Showing 172,961 - 172,980 results of 261,435 for search '(( 0 ((0 decrease) OR (a decrease)) ) OR ( 50 ((we decrease) OR (mean decrease)) ))', query time: 2.69s Refine Results
  1. 172961

    Data_Sheet_1_The Isolate Caproiciproducens sp. 7D4C2 Produces n-Caproate at Mildly Acidic Conditions From Hexoses: Genome and rBOX Comparison With Related Strains and Chain-Elongat... by Sofia Esquivel-Elizondo (4438618)

    Published 2021
    “…A comparison of 7D4C2 cultures with fructose and n-butyrate with an increasing pH value from 4.5 to 9.0 showed a decreasing n-caproate specificity from ∼92% at mildly acidic pH (pH 4.5-5.0) to ∼24% at alkaline pH (pH 9.0). …”
  2. 172962

    Image_2_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.tif by Harshit Singh (6724346)

    Published 2019
    “…It significantly decreased the level of HDAC2 (fold change 1.50, <sup>*</sup>p < 0.0001 in SRNS) (fold change 2.53, <sup>*</sup>p < 0.0001 in SSNS) patients.…”
  3. 172963

    Image_4_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.tif by Harshit Singh (6724346)

    Published 2019
    “…It significantly decreased the level of HDAC2 (fold change 1.50, <sup>*</sup>p < 0.0001 in SRNS) (fold change 2.53, <sup>*</sup>p < 0.0001 in SSNS) patients.…”
  4. 172964

    Image_3_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.tif by Harshit Singh (6724346)

    Published 2019
    “…It significantly decreased the level of HDAC2 (fold change 1.50, <sup>*</sup>p < 0.0001 in SRNS) (fold change 2.53, <sup>*</sup>p < 0.0001 in SSNS) patients.…”
  5. 172965

    Image_1_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.tif by Harshit Singh (6724346)

    Published 2019
    “…It significantly decreased the level of HDAC2 (fold change 1.50, <sup>*</sup>p < 0.0001 in SRNS) (fold change 2.53, <sup>*</sup>p < 0.0001 in SSNS) patients.…”
  6. 172966

    Data Sheet 1_The global, regional, and national patterns of change in the burden of edentulism, 1990–2021: an analysis of the global burden of disease study 2021 and forecast to 20... by Xiaolan Zhong (701647)

    Published 2025
    “…</p>Results<p>Globally, the age-standardized incidence rate (ASIR) decreased from 328.85 (95% UI: 268.72–396.35) per 100,000 in 1990 to 305.04 (95% UI: 261.19–356.58) in 2021, with an estimated annual percentage change (EAPC) of −0.23% (95% CI: −0.33% to −0.14%), indicating a long-term decline. …”
  7. 172967

    RanBP2 represses IL6 expression by promoting AGO1 stabilization. by Qingtang Shen (200108)

    Published 2021
    “…In contrast, the same treatment led to a decrease in IL6-HA levels. IL6-HA and H1B-GFP protein levels were quantified using densitometry analysis and the ratio of IL6-HA/H1B-GFP was normalized to DMSO-treated unmodified U2OS cells (B). …”
  8. 172968
  9. 172969

    Genetic and Epigenetic Changes in Chromosomally Stable and Unstable Progeny of Irradiated Cells by Janet E. Baulch (633703)

    Published 2014
    “…While no changes in DNA methylation were observed for the gene promoters evaluated, increased LINE-1 methylation was observed for two unstable clones (LS12 and CS9) and decreased Alu element methylation was observed for the other two unstable clones (115 and Fe5.0–8). …”
  10. 172970

    Summary illustration of whole process. by Refat Khan Pathan (16871953)

    Published 2023
    “…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. …”
  11. 172971

    Mutation rate limits for the available timeframe. by Refat Khan Pathan (16871953)

    Published 2023
    “…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. …”
  12. 172972

    The number of patients in 33 countries. by Refat Khan Pathan (16871953)

    Published 2023
    “…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. …”
  13. 172973

    Time series dataset based on patients. by Refat Khan Pathan (16871953)

    Published 2023
    “…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. …”
  14. 172974

    Indexing from nucleotide to the codon. by Refat Khan Pathan (16871953)

    Published 2023
    “…The LSTM model shows “Root Mean Square Error” (RMSE) values of 0.09 and 0.08 for testing and training, respectively. …”
  15. 172975

    RFX1 is involved in Spata4 mediated cell growth. by Junjun Jiang (188208)

    Published 2013
    “…<p>(<b>A</b>) The protein level of RFX1 was decreased while Spata4 was increased in a time-dependent manner with RFX1-siRNA transfection in TM4 cells. …”
  16. 172976

    Impacts of winter climate change on northern forest understory carbon dioxide exchange determined by reindeer grazing by Noora Kantola (14263490)

    Published 2025
    “…On the contrary, increased snow depth decreased C source strength inside the exclusion offsetting the difference between reindeer grazing treatments. …”
  17. 172977
  18. 172978
  19. 172979

    Data_Sheet_1_More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.PDF by Seyed Yahya Shirazi (7824848)

    Published 2019
    “…The motion capture method, which recorded the locations of markers placed directly on the electrodes had the best reliability with an average electrode variability of 0.001 cm. Then, in order of decreasing reliability were the method using a digitizing probe in the motion capture system, an infrared 3D scanner, a structured-light 3D scanner, and an ultrasound digitization system. …”
  20. 172980

    Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications by Peter M. Rose (845376)

    Published 2016
    “…The community classification models had high omission error rates and contributed fewer taxa to the ‘expected’ component of the taxonomic completeness (O/E<sub>50</sub>) index than the other strategies. This potentially decreases the model sensitivity for site impact assessment. …”