Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
per decrease » teer decrease (Expand Search), we decrease (Expand Search), mean decrease (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
per decrease » teer decrease (Expand Search), we decrease (Expand Search), mean decrease (Expand Search)
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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 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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Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments
Published 2025Subjects: -
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Data Sheet 1_Single radiation exposure induces gut microbiota dysbiosis and decreases short-chain fatty acid metabolism and intestinal barrier integrity in mice.docx
Published 2025“…We aimed to investigate the effects of single and fractionated radiation exposures on gut microbiota diversity and short-chain fatty acid (SCFA) metabolism. Mice were exposed to a single dose (1 Gy, one exposure; dose rate: 2.6 Gy/min) or fractionated doses (1 Gy accumulated over 75 fractions, 6.7 mGy/min for 2 min per session). …”
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Supply chain decision sequence.
Published 2024“…Based on this, a game model of the contract farming supply chain involving a farmer and an e-commerce platform was established to explore the optimal decision-making in the contract farming supply chain considering various government subsidies under the background of e-commerce assistance to farmers. …”
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Simultaneous Analysis of Ultrashort- to Long-Chain PFAS in Multisalinity Aquatic Systems: Methodology, Spatial Profiling, and Risk Prioritization
Published 2025“…Ultrashort-chain per- and polyfluoroalkyl substances (PFAS) have attracted increasing attention due to their rising concentrations and high mobility in environmental contexts, yet their incorporation into routine multianalyte workflows remains challenging. …”
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