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marked decrease » marked increase (Expand Search)
large decrease » large increases (Expand Search), large degree (Expand Search)
ai larger » ai large (Expand Search), a large (Expand Search), _ larger (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » large increases (Expand Search), large degree (Expand Search)
ai larger » ai large (Expand Search), a large (Expand Search), _ larger (Expand Search)
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Overview of the parameters used in the model.
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].
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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<b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b>
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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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025“…However, this model can be time-consuming and can only represent a single vessel track. To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”