This study directs the discussion of HIV disease with a novel kind of complex dynamical generalized and piecewise operator in the sense of classical and Atangana Baleanu(AB)derivatives having arbitrary order.The HIV i...This study directs the discussion of HIV disease with a novel kind of complex dynamical generalized and piecewise operator in the sense of classical and Atangana Baleanu(AB)derivatives having arbitrary order.The HIV infection model has a susceptible class,a recovered class,along with a case of infection divided into three sub-different levels or categories and the recovered class.The total time interval is converted into two,which are further investigated for ordinary and fractional order operators of the AB derivative,respectively.The proposed model is tested separately for unique solutions and existence on bi intervals.The numerical solution of the proposed model is treated by the piece-wise numerical iterative scheme of Newtons Polynomial.The proposed method is established for piece-wise derivatives under natural order and non-singular Mittag-Leffler Law.The cross-over or bending characteristics in the dynamical system of HIV are easily examined by the aspect of this research having a memory effect for controlling the said disease.This study uses the neural network(NN)technique to obtain a better set of weights with low residual errors,and the epochs number is considered 1000.The obtained figures represent the approximate solution and absolute error which are tested with NN to train the data accurately.展开更多
Although national transplant organizations share common visions and goals,the creation of a unified global organization remains impractical.Differences in ethnicity,culture,religion,and education shape local practices...Although national transplant organizations share common visions and goals,the creation of a unified global organization remains impractical.Differences in ethnicity,culture,religion,and education shape local practices and infrastructure,making the establishment of a single global entity unfeasible.Even with these social disparities aside,logistical factors such as time and distance between organ procurement and transplantation sites pose significant challenges.While technological advancements have extended organ preservation times,they have yet to support the demands of transcontinental transplantations effectively.This review presents a comparative analysis of the structures,operational frameworks,policies,and legislation governing various transplant organizations around the world.Key differences pertain to the administration of these organizations,trends in organ donation,and organ allocation policies,which reflect the financial,cultural,and religious diversity across different regions.While a global transplant organization may be out of reach,agreeing on best practices for the benefit of patients is essential.展开更多
基金supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-RP23066).
文摘This study directs the discussion of HIV disease with a novel kind of complex dynamical generalized and piecewise operator in the sense of classical and Atangana Baleanu(AB)derivatives having arbitrary order.The HIV infection model has a susceptible class,a recovered class,along with a case of infection divided into three sub-different levels or categories and the recovered class.The total time interval is converted into two,which are further investigated for ordinary and fractional order operators of the AB derivative,respectively.The proposed model is tested separately for unique solutions and existence on bi intervals.The numerical solution of the proposed model is treated by the piece-wise numerical iterative scheme of Newtons Polynomial.The proposed method is established for piece-wise derivatives under natural order and non-singular Mittag-Leffler Law.The cross-over or bending characteristics in the dynamical system of HIV are easily examined by the aspect of this research having a memory effect for controlling the said disease.This study uses the neural network(NN)technique to obtain a better set of weights with low residual errors,and the epochs number is considered 1000.The obtained figures represent the approximate solution and absolute error which are tested with NN to train the data accurately.
文摘Although national transplant organizations share common visions and goals,the creation of a unified global organization remains impractical.Differences in ethnicity,culture,religion,and education shape local practices and infrastructure,making the establishment of a single global entity unfeasible.Even with these social disparities aside,logistical factors such as time and distance between organ procurement and transplantation sites pose significant challenges.While technological advancements have extended organ preservation times,they have yet to support the demands of transcontinental transplantations effectively.This review presents a comparative analysis of the structures,operational frameworks,policies,and legislation governing various transplant organizations around the world.Key differences pertain to the administration of these organizations,trends in organ donation,and organ allocation policies,which reflect the financial,cultural,and religious diversity across different regions.While a global transplant organization may be out of reach,agreeing on best practices for the benefit of patients is essential.
文摘研究加速K-medoids聚类算法,首先以PAM(partitioning around medoids)、TPAM(triangular inequality elimination criteria PAM)算法为基础给出两个加速引理,并基于中心点之间距离不等式提出两个新加速定理.同时,以O(n+K^2)额外内存空间开销辅助引理、定理的结合而提出加速SPAM(speed up PAM)聚类算法,使得K-medoids聚类算法复杂度由O(K(n-K)~2)降低至O((n-K)~2).在实际及人工模拟数据集上的实验结果表明:相对于PAM,TPAM,FKMEDOIDS(fast K-medoids)等参考算法均有改进,运行时间比PAM至少提升0.828倍.
