Suchergebnisse

The chemical industry has made great contributions to the national economy, but frequent chemical plant explosion accidents (CPEAs) have also caused heavy property losses and casualties, as the CPEA is the result of interaction of many related risk factors, leading to uncertainty in the evolution of the accident. To systematically excavate and analyze the underlying causes of accidents, this paper first integrates emergency elements in the frame of orbit intersection theory and proposes 14 nodes to represent the evolution path of the accident. Then, combined with historical data and expert experience, a Bayesian network (BN) model of CPEAs was established. Through scenario analysis and sensitivity analysis, the interaction between factors and the impact of the factors on accident consequences was evaluated. It is found that the direct factors have the most obvious influence on the accident consequences, and the unsafe conditions contribute more than the unsafe behaviors. Furthermore, considering the factor chain, the management factors, especially safety education and training, are the key link of the accident that affects unsafe behaviors and unsafe conditions. Moreover, effective government emergency response has played a more prominent role in controlling environmental pollution. In addition, the complex network relationship between elements is presented in a sensitivity index matrix, and we extracted three important risk transmission paths from it. The research provides support for enterprises to formulate comprehensive safety production management strategies and control key factors in the risk transmission path to reduce CPEA risks.

Abstract. In the context of global warming and China's disaster response
patterns, it is critical to understand how to promote the effectiveness of
household flood protection measures among the public. In this study, we
developed a comprehensive theoretical framework based on protection
motivation theory (PMT) to identify the main determinants that influence
urban residents' intention to prepare for flood risk. In addition to the
fundamental factors in PMT, this framework also considered the influence of
individual coping attitudes and social context. We selected urban residents
in flood-prone areas of Henan Province as the study population as well as
collected 857 valid questionnaires through an online survey. Firstly, the
results showed that both threat perception and coping appraisal of flood
risk are effective in increasing residents' intention to prepare. Secondly,
negative risk-coping attitudes reduced people's intention to prepare. If
people do not perceive preparedness actions as absolutely necessary, they
will postpone them or shift their focus to public flood protection measures. In addition,
analysis of affective pathways revealed that negative emotion (worry) was
primarily influenced by perceptions of flood consequences and was not
significantly related to perceptions of likelihood. The analysis of trust
mechanisms showed that higher levels of trust in public flood protection
reduced people's perceptions of flood risk, thereby hindering their intention
to prepare for flood risk. Finally, we found that the positive influence
of social norms on preparedness intentions makes it appropriate to focus on
the power of social mobilization. The findings will provide theoretical
references for government departments to design further policy measures to
improve integrated flood risk management in China.

<b><i>Background:</i></b> Steroid-induced osteonecrosis of the femoral head (ONFH) is aseptic necrosis of the femoral head caused by glucocorticoid use. Once necrotic femoral head necrosis occurs, it irreversibly affects the quality of life seriously. Studies have shown that the susceptibility to steroid-induced ONFH is likely to be related to the variation of miRNA-coding genes. Therefore, this study aimed was to investigate the effect of <i>MIR3142HG</i> on steroid-induced ONFH. <b><i>Methods:</i></b> Agena MassARRAY was used to genotype <i>MIR3142HG</i> gene rs1582417, rs2431689, rs7727155, and rs17057846 in 199 patients and 725 healthy people. A genetic model and haplotype analysis were used to evaluate the relationship between the <i>MIR3142HG</i> polymorphism and the risk of steroid-induced ONFH. The odds ratio and 95% confidence intervals were obtained through logistic regression to assess the influence of gene polymorphisms on the occurrence of steroid-induced ONFH. <b><i>Results:</i></b> The consequences show that rs7727115 is a protective factor, it could reduce the risk of steroid-induced ONFH, and rs1582417 could increase the risk of steroid-induced ONFH. In the genetic model, rs1582417 was associated with increased risk of alcohol-induced ONFH in dominant model and log-additive model. rs7727115 showed a decreased risk in codominant model, dominant model, and log-additive model. In addition, rs2431689 is related to HDL-C (<i>p</i> = 0.012) and ApoA1 (<i>p</i> = 0.010) levels, and rs17057846 (<i>p</i> = 0.024) is related to ApoB levels. Thelinkage analysis indicated 3 single-nucleotide polymorphisms (rs2431689, rs7727115, and rs17057846) in <i>MIR3142HG</i> with significant chain imbalance. In addition, haplotype "GGG" of <i>MIR3142HG</i> was found out and is harmful for steroid-induced ONFH. <b><i>Conclusion:</i></b> Our results first confirm that the genetic polymorphism of <i>MIR3142HG</i> is associated with steroid-induced ONFH susceptibility in Chinese Han population.