Showing 281 - 300 results of 3,057 for search '(( a ((large decrease) OR (larger decrease)) ) OR ( ct ((values decrease) OR (largest decrease)) ))', query time: 0.43s Refine Results
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    Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

    Published 2025
    “…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV<sub>mean</sub> in patients with obesity, 3.6 ± 0.1; SUV<sub>mean</sub> in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”
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    Results of SD-TOPSIS application ‐ combination A. by Roman Vavrek (13200141)

    Published 2024
    “…The presented research works with five criteria, identified by the Institute for Economic and Social Reforms, and aims to quantify the agreement of the results of the assessment of the financial health of territorial self-government entities in 2020 using the TOPSIS technique with a gradually decreasing number of criteria. For this purpose, a total of 26 combinations of criteria are created, with the number of 5, 4, 3 and 2 used criteria, the importance of which is determined based on their absolute variability using the standard deviation method. …”
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    Dox-inducible expression of HA-MAD1 in colon is sufficient to decrease p53 expression and cause chromosome missegregation. by Sarah E. Copeland (13951506)

    Published 2024
    “…Colors indicate samples from different animals. Large circles show mean of cells from 5 fields of view from a single animal. …”
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    Table 3_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

    Published 2025
    “…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”
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    Table 2_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

    Published 2025
    “…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”
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    Table 1_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

    Published 2025
    “…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”
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    Data Sheet 1_Associations of NETs with inflammatory risk and clinical predictive value in large artery atherosclerosis stroke: a prospective cohort study.docx by Jiang Li (272926)

    Published 2024
    “…</p>Results<p>The serum MPO-DNA, PAD4, C1q, IL-1β, IL-6 and IL-8 reach their peak at 24 hours after stroke onset and show a decreasing trend during acute phase. MPO-DNA, AIM2 and IL-1β at baseline were associated with poor outcome at 3 months, further GMDR analysis revealed that the combination of MPO-DNA, AIM2 and IL-1β exert a synergistic effect on the prognosis of LAA stroke (OR: 8.75 95%CI (2.10-32.42)). …”
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    Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

    Published 2025
    “…Logistic regression analysis identified several independent risk factors for poor treatment outcomes, including diabetes, cavities in the lungs, tracheobronchial TB, increased C-reactive protein, and decreased hemoglobin. The AUC values were 0.815 for the modeling group and 0.851 for the validation group. …”
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