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At large scales, fossil fuels are the dominant source of energy used for electricpower generation, mostly due to the low cost per joule, high energy density, abundant availability, storability, and ease of transport. Power plants typically convert the chemical energy of the fuel into thermal energy through combustion, then convert thermal to mechanical power by driving a heat engine that implements a thermodynamic cycle (such as gas turbines or internal combustion engines). The engine then entrains a magnetic generator to produce the electrical power. To date, the complexity and multitude of components involved in such a process have hindered the miniaturization of heat engines and power generation approaches based on combustion of hydrocarbon fuels. As the scale of a mechanical system is reduced, the tolerances must reduce accordingly, and the assembly process becomes increasingly challenging. This results in increasing costs per unit power and/or deteriorated performance. The extension of silicon microfabrication technology from microelectronics to microelectromechanical systems (MEMS) is changing this paradigm. Complex
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climate forcing and effects of the great Indo-Asian haze. Journal of Geophysical Research Atmospheres 2001; 106(D22): 28371 28398. O Dowd, C.D., Hameri, K., Makela, J.M., Pirjola, L., Kulmala, M., Jennings, S.G., Berresheim, H., Hansson, H.C., de Leeuw, G., Kunz, G.J., Allen, A.G., Hewitt, C.N., Jackson, A., Viisanen, Y. and Hoffmann, T. A dedicated study of New Particle Formation and Fate in the Coastal Environment (PARFORCE): overview of objectives and achievements. Journal of Geophysical Research Atmospheres 2002; 107(D19): 8108, doi: 10.1029/2001JD000555. Sander, R., Keene, W.C., Pszenny, A.A.P., Arimoto, R., Ayers, G.P., Baboukas, E., Cainey, J.M., Crutzen, P.J., Duce, R.A., Honninger, G., Huebert, B.J., Maenhaut, W., Mihalopoulos, N., Turekian, V.C. and Van Dingenen, R. Inorganic bromine in the marine boundary layer: a critical review. Atmospheric Chemistry and Physics 2003; 3: 1301 1336. IPCC. Third Assessment Report Climate Change 2001. Cambridge University Press, Cambridge: 2001. Bates, T.S., Kiene, R.P., Wolfe, G.V., Matrai, P.A., Chavez, F.P., Buck, K.R., Blomquist, B.W. and Cuhel, R.L. The cycling of sulfur in surface seawater of the Northeast Paci c. Journal of Geophysical Research Oceans 1994; 99(C4): 7835 7843. Legrand, M., Sciare, J., Jourdain, B. and Genthon, C. Subdaily variations of atmospheric dimethylsul de, dimethylsulfoxide, methanesulfonate, and non-sea-salt sulfate aerosols in the atmospheric boundary layer at Dumont d Urville (coastal Antarctica) during summer. Journal of Geophysical Research Atmospheres 2001; 106(D13): 14409 14422. Bardouki, H., Berresheim, H., Vrekoussis, M., Sciare, J., Kouvarakis, G., Oikonomou, K., Schneider, J. and Mihalopoulos, N. Gaseous (DMS, MSA, SO2 , H2 SO4 and DMSO) and particulate (sulfate and methanesulfonate) sulfur species over the northeastern coast of Crete. Atmospheric Chemistry and Physics 2003; 3: 1871 1886. Talbot, R.W., Andreae, M.O., Berresheim, H., Artaxo, P., Garstang, M., Harriss, R.C. and Beecher, K.M. Aerosol chemistry during the wet season in Central Amazonia: the in uence of long-range transport. Journal of Geophysical Research 1990; 95(D10): 16955 16969. Jaffe, D., McKendry, I., Anderson, T. and Price, H. Six new episodes of trans-Paci c transport of air pollutants. Atmospheric Environment 2003; 37(3): 391 404. Quinn, P.K., Coffman, D.J., Kapustin, V.N., Bates, T.S. and Covert, D.S. Aerosol optical properties in the marine boundary layer during the rst aerosol characterization experiment (ACE 1) and the underlying chemical and physical aerosol properties. Journal of Geophysical Research Atmospheres 1998; 103(D13): 16547 16563. Bates, T.S., Quinn, P.K., Coffman, D.J., Covert, D.S., Miller, T.L., Johnson, J.E., Carmichael, G.R., Uno, I., Guazzotti, S.A., Sodeman, D.A., Prather, K.A., Rivera, M., Russell, L.M. and Merrill, J.T. Marine boundary layer dust and pollutant transport associated with the passage of a frontal system over eastern Asia. Journal of Geophysical Research Atmospheres 2004; 109: D19S19, doi: 