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  1. Article ; Online: Achieving Exceptional Thermal and Hydrolytic Resistance in Chemically Circular Polyesters via In-Chain 1,3-Cyclobutane Rings.

    Weng, Chaoqun / Ding, Zhiqiang / Qiu, Weijie / Wang, Bin / Tang, Xiaoyan

    Angewandte Chemie (International ed. in English)

    2024  , Page(s) e202401682

    Abstract: Polyesters, a highly promising class of circular polymers for achieving a closed-loop sustainable plastic economy, inherently exhibit material stability defects, especially in thermal and hydrolytic instability. Here, we introduce a class of polyesters, ... ...

    Abstract Polyesters, a highly promising class of circular polymers for achieving a closed-loop sustainable plastic economy, inherently exhibit material stability defects, especially in thermal and hydrolytic instability. Here, we introduce a class of polyesters, P(4
    Language English
    Publishing date 2024-04-08
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202401682
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection.

    Yuan, Zijian / Shao, Pengwei / Li, Jinran / Wang, Yinuo / Zhu, Zixuan / Qiu, Weijie / Chen, Buqun / Tang, Yan / Han, Aiqing

    Frontiers in neurorobotics

    2024  Volume 18, Page(s) 1355857

    Abstract: Introduction: Acupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.: ... ...

    Abstract Introduction: Acupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.
    Methods: This study introduces an advancement in the YOLOv8-pose keypoint detection algorithm, tailored for facial acupoints, and named YOLOv8-ACU. This model enhances acupoint feature extraction by integrating ECA attention, replaces the original neck module with a lighter Slim-neck module, and improves the loss function for GIoU.
    Results: The YOLOv8-ACU model achieves impressive accuracy, with an mAP@0.5 of 97.5% and an mAP@0.5-0.95 of 76.9% on our self-constructed datasets. It also marks a reduction in model parameters by 0.44M, model size by 0.82 MB, and GFLOPs by 9.3%.
    Discussion: With its enhanced recognition accuracy and efficiency, along with good generalization ability, YOLOv8-ACU provides significant reference value for facial acupoint localization and detection. This is particularly beneficial for Chinese medicine practitioners engaged in facial acupoint research and intelligent detection.
    Language English
    Publishing date 2024-02-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2453002-5
    ISSN 1662-5218
    ISSN 1662-5218
    DOI 10.3389/fnbot.2024.1355857
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Perimeter procedure to produce average equivalent area grain size.

    Qiu, Wei-Jie / Lei, Xuan-Wei / Zhang, Yu / Wu, Tong / Lai, Chao-Bin

    Ultramicroscopy

    2023  Volume 253, Page(s) 113802

    Abstract: A new method of perimeter procedure to produce average equivalent area grain size on orientation imaging microscopy (OIM) micrograph was developed. When the OIM micrograph was exported with the practical size of pixel equal to the electron backscattering ...

    Abstract A new method of perimeter procedure to produce average equivalent area grain size on orientation imaging microscopy (OIM) micrograph was developed. When the OIM micrograph was exported with the practical size of pixel equal to the electron backscattering diffraction (EBSD) step size, the expression for perimeter procedure in producing the average equivalent area radius is r¯
    Language English
    Publishing date 2023-06-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1479043-9
    ISSN 1879-2723 ; 0304-3991
    ISSN (online) 1879-2723
    ISSN 0304-3991
    DOI 10.1016/j.ultramic.2023.113802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Ultrastretchable Electrically Self-Healing Conductors Based on Silver Nanowire/Liquid Metal Microcapsule Nanocomposites.

    Lin, Yong / Fang, Ting / Bai, Chong / Sun, Yuping / Yang, Cheng / Hu, Gaohua / Guo, Haorun / Qiu, Weijie / Huang, Weixi / Wang, Lin / Tao, Zihao / Lu, Yan-Qing / Kong, Desheng

    Nano letters

    2023  Volume 23, Issue 23, Page(s) 11174–11183

    Abstract: Stretchable conductive nanocomposites are essential for deformable electronic devices. These conductors currently face significant limitations, such as insufficient deformability, significant resistance changes upon stretching, and drifted properties ... ...

    Abstract Stretchable conductive nanocomposites are essential for deformable electronic devices. These conductors currently face significant limitations, such as insufficient deformability, significant resistance changes upon stretching, and drifted properties during cyclic deformations. To tackle these challenges, we present an electrically self-healing and ultrastretchable conductor in the form of bilayer silver nanowire/liquid metal microcapsule nanocomposites. These nanocomposites utilize silver nanowires to establish their initial excellent conductivity. When the silver nanowire networks crack during stretching, the microcapsules are ruptured to release the encased liquid metal for recovering the electrical properties. This self-healing capability allows the nanocomposite to achieve ultrahigh stretchability for both uniaxial and biaxial strains, minor changes in resistance during stretching, and stable resistance after repetitive deformations. The conductors have been used to create skin-attachable electronic patches and stretchable light-emitting diode arrays with enhanced robustness. These developments provide a bioinspired strategy to enhance the performance and durability of conductive nanocomposites.
    Language English
    Publishing date 2023-12-04
    Publishing country United States
    Document type Journal Article
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.3c03670
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Sub-60 mV per decade switching in ion-gel-gated In-Sn-O transistors with a nano-thick charge trapping layer.

    Liu, Wanrong / Sun, Jia / Qiu, Weijie / Chen, Yang / Huang, Yulong / Wang, Juxiang / Yang, Junliang

    Nanoscale

    2019  Volume 11, Issue 45, Page(s) 21740–21747

    Abstract: In this paper, we present a new method for reducing the subthreshold swing (SS) of ionic-modulated oxide field-effect transistors (FETs) below 60 mV per decade. The electrical performances of ion gel-gated In-Sn-O FETs with and without a nano-thick Al2O3 ...

    Abstract In this paper, we present a new method for reducing the subthreshold swing (SS) of ionic-modulated oxide field-effect transistors (FETs) below 60 mV per decade. The electrical performances of ion gel-gated In-Sn-O FETs with and without a nano-thick Al2O3 charge trapping layer are compared and studied. A significant SS reduction in the In-Sn-O FETs is observed when naturally oxidized Al2O3 and an ion gel are used as the gate stacking dielectric layer. The back sweep SS reaches as low as ∼27 mV per decade and extends over three orders of magnitude in drain current. A theoretical explanation for these results based on energy band diagrams is presented. The proposed devices described here have the potential to open up new avenues for further development of low power electronics, as well as for energy efficient memristive devices and synaptic electronics.
    Language English
    Publishing date 2019-11-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/c9nr06641a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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