The performance of lithium-ion batteries(LIBs)gradually declines over time,making it critical to predict the battery’s state of health(SOH)in real-time.This paper presents a model that incorporates health indicators ...The performance of lithium-ion batteries(LIBs)gradually declines over time,making it critical to predict the battery’s state of health(SOH)in real-time.This paper presents a model that incorporates health indicators and ensemble Gaussian process regression(EGPR)to predict the SOH of LIBs.Firstly,the degradation process of an LIB is analyzed through indirect health indicators(HIs)derived from voltage and temperature during discharge.Next,the parameters in the EGPR model are optimized using the gannet optimization algorithm(GOA),and the EGPR is employed to estimate the SOH of LIBs.Finally,the proposed model is tested under various experimental scenarios and compared with other machine learning models.The effectiveness of EGPR model is demonstrated using the National Aeronautics and Space Administration(NASA)LIB.The root mean square error(RMSE)is maintained within 0.20%,and the mean absolute error(MAE)is below 0.16%,illustrating the proposed approach’s excellent predictive accuracy and wide applicability.展开更多
Reproductive organ disease of geese is an endemic and multiple infectious disease in large-scale breeding of breeding geese, especially in anti-season production, which brings a great economic loss to goose production...Reproductive organ disease of geese is an endemic and multiple infectious disease in large-scale breeding of breeding geese, especially in anti-season production, which brings a great economic loss to goose production. To make effective prevention and control of reproductive organ disease of breeding geese under the anti-season breeding mode, the characteristics of control principles of infectious diseases of the poultry and the occurrence and prevalence of reproductive organ disease must be combined, so as to carry out scientific prevention and control.At the same time, according to the climate characteristics of summer, the feeding and management of breeding geese and water quality control should also be done well, and many corresponding measures should also be taken, thus obtaining better effect.展开更多
The characteristics of the interactions co-cultures of ultrafine mesoporous silica nanoparticles （MSNs） and the Liriodendron hybrid suspension cells were systematically investigated using laser scanning confocal mic...The characteristics of the interactions co-cultures of ultrafine mesoporous silica nanoparticles （MSNs） and the Liriodendron hybrid suspension cells were systematically investigated using laser scanning confocal microscope （LSCM） and scanning elec- tron microscopy （SEM）. Using fluorescein isothiocyanate （FITC） labeling, the LSCM observations demonstrated that MSNs （size, 5-15 nm） with attached FITC molecules efficiently penetrated walled plant cells through endocytic pathways, but free FITC could not enter the intact plant cells, The SEM measurements indicated that MSNs readily aggregated on the surface of intact plant cells, and also directly confirmed that MSNs could enter intact plant cells; this was achieved by determining the amount of silicon present. After 24 h of incubation with 1.0 mg mL-t of MSNs, the viability of the plant cells was analyzed using fluorescein diacetate staining; the results showed that these cells retained high viability, and no cell death was observed. Interestingly, after the incubation with MSNs, the Liriodendron hybrid suspension cells retained the capability for plant regen- eration via somatic embryogenesis. Our results indicate that ultrafine MSNs hold considerable potential as nano-carriers of ex- tracellular molecules, and can be used to investigate in vitro gene-delivery in plant cells.展开更多
基金supported by Fundamental Research Program of Shanxi Province(No.202203021211088)Shanxi Provincial Natural Science Foundation(No.202204021301049).
文摘The performance of lithium-ion batteries(LIBs)gradually declines over time,making it critical to predict the battery’s state of health(SOH)in real-time.This paper presents a model that incorporates health indicators and ensemble Gaussian process regression(EGPR)to predict the SOH of LIBs.Firstly,the degradation process of an LIB is analyzed through indirect health indicators(HIs)derived from voltage and temperature during discharge.Next,the parameters in the EGPR model are optimized using the gannet optimization algorithm(GOA),and the EGPR is employed to estimate the SOH of LIBs.Finally,the proposed model is tested under various experimental scenarios and compared with other machine learning models.The effectiveness of EGPR model is demonstrated using the National Aeronautics and Space Administration(NASA)LIB.The root mean square error(RMSE)is maintained within 0.20%,and the mean absolute error(MAE)is below 0.16%,illustrating the proposed approach’s excellent predictive accuracy and wide applicability.
基金Supported by Agricultural Science and Technology Supporting Program of Huai'an City in Jiangsu Province(No.:SN13057)~~
文摘Reproductive organ disease of geese is an endemic and multiple infectious disease in large-scale breeding of breeding geese, especially in anti-season production, which brings a great economic loss to goose production. To make effective prevention and control of reproductive organ disease of breeding geese under the anti-season breeding mode, the characteristics of control principles of infectious diseases of the poultry and the occurrence and prevalence of reproductive organ disease must be combined, so as to carry out scientific prevention and control.At the same time, according to the climate characteristics of summer, the feeding and management of breeding geese and water quality control should also be done well, and many corresponding measures should also be taken, thus obtaining better effect.
基金supported by the National Natural Science Foundation of China (30930077,31000164)
文摘The characteristics of the interactions co-cultures of ultrafine mesoporous silica nanoparticles （MSNs） and the Liriodendron hybrid suspension cells were systematically investigated using laser scanning confocal microscope （LSCM） and scanning elec- tron microscopy （SEM）. Using fluorescein isothiocyanate （FITC） labeling, the LSCM observations demonstrated that MSNs （size, 5-15 nm） with attached FITC molecules efficiently penetrated walled plant cells through endocytic pathways, but free FITC could not enter the intact plant cells, The SEM measurements indicated that MSNs readily aggregated on the surface of intact plant cells, and also directly confirmed that MSNs could enter intact plant cells; this was achieved by determining the amount of silicon present. After 24 h of incubation with 1.0 mg mL-t of MSNs, the viability of the plant cells was analyzed using fluorescein diacetate staining; the results showed that these cells retained high viability, and no cell death was observed. Interestingly, after the incubation with MSNs, the Liriodendron hybrid suspension cells retained the capability for plant regen- eration via somatic embryogenesis. Our results indicate that ultrafine MSNs hold considerable potential as nano-carriers of ex- tracellular molecules, and can be used to investigate in vitro gene-delivery in plant cells.
