Water is one of the basic resources for human survival.Water pollution monitoring and protection have been becoming a major problem for many countries all over the world.Most traditional water quality monitoring syste...Water is one of the basic resources for human survival.Water pollution monitoring and protection have been becoming a major problem for many countries all over the world.Most traditional water quality monitoring systems,however,generally focus only on water quality data collection,ignoring data analysis and data mining.In addition,some dirty data and data loss may occur due to power failures or transmission failures,further affecting data analysis and its application.In order to meet these needs,by using Internet of things,cloud computing,and big data technologies,we designed and implemented a water quality monitoring data intelligent service platform in C#and PHP language.The platform includes monitoring point addition,monitoring point map labeling,monitoring data uploading,monitoring data processing,early warning of exceeding the standard of monitoring indicators,and other functions modules.Using this platform,we can realize the automatic collection of water quality monitoring data,data cleaning,data analysis,intelligent early warning and early warning information push,and other functions.For better security and convenience,we deployed the system in the Tencent Cloud and tested it.The testing results showed that the data analysis platform could run well and will provide decision support for water resource protection.展开更多
Water resources are one of the basic resources for human survival,and water protection has been becoming a major problem for countries around the world.However,most of the traditional water quality monitoring research...Water resources are one of the basic resources for human survival,and water protection has been becoming a major problem for countries around the world.However,most of the traditional water quality monitoring research work is still concerned with the collection of water quality indicators,and ignored the analysis of water quality monitoring data and its value.In this paper,by adopting Laravel and AdminTE framework,we introduced how to design and implement a water quality data visualization platform based on Baidu ECharts.Through the deployed water quality sensor,the collected water quality indicator data is transmitted to the big data processing platform that deployed on Tencent Cloud in real time through the 4G network.The collected monitoring data is analyzed,and the processing result is visualized by Baidu ECharts.The test results showed that the designed system could run well and will provide decision support for water resource protection.展开更多
To the Editor:Liposarcoma is a common subtype of retroperitoneal sarcoma.Due to the complicated anatomical heterogeneity of retroperitoneal liposarcoma(RPLS),it compresses and invades adjacent important organs,and mas...To the Editor:Liposarcoma is a common subtype of retroperitoneal sarcoma.Due to the complicated anatomical heterogeneity of retroperitoneal liposarcoma(RPLS),it compresses and invades adjacent important organs,and massive bleeding frequently occurs during surgery.Therefore,a combined visceral resection is required,which means that RPLS surgery has greater difficulty and a lower complete resection rate compared to surgeries for other solid tumors.Although in our previous studies we found that intraperitoneal thermoperfusion chemotherapy including cisplatin may improve the prognosis of patients with RPLS,[1]surgery is the most effective treatment for RPLS,and adjuvant therapies have shown almost ineffective.There is a paucity of research focusing specifically on molecular mechanisms underlying RPLS pathogenesis.Consequently,no diagnostic biomarkers,druggable targets,or prognostic factors are available for RPLS.展开更多
This paper studies the procurement management of carbon financial instruments and the production decisions for an emission-dependent remanufacturing firm under service requirements.In the presence of demand uncertaint...This paper studies the procurement management of carbon financial instruments and the production decisions for an emission-dependent remanufacturing firm under service requirements.In the presence of demand uncertainty,carbon emission options are introduced to hedge risks for the firm who purchases carbon financial instruments under a cap-flexible emission trading scheme(ETS)and then conducts remanufacturing.We develop three optimization models to determine the optimal remanufacturing quantity(procurement quantity of carbon financial instruments)maximizing the firm's expected profit under three contracts:a pure wholesale price contract,a pure carbon option contract,and a portfolio contract.Through analyses and comparisons of optimal solutions,we demonstrate the values of introducing carbon options and committing to service levels for the firm.Compared with the other two pure contracts,the portfolio contract makes the firm better off.However,high service requirements may lead to a profit loss to the firm.We generalize to the cases when the yield rate is dependent on the quality of used products,when the yield is stochastic,and when carbon price performs volatility.Discussion of these extensions illuminates how the variability of used product quality,yield rate and carbon price influences the firm's performances.展开更多
基金the National Natural Science Foundation of China(No.61304208)Scientific Research Fund of Hunan Province Education Department(18C0003)+5 种基金Researchproject on teaching reform in colleges and universities of Hunan Province Education Department(20190147)Changsha City Science and Technology Plan Program(K1501013-11)Hunan NormalUniversity University-Industry Cooperation.This work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data PropertyUniversities of Hunan ProvinceOpen projectgrant number 20181901CRP04.
