The purpose of this research work is to investigate the numerical solutions of the fractional dengue transmission model(FDTM)in the presence of Wolbachia using the stochastic-based Levenberg-Marquardt neural network(L...The purpose of this research work is to investigate the numerical solutions of the fractional dengue transmission model(FDTM)in the presence of Wolbachia using the stochastic-based Levenberg-Marquardt neural network(LM-NN)technique.The fractional dengue transmission model(FDTM)consists of 12 compartments.The human population is divided into four compartments;susceptible humans(S_(h)),exposed humans(E_(h)),infectious humans(I_(h)),and recovered humans(R_(h)).Wolbachia-infected and Wolbachia-uninfected mosquito population is also divided into four compartments:aquatic(eggs,larvae,pupae),susceptible,exposed,and infectious.We investigated three different cases of vertical transmission probability(η),namely when Wolbachia-free mosquitoes persist only(η=0.6),when both types of mosquitoes persist(η=0.8),and when Wolbachia-carrying mosquitoes persist only(η=1).The objective of this study is to investigate the effectiveness of Wolbachia in reducing dengue and presenting the numerical results by using the stochastic structure LM-NN approach with 10 hidden layers of neurons for three different cases of the fractional order derivatives(α=0.4,0.6,0.8).LM-NN approach includes a training,validation,and testing procedure to minimize the mean square error(MSE)values using the reference dataset(obtained by solving the model using the Adams-Bashforth-Moulton method(ABM).The distribution of data is 80% data for training,10% for validation,and,10% for testing purpose)results.A comprehensive investigation is accessible to observe the competence,precision,capacity,and efficiency of the suggested LM-NN approach by executing the MSE,state transitions findings,and regression analysis.The effectiveness of the LM-NN approach for solving the FDTM is demonstrated by the overlap of the findings with trustworthy measures,which achieves a precision of up to 10^(-4).展开更多
DEAR EDITOR,Insertion sequences(ISs) are the simplest structural transposable elements(TEs) in prokaryotes, consisting only of a transposase coding sequence and its bilateral short terminal inverted repeats. Due to th...DEAR EDITOR,Insertion sequences(ISs) are the simplest structural transposable elements(TEs) in prokaryotes, consisting only of a transposase coding sequence and its bilateral short terminal inverted repeats. Due to their gradually streamlined genomic construction, TEs rarely exist in the genomes of obligate endosymbionts. However, TE content, especially ISs.展开更多
【目的】为了揭示山东省韭菜迟眼蕈蚊Bradysia odoriphaga Yang et Zhang种群共生菌Wolbachia的感染率及其分类地位,探讨该共生菌对韭菜迟眼蕈蚊的潜在影响。【方法】利用线粒体细胞色素氧化酶I（mt COI）基因引物（LCO1490/HCO2198）,...【目的】为了揭示山东省韭菜迟眼蕈蚊Bradysia odoriphaga Yang et Zhang种群共生菌Wolbachia的感染率及其分类地位,探讨该共生菌对韭菜迟眼蕈蚊的潜在影响。【方法】利用线粒体细胞色素氧化酶I（mt COI）基因引物（LCO1490/HCO2198）,通过扩增测序和序列比对对采自山东省12个地区的根蛆种群进行了分类鉴定。在上述基础上,利用Wolbachia的16S r DNA和wsp基因特异引物（分别为16S-F/16S-R和81F/691R）对鉴别出的11个韭菜迟眼蕈蚊种群体内Wolbachia感染情况进行了PCR检测;对感染个体体内Wolbachia依据16S r DNA基因片段序列进行分类鉴定。【结果】山东省12个根蛆种群中,11个种群为韭菜迟眼蕈蚊种群。基于Wolbachia的16S r DNA基因特异引物检测结果发现,这些韭菜迟眼蕈蚊种群广泛感染Wolbachia（感染率为6.67%~93.33%）,而利用wsp基因特异引物检测的感染率（0.00%~40.00%）相对较低些。基于Wolbachia的16S r DNA基因构建系统发育树表明,这些韭菜迟眼蕈蚊种群感染的Wolbachia全部属于A组。【结论】确定了Wolbachia在山东省韭菜迟眼蕈蚊体内的感染率及其分类地位,为研究Wolbachia对韭菜迟眼蕈蚊生物学及生态学的影响奠定了基础。展开更多
