FK506结合蛋白样蛋白(FK506-binding protein like,FKBPL)是亲免素家族的一员,其功能十分广泛,可以调控类固醇受体的信号转导,抑制肿瘤干细胞及肿瘤细胞的生长,并且能够作为肿瘤预后的生物学标志物。最新研究发现,它的N端区域存在抗血...FK506结合蛋白样蛋白(FK506-binding protein like,FKBPL)是亲免素家族的一员,其功能十分广泛,可以调控类固醇受体的信号转导,抑制肿瘤干细胞及肿瘤细胞的生长,并且能够作为肿瘤预后的生物学标志物。最新研究发现,它的N端区域存在抗血管生成结构域,可在体内和体外发挥抗血管生成作用。此外,FKBPL还与炎症、眼部疾病、心理疾病等诸多问题相关。文章主要从FKBPL的结构和功能出发,对FKBPL的功能研究进展进行综述,并探讨其在临床应用中的前景。展开更多
In the design of hearing aids(HA),the real-time speech-enhancement is done.The digital hearing aids should provide high signal-to-noise ratio,gain improvement and should eliminate feedback.In generic hearing aids the ...In the design of hearing aids(HA),the real-time speech-enhancement is done.The digital hearing aids should provide high signal-to-noise ratio,gain improvement and should eliminate feedback.In generic hearing aids the perfor-mance towards different frequencies varies and non uniform.Existing noise can-cellation and speech separation methods drops the voice magnitude under the noise environment.The performance of the HA for frequency response is non uni-form.Existing noise suppression methods reduce the required signal strength also.So,the performance of uniform sub band analysis is poor when hearing aid is con-cern.In this paper,a speech separation method using Non-negative Matrix Fac-torization(NMF)algorithm is proposed for wavelet decomposition.The Proposed non-uniformfilter-bank was validated by parameters like band power,Signal-to-noise ratio(SNR),Mean Square Error(MSE),Signal to Noise and Dis-tortion Ratio(SINAD),Spurious-free dynamic range(SFDR),error and time.The speech recordings before and after separation was evaluated for quality using objective speech quality measures International Telecommunication Union-Telecommunication standard ITU-T P.862.展开更多
文摘FK506结合蛋白样蛋白(FK506-binding protein like,FKBPL)是亲免素家族的一员,其功能十分广泛,可以调控类固醇受体的信号转导,抑制肿瘤干细胞及肿瘤细胞的生长,并且能够作为肿瘤预后的生物学标志物。最新研究发现,它的N端区域存在抗血管生成结构域,可在体内和体外发挥抗血管生成作用。此外,FKBPL还与炎症、眼部疾病、心理疾病等诸多问题相关。文章主要从FKBPL的结构和功能出发,对FKBPL的功能研究进展进行综述,并探讨其在临床应用中的前景。
文摘In the design of hearing aids(HA),the real-time speech-enhancement is done.The digital hearing aids should provide high signal-to-noise ratio,gain improvement and should eliminate feedback.In generic hearing aids the perfor-mance towards different frequencies varies and non uniform.Existing noise can-cellation and speech separation methods drops the voice magnitude under the noise environment.The performance of the HA for frequency response is non uni-form.Existing noise suppression methods reduce the required signal strength also.So,the performance of uniform sub band analysis is poor when hearing aid is con-cern.In this paper,a speech separation method using Non-negative Matrix Fac-torization(NMF)algorithm is proposed for wavelet decomposition.The Proposed non-uniformfilter-bank was validated by parameters like band power,Signal-to-noise ratio(SNR),Mean Square Error(MSE),Signal to Noise and Dis-tortion Ratio(SINAD),Spurious-free dynamic range(SFDR),error and time.The speech recordings before and after separation was evaluated for quality using objective speech quality measures International Telecommunication Union-Telecommunication standard ITU-T P.862.
