بدائل البحث:
transient decrease » transient increase (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
_ transient » _ transgenic (توسيع البحث)
ai large » a large (توسيع البحث), via large (توسيع البحث), _ large (توسيع البحث)
a larger » a large (توسيع البحث), _ larger (توسيع البحث), _ large (توسيع البحث)
transient decrease » transient increase (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
large decrease » marked decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
_ transient » _ transgenic (توسيع البحث)
ai large » a large (توسيع البحث), via large (توسيع البحث), _ large (توسيع البحث)
a larger » a large (توسيع البحث), _ larger (توسيع البحث), _ large (توسيع البحث)
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Table 1_Decreased neuronal excitability in hypertriglyceridemia hamsters with acute seizures.docx
منشور في 2024"…Additionally, the amplitude of transient outward potassium currents (I<sub>A</sub>) in cortical neurons of Apoc2<sup>−/−</sup> hamsters was observed to be elevated compared to wild-type hamsters.…"
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Data Sheet 1_Decreased neuronal excitability in hypertriglyceridemia hamsters with acute seizures.docx
منشور في 2024"…Additionally, the amplitude of transient outward potassium currents (I<sub>A</sub>) in cortical neurons of Apoc2<sup>−/−</sup> hamsters was observed to be elevated compared to wild-type hamsters.…"
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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
منشور في 2025"…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …"
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Biases in larger populations.
منشور في 2025"…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …"
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A novel RNN architecture to improve the precision of ship trajectory predictions
منشور في 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. …"
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