The United States continues to be the largest corn producer in the world. How to maximize corn yield and at the same time reduce greenhouse gas emissions, is becoming a challenging effort for growers and researchers. ...The United States continues to be the largest corn producer in the world. How to maximize corn yield and at the same time reduce greenhouse gas emissions, is becoming a challenging effort for growers and researchers. As a result, our understanding of the responses of soil CO2 and CH4 fluxes to agricultural practices in cornfields is still limited. We conducted a 3-yr cornfield experiment to study the responses of soil CO2 and CH4 fluxes to various agricultural practices in middle Tennessee. The agricultural practices included no-tillage + regular applications of urea ammonium nitrate (NT-URAN);no-tillage + regular applications of URAN + denitrification inhibitor (NT-inhi- bitor);no-tillage + regular applications of URAN + biochar (NT-biochar);no-tillage + 20% applications of URAN + chicken litter (NT-litter);no-tillage + split applications of URAN (NT-split);and conventional tillage + regular applications of URAN as a control (CT-URAN). A randomized complete block design was used with six replications. The same amount of fertilizer equivalent to 217 kg·N·ha-1 was applied to all of the experimental plots. The results showed that improved fertilizer and soil management, except the NT-biochar treatment significantly increased soil CO2 flux as compared to the conventional tillage (CT-URAN, 487.05 mg CO2 m-2·h-1). Soil CO2 flux increased exponentially with soil temperature (T 2 flux tended to be positively related to corn yield and/or soil moisture. Soil CH4 flux increased linearly with soil moisture in all treatments. Improved fertilizer and soil management did not alter soil CH4 flux, but significantly affected its moisture sensitivity. Our results indicated that agricultural practices enhancing corn yield may also result in a net increase in carbon emissions from soil, hence reducing the potential of carbon sequestration in croplands.展开更多
The first tier of automotive manufacturers has faced to pressures about move,modify,updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor compan...The first tier of automotive manufacturers has faced to pressures about move,modify,updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements,it has to require absolutely lead time to re-wiring of physical interface for production equipment,needs for change existing program and test over again.For prepare this constraints,it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M(Man,Machine,Material, Method)group management which is supports from WSN (Wireless Sensor Network)of the open embedded device called M2M(Machine to Machine)and major functions of middleware including point manager for real-time device communication,real-time data management,Standard API (Application Program Interface)and application template management.To be application system to RMS (Reconfigurable Manufacturing System)for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.展开更多
The hospital medical crisis management is the strategy adopted by hospitals for medical crisis.It aims to minimize the loss brought about by medical crisis to the hospital through management.By using 4R theory of cris...The hospital medical crisis management is the strategy adopted by hospitals for medical crisis.It aims to minimize the loss brought about by medical crisis to the hospital through management.By using 4R theory of crisis management and taking the incident of"sky-high medical expenses"happened in Second Affiliated Hospital of Harbin Medical University as an example,we study how to improve and perfect the medical crisis management strategy of hospitals in our country.As a result,we think hospitals can improve the crisis management strategy from four aspects of curtailment,preparation,reaction and resilience,so as to solve this issue appropriately,protect the legitimate rights and interests of patients to the greatest extent and promote the sustainable development of the hospital.展开更多
The first tier of automotive manufacturers has faced to pressures about move, modify, updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor comp...The first tier of automotive manufacturers has faced to pressures about move, modify, updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements, it has to require absolutely lead time to re-wiring of physical interface for production equipment, needs for change existing program and test over again. For prepare this constraints, it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M (Man, Machine, Material, Method) group management which is supports from WSN (Wireless Sensor Network) of the open embedded device called M2M (Machine to Machine) and major functions of middleware including point manager for real-time device communication, real-time data management, Standard API (Application Program Interface) and application template management. To be application system to RMS (Reconfigurable Manufacturing System) for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.展开更多
