The molecular electronegativity-distance vector （MEDV） was used to describe the molecular structure of volatile components of Rosa banksiae Ait, and QSRR model was built up by use of multiple linear regression （MLR...The molecular electronegativity-distance vector （MEDV） was used to describe the molecular structure of volatile components of Rosa banksiae Ait, and QSRR model was built up by use of multiple linear regression （MLR）. Furthermore, in virtue of variable screening by the stepwise multiple regression technique, the QSRR models of 10 and 6 variables and linear retention index （LRI） 10, 7 and 6 varieables were built up by combinating MEDV with the Ultra2 column GC retention time （tR） of 53 volatile components of Rosa Banksiae Air. The multiple correlation coefficients （R） of modeling calculation values of QSRR model were 0.906, 0.906, 0.949, 0.943 and 0.949, respectively. The cross-verification multiple correlation coefficients （RCV） were 0.903, 0.904, 0.867, 0.901 and 0.904, respectively. The results show that the models constructed could provide estimation stability and favorable predictive ability.展开更多
Human parainfuenza viruses(HPIVs)are important viral pathogens causing upper and lower respiratory infections(URI and LRI,respectively),particularly afecting infants,children,the elderly,and immunocompromised individu...Human parainfuenza viruses(HPIVs)are important viral pathogens causing upper and lower respiratory infections(URI and LRI,respectively),particularly afecting infants,children,the elderly,and immunocompromised individuals[1].Since the frst isolation of HPIVs in the 1950s,four serotypes(HPIV1-4)have been identifed[1].HPIVs are negative-sense,single-stranded RNA viruses of the family Paramyxoviridae,of which HPIV1 and HPIV3 belong to the genus Respirovirus and HPIV2 and HPIV4 to the genus Rubulavirus[2].In the post-COVID-19 era,the rising incidence of acute respiratory infections(ARIs),particularly those caused by infuenza virus(IFV),human respiratory syncytial virus(HRSV),and human metapneumovirus,has dominated clinical and public health discourse[3–5],while HPIV infections have received comparatively less attention.This oversight has resulted in gaps in understanding the full clinical and epidemiologic impact of HPIVs,underscoring the need to focus on these pathogens.展开更多
文摘The molecular electronegativity-distance vector （MEDV） was used to describe the molecular structure of volatile components of Rosa banksiae Ait, and QSRR model was built up by use of multiple linear regression （MLR）. Furthermore, in virtue of variable screening by the stepwise multiple regression technique, the QSRR models of 10 and 6 variables and linear retention index （LRI） 10, 7 and 6 varieables were built up by combinating MEDV with the Ultra2 column GC retention time （tR） of 53 volatile components of Rosa Banksiae Air. The multiple correlation coefficients （R） of modeling calculation values of QSRR model were 0.906, 0.906, 0.949, 0.943 and 0.949, respectively. The cross-verification multiple correlation coefficients （RCV） were 0.903, 0.904, 0.867, 0.901 and 0.904, respectively. The results show that the models constructed could provide estimation stability and favorable predictive ability.
基金supported by the National Key R&D Program of China(project numbers:2022YFC2305303 and 2017YFC1200303).
文摘Human parainfuenza viruses(HPIVs)are important viral pathogens causing upper and lower respiratory infections(URI and LRI,respectively),particularly afecting infants,children,the elderly,and immunocompromised individuals[1].Since the frst isolation of HPIVs in the 1950s,four serotypes(HPIV1-4)have been identifed[1].HPIVs are negative-sense,single-stranded RNA viruses of the family Paramyxoviridae,of which HPIV1 and HPIV3 belong to the genus Respirovirus and HPIV2 and HPIV4 to the genus Rubulavirus[2].In the post-COVID-19 era,the rising incidence of acute respiratory infections(ARIs),particularly those caused by infuenza virus(IFV),human respiratory syncytial virus(HRSV),and human metapneumovirus,has dominated clinical and public health discourse[3–5],while HPIV infections have received comparatively less attention.This oversight has resulted in gaps in understanding the full clinical and epidemiologic impact of HPIVs,underscoring the need to focus on these pathogens.
