A study on factors influencing Chinese undergraduate EFL learners’ self-directed use of mobile English learning resources

This study aimed to examine the factors that potentially impact the self-directed use of mobile English learning resources (MELR).The participants were 206 Chinese undergraduate EFL learners at Yangzhou University in Mainland China.Applying and modifying the Unified Theory of Acceptance and Use of Technology (UTAUT), this study involved six constru

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Deep machine learning for the PANDA software trigger

Abstract Deep machine learning methods have been studied for the software trigger of the future PANDA experiment at FAIR, using Monte Carlo simulated data from the GEANT-based detector simulation framework PandaRoot.Ten physics channels that cover the main physics topics, including electromagnetic, exotic, charmonium, open charm, and baryonic react

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How to measure gender bias in machine translation: Real-world oriented machine translators, multiple reference points

In this paper—as a case study—we present a systematic study of gender bias in machine translation with Google Translate.We translated sentences containing names of occupations from Hungarian, a language with gender-neutral pronouns, into English.Our aim was to present a fair measure for bias by comparing the translations to a real-world oriente

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