The tumor volume (mm³) of the mice in each group. by Yu Zhang (12946)

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HFD decreases ITM and alters metabolic homeostasis. by Tong Yue (6033305)

“…The TAG accumulated in the whole body significantly increased under the HFD condition compared to the ND condition. …”

Human <i>CTSZ</i> variants are associated with TB severity, and CTSZ is present at the host-pathogen interface within human pulmonary <i>Mtb</i> granulomas. by Rachel K. Meade (22216529)

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Effect of down-regulation and up-regulation of CRNN on cell apoptosis. by Changji Li (4806930)

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The effect of CRNN downregulation on migration and invasion ability in cSCC cells. by Changji Li (4806930)

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iPLA₂γ KO mice show increased glomerular autophagy. by Andrey V. Cybulsky (4007012)

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Types of Bayesian spatiotemporal models. by Weiwei Meng (304234)

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Ecological regression model fitting results. by Weiwei Meng (304234)

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Correlation analysis. by Weiwei Meng (304234)

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Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category. by Caroline G. Middleton (22041479)

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Sodium level changes in matched restaurant menu items (2016–2020) by UK NSRI food category. by Caroline G. Middleton (22041479)

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Sodium levels (mg/100 g) in matched restaurant menu items in 2016 and 2020 by UK NSRI food categories with ≥ 10 items. by Caroline G. Middleton (22041479)

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Differences in the effect of microcredit on the income increase of poverty-alleviated population under different production scales. by Yin Liu (50073)

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Effects of increasing amounts of gravel on escape latency and aversiveness of gravel. by Ella R. Dockendorf (21533334)

Description of various production factors. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Regression coefficients of production function. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Production function regression ridge trace. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Model test results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”