Showing 421 - 440 results of 680 for search '"compositional data"', query time: 0.21s Refine Results
  1. 421

    Assessing diets of 3-year-old children: evaluation of an FFQ. by Jarman, M, Fisk, C, Ntani, G, Crozier, SR, Godfrey, K, Inskip, H, Cooper, C, Robinson, S

    Published 2014
    “…Nutrient intakes from the FFQ and FD were estimated using UK food composition data. Diet quality was assessed from the FFQ and FD according to the child's scores for a principal component analysis-defined dietary pattern ('prudent' pattern), characterised by high consumption of fruit, vegetables, water and wholemeal cereals. …”
    Journal article
  2. 422

    Solid waste management in Asian countries: a review of solid waste minimisation (3 ' r) towards low carbon by Ali, Norizan, Ho, Chin Siong

    Published 2014
    “…Solid waste management is a global issue and major challenge facing Asian countries and neglecting its management may have negative consequences on the environment. Waste composition data proves the developed countries to have generated more recyclable materials while developing countries produce more organic and less recyclable waste such as paper, plastic and aluminium. …”
    Article
  3. 423

    A multi-generational risk assessment of Cry1F on the non-target soil organism Folsomia candida (Collembola) based on whole transcriptome profiling by Cheng-Wang Huang, Wan-Jun Chen, Xin Ke, Yunhe Li, Yun-Xia Luan

    Published 2019-05-01
    “…In addition, Cry1F did not obviously alter the expression profiles of seven sensitive biological markers. Our composite data indicates that Cry1F had no long-term harmful effects on collembolan F. candida.…”
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    Article
  4. 424

    Development of sequencing-based methodologies to distinguish viable from non-viable cells in a bovine milk matrix: A pilot study by Min Yap, Min Yap, Orla O’Sullivan, Orla O’Sullivan, Paul W. O’Toole, Paul W. O’Toole, Paul D. Cotter, Paul D. Cotter

    Published 2022-11-01
    “…Different molecular targets were the basis for variations in the results generated using different library types, while differences in the derived composition data from Oxford Nanopore Technologies-and Illumina-based sequencing likely reflect a combination of different sequencing depths, error rates and bioinformatics pipelines. …”
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    Article
  5. 425

    More Corporate Social Responsibility, Less Leverage Adjustment Speed: a Fact? by Mohammad reza Abbaszadeh, Mahmood Lari Dastebayaz, Azam Pouryousof

    Published 2023-02-01
    “…Multivariate regression model based on composite data was used to analyze the data and test the hypotheses. …”
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    Article
  6. 426
  7. 427

    SAR Multi-Angle Observation Method for Multipath Suppression in Enclosed Spaces by Yun Lin, Jiameng Zhao, Yanping Wang, Yang Li, Wenjie Shen, Zechao Bai

    Published 2024-02-01
    “…It calculates the distance of pixel intensity sequences in the composite data image from the center vector. Pixels within a specified threshold are used for imaging, and the final result is obtained. …”
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    Article
  8. 428

    Methodology and Results of Satellite Monitoring of Karenia Microalgae Blooms, That Caused the Ecological Disaster off Kamchatka Peninsula by Anatoly Alexanin, Vasilii Kachur, Anastasiya Khramtsova, Tatiana Orlova

    Published 2023-02-01
    “…The algorithm calibration of in situ species composition data made it possible to identify areas where harmful algae dominated in biomass. …”
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    Article
  9. 429

    Milk Composition and Production Efficiency within Feed-To-Yield Systems on Commercial Dairy Farms in Northern Ireland by Aimee-Louise Craig, Alan W. Gordon, Gregory Hamill, Conrad P. Ferris

    Published 2022-07-01
    “…Concentrate intakes of individual cows were either obtained from the farms or calculated, while milk yield and milk composition data were obtained from test-day milk recording. …”
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    Article
  10. 430

    Effects of Different Base Wine Volumes on Volatile Compound Profile of Distilled Merlot Wine Analyzed by Headspace Solid-Phase Microextraction Combined with Gas Chromatography-Mass... by GUO Yayun, SHAO Xuedong, ZHANG Zhengwen, LI Bo, XUE Wei, SHI Hongmei

    Published 2023-12-01
    “…In addition, statistical analysis of the volatile composition data was performed by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). …”
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    Article
  11. 431
  12. 432

