As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of t...As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of the neighboring countries of China.Therefore,to enhance its support capability in consolidating and improving the national food security strategy,Yunnan should further develop its comparative advantages by building the regional food industry chain and supply chain depending on the province's grain system of production,processing,storage and transportation,as well as its agricultural economic and trade cooperation platforms and channels with the neighboring countries of China.In this study,comparative analysis and related methods were used to systematically analyze the scale of grain production in Yunnan,the proportion of its grain production to the national total amount,the transition of its grain variety structure and the characteristics of its food security system,as well as the grain export trade of the 6 countries in the Indo-China Peninsula from 2010 to 2019.Then,the problems in grain production in Yunnan were clarified,such as the decrease of grain ration production capacity,the decline of comparative benefits of grain production and the insufficient support for agricultural"going global"strategy.Finally,a series of countermeasures were put forward,including further implementing the strategy of"reserving grain in land and technology"to increase Yunnan's production capacity of grain,focusing on agricultural products storage and transportation system to improve the ability to obtain grain from abroad,expanding the border processing and logistics industry,optimizing the policy of agricultural products'import and export,and etc.展开更多
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
基金Supported by the Construction of Think Tank for Yunnan Agricultural Development and Policy Research on Science and Technology Management(202102AE090036-15)the Research Project of Yunnan Provincial Committee of Jiusan Society(YN93/2020018)the Talent Project for Yunling Scholars(YNWR-YLXZ-2019-013)。
文摘As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of the neighboring countries of China.Therefore,to enhance its support capability in consolidating and improving the national food security strategy,Yunnan should further develop its comparative advantages by building the regional food industry chain and supply chain depending on the province's grain system of production,processing,storage and transportation,as well as its agricultural economic and trade cooperation platforms and channels with the neighboring countries of China.In this study,comparative analysis and related methods were used to systematically analyze the scale of grain production in Yunnan,the proportion of its grain production to the national total amount,the transition of its grain variety structure and the characteristics of its food security system,as well as the grain export trade of the 6 countries in the Indo-China Peninsula from 2010 to 2019.Then,the problems in grain production in Yunnan were clarified,such as the decrease of grain ration production capacity,the decline of comparative benefits of grain production and the insufficient support for agricultural"going global"strategy.Finally,a series of countermeasures were put forward,including further implementing the strategy of"reserving grain in land and technology"to increase Yunnan's production capacity of grain,focusing on agricultural products storage and transportation system to improve the ability to obtain grain from abroad,expanding the border processing and logistics industry,optimizing the policy of agricultural products'import and export,and etc.
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.
