Showing 181 - 200 results of 2,198 for search '(( predefined ((((we decrease) OR (step decrease))) OR (nn decrease)) ) OR ( a large decrease ))', query time: 0.57s Refine Results
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    <b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b> by Denise M. Drotar (21679539)

    Published 2025
    “…Insulin-positive (INS+) single cells (≤10µm), cell clusters (>10 to <35µm), small- and medium-sized islets (35-100µm and 100-200µm) were significantly lost at type 1 diabetes onset, while large INS+ islets (>200µm) were preserved. Moreover, changes in endocrine composition also occurred in mAAb+ donors, including a significant decrease in the INS+ islet fraction. …”
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    Proportion of large and small EEFs over time in the different culture conditions and for each biological replicate. by Erica M. Pasini (3146643)

    Published 2025
    “…Drug-treated <i>P. cynomolgi</i> biological replicates on day 9 show a continued decrease in EEFs. The enrichment in hypnozoites (small EEF) peaks at day 11. …”
  7. 187

    Table 1_Ultrasonographic assessment of optic nerve sheath diameter on the affected and unaffected sides as a predictor of clinical deterioration at discharge in patients with large... by Changlan Li (704841)

    Published 2025
    “…Background and objectives<p>Progressive cerebral edema worsens prognosis in large hemispheric infarction (LHI). Ultrasonographic optic nerve sheath diameter (ONSD) measurement provides a non-invasive method for estimating intracranial pressure. …”
  8. 188

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
    “…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”
  9. 189

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
    “…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”
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    Table 1_Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.docx by Lili Zhou (265076)

    Published 2025
    “…Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. …”
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    Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

    Published 2025
    “…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”
  13. 193

    Data Sheet 1_Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.docx by Lili Zhou (265076)

    Published 2025
    “…Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. …”
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    Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

    Published 2024
    “…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”
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    Mortality rates per lifecycle stage [28]. by Albertus Constantijn Sloof (20405090)

    Published 2024
    “…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”