Objective:The objective of this study is to explore the mediating role of professional commitment of undergraduate nursing students between positive psychological capital(PsyCap)and learning burnout.Materials and Meth...Objective:The objective of this study is to explore the mediating role of professional commitment of undergraduate nursing students between positive psychological capital(PsyCap)and learning burnout.Materials and Methods:A cluster sampling method was used to survey 442 students of a bachelor’s degree in freshman to the junior in a medical college in Shaanxi Province.Results:Professional commitment was positively related to positive PsyCap(=0.487,P<0.01),while positive PsyCap and professional commitment were negatively related to learning burnout(r=−0.456,r=−0.411,P all<0.01).There are certain mediating effects of professional commitment in the relationship between positive PsyCap and learning burnout.The mediating effect value of professional commitment is−0.065,accounting for 16.08%of the total effect.Conclusion:Nursing educators in medical colleges and universities should focus on developing and training the positive PsyCap of undergraduate nursing students,thereby enhancing and stabilizing their professional commitment level and reducing the risk of learning burnout.展开更多
As weapon system effectiveness is affected by many factors,its evaluation is essentially a multi-criterion decision making problem for its complexity.The evaluation model of the effectiveness is established on the bas...As weapon system effectiveness is affected by many factors,its evaluation is essentially a multi-criterion decision making problem for its complexity.The evaluation model of the effectiveness is established on the basis of metrics architecture of the effectiveness.The Bayesian network,which is used to evaluate the effectiveness,is established based on the metrics architecture and the evaluation models.For getting the weights of the metrics by Bayesian network,subjective initial values of the weights are given,gradient ascent algorithm is adopted,and the reasonable values of the weights are achieved.And then the effectiveness of every weapon system project is gained.The weapon system,whose effectiveness is relative maximum,is the optimization system.The research result shows that this method can solve the problem of AHP method which evaluation results are not compatible to the practice results and overcome the shortcoming of neural network in multilayer and multi-criterion decision.The method offers a new approach for evaluating the effectiveness.展开更多
Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the app...Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.展开更多
基金the Shaanxi Provincial Administration of Traditional Chinese Medicine Fund(No.:2019‑ZZ‑ZC010).
文摘Objective:The objective of this study is to explore the mediating role of professional commitment of undergraduate nursing students between positive psychological capital(PsyCap)and learning burnout.Materials and Methods:A cluster sampling method was used to survey 442 students of a bachelor’s degree in freshman to the junior in a medical college in Shaanxi Province.Results:Professional commitment was positively related to positive PsyCap(=0.487,P<0.01),while positive PsyCap and professional commitment were negatively related to learning burnout(r=−0.456,r=−0.411,P all<0.01).There are certain mediating effects of professional commitment in the relationship between positive PsyCap and learning burnout.The mediating effect value of professional commitment is−0.065,accounting for 16.08%of the total effect.Conclusion:Nursing educators in medical colleges and universities should focus on developing and training the positive PsyCap of undergraduate nursing students,thereby enhancing and stabilizing their professional commitment level and reducing the risk of learning burnout.
文摘As weapon system effectiveness is affected by many factors,its evaluation is essentially a multi-criterion decision making problem for its complexity.The evaluation model of the effectiveness is established on the basis of metrics architecture of the effectiveness.The Bayesian network,which is used to evaluate the effectiveness,is established based on the metrics architecture and the evaluation models.For getting the weights of the metrics by Bayesian network,subjective initial values of the weights are given,gradient ascent algorithm is adopted,and the reasonable values of the weights are achieved.And then the effectiveness of every weapon system project is gained.The weapon system,whose effectiveness is relative maximum,is the optimization system.The research result shows that this method can solve the problem of AHP method which evaluation results are not compatible to the practice results and overcome the shortcoming of neural network in multilayer and multi-criterion decision.The method offers a new approach for evaluating the effectiveness.
文摘Project-based learning has been in widespread use in education. However, project managers are unaware of the students’ lack of experience and treat them as if they were professional staff. This paper proposes the application of a fuzzy failure mode and effects analysis model for project-based software engineering education. This method integrates the fuzzy rule-based system with learning agents. The agents construct the membership function from historical data. Data are processed by a clustering process that facilitates the construction of the membership function. It helps students who lack experience in risk assessment to develop their expertise in that skill. The paper also suggests a classification technique for a fuzzy rule-based system that can be used to judge risk based on a fuzzy inference system. The student project will thus be further enhanced with respect to risk assessment. We then discuss the design of experiments to verify the proposed model.
