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Five years of Nature Food
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-28 DOI: 10.1038/s43016-025-01119-w
The journal’s anniversary is an opportunity to reflect on food systems research and to celebrate our contribution to it.
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引用次数: 0
China’s sustainable food system requires concerted efforts 中国的可持续粮食体系需要各方共同努力
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-21 DOI: 10.1038/s43016-025-01115-0
Using an integrated assessment modelling framework, this study finds that under current trends, most social and environmental targets related to the Chinese food system are not aligned with the UN 2030 Agenda. Bundling policies addressing public health, environmental sustainability and livelihood improvement can minimize trade-offs, revealing the importance of coordinated strategies for achieving a sustainable food system.
利用综合评估模型框架,本研究发现,在目前的趋势下,与中国粮食系统相关的大多数社会和环境目标与联合国2030年议程不一致。将处理公共卫生、环境可持续性和改善生计的政策捆绑在一起,可以最大限度地减少取舍,从而揭示了协调战略对实现可持续粮食系统的重要性。
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引用次数: 0
Bundled measures for China’s food system transformation reveal social and environmental co-benefits 中国粮食体系转型的一系列措施揭示了社会和环境的协同效益
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-21 DOI: 10.1038/s43016-024-01100-z
Xiaoxi Wang, Hao Cai, Jiaqi Xuan, Ruiying Du, Bin Lin, Benjamin Leon Bodirsky, Miodrag Stevanović, Quitterie Collignon, Changzheng Yuan, Lu Yu, Michael Crawford, Felicitas Beier, Meng Xu, Hui Chen, Marco Springmann, Debbora Leip, David Meng-Chuen Chen, Florian Humpenöder, Patrick von Jeetze, Shenggen Fan, Bjoern Soergel, Jan Philipp Dietrich, Christoph Müller, Alexander Popp, Hermann Lotze-Campen
Food systems are essential for the achievement of the United Nations Sustainable Development Goals in China. Here, using an integrated assessment modelling framework that considers country-specific pathways and covers 18 indicators, we find that most social and environmental targets for the Chinese food system under current trends are not aligned with the United Nations Agenda 2030. We further quantify the impacts of multiple measures, revealing potential trade-offs in pursuing strategies aimed at public health, environmental sustainability and livelihood improvement in isolation. Among the individual packages of measures, a shift towards healthy diets exhibits the lowest level of trade-offs, leading to improvements in nutrition, health, environment and livelihoods. In contrast, focusing efforts on climate change mitigation and ecological conservation, or promoting faster socioeconomic development alone, have trade-offs between social and environmental outcomes. These trade-offs could be minimized by bundling all three aspects of measures. The effectiveness of the different policies and policy bundles for food systems transformation to achieve SDGs in China vary widely. Using an integrated modelling framework covering 18 indicators, this study compares the trade-offs and outcomes of efforts focused on dietary transitions, climate change mitigation and ecological conservation, and faster socioeconomic development, ultimately revealing that dietary shifts offer the most benefits.
