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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
17 decrease » _ decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
17 decrease » _ decrease (Expand Search), nn decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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6001
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6002
Table 1_Global, regional, and national anemia burden among women of reproductive age (15–49 years) from 1990 to 2021: an analysis of the Global Burden of Disease Study 2021.docx
Published 2025“…Background<p>Anemia remains a significant global health challenge, disproportionately affecting women of reproductive age (WRA, 15 to 49 years) due to physiological and socioeconomic factors. …”
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6003
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Table 1_Long-term oyster shell powder applications increase crop yields and control soil acidity and cadmium in red soil drylands.docx
Published 2025“…Their exchangeable hydrogen contents decreased by 10.17%-24.24%, 16.67%-27.94%, and 23.40%-29.44%. …”
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6007
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6008
Image 1_Lower hippocampal volumes at baseline are associated with higher volume loss in healthy elderly.png
Published 2025“…Small, but statistically significant positive correlations were found between baseline hippocampal z-scores and APC of hippocampal volumes over time, indicating that the lower the volume at baseline, the greater the atrophy rate to timepoint two (right hippocampus: r = 0.17, p = 0.01; left hippocampus: r = 0.14, p = 0.03). …”
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Table2_Global, regional, and national time trends in ischaemic heart disease incidence over three decades (1990–2019): an age-period-cohort analysis of the global burden of disease...
Published 2024“…Between 1990 and 2019, the net drift of IHD incidence exhibited a range from −1.7% per year [95% confidence interval (CI): −1.79, −1.61] in countries with a high socio-demographic index (SDI) to 0.08% per year (95% CI: 0.05, 0.11) in countries with a low SDI. …”
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6011
Table1_Global, regional, and national time trends in ischaemic heart disease incidence over three decades (1990–2019): an age-period-cohort analysis of the global burden of disease...
Published 2024“…Between 1990 and 2019, the net drift of IHD incidence exhibited a range from −1.7% per year [95% confidence interval (CI): −1.79, −1.61] in countries with a high socio-demographic index (SDI) to 0.08% per year (95% CI: 0.05, 0.11) in countries with a low SDI. …”
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6012
Datasheet1_Global, regional, and national time trends in ischaemic heart disease incidence over three decades (1990–2019): an age-period-cohort analysis of the global burden of dis...
Published 2024“…Between 1990 and 2019, the net drift of IHD incidence exhibited a range from −1.7% per year [95% confidence interval (CI): −1.79, −1.61] in countries with a high socio-demographic index (SDI) to 0.08% per year (95% CI: 0.05, 0.11) in countries with a low SDI. …”
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6013
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6014
Table 6_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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6015
Table 7_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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6016
Table 5_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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6017
Table 3_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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Table 4_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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Table 2_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”
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Table 1_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx
Published 2025“…This study employs a robust three-stage Data Envelopment Analysis (DEA) framework integrated with the Malmquist index to evaluate the agricultural efficiency of 16 cities in Anhui Province, China. …”