Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's "functional connectome." Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain-behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. Highthroughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/.

The interaction between Rutin-Ce and Lysozyme was studied using fluorescence，absorption, and circular dichroism spectra under simulative physiological conditions. The fluorescence quenching data show the presence of the static quenching mechanism. The binding constants (KA) are 1.14×104（298K）, 8.67×103（303K）, and 4.57×103（308K）L•mol-1, the binding sites (n) are approximately to1. The thermodynamic parameters (ΔHθ and ΔSθ) for the reaction further indicate both Van der Waals force and hydrogen bonds played key roles in the interaction accroding to Ross’s theory. The analyses of synchronous fluorescence spectra and CD spectra revealed Lysozyme conformation change in the presence of Rutin-Ce. The results provide some valuable information for Rutin drug design and pharmaceutical research.

In this paper, left derivations and Jordan left derivations in full and upper triangular matrix rings over unital associative rings are characterized. http://math.technion.ac.il/iic/elaProof. By µ(e) = µ(e 2 ) = 2eµ(e), we have that eµ(e) = e(2eµ(e)) = 2eµ(e). Hence eµ(e) = 0, and then µ(e) = 2eµ(e) = 0. http://math.technion.ac.il/iic/ela ELA Jordan Left Derivations in Full and Upper Triangular Matrix Rings 755Remark 1.2. Let µ : M n (R) → M n (V ) (resp., µ : T n (R) → T n (V )) be a module Jordan left derivation. Then µ(e ii ) = 0 for all 1 ≤ i ≤ n, and µ(xe ij ) = 0 for all x ∈ R and for all i = j (resp., i < j).Proof. By Remark 1.1, we have µ(e ii ) = 0 for all 1 ≤ i ≤ n and µ(e ii + xe ij ) = 0 for all x ∈ R and for all i = j (resp., i < j). Hence, µ(xe ij ) = µ(e ii +xe ij )−µ(e ii ) = 0 for all i = j (resp., i < j).Remark 1.3. Let µ : R → V be a module left derivation. Then xy − yx ∈ ker µ for all x, y ∈ R.2xe ii µ(xe ii ) = µ((xe ii ) 2 ) = µ(((x − 1)e ii + I) 2 ) = 2((x − 1)e ii + I)µ((x − 1)e ii + I) = 2((x − 1)e ii + I)µ(xe ii ).

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Shengqing Capsules can reduce the rate of stone-formation, which may be due to its interference of metabolism of bilirubin and cholesterol and up-regulation of the expressions of B-UGT and CYP7A1 mRNAs.