Objective： The associations between social support and burnout were explored in ICU nurses of Shanghai. Methods： We performed a cross-sectional study of 356 ICU nurses by applying random cluster sampling. Data were ...Objective： The associations between social support and burnout were explored in ICU nurses of Shanghai. Methods： We performed a cross-sectional study of 356 ICU nurses by applying random cluster sampling. Data were collected using self-reported questionnaires under the instruction of trained investigators. Data on emotional exhaustion, depersonalisation and feelings of low personal accomplishment etc. were collected, calculated and analyzed. Results： The participants had a mean age of 26.96 years （SD 4.07）. The mean value （M） and stand- ard deviation （SD） of emotional exhaustion was M=31.85, SD=8.38, those of depersonalisation was M= 11.69, SD= 5.54 and those of feelings of low personal accomplishment was M= 19. 79, SD = 7.02. The high degree of emotional exhaustion （EE）, depersonalisation （DP）, and lack of personal accomplishment （PA） were revealed to be 76.4%, 39.6%, and 94.9%, respectively. The major influencing factors of emotional exhaustion included support from co-workers（b=0. 343, t = 1.98, P=0. 049）, taking leave（b=-1. 182, t=-3. 747, P=0. 001）, requisition of work（b=-l. 41, t=-2. 369, P=0. 018）, and supervisor support（b=-0. 524, t=-3. 926, P=0. 001）. The major influencing factors of depersonalisation were support from the supervisor（b=-0. 333, t=-4. 146, P=0.001）, age（b=-0. 89, t=-2. 272, P= 0. 024） and requisition of work（b=-0. 148, t=-2. 124, P=0. 034）. There was a positive co-relationship between personal accomplishment and supervisor support. Conclusions： Supervisor support, age, and requisition of work were the major influencing factors of depersonalisation. In addition, supervisor support plays an important role in low personal accomplishment. Further research should focus on supervisor support, co-worker support, time on leave, and requisition of work associated with emotional exhaustion.展开更多
This paper presents a distributed operating system modeled as an abstract machine that provides all the distributed processes with the same set of services.The kernel of our operating system supports ser- vices which ...This paper presents a distributed operating system modeled as an abstract machine that provides all the distributed processes with the same set of services.The kernel of our operating system supports ser- vices which are achieved by a remote procedure call on requests by parallel processes.Therefore,a scheme for solving the client-server relationship is required.In our system there are more than one cli- ents and,at least,a receive would he required for each.Similarly,there are more than one servers such that the send in a client should produce a message that can he received by every server. Consequently,a mechanism well suited for programming multiple-clients/single-server and sin- gle client/multiple-servers interactions is proposed.展开更多
In this work, two chemometrics methods are applied for the modeling and prediction of electrophoretic mobilities of some organic and inorganic compounds. The successive projection algorithm, feature selection （SPA） ...In this work, two chemometrics methods are applied for the modeling and prediction of electrophoretic mobilities of some organic and inorganic compounds. The successive projection algorithm, feature selection （SPA） strategy, is used as the descriptor selection and model development method. Then, the support vector machine （SVM） and multiple linear regression （MLR） model are utilized to construct the non-linear and linear quantitative structure-property relationship models. The results obtained using the SVM model are compared with those obtained using MLR reveal that the SVM model is of much better predictive value than the MLR one. The root-mean-square errors for the training set and the test set for the SVM model were 0.1911 and 0.2569, respectively, while by the MLR model, they were 0.4908 and 0.6494, respectively. The results show that the SVM model drastically enhances the ability of prediction in QSPR studies and is superior to the MLR model.展开更多
文摘Objective： The associations between social support and burnout were explored in ICU nurses of Shanghai. Methods： We performed a cross-sectional study of 356 ICU nurses by applying random cluster sampling. Data were collected using self-reported questionnaires under the instruction of trained investigators. Data on emotional exhaustion, depersonalisation and feelings of low personal accomplishment etc. were collected, calculated and analyzed. Results： The participants had a mean age of 26.96 years （SD 4.07）. The mean value （M） and stand- ard deviation （SD） of emotional exhaustion was M=31.85, SD=8.38, those of depersonalisation was M= 11.69, SD= 5.54 and those of feelings of low personal accomplishment was M= 19. 79, SD = 7.02. The high degree of emotional exhaustion （EE）, depersonalisation （DP）, and lack of personal accomplishment （PA） were revealed to be 76.4%, 39.6%, and 94.9%, respectively. The major influencing factors of emotional exhaustion included support from co-workers（b=0. 343, t = 1.98, P=0. 049）, taking leave（b=-1. 182, t=-3. 747, P=0. 001）, requisition of work（b=-l. 41, t=-2. 369, P=0. 018）, and supervisor support（b=-0. 524, t=-3. 926, P=0. 001）. The major influencing factors of depersonalisation were support from the supervisor（b=-0. 333, t=-4. 146, P=0.001）, age（b=-0. 89, t=-2. 272, P= 0. 024） and requisition of work（b=-0. 148, t=-2. 124, P=0. 034）. There was a positive co-relationship between personal accomplishment and supervisor support. Conclusions： Supervisor support, age, and requisition of work were the major influencing factors of depersonalisation. In addition, supervisor support plays an important role in low personal accomplishment. Further research should focus on supervisor support, co-worker support, time on leave, and requisition of work associated with emotional exhaustion.
基金The project supported by National Natural Science Foundation of China.
文摘This paper presents a distributed operating system modeled as an abstract machine that provides all the distributed processes with the same set of services.The kernel of our operating system supports ser- vices which are achieved by a remote procedure call on requests by parallel processes.Therefore,a scheme for solving the client-server relationship is required.In our system there are more than one cli- ents and,at least,a receive would he required for each.Similarly,there are more than one servers such that the send in a client should produce a message that can he received by every server. Consequently,a mechanism well suited for programming multiple-clients/single-server and sin- gle client/multiple-servers interactions is proposed.
文摘In this work, two chemometrics methods are applied for the modeling and prediction of electrophoretic mobilities of some organic and inorganic compounds. The successive projection algorithm, feature selection （SPA） strategy, is used as the descriptor selection and model development method. Then, the support vector machine （SVM） and multiple linear regression （MLR） model are utilized to construct the non-linear and linear quantitative structure-property relationship models. The results obtained using the SVM model are compared with those obtained using MLR reveal that the SVM model is of much better predictive value than the MLR one. The root-mean-square errors for the training set and the test set for the SVM model were 0.1911 and 0.2569, respectively, while by the MLR model, they were 0.4908 and 0.6494, respectively. The results show that the SVM model drastically enhances the ability of prediction in QSPR studies and is superior to the MLR model.
