بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significant factor » significant factors (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significant factor » significant factors (توسيع البحث)
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013.
منشور في 2025الموضوعات: -
1331
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1332
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1333
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1334
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1335
Absolute β convergence results.
منشور في 2025"…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …"
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1336
Conditional β convergence results.
منشور في 2025"…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …"
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1337
Markov transition probability matrix (k = 4).
منشور في 2025"…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …"
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1338
Markov transition probability matrix (k = 4).
منشور في 2025"…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …"
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1339
Regression results.
منشور في 2025"…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …"
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1340
Testing set error.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"