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To study the antioxidant effect in vivo and the effect of alleviating visual fatigue of blueberry pulp, and analyze the correlation between the antioxidant function of blueberry pulp and the effect of improving visual fatigue. The protein content, superoxide dismutase (SOD) activity, catalase (CAT) activity and malondialdehyde (MDA) content of mice were determined by kit after 30 days of low, medium and high doses of blueberry pulp. A total of 40 volunteers aged 18-22 with visual fatigue symptoms were selected and randomly divided into control group and trial drinking group. The trial drinking group drank 2 bottles of blueberry pulp (100mL/d) every day for consecutive 60 d. The results showed as follows: Compared with blank control group, the serum SOD activity of mice was significantly increased to 610.76 U/ mg prot, while the serum MDA content was significantly decreased to 4.82 nmol/mg prot in the intake of 0.53 mL blueberry pulp (P<0.05), and the intake of 0.21 mL blueberry pulp could significantly increase CAT activity in mice to 8.58 U/mg prot (P<0.05). The human body test showed that after drinking the blueberry juice for 60 d, the symptoms of visual fatigue and the duration of photopic vision were improved in the test group, and there was a significant difference in the male group (P<0.05). Result: Blueberry pulp has good antioxidant properties as well as good for relieving visual fatigue. [ABSTRACT FROM AUTHOR]

Researchers have been focusing on the potential of using plant polyphenols for promoting human health and have identified that the problems of poor stability, poor solubility, and low bioavailability of polyphenols in practical applications need to be urgently solved. The nanoemulsion delivery system has a small droplet size and good stability, thus is an excellent polyphenol delivery system with promising applications. Nanoemulsion-encapsulated polyphenols show improved stability, in vivo bioavailability, bioaccessibility, and antioxidant and antitumor activities, making it more suitable for application in the food industry. This paper reviews the current research on the classification and role of polyphenols, novel technologies for the preparation of polyphenol nanoemulsions, and the mechanism of nanoemulsion encapsulation and its effects on various properties of polyphenols. Based on the current problems posed when using polyphenol nanoemulsions, emulsion optimization scheme is proposed. Overall, the application status and potential use of polyphenol nanoemulsions in the food industry were explored. The findings of this study provide insights into future application directions of polyphenol nanoemulsions. [ABSTRACT FROM AUTHOR]

When facing public emergencies, human societies need to make decisions rapidly in order to mitigate the problems. However, this process can be difficult due to complexity of the emergency scenarios and lack of systematic methods for analyzing them. In the work reported here, we develop a framework based upon dynamic Bayesian networks in order to simulate emergency scenarios and support corresponding decisions. In this framework, we highlight the importance of emergency propagation, which is a critical factor often ignored by decisionmakers. We illustrate that failure of considering emergency propagation can lead to suboptimal mitigation strategies. By incorporating this critical factor, our framework enables decisionmakers to identify optimal response strategies minimizing emergency impacts. Scenarios developed from two public emergencies: the 2011 Fukushima nuclear power plant accidents and the Covid‐19 pandemic, are utilized to illustrate the framework in this paper. Capabilities of the framework in supporting decision making in both events illustrate its generality and adaptability when dealing with complex real‐world situations. Our analysis results reveal many similarities between these two seemingly distinct events. This indicates that seemingly unrelated emergencies can share many common features beyond their idiosyncratic characteristics. Valuable mitigation insights can be obtained by analyzing a broad range of past emergencies systematically. [ABSTRACT FROM AUTHOR]

When facing public emergencies, human societies need to make decisions rapidly in order to mitigate the problems. However, this process can be difficult due to complexity of the emergency scenarios and lack of systematic methods for analyzing them. In the work reported here, we develop a framework based upon dynamic Bayesian networks in order to simulate emergency scenarios and support corresponding decisions. In this framework, we highlight the importance of emergency propagation, which is a critical factor often ignored by decisionmakers. We illustrate that failure of considering emergency propagation can lead to suboptimal mitigation strategies. By incorporating this critical factor, our framework enables decisionmakers to identify optimal response strategies minimizing emergency impacts. Scenarios developed from two public emergencies: the 2011 Fukushima nuclear power plant accidents and the Covid-19 pandemic, are utilized to illustrate the framework in this paper. Capabilities of the framework in supporting decision making in both events illustrate its generality and adaptability when dealing with complex real-world situations. Our analysis results reveal many similarities between these two seemingly distinct events. This indicates that seemingly unrelated emergencies can share many common features beyond their idiosyncratic characteristics. Valuable mitigation insights can be obtained by analyzing a broad range of past emergencies systematically., (© 2022 Society for Risk Analysis.)