Search alternatives:
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
i large » _ large (Expand Search), a large (Expand Search), i larvae (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
i large » _ large (Expand Search), a large (Expand Search), i larvae (Expand Search)
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Geographical distribution of large cities and small cities.
Published 2024“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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Crack number evolution curve when <i>I</i><sub>c</sub> = 0.
Published 2024“…The results show that the peak stress, cracking stress and dilatancy stress of coal sample decrease in a linear function law with the increase of load eccentricity coefficient. …”
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Meso crack evolution law when <i>I</i><sub>c</sub> = 0.
Published 2024“…The results show that the peak stress, cracking stress and dilatancy stress of coal sample decrease in a linear function law with the increase of load eccentricity coefficient. …”
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Supplementary Material for: Tea Consumption Is Associated with Decreased Disease Activity of Rheumatoid Arthritis in a Real-World, Large-Scale Study
Published 2020“…<b><i>Objectives:</i></b> The aim of this study was to explore the possible association of tea consumption with RA through a large-scale, real-world study. …”
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S1 Dataset -
Published 2024“…While WBC classification was originally rooted in conventional ML, there has been a notable shift toward the use of DL, and particularly convolutional neural networks (CNN), with 54.4% of identified studies (n = 74) including the use of CNNs, and particularly in concurrence with larger datasets and bespoke features e.g., parallel data pre-processing, feature selection, and extraction. …”
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