Search alternatives:
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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Pharmacological suppression of local activity abolishes non-linear interactions.
Published 2013“…<p>A: General decrease in average rectified current source density (AVREC) caused by muscimol application (100 ms post-stimulus window, mean of both unisensory stimuli, n = 5, <i>P</i><0.05, U test). …”
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<b>LINEAR PROGRAMMED DIETARY PLAN DATASET </b><b>ON IMPROVING ENERGY INTAKE AMONG CHILDREN LIVING WITH HIV AGED 2-5 YEARS</b>a
Published 2024“…This study dataset was collected to test the effectiveness of a linear programmed dietary plan in improving the energy intake of children living with HIV aged 2-5 years in the Simiyu region in Tanzania.…”
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908
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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%. …”
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920
Schematic of the Baidu SVI collection.
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%. …”