Due to unusual climatic events,more and more strong typhoons(or hurricanes)appear,thus,governments have to formulate suitable crisis management for the visits of typhoons.Recently the visit of typhoon Hato has already...Due to unusual climatic events,more and more strong typhoons(or hurricanes)appear,thus,governments have to formulate suitable crisis management for the visits of typhoons.Recently the visit of typhoon Hato has already caught public’s attention on the effectiveness of Macao SAR Government’s crisis management.The study bases on news coverage of typhoon Hato and the theoretical framework,derived from crisis stage theory and 4R model of crisis management,to review Macao’s crisis management.Expectedly,Macao SAR Government is requested to strengthen corresponding infrastructure and collaboration with neighboring cities in crisis warning system.Senior management accountability and urban renewal policy are also demanded by Macao residents.展开更多
With the rapid growth in the availability of digital health-related data,there is a great demand for the utilization of intelligent information systems within the healthcare sector.These systems can manage and manipul...With the rapid growth in the availability of digital health-related data,there is a great demand for the utilization of intelligent information systems within the healthcare sector.These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks.They can also provide various sustainable health services such as medical error reduction,diagnosis acceleration,and clinical services quality improvement.The intensive care unit(ICU)is one of the most important hospital units.However,there are limited rooms and resources in most hospitals.During times of seasonal diseases and pandemics,ICUs face high admission demand.In line with this increasing number of admissions,determining health risk levels has become an essential and imperative task.It creates a heightened demand for the implementation of an expert decision support system,enabling doctors to accurately and swiftly determine the risk level of patients.Therefore,this study proposes a fuzzy logic inference system built on domain-specific knowledge graphs,as a proof-of-concept,for tackling this healthcare-related issue.The system employs a combination of two sets of fuzzy input parameters to classify health risk levels of new admissions to hospitals.The proposed system implemented utilizes MATLAB Fuzzy Logic Toolbox via several experiments showing the validity of the proposed system.展开更多
The Fourth Industrial Revolution (4IR) is transforming the way we live, learn, work, and relate to one another. However, there is still an awareness inadequacy of the 4IR among project managers and the society in Tanz...The Fourth Industrial Revolution (4IR) is transforming the way we live, learn, work, and relate to one another. However, there is still an awareness inadequacy of the 4IR among project managers and the society in Tanzania, thus low readiness to conceptualize, implement and manage 4IR-related projects in the country. This study aimed to assess the 4IR readiness of project managers in Tanzania. The assessment is made in the frame of 4 readiness dimensions: strategy and governance structure, technology awareness, human capital digital skills development, and social-economic impact. The research used a quantitative method with the diffusion of innovations theory perspective, and data were collected mainly through an online survey questionnaire. The survey aimed at answering the research question concerning the project managers’ readiness for the 4IR. The 50 valid samples were completed by project managers from various industries such as agriculture, finance, consulting, construction, education and training, government, healthcare, Information Technology, and manufacturing. Data were analysed using SPSS. The results revealed that despite the generally low awareness of 4IR, several project managers in Tanzania have some varying awareness of 4IR technologies such as artificial intelligence, Internet of Things (IoT), data analytics, blockchain, robotics, cryptocurrency, chatbots, drones, and other digital transformation platforms. The results also indicated that project managers in Tanzania had little extent in readiness to initiate, develop and implement 4IR products and services due to inadequate 4IR-related awareness, strategy and governance structure, human capital digital skills development, and social economic impact. Consequently, some recommendations are made in the frame of the four assessed readiness dimensions for improvement. The value of this research is mainly to provide the state of 4IR readiness of project managers and associated recommendations to policymakers, practitioners, academia, donors, business industry and youth in digital innovation. The study also contributes to the body of knowledge on 4IR, project management and digital transformation.展开更多
Advanced data mining methods have shown a promising capacity in building energy management.However,in the past decade,such methods are rarely applied in practice,since they highly rely on users to customize solutions ...Advanced data mining methods have shown a promising capacity in building energy management.However,in the past decade,such methods are rarely applied in practice,since they highly rely on users to customize solutions according to the characteristics of target building energy systems.Hence,the major barrier is that the practical applications of such methods remain laborious.It is necessary to enable computers to have the human-like ability to solve data mining tasks.Generative pre-trained transformers(GPT)might be capable of addressing this issue,as some GPT models such as GPT-3.5 and GPT-4 have shown powerful abilities on interaction with humans,code generation,and inference with common sense and domain knowledge.This study explores the potential of the most advanced GPT model(GPT-4)in three data mining scenarios of building energy management,i.e.,energy load prediction,fault diagnosis,and anomaly detection.A performance evaluation framework is proposed to verify the capabilities of GPT-4 on generating energy load prediction codes,diagnosing device faults,and detecting abnormal system operation patterns.It is demonstrated that GPT-4 can automatically solve most of the data mining tasks in this domain,which overcomes the barrier of practical applications of data mining methods in this domain.In the exploration of GPT-4,its advantages and limitations are also discussed comprehensively for revealing future research directions in this domain.展开更多
