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Several of the above results emphasize the importance of focusing road safety measures on large target groups in addition to identified risk groups.
In order for this to happen, technical platforms are required to collect patient-reported outcome measures on large numbers of patients.
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A simply feasible but less accurate absolute accuracy compensation method using tape measure on large distances was also tested, which resulted in similar scaling compensation compared to the surveying method or direct wand size compensation by a high precision 3D scanner.
In this paper, the electrochemical current noise (ECN) signals were measured on large symmetrical (100 100 mm2), small symmetrical (1 1 mm2) and asymmetrical electrodes (1 100 mm2) made of AA6061 and AA2024 alloys in 1.0 M chloride solutions at different pH values (6, 2, 1 and 0.4).
In addition, the current measured on large QDs are larger than that measured on small QDs, which means that, the current increases with the dot size.
Under the plasma conditions used, the etch rate in SF6 gas measured on large patterned areas (100 × 100 μm2) is approximately 700 nm/min and etching is isotropic.
Though mRNA expression levels are now routinely measured on large scale, methods of high-throughput protein identification like western blotting, 2D gel electrophoresis and green-fluorescent protein (GFP) fusion tagging are very expensive in labor, time and resources.
Compared to small-scale cylinder-on-plate and bloc-on-ring tests, friction coefficients measured on large-scale tests are much lower due to large polymer transfer, while wear rates are much higher.
Looking forward, techniques such as these are likely to become increasingly important as the political and social sciences rely in greater measure on large-scale digital trace data describing human opinion and behavior.
But he underscored that implementing such measures on a large scale will require many improvements over the relatively crude devices used in the study. .
It is demonstrated how the selection of a measure, based on large scale evaluation, substantially improves the quality of classification, retrieval, and unsupervised segmentation of color and texture images.
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