2,176 research outputs found
N-CycloÂhexyl-3-(4-hydrÂoxy-6-oxo-1,6-dihydroÂpyrimidin-5-yl)-3-p-tolylÂpropanamide
In the molÂecule of the title compound, C20H25N3O3, the aromatic rings are oriented at a dihedral angle of 88.36 (3)°. The cycloÂhexane ring adopts a chair conformation. In the crystal structure, interÂmolecular N—H⋯O and O—H⋯N hydrogen bonds link the molÂecules. C—H⋯π interÂactions are also present
Systemic risk and spatiotemporal dynamics of the US housing market
Housing markets play a crucial role in economies and the collapse of a real-estate bubble usually destabilizes the financial system and causes economic recessions. We investigate the systemic risk and spatiotemporal dynamics of the US housing market (1975–2011) at the state level based on the Random Matrix Theory (RMT). We identify richer economic information in the largest eigenvalues deviating from RMT predictions for the housing market than for stock markets and find that the component signs of the eigenvectors contain either geographical information or the extent of differences in house price growth rates or both. By looking at the evolution of different quantities such as eigenvalues and eigenvectors, we find that the US housing market experienced six different regimes, which is consistent with the evolution of state clusters identified by the box clustering algorithm and the consensus clustering algorithm on the partial correlation matrices. We find that dramatic increases in the systemic risk are usually accompanied by regime shifts, which provide a means of early detection of housing bubbles.HM, WJX, ZQJ and WXZ received support from the National Natural Science Foundation of China Grant 11075054 and 71131007, the Shanghai (Follow-up) Rising Star Program Grant 11QH1400800, the Shanghai "Chen Guang'' Project Grant 2012CG34, and Fundamental Research Funds for the Central Universities. BP and HES received support from the Defense Threat Reduction Agency (DTRA), the Office of Naval Research (ONR), and the National Science Foundation (NSF) Grant CMMI 1125290. (11075054 - National Natural Science Foundation of China; 71131007 - National Natural Science Foundation of China; 11QH1400800 - Shanghai (Follow-up) Rising Star Program; 2012CG34 - Shanghai "Chen Guang'' Project; Fundamental Research Funds for the Central Universities; Defense Threat Reduction Agency (DTRA); Naval Research (ONR); CMMI 1125290 - National Science Foundation (NSF))Published versio
CRIT:Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization
Circular RNAs (circRNAs) are endogenous non-coding RNAs that regulate gene expression and participate in carcinogenesis. However, the RNA-binding proteins (RBPs) involved in circRNAs biogenesis and modulation remain largely unclear. We developed the circRNA regulator identification tool (CRIT), a non-negative matrix-factorization-based pipeline to identify regulating RBPs in cancers. CRIT uncovered 73 novel regulators across thousands of samples by effectively leveraging genomics data and functional annotations. We demonstrated that known RBPs involved in circRNA control are significantly enriched in these predictions. Analysis of circRNA-RBP interactions using two large cross-linking immunoprecipitation (CLIP) databases, we validated the consistency between CRIT prediction and the CLIP experiments. Furthermore, newly discovered RBPs are functionally connected with authentic circRNA regulators by various biological associations, such as physical interaction, similar binding motifs, common transcription factor modulation, and co-expression. When analyzing RNA sequencing (RNA-seq) datasets after short hairpin RNA (shRNA)/small interfering RNA (siRNA) knockdown, we found several novel RBPs that can affect global circRNA expression, which strengthens their role in the circRNA life cycle. The above evidence provided independent confirmation that CRIT is a useful tool to capture RBPs in circRNA processing. Finally, we show that authentic regulators are more likely the core splicing proteins and peripheral factors and usually harbor more alterations in the vast majority of cancers
The effects of the little Higgs models on production via collision at linear colliders
In the frameworks of the littlest Higgs() model and its extension with
T-parity(), we studied the associated production process at the future linear colliders
up to QCD next-to-leading order. We present the regions of
parameter space in which the and effects can and cannot be
discovered with the criteria assumed in this paper. The production rates of
process in different photon polarization
collision modes are also discussed. We conclude that one could observe the
effects contributed by the or model on the cross section for the
process in a reasonable parameter
space, or might put more stringent constraints on the / parameters in
the future experiments at linear colliders.Comment: 22 pages, 25 figures, version to appear in Phys. Rev.
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