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  1. 21

    NÍVEL DE ATIVIDADE FÍSICA EM CRIANÇAS by Ricardo Pinho, Édio Luiz Petroski

    Published 2012-10-01
    “…Entretanto, os instrumentos que mensuram o nível de atividade física e/ou gasto energético ainda apresentam problemas, pois não existem técnicas de mensuração perfeita. …”
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  2. 22
  3. 23

    Sediment organic carbon stocks in tropical lakes and its implication for sustainable lake management by T.R. Soeprobowti, N.D. Takarina, P.S. Komala, L. Subehi, M. Wojewódka-Przybył, J. Jumari, R. Nastuti

    Published 2023-04-01
    “…Carbon per nitrogen ratio was also calculated to determine temporal changes in the sources of organic matter in the lake.FINDINGS: This study demonstrated that Maninjau Lakeside has an enormous potential sedimentary organic carbon stock range between 284.23–442.59 megagrams per carbon per hectare. The highest total sediment carbon stock was found in Duo Koto (442.59 megagrams per carbon per hectare), with the lowest in Koto Kaciak (284.23 megagrams per carbon per hectare). …”
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  4. 24

    Sediment organic carbon stocks in tropical lakes and its implication for sustainable lake management by T.R. Soeprobowti, N.D. Takarina, P.S. Komala, L. Subehi, M. Wojewódka-Przybył, J. Jumari, R. Nastuti

    Published 2023-04-01
    “…Carbon per nitrogen ratio was also calculated to determine temporal changes in the sources of organic matter in the lake.FINDINGS: This study demonstrated that Maninjau Lakeside has an enormous potential sedimentary organic carbon stock range between 284.23–442.59 megagrams per carbon per hectare. The highest total sediment carbon stock was found in Duo Koto (442.59 megagrams per carbon per hectare), with the lowest in Koto Kaciak (284.23 megagrams per carbon per hectare). …”
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  5. 25

    Set reconciliation based on counting Bloom filters by Xiao-mei TIAN, Da-fang ZHANG, Kun XIE, Can HU, Xiao-bo YANG, Chang-qiong SHI

    Published 2012-08-01
    “…A new set reconciliation algorithm was presented,which called counting-Bloom-filter based set reconciliation(CBFSR).This method represented sets S<sub>A</sub> and S<sub>B</sub> as counting Bloom filters,subtracts S<sub>A</sub>'s counting Bloom filter from S<sub>B</sub>'s counting Bloom filter,the differences denoted CBF(S<sub>B</sub>)−CBF(S<sub>A</sub>),then determined S<sub>B</sub>−S<sub>A</sub> elements in S<sub>B</sub> with CBF(S<sub>B</sub>)−CBF(S<sub>A</sub>),and finally performed union operation on S<sub>B</sub>−S<sub>A</sub> and S<sub>A</sub>.Simulation resdts show counting-Bloom-filter based set reconciliation combines the advantages of exact set reconciliation and approximate set reconciliation,besides gaining all S<sub>B</sub>−S<sub>A</sub> elements with single-round messgage exchanges,it can apply to update-intensive distributed systems because counting Bloom filters support element deletion operation.…”
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  6. 26

    Natural and anthropogenic factors controlling organic carbon storage in riverine wetlands along South Korea’s four rivers by Sang-Leen Yun, Terrence A. McCloskey, Marcelo C. L. Cohen, Kam-biu Liu, Hae-Seon Shin, Junghyung Ryu

    Published 2025-01-01
    “…Carbon stocks of 3.31 megagrams (Mg) per hectare, observed in the Dam-Yang Stream Wetland, suggest that the four major rivers collectively have the potential to store approximately 23.42 million metric tons of carbon annually, accounting for 3.9% of South Korea’s carbon budget. …”
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