Showing 42,541 - 42,560 results of 43,028 for search '(( 5 ((mean decrease) OR (point decrease)) ) OR ( 100 ((we decrease) OR (a decrease)) ))', query time: 1.39s Refine Results
  1. 42541
  2. 42542
  3. 42543

    Performances of the ndBMI by using a data set generated from a Gamma Interval process with different values of the shape parameter k. by Alessandro Vato (149939)

    Published 2014
    “…We ran the interface using the Gaussian (A) and Dipole (C) force fields with the Multiple-points algorithm. (B, D) Average within-trajectory position error across the three different conditions shows how the error decreases by increasing the regularity of the spiking of the M1 neurons. …”
  4. 42544

    Genetic Polymorphism of Cytochrome P450 4F2, Vitamin E Level and Histological Response in Adults and Children with Nonalcoholic Fatty Liver Disease Who Participated in PIVENS and T... by Shaminie Athinarayanan (554806)

    Published 2014
    “…Among those receiving Vit E treatment, CYP4F2 V433M genotype was associated with significantly decreased plasma α-tocopherol levels at w48 (p = 0.003 for PIVENS and p = 0.026 for TONIC) but not at w96. …”
  5. 42545
  6. 42546

    Table_3_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  7. 42547

    Image_2_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.tif by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  8. 42548

    Table_1_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  9. 42549

    Table_4_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  10. 42550

    Image_1_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.tif by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  11. 42551

    Table_2_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

    Published 2019
    “…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”
  12. 42552
  13. 42553

    Physical-hydraulic soil attributes in an integrated production system with different “paricá” forest component arrangements by Wellington de Azambuja Magalhães (5254961)

    Published 2018
    “…Soil was collected from five sampling points considering the distances from the tree lines. …”
  14. 42554
  15. 42555

    Table_1_Antimicrobial Resistance Pilot Surveillance of Pigs and Chickens in Vietnam, 2017–2019.XLSX by C. V. Tuat (11098677)

    Published 2021
    “…We conducted a pilot surveillance programme in five provinces of Vietnam, two in the south and three in the north, to identify antimicrobial resistance (AMR) in rectal swab samples from pigs and fecal samples from chickens at slaughter points during three different points in time from 2017 to 2019. …”
  16. 42556
  17. 42557

    <i>Lp</i> knockdown significantly impairs oogenesis and affects Vg localization. by Iryna Stryapunina (17867390)

    Published 2024
    “…(C) Vg is persistently detectable in the fat body of Lp-depleted females and is decreased in the ovary at 48h PBM; samples of five tissues, representative blots (three biological replicates). …”
  18. 42558
  19. 42559

    DataSheet_1_Metatranscriptomic assessment of diarrhoeic faeces reveals diverse RNA viruses in rotavirus group A infected piglets and calves from India.pdf by Pradeep Sawant (17294875)

    Published 2023
    “…In the piglet, AstVs of PAstV2 (MAstV-26) and PAstV4 (MAstV-31) lineages were predominant, followed by porcine RVA, EVG, PSV, Aichivirus C, teschovirus (PTV-17) in decreasing order of sequence reads. …”
  20. 42560

    DataSheet_2_Metatranscriptomic assessment of diarrhoeic faeces reveals diverse RNA viruses in rotavirus group A infected piglets and calves from India.pdf by Pradeep Sawant (17294875)

    Published 2023
    “…In the piglet, AstVs of PAstV2 (MAstV-26) and PAstV4 (MAstV-31) lineages were predominant, followed by porcine RVA, EVG, PSV, Aichivirus C, teschovirus (PTV-17) in decreasing order of sequence reads. …”