Schematic diagram of the research hypothesis. by Lingzhi Tan (19146572)

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Carbon emission factors for primary carbon sources. by Lingzhi Tan (19146572)

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Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province. by Lingzhi Tan (19146572)

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Results of the test for mediating effect (2). by Lingzhi Tan (19146572)

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Regression results of the moderated effects model. by Lingzhi Tan (19146572)

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Endogeneity estimation results. by Lingzhi Tan (19146572)

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Unconditional quantile regression results. by Lingzhi Tan (19146572)

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Robustness test results. by Lingzhi Tan (19146572)

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Results of the test for mediating effect (1). by Lingzhi Tan (19146572)

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Trends in Dagum Gini coefficients for digital financial inclusion and agricultural carbon intensity. by Lingzhi Tan (19146572)

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Impact of the three-dimensional Indices of digital financial inclusion on the regional agricultural carbon emissions gap. by Lingzhi Tan (19146572)

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The plot of the quantile effect of China’s digital financial inclusion on the Dagum Gini coefficient of agricultural carbon intensity. by Lingzhi Tan (19146572)

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Trends in inter-provincial agricultural carbon emission Dagum Gini coefficient rankings, 2010–2020. by Lingzhi Tan (19146572)

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Variables and descriptive statistics. by Lingzhi Tan (19146572)

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Results of the baseline regression analysis. by Lingzhi Tan (19146572)

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WT data of set A398E/V and set M1425V/I pooled for better comparison. by Yousra El Ghaleb (22075892)

The windows show the final results reflecting the increase or decrease in the GRF and JRF calculations. by Amany Eid Abd El-Tawab (13864185)

Predictive value of RVT1 for the decreased RV ejection fraction (RVEF) and poor outcome in pulmonary arterial hypertension (PAH). by Ryotaro Asano (11767131)

“…(c) The receiver characteristics curve analysis for a decreased RVEF at follow-up. We defined a change of +3% or −3% (between baseline and follow-up over 12 months) as an increased or decreased RVEF, respectively. …”

Factors associated with increased PDFF (≥30% from baseline). by Natthaya Chuaypen (6726911)

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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”