Showing 46,501 - 46,520 results of 48,538 for search '(( a ((((laser decrease) OR (mean decrease))) OR (linear decrease)) ) OR ( a largest decrease ))', query time: 0.87s Refine Results
  1. 46501

    Influence of Nitrogen Fertility Practices on Hop Cone Quality by Anne E. Iskra (6823982)

    Published 2019
    “…However, when data were aggregated over years and analyzed using a mixed effect model, α-acids, β-acids, and total oil volume decreased linearly with increasing nitrogen rate; while cone color, expressed as the degree of greenness of cones, and nitrate content of cones increased linearly with nitrogen rate. …”
  2. 46502

    Effects of sowing depth and inoculation with Pseudomonas fluorescens on the initial growth of Urochloa brizantha (syn Brachiaria brizantha ) cv. Marandú by Victória de Lima MARTINS (12830791)

    Published 2022
    “…The germination and emergence percentages decreased linearly (P <0.05) as the SD increased. No plant emergence was observed at and at 12 cm depth. …”
  3. 46503

    Data_Sheet_1_2-Hydroxy-4-(Methylthio) Butanoic Acid Isopropyl Ester Supplementation Altered Ruminal and Cecal Bacterial Composition and Improved Growth Performance of Finishing Bee... by Xiaoli Qin (30441)

    Published 2022
    “…The concentrations of ammonia–nitrogen (NH<sub>3</sub>-N), propionate, isobutyrate, butyrate, isovalerate, valerate, and total volatile fatty acid (VFA) were linearly decreased in the cecum (P < 0.05). The results of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) showed that the abundance of most pathways with a significant difference was higher in the rumen and lower in the cecum in the H<sub>30</sub> group compared to the H<sub>0</sub> group, and those pathways were mainly related to the metabolism of amino acids, carbohydrates, and lipids. …”
  4. 46504

    Validation of E. coli Signaling Network Model by Burton W Andrews (274358)

    Published 2013
    “…For comparison with experimental data, activity from the model is converted to the probability of CCW flagella rotation by means of a Hill function (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.0020154#s4" target="_blank">Materials and Methods</a>). …”
  5. 46505

    The different ways the ellipses' properties are modified during the optimization search process. by Luana Micallef (599938)

    Published 2014
    “…(B) A label <i>+pαβ</i> means that that semi-axis was increased by the <i>pαβ</i> percentage, while -<i>pαβ</i> means that that semi-axis was decreased by the <i>pαβ</i> percentage. …”
  6. 46506
  7. 46507

    Restoring normal stepping from steady state (standing still). by Tibor Istvan Toth (482706)

    Published 2013
    “…The recruitment plays a crucial part in the restoration process. In case A, the recruitment of the fast fibres occurs very fast (instantaneously), while in the cases B and C, it does so linearly over a time interval of 3 s. …”
  8. 46508

    Photonic Rubber Sheets with Tunable Color by Elastic Deformation by Hiroshi Fudouzi (2653102)

    Published 2006
    “…For example, the peak of reflection was tuned from 589 to 563 nm as a function of sheet elongation. The peak position decreased linearly with deformation when the deformation was within 20% of its elongation. …”
  9. 46509

    Soil properties and cowpea yield after six years of consecutive amendment of composted tannery sludge by Ademir Sergio Ferreira de Araújo (10442058)

    Published 2022
    “…The soil bulk density decreased linearly while the aggregate stability index increased after compost amendment. …”
  10. 46510

    Image10_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  11. 46511

    Image2_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.JPEG by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  12. 46512

    Image14_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  13. 46513

    Image11_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  14. 46514

    Image3_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.JPEG by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  15. 46515

    DataSheet1_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.docx by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  16. 46516

    Image5_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  17. 46517

    Image8_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  18. 46518

    Image1_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  19. 46519

    Image6_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”
  20. 46520

    Image7_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

    Published 2022
    “…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”