In modern time,experts started to use interdisciplinary properties with the development of technology and science.Thus,these disciplines provide more sophisticated properties of real-world problems.In this sense,some ...In modern time,experts started to use interdisciplinary properties with the development of technology and science.Thus,these disciplines provide more sophisticated properties of real-world problems.In this sense,some models need to be investigated by using revised and modified traditional methods.The first discipline is the applied sciences such as physics,engineering,mechanics,electricity,biology,economy and mathematical applications[1-5].In this stage,many methods[5-10]are developed and modified.To uncover the deep properties of problems is to use the main properties of such interdisciplinary properties.Furthermore,works conducted on such mathematical models including non-local operators,partial,ordinary and integer order have introduced a deeper investigation of problems for experts.By using technological tools,expertsmay observe more realistic and exact results of models.展开更多
Over the past years,deep learning has established itself as a powerful tool across a broad spectrum of domains,e.g.,prediction,classification,detection,segmentation,diagnosis,interpretation,reconstruction,etc.While de...Over the past years,deep learning has established itself as a powerful tool across a broad spectrum of domains,e.g.,prediction,classification,detection,segmentation,diagnosis,interpretation,reconstruction,etc.While deep neural networks initially found nurture in the computer vision community,they have quickly spread over medical imaging applications.展开更多
In this paper, the mathematical dynamical model of a PEMFC （proton exchange membrane fuel cells） stack, integrated with an automotive synchronous electrical power drive, developed in Matlab environment, is shown. Lo...In this paper, the mathematical dynamical model of a PEMFC （proton exchange membrane fuel cells） stack, integrated with an automotive synchronous electrical power drive, developed in Matlab environment, is shown. Lots of simulations have been executed in many load conditions. In this paper, the load conditions regarding an electrical vehicle for disabled people is reported. The innovation in this field concerns the integration, in the PEMFC stack mathematical dynamic model, of a synchronous electrical power drive for automotive purposes. Goal of the simulator design has been to create an useful tool which is able to evaluate the behaviour of the whole system so as to optimize the components choose. As regards the simulations with a synchronous electrical power drive, the complete mathematical model allows to evaluate the PEMFC stack performances and electrochemical efficiency.展开更多
We detail some of the understudied aspects of the flow inside and around the Hexactinellid Sponge Euplectella aspergillum.By leveraging the flexibility of the Lattice Boltzmann Method,High Performance Computing simula...We detail some of the understudied aspects of the flow inside and around the Hexactinellid Sponge Euplectella aspergillum.By leveraging the flexibility of the Lattice Boltzmann Method,High Performance Computing simulations are performed to dissect the complex conditions corresponding to the actual environment at the bottom of the ocean,at depths between 100 and 1,000 m.These large-scale simulations unveil potential clues on the evolutionary adaptations of these deep-sea sponges in response to the surrounding fluid flow,and they open the path to future investigations at the interface between physics,engineering and biology.展开更多
A new model that describes the life cycle of mosquitoes of the species Aedes aegypti,main carriers of vector-borne diseases,is proposed.The novelty is to include in the model the coexistence of two independent diffusi...A new model that describes the life cycle of mosquitoes of the species Aedes aegypti,main carriers of vector-borne diseases,is proposed.The novelty is to include in the model the coexistence of two independent diffusion processes,one fast which obeys the constitutive Fick’s law,the other slow which satisfies the Cattaneo evolution equation.The analysis of the corresponding ODE model shows the overall stability of the Mosquitoes-Free Equilibrium(MFE),together with the local stability of the other equilibrium point admitted by the system.Traveling wave type solutions have been investigated,providing an estimate of the minimal speed for which there are monotone waves that connect the homogeneous equilibria allowed by the system.A special section is dedicated to the analysis of the hyperbolic model obtained neglecting the fast diffusive contribution.This particular case is suitable to describe the biological process as it overcomes the paradox of infinite speed propagation,typical of parabolic systems.Several numerical simulations compare the existing models in the literature with those presented in this discussion,showing that although the generalized model is parabolic,the associated wave velocity admits upper bound represented by the speed of the waves linked to the classic parabolic model present in the published literature,so the presence of a slow flux together with a fast one slows down the speed with which a population spreads.展开更多
文摘In modern time,experts started to use interdisciplinary properties with the development of technology and science.Thus,these disciplines provide more sophisticated properties of real-world problems.In this sense,some models need to be investigated by using revised and modified traditional methods.The first discipline is the applied sciences such as physics,engineering,mechanics,electricity,biology,economy and mathematical applications[1-5].In this stage,many methods[5-10]are developed and modified.To uncover the deep properties of problems is to use the main properties of such interdisciplinary properties.Furthermore,works conducted on such mathematical models including non-local operators,partial,ordinary and integer order have introduced a deeper investigation of problems for experts.By using technological tools,expertsmay observe more realistic and exact results of models.
