9,490 research outputs found

    Orbital-transverse density-wave instabilities in iron-based superconductors

    Full text link
    Besides the conventional spin-density-wave (SDW) state, a new kind of orbital-transverse density-wave (OTDW) state is shown to exist generally in multi-orbital systems. We demonstrate that the orbital character of Fermi surface nesting plays an important role in density responses. The relationship between antiferromagnetism and structural phase transition in LaFeAsO (1111) and BaFe2_2As2_2 (122) compounds of iron-based superconductors may be understood in terms of the interplay between the SDW and OTDW with a five-orbital Hamiltonian. We propose that the essential difference between 1111 and 122 compounds is crucially determined by the presence of the two-dimensional dxyd_{xy}-like Fermi surface around (0,0) being only in 1111 parent compounds.Comment: several parts were rewritten for clarity. 6 pages, 3 figures, 1 tabl

    Photon-assisted Fano Resonance and Corresponding Shot-Noise in a Quantum Dot

    Full text link
    We have studied the Fano resonance in photon-assisted transport in a quantum dot and calculated both the coherent current and spectral density of shot noise. It is predicted, for the first time, that the shape of Fano profile will also appear in satellite peaks. It is found that the variations of Fano profiles with the strengths of nonresonant transmissions are not synchronous in absorption and emission sidebands. The effect of interference on photon-assisted pumped current has been also investigated. We further predict the current and spectral density of shot noise as a function of the phase, which exhibits an intrinsic property of resonant and nonresonant channels in the structures.Comment: 4 pages, 5 figure

    Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Protein-protein interaction networks and phenotype similarity information have been synthesized together to discover novel disease-causing genes. Genetic or phenotypic similarities are manifested as certain modularity properties in a phenotype-gene heterogeneous network consisting of the phenotype-phenotype similarity network, protein-protein interaction network and gene-disease association network. However, the quantitative analysis of modularity in the heterogeneous network and its influence on disease-gene discovery are still unaddressed. Furthermore, the genetic correspondence of the disease subtypes can be identified by marking the genes and phenotypes in the phenotype-gene network. We present a novel network inference method to measure the network modularity, and in particular to suggest the subtypes of diseases based on the heterogeneous network.</p> <p>Results</p> <p>Based on a measure which is introduced to evaluate the closeness between two nodes in the phenotype-gene heterogeneous network, we developed a Hitting-Time-based method, CIPHER-HIT, for assessing the modularity of disease gene predictions and credibly prioritizing disease-causing genes, and then identifying the genetic modules corresponding to potential subtypes of the queried phenotype. The CIPHER-HIT is free to rely on any preset parameters. We found that when taking into account the modularity levels, the CIPHER-HIT method can significantly improve the performance of disease gene predictions, which demonstrates modularity is one of the key features for credible inference of disease genes on the phenotype-gene heterogeneous network. By applying the CIPHER-HIT to the subtype analysis of Breast cancer, we found that the prioritized genes can be divided into two sub-modules, one contains the members of the Fanconi anemia gene family, and the other contains a reported protein complex MRE11/RAD50/NBN.</p> <p>Conclusions</p> <p>The phenotype-gene heterogeneous network contains abundant information for not only disease genes discovery but also disease subtypes detection. The CIPHER-HIT method presented here is effective for network inference, particularly on credible prediction of disease genes and the subtype analysis of diseases, for example Breast cancer. This method provides a promising way to analyze heterogeneous biological networks, both globally and locally.</p

    Personal history of non-melanoma skin cancer diagnosis and death from melanoma in women

