Background: To explore the relationship between acute stress, social support and sleep disorder in grass-root military personnel, and construct the relational model through structural equation modeling. Methods: A tot...Background: To explore the relationship between acute stress, social support and sleep disorder in grass-root military personnel, and construct the relational model through structural equation modeling. Methods: A total of 2,411 grass-root military personnel were randomly selected by cluster sampling, and administered the Chinese Military Personnel Sleep Disorder Scale, Military Acute Stress Scale and Social Support Rating Scale.Results: The total score of acute stress scale was positively correlated with the total score and factor scores of sleep disorder scale(r=0.209~0.465, P【0.01); The total score of social support scale was positively correlated with the total score of acute stress scale and the total score and factor scores of sleep disorder scale(r=0.356~0.537, P【0.01). The analysis of mediating effects showed that lack of social support partially mediated between acute stress and the factors of sleep disorder. The analysis of structural equation model showed that acute stress not only had a direct effect on sleep disorder(the path coefficient was 0.29, P=0.000), but also on lack of social support(the path coefficient was 0.39, P=0.000); lack of social support had a direct effect on sleep disorder(the path coefficient was 0.48, P=0.000).Conclusions: Acute stress and lack of social support are two significant factors of sleep disorder in grass-root military personnel. Well-established social support could alleviate sleep disorder induced by acute stress. Lack of social support was a partial mediator between acute stress and sleep disorder.展开更多
Network engineering is an emerging major across many disciplines,so there is yet to be an established personnel training program for this field.Moreover,there is a lack of reference material concerning personnel train...Network engineering is an emerging major across many disciplines,so there is yet to be an established personnel training program for this field.Moreover,there is a lack of reference material concerning personnel training.Therefore,it is especially urgent to explore a model suitable for personnel training in network engineering and study relevant personnel training systems.In this paper,the present situation of network engineering personnel training in China is analyzed,and basic orientation and training targets of network engineering major are explored.We find that network engineering personnel training is based on three main combinations:theory and practice,learning and innovation under the social computing environment,and classroom and employment experience,thereby providing constructive experience for training high-quality personnel specializing in network engineering.展开更多
为保证客舱安全,及时识别出旅客的异常行为,基于眼动仪,模拟客舱旅客异常行为,构建试验系统。选取参加过工作实习的空中保卫专业的学生作为被试,获取被试的视觉特征数据。基于多重分形消除趋势波动分析法(Multifractal Detrended Fluctu...为保证客舱安全,及时识别出旅客的异常行为,基于眼动仪,模拟客舱旅客异常行为,构建试验系统。选取参加过工作实习的空中保卫专业的学生作为被试,获取被试的视觉特征数据。基于多重分形消除趋势波动分析法(Multifractal Detrended Fluctuation Analysis of nonstationary time series,MF-DFA),分析航空安全员的视觉搜索特征。结果表明:航空安全员的注视持续时间和扫视幅度与其识别异常行为的能力存在显著的正相关关系;具有高识别能力的航空安全员的注视持续时间和扫视幅度奇异谱宽度均大于低识别能力的航空安全员的奇异谱宽度,具有较强的抗外界干扰能力。将MF-DFA算法引入航空安全员的视觉搜索特征分析,为航空安全员的培训和选拔等提供参考。展开更多
基金supported by the special fund of applied military mental health project of the China, the Prevention and Treatment Centre for Psychological Diseases of PLA in the PLA 102nd Hospital, Public Health Division of Joint Logistics Department of Nanjing Military Command
文摘Background: To explore the relationship between acute stress, social support and sleep disorder in grass-root military personnel, and construct the relational model through structural equation modeling. Methods: A total of 2,411 grass-root military personnel were randomly selected by cluster sampling, and administered the Chinese Military Personnel Sleep Disorder Scale, Military Acute Stress Scale and Social Support Rating Scale.Results: The total score of acute stress scale was positively correlated with the total score and factor scores of sleep disorder scale(r=0.209~0.465, P【0.01); The total score of social support scale was positively correlated with the total score of acute stress scale and the total score and factor scores of sleep disorder scale(r=0.356~0.537, P【0.01). The analysis of mediating effects showed that lack of social support partially mediated between acute stress and the factors of sleep disorder. The analysis of structural equation model showed that acute stress not only had a direct effect on sleep disorder(the path coefficient was 0.29, P=0.000), but also on lack of social support(the path coefficient was 0.39, P=0.000); lack of social support had a direct effect on sleep disorder(the path coefficient was 0.48, P=0.000).Conclusions: Acute stress and lack of social support are two significant factors of sleep disorder in grass-root military personnel. Well-established social support could alleviate sleep disorder induced by acute stress. Lack of social support was a partial mediator between acute stress and sleep disorder.
文摘Network engineering is an emerging major across many disciplines,so there is yet to be an established personnel training program for this field.Moreover,there is a lack of reference material concerning personnel training.Therefore,it is especially urgent to explore a model suitable for personnel training in network engineering and study relevant personnel training systems.In this paper,the present situation of network engineering personnel training in China is analyzed,and basic orientation and training targets of network engineering major are explored.We find that network engineering personnel training is based on three main combinations:theory and practice,learning and innovation under the social computing environment,and classroom and employment experience,thereby providing constructive experience for training high-quality personnel specializing in network engineering.
文摘为保证客舱安全,及时识别出旅客的异常行为,基于眼动仪,模拟客舱旅客异常行为,构建试验系统。选取参加过工作实习的空中保卫专业的学生作为被试,获取被试的视觉特征数据。基于多重分形消除趋势波动分析法(Multifractal Detrended Fluctuation Analysis of nonstationary time series,MF-DFA),分析航空安全员的视觉搜索特征。结果表明:航空安全员的注视持续时间和扫视幅度与其识别异常行为的能力存在显著的正相关关系;具有高识别能力的航空安全员的注视持续时间和扫视幅度奇异谱宽度均大于低识别能力的航空安全员的奇异谱宽度,具有较强的抗外界干扰能力。将MF-DFA算法引入航空安全员的视觉搜索特征分析,为航空安全员的培训和选拔等提供参考。
