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摘要翻译：
由于素食者的食物种类有限，素食健康的饮食设计具有挑战性。这一挑战可以部分地通过定量的、数据驱动的方法来克服，这些方法利用了为许多不同食物收集的大量营养信息。基于食物营养成分的大规模数据，最近的营养适宜性概念有助于量化每种食物中的营养平衡，以满足日常营养需求。营养适宜性提供优先推荐的食物使用食物的出现在营养充足的食物组合。在此，我们通过营养适合度的计算，系统地识别出适合于半严格素食饮食的营养推荐食物。除了在不同饮食中普遍推荐的食物，我们的分析揭示了适合每种饮食的食物，如作为氨基酸和胆碱来源的未成熟利马豆作为纯素饮食，以及作为维生素D来源的蛋乳素食和纯素饮食的蘑菇。此外，我们发现硒和其他必需的微量营养素可能会在植物性饮食中缺乏，并建议营养理想的饮食模式。我们将我们的分析扩展到两个高度个性化的、基于植物的蛋氨酸限制饮食的假设场景。我们的营养分析方法可以为设计不同类型的个性化素食饮食提供有用的指导。
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英文标题：
《Nutritionally recommended food for semi- to strict vegetarian diets
based on large-scale nutrient composition data》
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作者：
Seunghyeon Kim, Michael F. Fenech, Pan-Jun Kim
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最新提交年份：
2018
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Computer Science 计算机科学
二级分类：Social and Information Networks 社会和信息网络
分类描述：Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category.
涵盖社会和信息网络的设计、分析和建模，包括它们在联机信息访问、通信和交互方面的应用，以及它们作为数据集在这些领域和其他领域的问题探索中的作用，包括与社会和生物科学的联系。这类网络的分析和建模包括ACM学科类F.2、G.2、G.3、H.2和I.2的主题；计算应用包括H.3、H.4和H.5中的主题；计算和其他学科接口的应用程序包括J.1-J.7中的主题。关于计算机通信系统和网络协议（例如TCP/IP）的论文通常更适合网络和因特网体系结构（CS.NI）类别。
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一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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英文摘要：
Diet design for vegetarian health is challenging due to the limited food repertoire of vegetarians. This challenge can be partially overcome by quantitative, data-driven approaches that utilise massive nutritional information collected for many different foods. Based on large-scale data of foods' nutrient compositions, the recent concept of nutritional fitness helps quantify a nutrient balance within each food with regard to satisfying daily nutritional requirements. Nutritional fitness offers prioritisation of recommended foods using the foods' occurrence in nutritionally adequate food combinations. Here, we systematically identify nutritionally recommendable foods for semi- to strict vegetarian diets through the computation of nutritional fitness. Along with commonly recommendable foods across different diets, our analysis reveals favourable foods specific to each diet, such as immature lima beans for a vegan diet as an amino acid and choline source, and mushrooms for ovo-lacto vegetarian and vegan diets as a vitamin D source. Furthermore, we find that selenium and other essential micronutrients can be subject to deficiency in plant-based diets, and suggest nutritionally-desirable dietary patterns. We extend our analysis to two hypothetical scenarios of highly personalised, plant-based methionine-restricted diets. Our nutrient-profiling approach may provide a useful guide for designing different types of personalised vegetarian diets.
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PDF链接：
https://arxiv.org/pdf/1803.04915
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