One of the important issues in the system identification and the spectrum analysis is the frequency resolution, i.e., the capability of distinguishing between two or more closely spaced frequency components. In the mo...One of the important issues in the system identification and the spectrum analysis is the frequency resolution, i.e., the capability of distinguishing between two or more closely spaced frequency components. In the modal identification by the empirical mode decomposition （EMD） method, because of the separating capability of the method, it is still a challenge to consistently and reliably identify the parameters of structures of which modes are not well separated. A new method is introduced to generate the intrin- sic mode functions （IMFs） through the filtering algorithm based on the wavelet packet decomposition （GIFWPD）. In this paper, it is demonstrated that the CIFWPD method alone has a good capability of separating close modes, even under the severe condition beyond the critical frequency ratio limit which makes it impossible to separate two closely spaced harmonics by the EMD method. However, the GIFWPD-only based method is impelled to use a very fine sampling frequency with consequent prohibitive computational costs. Therefore, in order to decrease the computational load by reducing the amount of samples and improve the effectiveness of separation by increasing the frequency ratio, the present paper uses a combination of the complex envelope displacement analysis （CEDA） and the GIFWPD method. For the validation, two examples from the previous works are taken to show the results obtained by the GIFWPD-only based method and by combining the CEDA with the GIFWPD method.展开更多
Epidemiological evidence points to increased dairy and meat consumption,staples of the Western diet,as major risk factors for the development of type 2 diabetes(T2D).This paper presents a new concept and comprehensive...Epidemiological evidence points to increased dairy and meat consumption,staples of the Western diet,as major risk factors for the development of type 2 diabetes(T2D).This paper presents a new concept and comprehensive review of leucine-mediated cell signaling explaining the pathogenesis of T2D and obesity by leucine-induced over-stimulation of mammalian target of rapamycin complex 1(mTORC1).mTORC1,a pivotal nutrient-sensitive kinase,promotes growth and cell proliferation in response to glucose,energy,growth factors and amino acids.Dairy proteins and meat stimulate insulin/insulin-like growth factor 1 signaling and provide high amounts of leucine,a primary and independent stimulator for mTORC1 activation.The downstream target of mTORC1,the kinase S6K1,induces insulin resistance by phosphorylation of insulin receptor substrate-1,thereby increasing the metabolic burden of β-cells.Moreover,leucine-mediated mTORC1-S6K1-signaling plays an important role in adipogenesis,thus increasing the risk of obesity-mediated insulin resistance. High consumption of leucine-rich proteins explains exaggerated mTORC1-dependent insulin secretion, increased β-cell growth and β-cell proliferation promoting an early onset of replicative β-cell senescence with subsequent β-cell apoptosis.Disturbances of β-cell mass regulation with increased β-cell proliferation and apoptosis as well as insulin resistance are hallmarks of T2D,which are all associated with hyperactivation of mTORC1.In contrast,the anti-diabetic drug metformin antagonizes leucine-mediated mTORC1 signaling.Plant-derived polyphenols and flavonoids are identified as natural inhibitors of mTORC1 and exert anti-diabetic and anti-obesity effects.Furthermore,bariatric surgery in obesity reduces increased plasma levels of leucine and other branched-chain amino acids.Attenuation of leucine-mediated mTORC1 signaling by defining appropriate upper limits of the daily intake of leucine-rich animal and dairy proteins may offer a great chance for the prevention of T2D and obesity,as well as other epidemic diseases of civilization with increased mTORC1 signaling,especially cancer and neurodegenerative diseases,which are frequently associated with T2D.展开更多
基金supported by the State Key Program of National Natural Science of China (No. 11232009)the Shanghai Leading Academic Discipline Project (No. S30106)
文摘One of the important issues in the system identification and the spectrum analysis is the frequency resolution, i.e., the capability of distinguishing between two or more closely spaced frequency components. In the modal identification by the empirical mode decomposition （EMD） method, because of the separating capability of the method, it is still a challenge to consistently and reliably identify the parameters of structures of which modes are not well separated. A new method is introduced to generate the intrin- sic mode functions （IMFs） through the filtering algorithm based on the wavelet packet decomposition （GIFWPD）. In this paper, it is demonstrated that the CIFWPD method alone has a good capability of separating close modes, even under the severe condition beyond the critical frequency ratio limit which makes it impossible to separate two closely spaced harmonics by the EMD method. However, the GIFWPD-only based method is impelled to use a very fine sampling frequency with consequent prohibitive computational costs. Therefore, in order to decrease the computational load by reducing the amount of samples and improve the effectiveness of separation by increasing the frequency ratio, the present paper uses a combination of the complex envelope displacement analysis （CEDA） and the GIFWPD method. For the validation, two examples from the previous works are taken to show the results obtained by the GIFWPD-only based method and by combining the CEDA with the GIFWPD method.
基金Supported by Bertelsmann Foundation Gütersloh,Germany
文摘Epidemiological evidence points to increased dairy and meat consumption,staples of the Western diet,as major risk factors for the development of type 2 diabetes(T2D).This paper presents a new concept and comprehensive review of leucine-mediated cell signaling explaining the pathogenesis of T2D and obesity by leucine-induced over-stimulation of mammalian target of rapamycin complex 1(mTORC1).mTORC1,a pivotal nutrient-sensitive kinase,promotes growth and cell proliferation in response to glucose,energy,growth factors and amino acids.Dairy proteins and meat stimulate insulin/insulin-like growth factor 1 signaling and provide high amounts of leucine,a primary and independent stimulator for mTORC1 activation.The downstream target of mTORC1,the kinase S6K1,induces insulin resistance by phosphorylation of insulin receptor substrate-1,thereby increasing the metabolic burden of β-cells.Moreover,leucine-mediated mTORC1-S6K1-signaling plays an important role in adipogenesis,thus increasing the risk of obesity-mediated insulin resistance. High consumption of leucine-rich proteins explains exaggerated mTORC1-dependent insulin secretion, increased β-cell growth and β-cell proliferation promoting an early onset of replicative β-cell senescence with subsequent β-cell apoptosis.Disturbances of β-cell mass regulation with increased β-cell proliferation and apoptosis as well as insulin resistance are hallmarks of T2D,which are all associated with hyperactivation of mTORC1.In contrast,the anti-diabetic drug metformin antagonizes leucine-mediated mTORC1 signaling.Plant-derived polyphenols and flavonoids are identified as natural inhibitors of mTORC1 and exert anti-diabetic and anti-obesity effects.Furthermore,bariatric surgery in obesity reduces increased plasma levels of leucine and other branched-chain amino acids.Attenuation of leucine-mediated mTORC1 signaling by defining appropriate upper limits of the daily intake of leucine-rich animal and dairy proteins may offer a great chance for the prevention of T2D and obesity,as well as other epidemic diseases of civilization with increased mTORC1 signaling,especially cancer and neurodegenerative diseases,which are frequently associated with T2D.
