The product functional confguration(PFC)is typically used by frms to satisfy the individual requirements of customers and is realized based on market analysis.This study aims to help frms analyze functions and realize...The product functional confguration(PFC)is typically used by frms to satisfy the individual requirements of customers and is realized based on market analysis.This study aims to help frms analyze functions and realize functional confgurations using patent data.This study frst proposes a patent-data-driven PFC method based on a hypergraph network.It then constructs a weighted network model to optimize the combination of product function quantity and object from the perspective of big data,as follows:(1)The functional knowledge contained in the patent is extracted.(2)The functional hypergraph is constructed based on the co-occurrence relationship between patents and applicants.(3)The function and patent weight are calculated from the patent applicant’s perspective and patent value.(4)A weight calculation model of the PFC is developed.(5)The weighted frequent subgraph algorithm is used to obtain the optimal function combination list.This method is applied to an innovative design process of a bathroom shower.The results indicate that this method can help frms detach optimal function candidates and develop a multifunctional product.展开更多
Nucleus is essentially composed of protons and neutrons,which are commonly known as nucleons.Interestingly,some of nucleons may group together and exhibit collective behavior inside a nucleus.Such clustering efects ha...Nucleus is essentially composed of protons and neutrons,which are commonly known as nucleons.Interestingly,some of nucleons may group together and exhibit collective behavior inside a nucleus.Such clustering efects have been known since the early stages of nuclear physics because of the observation and description ofα-cluster decay from many heavy nuclei.Subsequent studies demonstrated that cluster structures exist in many nuclear systems,especially in weakly bound or excited states,and are complementary to the shell-like structures.In this review article,we provide a brief historical recall of the feld,and follow it with a conceptual and logical description of the major theoretical models that have been frequently applied in the literature to describe nuclear clustering.Experimental methods and progress are outlined,recent outcomes are emphasized,and perspectives relevant to future studies of heavy neutron-rich systems are discussed.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51875220)China Fujian Province Social Science Foundation Research Project(Grant No.FJ2021B128).
文摘The product functional confguration(PFC)is typically used by frms to satisfy the individual requirements of customers and is realized based on market analysis.This study aims to help frms analyze functions and realize functional confgurations using patent data.This study frst proposes a patent-data-driven PFC method based on a hypergraph network.It then constructs a weighted network model to optimize the combination of product function quantity and object from the perspective of big data,as follows:(1)The functional knowledge contained in the patent is extracted.(2)The functional hypergraph is constructed based on the co-occurrence relationship between patents and applicants.(3)The function and patent weight are calculated from the patent applicant’s perspective and patent value.(4)A weight calculation model of the PFC is developed.(5)The weighted frequent subgraph algorithm is used to obtain the optimal function combination list.This method is applied to an innovative design process of a bathroom shower.The results indicate that this method can help frms detach optimal function candidates and develop a multifunctional product.
基金National Key R&D Program of China(Nos.2023YFA1606403,2023YFE0101600,2022YFA1605100,and 2023YFE0101500)National Natural Science Foundation of China(Nos.12027809,11961141003,and 12275006)。
文摘Nucleus is essentially composed of protons and neutrons,which are commonly known as nucleons.Interestingly,some of nucleons may group together and exhibit collective behavior inside a nucleus.Such clustering efects have been known since the early stages of nuclear physics because of the observation and description ofα-cluster decay from many heavy nuclei.Subsequent studies demonstrated that cluster structures exist in many nuclear systems,especially in weakly bound or excited states,and are complementary to the shell-like structures.In this review article,we provide a brief historical recall of the feld,and follow it with a conceptual and logical description of the major theoretical models that have been frequently applied in the literature to describe nuclear clustering.Experimental methods and progress are outlined,recent outcomes are emphasized,and perspectives relevant to future studies of heavy neutron-rich systems are discussed.
