Showing 13,521 - 13,540 results of 24,223 for search '(( 50 ((mean decrease) OR (nn decrease)) ) OR ( 100 ((we decrease) OR (a decrease)) ))', query time: 0.56s Refine Results
  1. 13521

    Silence of ST6GAL1 gene enhances the chemosensitivity of K562/ADR cell both in vitro and in vivo. by Hongye Ma (424073)

    Published 2014
    “…IC<sub>50</sub> represents the drug concentration producing 50% decrease of cell growth. …”
  2. 13522

    Lack of tau prevents impaired adult hippocampal progenitor cell proliferation in AICD-Tg mice. by Kaushik Ghosal (244754)

    Published 2016
    “…Compared to wild-type (left) there is a significant decrease in the number of DCX+ cells in the SGZ of AICD-Tg mice (right). …”
  3. 13523

    Dose-dependent cVA response and desensitization by prolonged stimulation in Or67d ORNs. by Shin-Ichiro Tachibana (707681)

    Published 2015
    “…(B) Representative fluorescent changes evoked by odor stimulation of various amounts of cVA (0 to 100 pg in this case) in a male fly. (C) Peak fluorescent changes in response to cVA and a live male. …”
  4. 13524

    Figure S1 - The Mu Opioid Receptor Promotes Opioid and Growth Factor-Induced Proliferation, Migration and Epithelial Mesenchymal Transition (EMT) in Human Lung Cancer by Frances E. Lennon (541593)

    Published 2014
    “…<p><b>The MOR antagonist, naltrexone, inhibits epithelial mesenchymal transition (EMT) in human lung cancer cells.</b> <b>Panel A</b>: H358 human NSCLC cells were either untreated, treated with 100 nM morphine, DAMGO, fentanyl or 100 ng/ml EGF for 96 hours with or without pretreatment of cells with the MOR antagonist, naltrexone (100 nM). …”
  5. 13525

    Involvement of mitochondrial pathway in AG–4 induced apoptosis. by Deepak Kumar (63095)

    Published 2015
    “…Results are expressed as IC<sub>50</sub> (mean ± SEM) from three independent experiments (***p<0.001, compared to only AG–4 treated cells). …”
  6. 13526

    Supplementary Material for: A New Era in the Management of Cardiorenal Syndrome: The Importance of Cardiorenal Units. by León-Román J. (20602337)

    Published 2025
    “…A total of 45 (83%) and 16 (30%) patients completed follow-up in the CRU at 6 and 12 months, respectively. The mean age was 70 years±1.6, and 65% were men. Almost 50% of patients had ischemic heart disease-related HF. …”
  7. 13527
  8. 13528

    Activity coupling between V2 and the CPu. by Anett J. Nagy (5447606)

    Published 2018
    “…<p>(A) Experimental schematics showing the simultaneous recording of the LFPs and SUA in both the V2 and the dorsomedial CPu. (B) Mean raw spectra of the V2 (left) and CPu (right) are almost identical when the animals are running in both the uniformly gray (blue lines) and the striped (red) environments (mean power spectra of <i>N</i> = 30 and 175 LFP sessions, respectively). …”
  9. 13529
  10. 13530

    Silibinin and SIL inhibit HCVpp-mediated fusion. by Jessica Wagoner (148829)

    Published 2013
    “…Fluorescent liposomes (12.5 µM final lipid concentration) were added to 20 µl of HCVpp in PBS pH 7.4 at 37°C, in the absence or presence of 5, 10 or 40 µg/ml of indicated compound, which corresponds to 6.9, 13.8 or 55 µM of SIL and 10.4, 20.7, and 82.8 µM of silibinin. After a 2 min-equilibration, lipid mixing was initiated by decreasing the pH to 5.0 with diluted HCl, and R<sub>18</sub> dequenching was recorded. …”
  11. 13531

    Influence of Steric and Dispersion Interactions on the Thermochemistry of Crowded (Fluoro)alkyl Compounds by Markus Bursch (3846760)

    Published 2023
    “…ConspectusAlkanes play a pivotal role in industrial, environmental, and biological processes. …”
  12. 13532

    Platelet thrombus formation on collagen surface in the presence of Hb. by Gowtham K. Annarapu (2622811)

    Published 2016
    “…<p><b>(A)</b> Whole blood was perfused over immobilized collagen type-1 (100 μg/mL) under shear stresses of 5 and 25 dyne/cm<sup>2</sup> in the presence of Hb. …”
  13. 13533

    Model simulations of feedback induced shift of Ca-current in wild-type and mutant zebrafish. by Lauw J. Klaassen (213346)

