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visualizations In Figs. 5 and 6 , it can be seen that nodes in the largest cluster based on k -means (i.e., the bright blue bubbles) are scattered throughout the whole graph, suggesting that there are inconsistencies in the results for k -means and VOSviewer

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10 Dong Guan Bright Yin Huey Lighting I 110 4 0 18 17 1

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effectiveness in order to climb up in the rankings, hiring bright individuals would not suffice alone. In order to test the effect of inbreeding on scientific productivity with the data collected from universities, a negative binomial model is used. In

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Economy Report 2007 ). ICT industry growth in China is very well in comparison to Indian ICT industry. China's domestic ICT market showed its bright prospects for continued growth in 2005–2009. End-user IT spending in China passed $119 billion

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mathematics, but there is not a bright-line separation of statistics or computer science from mathematics and applied mathematics. The Annual Survey groups MSC classification numbers into twelve fields for the purpose of classifying doctoral theses by area and

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these shifts determining the brightness of the displayed images, whilst colorization is achieved in Ch-LCDs when the pitch lengths of the molecules are altered. Although Ch-LCD technology appears to have some attraction, slow response time and high cost

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brightness to subtly awaken its user. In this way a set of features may remain the same (e.g., a light and an alarm clock), even as different connections may be revealed, identified or selected between them (e.g., bedside nighttime activities, or an awakening

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displays several characteristics of the relational association between concepts, as determined through the co-occurrence matrix: (1) concept frequency (reported in tables and demonstrated as brightness of the concept representation dot), (2) total concept

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, for a few flaws, and a brightness and market power that may have deterred users from looking aside; but also scapegoat, for misuses and abuses. 1 JKV in the followings

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/Littlefield . Carolan , M 2008 The bright- and blind-spots of science: Why objective knowledge is not enough to resolve environmental controversies . Critical Sociology 34 5 725 – 740 10

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