Objective:This study examined the relationship between structural empowerment and nurses’experience and attitudes toward computer use.Methods:This study was conducted using a cross-sectional quantitative design.A tot...Objective:This study examined the relationship between structural empowerment and nurses’experience and attitudes toward computer use.Methods:This study was conducted using a cross-sectional quantitative design.A total of 184 registered nurses from four hospitals in Jordan participated in the current study.Data were collected using a demographics questionnaire,the Conditions for Work Effectiveness Questionnaire-II(CWEQ-II),and the Pretest for Attitudes toward Computers in Healthcare(PATCH).Results:The median of experience in years among nurses was 5.0,ranging from one to 26 years.The mean score for the attitudes toward computer use was 61.90±11.38.Almost half of the participants,45.11%,were in the category of“feel comfortable using user-friendly computers.”The participants’mean average of the total structural empowerment was 12.40±2.43,and the values for its four subscales were:opportunity 3.57±0.87,resources 2.83±0.85,information 3.06±0.79,and support 2.95±0.86.The frequencies analysis revealed that most participants had a moderate level of empowerment(n¼127,69.02%).The bivariate correlation between nurses’experience and attitudes toward computer use was significant(r¼0.17,P<0.05).The relationship between the total structural empowerment score and attitudes toward computer use was positive but weak(r¼0.20,P<0.01).Conclusion:The results indicated that more experienced nurses are more reluctant toward computer use.However,creating an empowering work environment can facilitate nurses’attitudes toward computer use.展开更多
When hitting underground structures directly or exploding in rock-soil media near underground structures, the conventional weapons with large charge weight will make underground structures be subjected to strong shock...When hitting underground structures directly or exploding in rock-soil media near underground structures, the conventional weapons with large charge weight will make underground structures be subjected to strong shock vibration and cause personal casualty and damage of precision electronic equipments. The shock vibration has become one of the cardinal killing means of weapons. However, the existing methods of predicting structure shock vibration are limited evidently. In this paper the coupling coefficient of acceleration in clayey soil is obtained firstly. Subsequently based on repeated experiments of chemical explosion, after dimension analysis and by using method of multivariate stepwise regression, the calculation formulae of shock vibration acceleration for the underground structure are obtained finally. The formulae consider top and side explosion respectively, taking into account the effects of penetration depth, charge weight, distance to explosion center, rock-soil media, size of structure and buried depth. They are easy to use with high practicability and degree of confidence, and can provide credible evidence for prediction of shock vibration and vibration isolating design of underground structure.展开更多
To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model....To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model. Special rules for network training are developed. Such system is close to model-based predictive control, but needs much less computational resources. The approach advantages are shown by the control of laboratory complex plants.展开更多
文摘Objective:This study examined the relationship between structural empowerment and nurses’experience and attitudes toward computer use.Methods:This study was conducted using a cross-sectional quantitative design.A total of 184 registered nurses from four hospitals in Jordan participated in the current study.Data were collected using a demographics questionnaire,the Conditions for Work Effectiveness Questionnaire-II(CWEQ-II),and the Pretest for Attitudes toward Computers in Healthcare(PATCH).Results:The median of experience in years among nurses was 5.0,ranging from one to 26 years.The mean score for the attitudes toward computer use was 61.90±11.38.Almost half of the participants,45.11%,were in the category of“feel comfortable using user-friendly computers.”The participants’mean average of the total structural empowerment was 12.40±2.43,and the values for its four subscales were:opportunity 3.57±0.87,resources 2.83±0.85,information 3.06±0.79,and support 2.95±0.86.The frequencies analysis revealed that most participants had a moderate level of empowerment(n¼127,69.02%).The bivariate correlation between nurses’experience and attitudes toward computer use was significant(r¼0.17,P<0.05).The relationship between the total structural empowerment score and attitudes toward computer use was positive but weak(r¼0.20,P<0.01).Conclusion:The results indicated that more experienced nurses are more reluctant toward computer use.However,creating an empowering work environment can facilitate nurses’attitudes toward computer use.
文摘When hitting underground structures directly or exploding in rock-soil media near underground structures, the conventional weapons with large charge weight will make underground structures be subjected to strong shock vibration and cause personal casualty and damage of precision electronic equipments. The shock vibration has become one of the cardinal killing means of weapons. However, the existing methods of predicting structure shock vibration are limited evidently. In this paper the coupling coefficient of acceleration in clayey soil is obtained firstly. Subsequently based on repeated experiments of chemical explosion, after dimension analysis and by using method of multivariate stepwise regression, the calculation formulae of shock vibration acceleration for the underground structure are obtained finally. The formulae consider top and side explosion respectively, taking into account the effects of penetration depth, charge weight, distance to explosion center, rock-soil media, size of structure and buried depth. They are easy to use with high practicability and degree of confidence, and can provide credible evidence for prediction of shock vibration and vibration isolating design of underground structure.
文摘To increase predictive behaviors of neural network dynamic model, an experimental case study of a new approach to systems controller design is presented. The experiment is based on neural networks inverse plant model. Special rules for network training are developed. Such system is close to model-based predictive control, but needs much less computational resources. The approach advantages are shown by the control of laboratory complex plants.
