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  1. Article ; Online: Microbiological quality and safety of fresh mushroom products at retail level in Korea.

    Meng, Boyang / Jang, A-Ra / Song, Hyunji / Lee, Sun-Young

    Food science and biotechnology

    2023  Volume 33, Issue 5, Page(s) 1261–1268

    Abstract: Several investigations and recalls have demonstrated ... ...

    Abstract Several investigations and recalls have demonstrated that
    Language English
    Publishing date 2023-07-29
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2000008-X
    ISSN 2092-6456 ; 1226-7708
    ISSN (online) 2092-6456
    ISSN 1226-7708
    DOI 10.1007/s10068-023-01385-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 7438: Show issues

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  2. Article ; Online: A half jaw panoramic stitching method of intraoral endoscopy images based on dental arch arrangement.

    Ma, Tian / Meng, Boyang / Yang, Jiayi / Gou, Nana / Shi, Weilu

    Mathematical biosciences and engineering : MBE

    2022  Volume 21, Issue 1, Page(s) 494–522

    Abstract: To address the challenges of repetitive and low-texture features in intraoral endoscopic images, a novel methodology for stitching panoramic half jaw images of the oral cavity is proposed. Initially, an enhanced self-attention mechanism guided by Time- ... ...

    Abstract To address the challenges of repetitive and low-texture features in intraoral endoscopic images, a novel methodology for stitching panoramic half jaw images of the oral cavity is proposed. Initially, an enhanced self-attention mechanism guided by Time-Weighting concepts is employed to augment the clustering potential of feature points, thereby increasing the number of matched features. Subsequently, a combination of the Sinkhorn algorithm and Random Sample Consensus (RANSAC) is utilized to maximize the count of matched feature pairs, accurately remove outliers and minimize error. Last, to address the unique spatial alignment among intraoral endoscopic images, a wavelet transform and weighted fusion algorithm based on dental arch arrangement in intraoral endoscopic images have been developed, specifically for use in the fusion stage of intraoral endoscopic images. This enables the local oral images to be precisely positioned along the dental arch, and seamless stitching is achieved through wavelet transformation and a gradual weighted fusion technique. Experimental results demonstrate that this method yields promising outcomes in panoramic stitching tasks for intraoral endoscopic images, achieving a matching accuracy of 84.6% and a recall rate of 78.4% in a dataset with an average overlap of 35%. A novel solution for panoramic stitching of intraoral endoscopic images is provided by this method.
    MeSH term(s) Dental Arch ; Endoscopy ; Algorithms ; Research Design
    Language English
    Publishing date 2022-12-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2024022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: In Situ Visualization of Concentration Polarization during Membrane Ultrafiltration Using Microscopic Laser-Induced Fluorescence.

    Meng, Bo-Yang / Li, Xiao-Yan

    Environmental science & technology

    2019  Volume 53, Issue 5, Page(s) 2660–2669

    Abstract: A novel noninvasive technique-microscopic laser-induced fluorescence (micro-LIF)-has been applied to achieve in situ visualization of concentration polarization (CP) of nanoparticles during cross-flow ultrafiltration at high resolutions. The reversible, ... ...

    Abstract A novel noninvasive technique-microscopic laser-induced fluorescence (micro-LIF)-has been applied to achieve in situ visualization of concentration polarization (CP) of nanoparticles during cross-flow ultrafiltration at high resolutions. The reversible, highly dynamic nature of CP and its sensitive response to the filtration conditions were investigated and validated by direct visualization of the CP layer and the well depicted concentration profile near the membrane surface. Using micro-LIF, the formation of a CP layer during filtration and its back-diffusion after the filtration ceased can be directly observed. The dynamic variation of the CP layer with the cross-flow velocity and transmembrane pressure (TMP) change has also been demonstrated. The results showed that CP reached the steady state approximately 1 min after the filtration condition change. A higher cross-flow velocity and/or a lower TMP decrease the CP concentration and thickness. Further quantitative analysis of the filtration test results using the film theory model helps to obtain the particle concentration at the membrane surface and the thickness of the CP layer (30-50 μm). Accordingly, the nature of CP dynamics was characterized and the deficiency of the traditional CP model was explored.
    MeSH term(s) Diffusion ; Filtration ; Membranes, Artificial ; Pressure ; Ultrafiltration
    Chemical Substances Membranes, Artificial
    Language English
    Publishing date 2019-02-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.8b05741
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Dental Lesion Segmentation Using an Improved ICNet Network with Attention.

    Ma, Tian / Zhou, Xinlei / Yang, Jiayi / Meng, Boyang / Qian, Jiali / Zhang, Jiehui / Ge, Gang

    Micromachines

    2022  Volume 13, Issue 11

    Abstract: Precise segmentation of tooth lesions is critical to creation of an intelligent tooth lesion detection system. As a solution to the problem that tooth lesions are similar to normal tooth tissues and difficult to segment, an improved segmentation method ... ...

    Abstract Precise segmentation of tooth lesions is critical to creation of an intelligent tooth lesion detection system. As a solution to the problem that tooth lesions are similar to normal tooth tissues and difficult to segment, an improved segmentation method of the image cascade network (ICNet) network is proposed to segment various lesion types, such as calculus, gingivitis, and tartar. First, the ICNet network model is used to achieve real-time segmentation of lesions. Second, the Convolutional Block Attention Module (CBAM) is integrated into the ICNet network structure, and large-size convolutions in the spatial attention module are replaced with layered dilated convolutions to enhance the relevant features while suppressing useless features and solve the problem of inaccurate lesion segmentations. Finally, part of the convolution in the network model is replaced with an asymmetric convolution to reduce the calculations added by the attention module. Experimental results show that compared with Fully Convolutional Networks (FCN), U-Net, SegNet, and other segmentation algorithms, our method has a significant improvement in the segmentation effect, and the image processing frequency is higher, which satisfies the real-time requirements of tooth lesion segmentation accuracy.
    Language English
    Publishing date 2022-11-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi13111920
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The Herbal Combination of

    Feng, Guiyu / Li, Dongyang / Liu, Juan / Sun, Song / Zhang, Pingxin / Liu, Wei / Zhang, Yingkai / Meng, Boyang / Li, Jinyu / Chai, Limin

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 964559

    Abstract: Type 2 innate lymphocytes (ILC2s), promoting inflammation resolution, was a potential target for rheumatoid arthritis (RA) treatment. Our previous studies confirmed ... ...

    Abstract Type 2 innate lymphocytes (ILC2s), promoting inflammation resolution, was a potential target for rheumatoid arthritis (RA) treatment. Our previous studies confirmed that
    Language English
    Publishing date 2022-07-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.964559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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