Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Shuicheng Tian"'
Publikováno v:
Meikuang Anquan, Vol 55, Iss 7, Pp 245-250 (2024)
To clarify the influencing factors and mechanisms of safety cognition among coal mine workers, reduce the occurrence of unsafe behaviors and accidents, and take safety attitude as a mediator, a hypothesis of the relationship between safety cognition,
Externí odkaz:
https://doaj.org/article/1a63258bc4cc424c8ea0f9c0ae1fae70
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/035ba983201849d1b63012097321a214
The neurocognitive mechanism linking temperature and humidity with miners’ alertness: an fNIRS study
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract As the depth of coal mining increases, the temperature and humidity of the underground environment also rise, which can negatively impact the physiological health of miners, and may even pose a threat to their safety and lives. However, stud
Externí odkaz:
https://doaj.org/article/ceab551446584fcead325218f15003be
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
BackgroundIn China’s coal mines, employees work in environments reaching depths of 650 m, with temperatures around 40°C and humidity levels as high as 90%, adversely affecting their health, safety capabilities, and cognitive functions, especially
Externí odkaz:
https://doaj.org/article/720c6c8e249b47688f213adcae24dee7
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Miners’ unsafe behavior is the main cause of accidents in coal mines, and unsafe state have an important influence on unsafe behavior among miners. To minimize accidents from the source of accident chain, we evaluated the impact of workloa
Externí odkaz:
https://doaj.org/article/d029a36b867243208697748af32b7b2c
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Mental fatigue increases risk-taking behavior. Using data collected between June 15 and August 6, 2020, this study investigates the impact of miners’ mental fatigue on risk decision-making to improve risk prevention and prediction abilitie
Externí odkaz:
https://doaj.org/article/8c6ed550ede54291a0e3d07a459d5ae1
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8753 (2023)
With the rapid advancement of artificial neural network (ANN) algorithms, many researchers have applied these methods to mine gas prediction and achieved numerous research achievements. It is of great significance to study methods that can accurately
Externí odkaz:
https://doaj.org/article/e6b013100f2747a5939264140b73b32f
Publikováno v:
Geofluids, Vol 2021 (2021)
Gas explosion, which is the main type of accidents reported in coal mines, comes with serious economic and safety consequences. The present work adopts the “glass heart” model for assessing the vulnerability of coal mines to gas explosions based
Externí odkaz:
https://doaj.org/article/5aaae4107e0a47f69d74f60359256c08
Publikováno v:
Advances in Civil Engineering, Vol 2021 (2021)
In order to study the influence of cognitive structure variables on miners’ unsafe behavior intentions, using TPB as the basic theoretical framework, a hypothesis model of miners’ unsafe behavior intentions was constructed including three cogniti
Externí odkaz:
https://doaj.org/article/af8a4515085144f3b2236048f4081299
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
A large number of accidents and scientific researches show that miners’ unsafe behavior affects coal mine safety production seriously. In order to effectively reduce the incidence of miners’ unsafe behavior, to improve their safety level, and red
Externí odkaz:
https://doaj.org/article/0512308c6a8648ceb0fbef5af1470257