Search alternatives:
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
tea decrease » teer decrease (Expand Search), step decrease (Expand Search), a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
ai large » a large (Expand Search), via large (Expand Search), _ large (Expand Search)
_ tea » _ ten (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
tea decrease » teer decrease (Expand Search), step decrease (Expand Search), a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
ai large » a large (Expand Search), via large (Expand Search), _ large (Expand Search)
_ tea » _ ten (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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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
Published 2025“…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
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Marginal means – Pooled across scenarios.
Published 2025“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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Side angle tea picking.
Published 2025“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”
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The soil bacterial community richness and diversity in different tea varieties root zone soil.
Published 2025Subjects: -
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