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In order to improve the condition of food safety management and prevent the dairy safety incidents effectively, supply chain and fault tree analysis (FTA) can be integrated to analyze the cause of such issues comprehensively. As a result, the main cause of the dairy incident can be found. Based on the analysis and identification of hazards in dairy foods across the entire supply chain from raw material sources to end-customers, the basic events which can lead to dairy incidents are given, and the accident tree of dairy foods is constructed. After a qualitative and quantitative analysis on the tree on the tree, the minimum cut sets and path sets are calculated. Then, the accidents mode and the accidents control mode are obtained, respectively. The Sanlu milk powder incident and the Fuyang milk powder affair are selected as the cases to prove the feasibility of FTA. We have analyzed 34 basic events quantitatively. Then 114 minimum cut sets and 78 minimum path sets are obtained. From the analysis of structure importance degree of the basic events, the most critical factors are production enterprises lack feedback mechanism (X1), Food and Drug Administration failed to sample (X33), Ministry of Health and other government departments overlook or don't have a good supervision (X34), supermarkets and other distributors make a wrong judgement and sell unsafe dairy (X32), the industrial and commercial department failed to sample (X31), personal preference (X2), family members need dairy (X3), supermarkets and other dealers promote unsafe dairy (X4), and their structural importance coefficients are 1, 1, 1, 0.567, 0.5, 0.25, 0.25, and 0.25, respectively. The corresponding dairy safety strategies are discussed qualitatively, which include: dairy enterprise establishes a feedback mechanism and strengthens industry self-regulation; regulatory authorities strengthen supervision; supermarket and other dealers enhance self-construction; consumers learn how to differentiate between unhealthy and healthy dairy foods; the government makes related food safety laws.

Because food safety risks are becoming increasingly complex, food regulators and public health professionals should improve their ability in food safety management process. This study used the Carrado food poisoning incident in China as a case study to assist related managers in food safety assurance. The indicator system was established by extracting the descriptive information about food safety incidents, including ex-ante and ex-post information. In total, 295 food safety incident cases based on the characteristic attributes since 2000 were collected to establish a case database. We applied the algorithms of information entropy and cosine similarity to build the similarity matching model, and determined the degree of similarity between historical cases and the target case using MATLAB. By referring to the experiences of similar historical cases and the food safety accident emergency response plan, the emergency response was made. After the attribute difference analysis between similar historical cases and the target case was performed, the root causes of the target case were found. Finally, preventive measures were suggested. These results may provide a reference for food regulators to make rapid emergency response in the food safety incident and avoid the recurrence of similar incidents.

The percolation model is an effective tool to solve the problem of fluid flow in the pores; the situation of outsiders crossing the crowd is similar. This paper verifies the obvious percolation phenomenon in the randomly distributed crowd by [Formula: see text] simulation and reveals several characteristics and laws of the crowd percolation phenomena. Studies have shown that sites with different spatial dimensions have different densities of crowd percolation: when the actual density of the crowd is greater than the critical density of the crowd percolation, the outsider is difficult to pass through the crowd; otherwise, the outsider can pass through the crowd easily. Therefore, the critical density of crowd percolation can be one of the indicators of crowd management in public areas, which will provide important guidance for the design of public areas, site selection of public activities and crowd management.

This paper has put forward a comprehensive assessment model of the emergency management capability of the coal mine accidents which is based on AHP and fuzzy comprehensive evaluation, and has made an empirical analysis. Firstly, the meaning and the key contents of the emergency management capability of coal mine accidents was elaborated. Secondly, the comprehensive evaluation index system of coal mine accidents emergency management capability was established. And then, the first class index weights were determined by AHP. Finally, this paper made a comprehensive evaluation of a certain regions emergency management capability of coal mine accidents by means of the fuzzy comprehensive evaluation.

The city integrated emergency response system achieved consolidated receive alarm and command which cross-regional, inter-departmental and cross-force, it can conduct emergency rescue or relief disaster timely, orderly and efficiently. This paper mainly used the method of analytic hierarchy process (AHP), analysis the city integrated emergency response system through the establishment of evaluation index system, get the calculation formula of its comprehensive score, and take Nanning city integrated emergency response system for example, apply and prove the index system and calculation formula.

Top-quality and efficient service increases in importance in the telecom service. One of its challenging issues is to deal with the atypical incidents. While the traditional mining algorithms are focus on the high-frequent item sets, a de-noising algorithm related to the atypical incidents still remains unsettled. This paper proposed a de-noising model based on the sliding window. In this model, FP-tree and multi-association rules are introduced to fix the thresholds of the sliding window. Experimental results demonstrate that the proposed algorithm can apply an appropriate data set to the knowledge discovery of the atypical incidents

Objective: To study the expression of IL-25 in airway inflammation of OVA-induced asthmatic mice and the effects of glucocorticoid. Methods: The asthmatic mice were induced by ovalbumin (OVA) sensitization and challenge. This model was confirmed by detecting airway responsiveness, serum levels of IgE and lung histopathology. We also detected the inflammatory cells by cell counting plate and cytokines by ELISA, respectively. We also detected the expression of IL-25 by quantitative real-time PCR and immunohistochemistry. Results: Compared with the mice in control group, the asthmatic mice showed elevated airway responsiveness and high serum levels of IgE. We also detected more inflammatory cells and high level of inflammatory cytokines in mice of OVA group. The expression of IL-25 was also significantly increased in both mRNA and protein levels in OVA group. Furthermore, treating mice with glucocorticoid could inhibit inflammatory cells and cytokines infiltration and reduce IL-25 expression. Conclusion: IL-25 level is increased in OVA-induced asthmatic airway inflammation and glucocorticoid is capable of inhibiting IL-25 expression as well as other Th2 cytokines, thus presents a promising strategy for the treatment of asthma.