文摘The United States continues to be the largest corn producer in the world. How to maximize corn yield and at the same time reduce greenhouse gas emissions, is becoming a challenging effort for growers and researchers. As a result, our understanding of the responses of soil CO2 and CH4 fluxes to agricultural practices in cornfields is still limited. We conducted a 3-yr cornfield experiment to study the responses of soil CO2 and CH4 fluxes to various agricultural practices in middle Tennessee. The agricultural practices included no-tillage + regular applications of urea ammonium nitrate (NT-URAN);no-tillage + regular applications of URAN + denitrification inhibitor (NT-inhi- bitor);no-tillage + regular applications of URAN + biochar (NT-biochar);no-tillage + 20% applications of URAN + chicken litter (NT-litter);no-tillage + split applications of URAN (NT-split);and conventional tillage + regular applications of URAN as a control (CT-URAN). A randomized complete block design was used with six replications. The same amount of fertilizer equivalent to 217 kg·N·ha-1 was applied to all of the experimental plots. The results showed that improved fertilizer and soil management, except the NT-biochar treatment significantly increased soil CO2 flux as compared to the conventional tillage (CT-URAN, 487.05 mg CO2 m-2·h-1). Soil CO2 flux increased exponentially with soil temperature (T 2 flux tended to be positively related to corn yield and/or soil moisture. Soil CH4 flux increased linearly with soil moisture in all treatments. Improved fertilizer and soil management did not alter soil CH4 flux, but significantly affected its moisture sensitivity. Our results indicated that agricultural practices enhancing corn yield may also result in a net increase in carbon emissions from soil, hence reducing the potential of carbon sequestration in croplands.
基金supported by the Industry Foundation project from the Ministry of Knowledge Economy in the Korean Government.
文摘The first tier of automotive manufacturers has faced to pressures about move,modify,updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements,it has to require absolutely lead time to re-wiring of physical interface for production equipment,needs for change existing program and test over again.For prepare this constraints,it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M(Man,Machine,Material, Method)group management which is supports from WSN (Wireless Sensor Network)of the open embedded device called M2M(Machine to Machine)and major functions of middleware including point manager for real-time device communication,real-time data management,Standard API (Application Program Interface)and application template management.To be application system to RMS (Reconfigurable Manufacturing System)for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.
基金This work was supported by supported by National Social Science fund Major Projects(Grand 18ZDA088)National Social Science Foundation Project(Grand 18BGL242).
文摘The hospital medical crisis management is the strategy adopted by hospitals for medical crisis.It aims to minimize the loss brought about by medical crisis to the hospital through management.By using 4R theory of crisis management and taking the incident of"sky-high medical expenses"happened in Second Affiliated Hospital of Harbin Medical University as an example,we study how to improve and perfect the medical crisis management strategy of hospitals in our country.As a result,we think hospitals can improve the crisis management strategy from four aspects of curtailment,preparation,reaction and resilience,so as to solve this issue appropriately,protect the legitimate rights and interests of patients to the greatest extent and promote the sustainable development of the hospital.
文摘The first tier of automotive manufacturers has faced to pressures about move, modify, updating tasks for manufacturing resources in production processes from demand response of production order sequence for motor company and process innovation purpose for productivity. For meets this requirements, it has to require absolutely lead time to re-wiring of physical interface for production equipment, needs for change existing program and test over again. For prepare this constraints, it needs studying an auto-configuration functions that build for both visibility and flexibility based on the 4M (Man, Machine, Material, Method) group management which is supports from WSN (Wireless Sensor Network) of the open embedded device called M2M (Machine to Machine) and major functions of middleware including point manager for real-time device communication, real-time data management, Standard API (Application Program Interface) and application template management. To be application system to RMS (Reconfigurable Manufacturing System) for rapidly response from various orders and model from motor company that is beginning to establishing the mapping of manufacturing resources of 4M using WSN.
