Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the con...Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the conducted researchs, emotional intelligence is an important factor in achieving success in life including occupation and education. This study was designed and implemented to determine the effects of emotional intelligence on the quality of nurses＇ working life. This quasi-experimental study was conducted in 2015 on 70 of hospital nurses. Samples were randomly collected and divided into 2 groups （35 nurses in each group） and training sessions of emotional intelligence were conducted. Before the first session and after session 12, the quality of working life was measured by Walton＇s standard questionnaire of working life in both groups. The average age of the control and the experimental group was 30.83 ± 3.785 and 29.54 ± 3.407 respectively. Quality of working life in the experimental group had significant positive changes in comparison with the control group （P 〈 0.001） after the completion of training sessions. Based on the results, nurses＇ quality of working life improved after training. It seems that it is possible to improve university students and nurses＂ quality of working life by holding special workshops of emotional intelligence in training centers.展开更多
The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control...The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.展开更多
Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a C...Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.展开更多
This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the abi...This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the ability for an information processing system to adapt to its environment with insuffcient knowledge and resources". Applying the definition to a reasoning system, we get the major components of Non-Axiomatic Reasoning System (NARS) , which is a symbolic logic implemented in a computer system, and has many interesting ...展开更多
Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for ex...Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for executing scientific workflow applications.Since the cloud is not a utopian environment,failures are inevitable that may result in experiencingfluctuations in the delivered performance.Though a single task failure occurs in workflow based applications,due to its task dependency nature,the reliability of the overall system will be affected drastically.Hence rather than reactive fault-tolerant approaches,proactive measures are vital in scientific workflows.This work puts forth an attempt to con-centrate on the exploration issue of structuring a nature inspired metaheuristics-Intelligent Water Drops Algorithm(IWDA)combined with an efficient machine learning approach-Support Vector Regression(SVR)for task failure prognostica-tion which facilitates proactive fault-tolerance in the scheduling of scientific workflow applications.The failure prediction models in this study have been implemented through SVR-based machine learning approaches and the precision accuracy of prediction is optimized by IWDA and several performance metrics were evaluated on various benchmark workflows.The experimental results prove that the proposed proactive fault-tolerant approach performs better compared with the other existing techniques.展开更多
Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but...Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life.展开更多
Important tasks involving four major topics will be allocated priority in China’s science and technology (S&T) development during the 10th Five-Year Plan Period (2001-2005), according to Zhu Lilan, minister of Sc...Important tasks involving four major topics will be allocated priority in China’s science and technology (S&T) development during the 10th Five-Year Plan Period (2001-2005), according to Zhu Lilan, minister of Science and Technology. These include: strengthening technological innovation to provide strong momentum展开更多
The 1990s is a key historical decade in the process of China’s on-going modernization drive.When reviewing the overall picture of the socio-economic trend and S&T development around the world during the last two ...The 1990s is a key historical decade in the process of China’s on-going modernization drive.When reviewing the overall picture of the socio-economic trend and S&T development around the world during the last two decades,we may reach the conclusion that a new technological revolution is taking shape.For both the developed and the developing countries,challenges and opportunities are close at hand.In the Decision to Speed up China’s S&T Progress Jointly Issued by the CPC Central Committee and the State Council.a developmen-展开更多
Mismatch negativity is generated automatically, and is an early monitoring indicator of neuronal integrity impairment and functional abnormality in patients with brain injury, leading to decline of cognitive function....Mismatch negativity is generated automatically, and is an early monitoring indicator of neuronal integrity impairment and functional abnormality in patients with brain injury, leading to decline of cognitive function. Antipsychotic medication cannot affect mismatch negativity. The present study aimed to explore the relationships of mismatch negativity with neurocognition, daily life and social functional outcomes in patients after brain injury. Twelve patients with traumatic brain injury and 12 healthy controls were recruited in this study. We examined neurocogni-tion with the Wechsler Adult Intelligence Scale-Revised China, and daily and social functional outcomes with the Activity of Daily Living Scale and Social Disability Screening