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Miscommunication in the cockpit or between pilots and air traffic controllers (ATCs) could be fatal when they use English, the de facto language for international civil aviation. To ensure air safety, the International Civil Aviation Organization (ICAO) has set up English proficiency requirements in Document 9835, calling for adherence to standardized terminology in aeronautic communication. For this reason, terminological competence proves a crucial challenge to non-native speakers of English and merits study from a variety of perspectives. Drawing from relevant work, the current study reports on a translational approach to developing terminological competence for student pilots attending a terminology course tailored to ICAO standards. By extracting subtitles from Mayday, a documentary series on air crashes, near-crashes, and crises, we built a specialized bilingual parallel corpus on aviation and analyzed terminological data against the inventory of events, domains, and sub-domains specified in Document 9835. Through the identification, elaboration, translation, and management of specialized terms, we explore the terminological competence development, and through follow-up interviews we identify the features of this course in shaping student pilots into domain experts qualified for aeronautic communication.

Aircrafts maintenance, temporary airport closures are common factors that disrupt normal flight schedule. The aircraft route recovery aims to recover original schedules by some strategies, including flights swaps, and cancellations, which is a NP-hard problem. This paper proposes an improved heuristic procedure based on Greedy Random Adaptive Search Procedure (GRASP) to solve this problem. The effectiveness and high global optimization capability of the heuristic is illustrated through experiments based on large-scale problems. Compared to the original one, it is shown that the improved procedure can find feasible flight recovered schedules with lower cost in a short time.

Under the new power system reform, the scale of electricity trading market in China grows rapidly, burdening power companies with more uncertainty risk relate to market trading. This paper constructs a risk warning model for electricity trading, and take market price fluctuation as the signal of market trading risk to carry out risk warning.