Showing 5,861 - 5,880 results of 11,492 for search '(( six ((mean decrease) OR (a decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.83s Refine Results
  1. 5861

    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. …”
  2. 5862

    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. …”
  3. 5863

    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.…”
  4. 5864

    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. …”
  5. 5865

    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. …”
  6. 5866

    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.…”
  7. 5867

    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 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. 5868

    Table_1_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. 5869

    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 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. 5870

    DataSheet_1_Sex-Specific Differences in the Association of Metabolically Healthy Obesity With Hyperuricemia and a Network Perspective in Analyzing Factors Related to Hyperuricemia.... by Simiao Tian (9463433)

    Published 2020
    “…Background<p>Although obesity is a well-known risk factor for hyperuricemia, it remains unclear whether obese subjects with metabolically healthy status have a decreased the risk of hyperuricemia and whether sex modifies the association of metabolically healthy obesity (MHO) with hyperuricemia risk. …”
  11. 5871

    Table_1_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. …”
  12. 5872

    Table 1_Methane emission, nitrogen excretion, and energy partitioning in Hanwoo steers fed a typical TMR diet supplemented with Pharbitis nil seeds.docx by Rajaraman Bharanidharan (5635310)

    Published 2024
    “…<p>Two in vivo experiments were conducted to evaluate the potential of Pharbitis nil seeds (PA) as an anti-methanogenic additive to ruminant feed. In experiment 1, six Hanwoo steers (459.0 ± 25.8 kg) were fed either a total mixed ration (TMR; 32-d period) or TMR supplemented with PA at 5% dry matter (DM) intake (TMR-PA; 45-d period) for two consecutive periods. …”
  13. 5873
  14. 5874

    DataSheet_1_Metabolome analysis reveals flavonoid changes during the leaf color transition in Populus × euramericana ‘Zhonghuahongye’.zip by Mengjiao Chen (6560651)

    Published 2023
    “…</p>Methods<p>Leaf color phenotypes were determined and a metabolomic analysis was performed on leaves at three stages (R1, R2 and R3).</p>Results<p>The a*, C* and chromatic light values of the leaves decreased by 108.91%, 52.08% and 113.34%, while the brightness L values and chromatic b* values gradually increased by 36.01% and 13.94%, respectively. …”
  15. 5875

    Data Sheet 1_Disease spectrum of patients with hospital-acquired multidrug-resistant organism infections in the intensive care unit: a retrospective study.doc by Xiaowu Wang (167537)

    Published 2025
    “…The infection rate of Acinetobacter baumannii (A. baumannii) increased in the post-COVID-19 group compared to the pre-COVID-19 and during-COVID-19 groups (χ<sup>2</sup> = 8.82, p = 0.012). …”
  16. 5876

    Table_1_A Pilot Phase 1 Study of Intrathecal Pemetrexed for Refractory Leptomeningeal Metastases From Non-small-cell Lung Cancer.DOC by Zhenyu Pan (180510)

    Published 2019
    “…IP dose was escalated from 10 mg. A minimum of three patients and a maximum of six were enrolled in each cohort. …”
  17. 5877

    Table1_Effects of β-blockers on all-cause mortality in patients with diabetes and coronary heart disease: A systematic review and meta-analysis.docx by Shiqi Chen (3133062)

    Published 2023
    “…We further evaluated quality of evidence using the grading of recommendations assessment, development, and evaluation (GRADE) approach. Finally, a total of 16,188 records were identified, and four randomized controlled trials and six cohort studies (206,490 patients) were included. …”
  18. 5878

    Image_1_The Molecular Basis of Human IgG-Mediated Enhancement of C4b-Binding Protein Recruitment to Group A Streptococcus.tif by David Ermert (154423)

    Published 2019
    “…Each IgG binds two Protein H molecules, while up to six molecules of Protein H bind one C4BP molecule. …”
  19. 5879
  20. 5880

    Table 1_The role of serum albumin and albumin-related nutritional indices in predicting post-stroke cognitive impairment: a systematic review and meta-analysis.docx by Yan-qiu Wang (20565725)

    Published 2025
    “…We systematically searched six databases with a time frame from the date of database establishment to March 29, 2025. …”