基金This editorial work was partially supported by Hope Foundation for Cancer Research,UK(RM60G0680)British Heart Foundation Accelerator Award,UK+3 种基金Royal Society International Exchanges Cost Share Award,UK(RP202G0230)Medical Research Council Confidence in Concept Award,UK(MC_PC_17171)Sino-UK Industrial Fund,UK(RP202G0289)Global Challenges Research Fund(GCRF),UK(P202PF11).
文摘Over the past years,deep learning has established itself as a powerful tool across a broad spectrum of domains,e.g.,prediction,classification,detection,segmentation,diagnosis,interpretation,reconstruction,etc.While deep neural networks initially found nurture in the computer vision community,they have quickly spread over medical imaging applications.
文摘In this paper, the mathematical dynamical model of a PEMFC （proton exchange membrane fuel cells） stack, integrated with an automotive synchronous electrical power drive, developed in Matlab environment, is shown. Lots of simulations have been executed in many load conditions. In this paper, the load conditions regarding an electrical vehicle for disabled people is reported. The innovation in this field concerns the integration, in the PEMFC stack mathematical dynamic model, of a synchronous electrical power drive for automotive purposes. Goal of the simulator design has been to create an useful tool which is able to evaluate the behaviour of the whole system so as to optimize the components choose. As regards the simulations with a synchronous electrical power drive, the complete mathematical model allows to evaluate the PEMFC stack performances and electrochemical efficiency.
基金G.F.acknowledges CINECA computational grant ISCRA-B IsB17–SPONGES,no.HP10B9ZOKQ and,partially,the support of PRIN projects CUP E82F16003010006(principal investigator,G.F.for the Tor Vergata Research Unit)and CUP E84I19001020006(principal investigator,G.Bella)support from the European Research Council under the Horizon 2020 Programme advanced grant agreement no.739964(‘COPMAT’)M.P.acknowledges the support of the National Science Foundation under grant no.CMMI 1901697.
文摘We detail some of the understudied aspects of the flow inside and around the Hexactinellid Sponge Euplectella aspergillum.By leveraging the flexibility of the Lattice Boltzmann Method,High Performance Computing simulations are performed to dissect the complex conditions corresponding to the actual environment at the bottom of the ocean,at depths between 100 and 1,000 m.These large-scale simulations unveil potential clues on the evolutionary adaptations of these deep-sea sponges in response to the surrounding fluid flow,and they open the path to future investigations at the interface between physics,engineering and biology.
文摘A new model that describes the life cycle of mosquitoes of the species Aedes aegypti,main carriers of vector-borne diseases,is proposed.The novelty is to include in the model the coexistence of two independent diffusion processes,one fast which obeys the constitutive Fick’s law,the other slow which satisfies the Cattaneo evolution equation.The analysis of the corresponding ODE model shows the overall stability of the Mosquitoes-Free Equilibrium(MFE),together with the local stability of the other equilibrium point admitted by the system.Traveling wave type solutions have been investigated,providing an estimate of the minimal speed for which there are monotone waves that connect the homogeneous equilibria allowed by the system.A special section is dedicated to the analysis of the hyperbolic model obtained neglecting the fast diffusive contribution.This particular case is suitable to describe the biological process as it overcomes the paradox of infinite speed propagation,typical of parabolic systems.Several numerical simulations compare the existing models in the literature with those presented in this discussion,showing that although the generalized model is parabolic,the associated wave velocity admits upper bound represented by the speed of the waves linked to the classic parabolic model present in the published literature,so the presence of a slow flux together with a fast one slows down the speed with which a population spreads.