粮食系统对于实现联合国在中国的可持续发展目标至关重要。本文采用综合评估模型框架,考虑了国家具体途径,涵盖了18个指标,我们发现,在当前趋势下,中国粮食系统的大多数社会和环境目标与联合国2030年议程不一致。我们进一步量化了多种措施的影响,揭示了孤立地追求旨在公共卫生、环境可持续性和改善生计的战略的潜在权衡。在一揽子措施中,向健康饮食转变的权衡程度最低,从而改善了营养、健康、环境和生计。相比之下,专注于减缓气候变化和保护生态,或单独促进更快的社会经济发展,会在社会和环境结果之间产生权衡。通过将所有三个方面的措施捆绑在一起,可以最大限度地减少这些权衡。
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引用次数: 0
Governance and resilience as entry points for transforming food systems in the countdown to 2030 治理和复原力是2030年倒计时期间粮食系统转型的切入点
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-14 DOI: 10.1038/s43016-024-01109-4
Kate R. Schneider, Roseline Remans, Tesfaye Hailu Bekele, Destan Aytekin, Piero Conforti, Shouro Dasgupta, Fabrice DeClerck, Deviana Dewi, Carola Fabi, Jessica A. Gephart, Yuta J. Masuda, Rebecca McLaren, Michaela Saisana, Nancy Aburto, Ramya Ambikapathi, Mariana Arellano Rodriguez, Simon Barquera, Jane Battersby, Ty Beal, Christophe Béné, Carlo Cafiero, Christine Campeau, Patrick Caron, Andrea Cattaneo, Jeroen Candel, Namukolo Covic, Inmaculada del Pino Alvarez, Ana Paula Dominguez Barreto, Ismahane Elouafi, Tyler J. Frazier, Alexander Fremier, Pat Foley, Christopher D. Golden, Carlos Gonzalez Fischer, Alejandro Guarin, Sheryl Hendriks, Anna Herforth, Maddalena Honorati, Jikun Huang, Yonas Getaneh, Gina Kennedy, Amos Laar, Rattan Lal, Preetmoninder Lidder, Getachew Legese Feye, Brent Loken, Hazel Malapit, Quinn Marshall, Kalkidan A. Mulatu, Ana Munguia, Stella Nordhagen, Danielle Resnick, Diana Suhardiman, U. Rashid Sumaila, Bangyao Sun, Belay Terefe Mengesha, Maximo Torero Cullen, Francesco N. Tubiello, Corné van Dooren, Isabel Valero Morales, Jose-Luis Vivero-Pol, Patrick Webb, Keith Wiebe, Lawrence Haddad, Mario Herrero, Jose Rosero Moncayo, Jessica Fanzo
Due to complex interactions, changes in any one area of food systems are likely to impact—and possibly depend on—changes in other areas. Here we present the first annual monitoring update of the indicator framework proposed by the Food Systems Countdown Initiative, with new qualitative analysis elucidating interactions across indicators. Since 2000, we find that 20 of 42 indicators with time series have been trending in a desirable direction, indicating modest positive change. Qualitative expert elicitation assessed governance and resilience indicators to be most connected to other indicators across themes, highlighting entry points for action—particularly governance action. Literature review and country case studies add context to the assessed interactions across diets, environment, livelihoods, governance and resilience indicators, helping different actors understand and navigate food systems towards desirable change. This study presents the first annual update of the indicator framework developed by the Food Systems Countdown Initiative, published in Nature Food in 2023. Almost half of all indicators show some desirable trends. Governance and resilience indicators were revealed as the most connected across themes, constituting entry points for transformative change.
由于复杂的相互作用,粮食系统任何一个领域的变化都可能影响并可能依赖于其他领域的变化。在此,我们提出了粮食系统倒计时倡议提出的指标框架的首次年度监测更新,并进行了新的定性分析,阐明了指标之间的相互作用。自2000年以来,我们发现42个有时间序列的指标中,有20个指标的趋势都朝着理想的方向发展,表明适度的积极变化。定性专家启发评估认为,治理和复原力指标与各主题的其他指标联系最为密切,突出了行动的切入点,特别是治理行动。文献综述和国家案例研究为所评估的饮食、环境、生计、治理和复原力指标之间的相互作用提供了背景,帮助不同行为体理解并引导粮食系统朝着理想的方向变化。
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引用次数: 0
Predictive equation helps estimate misreporting of energy intakes in dietary surveys 预测方程有助于估计饮食调查中能量摄入的误报
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-13 DOI: 10.1038/s43016-024-01090-y
R. James Stubbs, Mark Hopkins
Misreporting of dietary intake under free-living conditions in nutritional epidemiological studies can’t be easily captured. A predictive equation for total daily energy expenditure derived from the largest doubly labelled water dataset to date can help improve evaluation of the accuracy of self-reported dietary intake.
