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  1. Article ; Online: Synergic effect of CaI

    Tu, Tran Anh / Toan, Tran Viet / Anh, Luu Tuan / Thang, Le Van / Phuc, Nguyen Huu Huy

    RSC advances

    2024  Volume 14, Issue 9, Page(s) 5764–5770

    Abstract: ... ...

    Abstract Li
    Language English
    Publishing date 2024-02-14
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra00442f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Risk Factors for Early Childhood Caries: An Umbrella Review.

    Thang Le, Van Nhat / Kim, Jae-Gon / Yang, Yeon-Mi / Lee, Dae-Woo

    Pediatric dentistry

    2021  Volume 43, Issue 3, Page(s) 176–194

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Child, Preschool ; Dental Caries ; Dental Caries Susceptibility ; Female ; Humans ; Infant, Newborn ; Pregnancy ; Premature Birth ; Risk Factors ; Streptococcus mutans
    Language English
    Publishing date 2021-06-25
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 604709-9
    ISSN 1942-5473 ; 0164-1263
    ISSN (online) 1942-5473
    ISSN 0164-1263
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Quantifying biomass and canopy cover of submerged aquatic vegetation on an offshore island

    Ni, Tran Ngoc Khanh / Thang, Le Van / Chi, Le Thi Tinh / Tuan, Le Cong / Hang, Hoang Thi My / Uyen, Nguyen Tu / Binh, Ngo Huu / Jamet, Cédric / Tin, Hoang Cong

    Regional Studies in Marine Science. 2023 Dec., v. 66 p.103117-

    2023  

    Abstract: The coverage and biomass of submerged aquatic vegetation (SAV) are vital characteristics of marine resource management and development. However, using in situ measurements to assess the distribution and biomass of SAV is challenging because SAV ... ...

    Abstract The coverage and biomass of submerged aquatic vegetation (SAV) are vital characteristics of marine resource management and development. However, using in situ measurements to assess the distribution and biomass of SAV is challenging because SAV distribution varies with biomass, substrate type, and depth, making it difficult to monitor. Satellite remote sensing is an advanced tool that can tackle this problem. In this study, several techniques, such as atmospheric correction, water column correction, and supervised classification, were integrated with Landsat-8 images to map SAV distribution on an offshore island in Viet Nam, Ly Son island. The substrate-classifying result had high accuracy (OA = 92.6%, Ҡ = 0.9). The coastal, blue, and green bands of Landsat-8 were used to estimate the SAV biomass using a polynomial regression (RMSE =±1440.6 g fresh m−2, R2=0.71). The results showed that the total fresh biomass of SAV in Ly Son island is 14551.04 tonnes, with a corresponding area of 332.1 hectares, equivalent to an average biomass of 4381.5 ± 1440.6 g fresh m−2. The distribution and biomass maps of SAV produced in this study could be used as input to measure the attributes of SAV biodiversity, contributing more effectively to monitoring marine ecosystems in Viet Nam.
    Keywords Landsat ; biodiversity ; biomass ; canopy ; marine resources ; marine science ; regression analysis ; resource management ; submerged aquatic plants ; Vietnam ; Submerged aquatic vegetation ; Canopy cover ; Remote sensing
    Language English
    Dates of publication 2023-12
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ISSN 2352-4855
    DOI 10.1016/j.rsma.2023.103117
    Database NAL-Catalogue (AGRICOLA)

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