Combined Effects of Sleep Deprivation, Narrow Space, Social Isolation and High Cognitive Workload on Cognitive Ability of Chinese Operators

Zhang, Yijing; Liu, Xueyong; Li, Zhizhong; Wu, Bin; Liu, Fang; Jing, Xiaolu; Wang, Jun; Qin, Haibo; Wu, Shaohua

doi:10.1007/978-3-642-02812-0_37

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The laboratory environment refers to the bad environment that may exist in the civil engineering laboratories, including strong noise vibration [ 24 , 45 ], adverse temperature and humidity [ 46 , 47 ], bad ventilation [ 28 , 48 , 49 , 50 ], poor lighting [ 51 , 52 ] and complex floor conditions [ 35 , 41 , 53 ]. For example, the electro-hydraulic servo universal testing machine requires that the noise value of laboratory environment should be at least 10 dB (A) lower than the weighted sound level of machine.…”

Section: Identification Of Risk Factors and Research Specificitiesmentioning

confidence: 99%

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

Zhang

Peng

et al. 2020

IJERPH

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With the rapid development of the construction industry, an increasing amount of attention were paid by universities to the development of civil engineering experiment courses so as to improve the practical research abilities of students. In recent years, due to the frequent occurrence of civil engineering laboratory accidents, it has become an urgent issue regarding on what factors influencing safety risks and how to assess and reduce the safety risks in civil engineering laboratories. Based on the lab criticity index (LCI) model, the research specificities of civil engineering laboratories were analyzed through literature review and expert interviews and 13 risk factors of civil engineering laboratories, from the four aspects of man, object, management, and environment, identified. The data for each parameter in the LCI model was obtained through a questionnaire survey, and finally the LCI value was calculated to evaluate priority. Among them, insufficient safety awareness of operators, danger due to equipment failure, imperfect management policies, and complex floor conditions were listed as the most common risk factors. Based on the LCI model, the worsening factors of these four risk factors were further analyzed. The LCI model is applied to the new research field of safety risk assessment in civil engineering laboratories that few researchers have studied before and a risk list for civil engineering laboratories was created. We revealed the safety status of civil engineering laboratories in Jiangsu Province and provided feasible suggestions for improving the management and supervision of civil engineering laboratories at universities. It can strengthen operator awareness of the risks in civil engineering laboratories and improve the social group’s attention to the safety risks of the laboratories, thus reducing the accidents’ possibility and seriousness of civil engineering laboratories.

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Section: Identification Of Risk Factors and Research Specificitiesmentioning

confidence: 99%

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

Zhang

Peng

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

An improved model to predict performance under mental fatigue

et al. 2018

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Fatigue has become an increasing problem in our modern society. Using MATLAB as a generic modelling tool, a fatigue model was developed based on an existing one and compared with a commercial fatigue software for prediction of cognitive performance under total and partial sleep deprivation. The flexibility of our fatigue model allowed additions of new algorithms and mechanisms for non-sleep factors and countermeasures and thus improved model predictions and usability for both civilian and military applications. This was demonstrated by model simulations of various scenarios and comparison with experimental studies. Our future work will be focused on model validation and integration with other modelling tools. Practitioner Summary: Mental fatigue affects health, safety and quality of life in our modern society. In this paper, we reported a cognitive fatigue model based on existing models with newly incorporated components taking both the operator's state of alertness and task demand into account. The model provided the additional capability for prediction of cognitive performance in scenarios involving pharmaceutical countermeasures, different task demands and shift work.

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Combined Effects of Sleep Deprivation, Narrow Space, Social Isolation and High Cognitive Workload on Cognitive Ability of Chinese Operators

Cited by 2 publications

References 7 publications

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

An improved model to predict performance under mental fatigue

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