    Published 2011
    “…The value of was varied from 100% (A) to 10% (C) of the wild-type value <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001107#pbio.1001107-Fahrenfort1" target="_blank">[6]</a>. …”
  14. 13534

    Activation of AMPK prevented drugs-induced mitochondrial dysfunction. by Sun Woo Sophie Kang (3280878)

    Published 2016
    “…Percentages relative to respective controls were calculated. (<b>A</b>) AICAR prevented the decrease in cellular ATP in rat hepatocytes treated with acetaminophen (10mM, 24h) or diclofenac (250μM, 24h). …”
  15. 13535

    Forests to Faucets 2.0 by U.S. Forest Service (17476914)

    Published 2024
    “…As developed in Forests to Faucets (USFS 2011), the Important Areas for Surface Drinking Water (IMP) model can be broken down into two parts: IMPn = (PRn) * (Qn)Calculated using R, Updated September 2023IMP_RIMP, Important Areas for Surface Drinking Water (0-100 Quantiles)Calculated using R, Updated September 2023NON_FORESTAcres of non-forestPADUS and NLCDPRIVATE_FORESTAcres of private forestPADUS and NLCDPROTECTED_FORESTAcres of protected forest (State, Local, NGO, Permanent Easement)PADUS, NCED, and NLCDNFS_FORESTAcres of National Forest System (NFS) forestPADUS and NLCDFEDERAL_FORESTAcres of Other Federal forest (Non-NFS Federal)PADUS and NLCDPER_FORPRIPercent Private ForestCalculated using ArcGISPER_FORNFSPercent NFS ForestCalculated using ArcGISPER_FORPROPercent Protected (Other State, Local, NGO, Permanent Easement, NFS, and Federal) ForestCalculated using ArcGISWFP_HI_ACAcres with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_WFPPercent of HU 12 with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_IDRISKPercent of HU 12 that is at risk for mortality - 25% of standing live basal area greater than one inch in diameter will die over a 15- year time frame (2013 to 2027) due to insects and diseases.Krist, et Al,. 2014PERDEV_1040_45% Landuse Change 2010-2040 (low)ICLUSPERDEV_1090_45% Landuse Change 2010-2090 (low)ICLUSPERDEV_1040_85% Landuse Change 2010-2040 (high)ICLUSPERDEV_1090_85% Landuse Change 2010-2090 (high)ICLUSPER_Q40_45% Water Yield Change 2010-2040 (low) WASSI , Updated September 2023PER_Q90_45% Water Yield Change 2010-2090 (low) WASSI , Updated September 2023PER_Q40_85% Water Yield Change 2010-2040 (high) WASSI , Updated September 2023PER_Q90_85% Water Yield Change 2010-2090 (high) WASSI , Updated September 2023WFP(APCW_R * IMP_R * PER_WFP )/ 10,000Wildfire Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023IDRISK(APCW_R * IMP_R * PER_IDRISK )/ 10,000Insect & Disease Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023DEV1040_45(APCW_R * IMP_R * PERDEV_1040_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_45(APCW_R * IMP_R * PERDEV_1090_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023DEV1040_85(APCW_R * IMP_R * PERDEV_1040_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_85(APCW_R * IMP_R * PERDEV_1090_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_45-1 * (APCW_R * IMP_R * PER_Q40_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_45-1 * (APCW_R * IMP_R * PER_Q90_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_85-1 * (APCW_R * IMP_R * PER_Q40_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_85-1 * (APCW_R * IMP_R * PER_Q90_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023WFP_IMP_RWildfire Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023IDRISK_RInsect & Disease Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023RegionUS Forest Service Region numberUSFSRegionnameUS Forest Service Region nameUSFSHUC_Num_DiffThis field compares the value in column HUC12(circa 2019 wbd) with the value in HUC_12 (circa 2009 wassi)-1 = No equivalent WASSI HUC. …”
  16. 13536

    Prevalence of radiographic markers of femoroacetabular impingement in asymptomatic adults by Rodrigo Benedet Scheidt (10458805)

    Published 2021
    “…RESULTS: our sample consisted of 66% women, mean age of 50.4 years. The average alpha angle was 45.10°, SD=8.6. …”
  17. 13537
  18. 13538
  19. 13539

    YR subtype selectivity of Y<sub>4</sub>R PAMs. by Gregory Sliwoski (2832971)

    Published 2016
    “…For Y-axis values, positive modulation represents an increase in the apparent potency (pEC<sub>50</sub>) of the native agonist and negative modulation represents a decrease in the apparent potency of the native agonist. …”
  20. 13540