Based on data from a petrochemical company’s MIP unit over the past three years,19 input variables and 2 output variables were selected for modeling using the maximum information coefficient and Pearson correlation c...Based on data from a petrochemical company’s MIP unit over the past three years,19 input variables and 2 output variables were selected for modeling using the maximum information coefficient and Pearson correlation coefficient among 155 variables,which included properties of feedstock oil and spent catalyst,operational variables,and material flows.The distillation range variables were reduced using factor analysis,and the feedstock oils were clustered into three types using the K-means++algorithm.Each feedstock oil type was then used as an input variable for modeling.An XGBoost model and a back propagation(BP)neural network model with a structure of 20-15-15-2 were developed to predict the combined yield of gasoline and propylene,as well as the coke yield.In the test set,the BP neural network model demonstrated better fitting and generalization abilities with a mean absolute percentage error and determination coefficient of 1.48%and 0.738,respectively,compared to the XGBoost model.It was therefore chosen for further optimization work.The genetic algorithm was utilized to optimize operational variables in order to increase the combined yield of gasoline and propylene while controlling the growth of coke yield.Seven commercial test results in the MIP unit showed an average increase of 1.39 percentage points for the combined yield of gasoline and propylene and an average decrease of 0.11 percentage points for coke yield.These results indicate that the model effectively improves the combined yield of gasoline and propylene while controlling the increase in coke yield.展开更多
For various sexually mature insects,including the brown planthopper(BPH,Nilaparvata lugens),the abdominal vibration(AV)signal is the initiation of the mating process,and itiscritical to the successofmating.Currently,t...For various sexually mature insects,including the brown planthopper(BPH,Nilaparvata lugens),the abdominal vibration(AV)signal is the initiation of the mating process,and itiscritical to the successofmating.Currently,there are few studies on the genetic and molecular mechanisms of AV regulation.Ourprevious AV-related transcriptomic study in female BPH identified myoinhibitory peptide(NlMIP)as a gene that potentially affects AV statusinfemales,buthow NlMIP affects AV status remains unknown.In this study,we confirmed that NlMIP regulates AV production and mating behavior in female BPH.When the RNAi knockdown efficiency of NlMIP was 59.00%,the probability of females producing AV and the mating rate in 1 h decreased by 38.89 and 61.11%,respectively.In addition,six mature peptides of NlMIP were synthesized and they were able to regulate AV production and mating behavior in females,with NlMIP2having the strongest effect.The A-family neuropeptide GPCR 10(NlA10)was found to be a potential receptor for NlMIP based on a phylogenetic tree analysis and the fact that NlMIP mature peptides effectively activated NlA10.After NlA10was knocked down,the probability of females producing AV and the mating rate in 1 h had reductions of 28.89 and 43.33%,respectively.When activated by NlMIP2,NlA10 coupled the Gαi/q signalling pathways,thereby inhibiting the downstream AC/cAMP/PKA,activating the PLC/Ca^(2+)/PKC signalling pathways and then activating MEK1/2 in a cascade to mediate the phosphorylation of ERK1/2,and finally regulating the AV of females.These results provide a basis for the prevention and control of the brown planthopper pest by disrupting female AV.展开更多
基金the National Natural Science Foundation of China(No.U22B20141)the SINOPEC funded project(No.31900000-21-ZC0607-0009).
文摘Based on data from a petrochemical company’s MIP unit over the past three years,19 input variables and 2 output variables were selected for modeling using the maximum information coefficient and Pearson correlation coefficient among 155 variables,which included properties of feedstock oil and spent catalyst,operational variables,and material flows.The distillation range variables were reduced using factor analysis,and the feedstock oils were clustered into three types using the K-means++algorithm.Each feedstock oil type was then used as an input variable for modeling.An XGBoost model and a back propagation(BP)neural network model with a structure of 20-15-15-2 were developed to predict the combined yield of gasoline and propylene,as well as the coke yield.In the test set,the BP neural network model demonstrated better fitting and generalization abilities with a mean absolute percentage error and determination coefficient of 1.48%and 0.738,respectively,compared to the XGBoost model.It was therefore chosen for further optimization work.The genetic algorithm was utilized to optimize operational variables in order to increase the combined yield of gasoline and propylene while controlling the growth of coke yield.Seven commercial test results in the MIP unit showed an average increase of 1.39 percentage points for the combined yield of gasoline and propylene and an average decrease of 0.11 percentage points for coke yield.These results indicate that the model effectively improves the combined yield of gasoline and propylene while controlling the increase in coke yield.
基金funded by the National Natural Science Foundation of China(31730073)。
文摘For various sexually mature insects,including the brown planthopper(BPH,Nilaparvata lugens),the abdominal vibration(AV)signal is the initiation of the mating process,and itiscritical to the successofmating.Currently,there are few studies on the genetic and molecular mechanisms of AV regulation.Ourprevious AV-related transcriptomic study in female BPH identified myoinhibitory peptide(NlMIP)as a gene that potentially affects AV statusinfemales,buthow NlMIP affects AV status remains unknown.In this study,we confirmed that NlMIP regulates AV production and mating behavior in female BPH.When the RNAi knockdown efficiency of NlMIP was 59.00%,the probability of females producing AV and the mating rate in 1 h decreased by 38.89 and 61.11%,respectively.In addition,six mature peptides of NlMIP were synthesized and they were able to regulate AV production and mating behavior in females,with NlMIP2having the strongest effect.The A-family neuropeptide GPCR 10(NlA10)was found to be a potential receptor for NlMIP based on a phylogenetic tree analysis and the fact that NlMIP mature peptides effectively activated NlA10.After NlA10was knocked down,the probability of females producing AV and the mating rate in 1 h had reductions of 28.89 and 43.33%,respectively.When activated by NlMIP2,NlA10 coupled the Gαi/q signalling pathways,thereby inhibiting the downstream AC/cAMP/PKA,activating the PLC/Ca^(2+)/PKC signalling pathways and then activating MEK1/2 in a cascade to mediate the phosphorylation of ERK1/2,and finally regulating the AV of females.These results provide a basis for the prevention and control of the brown planthopper pest by disrupting female AV.
