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7921 |
Using social network analysis to investigate mathematical connections in U.S. and Chinese textbook problems
Enthalten in Humanities and Social Sciences Communications Bd. 11, 8.4.2024, Nr. 1, date:12.2024: 1-17
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7922 |
Using Social Network Analysis to Strengthen Organizational Relationships to Better Serve Expectant and Parenting Young People
Enthalten in Maternal and child health journal Bd. 24, 5.9.2020, Nr. 2, date:9.2020: 232-242
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7923 |
Using social network analysis to track the evolution of Pacific food system research collaborations over time
Enthalten in Regional environmental change Bd. 23, 8.11.2023, Nr. 4, date:12.2023: 1-14
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7924 |
Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach
Enthalten in International journal of computational intelligence systems Bd. 16, 29.5.2023, Nr. 1, date:12.2023: 1-14
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7925 |
Using stakeholder network analysis to enhance the impact of participation in water governance
Enthalten in Humanities and Social Sciences Communications Bd. 11, 29.3.2024, Nr. 1, date:12.2024: 1-6
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7926 |
Using structural equation modeling for network meta-analysis
Enthalten in BMC medical research methodology Bd. 17, 14.7.2017, Nr. 1, date:12.2017: 1-9
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7927 |
Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review
Enthalten in Biomed Central (London): BMC Research Notes Bd. 9, 14.4.2016, Nr. 1, date:12.2016: 1-13
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7928 |
Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses: application to accident prevention in households with children under five
Enthalten in BMC public health Bd. 22, 13.5.2022, Nr. 1, date:12.2022: 1-13
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7929 |
Using time series analysis and dual-stage attention-based recurrent neural network to predict landslide displacement
Enthalten in Environmental earth sciences Bd. 81, 27.10.2022, Nr. 21, date:11.2022: 1-18
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7930 |
Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens)
Enthalten in Genes & genomics Bd. 43, 2.8.2021, Nr. 10, date:10.2021: 1231-1246
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