Search alternatives:
significant sequential » significant potential (Expand Search), significant spatial (Expand Search)
increase decrease » increased release (Expand Search)
significant sequential » significant potential (Expand Search), significant spatial (Expand Search)
increase decrease » increased release (Expand Search)
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Supplementary file 1_Therapeutic efficacy and safety of Xuebijing in traumatic brain injury: systematic review and meta-analysis.docx
Published 2025“…No significant increase in adverse drug events (ADEs) was observed (RR = 1.32, 95% CI 0.58–2.96). …”
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Long-term impact of molecular epidemiology shifts of methicillin-resistant <i>Staphylococcus aureus</i> on severity and mortality of bloodstream infection
Published 2025“…Over this 16-year period, SCC<i>mec</i> type II decreased significantly from 79.2% to 15.5%, while type IV increased from 18.2% to 65.5%. …”
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Data_Sheet_1_Temporal Asynchrony but Not Total Energy Nor Duration Improves the Judgment of Numerosity in Electrotactile Stimulation.docx
Published 2020“…The experiment confirmed that the subject ability to enumerate electrotactile stimuli decreased with increasing the number of active electrodes. …”
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Table_1_Long-Term Effects of Climate and Competition on Radial Growth, Recovery, and Resistance in Mongolian Pines.docx
Published 2021“…After exposure to multiple sequential drought events, the relative resilience of high-CI stands decreased to almost zero; this failure to fully recover to pre-drought growth rates suggests increased mortality in the future. …”
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Evolutionary and ecological forces shape nutrient strategies of mycorrhizal woody plants
Published 2023“…<p dir="ltr">The associations of arbuscular mycorrhizal (AM) or ectomycorrhiza (EcM) fungi with plants have sequentially evolved and significantly contributed to enhancing plant nutrition. …”
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Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event
Published 2025“…It implicitly learns seasonal patterns from predictor seasonality and was trained using only time periods with measured PM₂.₅ (PM2.5_Source = 1). …”