italy, which suggest that a rapid response to policies that strengthen control interventions can be effective in flattening the epidemic curve or avoiding subsequent epidemic waves. We observe that the transmission rate in the outbreaks in China is already decreasing before enhancing control interventions, providing the evidence that the increasing of the epidemics can drive self-conscious behavioural changes to protect against infections.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Neural Networks, Computer ; Computer Simulation
    Language English
    Publishing date 2023-09-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107431
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Tonsillectomy for recurrent tonsillitis: the NATTINA trial.

    Huang, Guan-Jiang / Yang, Xue-Sen / Tang, Na / Lu, Biao-Qing

    Lancet (London, England)

    2023  Volume 403, Issue 10437, Page(s) 1633–1634

    MeSH term(s) Humans ; Tonsillitis/surgery ; Tonsillectomy ; Recurrence ; Child ; Treatment Outcome
    Language English
    Publishing date 2023-12-06
    Publishing country England
    Document type Journal Article ; Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(24)00190-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: GeCl

    Zhu, Qiuyu / Tang, Yu / Yu, Biao

    Organic letters

    2022  Volume 24, Issue 20, Page(s) 3626–3630

    Abstract: A catalytic glycosyl fluoride activation system using the ... ...

    Abstract A catalytic glycosyl fluoride activation system using the GeCl
    MeSH term(s) Catalysis ; Dioxanes ; Fluorides/chemistry ; Glycosylation
    Chemical Substances Dioxanes ; Fluorides (Q80VPU408O)
    Language English
    Publishing date 2022-05-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1523-7052
    ISSN (online) 1523-7052
    DOI 10.1021/acs.orglett.2c01146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Tri(

    Zheng, Chang / Tang, Yu / Yu, Biao

    Inorganic chemistry

    2022  Volume 61, Issue 42, Page(s) 16874–16886

    Abstract: Twelve tri( ...

    Abstract Twelve tri(
    MeSH term(s) Gold/chemistry ; Ligands ; Phosphines/chemistry ; Catalysis
    Chemical Substances phosphine (FW6947296I) ; Gold (7440-57-5) ; Ligands ; Phosphines
    Language English
    Publishing date 2022-10-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1484438-2
    ISSN 1520-510X ; 0020-1669
    ISSN (online) 1520-510X
    ISSN 0020-1669
    DOI 10.1021/acs.inorgchem.2c02902
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Reductive Coupling of P(O)-H Compounds and Aldehydes for the General Synthesis of Phosphines and Phosphine Oxides.

    Wang, Jie / Xiao, Jing / Tang, Zi-Long / Lan, Dong-Hui / Han, Li-Biao

    The Journal of organic chemistry

    2024  Volume 89, Issue 7, Page(s) 5109–5117

    Abstract: A novel strategy for the selective construction of a C( ... ...

    Abstract A novel strategy for the selective construction of a C(sp
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 123490-0
    ISSN 1520-6904 ; 0022-3263
    ISSN (online) 1520-6904
    ISSN 0022-3263
    DOI 10.1021/acs.joc.3c02678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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