Potential and human NPP changes in the Qilian mountain national park from 2000 to 2015. by Qiang Li (8118)

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The spatial distribution and change of annual precipitation and average temperature from 2000 to 2015. by Qiang Li (8118)

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S1 Fig - by Qiang Li (8118)

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Fig 5 - by Qiang Li (8118)

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Spatial distribution of the grassland Actual NPP in the Qilian mountain national park in 2000 to 2015. by Qiang Li (8118)

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Spatial distribution of the seasonal grassland NPP in the Qilian mountains from 2010 to 2015. by Qiang Li (8118)

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Spatial distribution of the monthly grassland NPP in the Qilian mountains from 2010 to 2015. by Qiang Li (8118)

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Conditions that indicate the driving forces of vegetation dynamics. by Qiang Li (8118)

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Comparison of the estimated NPP with measured data. by Qiang Li (8118)

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Main baseline characteristics of patients included in the study. by Jie Liu (15128)

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Effects of heat shocks on whole grain dimensions. by Christine Girousse (5447276)

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Assessing the Potential of <i>N</i>‑Butyl‑l‑deoxynojirimycin (l‑NBDNJ) in Models of Cystic Fibrosis as a Promising Antibacterial Agent by Anna Esposito (2400814)

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Labor unionization and accrual-based earnings management. by Vivek Astvansh (14310090)

The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

“…The black line represents the line of best fit based on the reduced model with marginal means. The gray shaded area shows the prediction interval that accounts for the uncertainty in the random effects. …”

DataSheet_1_Stapled peptide PROTAC induced significantly greater anti-PD-L1 effects than inhibitor in human cervical cancer cells.docx by Yu-Ying Shi (15975992)

“…</p>Conclusions<p>Cells treated with 0.1 μM of SP-PROTAC or BMS-8 for 4 h revealed that the stapled peptide decreased PD-L1 more effectively than BMS-8. DHHC3-targeting SP-PROTAC decreased PD-L1 in human cervical cancer more effectively than the inhibitor BMS-8.…”

Decreased Incidence of Type 1 Diabetes in Young Finnish Children by Anna Parviainen (9343391)

“…This decline was mainly due to the decrease in the youngest age group [IRR 0.77 (95% CI 0.68–0.87); <i>P </i>< 0.001], being significant both among males and females. …”

Performance analysis of neural network based on the validation dataset. by Dania AL-Najjar (11840857)

Error analysis of neural network based on the validation dataset. by Dania AL-Najjar (11840857)

Heterogeneity analysis of the bargaining effect based on characteristics of IBs. by Lina Yu (1731598)

Heterogeneity analysis of the bargaining effect based on characteristics of executives. by Lina Yu (1731598)