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This chapter samples signs to do with eating out. They include names of restaurants, ordering and getting foods, dish names, and sample menus. The range of names for places to eat includes 饭店, 饭庄, 酒家, 酒楼, 餐厅, 馆, 店, 居, 厨房, 楼, 美食街, and 排档. As is the case with hotels, many restaurants have misleading names. For example, 酒家 and 酒楼 (distinct from 酒店 ‘hotel’) are not drinking establishments. In fact, few restaurants are straightforwardly called 饭馆 or 餐馆. 饭店 is used more for hotels than restaurants. To sound fancy and literary, aliases for place names are often used to refer to regional cuisines instead of official full names.
Kenneth I. Kellermann, National Radio Astronomy Observatory, Charlottesville, Virginia,Ellen N. Bouton, National Radio Astronomy Observatory, Charlottesville, Virginia
The introductory chapter places radio astronomy in the context of the broader astronomical environment. The transformational discoveries made by radio astronomy and the circumstances surrounding these discoveries are summarized with an emphasis on the role of serendipity and its impact on science.
To summarise the existing evidence of development, validation and current status of utilisation of dish-based dietary assessment tools.
Design:
Scoping review.
Setting:
Systematic search using PubMed and Web of Science.
Results:
We identified twelve tools from seventy-four eligible publications. They were developed for Koreans (n 4), Bangladeshis (n 2), Iranians (n 1), Indians/Malays/Chinese (n 1), Japanese (n 3) and Chinese Americans (n 1). Most tools (10/12) were composed of a dish-based FFQ. Although the development process of a dish list varied among the tools, six studies classified mixed dishes based on the similarity of their characteristics such as food ingredients and cooking methods. Tools were validated against self-reported dietary information (n 9) and concentration biomarkers (n 1). In the eight studies assessing the differences between the tool and a reference, the mean (or median) intake of energy significantly differed in five studies, and 26–83 % of nutrients significantly differed in eight studies. Correlation coefficients for energy ranged from 0·15 to 0·87 across the thirteen studies, and the median correlation coefficients for nutrients ranged from 0·12 to 0·77. Dish-based dietary assessment tools were used in fifty-nine studies mainly to assess diet–disease relationships in target populations.
Conclusions:
Dish-based dietary assessment tools have exclusively been developed and used for Asian-origin populations. Further validation studies, particularly biomarker-based studies, are needed to assess the applicability of tools.
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