674 research outputs found

    Land Ecological Security Assessment for Bai Autonomous Prefecture of Dali Based Using PSR Model--with Data in 2009 as Case

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    AbstractThis paper constructs Bai Autonomous Prefecture of Dali's land ecological security assessment index system based on pressure-state-response model, using entropy method and composite index method to evaluate Dali Prefecture's land ecological security’ composite index is 0.60823 in 2009, which is in good security condition. Although the whole prefecture's condition stays comparative security, we should realize the economic disparity and land security status varies from city to city. The difficulty of land exploiting, ecological disasters and the vulnerable land ecosystem are also the reality we should face. So how to maintain the present good trend of land resources development with the rapid development of economy and intensified human activities is what the government and policy makers should consider

    Efficient detection for quantum states containing fewer than kk unentangled particles in multipartite quantum systems

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    In this paper, we mainly investigate the detection of quantum states containing fewer than kk unentangled particles in multipartite quantum systems. Based on calculations about operators, we derive two practical criteria for judging NN-partite quantum states owning fewer than kk unentangled particles. In addition, we demonstrate the effectiveness of our frameworks through some concrete examples, and specifically point out the quantum states having fewer than kk unentangled particles that our methods can detect, while other criteria cannot recognize.Comment: 7 page

    Multipartite entanglement detection via generalized Wigner-Yanase skew information

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    The detection of multipartite entanglement in multipartite quantum systems is a fundamental and key issue in quantum information theory. In this paper, we investigate kk-nonseparability and kk-partite entanglement of NN-partite quantum systems from the perspective of the generalized Wigner-Yanase skew information introduced by Yang etet alal. [\href{https://doi.org/10.1103/PhysRevA.106.052401 }{Phys. Rev. A \textbf{106}, 052401 (2022)}]. More specifically, we develop two different approaches in form of inequalities to construct entanglement criteria, which are expressed in terms of the generalized Wigner-Yanase skew information. Any violation of these inequalities by a quantum state reveals its kk-nonseparability or kk-partite entanglement, so these inequalities present the hierarchic classifications of kk-nonseparability or kk-partite entanglement for all NN-partite quantum states from NN-nonseparability to 22-nonseparability or from 22-partite entanglement to NN-partite entanglement, which are more refined than well-known ways. It is shown that our results reveal some kk-nonseparability and kk-partite entanglement that remain undetected by other methods, and these are illustrated through some examples.Comment: 12 pages, 2 figure

    Three-dimensional all-dielectric metamaterial solid immersion lens for subwavelength imaging at visible frequencies

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    Although all-dielectric metamaterials offer a low-loss alternative to current metal-based metamaterials to manipulate light at the nanoscale and may have important applications, very few have been reported to date owing to the current nanofabrication technologies. We develop a new “nano–solid-fluid assembly” method using 15-nm TiO(2) nanoparticles as building blocks to fabricate the first three-dimensional (3D) all-dielectric metamaterial at visible frequencies. Because of its optical transparency, high refractive index, and deep-subwavelength structures, this 3D all-dielectric metamaterial-based solid immersion lens (mSIL) can produce a sharp image with a super-resolution of at least 45 nm under a white-light optical microscope, significantly exceeding the classical diffraction limit and previous near-field imaging techniques. Theoretical analysis reveals that electric field enhancement can be formed between contacting TiO(2) nanoparticles, which causes effective confinement and propagation of visible light at the deep-subwavelength scale. This endows the mSIL with unusual abilities to illuminate object surfaces with large-area nanoscale near-field evanescent spots and to collect and convert the evanescent information into propagating waves. Our all-dielectric metamaterial design strategy demonstrates the potential to develop low-loss nanophotonic devices at visible frequencies

    Upscaling Stem to Community-Level Transpiration for Two Sand-Fixing Plants: Salix Gordejevii and Caragana Microphylla

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    The information on transpiration is vital for sustaining fragile ecosystem in arid/semiarid environment, including the Horqin Sandy Land (HSL) located in northeast China. However, such information is scarce in existing literature. The objectives of this study were to: (1) measure sap flow of selected individual stems of two sand-fixing plants, namely Salix gordejevii and Caragana microphylla, in HSL; and (2) upscale the measured stem-level sap flow for estimating the community-level transpiration. The measurements were done from 1 May to 30 September 2015 (i.e., during the growing season). The upscaling function was developed to have one dependent variable, namely sap flow rate, and two independent variables, namely stem cross-sectional area of Salix gordejevii and leaf area of Caragana microphylla. The results indicated that during the growing season, the total actual transpiration of the Salix gordejevii and Caragana microphylla communities was found to be 287 31 and 197 24 mm, respectively, implying that the Salix gordejevii community might consume 1.5 times more water than the Caragana microphylla community. For this same growing season, based on the Penman-Monteith equation, the total actual evapotranspiration for these two communities was estimated to be 323 and 229 mm, respectively. The daily transpiration from the upscaling function was well correlated with the daily evapotranspiration by the Penman-Monteith equation (coefficient of determination R2 0.67), indicating the applicability of this upscaling function, a useful tool for managing and restoring sand-fixing vegetations. 2017 by the authors

    Direct Regularization from Co-Registered Anatomical Images for MRI-Guided Near-Infrared Spectral Tomographic Image Reconstruction

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    Combining anatomical information from high resolution imaging modalities to guide near-infrared spectral tomography (NIRST) is an efficient strategy for improving the quality of the reconstructed spectral images. A new approach for incorporating image information directly into the inversion matrix regularization was examined using Direct Regularization from Images (DRI), which encodes the gray-scale data into the NIRST image reconstruction problem. This process has the benefit of eliminating user intervention such as image segmentation of distinct regions. Specifically, the Dynamic Contrast Enhanced Magnetic Resonance (DCE-MR) image intensity value differences within the anatomical image were used to implement an exponentially-weighted regularization function between the image pixels. The algorithm was validated using simulated reconstructions with noise, and the results showed that spatial resolution and robustness of the reconstructed images were significantly improved by appropriate choice of the regularization weight parameters. The proposed approach was also tested on in vivo breast data acquired in a recent clinical trial combining NIRST / MRI for cancer tumor characterization. Relative to the standard “no priors” diffuse recovery, the contrast of the tumor to the normal surrounding tissue increased from 2.4 to 3.6, and the difference between the tumor size segmented from DCE-MR images and reconstructed optical images decreased from 18% to 6%, while there was an overall decrease in surface artifacts
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