沉默信息调节因子2相关酶类3(silent mating type information regulation2 homolog-3,SIRT3)是一种依赖于烟酰胺腺嘌呤二核苷酸(nicotinamide-adenine dinucleotide,NAD)的III类去乙酰化酶。SIRT3主要定位于线粒体,广泛分布于肾脏、脑...沉默信息调节因子2相关酶类3(silent mating type information regulation2 homolog-3,SIRT3)是一种依赖于烟酰胺腺嘌呤二核苷酸(nicotinamide-adenine dinucleotide,NAD)的III类去乙酰化酶。SIRT3主要定位于线粒体,广泛分布于肾脏、脑、心脏及肝脏等富含线粒体的组织器官中,其可对组蛋白和非组蛋白去乙酰化在调控细胞代谢、细胞周期、细胞凋亡及细胞寿命方面起着重要的作用。SIRT3通过去乙酰化相关靶蛋白调节其生物活性,在抵抗氧化应激反应,改善血管内皮细胞功能等多种心血管疾病中,都起到了保护性作用。该文旨在对SIRT3在常见的心血管疾病中的作用的研究进展进行综述。展开更多
Designing optimal time and spatial difference step size is the key technology for quantum-random filtering(QSF)to realize time-varying frequency periodic signal filtering.In this paper,it was proposed to use the short...Designing optimal time and spatial difference step size is the key technology for quantum-random filtering(QSF)to realize time-varying frequency periodic signal filtering.In this paper,it was proposed to use the short-time Fourier transform(STFT)to dynamically estimate the signal to noise ratio(SNR)and relative frequency of the input time-varying frequency periodic signal.Then the model of time and space difference step size and signal to noise ratio(SNR)and relative frequency of quantum random filter is established by least square method.Finally,the parameters of the quantum filter can be determined step by step by analyzing the characteristics of the actual signal.The simulation results of single-frequency signal and frequency time-varying signal show that the proposed method can quickly and accurately design the optimal filter parameters based on the characteristics of the input signal,and achieve significant filtering effects.展开更多
文摘沉默信息调节因子2相关酶类3(silent mating type information regulation2 homolog-3,SIRT3)是一种依赖于烟酰胺腺嘌呤二核苷酸(nicotinamide-adenine dinucleotide,NAD)的III类去乙酰化酶。SIRT3主要定位于线粒体,广泛分布于肾脏、脑、心脏及肝脏等富含线粒体的组织器官中,其可对组蛋白和非组蛋白去乙酰化在调控细胞代谢、细胞周期、细胞凋亡及细胞寿命方面起着重要的作用。SIRT3通过去乙酰化相关靶蛋白调节其生物活性,在抵抗氧化应激反应,改善血管内皮细胞功能等多种心血管疾病中,都起到了保护性作用。该文旨在对SIRT3在常见的心血管疾病中的作用的研究进展进行综述。
基金Projects(2017H0022,2016H6015)supported by Fujian Science and Technology Key Project,China
文摘Designing optimal time and spatial difference step size is the key technology for quantum-random filtering(QSF)to realize time-varying frequency periodic signal filtering.In this paper,it was proposed to use the short-time Fourier transform(STFT)to dynamically estimate the signal to noise ratio(SNR)and relative frequency of the input time-varying frequency periodic signal.Then the model of time and space difference step size and signal to noise ratio(SNR)and relative frequency of quantum random filter is established by least square method.Finally,the parameters of the quantum filter can be determined step by step by analyzing the characteristics of the actual signal.The simulation results of single-frequency signal and frequency time-varying signal show that the proposed method can quickly and accurately design the optimal filter parameters based on the characteristics of the input signal,and achieve significant filtering effects.
