目的了解实施基于岗位和工作量的绩效模式对重症监护室(intensive care unit,ICU)护士工作满意度的影响。方法将实施基于岗位和工作量的绩效模式后的2015年4-9月全院护士、ICU护士的平均薪酬、工作满意度情况与2014年4-9月的情况进行比...目的了解实施基于岗位和工作量的绩效模式对重症监护室(intensive care unit,ICU)护士工作满意度的影响。方法将实施基于岗位和工作量的绩效模式后的2015年4-9月全院护士、ICU护士的平均薪酬、工作满意度情况与2014年4-9月的情况进行比较。结果 2015年4-9月全院护士的平均绩效较2014年4-9月增长2.34%,两组比较差异无统计学意义(P>0.05);但同期ICU护士的平均绩效增长14.27%,差异有统计学意义(P<0.01);同时,ICU护士在总体工作满意度和对管理模式、工作强度和压力、职业认可和工作待遇方面的满意度均有提高(P<0.05或P<0.01);在工作氛围影响上差异无统计学意义(P>0.05)。结论实施基于岗位和工作量的护理绩效分配模式后,ICU的护士工作满意度有了显著提高。展开更多
In order to improve the incipient fault sensitivity and stability of degradation index in the rolling bearing performance degradation evaluation process,an embedding selection-based neighborhood preserving embedding(E...In order to improve the incipient fault sensitivity and stability of degradation index in the rolling bearing performance degradation evaluation process,an embedding selection-based neighborhood preserving embedding(ESNPE)method is proposed.Firstly,the acquired vibration signals are decomposed by variational mode decomposition(VMD),and the singular value and relative energy of each intrinsic mode function(IMF)are extracted to form a high-dimensional feature set.Then,the NPE manifold learning method is used to extract the embedded features in the feature space.Considering the problem that useful embedding information is easily suppressed in NPE,an embedding selection strategy is built based on the Spearman correlation coefficient.The effectiveness of embeddings is measured by the coefficient absolute value,and useful embeddings are preserved in the early stage of bearing degradation by using the first-order difference method.Finally,the degradation index is established using the support vector data description(SVDD)model and bearing performance degradation evaluation is achieved.The proposed method was tested with the whole life experiment data of a rolling bearing,and the result was compared with the feature extraction methods of traditional principal component analysis(PCA)and NPE.The results show that the proposed method is superior in improving the incipient fault sensitivity and stability of the degradation index.展开更多
文摘目的了解实施基于岗位和工作量的绩效模式对重症监护室(intensive care unit,ICU)护士工作满意度的影响。方法将实施基于岗位和工作量的绩效模式后的2015年4-9月全院护士、ICU护士的平均薪酬、工作满意度情况与2014年4-9月的情况进行比较。结果 2015年4-9月全院护士的平均绩效较2014年4-9月增长2.34%,两组比较差异无统计学意义(P>0.05);但同期ICU护士的平均绩效增长14.27%,差异有统计学意义(P<0.01);同时,ICU护士在总体工作满意度和对管理模式、工作强度和压力、职业认可和工作待遇方面的满意度均有提高(P<0.05或P<0.01);在工作氛围影响上差异无统计学意义(P>0.05)。结论实施基于岗位和工作量的护理绩效分配模式后,ICU的护士工作满意度有了显著提高。
基金The National Natural Science Foundation of Chin(No.51975117)
文摘In order to improve the incipient fault sensitivity and stability of degradation index in the rolling bearing performance degradation evaluation process,an embedding selection-based neighborhood preserving embedding(ESNPE)method is proposed.Firstly,the acquired vibration signals are decomposed by variational mode decomposition(VMD),and the singular value and relative energy of each intrinsic mode function(IMF)are extracted to form a high-dimensional feature set.Then,the NPE manifold learning method is used to extract the embedded features in the feature space.Considering the problem that useful embedding information is easily suppressed in NPE,an embedding selection strategy is built based on the Spearman correlation coefficient.The effectiveness of embeddings is measured by the coefficient absolute value,and useful embeddings are preserved in the early stage of bearing degradation by using the first-order difference method.Finally,the degradation index is established using the support vector data description(SVDD)model and bearing performance degradation evaluation is achieved.The proposed method was tested with the whole life experiment data of a rolling bearing,and the result was compared with the feature extraction methods of traditional principal component analysis(PCA)and NPE.The results show that the proposed method is superior in improving the incipient fault sensitivity and stability of the degradation index.
