This study analyzed and predicted following aspects of isopentenyl py- rophosphate isomerases （IPIs） of five north medicinal plants using bioinformatics methods and tools： physical and chemical properties, hydropho...This study analyzed and predicted following aspects of isopentenyl py- rophosphate isomerases （IPIs） of five north medicinal plants using bioinformatics methods and tools： physical and chemical properties, hydrophobicity/hydrophilicity, trans-membrane domain, secondary structure, subcellular localization and so on. The results showed that： there was no notable difference among the physical and chem- ical properties of IPIs of the five north medicinal plants; the IPIs were mainly hy- drophilic; the IPIs were mainly located in chloroplasts by subcellular localization; serine phosphorylation sites were the most; the secondary structures mainly consist- ed of c^-helixes and random coils; no signal peptide existed, indicating that the pro- tein IPI was non-secreted protein; no trans-membrane domain existed; and one functional domain was shown, Le., Nudix Hydrolase Superfamily. This study is of great significance to research on IPI gene functions, deep research on north medic- inal plants, improvement of efficacy of north medicinal plants and rational develop- ment and utilization of medicinal plant resources.展开更多
Based on the understanding that the seismic fault system is a nonlinear complex system,Rundle(1995)introduced the nonlinear threshold system used in meteorology to analyze the ocean-atmosphere interface and the El Ni?...Based on the understanding that the seismic fault system is a nonlinear complex system,Rundle(1995)introduced the nonlinear threshold system used in meteorology to analyze the ocean-atmosphere interface and the El Ni?o Southern Oscillation into the study of seismic activity changes,and then proposed the PI method(Rundle et al.,2000a,b).Wu et al.(2011)modified the Pattern Informatics Method named MPI to extract the ionospheric anomaly by using data from DEMETER satellites which is suitable for 1–3 months short-term prediction.展开更多
To address the performance degradation of permanent magnet synchronous motor(PMSM)drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment,an improved model predicti...To address the performance degradation of permanent magnet synchronous motor(PMSM)drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment,an improved model predictive voltage control(I-MPVC)approach without motor parameters is presented in this article.Unlike traditional MPVC where accurate motor parameters are heavily relied on,a motor parameter-independent(MPI)prediction model is constructed to eliminate parameter dependency.Firstly,an incremental voltage prediction model is developed where the influence of resistance and flux linkage mismatches is reduced.Then,an inductance parameter-independent(IPI)factor model,which solely relies on the current and voltage information,is further designed.Besides,the proposed approach takes lower computational complexity,as well as simpler parameter tuning steps,which offers significant benefits for real-time applications in industrial fields.Finally,experiments are conducted to validate the feasibility and superiority of the proposed approach.展开更多
基金Supported by Science and Technology Planning Project of Mudanjiang(G2015d1974)Funding Project of Training of Famous Teachers in Mudanjiang Normal University(2014QNGG1805)~~
文摘This study analyzed and predicted following aspects of isopentenyl py- rophosphate isomerases （IPIs） of five north medicinal plants using bioinformatics methods and tools： physical and chemical properties, hydrophobicity/hydrophilicity, trans-membrane domain, secondary structure, subcellular localization and so on. The results showed that： there was no notable difference among the physical and chem- ical properties of IPIs of the five north medicinal plants; the IPIs were mainly hy- drophilic; the IPIs were mainly located in chloroplasts by subcellular localization; serine phosphorylation sites were the most; the secondary structures mainly consist- ed of c^-helixes and random coils; no signal peptide existed, indicating that the pro- tein IPI was non-secreted protein; no trans-membrane domain existed; and one functional domain was shown, Le., Nudix Hydrolase Superfamily. This study is of great significance to research on IPI gene functions, deep research on north medic- inal plants, improvement of efficacy of north medicinal plants and rational develop- ment and utilization of medicinal plant resources.
基金supported by the Joint Funds of the National Natural Science Foundation of China(Grant No.U2039207)。
文摘Based on the understanding that the seismic fault system is a nonlinear complex system,Rundle(1995)introduced the nonlinear threshold system used in meteorology to analyze the ocean-atmosphere interface and the El Ni?o Southern Oscillation into the study of seismic activity changes,and then proposed the PI method(Rundle et al.,2000a,b).Wu et al.(2011)modified the Pattern Informatics Method named MPI to extract the ionospheric anomaly by using data from DEMETER satellites which is suitable for 1–3 months short-term prediction.
基金supported in part by the National Natural Science Foundation of China under Grant 52377036in part by the Outstanding Talents Project of North China University of Technology。
文摘To address the performance degradation of permanent magnet synchronous motor(PMSM)drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment,an improved model predictive voltage control(I-MPVC)approach without motor parameters is presented in this article.Unlike traditional MPVC where accurate motor parameters are heavily relied on,a motor parameter-independent(MPI)prediction model is constructed to eliminate parameter dependency.Firstly,an incremental voltage prediction model is developed where the influence of resistance and flux linkage mismatches is reduced.Then,an inductance parameter-independent(IPI)factor model,which solely relies on the current and voltage information,is further designed.Besides,the proposed approach takes lower computational complexity,as well as simpler parameter tuning steps,which offers significant benefits for real-time applications in industrial fields.Finally,experiments are conducted to validate the feasibility and superiority of the proposed approach.