    How does the consumption of processed food affect the pathogenesis of various diseases? - literature review by Paweł Smuszkiewicz-Różański, Gabriela Różańska-Smuszkiewicz, Karolina Koszyczarek, Maja Kotowska, Wiktoria Zamirska, Albin Ziemiański, Katarzyna Zięba, Anna Zygmunt

    Published 2024-02-01
    “…At the same time, consumers should become more aware of food composition data to be able to make conscious choices and countries should strive to change the food policies. …”
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    Article
  13. 433

    MH-ICP-MS Analysis of the Freshwater and Saltwater Environmental Resources of Upolu Island, Samoa by Sasan Rabieh, Odmaa Bayaraa, Emarosa Romeo, Patila Amosa, Khemet Calnek, Youssef Idaghdour, Michael A. Ochsenkühn, Shady A. Amin, Gary Goldstein, Timothy G. Bromage

    Published 2020-10-01
    “…Principal component and hierarchical clustering correlation analyses were performed on quantile normalized log transformed elemental composition data to identify groups of samples with similar characteristics and to improve the visualization of the full spectrum of elements. …”
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    Article
  14. 434

    The Effects of the COVID-19 Environments on Changes in Body Composition in Japanese Elite Fencing Athlete by Jun Yasuda, Emi Kondo, Eri Takai, Nobuhiko Eda, Yasuyuki Azuma, Keiko Motonaga, Michiko Dohi, Akiko Kamei

    Published 2021-06-01
    “…Therefore, we compared the body composition data (i.e., fat-free mass (FFM) and fat mass (FM)), of 43 Japanese elite fencers (22 men, 21 women), in September 2019 for baseline, and of 21 (12 men, 9 women) who completed the following measurements in June 2020 (POST; immediately after rescinding the emergency state) and September 2020 (POST-4M; 4-months after rescinding the emergency state). …”
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    Article
  15. 435

    Development of Selection Indices for Improvement of Seed Yield and Lipid Composition in Bambara Groundnut (<i>Vigna subterranea</i> (L.) <i>Verdc</i>.) by Razlin Azman Halimi, Carolyn A. Raymond, Bronwyn J. Barkla, Sean Mayes, Graham J. King

    Published 2021-12-01
    “…Seed lipid concentration (4.2–8.8 g/100 g) is primarily determined by the proportion of oleic acid (r<sup>2</sup> = 0.45). Yield and composition data for a subset of 40 lines were then used to test selection parameters for high yielding, high lipid breeding lines. …”
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    Article
  16. 436

    Effects of Bile Acid Supplementation on Lactation Performance, Nutrient Intake, Antioxidative Status, and Serum Biochemistry in Mid-Lactation Dairy Cows by Yuhang Chen, Cong Yuan, Tianyu Yang, Han Song, Kang Zhan, Guoqi Zhao

    Published 2024-01-01
    “…The milk yield and composition data were recorded weekly, and the dry matter intake and antioxidative blood index were analyzed on the 6th, 10th, and 14th weeks of the study. …”
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    Article
  17. 437

    Integration of Untargeted Metabolomics and Object-Oriented Data-Processing Protocols to Characterize Acerola Powder Composition as Functional Food Ingredient by Kewen Wang, Lu Mi, Xue Wang, Linyan Zhou, Zhenzhen Xu

    Published 2023-06-01
    “…Overall, our study provides novel composition data for acerola powder, shedding light on its potential as a functional food ingredient. …”
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    Article
  18. 438

    Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery by Xi Li, Lixian Zhao, Deren Li, Huimin Xu

    Published 2018-10-01
    “…In contrast, the largest Kappa Coefficient values obtained by STS method were 0.79 and 0.7512 respectively when using LJ1-01 and VIIRS data, while for SVM method the values were 0.7829 and 0.7486 when using Landsat-LJ and Landsat-VIIRS composite data respectively. The experimented results demonstrated that the utilization of nighttime light imagery can largely improve the accuracy of urban extent extraction and LJ1-01 data, with a higher resolution and more abundant spatial information, can lead to better identification results than its predecessors.…”
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    Article
  19. 439
  20. 440

    Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education by Julia Wagemann, Federico Fierli, Simone Mantovani, Stephan Siemen, Bernhard Seeger, Jörg Bendix

    Published 2022-07-01
    “…Here, we present the Learning Tool for Python (LTPy), which is a training course (based on Jupyter notebooks) on atmospheric composition data. LTPy consists of more than 70 notebooks and has taught over 1000 EO data users so far, whose feedback is overall positive. …”
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    Article