Prevention and control measures of spontaneous combustion of coal and gas accumulation in a goaf require an accurate description of its gas flow state.However,the commonly used fluid dynamics in porous media is not su...Prevention and control measures of spontaneous combustion of coal and gas accumulation in a goaf require an accurate description of its gas flow state.However,the commonly used fluid dynamics in porous media is not suitable for the new-born goaf with fracture cavity combination,multi-scale,and large blocks.In this study,we propose a cavity flow algorithm to accurately describe the gas flow state in the new-born goaf.The genetic algorithm(GA)is used to randomly generate the binary matrix of a goaf caving shape.The difference between the gas flow state calculated by the lattice Boltzmann method(LBM)and the measured data at the boundary or internal measuring points of the real goaf is taken as the GA fitness value,and the real goaf caving shape and the gas flow state are quickly addressed by GA.The experimental model of new-born goaf is established,and the laser Doppler anemometry(LDA)experiment is carried out.The results show that the Jaccard similarity coefficient between the reconstructed caving shape and the real caving shape is 0.7473,the mean square error between the calculated wind speed and the LDA-measured value is 0.0244,and the R2 coefficient is 0.8986,which verify the feasibility of the algorithm.展开更多
Background: Quality education is one of the important factors in empowering midwives to provide quality health care services to mothers and newborns irrespective of their practice settings. Due to lack of standardizat...Background: Quality education is one of the important factors in empowering midwives to provide quality health care services to mothers and newborns irrespective of their practice settings. Due to lack of standardization of the duration, content, and structure of midwifery education and different pathways to midwifery across the world, midwives may lack the confidence to deliver quality health care services in the main domain of the ICM competences. Aim: To assess the confidence of final year midwifery students in the domain of new-born care based on the ICM midwifery competencies. Methods: The first phase consisted of a quick situation analysis of midwifery education and regulation in Zambia, followed by a cross-sectional survey through a self-administered questionnaire to assess the confidence of final year midwifery students. Results: Most (51.9%) of the respondents were aged between 18 and 28 years, and majority of them were placed in Levels 1, 2 and 3 Hospitals and also clinics for their clinical practice, with between one hundred to ten thousand annual births, followed by 16.9% who were placed in Level 3 hospitals only. Most students (38.3%) reported receiving classroom instruction by both Lecture and Demonstration. Few students (22.7%) responded that they were not satisfied with their clinical supervision, while 77.3% were satisfied. There was significant association between confidence to perform skills independently and having enough time to practice on models in the labs (p value = 0.024), confidence when practiced for the first time on mothers (p value = 0.007) and satisfaction with supervision during clinical practice (p value = 0.000). Binary logistic regression of characteristics associated with confidence to perform new-born skills independently revealed significant association between satisfaction with clinical supervision and confidence to perform skills independently, 95% CI [1.83, 15.37]. Conclusion: Midwifery students need quality training both theoretically and practically in order for them to gain confidence in newborn care upon completion of their training. They need adequate time to practice on models in the skills laboratory, and need adequate clinical supervision for them to gain confidence in performing new born skills independently.展开更多
WITH 38 years of history, the Beijing Maternity Hospital gained fame as the birthplace of one-fifth of all Beijingers in the 1960s. Today, some 5,000 babies are born here each year. As Beijing’s oldest hospital speci...WITH 38 years of history, the Beijing Maternity Hospital gained fame as the birthplace of one-fifth of all Beijingers in the 1960s. Today, some 5,000 babies are born here each year. As Beijing’s oldest hospital specializing in gynaecology and obstetrics treatment and research, the Beijing Maternity Hospital ranks top among all maternity hospitals in China. Chen Wenshan. 52. oversees 272 nurses working at BMH. A vigorous and extremely strict woman. Chen is both respected and feared by the nurses on her staff. As the director of the展开更多
基金This work was supported by the Natural Science Foundation of China(Nos.51774169 and 51574142)the National Key Research and Development Program of China(No.2017YFC0804401).
文摘Prevention and control measures of spontaneous combustion of coal and gas accumulation in a goaf require an accurate description of its gas flow state.However,the commonly used fluid dynamics in porous media is not suitable for the new-born goaf with fracture cavity combination,multi-scale,and large blocks.In this study,we propose a cavity flow algorithm to accurately describe the gas flow state in the new-born goaf.The genetic algorithm(GA)is used to randomly generate the binary matrix of a goaf caving shape.The difference between the gas flow state calculated by the lattice Boltzmann method(LBM)and the measured data at the boundary or internal measuring points of the real goaf is taken as the GA fitness value,and the real goaf caving shape and the gas flow state are quickly addressed by GA.The experimental model of new-born goaf is established,and the laser Doppler anemometry(LDA)experiment is carried out.The results show that the Jaccard similarity coefficient between the reconstructed caving shape and the real caving shape is 0.7473,the mean square error between the calculated wind speed and the LDA-measured value is 0.0244,and the R2 coefficient is 0.8986,which verify the feasibility of the algorithm.
文摘Background: Quality education is one of the important factors in empowering midwives to provide quality health care services to mothers and newborns irrespective of their practice settings. Due to lack of standardization of the duration, content, and structure of midwifery education and different pathways to midwifery across the world, midwives may lack the confidence to deliver quality health care services in the main domain of the ICM competences. Aim: To assess the confidence of final year midwifery students in the domain of new-born care based on the ICM midwifery competencies. Methods: The first phase consisted of a quick situation analysis of midwifery education and regulation in Zambia, followed by a cross-sectional survey through a self-administered questionnaire to assess the confidence of final year midwifery students. Results: Most (51.9%) of the respondents were aged between 18 and 28 years, and majority of them were placed in Levels 1, 2 and 3 Hospitals and also clinics for their clinical practice, with between one hundred to ten thousand annual births, followed by 16.9% who were placed in Level 3 hospitals only. Most students (38.3%) reported receiving classroom instruction by both Lecture and Demonstration. Few students (22.7%) responded that they were not satisfied with their clinical supervision, while 77.3% were satisfied. There was significant association between confidence to perform skills independently and having enough time to practice on models in the labs (p value = 0.024), confidence when practiced for the first time on mothers (p value = 0.007) and satisfaction with supervision during clinical practice (p value = 0.000). Binary logistic regression of characteristics associated with confidence to perform new-born skills independently revealed significant association between satisfaction with clinical supervision and confidence to perform skills independently, 95% CI [1.83, 15.37]. Conclusion: Midwifery students need quality training both theoretically and practically in order for them to gain confidence in newborn care upon completion of their training. They need adequate time to practice on models in the skills laboratory, and need adequate clinical supervision for them to gain confidence in performing new born skills independently.
文摘WITH 38 years of history, the Beijing Maternity Hospital gained fame as the birthplace of one-fifth of all Beijingers in the 1960s. Today, some 5,000 babies are born here each year. As Beijing’s oldest hospital specializing in gynaecology and obstetrics treatment and research, the Beijing Maternity Hospital ranks top among all maternity hospitals in China. Chen Wenshan. 52. oversees 272 nurses working at BMH. A vigorous and extremely strict woman. Chen is both respected and feared by the nurses on her staff. As the director of the
