Showing 12,141 - 12,160 results of 21,872 for search '(( 5 ((step decrease) OR (nn decrease)) ) OR ( 100 ((we decrease) OR (a decrease)) ))', query time: 1.00s Refine Results
  1. 12141

    Newborn screening process, illustrating specimen collection through result reporting. by Marci K. Sontag (8662200)

    Published 2020
    “…NewSTEPs 360 supported state/territorial NBS programs to address challenges associated with the pre-analytical and analytical phases of the NBS process by implementing various activities, including 1) providing education to birthing centers and midwives about the importance of timely collection and shipment of specimens; 2) shortening transit time by optimizing shipping methods; 3) expanding laboratory operating hours to decrease the time from specimen receipt to results reporting; 4) improving the efficiency of laboratory workflows; and 5) developing a health information technology infrastructure to improve the transmission of electronic demographic information, laboratory orders, and results between the NBS laboratory and health care providers.…”
  2. 12142

    Data from: Habitat loss predicts the functional extinction of fish from Amazonian streams during the Anthropocene by Lucas Colares (11379678)

    Published 2021
    “…The simulated extinction of vulnerable species led to a decrease in both the mean body size of the community and functional rarity, and culminated in abrupt losses of ecosystem function after 5% and 10% of extinction at local and regional scales. …”
  3. 12143

    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). …”
  4. 12144

    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). …”
  5. 12145

    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. …”
  6. 12146

    Response to square wave CO<sub>2</sub> stimulus – CVR and DFA maps. by W. Alan C. Mutch (122579)

    Published 2012
    “…The percentage of ‘blue’ DFA voxels noticeably decreased over time. The step change in end-tidal CO<sub>2</sub> is 8 mmHg.…”
  7. 12147

    GENETIC DIVERSITY AMONG BITTER MELON GENOTYPES ASSESSED THROUGH MORPHO-AGRONOMIC VARIABLES by THAÍSA DE OLIVEIRA SILVEIRA (14119858)

    Published 2022
    “…A trend of decrease in fruit, leaf, and seed sizes was found in groups from G1 to G5. …”
  8. 12148

    The ability of MLR-Tregs to allospecifically suppress MLR proliferation. by Yuming Yu (212650)

    Published 2011
    “…For allospecific inhibition the stimulators were from the original stimulators used for generating MLR-Tregs and for non-specific inhibition the stimulator PBMC were from a different totally HLA mismatched (third party) individual. Note the drastic decrease in the inhibitory effect by MLR-Tregs in the non-specific culture combinations as the modulator cell concentrations decreased (** = p<0.01; n = 5).…”
  9. 12149

    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. …”
  10. 12150

    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>. …”
  11. 12151

    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). …”
  12. 12152

    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. …”
  13. 12153

    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. …”
  14. 12154

    cpFLIPPi-6.4m can report rapid changes in Pi-induced FRET <i>in vivo</i>. by Swayoma Banerjee (816022)

    Published 2015
    “…<p>(A) Image showing spread of the injected fluid along the intestine, visualized by injecting propidium iodide. …”
  15. 12155

    Supplementary figure 1 by Cass Dedert (12837572)

    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. …”
  16. 12156

    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... by Agnes Dechartres (84995)

    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.…”
  17. 12157
  18. 12158
  19. 12159

    In the dark, <i>nob</i> mice GCs oscillate asynchronously, but light stimulation synchronizes their oscillations. by Beerend H. J. Winkelman (7377299)

    Published 2019
    “…(Bi) Each trace shows the mean normalized GC activity of 100 episodes of activity in the dark during the first 2 s of a 5-s window. …”
  20. 12160

    Effect of SRp20ΔRRM expression on poliovirus yield. by Kerry D. Fitzgerald (214008)

    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). …”