[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis mod...[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis modeling,and the prediction model of set pair analysis was improved.A kind of rainfall prediction model based on the ordinal set pair analysis (OSPA) was put forward.The time sequence of annual rainfall in the hydrological rainfall station of Liao River basin during 1956-2006 was the research objective.The annual rainfall during 1998-2006 was predicted by the model,and the error analysis was given.[Result] In the relative errors of predicted results by ordinal set pair analysis,there were six relative errors within 5%,which occupied 66.7% of the total prediction number.One relative error was during 5%-10%,which occupied 11.1% of the total prediction number.Two relative errors were during 10%-15%,which occupied 22.2% of the total prediction number.All the relative errors were less than 20%,which met the precision requirement of annual rainfall prediction in Forecast Specification of Hydrological Information.[Conclusion] The rainfall prediction based on the ordinal set pair analysis model had high precision,and the prediction result was ideal.It was suitable for the annual rainfall prediction.展开更多
The issue as to whether hospital ownership has an impact on the quality of care has long been a serious concern. Hand hygiene（HH） compliance is regarded as an important indicator of the quality of care in the contro...The issue as to whether hospital ownership has an impact on the quality of care has long been a serious concern. Hand hygiene（HH） compliance is regarded as an important indicator of the quality of care in the control of hospital-acquired infections. However, little information is available on whether hospital ownership influences HH compliance. In this study, of 229 hospitals selected from Hubei province in China, 152 were public and 77 were private hospitals. A total of 23 652 healthcare workers（HCWs） were surveyed, using a convenience sampling. HH compliance, the WHO＇s ＂My Five Moments for hand hygiene＂（5 MHH）, among HCWs, together with the factors of hospital ownership, training frequency, bed occupancy rates, etc. were collected. Univariate analysis and ordinal logistic regression analysis were used to analyze factors affecting HH compliance. Overall, HH compliance rates were 67% and 79% for public and private hospitals, respectively. The HH compliance rates of HCWs and 5 MHH were between 55% and 95%, and influenced by hospital ownership（P〈0.05）, excluding compliance rate at the moment after body fluid exposure, and other influence factors included training frequency and bed occupancy rate（P〈0.05）. HH compliance is better in private than in public hospitals. Hospital ownership is a significant factor affecting HH compliance, in addition to training frequency and bed occupancy rate.展开更多
基金Supported by National Eleventh Five-year Water Special Item(2009ZX07208-010-T004)High-level Talent Introduction Plan Item, North China University of Water Resources and Electric Power(200926)+2 种基金Natural Science Research of Henan Education Department(2009A570002)Young Core Teacher Plan Item in Henan Province(2009GGJ3-061)Graduate Education Innovation Plan Foundation,North China University of Water Resources and Electric Power(YK2010-12)
文摘[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis modeling,and the prediction model of set pair analysis was improved.A kind of rainfall prediction model based on the ordinal set pair analysis (OSPA) was put forward.The time sequence of annual rainfall in the hydrological rainfall station of Liao River basin during 1956-2006 was the research objective.The annual rainfall during 1998-2006 was predicted by the model,and the error analysis was given.[Result] In the relative errors of predicted results by ordinal set pair analysis,there were six relative errors within 5%,which occupied 66.7% of the total prediction number.One relative error was during 5%-10%,which occupied 11.1% of the total prediction number.Two relative errors were during 10%-15%,which occupied 22.2% of the total prediction number.All the relative errors were less than 20%,which met the precision requirement of annual rainfall prediction in Forecast Specification of Hydrological Information.[Conclusion] The rainfall prediction based on the ordinal set pair analysis model had high precision,and the prediction result was ideal.It was suitable for the annual rainfall prediction.
基金supported by the National Natural Science Foundation of China(No.71473098)
文摘The issue as to whether hospital ownership has an impact on the quality of care has long been a serious concern. Hand hygiene（HH） compliance is regarded as an important indicator of the quality of care in the control of hospital-acquired infections. However, little information is available on whether hospital ownership influences HH compliance. In this study, of 229 hospitals selected from Hubei province in China, 152 were public and 77 were private hospitals. A total of 23 652 healthcare workers（HCWs） were surveyed, using a convenience sampling. HH compliance, the WHO＇s ＂My Five Moments for hand hygiene＂（5 MHH）, among HCWs, together with the factors of hospital ownership, training frequency, bed occupancy rates, etc. were collected. Univariate analysis and ordinal logistic regression analysis were used to analyze factors affecting HH compliance. Overall, HH compliance rates were 67% and 79% for public and private hospitals, respectively. The HH compliance rates of HCWs and 5 MHH were between 55% and 95%, and influenced by hospital ownership（P〈0.05）, excluding compliance rate at the moment after body fluid exposure, and other influence factors included training frequency and bed occupancy rate（P〈0.05）. HH compliance is better in private than in public hospitals. Hospital ownership is a significant factor affecting HH compliance, in addition to training frequency and bed occupancy rate.
