Showing 100,701 - 100,720 results of 106,326 for search '(( 12 mean decrease ) OR ( 5 ((((non decrease) OR (point decrease))) OR (a decrease)) ))', query time: 1.75s Refine Results
  1. 100701

    Table_2_Restoration of the Oral Microbiota After Surgery for Head and Neck Squamous Cell Carcinoma Is Associated With Patient Outcomes.xlsx by Jason Y. K. Chan (11527168)

    Published 2021
    “…</p>Materials and Methods<p>This was a prospective cohort study at a tertiary academic center in Hong Kong SAR of patients with head and neck squamous cell carcinoma evaluating the oral microbiome in pre- and postsurgery oral rinses (at 1, 3, and 6 months) with 16S rRNA gene V3–V4 amplicon sequencing.…”
  2. 100702

    Image_3_Restoration of the Oral Microbiota After Surgery for Head and Neck Squamous Cell Carcinoma Is Associated With Patient Outcomes.tif by Jason Y. K. Chan (11527168)

    Published 2021
    “…</p>Materials and Methods<p>This was a prospective cohort study at a tertiary academic center in Hong Kong SAR of patients with head and neck squamous cell carcinoma evaluating the oral microbiome in pre- and postsurgery oral rinses (at 1, 3, and 6 months) with 16S rRNA gene V3–V4 amplicon sequencing.…”
  3. 100703

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  4. 100704

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  5. 100705

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  6. 100706

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  7. 100707

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  8. 100708

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  9. 100709

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  10. 100710

    Intra- and Interskeletal Proteome Variations in Fresh and Buried Bones by Noemi Procopio (3384983)

    Published 2017
    “…Interestingly, the abundance of several serum proteins appeared to correlate with biological age with relative concentrations of alpha-1 antitrypsin and chromogranin-A increasing and those of fetuin-A decreasing. …”
  11. 100711

    Inhibition of AKR1B1 substrate oxidation by β-glucogallin. by Muthenna Puppala (175119)

    Published 2012
    “…C) No significant changes were observed in the apparent K<sub>m</sub> values. D) A decreasing trend was observed in the apparent V<sub>max</sub> values, and the differences were found to be statistically significant as follows: *indicates <i>P</i> = 0.01, and ***indicates <i>P</i> = 0.0002. …”
  12. 100712

    Comparison of postoperative infection rate in linear mandibular fractures using antibiotic prophylaxis by Lucas Borin MOURA (6137987)

    Published 2018
    “…<p></p><p>Abstract Introduction Postoperative infections are a major complication in the treatment of mandibular fractures. …”
  13. 100713
  14. 100714
  15. 100715

    Optineurin Negatively Regulates the Induction of IFNβ in Response to RNA Virus Infection by Jamel Mankouri (252924)

    Published 2010
    “…Over-expression of optineurin inhibited Sendai-virus (SeV) and dsRNA triggered induction of IFNβ, whereas depletion of optineurin with siRNA promoted virus-induced IFNβ production and decreased RNA virus replication. …”
  16. 100716

    Data_Sheet_1_Saturated Dissolved Oxygen Concentration in in situ Fragmentation Bioleaching of Copper Sulfide Ores.docx by Ming-Qing Huang (10719069)

    Published 2022
    “…<p>In situ fragmentation bioleaching is a promising way to perform deep mining safely, economically, and in an environmentally friendly manner, where oxygen plays a critical role in microbial growth and mineral dissolution. …”
  17. 100717

    Immunohistochemistry of nNOS in the MPOA and PVN following three weeks of antipsychotic drug administration. by Xiang Rong Zhang (326378)

    Published 2013
    “…<p>nNOS immunostaining in the MPOA (A) and the PVN (D); Quantitative analyses of nNOS positive cell density in the MPOA (B) and the PVN (E), Haloperidol significantly decreased the nNOS positive cell density in the ADP; Quantitative analyses of nNOS IOD in the MPOA (C) and the PVN (F). …”
  18. 100718

    Feature selection by heuristic approach for the mutation sites data. by Fabio Verginelli (260241)

    Published 2009
    “…</i>, codons) on the x axis, respectively ranked in decreasing order of weight (number of mutations, panel A), and decreasing order of the first 11 PC coefficients of each feature (where 11 was the number of PCs contributing 100% of the data variance, panel B). …”
  19. 100719
  20. 100720