Fig 1 - حسب Sara Hintze (3216885)

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Differences in mean number of papers (top) and co-authors (bottom) depending on (1) NI membership and (2) time joined NI. حسب William C. Barley (8915282)

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Regression estimates and incidence rate ratios from GLMER for number of papers (top) and coauthors (bottom). حسب William C. Barley (8915282)

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Targeted removal robustness analysis. حسب Fei Wang (19534)

"…TK, SOM, SUE and SALP had significant effects on the bacterial community structure of all three taxa. βNTI increased significantly with increasing differences in TN and ALSP and decreased with increasing differences in salt. …"

The network parameter at different distances. حسب Fei Wang (19534)

"…TK, SOM, SUE and SALP had significant effects on the bacterial community structure of all three taxa. βNTI increased significantly with increasing differences in TN and ALSP and decreased with increasing differences in salt. …"

Akt3 null animals have reduced Aurora B expression and proliferation and increased apoptosis. حسب Zachary J. Hough (20840430)

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A sample choice question without a warning label. حسب Yulian Ding (5984591)

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Description of the warning label. حسب Yulian Ding (5984591)

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The effectiveness of a warning label on carbonated beverage consumption for consumers with different habit strengths. حسب Yulian Ding (5984591)

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The impact of a warning label on carbonated beverage consumption. حسب Yulian Ding (5984591)

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Flow chart of the study. حسب Yulian Ding (5984591)

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A sample choice question with a warning label. حسب Yulian Ding (5984591)

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Consumption frequencies of different types of SSBs. حسب Yulian Ding (5984591)

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Summary statistics of the sample. حسب Yulian Ding (5984591)

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The impact of health knowledge and obesity status on the effectiveness of a warning label. حسب Yulian Ding (5984591)

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Product attributes and attribute levels. حسب Yulian Ding (5984591)

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Dataset used in this study. حسب Yulian Ding (5984591)

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Socio-demographics of the subsamples with different habit strengths. حسب Yulian Ding (5984591)

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Definitions of the variables. حسب Yulian Ding (5984591)

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Side angle tea picking. حسب Chunhua Yang (346871)

"…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"