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step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a step » _ step (Expand Search)
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a step » _ step (Expand Search)
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1561
A structured training program for health workers in intravenous treatment with fluids and antibiotics in nursing homes: A modified stepped-wedge cluster-randomised trial to reduce...
Published 2017“…</p><p>Design</p><p>A pragmatic and modified cluster randomized stepped-wedge trial with randomization on nursing home level.…”
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1562
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1564
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1566
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1568
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1569
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1570
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1571
Decreased Brain Levels of Vitamin B12 in Aging, Autism and Schizophrenia
Published 2016“…Total Cbl was significantly lower in older control subjects (> 60 yrs of age), primarily reflecting a >10-fold age-dependent decline in the level of MeCbl. …”
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1572
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1573
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1574
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1577
Decrease of the concentration of thymosin β<sub>4</sub> (white symbols) and thymosin β<sub>10</sub> (black symbols) in whole saliva as a function of postmenstrual age (days) of a pre-term newborn.
Published 2013“…<p>Decrease of the concentration of thymosin β<sub>4</sub> (white symbols) and thymosin β<sub>10</sub> (black symbols) in whole saliva as a function of postmenstrual age (days) of a pre-term newborn.…”
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1578
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1579
Estimating Missing Unit Process Data in Life Cycle Assessment Using a Similarity-Based Approach
Published 2018“…We use the ecoinvent 3.1 unit process data sets to test our method in four steps: (1) dividing the data sets into a training set and a test set; (2) randomly removing certain numbers of data in the test set indicated as missing; (3) using similarity-weighted means of various numbers of most similar processes in the training set to estimate the missing data in the test set; and (4) comparing estimated data with the original values to determine the performance of the estimation. …”
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1580