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Risk management has been an essential issue in the evolution of air-force flight safety. In this paper, the investigated risk management of air-force flight training in the Gangshan airbase, Republic of China (ROC) is the main field of study. The main goal of this paper is to conduct a series of risk identification and assessments of the flight training. Firstly, the 16 risk factors (RFs) of flight training were identified according to the related studies of flight safety and risk and three experts’ interviews. Then, we created a fuzzy-analytic hierarchy process questionnaire and interviewed 20 flight instructors to obtain the weight of likelihood and consequence of the 16 RFs. Furthermore, a sequential assessment of the risk matrix was constructed to classify the 16 RFs into four groups, namely, extreme risk, high risk, medium risk, and low risk. As the results of the revised risk matrix, we provided four suggestions for the improvement of flight-training policy. These suggestions not only can facilitate the Gangshan airbase to smoothly transfer and reduce the deadly risk of flight training, but also provide exemplary risk management for other similar airbases.

During the synchronous online math competition, a high volume of data is continuously generated and collected from the user at every event. Those valuable data can be processed and analyzed to support many decisions in a second such as user state, cheating detection, online help desk, etc. In addition, enormous demands from different roles accessing those data, such as data analysts, data scientists, and executives, have increased recently. This paper presents a new architecture for synchronous real-time data streaming for online testing. Also, this paper identifies three challenges that need to be addressed: First, most online testing organizations rely on open-source frameworks for big data processing and streaming - Hadoop and Kafka. Second, we add the serverless architecture for synchronous real-time data streaming to an open-source learning management system, Moodle, to meet the synchronized online test requirement. Third, we discuss the benefit of the architecture in terms of high availability, cost, and technologies. [ABSTRACT FROM AUTHOR]

In this study, the mechanical properties of submicrocellular or nanocellular thermoplastic polyurethane (TPU) nanocomposite foams were investigated via batch foaming using CO2 as the blowing agent. Cloisite 30B nanoclay (clay 30B) was the nucleation agent. Adding clay 30B and foaming at 60 °C resulted in a nanocellular foam. A cell size of 450 nm and a cell density of 1011 cells/cm3 were obtained. The relative density of the foam was within the range 0.9-0.95. The modulus of the foamed samples was found to be proportional to their relative density regardless of their structure (microcellular/submicrocellular). The results indicated that the modulus of the foamed samples with a cell size larger than 400 nm decreased with foam density. However, to our surprise, although adding only 1 wt % of nanoclay reduced the foam density, an increase in the modulus was observed. In addition, the cells became small and uniform. [ABSTRACT FROM AUTHOR]