11,509 research outputs found

    Trilogy on Computing Maximal Eigenpair

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    The eigenpair here means the twins consist of eigenvalue and its eigenvector. This paper introduces the three steps of our study on computing the maximal eigenpair. In the first two steps, we construct efficient initials for a known but dangerous algorithm, first for tridiagonal matrices and then for irreducible matrices, having nonnegative off-diagonal elements. In the third step, we present two global algorithms which are still efficient and work well for a quite large class of matrices, even complex for instance.Comment: Updated versio

    Quantum dissipative master equations: Some exact results

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    The results for two quantum dissipative master equations were derived with the help of quantum characterstics functions. These equations included disspative Liouvillian operators of the Lindblad type corresponding to two forms of dissipation mechanisms. The evoluton of level populations for an oscillator in a coherent state with certain displacement in undamped regime was also studied. The analysis suggested that the Hamiltonian represented the excited manifold with one primary oscillator in the Brownian oscillator model. The study also revealed that if the bath temperature was sufficiently high, the vibrational manifold could reach a Boltzmann-type distribution before it came ito full thermal equilibrium with the surrounding bath.published_or_final_versio

    Association of polymorphisms in avian apoVLDL-II gene with body weight and abdominal fat weight

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    To investigate the association of avian apoVLDL-II gene polymorphism with body weight and fat, exactly 120 genetically fat (Anka) and lean (Rugao) chicken reared under the same environment andmanagement were selected. Blood samples from the respective populations were taken for DNA extraction, and then slaughter for fat determination. Polymorphism was detected by PCR-RFLP and PCR-SSCP techniques. Gene frequency was non significantly different between population at VLDL6 and VLDL10 loci. However, in VLDL9 and VLDL17 loci the gene frequency was differed significantly (

    Lattice and spin polarons in two dimensions

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    A general method applicable to two-dimensional particle-boson systems with arbitrary forms of linear particle-boson interactions and boson dispersion relations is presented. Applications to model superradiance in PIC J-aggregates, and to study single-pole motion in a two-dimensional antiferromagnet are discussed.published_or_final_versio

    The effect of interaction between Lipoprotein Lipase and ApoVLDL-II genes on fat and serum biochemical levels

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    Body weight, abdominal fat weight and serum biochemical levels were determined from lean and fat chicken breeds at 12 weeks of age. Single nucleotide polymorphism (SNP) in apoVLDL-II and lipoprotein lipase genes was screened by PCR-SSCP and detected by direct sequencing. Lipoprotein lipase gene frequency was found to be significantly different (P < 0.01) in lean chicken whereas it was non-significantly different in fat chicken. SNP in apoVLDL-II and lipoprotein lipase genes significantly (P< 0.05) affected body weight and fat weight. Similarly their interaction significantly (P < 0.05) affected body weight and fat weight. However, no significant difference was observed in the percentage of abdominal fat. SNP in apoVLDL-II and lipoprotein lipase genes significantly (P < 0.05) affected total cholesterol and high density lipoprotein. More likely, the interaction of apoVLDL-II and lipoprotein lipase significantly affect total cholesterol, triglyceride, high density lipoprotein, very low density lipoprotein and low density lipoprotein

    An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval

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    The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance. One of the main bottlenecks of this technique is the quadratic growth of the kNN graph size due to the high-quantity of new connections between nodes in the graph, resulting in long computation times. Several strategies have been proposed to address this, but none are effective and efficient. Our novel technique, based on LSH projections, obtains the same performance as the exact kNN graph after diffusion, but in less time (approximately 18 times faster on a dataset of a hundred thousand images). The proposed method was validated and compared with other state-of-the-art on several public image datasets, including Oxford5k, Paris6k, and Oxford105k

    汉诺坝玄武岩中麻粒岩和辉石岩捕虏体Sr-Nd-Pb同位素五维空间特征及其地质意义

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    研究了汉诺坝玄武岩中麻粒岩和辉石岩捕虏体在Sr-Nd-Pb同位素五维空间中的特征 .结合捕虏体的空间分布相对位置, 认为层离作用可较好地解释不同类型捕虏体同位素之间的相互关系。published_or_final_versio

    Localized-density-matrix, segment-molecular-orbitals and poly(p-phenylenevinylene) aggregates

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    The segment-molecular-orbital representation is developed and incorporated into the recently developed linear-scaling localized-density-matrix method. The entire system is divided into many segments, and the molecular orbitals of all segments form the basis functions of the segment-molecular-orbital representation. Introduction of different cutoff lengths for different segment-molecular-orbitals leads to a drastic reduction of the computational cost. As a result, the modified localized-density-matrix method is employed to investigate the optical responses of large Poly(p-phenylenevinylene) aggregates. In particular, the interchain excitations are studied. The complete neglect of differential overlap in spectroscopy hamiltonian is employed in the calculation. © 1999 American Institute of Physics.published_or_final_versio

    Combined first-principles calculation and neural-network correction approach for heat of formation

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    A promising new approach to improve the results of first-principles quantum mechanical calculations and to calibrate their uncertainties is presented. The approach is highly efficient compared to much more sophisticated first-principles methods of similar accuracy, and more importantly, is expected to be applied to much larger systems.published_or_final_versio

    Fourier domain optical coherence tomography system with balance detection

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    A Fourier domain optical coherence tomography system with two spectrometers in balance detection is assembled using each an InGaAs linear camera. Conditions and adjustments of spectrometer parameters are presented to ensure anti-phase channeled spectrum modulation across the two cameras for a majority of wavelengths within the optical source spectrum. By blocking the signal to one of the spectrometers, the setup was used to compare the conditions of operation of a single camera with that of a balanced configuration. Using multiple layer samples, balanced detection technique is compared with techniques applied to conventional single camera setups, based on sequential deduction of averaged spectra collected with different on/off settings for the sample or reference beams. In terms of reducing the autocorrelation terms and fixed pattern noise, it is concluded that balance detection performs better than single camera techniques, is more tolerant to movement, exhibits longer term stability and can operate dynamically in real time. The cameras used exhibit larger saturation power than the power threshold where excess photon noise exceeds shot noise. Therefore, conditions to adjust the two cameras to reduce the noise when used in a balanced configuration are presented. It is shown that balance detection can reduce the noise in real time operation, in comparison with single camera configurations. However, simple deduction of an average spectrum in single camera configurations delivers less noise than the balance detection
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