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R Mittra - One of the best experts on this subject based on the ideXlab platform.

  • fast analysis of three dimensional scattering from a buried object under a dielectric rough surface using the characteristic basis function method
    International Symposium on Antennas and Propagation, 2018
    Co-Authors: Chao Li, R Mittra
    Abstract:

    The Characteristic Basis Function Method (CBFM) is adapted to analyze the problem of electromagnetic scattering from a 3-D object buried under a 2-D dielectric rough surface. A current-based physical optics (PO) method, called Modified Equivalent Current Approximation (MECA), is used for efficient derivation of the Characteristic Basis Functions (CBFs) for the dielectric body. The interaction between the rough surface and the object is rigorously taken into account to derive accurate solutions for the electric and magnetic current densities on the rough surface. In addition, the adaptive cross approximation (ACA) is implemented to expedite the generation of the Reduced Matrix. Finally, scattered fields in the far zone are calculated by using the method of azimuthal angular averaging. The proposed approach is demonstrated to be accurate and efficient. Moreover, it is well-suited for applications when the solution for multiple excitations is required.

  • sparsification of the Reduced Matrix of the cbfm for a memory efficient solution of electrically large em scattering problems
    USNC-URSI Radio Science Meeting, 2018
    Co-Authors: Ines Fenni, Ziad S Haddad, Helene Roussel, R Mittra
    Abstract:

    In this paper a sparsification approach is applied to the compressed Matrix resulting from the Characteristic Basis Function Method (CBFM) process in order to significantly reduce the memory cost of this direct solver-based largely used numerical technique. Many efforts have been made in recent years to efficiently calculate this Matrix but, all of them have focused on the time cost and have not dealt with the memory resources needed to store it. With the proposed sparsification approach, the present work aims to reduce the computational cost associated to the compressed Matrix both in terms of CPU time and memory consumption.

  • efficient technique for broadband monostatic rcs using the characteristic basis function method with polynomial interpolation
    Electronics Letters, 2017
    Co-Authors: Xinlei Chen, Chao Fei, R Mittra
    Abstract:

    Previous research on the characteristic basis function method (CBFM) has shown that the use of the ultra-wide band CBFM can efficiently solve the problem of computing the broadband monostatic radar cross-section (RCS) of a target by reducing the size of the associated impedance Matrix and avoiding the repeated generation of the macro base functions. However, it is still necessary to repeatedly construct the Reduced Matrix at each frequency in the analysed frequency band, and an interpolation method is proposed to address this problem. It is shown that it is only needed to generate and store the Reduced matrices at four frequency samples to cover the entire frequency band, and efficiently derive the Reduced matrices at other frequencies via simple interpolation. Numerical results are given to demonstrate the accuracy and efficiency of the proposed method.

  • analysis of scattering from multi scale and multiple targets using characteristic basis function cbfm and integral equation discontinuous galerkin iedg methods
    Journal of Electromagnetic Waves and Applications, 2017
    Co-Authors: R Mittra, Weixing Sheng
    Abstract:

    AbstractIn this paper, the characteristic basis function method is adapted to analyze the problem of scattering from multiple and multi-scale impenetrable targets in conjunction with the discontinuous Galerkin method, and the monopolar RWG functions are chosen as the basis functions. This method enables us to analyze multiple and multi-scale targets using nonconforming discretizations. The use of the CBFs helps reduce the size of the impedance Matrix of the associated method of moment significantly, enabling us to employ direct solvers as opposed to iterative solvers. The process of generating the Reduced Matrix is naturally parallel, and the Reduced Matrix is well conditioned, which obviates the need for pre-conditioning. In addition, the adaptive cross-approximation algorithm is implemented to reduce the complexity of the computation. Numerical results are included to demonstrate the accuracy and efficiency of the present approach when analyzing scattering from multiple and multi-scale targets using non...

  • multi level characteristic basis function method for analysis of scattering from objects embedded in multi layered media
    Journal of Electromagnetic Waves and Applications, 2017
    Co-Authors: R Mittra, Weixing Sheng
    Abstract:

    ABSTRACTThe multi-level characteristic basis function method is adapted to analyze the problem of scattering from objects embedded in layered media. Inhomogeneous plane waves incident upon the layered media are used to construct multiple levels of characteristic basis functions (CBFs). The use of the CBFs helps reduce the size of the impedance Matrix of the associated method of moment significantly, enabling us to employ direct solver as opposed to iterative solvers. The process of generating the Reduced Matrix is shown to be naturally parallel, and the Reduced Matrix to be well conditioned, which obviates the need of pre-conditioning. Numerical results are included to demonstrate the accuracy and efficiency of the present approach when used for the analysis of scattering from objects embedded in multi-layered media.

Xiaohong Leng - One of the best experts on this subject based on the ideXlab platform.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Hui Lin, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Ralph B Arlinghaus
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV-ErbB2(V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-kappaB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2(+) breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Limei Hu, Jianhua Hu, Yun Wu
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV- ErbB2 (V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-κB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2 + breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer. [Cancer Res 2009;69(22):8579–84]

Ralph B Arlinghaus - One of the best experts on this subject based on the ideXlab platform.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Hui Lin, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Ralph B Arlinghaus
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV-ErbB2(V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-kappaB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2(+) breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer.

Yun Wu - One of the best experts on this subject based on the ideXlab platform.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Limei Hu, Jianhua Hu, Yun Wu
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV- ErbB2 (V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-κB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2 + breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer. [Cancer Res 2009;69(22):8579–84]

Fraser W Symmans - One of the best experts on this subject based on the ideXlab platform.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Hui Lin, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Ralph B Arlinghaus
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV-ErbB2(V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-kappaB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2(+) breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer.

  • inhibition of lipocalin 2 impairs breast tumorigenesis and metastasis
    Cancer Research, 2009
    Co-Authors: Xiaohong Leng, Yan Wang, Tian Ding, Barry W Feig, Wei Zhang, Lajos Pusztai, Fraser W Symmans, Limei Hu, Jianhua Hu, Yun Wu
    Abstract:

    Lipocalin 2 (LCN2; also known as NGAL) is a secreted glycoprotein and its elevated expression has been observed in breast cancers. However, the importance of LCN2 in breast tumorigenesis is unclear. Here, we employed a spontaneous mammary tumor mouse model showing that MMTV- ErbB2 (V664E) mice lacking mouse LCN2 had significantly delayed mammary tumor formation and metastasis with Reduced Matrix metalloproteinase-9 activity in the blood. LCN2 expression is upregulated by HER2/phosphoinositide 3-kinase/AKT/NF-κB pathway. Decreasing LCN2 expression significantly Reduced the invasion and migration ability of HER2 + breast cancer cells. Furthermore, injecting an anti-mouse LCN2 antibody into mice bearing established murine breast tumors resulted in significant blockage of lung metastasis. Our findings indicate that LCN2 is a critical factor in enhancing breast tumor formation and progression possibly in part by stabilizing Matrix metalloproteinase-9. Our results suggest that inhibition of LCN2 function by an inhibitory monoclonal antibody has potential for breast cancer therapy, particularly by interfering with metastasis in aggressive types of breast cancer. [Cancer Res 2009;69(22):8579–84]