The shifts in relative phase that are observed when rhythmically coordinated limbs are submitted to asymmetric mass perturbations have typically been attributed to the induced eigenfrequency difference (delta omega) between limbs. Modeling the moving limbs as forced linear oscillators, however, reveals that asymmetric mass perturbations may induce a difference not only in eigenfrequency (i.e., ...

Sea surface temperature (SST) data are often provided as gridded products, typically at resolutions of order 0.05◦ from satellite observations to reduce data volume at the request of data users and facilitate comparison against other products or models. Sampling uncertainty is introduced in gridded products where the full surface area of the ocean within a grid cell cannot be fully observed bec...

يديوتامورلا لصافلما باهتلا ضيرم180 ةساردلا تلمش :جئاتنلا عافترا نأ جئاتنلا ترهظأ .)اًماع 40.49±12.19 رمعلا طسوتم( يف LDL لدعم و )55.1%(لورتسلوكلا لدعم عافترا راشتنا لدعم عافترا ينب ةيئاصحإ ةوق تاذ ةقلاع دوجو نع تفشك .)51.2%( ىلع ةولاعو .)p=0.002( CRP لا هبسن عافترا و لورتسيلوكلا طاشنو يلكلا لورتسلوكلا ينب ةيباجيإ ةقلاع دوجو انظحلا ،كلذ طاقن رخآ ضرم ةكرتشلما اًماع 28 مادختساب اهسايق تم امك ،ضرلما ...

WinBUGS code to fit the multivariate Bayesian relative risk model: model{ for( i in 1 : N ) { for( j in 1 : K ) { Y[i, j] ~ dpois(lambda[i, j]) # distribution of observations lambda[i, j] E[i, j] * theta[i, j] theta[i, j] exp(phi[ i, j]) # log parametrization } phi[i, 1:K ] ~ dmnorm(mu[ ], Omega[, ]) } for(j in 1:K){ mu[j] ~ dunif( 2,2) } Omega[1:K, 1:K ] ~ dwish(R[, ], 12) # Wishart on prec. m...

In part 1 of our review on somatostatin (SST) receptor biology in neuroendocrine tumours, the somatostatin receptor (SSTR) as a G-protein coupled receptor (GPCR), and the anti-tumour effects of SST and SSTR post-signalling pathways, were reviewed. To recapitulate, SST is a peptide hormone which acts mainly as an inhibitor in many endocrine systems. SST has five receptor subtypes (SSTR1–5) with ...

The primary measure of the quality of sea surface temperature (SST) fields obtained from satellite-borne infrared sensors has been the bias and variance of matchups with co-located in-situ values. Because such matchups tend to be widely separated, these bias and variance estimates are not necessarily a good measure of small scale (several pixels) gradients in these fields because one of the pri...

Viterbi decoders employed in digital wireless communications are complex and dissipate large amount of power. In this paper, we investigate power dissipation of Radix-4 Viterbi decoder and SST (Scarce State Transition) Radix-4 Viterbi decoder with changing the constraint length K (namely, K=3, 4). We presents a low power, high-rate Viterbi decoder using SST scheme and Radix-4 trellis. The SST m...

In low-rank & sparse matrix decomposition, the entries of the sparse part are often assumed to be i.i.d. sampled from a random distribution. But the structure of sparse part, as the central interest of many problems, has been rarely studied. One motivating problem is tracking multiple sparse object flows (motions) in video. We introduce “shifted subspaces tracking (SST)” to segment the motions ...

Fatty acids are among the least understood nutrients in marine environments, despite their profile as key energy components of food webs and that they are essential to all life forms. Presented here is a novel approach to predict the spatial-temporal distributions of fatty acids in marine resources using generalized additive mixed models. Fatty acid tracers (FAT) of key primary producers, nutri...