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QoS Aware Energy Allocation Policy for Renewable Energy Powered Cellular Networks
( Qiao Li ),( Yifei Wei ),( Mei Song ),( F. Richard Yu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10
The explosive wireless data service requirement accompanied with carbon dioxide emission and consumption of traditional energy has put pressure on both industria and academia. Wireless networks powered with the uneven and intermittent generated renewable energy have been widely researched and lead to a new research paradigm called green communication. In this paper, we comprehensively consider the total generated renewable energy, QoS requirement and channel quality, then propose a utility based renewable energy allocation policy. The utility here means the satisfaction degree of users with a certain amount allocated renewable energy. The energy allocation problem is formulated as a constraint optimization problem and a heuristic algorithm with low complexity is derived to solve the raised problem. Numerical results show that the renewable energy allocation policy is applicable not only to soft QoS, but also to hard QoS and best effort QoS. When the renewable energy is very scarce, only users with good channel quality can achieve allocated energy.
Brain mu-opioid receptor binding: relationship to relapse to cocaine use after monitored abstinence.
Gorelick, David A,Kim, Yu Kyeong,Bencherif, Badreddine,Boyd, Susan J,Nelson, Richard,Copersino, Marc L,Dannals, Robert F,Frost, J James Springer-Verlag 2008 Psychophamacology Vol.200 No.4
<P>Cocaine users have increased regional brain mu-opioid receptor (mOR) binding which correlates with cocaine craving. The relationship of mOR binding to relapse is unknown.</P>
Genome evolution and adaptation in a long-term experiment with Escherichia coli
Barrick, Jeffrey E.,Yu, Dong Su,Yoon, Sung Ho,Jeong, Haeyoung,Oh, Tae Kwang,Schneider, Dominique,Lenski, Richard E.,Kim, Jihyun F. Macmillan Publishers Limited. All rights reserved 2009 Nature Vol.461 No.7268
The relationship between rates of genomic evolution and organismal adaptation remains uncertain, despite considerable interest. The feasibility of obtaining genome sequences from experimentally evolving populations offers the opportunity to investigate this relationship with new precision. Here we sequence genomes sampled through 40,000 generations from a laboratory population of Escherichia coli. Although adaptation decelerated sharply, genomic evolution was nearly constant for 20,000 generations. Such clock-like regularity is usually viewed as the signature of neutral evolution, but several lines of evidence indicate that almost all of these mutations were beneficial. This same population later evolved an elevated mutation rate and accumulated hundreds of additional mutations dominated by a neutral signature. Thus, the coupling between genomic and adaptive evolution is complex and can be counterintuitive even in a constant environment. In particular, beneficial substitutions were surprisingly uniform over time, whereas neutral substitutions were highly variable.