Amyotrophic lateral sclerosis （ALS） is a fatal progressive disorder characterized by the selective degeneration of motor neurons （MN）. The impact of peripheral immune status on disease progression and MN survival ...Amyotrophic lateral sclerosis （ALS） is a fatal progressive disorder characterized by the selective degeneration of motor neurons （MN）. The impact of peripheral immune status on disease progression and MN survival is becoming increasingly recognized in the ALS research field. In this review, we briefly discuss findings from mouse models of peripheral nerve injury and immunodeficiency to understand how the immune system regulates MN survival. We extend these observations to similar studies in the widely used superoxide dismutase 1 （SOD1） mouse model of ALS. Last, we present future hypotheses to identify potential causative factors that lead to immune dysregulation in ALS. The lessons from preceding work in this area offer new exciting directions to bridge the gap in our current understanding of immune mediated neuroprotection in ALS.展开更多
In tensor theory, the parallel factorization （PARAFAC）decomposition expresses a tensor as the sum of a set of rank-1tensors. By carrying out this numerical decomposition, mixedsources can be separated or unknown sys...In tensor theory, the parallel factorization （PARAFAC）decomposition expresses a tensor as the sum of a set of rank-1tensors. By carrying out this numerical decomposition, mixedsources can be separated or unknown system parameters can beidentified, which is the so-called blind source separation or blindidentification. In this paper we propose a numerical PARAFACdecomposition algorithm. Compared to traditional algorithms, wespeed up the decomposition in several aspects, i.e., search di-rection by extrapolation, suboptimal step size by Gauss-Newtonapproximation, and linear search by n steps. The algorithm is ap-plied to polarization sensitive array parameter estimation to showits usefulness. Simulations verify the correctness and performanceof the proposed numerical techniques.展开更多
分布式拒绝服务攻击对 Internet威胁很大。正常服务器在这种攻击下资源会被很快消耗掉 ,从而不能为合法用户提供服务。本文提出了一个简单实用的动态检测模型用于检测 SY N洪水攻击 ,可以实时有效和准确地检测到最为流行的SYN洪水攻击...分布式拒绝服务攻击对 Internet威胁很大。正常服务器在这种攻击下资源会被很快消耗掉 ,从而不能为合法用户提供服务。本文提出了一个简单实用的动态检测模型用于检测 SY N洪水攻击 ,可以实时有效和准确地检测到最为流行的SYN洪水攻击。在模型中采用基于 CU SU M(Cumulative Sum)的自调整算法 。展开更多
基金supported by grants from NIH/NINDS R01 funding NS40433
文摘Amyotrophic lateral sclerosis （ALS） is a fatal progressive disorder characterized by the selective degeneration of motor neurons （MN）. The impact of peripheral immune status on disease progression and MN survival is becoming increasingly recognized in the ALS research field. In this review, we briefly discuss findings from mouse models of peripheral nerve injury and immunodeficiency to understand how the immune system regulates MN survival. We extend these observations to similar studies in the widely used superoxide dismutase 1 （SOD1） mouse model of ALS. Last, we present future hypotheses to identify potential causative factors that lead to immune dysregulation in ALS. The lessons from preceding work in this area offer new exciting directions to bridge the gap in our current understanding of immune mediated neuroprotection in ALS.
基金supported by the National Natural Science Foundation of China(61571131)the Technology Innovation Fund of the 10th Research Institute of China Electronics Technology Group Corporation(H17038.1)
文摘In tensor theory, the parallel factorization （PARAFAC）decomposition expresses a tensor as the sum of a set of rank-1tensors. By carrying out this numerical decomposition, mixedsources can be separated or unknown system parameters can beidentified, which is the so-called blind source separation or blindidentification. In this paper we propose a numerical PARAFACdecomposition algorithm. Compared to traditional algorithms, wespeed up the decomposition in several aspects, i.e., search di-rection by extrapolation, suboptimal step size by Gauss-Newtonapproximation, and linear search by n steps. The algorithm is ap-plied to polarization sensitive array parameter estimation to showits usefulness. Simulations verify the correctness and performanceof the proposed numerical techniques.
文摘分布式拒绝服务攻击对 Internet威胁很大。正常服务器在这种攻击下资源会被很快消耗掉 ,从而不能为合法用户提供服务。本文提出了一个简单实用的动态检测模型用于检测 SY N洪水攻击 ,可以实时有效和准确地检测到最为流行的SYN洪水攻击。在模型中采用基于 CU SU M(Cumulative Sum)的自调整算法 。