文摘The purpose of this research work is to investigate the numerical solutions of the fractional dengue transmission model(FDTM)in the presence of Wolbachia using the stochastic-based Levenberg-Marquardt neural network(LM-NN)technique.The fractional dengue transmission model(FDTM)consists of 12 compartments.The human population is divided into four compartments;susceptible humans(S_(h)),exposed humans(E_(h)),infectious humans(I_(h)),and recovered humans(R_(h)).Wolbachia-infected and Wolbachia-uninfected mosquito population is also divided into four compartments:aquatic(eggs,larvae,pupae),susceptible,exposed,and infectious.We investigated three different cases of vertical transmission probability(η),namely when Wolbachia-free mosquitoes persist only(η=0.6),when both types of mosquitoes persist(η=0.8),and when Wolbachia-carrying mosquitoes persist only(η=1).The objective of this study is to investigate the effectiveness of Wolbachia in reducing dengue and presenting the numerical results by using the stochastic structure LM-NN approach with 10 hidden layers of neurons for three different cases of the fractional order derivatives(α=0.4,0.6,0.8).LM-NN approach includes a training,validation,and testing procedure to minimize the mean square error(MSE)values using the reference dataset(obtained by solving the model using the Adams-Bashforth-Moulton method(ABM).The distribution of data is 80% data for training,10% for validation,and,10% for testing purpose)results.A comprehensive investigation is accessible to observe the competence,precision,capacity,and efficiency of the suggested LM-NN approach by executing the MSE,state transitions findings,and regression analysis.The effectiveness of the LM-NN approach for solving the FDTM is demonstrated by the overlap of the findings with trustworthy measures,which achieves a precision of up to 10^(-4).
基金supported by the National Natural Science Foundation of China (31830084, 32070466)Fundamental Research Funds for the Central Universities,Nankai University (96172158,96173250, 91822294)。
文摘DEAR EDITOR,Insertion sequences(ISs) are the simplest structural transposable elements(TEs) in prokaryotes, consisting only of a transposase coding sequence and its bilateral short terminal inverted repeats. Due to their gradually streamlined genomic construction, TEs rarely exist in the genomes of obligate endosymbionts. However, TE content, especially ISs.
文摘【目的】为了揭示山东省韭菜迟眼蕈蚊Bradysia odoriphaga Yang et Zhang种群共生菌Wolbachia的感染率及其分类地位,探讨该共生菌对韭菜迟眼蕈蚊的潜在影响。【方法】利用线粒体细胞色素氧化酶I（mt COI）基因引物（LCO1490/HCO2198）,通过扩增测序和序列比对对采自山东省12个地区的根蛆种群进行了分类鉴定。在上述基础上,利用Wolbachia的16S r DNA和wsp基因特异引物（分别为16S-F/16S-R和81F/691R）对鉴别出的11个韭菜迟眼蕈蚊种群体内Wolbachia感染情况进行了PCR检测;对感染个体体内Wolbachia依据16S r DNA基因片段序列进行分类鉴定。【结果】山东省12个根蛆种群中,11个种群为韭菜迟眼蕈蚊种群。基于Wolbachia的16S r DNA基因特异引物检测结果发现,这些韭菜迟眼蕈蚊种群广泛感染Wolbachia（感染率为6.67%~93.33%）,而利用wsp基因特异引物检测的感染率（0.00%~40.00%）相对较低些。基于Wolbachia的16S r DNA基因构建系统发育树表明,这些韭菜迟眼蕈蚊种群感染的Wolbachia全部属于A组。【结论】确定了Wolbachia在山东省韭菜迟眼蕈蚊体内的感染率及其分类地位,为研究Wolbachia对韭菜迟眼蕈蚊生物学及生态学的影响奠定了基础。
