To the Editor:Malignant pleural effusion(MPE)is a collection of a large amount of exudativeuid in the pleural cavity that mainly originates from pleural metastases in patients with malignant tumors.The formation of MP...To the Editor:Malignant pleural effusion(MPE)is a collection of a large amount of exudativeuid in the pleural cavity that mainly originates from pleural metastases in patients with malignant tumors.The formation of MPE is related to angiogenesis,increased vascular permeability,lymphatic obstruction,immune reactions,and the tumor metastasis microenvironment,but molecular-based diagnostic and next-generation therapeutic strategies for MPE are still lacking.Exosomes are vesicles with a double-layered lipid membrane structure that are widely distributed in bodyuids and can be produced by almost all cells.Increased evidence has shown that exosomes are related to the development of MPE and are correlated with the efcacy of and response to targeted therapy or immunotherapy.Although exosomes are one of the main components of MPE,the source and functional role of exosomes in MPE are still unclear.展开更多
In some nonlinear dynamic systems, the state variables function usually can be separated from the control variables function, which brings much trouble to the identification of such systems. To well solve this problem...In some nonlinear dynamic systems, the state variables function usually can be separated from the control variables function, which brings much trouble to the identification of such systems. To well solve this problem, an improved least squares support vector regression （LSSVR） model with multiple-kernel is proposed and the model is applied to the nonlinear separable system identification. This method utilizes the excellent nonlinear mapping ability of Morlet wavelet kernel function and combines the state and control variables information into a kernel matrix. Using the composite wavelet kernel, the LSSVR includes two nonlinear functions, whose variables are the state variables and the control ones respectively, in this way, the regression function can gain better nonlinear mapping ability, and it can simulate almost any curve in quadratic continuous integral space. Then, they are used to identify the two functions in the separable nonlinear dynamic system. Simulation results show that the multiple-kernel LSSVR method can greatly improve the identification accuracy than the single kernel method, and the Morlet wavelet kernel is more efficient than the other kernels.展开更多
基金Key R&D Plan of Jiangxi Province(No.2021BBG71006)Zhejiang Provincial Basic Public Welfare Research Project(No.GF19H160028)Key project of Science and Technology Innovation of Health Commission of Jiangxi Province(Nos.2023ZD005 and 2024ZD008)
文摘To the Editor:Malignant pleural effusion(MPE)is a collection of a large amount of exudativeuid in the pleural cavity that mainly originates from pleural metastases in patients with malignant tumors.The formation of MPE is related to angiogenesis,increased vascular permeability,lymphatic obstruction,immune reactions,and the tumor metastasis microenvironment,but molecular-based diagnostic and next-generation therapeutic strategies for MPE are still lacking.Exosomes are vesicles with a double-layered lipid membrane structure that are widely distributed in bodyuids and can be produced by almost all cells.Increased evidence has shown that exosomes are related to the development of MPE and are correlated with the efcacy of and response to targeted therapy or immunotherapy.Although exosomes are one of the main components of MPE,the source and functional role of exosomes in MPE are still unclear.
基金supported by the National Natural Science Foundation for Young Scientists of China(Nos.61202332,60904083)the China Postdoctoral Science Foundation(No.2012M521905)
文摘In some nonlinear dynamic systems, the state variables function usually can be separated from the control variables function, which brings much trouble to the identification of such systems. To well solve this problem, an improved least squares support vector regression （LSSVR） model with multiple-kernel is proposed and the model is applied to the nonlinear separable system identification. This method utilizes the excellent nonlinear mapping ability of Morlet wavelet kernel function and combines the state and control variables information into a kernel matrix. Using the composite wavelet kernel, the LSSVR includes two nonlinear functions, whose variables are the state variables and the control ones respectively, in this way, the regression function can gain better nonlinear mapping ability, and it can simulate almost any curve in quadratic continuous integral space. Then, they are used to identify the two functions in the separable nonlinear dynamic system. Simulation results show that the multiple-kernel LSSVR method can greatly improve the identification accuracy than the single kernel method, and the Morlet wavelet kernel is more efficient than the other kernels.
