Search alternatives:
significant rate » significant rates (Expand Search), significant role (Expand Search), significant rise (Expand Search)
new decrease » we decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
rate based » rule based (Expand Search), made based (Expand Search), game based (Expand Search)
significant rate » significant rates (Expand Search), significant role (Expand Search), significant rise (Expand Search)
new decrease » we decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
rate based » rule based (Expand Search), made based (Expand Search), game based (Expand Search)
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Pre- and post-training confidence and anxiety levels based on participants’ level of training.
Published 2023Subjects: -
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Multiple publication rates based upon gender alignment between first/last significant author.
Published 2022“…<p>Multiple publication rates based upon gender alignment between first/last significant author.…”
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App user base growth trends.
Published 2025“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
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Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species.
Published 2024“…<p>Evaluating models based on the most significant oscillation variables that contribute to the catch rate of each marlin species.…”
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Yearly crude rates stratified by age from 1999 to 2024 and by race from 1999 to 2020.
Published 2025Subjects: -
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Significance test results.
Published 2025“…<div><p>The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”