Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently.The pharmac...Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently.The pharmaceutical supply chain poses different challenging issues,encompasses supply chain visibility,cold-chain shipping,drug counterfeiting,and rising prescription drug prices,which can considerably surge out-of-pocket patient costs.Blockchain(BC)offers the technical base for such a scheme,as it could track legitimate drugs and avoid fake circulation.The designers presented the procedure of BC with fabric for creating a secured drug supplychain management(DSCM)method.With this motivation,the study presents a new blockchain with optimal deep learning-enabled DSCM and recommendation scheme(BCODL-DSCMRS)for Pharmaceutical Industries.Firstly,Hyperledger fabric is used for DSC management,enabling effective tracking processes in the smart pharmaceutical industry.In addition,a hybrid deep belief network(HDBN)model is used to suggest the best or top-rated medicines to healthcare providers and consumers.The spotted hyena optimizer(SHO)algorithm is used to optimize the performance of the HDBN model.The design of the HSO algorithm for tuning the HDBN model demonstrates the novelty of the work.The presented model is tested on the UCI repository’s open-access drug reviews database.展开更多
Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the tran...Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the transition of China＇s IC industry from a state-led integrated device manufacturers＇ model to deeper integration into the GPN. We also explore the technological sources, the upgrading dynamics as well as the positioning of different nodes of China＇s IC industry in the GPN. We conclude that the ＂East Asia model＇＂ of gradual industrial upgrading might not apply anymore in the new era of GPN. High-technology industries can now be upgraded based on a parallel evolution model. Policy implications for China＇s high-technology industrial upgrading strategies are drawn from our analysis.展开更多
文摘Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently.The pharmaceutical supply chain poses different challenging issues,encompasses supply chain visibility,cold-chain shipping,drug counterfeiting,and rising prescription drug prices,which can considerably surge out-of-pocket patient costs.Blockchain(BC)offers the technical base for such a scheme,as it could track legitimate drugs and avoid fake circulation.The designers presented the procedure of BC with fabric for creating a secured drug supplychain management(DSCM)method.With this motivation,the study presents a new blockchain with optimal deep learning-enabled DSCM and recommendation scheme(BCODL-DSCMRS)for Pharmaceutical Industries.Firstly,Hyperledger fabric is used for DSC management,enabling effective tracking processes in the smart pharmaceutical industry.In addition,a hybrid deep belief network(HDBN)model is used to suggest the best or top-rated medicines to healthcare providers and consumers.The spotted hyena optimizer(SHO)algorithm is used to optimize the performance of the HDBN model.The design of the HSO algorithm for tuning the HDBN model demonstrates the novelty of the work.The presented model is tested on the UCI repository’s open-access drug reviews database.
基金funding from the Ministry of Science and Technology of China and National Social Science Foundation(No.07CZZ012)
文摘Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the transition of China＇s IC industry from a state-led integrated device manufacturers＇ model to deeper integration into the GPN. We also explore the technological sources, the upgrading dynamics as well as the positioning of different nodes of China＇s IC industry in the GPN. We conclude that the ＂East Asia model＇＂ of gradual industrial upgrading might not apply anymore in the new era of GPN. High-technology industries can now be upgraded based on a parallel evolution model. Policy implications for China＇s high-technology industrial upgrading strategies are drawn from our analysis.