10.1029/2003JD004094. Dall Osto, M., Beddows, D.C.S., Kinnersley, R.P., Harrison, R.M., Donovan, R.J. and Heal, M.R. Characterization of individual airborne particles by using aerosol time-of- ight mass spectrometry at Mace Head, Ireland. Journal of Geophysical Research Atmospheres 2004; 109: D21302, doi: 10.1029/2004JD004747. Liu, D.Y., Wenzel, R.J. and Prather, K.A. Aerosol time-of- ight mass spectrometry during the Atlanta Supersite Experiment: 1. Measurements. Journal of Geophysical Research Atmospheres 2003; 108(D7): 8427, doi: 10.1029/2001JD001563. Raes, F. Entrainment of free tropospheric aerosols as a regulating mechanism for cloud condensation nuclei in the remote marine boundary-layer. Journal of Geophysical Research Atmospheres 1995; 100(D2): 2893 2903. Pakkanen, T.A. Study of formation of coarse particle nitrate aerosol. Atmospheric Environment 1996; 30(14): 2475 2482.
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Life span developmental approach, 645 658 affective changes over life span, 650 654 affect-related variables, distinguishing among, 651 behavioral changes over life span, 654 655 cognitive changes in the self over life span, 648 650 defining, 645 648 designing studies, 647 648 developmental tasks for life span periods, 648 development embedded in multiple contexts, 646 emotions, developmental features, 651 653 encouraging life span perspective, 657 658 future research, 655 658 measurement issues in developmental research, 656 657 overview/introduction, 645 plasticity, 646 self in adulthood, 649 650 self in childhood, 649 social relationships, and emotions, 653 654 teaching regulatory strategies, 655 Life span model of developmental challenge, 50 Lifestyle physical activity, 520 521 Linearity, 740 Linear-logistic test model (LLTM), 744 745 Local independence, 738 Location of residence (RESPECTFUL model), 839 Longitudinal patterns, theoretical frameworks in exercise psychology, 551 Maintenance years, 715 Major life events, and exercise adherence, 517 M ller-Lyer illusion, 253 Manifest variables, 738 739 Marginal maximum likelihood (MML) method, 750 Marksmen, 99 Maslach Burnout Inventory (MBI / MBS-GS), 625 629 Mastery climate versus public performance climate, 145 Mastery criteria, 4, 13 Maximum likelihood (ML) method, 780 781 conditional (CML), 750 joint (JML), 749, 750 marginal (MML), 750 unconditional (UML), 749, 750 MBI. See Maslach Burnout Inventory (MBI / MBI-GS) Meaning(s), 675 676 emphasis on utilitarian accomplishment, 612 613 paradoxical meanings of physical activity, 613 of physical activity, 612 613 Measurement reliability/validity, 757 772 affect-related performance zones, determining, 770 772 association versus stability, 758 Bland and Altman s method, 759 760 correlations, structural equations, and agreement measures, 758 759 differential stability, 759 effort sensations, coping with, 768 770 factorial invariance, 759 mean stability, 759 measurement error, 766 768 meeting measurement assumptions, 768 one-item measures, 768 772 overview/introduction, 757, 772 proposed method, 760 764 repeatability, 759 simulation, 764 766 stability of retrospective measures of introspection, 757 766
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Initiation of control signal interchange; Interpretation of received command PDUs and generation of appropriate response PDUs; Organization of data ow; and Actions regarding error-control and error-recovery functions in the LLC sublayer. As shown in Figure 11.3, the LLC accepts higher level user data and encapsulates it, forming an LLC PDU. The resulting LLC frame is embedded into the MAC user eld for transmission. The LLC is another derivative of HDLC, which was discussed in Section 10.10.3. It is based on the balanced mode of that link-layer protocol with similar formats and functions. This is particularly true when operating in the connection mode.
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where deg new is the new number of parameters, if changed in the model due to an evolution of the structure. So, the squared error on the m new samples is added to the squared error on the N previous samples and normalized with the whole number of samples seen so far minus the new degrees of freedom.
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