Schedule, re-spectively. Mismatch negativity was analyzed from electroencephalogram recording. The results showed that mismatch negativity amplitudes decreased in patients with traumatic brain injury compared with healthy controls. Mismatch negativity amplitude was negatively correlated with measurements of neurocognition and positively correlated with functional outcomes in patients after traumatic brain injury. Further, the most signiifcant positive correlations were found be-tween mismatch negativity in the fronto-central region and measures of functional outcomes. The most signiifcant positive correlations were also found between mismatch negativity at the FCz electrode and daily living function. Mismatch negativity amplitudes were extremely positive-ly associated with Social Disability Screening Schedule scores at the Fz electrode in brain injury patients. These experimental ifndings suggest that mismatch negativity might efifciently relfect functional outcomes in patients after traumatic brain injury.展开更多
The nonferrous metallurgical(NFM)industry is a cornerstone industry for a nation’s economy.With the development of artificial technologies and high requirements on environment protection,product quality,and productio...The nonferrous metallurgical(NFM)industry is a cornerstone industry for a nation’s economy.With the development of artificial technologies and high requirements on environment protection,product quality,and production efficiency,the importance of applying smart manufacturing technologies to comprehensively percept production states and intelligently optimize process operations is becoming widely recognized by the industry.As a brief summary of the smart and optimal manufacturing of the NFM industry,this paper first reviews the research progress on some key facets of the operational optimization of NFM processes,including production and management,blending optimization,modeling,process monitoring,optimization,and control.Then,it illustrates the perspectives of smart and optimal manufacturing of the NFM industry.Finally,it discusses the major research directions and challenges of smart and optimal manufacturing for the NFM industry.This paper will lay a foundation for the realization of smart and optimal manufacturing in nonferrous metallurgy in the future.展开更多
文摘Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the conducted researchs, emotional intelligence is an important factor in achieving success in life including occupation and education. This study was designed and implemented to determine the effects of emotional intelligence on the quality of nurses＇ working life. This quasi-experimental study was conducted in 2015 on 70 of hospital nurses. Samples were randomly collected and divided into 2 groups （35 nurses in each group） and training sessions of emotional intelligence were conducted. Before the first session and after session 12, the quality of working life was measured by Walton＇s standard questionnaire of working life in both groups. The average age of the control and the experimental group was 30.83 ± 3.785 and 29.54 ± 3.407 respectively. Quality of working life in the experimental group had significant positive changes in comparison with the control group （P 〈 0.001） after the completion of training sessions. Based on the results, nurses＇ quality of working life improved after training. It seems that it is possible to improve university students and nurses＂ quality of working life by holding special workshops of emotional intelligence in training centers.
文摘The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.
基金support of the studies is from the National Major Scientific and Technological Special Project for "Development and comprehensive verification of complete products of open high-end CNC system, servo device and motor" (2012ZX04001012)
文摘Building cyber-physical system(CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control(CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control(NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.
文摘This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the ability for an information processing system to adapt to its environment with insuffcient knowledge and resources". Applying the definition to a reasoning system, we get the major components of Non-Axiomatic Reasoning System (NARS) , which is a symbolic logic implemented in a computer system, and has many interesting ...
文摘Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for executing scientific workflow applications.Since the cloud is not a utopian environment,failures are inevitable that may result in experiencingfluctuations in the delivered performance.Though a single task failure occurs in workflow based applications,due to its task dependency nature,the reliability of the overall system will be affected drastically.Hence rather than reactive fault-tolerant approaches,proactive measures are vital in scientific workflows.This work puts forth an attempt to con-centrate on the exploration issue of structuring a nature inspired metaheuristics-Intelligent Water Drops Algorithm(IWDA)combined with an efficient machine learning approach-Support Vector Regression(SVR)for task failure prognostica-tion which facilitates proactive fault-tolerance in the scheduling of scientific workflow applications.The failure prediction models in this study have been implemented through SVR-based machine learning approaches and the precision accuracy of prediction is optimized by IWDA and several performance metrics were evaluated on various benchmark workflows.The experimental results prove that the proposed proactive fault-tolerant approach performs better compared with the other existing techniques.