文摘Water is one of the basic resources for human survival.Water pollution monitoring and protection have been becoming a major problem for many countries all over the world.Most traditional water quality monitoring systems,however,generally focus only on water quality data collection,ignoring data analysis and data mining.In addition,some dirty data and data loss may occur due to power failures or transmission failures,further affecting data analysis and its application.In order to meet these needs,by using Internet of things,cloud computing,and big data technologies,we designed and implemented a water quality monitoring data intelligent service platform in C#and PHP language.The platform includes monitoring point addition,monitoring point map labeling,monitoring data uploading,monitoring data processing,early warning of exceeding the standard of monitoring indicators,and other functions modules.Using this platform,we can realize the automatic collection of water quality monitoring data,data cleaning,data analysis,intelligent early warning and early warning information push,and other functions.For better security and convenience,we deployed the system in the Tencent Cloud and tested it.The testing results showed that the data analysis platform could run well and will provide decision support for water resource protection.
基金This work is supported by National Natural Science Foundation of China 61304208by the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property Open Fund Project 20181901CRP04+2 种基金by the Scientific Research Fund of Hunan Province Education Department 18C0003by the Research Project on Teaching Reform in General Colleges and Universities,Hunan Provincial Education Department 20190147by the Hunan Normal University Ungraduated Innovation and Entrepreneurship Training Plan Project 2019127.
文摘Water resources are one of the basic resources for human survival,and water protection has been becoming a major problem for countries around the world.However,most of the traditional water quality monitoring research work is still concerned with the collection of water quality indicators,and ignored the analysis of water quality monitoring data and its value.In this paper,by adopting Laravel and AdminTE framework,we introduced how to design and implement a water quality data visualization platform based on Baidu ECharts.Through the deployed water quality sensor,the collected water quality indicator data is transmitted to the big data processing platform that deployed on Tencent Cloud in real time through the 4G network.The collected monitoring data is analyzed,and the processing result is visualized by Baidu ECharts.The test results showed that the designed system could run well and will provide decision support for water resource protection.
基金Peking University International Hospital Research Grant(No.YN2019QN11)Beijing Science and Technology Commission"Applied research on clinical characteristics of the capital city"(No.Z171100001017095)
文摘To the Editor:Liposarcoma is a common subtype of retroperitoneal sarcoma.Due to the complicated anatomical heterogeneity of retroperitoneal liposarcoma(RPLS),it compresses and invades adjacent important organs,and massive bleeding frequently occurs during surgery.Therefore,a combined visceral resection is required,which means that RPLS surgery has greater difficulty and a lower complete resection rate compared to surgeries for other solid tumors.Although in our previous studies we found that intraperitoneal thermoperfusion chemotherapy including cisplatin may improve the prognosis of patients with RPLS,[1]surgery is the most effective treatment for RPLS,and adjuvant therapies have shown almost ineffective.There is a paucity of research focusing specifically on molecular mechanisms underlying RPLS pathogenesis.Consequently,no diagnostic biomarkers,druggable targets,or prognostic factors are available for RPLS.
基金We thank the editor and two anonymous referees for their constructive comments and many valuable suggestions that have significantly improved the quality of this paper.This work has been supported by the National Natural Science Foundation of China(NSFC),under Grant Nos.71971058,71571042,and 71971210.
文摘This paper studies the procurement management of carbon financial instruments and the production decisions for an emission-dependent remanufacturing firm under service requirements.In the presence of demand uncertainty,carbon emission options are introduced to hedge risks for the firm who purchases carbon financial instruments under a cap-flexible emission trading scheme(ETS)and then conducts remanufacturing.We develop three optimization models to determine the optimal remanufacturing quantity(procurement quantity of carbon financial instruments)maximizing the firm's expected profit under three contracts:a pure wholesale price contract,a pure carbon option contract,and a portfolio contract.Through analyses and comparisons of optimal solutions,we demonstrate the values of introducing carbon options and committing to service levels for the firm.Compared with the other two pure contracts,the portfolio contract makes the firm better off.However,high service requirements may lead to a profit loss to the firm.We generalize to the cases when the yield rate is dependent on the quality of used products,when the yield is stochastic,and when carbon price performs volatility.Discussion of these extensions illuminates how the variability of used product quality,yield rate and carbon price influences the firm's performances.
