Showing 14,561 - 14,580 results of 44,200 for search '(( significant cause decreased ) OR ( significantly ((we decrease) OR (greater decrease)) ))', query time: 0.82s Refine Results
  1. 14561

    Image_1_Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm.TIF by Xuandong Jiang (12005642)

    Published 2022
    “…Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to establish prediction models for platelet decrease and severe platelet decrease in ICU patients with sepsis based on four common ML algorithms and identify the best prediction model. …”
  2. 14562

    Silibinin improves palmitate-induced insulin resistance in C2C12 myotubes by attenuating IRS-1/PI3K/Akt pathway inhibition by H.B. Li (6514220)

    Published 2019
    “…We also found that palmitate downregulated insulin-stimulated Tyr632 phosphorylation of insulin receptor substrate 1 (IRS-1) and up-regulated IRS-1 Ser307 phosphorylation. …”
  3. 14563

    DataSheet_1_Spatio-temporal differences and simulation studies of the carbon budget from fisheries in the northern marine economic circle of China.docx by Dai Jia (842261)

    Published 2024
    “…Furthermore, the production of clams and the use of seawater trawl net have a significant impact on the net carbon emissions. Increasing the production of clams while reducing the power of trawling operations can significantly decrease net carbon emissions. …”
  4. 14564

    Table 1_Modulatory effects of black jujube melanoidins on gut microbiota and metabolic pathways in high-fat diet-induced obesity.docx by Xi Che (21248720)

    Published 2025
    “…MLD also protected the liver, as evidenced by a 16.4% decrease in alanine aminotransferase (ALT) levels and a 29.6% decrease in aspartate aminotransferase (AST) levels (p < 0.05). …”
  5. 14565

    Data_Sheet_1_Short-Term Changes in Mental, Physical, and Social Factors After Metabolic Bariatric Surgery in Adolescents: A Nationwide Prospective Cohort Study.DOCX by Ariela Goldenshluger (12533617)

    Published 2022
    “…</p>Results<p>The body mass index (BMI) decreased by 30%, and all physical parameters significantly improved (p ≤ 0.001). …”
  6. 14566

    Table_2_Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm.DOCX by Xuandong Jiang (12005642)

    Published 2022
    “…Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to establish prediction models for platelet decrease and severe platelet decrease in ICU patients with sepsis based on four common ML algorithms and identify the best prediction model. …”
  7. 14567

    Table_1_Peripapillary choroidal vascularity index and thickness in patients with systemic sclerosis.docx by Barbara Pieklarz (17149873)

    Published 2023
    “…</p>Conclusion<p>Our results suggest that the statistically significant decrease in pCVI in patients with SSc compared to the control group is probably due to a decrease in the vascular layer, which would partially explain an increased risk of GON in patients with SSc.…”
  8. 14568

    Graphene oxide nanoparticles induce hepatic dysfunction through the regulation of innate immune signaling in zebrafish (<i>Danio rerio</i>) by Guanghua Xiong (8543577)

    Published 2020
    “…The results showed that the major hepatotoxic phenotype induced by GO in zebrafish embryos was a significant decrease in liver area and a dose-dependent decrease in the hepatocytes. …”
  9. 14569

    Table_2_Short-Term Changes in Mental, Physical, and Social Factors After Metabolic Bariatric Surgery in Adolescents: A Nationwide Prospective Cohort Study.docx by Ariela Goldenshluger (12533617)

    Published 2022
    “…</p>Results<p>The body mass index (BMI) decreased by 30%, and all physical parameters significantly improved (p ≤ 0.001). …”
  10. 14570

    Table_3_Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm.DOCX by Xuandong Jiang (12005642)

    Published 2022
    “…Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to establish prediction models for platelet decrease and severe platelet decrease in ICU patients with sepsis based on four common ML algorithms and identify the best prediction model. …”
  11. 14571

    Image_2_Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm.TIF by Xuandong Jiang (12005642)

    Published 2022
    “…Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to establish prediction models for platelet decrease and severe platelet decrease in ICU patients with sepsis based on four common ML algorithms and identify the best prediction model. …”
  12. 14572

    Table_1_Biological potential of Bacillus subtilis BS45 to inhibit the growth of Fusarium graminearum through oxidative damage and perturbing related protein synthesis.DOCX by Ziyun Lu (14650499)

    Published 2023
    “…Molecular identification of the bacteria based on the 16S rDNA gene and whole genome revealed that the species belonged to the genus Bacillus. We evaluated the strain BS45 for its mechanism against phytopathogenic fungi and its biocontrol potential against FRR caused by F. graminearum. …”
  13. 14573

    Data_Sheet_1_Heterozygous Recurrent Mutations Inducing Dysfunction of ROR2 Gene in Patients With Short Stature.docx by Baoheng Gui (10645124)

    Published 2021
    “…The c.1675G > A mutation also caused a significantly decreased expression of c-Jun. …”
  14. 14574

    TolA overexpression reduces Pal mobility consistent with sequestration of TolB away from Pal. by Lara Connolley (11886459)

    Published 2021
    “…Decreasing the amount of TolB in the model replicates the result seen experimentally.…”
  15. 14575

    Table_1_GH Overexpression Alters Spermatic Cells MicroRNAome Profile in Transgenic Zebrafish.DOCX by William B. Domingues (4822872)

    Published 2021
    “…The primary aim of our study was to verify whether gh overexpression disturbs the sperm miRNA profile and influences the sperm quality in transgenic zebrafish. We report a significant increase in body weight of gh-transgenic males along with associated reduced sperm motility and other kinetic parameters in comparison to the non-transgenic group. …”
  16. 14576

    Table_1_NADPH and Mito-Apocynin Treatment Protects Against KA-Induced Excitotoxic Injury Through Autophagy Pathway.pdf by Na Liu (102929)

    Published 2021
    “…KA induced decreased SOD activity and increased MDA concentration. …”
  17. 14577

    Image_1_GH Overexpression Alters Spermatic Cells MicroRNAome Profile in Transgenic Zebrafish.TIF by William B. Domingues (4822872)

    Published 2021
    “…The primary aim of our study was to verify whether gh overexpression disturbs the sperm miRNA profile and influences the sperm quality in transgenic zebrafish. We report a significant increase in body weight of gh-transgenic males along with associated reduced sperm motility and other kinetic parameters in comparison to the non-transgenic group. …”
  18. 14578

    Data_Sheet_1_Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment.docx by Lulu Zhang (104611)

    Published 2020
    “…Compared with NCs, the network altered in MCI over all the three scales. In scale I, we found significantly decreased characteristic path length and increased global efficiency in MCI. …”
  19. 14579

    Phenotypic changes of interstitial cells of Cajal after intestinal obstruction in rat model by Lin Li (28817)

    Published 2022
    “…There was a significant difference between groups (P<0.05). Intestinal obstruction caused a decrease in the concentrations of SCF mRNA and c-Kit protein in ICC. …”
  20. 14580

    Image_1_CTNNB1 Alternation Is a Potential Biomarker for Immunotherapy Prognosis in Patients With Hepatocellular Carcinoma.pdf by Lin Chen (54305)

    Published 2021
    “…The results of the tumor immune microenvironment (TIME) analysis showed that patients with CTNNB1-MUT had significantly reduced activated immune cells [such as T cells, B cells, M1-type macrophages, and dendritic cells (DCs)], significantly increased M2-type macrophages, a significantly decreased expression of immunostimulating molecules, low activity of the immune activation pathways (cytokine pathway, immune cell activation and recruitment) and highly active immune depletion pathways (fatty acid metabolism, cholesterol metabolism, and Wnt pathway).…”