文摘Due to unusual climatic events,more and more strong typhoons(or hurricanes)appear,thus,governments have to formulate suitable crisis management for the visits of typhoons.Recently the visit of typhoon Hato has already caught public’s attention on the effectiveness of Macao SAR Government’s crisis management.The study bases on news coverage of typhoon Hato and the theoretical framework,derived from crisis stage theory and 4R model of crisis management,to review Macao’s crisis management.Expectedly,Macao SAR Government is requested to strengthen corresponding infrastructure and collaboration with neighboring cities in crisis warning system.Senior management accountability and urban renewal policy are also demanded by Macao residents.
基金funded by the Deanship of Scientific Research at Umm Al-Qura University,Makkah,Kingdom of Saudi Arabia.Under Grant Code:22UQU4281755DSR05.
文摘With the rapid growth in the availability of digital health-related data,there is a great demand for the utilization of intelligent information systems within the healthcare sector.These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks.They can also provide various sustainable health services such as medical error reduction,diagnosis acceleration,and clinical services quality improvement.The intensive care unit(ICU)is one of the most important hospital units.However,there are limited rooms and resources in most hospitals.During times of seasonal diseases and pandemics,ICUs face high admission demand.In line with this increasing number of admissions,determining health risk levels has become an essential and imperative task.It creates a heightened demand for the implementation of an expert decision support system,enabling doctors to accurately and swiftly determine the risk level of patients.Therefore,this study proposes a fuzzy logic inference system built on domain-specific knowledge graphs,as a proof-of-concept,for tackling this healthcare-related issue.The system employs a combination of two sets of fuzzy input parameters to classify health risk levels of new admissions to hospitals.The proposed system implemented utilizes MATLAB Fuzzy Logic Toolbox via several experiments showing the validity of the proposed system.
文摘The Fourth Industrial Revolution (4IR) is transforming the way we live, learn, work, and relate to one another. However, there is still an awareness inadequacy of the 4IR among project managers and the society in Tanzania, thus low readiness to conceptualize, implement and manage 4IR-related projects in the country. This study aimed to assess the 4IR readiness of project managers in Tanzania. The assessment is made in the frame of 4 readiness dimensions: strategy and governance structure, technology awareness, human capital digital skills development, and social-economic impact. The research used a quantitative method with the diffusion of innovations theory perspective, and data were collected mainly through an online survey questionnaire. The survey aimed at answering the research question concerning the project managers’ readiness for the 4IR. The 50 valid samples were completed by project managers from various industries such as agriculture, finance, consulting, construction, education and training, government, healthcare, Information Technology, and manufacturing. Data were analysed using SPSS. The results revealed that despite the generally low awareness of 4IR, several project managers in Tanzania have some varying awareness of 4IR technologies such as artificial intelligence, Internet of Things (IoT), data analytics, blockchain, robotics, cryptocurrency, chatbots, drones, and other digital transformation platforms. The results also indicated that project managers in Tanzania had little extent in readiness to initiate, develop and implement 4IR products and services due to inadequate 4IR-related awareness, strategy and governance structure, human capital digital skills development, and social economic impact. Consequently, some recommendations are made in the frame of the four assessed readiness dimensions for improvement. The value of this research is mainly to provide the state of 4IR readiness of project managers and associated recommendations to policymakers, practitioners, academia, donors, business industry and youth in digital innovation. The study also contributes to the body of knowledge on 4IR, project management and digital transformation.
文摘Advanced data mining methods have shown a promising capacity in building energy management.However,in the past decade,such methods are rarely applied in practice,since they highly rely on users to customize solutions according to the characteristics of target building energy systems.Hence,the major barrier is that the practical applications of such methods remain laborious.It is necessary to enable computers to have the human-like ability to solve data mining tasks.Generative pre-trained transformers(GPT)might be capable of addressing this issue,as some GPT models such as GPT-3.5 and GPT-4 have shown powerful abilities on interaction with humans,code generation,and inference with common sense and domain knowledge.This study explores the potential of the most advanced GPT model(GPT-4)in three data mining scenarios of building energy management,i.e.,energy load prediction,fault diagnosis,and anomaly detection.A performance evaluation framework is proposed to verify the capabilities of GPT-4 on generating energy load prediction codes,diagnosing device faults,and detecting abnormal system operation patterns.It is demonstrated that GPT-4 can automatically solve most of the data mining tasks in this domain,which overcomes the barrier of practical applications of data mining methods in this domain.In the exploration of GPT-4,its advantages and limitations are also discussed comprehensively for revealing future research directions in this domain.
