Showing 15,221 - 15,240 results of 27,266 for search '(( 5 point decrease ) OR ( 100 ((ng decrease) OR (((we decrease) OR (a decrease)))) ))', query time: 0.91s Refine Results
  1. 15221

    Image2_Total flavonoids extracted from Penthorum chinense Pursh mitigates CCl4-induced hepatic fibrosis in rats via inactivation of TLR4-MyD88-mediated NF-κB pathways and regulatio... by Sujuan Wang (1865149)

    Published 2023
    “…Subsequently, rats were randomly assigned to a control group (Control), a carbon tetrachloride (CCl<sub>4</sub>)-induced hepatic fibrosis model group (Model), a positive control group [0.2 mg/(kg∙day)] of Colchicine), and three TFPCP treatment groups [50, 100, and 150 mg/(kg∙day)]. …”
  2. 15222

    Overproduction of ClpX delays growth and cell division of <i>M. tuberculosis</i>. by Renata Dziedzic (246221)

    Published 2010
    “…<i>M. tuberculosis</i> strains with elevated (ClpX) or decreased ClpX levels (asClpX) were grown in broth in the presence of 100 ng/ml anhydrotetracycline. …”
  3. 15223

    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). …”
  4. 15224

    Adult RGC puromycin concentration-response curve after 7 DIV. by Yong H. Park (9739893)

    Published 2020
    “…<p>Varying treatment concentrations of puromycin (1, 10, 100, 1,000, 10,000ng/mL) decreased RGC viability in a concentration-dependent manner. …”
  5. 15225

    TGFβ signaling promotes NDR1 turnover. by Isabelle Pot (427025)

    Published 2013
    “…TGFβ treatment decreased the protein abundance of NDR1 in NMuMG cells. …”
  6. 15226

    Other glycines substitutions that destabilize BH4-Bcl-2’s by Giovanni Monaco (452223)

    Published 2013
    “…Both mutant peptides showed a relative decrease in α-helical conformation as assessed by spectra analysis with the CONTIN/LL deconvolution method (see provided change in α-helical percentage for each condition. …”
  7. 15227

    Therapeutic Non-Toxic Doses of TNF Induce Significant Regression in TNFR2-p75 Knockdown Lewis Lung Carcinoma Tumor Implants by Sharath P. Sasi (541865)

    Published 2014
    “…<div><p>Tumor necrosis factor-alpha (TNF) binds to two receptors: TNFR1/p55-cytotoxic and TNFR2/p75-pro-survival. We have shown that tumor growth in p75 knockout (KO) mice was decreased more than 2-fold in Lewis lung carcinoma (LLCs). …”
  8. 15228

    Endogenous SIRT1 regulates macrophage polarization <i>in vitro</i>. by Zhenggang Yang (120148)

    Published 2012
    “…BMDMs from MSKO or fl/fl mice were treated with IFN-γ (100 u/ml) plus LPS (5 ng/ml) for 24 hours in (B) or treated with IL-4 (10 ng/ml) for 48 hours in (C). …”
  9. 15229

    Effect of apigenin intake on NF-κB activation in the dorsolateral prostate of TRAMP mice. by Sanjeev Shukla (106046)

    Published 2015
    “…A significant decrease in NF-κB/p65 and NF-κB/p50 is observed after apigenin intake. …”
  10. 15230

    Simulation of hypGOI expression study in VK2/E6E7 cells treated with <i>Lactobacillus acidophilus</i> NCFM. by Annette V. Jacobsen (677206)

    Published 2014
    “…The most stable gene assessed (<i>RPLP0</i>) was used as the standard for the target fold changes, which were set at two-fold decrease (A), two-fold increase (B), five-fold decrease (C), and five-fold increase (D). …”
  11. 15231

    Simulation of hypGOI expression study in HT-29 cells treated with <i>Lactobacillus acidophilus</i> NCFM. by Annette V. Jacobsen (677206)

    Published 2014
    “…The most stable gene assessed (<i>PGK1</i>) was used as the standard for the target fold changes, which were set at two-fold decrease (A), two-fold increase (B), five-fold decrease (C), and five-fold increase (D). …”
  12. 15232

    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. …”
  13. 15233

    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. 15234

    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. 15235

    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. 15236

    Effect of Sonication Time on Cell Integrity and DNA Recovery from Human VEC. by Pamela D. Schoppee Bortz (199468)

    Published 2011
    “…Samples were viewed with phase-contrast light microscopy; images were captured using QCapture Pro51 imaging software (Magnification: 100X). DNA was extracted via PCIA; concentrations were determined using a NanoDrop then graphed as a percentage of the total recovered per sonication time point (<b>B</b>). …”
  17. 15237

    Imaging of Tryptophan Uptake and Exchange with FLIPW-CTYT in Human Oral Carcinoma KB Cells by Thijs Kaper (34812)

    Published 2007
    “…<p>(A) Perfusion of KB cells with various concentrations l-tryptophan (L-Trp) and 100 μM l-histidine (L-His) in Tyrode's buffer. …”
  18. 15238

    GSNO alters human fibrin fiber density and fiber diameter. by Ryon M. Bateman (141170)

    Published 2012
    “…Panel C contained abnormal fibrin clusters with numerous thin diameter fibers protruding from a high intensity core. They decreased the average fiber diameter and shifted the expected density-diameter relationship panel F, point C (2.5 mM GSNO). …”
  19. 15239

    NUP-1 is necessary for cell growth and maintenance of nuclear architecture. by Kelly N. DuBois (176072)

    Published 2012
    “…Bar: 5 µm. (D) Nuclei with abnormal extensions (blebbing) and with diffuse boundaries were examined over a time course of NUP-1 RNAi induction in BSF cells. 200 cells were scored for each time point. …”
  20. 15240

    DataSheet_1_Growth and fatty acid distribution over lipid classes in Nannochloropsis oceanica acclimated to different temperatures.docx by Narcís Ferrer-Ledo (14596664)

    Published 2023
    “…Acclimation to low temperatures triggered a decrease in absorption cross section and photosynthesis rates with a tipping point at 17°C. …”