Showing 7,821 - 7,840 results of 15,783 for search '(( six ((nn decrease) OR (a decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.70s Refine Results
  1. 7821

    Table 4_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…Despite their efficacy, inconsistencies in model quality remain a concern. This review aims to evaluate existing ML-based SA-AKI mortality prediction models, with a focus on development quality, methodological rigor, and predictive performance.…”
  2. 7822

    Presentation_1_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.pptx by Manal AbuOun (141061)

    Published 2020
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  3. 7823

    Image1_The safe and effective use of supercritical CO2-processed bone allografts for cervical and lumbar interbody fusion: A retrospective study.png by Nicolas Aurouer (14577653)

    Published 2023
    “…Fusion success was assessed radiographically in the immediate postoperative period and at one month, six months, one year, and three years postoperatively. …”
  4. 7824

    Data_Sheet_1_Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland.docx by Tim Richter-Heitmann (5906141)

    Published 2020
    “…By Illumina 16S rRNA sequencing, we monitored soil bacteria in 360 stations on a 100 square meter plot distributed across six intra-annual samplings in a rarely managed, temperate grassland. …”
  5. 7825

    Table_1_Efficacy of fermented grain using Bacillus coagulans in reducing visceral fat among people with obesity: a randomized controlled trial.DOCX by Eunbyul Cho (12135697)

    Published 2023
    “…Background<p>Obesity is a socioeconomic problem, and visceral obesity, in particular, is related to cardiovascular diseases or metabolic syndrome. …”
  6. 7826

    Image3_The safe and effective use of supercritical CO2-processed bone allografts for cervical and lumbar interbody fusion: A retrospective study.png by Nicolas Aurouer (14577653)

    Published 2023
    “…Fusion success was assessed radiographically in the immediate postoperative period and at one month, six months, one year, and three years postoperatively. …”
  7. 7827

    Table_6_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.doc by Manal AbuOun (141061)

    Published 2020
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  8. 7828

    Table_6_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.doc by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  9. 7829

    Table_3_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOC by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  10. 7830

    Table_5_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.doc by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  11. 7831

    Table_2_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOCX by Manal AbuOun (141061)

    Published 2020
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  12. 7832

    Image2_The safe and effective use of supercritical CO2-processed bone allografts for cervical and lumbar interbody fusion: A retrospective study.png by Nicolas Aurouer (14577653)

    Published 2023
    “…Fusion success was assessed radiographically in the immediate postoperative period and at one month, six months, one year, and three years postoperatively. …”
  13. 7833

    DataSheet_1_A Dynamic Transcription Factor Signature Along the Colorectal Adenoma-Carcinoma Sequence in Patients With Co-Occurrent Adenoma and Carcinoma.docx by Zongfu Pan (6113084)

    Published 2021
    “…During the disease course, 28 expression patterns for DE-TFs and four co-expression modules were clustered. Notably, six DE-TFs, DACH1, GTF2IRD1, MEIS2, NR3C2, SOX9, and SPIB, were identified as having a dynamic signature along the colorectal adenoma-carcinoma sequence. …”
  14. 7834

    Table_4_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOC by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  15. 7835

    Table_7_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOCX by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  16. 7836

    Table_4_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOC by Manal AbuOun (141061)

    Published 2020
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  17. 7837

    Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…Despite their efficacy, inconsistencies in model quality remain a concern. This review aims to evaluate existing ML-based SA-AKI mortality prediction models, with a focus on development quality, methodological rigor, and predictive performance.…”
  18. 7838

    Table_2_Characterizing Antimicrobial Resistant Escherichia coli and Associated Risk Factors in a Cross-Sectional Study of Pig Farms in Great Britain.DOCX by Manal AbuOun (141061)

    Published 2021
    “…<p>Combatting antimicrobial resistant (AMR) using a One-Health approach is essential as various bacteria, including Escherichia coli, a common bacteria, are becoming increasingly resistant and livestock may be a reservoir. …”
  19. 7839

    Data_Sheet_2_Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland.xlsx by Tim Richter-Heitmann (5906141)

    Published 2020
    “…By Illumina 16S rRNA sequencing, we monitored soil bacteria in 360 stations on a 100 square meter plot distributed across six intra-annual samplings in a rarely managed, temperate grassland. …”
  20. 7840

    Table 1_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…Despite their efficacy, inconsistencies in model quality remain a concern. This review aims to evaluate existing ML-based SA-AKI mortality prediction models, with a focus on development quality, methodological rigor, and predictive performance.…”