Showing 101,641 - 101,660 results of 152,650 for search '(( a we decrease ) OR ( 5 ((step decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.29s Refine Results
  1. 101641

    Effect of replacing Tifton Hay with Guandu Hay on intake, digestibility and ingestive behavior of dairy goats by Priscila Bernardo de Andrade (10414754)

    Published 2021
    “…The purpose was to evaluate the effect of replacement of Tifton 85 hay with Guandu hay on the intake, digestibility and ingestive behavior of dairy goats. Five Saanen goats with average milk production of 2.26 ± 0.10 kg d-1, around 123 ± 4 days of lactation were assigned to a 5 x 5 Latin square design. …”
  2. 101642

    Ethanolic extract of Origanum syriacum L. leaves exhibits potent anti-breast cancer potential and robust antioxidant properties by Mesmar, Joelle

    Published 2022
    “…Non-cytotoxic concentrations of OSEE attenuated cell proliferation and induced G0/G1 cell cycle arrest, which was associated with phosphorylation of p38 MAPK, an increase in the levels of tumor suppressor protein p21, and a decrease of proliferation marker protein Ki67. …”
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  3. 101643

    Host translation initiation and ribosome networks suppress <i>Wolbachia</i> levels. by Yolande Grobler (5959106)

    Published 2018
    “…Thus, we would expect that if knockdown of a host gene results in slowed cell proliferation then the resulting increase in <i>Wolbachia</i> would be a two-fold increase at most. …”
  4. 101644

    Modelling local immune dynamics during HPV infections. by Nicolas Tessandier (20355027)

    Published 2025
    “…(B) Illustration of the additional steps for the FCM model. We consider the same two virus genotypes <i>A</i> and <i>B</i> and two hypothetical cell populations: 1, whose trajectory computation is illustrated in panel A, and 2, generated in the same way, with the same <i>t</i><sub>start</sub>, and <i>t</i><sub>clear</sub>, but different <i>ψ</i>s. …”
  5. 101645

    DataSheet_1_Associations of chest X-ray trajectories, smoking, and the risk of lung cancer in two population-based cohort studies.docx by Ya Liu (205636)

    Published 2023
    “…However, the associations of CXR trajectories, smoking and LC risk remain unknown.</p>Methods<p>A total of 52,486 participants from the PLCO and 22,194 participants from the NLST were included. …”
  6. 101646

    Feedback patterns of avian longitudinal-experimental immune responses against West Nile Virus. by Ariel L. Rivas (155906)

    Published 2013
    “…The 3D relationship that included the heterophil (N) %, the ratio of N per lymphocyte (N/L), and the mononuclear cell/N (macrophage plus lymphocyte/N or MC/N) ratio showed three major data inflections: 1) a double 90-degree inflection was observed between pre-inoculation (0 dpi) and one day post-inoculation (1 dpi) data points (green arrow), indicating that the N/L ratio increased within a 24-hour period, and that high N/L observations were D+ (red symbols); 2) at, approximately, 5 dpi, a second data inflection was observed (red arrow), which was associated with high MC/N and low N/L values; and 3) soon after 5 dpi, the third data inflection took place, indicating the beginning of the return to the steady state phase (blue arrow). …”
  7. 101647

    Glucose metabolism defects in <i>pex</i> mutant flies. by Michael F. Wangler (544124)

    Published 2017
    “…Glycogen intermediates are also reduced in the <i>pex</i> mutant flies (with the exception of maltohexaose in the <i>pex16</i> mutants). A number of pentose phosphate intermediates such as ribulose 5- phosphate, xylulose 5-phosphate and mannose 6-phosphate are also reduced. …”
  8. 101648

    Figure 2. SOX15 depletion by AID. by Merrick Pierson Smela (7036586)

    Published 2019
    “…However, this only causes a slight decrease in the fraction of AP+/NANOS3+ hPGCLCs. …”
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  10. 101650

    Perturbation of <i>Gata1</i> regulatory dynamics impacts frequency of commitment <i>in silico</i> and <i>in vitro</i>. by Jose Teles (5655964)

    Published 2013
    “…High probability of commitment peaks are more frequent than in wild type simulations (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003197#pcbi-1003197-g005" target="_blank">Figure 5A</a>). …”
  11. 101651

    Network pharmacology-based screening of active constituents of <i>Avicennia marina</i> and their clinical biochemistry related mechanism against breast cancer by Faez Falah Alshehri (15191514)

    Published 2023
    “…Additionally, a molecular docking study demonstrates that active drugs have a higher affinity for the target that may be used to decrease breast cancer. …”
  12. 101652

    p62 levels in Atg mutants, p62 RNAi and p62 overexpression cells. by Karolina Pircs (139061)

    Published 2012
    “…Scalebar in panel B equals 30 µm for panels B–E. <i>Genotypes are: (A) lane 1: w [1118], lane 2: Atg7[d77]/Atg7[d14], lane 3: Atg8a[d4], lane 4: UbiGal4/+; p62[HMS00551]/+, lane 5: UbiGal4/+; p62[HMS00938]/+, lane 6: w [1118], lane 7: Atg8a[d4], lane 8: cgGal4/UAS-p62-GFP; (B) hs-Flp; UAS-LampGFP/p62[KK108193]; Act>CD2>Gal4, UAS-Dcr2/+; (C) hs-Flp; UAS-LampGFP/+; Act>CD2>Gal4, UAS-Dcr2/p62[HMS00551]; (D) hs-Flp; UAS-LampGFP/+; Act>CD2>Gal4, UAS-Dcr2/p62[HMS00938]; (E) hsFlp; UAS-p62-GFP/+; Act>CD2>Gal4,UAS-Dcr2/+.…”
  13. 101653

    Gene Co-Expression Modules as Clinically Relevant Hallmarks of Breast Cancer Diversity by Denise M. Wolf (272435)

    Published 2014
    “…To find gene expression modules active in breast cancer subpopulations, we assembled 72 breast cancer-related gene expression datasets containing ∼5,700 samples altogether. …”
  14. 101654

    Charge and Exciton Transfer Simulations Using Machine-Learned Hamiltonians by Mila Krämer (8991095)

    Published 2020
    “…Quantum-mechanical simulations of charge and exciton transfer in molecular organic materials are a key method to increase our understanding of organic semiconductors. …”
  15. 101655

    Charge and Exciton Transfer Simulations Using Machine-Learned Hamiltonians by Mila Krämer (8991095)

    Published 2020
    “…Quantum-mechanical simulations of charge and exciton transfer in molecular organic materials are a key method to increase our understanding of organic semiconductors. …”
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