بدائل البحث:
reduction decrease » reduction decreased (توسيع البحث), reduction reuse (توسيع البحث), production increases (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
reduction decrease » reduction decreased (توسيع البحث), reduction reuse (توسيع البحث), production increases (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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Study-related adverse events.
منشور في 2025"…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"
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Study flow chart.
منشور في 2025"…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"
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Study CONSORT diagram.
منشور في 2025"…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"
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Primer sequences used for RT-PCR.
منشور في 2025"…Notably, SIRT1 levels decrease with age in both mice and during cellular senescence, highlighting its significance in anti-aging processes. …"
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Scores vs Skip ratios on single-agent task.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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Time(s) and GFLOPs savings of single-agent tasks.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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The source code of LazyAct.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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Win rate vs Skip ratios on multi-agents tasks.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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Visualization on SMAC-25m based on <i>LazyAct</i>.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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Single agent and multi-agents tasks for <i>LazyAct</i>.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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Network architectures for multi-agents task.
منشور في 2025"…Extensive experimental results indicate that <i>LazyAct</i> reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …"
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12
Table 1_Body mass index influences Antimüllerian Hormone and inhibin B in adult males.xls
منشور في 2025"…However, due to the low effect size of BMI/AMH, caution is needed in interpreting its clinical significance. Although we found a non-linear relationship and key thresholds between these variables, further studies with larger sample sizes are needed to confirm these findings.…"
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