Search alternatives:
ng decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 ng » 50 mg (Expand Search), 10 ng (Expand Search), 5 ng (Expand Search)
ng decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 ng » 50 mg (Expand Search), 10 ng (Expand Search), 5 ng (Expand Search)
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11221
Activation of AMPK prevented drugs-induced mitochondrial dysfunction.
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). …”
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11222
Forests to Faucets 2.0
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. …”
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11223
Imaging of Tryptophan Uptake and Exchange with FLIPW-CTYT in Human Oral Carcinoma KB Cells
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. …”
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11224
cpFLIPPi-6.4m can report rapid changes in Pi-induced FRET <i>in vivo</i>.
Published 2015“…<p>(A) Image showing spread of the injected fluid along the intestine, visualized by injecting propidium iodide. …”
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11225
Supplementary figure 1
Published 2022“…</strong>Primary cortical neurons were incubated in Neurobasal medium containing either 25 mM (control), 50 mM, or 100 mM glucose. After 72 hours of treatment, viability showed a dose-dependent decrease as glucose concentration increased. …”
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11226
Disability worsening over two years according to domains of disability, for subjects with knee arthroplasty identified in 1999 (134 subjects) compared to the other participants (11...
Published 2013“…</p>*<p>Worsening walking-distance limitation was defined by the decrease of a class (i.e., <100, 100–300, 300–500, 500–1000) to another.…”
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11227
VCE-003 reduces the expression of inflammatory marker mRNAs in the spinal cord and of iNOS protein in BV2 cells.
Published 2014“…Proteins in lysates (30 µg) from BV2 cells stimulated with LPS (50 ng/ml) and IFNγ (100 u/ml), and pre-treated with VCE-003 (1 µM). …”
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11228
MPA and tacrolimus act differentially on the polarization of M1 and M2 macrophages.
Published 2017“…In addition, vehicle, 10 ng/ml tacrolimus, 50 ng/ml tacrolimus, 200 ng/ml tacrolimus or 10 μg/ml MPA were added to each culture condition. …”
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11229
Effect of SRp20ΔRRM expression on poliovirus yield.
Published 2011“…Cells expressing the deletion mutant, GFP-SRp20ΔRRM, displayed a two-log decrease in poliovirus yield (C). The observed decrease (∼100 fold) was consistent across three separate experiments, although overall titers for the GFP control between experiments ranged from ∼10<sup>5</sup> to ∼10<sup>7</sup> (likely due to the variability of DNA transfection efficiency). …”
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11230
The effects of the <i>p<sub>yz</sub></i> strength.
Published 2013“…<p>(A) As <i>p<sub>yz</sub></i> is decreased, periodic DNA repair-related fluctuation (<i>T</i> = 40 min and amplitude = 100 molecules/cell) is filtered less, so the p53 levels fluctuate more. …”
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11231
Synaptic potentiation reduces AP onset, threshold and AHPs.
Published 2009“…B. Example traces upon +100 pA current injection before (black) and 30 min (red) after conditioning stimulations. …”
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11232
Intravenous injection of mAb c.8B6 does not induce allodynia.
Published 2014“…<p>(A) Intraveinous injection of either 1 mg/kg (•) or 3 mg/kg (♦)of mAb c.8B6 in Sprague-Dawley rats did not result in a decrease in mechanical thresholds. …”
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11233
OUTPATIENT ANALYTIC ASSESSMENT OF ANOREXIA NERVOSA — THE IMPORTANCE OF VENOUS BLOOD GASES
Published 2020“…Respiratory acidosis was present in 91% in t1, 100% in t2 and 94% in t3. There was a significant decrease between t2 and t3 in mean pCO2 (57.2 versus 53.6 mmHg; p=0.009) and mean HCO3 (30.0 versus 28.8 mEq/L; p=0.023). …”
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11234
In vitro 14.7T MR T1-map images and the relative T1 values of SMCs incubated with MGd at various concentrations.
Published 2013“…Measurement of T1 value further confirms the findings in <b>a</b>, demonstrating a linear decrease of T1 value from 0–100 ug/mL MGd, followed by a platform pattern of T1 values from 100–150 ug/mL MGd (b).…”
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11235
Ex vivo fitness, CTL escape phenotype and sequence evolution of <i>gag</i> p24 CTL escape mutants.
Published 2009“…The standard IFN-γ Elispot assay was performed with the defined optimal epitopic peptide at the following concentrations: 0.64, 3.2, 16, 80, 400, 2,000, and 10,000 ng/ml. The effective peptide concentration that elicited 50% of the maximum T-cell response, defined as the EC50, was determined with the Sigmoidal Fit tool in the software. …”
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11236
Sequential acceptor photobleaching data.
Published 2010“…The percent decrease in YFP signal and corresponding FRET efficiency values for each of the 20 image sets were plotted and subjected to linear regression analysis to generate equations used to calculate FRET efficiency values when YFP is 100% bleached (lower graph).…”
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11237
Relative velocity in the venular network.
Published 2015“…<p><b>A:</b> Typical example of the relative velocity decrease map at 30 mmHg. …”
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11238
Comparison of the fraction of positive relations for different behavioral updating.
Published 2018“…<p>The simulation is carried out 10 times on a random network consisting of 100 nodes with average network connectivity 〈<i>k</i>〉 = 4. …”
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11239
Effects of bending stiffnesses of ACP<sup>C</sup>, <i>κ</i><sub>b,ACP,1</sub> and <i>κ</i><sub>b,ACP,2</sub>, on <i>G</i>′ and <i>G</i>″.
Published 2013“…<i>κ</i><sub>b,ACP</sub> = control (black circles), 10-fold decrease (magenta triangles), 100-fold decrease (blue inverted triangles), and 0 (green diamonds) (A) <i>γ</i> = 0, (B) <i>γ</i> = 0.4, (C) <i>γ</i> = 0.55. …”
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11240
Schematic of experimental paradigms.
Published 2018“…Following the appearance of the fixation cross and information about the maximum reward (50 and 100 points), subjects were presented with a diminishing arc informing them about the rate of reward decrease on a given trial. …”