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

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

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

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

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

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

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

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

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

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

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

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Definitions of the variables. by Yulian Ding (5984591)

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Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Characteristics of studied included. by Razieh Bidhendi-Yarandi (7139387)

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Flowchart of the search process. by Razieh Bidhendi-Yarandi (7139387)

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Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

CBCHCV rawdata. This file contains the raw dataset used in the analysis of decreased levels of inflammatory markers in patients with hepatitis C virus (HCV) infection. The dataset... by Lu Han (151620)

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DataSheet1_Pharmacological inhibition of receptor protein tyrosine phosphatase β/ζ decreases Aβ plaques and neuroinflammation in the hippocampus of APP/PS1 mice.docx by Teresa Fontán-Baselga (20392470)

“…In addition, we observed a significant decrease in the number and size of astrocytes in both sexes and in the number of microglial cells in a sex-dependent manner. …”