文摘Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life.
文摘Important tasks involving four major topics will be allocated priority in China’s science and technology (S&T) development during the 10th Five-Year Plan Period (2001-2005), according to Zhu Lilan, minister of Science and Technology. These include: strengthening technological innovation to provide strong momentum
文摘The 1990s is a key historical decade in the process of China’s on-going modernization drive.When reviewing the overall picture of the socio-economic trend and S&T development around the world during the last two decades,we may reach the conclusion that a new technological revolution is taking shape.For both the developed and the developing countries,challenges and opportunities are close at hand.In the Decision to Speed up China’s S&T Progress Jointly Issued by the CPC Central Committee and the State Council.a developmen-
基金supported by grants from the National Natural Science Foundation of China,No.81172911,81373251the National High Technology Research and Development Program of China(863 Program),No.2015AA020503+1 种基金the Science and Technology Development Project of Suzhou of China,No.SZP201304Priority Academic Program Development of Jiangsu Higher Education Institutes of China
文摘Mismatch negativity is generated automatically, and is an early monitoring indicator of neuronal integrity impairment and functional abnormality in patients with brain injury, leading to decline of cognitive function. Antipsychotic medication cannot affect mismatch negativity. The present study aimed to explore the relationships of mismatch negativity with neurocognition, daily life and social functional outcomes in patients after brain injury. Twelve patients with traumatic brain injury and 12 healthy controls were recruited in this study. We examined neurocogni-tion with the Wechsler Adult Intelligence Scale-Revised China, and daily and social functional outcomes with the Activity of Daily Living Scale and Social Disability Screening Schedule, re-spectively. Mismatch negativity was analyzed from electroencephalogram recording. The results showed that mismatch negativity amplitudes decreased in patients with traumatic brain injury compared with healthy controls. Mismatch negativity amplitude was negatively correlated with measurements of neurocognition and positively correlated with functional outcomes in patients after traumatic brain injury. Further, the most signiifcant positive correlations were found be-tween mismatch negativity in the fronto-central region and measures of functional outcomes. The most signiifcant positive correlations were also found between mismatch negativity at the FCz electrode and daily living function. Mismatch negativity amplitudes were extremely positive-ly associated with Social Disability Screening Schedule scores at the Fz electrode in brain injury patients. These experimental ifndings suggest that mismatch negativity might efifciently relfect functional outcomes in patients after traumatic brain injury.
基金financially supported by the Funds for International Cooperation and Exchange of the National Natural Science Foundation of China(No.61860206014)the Basic Science Research Center Program of National Natural Science Foundation of China(No.61988101)+2 种基金National Key Research and Development Program(No.2020YFB1713700)National Natural Science Foundation of China(Nos.61973321 and 62073342)Science and Technology Innovation Program of Hunan Province(No.2021RC4054).
文摘The nonferrous metallurgical(NFM)industry is a cornerstone industry for a nation’s economy.With the development of artificial technologies and high requirements on environment protection,product quality,and production efficiency,the importance of applying smart manufacturing technologies to comprehensively percept production states and intelligently optimize process operations is becoming widely recognized by the industry.As a brief summary of the smart and optimal manufacturing of the NFM industry,this paper first reviews the research progress on some key facets of the operational optimization of NFM processes,including production and management,blending optimization,modeling,process monitoring,optimization,and control.Then,it illustrates the perspectives of smart and optimal manufacturing of the NFM industry.Finally,it discusses the major research directions and challenges of smart and optimal manufacturing for the NFM industry.This paper will lay a foundation for the realization of smart and optimal manufacturing in nonferrous metallurgy in the future.