    Get PDF
    Melanoma incidence is increasing. We evaluated risk of melanoma death after diagnosis of non-melanoma skin cancer (NMSC). We followed 77,288 female American nurses from the Nurses’ Health Study from 1986 to 2012. We used Cox proportional hazards models to determine the hazard ratio (HR) of lethal and non-lethal melanoma diagnosis and melanoma death, according to personal NMSC history. Among melanoma cases, we examined the HR of melanoma death and the odds ratio (OR) of melanoma with a Breslow thickness ≥0.8 mm or Clark's levels of IV and V according to history of NMSC. We documented 930 melanoma cases without NMSC history and 615 melanoma cases with NMSC history over 1.8 million person-years. The multivariate-adjusted HR (95% confidence interval) of melanoma death associated with personal history of NMSC was 2.89 (1.85–4.50). Women with history of NMSC were more likely to develop non-lethal melanoma than lethal melanoma (HR (95% CI): 2.31 (2.05–2.60) vs. 1.74 (1.05–2.87)). Among melanoma cases, women with history of NMSC had a non-significant decreased risk of melanoma deaths (0.87 (0.55–1.37)), Breslow thickness ≥0.8 mm (0.85 (0.59–1.21)) and Clark's levels IV and V (0.81(0.52–1.24)). Women with NMSC history were less likely to be diagnosed with a lethal melanoma than a non-lethal melanoma, but overall rate of melanoma diagnosis was increased in both subtypes, leading to the increased risk of melanoma death. Our findings suggest the continued need for dermatologic screening for patients after NMSC diagnosis, given increased melanoma risk. Early detection among NMSC patients may decrease deaths from melanoma

    Enhanced transmission of optically thick metallic films at infrared wavelengths

    Full text link
    For an optically thick metallic film, the transmission for both s- and p-polarized waves is extremely low. If the metallic film is coated on both sides with a finite dielectric layer, light transmission for pp-polarized waves can be enhanced considerably. This enhancement is not related to surface plasmon-polaritions. Instead, it is due to the interplay between Fabry-Perot interference in the coated dielectric layer and the existence of the Brewster angle at the dielectric/metallic interface. It is shown that the coated metallic films can act as excellent polarizers at infrared wavelengths.Comment: 3 pages, 4 figures. Submitted to Appl. Phys. Let

    Determining layer number of two dimensional flakes of transition-metal dichalcogenides by the Raman intensity from substrate

    Full text link
    Transition-metal dichalcogenide (TMD) semiconductors have been widely studied due to their distinctive electronic and optical properties. The property of TMD flakes is a function of its thickness, or layer number (N). How to determine N of ultrathin TMDs materials is of primary importance for fundamental study and practical applications. Raman mode intensity from substrates has been used to identify N of intrinsic and defective multilayer graphenes up to N=100. However, such analysis is not applicable for ultrathin TMD flakes due to the lack of a unified complex refractive index (n~\tilde{n}) from monolayer to bulk TMDs. Here, we discuss the N identification of TMD flakes on the SiO2_2/Si substrate by the intensity ratio between the Si peak from 100-nm (or 89-nm) SiO2_2/Si substrates underneath TMD flakes and that from bare SiO2_2/Si substrates. We assume the real part of n~\tilde{n} of TMD flakes as that of monolayer TMD and treat the imaginary part of n~\tilde{n} as a fitting parameter to fit the experimental intensity ratio. An empirical n~\tilde{n}, namely, n~eff\tilde{n}_{eff}, of ultrathin MoS2_{2}, WS2_{2} and WSe2_{2} flakes from monolayer to multilayer is obtained for typical laser excitations (2.54 eV, 2.34 eV, or 2.09 eV). The fitted n~eff\tilde{n}_{eff} of MoS2_{2} has been used to identify N of MoS2_{2} flakes deposited on 302-nm SiO2_2/Si substrate, which agrees well with that determined from their shear and layer-breathing modes. This technique by measuring Raman intensity from the substrate can be extended to identify N of ultrathin 2D flakes with N-dependent n~\tilde{n} . For the application purpose, the intensity ratio excited by specific laser excitations has been provided for MoS2_{2}, WS2_{2} and WSe2_{2} flakes and multilayer graphene flakes deposited on Si substrates covered by 80-110 nm or 280-310 nm SiO2_2 layer.Comment: 10 pages, 4 figures. Accepted by Nanotechnolog
    • …
    corecore