1,130 research outputs found

    The study of consumption patterns and expectations of organic catering consumers in Taiwan

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    This report was presented at the UK Organic Research 2002 Conference. Organic catering is increasingly provided in public and private food services. In Taiwan, most organic catering is vegetarian and affiliated with organic food stores. These offer diners organic meals to make themselves competitive to attract target markets, and provide related information to improve consumers’ knowledge of organic foods and hopefully increase their consumption. Organic catering consumers’ knowledge of organic foods, attitudes toward consumption, and consumption behavior are all related. Consumption is affected by gender, marital status, age, religion, education, occupation, personal health, family health and expenditure allowance. Regular organic catering customers emphasize “balanced nutrition” and “certification or reliability of organic sources”. The obstacles to consumption for non-regular organic catering consumers are “too expensive” and “difficult to find”. Most organic catering consumers prefer the service styles “health-themed restaurant” and “located inside the organic food stores”

    Code Prediction by Feeding Trees to Transformers

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    We advance the state-of-the-art in the accuracy of code prediction (next token prediction) used in autocomplete systems. First, we report that using the recently proposed Transformer architecture even out-of-the-box outperforms previous neural and non-neural systems for code prediction. We then show that by making the Transformer architecture aware of the syntactic structure of code, we further increase the margin by which a Transformer-based system outperforms previous systems. With this, it outperforms the accuracy of an RNN-based system (similar to Hellendoorn et al. 2018) by 18.3\%, the Deep3 system (Raychev et al 2016) by 14.1\%, and an adaptation of Code2Seq (Alon et al., 2018) for code prediction by 14.4\%. We present in the paper several ways of communicating the code structure to the Transformer, which is fundamentally built for processing sequence data. We provide a comprehensive experimental evaluation of our proposal, along with alternative design choices, on a standard Python dataset, as well as on a Facebook internal Python corpus. Our code and data preparation pipeline will be available in open source

    台湾人女性とベリーダンス : 変容する女性らしさに関する人類学的研究

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    早大学位記番号:新6518早稲田大

    Science Education for Preschoolers Based on Superstar Learning Access Course Blended Teaching Practice

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    The rapid development of information technology is changing and even subverting the traditional mode of education and teaching practice. Mixed teaching is an effective way to reform the teaching mode, realize resource sharing and improve the quality of talent training. Based on the concept of hybrid teaching definition, this paper to master learning theory and active learning theory as the theoretical basis, based on super learning online platform of preschool children science education course hybrid teaching practice, further discussed before class, class, after class three stages of teachers and students, in order to provide the experience of mixed teaching reform
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