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Routh, VH (2002) Glucose-sensing neurons: Are they physiologically relevant Physiology & Behavior, 76, 403 13 Rozin, P, Hanko, K and Durlach, P (2006) Selfprediction of hedonic trajectories for repeated use of body products and foods: poor performance, not improved by a full generation of experience Appetite, 46, 297 303 Rushing, PA, Hagan, MM, Seeley, RJ et al (2001) Inhibition of central amylin signaling increases food intake and body adiposity in rats Endocrinology, 142 (11), 5035 Russek, M (1963) Participation of hepatic glucoreceptors in control of intake of food Nature, 197, 79 80 Sakurai, T (2002) Roles of orexins in regulation of feeding and wakefulness Neuroreport, 13, 987 95 Sanchez-Margalet, V, Martin-Romero, C, Santos-Alvarez, J et al (2003) Role of leptin as an immunomodulator of blood mononuclear cells: mechanisms of action Clinical and Experimental Immunology, 133, 11 9 Saper, CB.

The geometry-based shared space is based on the tuple space model, in which processes interact by sharing tuples in an associatively shared tuple space However, implementation of generic and global tuple spaces remains a challenge The overheads are caused by the generic tuple sharing that requires pattern matching on tuple elds and global tuple sharing that requires operations to be potentially on the entire system In order to make the model practical for parallel scienti c applications, customizations are made to specialize the generic and global tuple sharing into domain-speci c tuple sharing, that is, the geometry-based shared space The geometry-based shared space is able to extract the domain-speci c information necessary for coupling from the application by using tuples to describe the degree of freedom And interactions are usually localized to subspaces of the entire shared space, therefore, avoiding global tuple sharing that impedes scalability of the system.

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(2006) Staying awake for dinner: hypothalamic integration of sleep, feeding, and circadian rhythms Progress in Brain Research, 153, 243 52 Savage, DB, Choi, CS, Samuel, VT et al (2006) Reversal of diet-induced hepatic steatosis and hepatic insulin resistance by antisense oligonucleotide inhibitors of acetyl-CoA carboxylases 1 and 2 Journal of Clinical Investigation, 116, 817 24 Sawchenko, PE and Swanson, LW (1982) Immunohistochemical identi cation of neurons in the paraventricular nucleus of the hypothalamus that project to the medulla or to the spinal-cord in the rat Journal of Comparative Neurology, 205, 260 72 Schmidt, PT, N slund, E, Gryb ck, P et al (2003) Peripheral administration of GLP-2 to humans has no effect on gastric emptying or satiety Regulatory Peptides, 116, 21 5 Schultz, W (2006) Behavioral theories and the neurophysiology of reward Annual Review of Psychology, 57, 87 115.

Schutt, C, Bernheiden, M, Grunwald, U et al (1999) Implications for a general role of LPS-binding proteins (CD14, LBP) in combating bacterial infections Journal of Endotoxin Research, 5, 75 80 Schwartz, MW, Seeley, RJ, Camp eld, LA et al (1996) Identi cation of targets of leptin action in rat hypothalamus Journal of Clinical Investigation, 98, 1101 6 Schwartz, MW, Woods, SC, Seeley, RJ et al (2003) Is the energy homeostasis system inherently biased toward weight gain Diabetes, 52, 232 8 Sclafani, A (2001) Psychobiology of food preferences International Journal of Obesity, 25, S13 5 Scott, TR and Giza, BK (2000) Issues of gustatory neural coding: Where they stand today Physiology & Behavior, 69, 65 76 Simerly, RB (2004) Anatomical substrates of hypothalamic integration, in The Rat Nervous System (ed G Paxinos), Elsevier, Amsterdam, pp.

2. The network utilization is a function of perceived and system data rates Calculate sector loading efficiency This relationship between the perceived data rate and system data rate is important in sizing shared resource networks such as cable or radio sector based. The notion behind this relationship is if the network were at 100% capacity then a subscriber in an idle mode (reading downloaded material) transitioning to an active mode (requesting the next bit of information) would have to wait in the queue until there is an opening for that request t o be serviced. This queue period degrades the perception of megabit per second broadband connectivity. In order to size the utilization factor of this shared resource (wireless communications sector) N.K. Shankaranarayanan [8] has established the following [9] relationship: PDR=SDR x (1-sector loading efficiency) where the PDR is the Perceived Data Rate and the SDR is the Sector Data Rate.

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