Showing 42,821 - 42,840 results of 62,100 for search '(( 5 ((ng decrease) OR (we decrease)) ) OR ( 50 ((ms decrease) OR (a decrease)) ))', query time: 1.32s Refine Results
  1. 42821

    Image_1_Analysis of Sour Porridge Microbiota and Improvement of Cooking Quality via Pure Culture Fermentation Using Lacticaseibacillus paracasei Strain SZ02.JPEG by Cheng Wang (102692)

    Published 2021
    “…Specifically, Aeromonas, Acinetobacter, and Klebsiella were dominant on fermentation days 1–5 (groups NF-1, NF-3, and NF-5), while Lactobacillus and Acetobacter gradually became the dominant bacteria on fermentation day 7 (group NF-7). …”
  2. 42822

    Image_1_Non-targeted metabolomics reveals the taste variations during Baccaurea ramiflora Lour. fruit maturation.pdf by Chongcheng Yang (18986771)

    Published 2024
    “…In this study, the pink flesh of this excellent tasting fruit (BR) was used to reveal the metabolic causes of taste variations through five developmental stages. We identified 154 common differential metabolites of different developmental stages based on non-targeted metabolomics analysis. …”
  3. 42823

    Image_3_Analysis of Sour Porridge Microbiota and Improvement of Cooking Quality via Pure Culture Fermentation Using Lacticaseibacillus paracasei Strain SZ02.TIF by Cheng Wang (102692)

    Published 2021
    “…Specifically, Aeromonas, Acinetobacter, and Klebsiella were dominant on fermentation days 1–5 (groups NF-1, NF-3, and NF-5), while Lactobacillus and Acetobacter gradually became the dominant bacteria on fermentation day 7 (group NF-7). …”
  4. 42824

    Table_3_Non-targeted metabolomics reveals the taste variations during Baccaurea ramiflora Lour. fruit maturation.xlsx by Chongcheng Yang (18986771)

    Published 2024
    “…In this study, the pink flesh of this excellent tasting fruit (BR) was used to reveal the metabolic causes of taste variations through five developmental stages. We identified 154 common differential metabolites of different developmental stages based on non-targeted metabolomics analysis. …”
  5. 42825

    Proposed model of how WSSV-induced glutamate-driven anaplerosis is regulated by the mTORC2 at 12 hpi. by Chun-Yuan Li (577449)

    Published 2016
    “…In addition to increasing energy levels (ATP), we speculate that replenishment of α-KG may also drive the production of lipid precursors (dashed red arrow).…”
  6. 42826

    Table_2_Non-targeted metabolomics reveals the taste variations during Baccaurea ramiflora Lour. fruit maturation.xlsx by Chongcheng Yang (18986771)

    Published 2024
    “…In this study, the pink flesh of this excellent tasting fruit (BR) was used to reveal the metabolic causes of taste variations through five developmental stages. We identified 154 common differential metabolites of different developmental stages based on non-targeted metabolomics analysis. …”
  7. 42827

    Supplementary Material for: Novel Technique for Contained Power Morcellation through Umbilicus with Insufflated Bag by Leal M.A. (3104919)

    Published 2016
    “…We describe a new technique for power morcellation using a plastic bag through umbilicus using a latex glove and skin retractor as a single port device. …”
  8. 42828

    Table_1_Non-targeted metabolomics reveals the taste variations during Baccaurea ramiflora Lour. fruit maturation.xlsx by Chongcheng Yang (18986771)

    Published 2024
    “…In this study, the pink flesh of this excellent tasting fruit (BR) was used to reveal the metabolic causes of taste variations through five developmental stages. We identified 154 common differential metabolites of different developmental stages based on non-targeted metabolomics analysis. …”
  9. 42829

    Supplementary Material for: Effectiveness of Unilateral Pallidotomy for Meige Syndrome Confirmed by Motion Analysis by Valálik I. (4124986)

    Published 2011
    “…<i>Background:</i> We report the case of a 64-year-old woman with bilateral manifestation of Meige syndrome (MS) successfully treated with left-side unilateral ventroposterolateral pallidotomy. …”
  10. 42830

    Population-level hysteresis as a function of average density . by Chad M. Topaz (141835)

    Published 2012
    “…<p>Gregarious mass fraction as the average density (total mass divided by domain length ) is varied as a control parameter. We use our alternative set of phase change and social interaction parameters, as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002642#pcbi-1002642-g005" target="_blank">Fig. 5</a>. …”
  11. 42831

    Effect of inorganic phosphate on endothelial cell proliferation and apoptosis. by Ai Peng (346588)

    Published 2013
    “…Incubation in media simulating hypophosphatemia (0.5 mM) or hyperphosphatemia (3 mM phosphate) resulted in a significant reduction of cell numbers (A), decreased cell viability (B) and increased cell dearth (C, statistically significant only seen in hyperphosphatemia) when compared to cells incubated in the medium containing 1 mM phosphate. …”
  12. 42832
  13. 42833

    Macroporous Silk Fibroin Cryogels by Fatih Ak (1983859)

    Published 2016
    “…The scaffolds produced at 12.6% fibroin exhibit a very high compressive modulus (50 MPa) making them good candidates as bone scaffold materials.…”
  14. 42834
  15. 42835

    Multi-protein complexes and interface residue overlap. by Margaret E. Johnson (413090)

    Published 2013
    “…If one accounts for specific atoms in an interface rather than residues, the overlap decreases but is still present. For the proteasome, there are still 22% and 7% of interface pairs that share atoms (at 4 Å and 3.5 Å cutoffs, respectively).…”
  16. 42836

    Epidemic growth depends on circadian rhythms. by Zhanwei Du (4867891)

    Published 2020
    “…<p>For each city, the time until 10% of locations are infected (Γ<sub>10%</sub>), averaged over epidemics for each of the different introduction timings and sites. We compare simulations in settings with the time-dependent transmission rate at three different strengths of the circadian effects (high <i>C</i> = 1, medium <i>C</i> = 0.5 and no <i>C</i> = 0 circadian effect). …”
  17. 42837

    Versus plot after the first stage normalization by Dankyu Yoon (4435)

    Published 2011
    “…<p><b>Copyright information:</b></p><p>Taken from "Two-stage normalization using background intensities in cDNA microarray data"</p><p>BMC Bioinformatics 2004;5():97-97.</p><p>Published online 21 Jul 2004</p><p>PMCID:PMC509428.…”
  18. 42838

    Correlations between predictors on different landscapes. by Dusan Misevic (53765)

    Published 2009
    “…Red (blue) crosses indicate simulations in which the frequency of sexually reproducing individuals increased (decreased) in the competition phase. For clarity of presentation, up to 5 outlier points were eliminated from random and NK<sub>2</sub> landscapes. …”
  19. 42839

    Localization of sulfated GAGs using alcian blue stain. by Narita L. Leong (167571)

    Published 2012
    “…We also observed staining to occur in dentin. Scale bars = 500 µm. b) Corresponding age-related changes at interradicular, coronal-apical, and mesial-distal entheses regions showed decreased alcian blue staining and lost mesial specificity with age (black arrows). …”
  20. 42840

    Inference success. by Enrique Balleza (271587)

    Published 2008
    “…We have chosen <i>T</i><sub>0</sub> = 1.5 for <i>E. coli</i> and <i>T</i><sub>0</sub> = 1.3 for <i>B. subtilis</i>.…”