Search alternatives:
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Microhardness vs. depth diagram of sample No. 6 (
Published 2025“…The Travel speed factor appears to have the greatest effect, followed by the gas flow rate and current intensity. …”
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Demographic characteristics of the COVID-19 cases within Azraq refugee camp.
Published 2025Subjects: -
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Trends of incidence per 1000 individuals over time by gender (A), age groups (B), and residence (C).
Published 2025Subjects: -
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Flow chart of sediment P fractionation procedure.
Published 2025“…The NH<sub>4</sub>Cl-Po and NaHCO<sub>3</sub>-Po concentrations in sediments showed the greatest decrease (accounting for 97.6% of total decrease) during the experiment. …”
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Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev...
Published 2025“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”
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Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev...
Published 2025“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”
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Importance of random forest model.
Published 2025“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”