بدائل البحث:
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
less decrease » teer decrease (توسيع البحث), levels decreased (توسيع البحث), largest decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
less decrease » teer decrease (توسيع البحث), levels decreased (توسيع البحث), largest decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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1141
Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1142
Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1143
Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1144
Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1145
Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1146
Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1147
Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1148
Analytical framework and statistical methods.
منشور في 2024"…Our findings reveal significant variations in income insecurity and social protection responses across these groups. the pandemic had a significant impact on household incomes globally, with lower-middle-income countries experiencing the most significant income reductions. …"
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1149
Theoretical frameworks of social protection.
منشور في 2024"…Our findings reveal significant variations in income insecurity and social protection responses across these groups. the pandemic had a significant impact on household incomes globally, with lower-middle-income countries experiencing the most significant income reductions. …"
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1150
Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1151
Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1152
Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1153
Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif
منشور في 2025"…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …"
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1154
Structure diagram of ensemble model.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1155
Fitting formula parameter table.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1156
Test plan.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1157
Fitting surface parameters.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1158
Model generalisation validation error analysis.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1159
Empirical model prediction error analysis.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
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1160
Fitting curve parameters.
منشور في 2024"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"