51 research outputs found

    Operator Norm Bounds on the Correlation Matrix of the SK Model at High Temperature

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    We prove that the two point correlation matrix M=(⟚σi;σj⟩)1≀i,j≀N∈RN×N \textbf{M}= (\langle \sigma_i ; \sigma_j\rangle)_{1\leq i,j\leq N} \in \mathbb{R}^{N\times N} of the Sherrington-Kirkpatrick model has the property that for every Ï”>0\epsilon>0 there exists KÏ”>0K_\epsilon>0, that is independent of NN, such that P(∄M∄op≀KÏ”)≄1−ϔ \mathbb{P}\big( \| \textbf{M} \|_{\text{op}} \leq K_{\epsilon}\big) \geq 1- \epsilon for NN large enough, for suitable interaction and external field parameters (ÎČ,h)(\beta,h) in the replica symmetric region. In other words, the operator norm of M\textbf{M} is of order one with high probability. Our results are in particular valid for all (ÎČ,h)∈(0,1)×(0,∞) (\beta,h)\in (0,1)\times (0,\infty) and thus complement recently obtained results in \cite{EAG,BSXY} that imply the operator norm boundedness of M\textbf{M} for all ÎČ<1\beta<1 in the special case of vanishing external field.Comment: 33 page

    Optimal Rate for Bose-Einstein Condensation in the Gross-Pitaevskii Regime

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    We consider systems of bosons trapped in a box, in the Gross-Pitaevskii regime. We show that low-energy states exhibit complete Bose-Einstein condensation with an optimal bound on the number of orthogonal excitations. This extends recent results obtained in \cite{BBCS1}, removing the assumption of small interaction potential.Comment: 99 pages, typos correcte

    Gene expression profiling in whole blood of patients with coronary artery disease

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    Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2×10−16). In conclusion, using whole blood as a ‘surrogate tissue’ in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease
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