在营养流行病学研究中,在自由生活条件下的膳食摄入量的误报不容易被捕获。从迄今为止最大的双标签水数据集导出的每日总能量消耗预测方程有助于提高对自我报告饮食摄入量准确性的评估。
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引用次数: 0
Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake 从6,497双标签水测量得出的预测方程可以检测错误的自我报告的能量摄入
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-13 DOI: 10.1038/s43016-024-01089-5
Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J. Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Carlijn V. C. Bouten, Soren Brage, Maciej S. Buchowski, Nancy F. Butte, Stefan G. J. A. Camps, Regina Casper, Graeme L. Close, Jamie A. Cooper, Richard Cooper, Sai Krupa Das, Peter S. W. Davies, Prasangi Dabare, Lara R. Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Melanie Gillingham, Annelies H. Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H. Haisma, Daniel Hoffman, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk, Misaka Kimura, William E. Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F. Kushner, Estelle V. Lambert, Pulani Lanerolle, Christel L. Larsson, William R. Leonard, Nader Lessan, Marie Löf, Corby K. Martin, Eric Matsiko, Anine C. Medin, James C. Morehen, James P. Morton, Aviva Must, Marian L. Neuhouser, Theresa A. Nicklas, Christine D. Nyström, Robert M. Ojiambo, Kirsi H. Pietiläinen, Yannis P. Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L. Prentice, Susan B. Racette, David A. Raichlen, Eric Ravussin, Leanne M. Redman, John J. Reilly, Rebecca Reynolds, Susan B. Roberts, Dulani Samaranayakem, Luis B. Sardinha, Analiza M. Silva, Anders M. Sjödin, Marina Stamatiou, Eric Stice, Samuel S. Urlacher, Ludo M. Van Etten, Edgar G. A. H. van Mil, George Wilson, Jack A. Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J. Murphy-Alford, Srishti Sinha, Cornelia U. Loechl, Amy H. Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A. Schoeller, Klaas R. Westerterp, William W. Wong, John R. Speakman
Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index. This study presents a predictive equation for total energy expenditure derived from doubly labelled water measurements. Applying this equation to two large datasets (the National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) shows that the misreporting of total energy intake is greater than 50%, with important implications for macronutrient availability.
营养流行病学旨在将饮食暴露与慢性疾病联系起来,但评估饮食摄入的工具是不准确的。识别不可靠数据和错误来源的一种方法是将估计摄入量与总能量消耗(TEE)进行比较。在这项研究中,我们使用国际原子能机构双标签水数据库,利用4至96岁人群的6497个TEE测量值,推导出TEE的预测方程。由此产生的回归方程可以从容易获得的变量(如体重、年龄和性别)预测预期TEE,预测限为95%,可用于筛选饮食研究参与者的误报。我们将该方程应用于两个大型数据集(国家饮食和营养调查和国家健康和营养检查调查),发现误报的水平为50%。随着误报水平的增加,这些研究中饮食报告中的常量营养素组成存在系统性偏差,导致饮食成分与体重指数之间存在潜在的虚假关联。
{"title":"Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake","authors":"Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J. Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E. Blaak, Carlijn V. C. Bouten, Soren Brage, Maciej S. Buchowski, Nancy F. Butte, Stefan G. J. A. Camps, Regina Casper, Graeme L. Close, Jamie A. Cooper, Richard Cooper, Sai Krupa Das, Peter S. W. Davies, Prasangi Dabare, Lara R. Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Melanie Gillingham, Annelies H. Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H. Haisma, Daniel Hoffman, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk, Misaka Kimura, William E. Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F. Kushner, Estelle V. Lambert, Pulani Lanerolle, Christel L. Larsson, William R. Leonard, Nader Lessan, Marie Löf, Corby K. Martin, Eric Matsiko, Anine C. Medin, James C. Morehen, James P. Morton, Aviva Must, Marian L. Neuhouser, Theresa A. Nicklas, Christine D. Nyström, Robert M. Ojiambo, Kirsi H. Pietiläinen, Yannis P. Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L. Prentice, Susan B. Racette, David A. Raichlen, Eric Ravussin, Leanne M. Redman, John J. Reilly, Rebecca Reynolds, Susan B. Roberts, Dulani Samaranayakem, Luis B. Sardinha, Analiza M. Silva, Anders M. Sjödin, Marina Stamatiou, Eric Stice, Samuel S. Urlacher, Ludo M. Van Etten, Edgar G. A. H. van Mil, George Wilson, Jack A. Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J. Murphy-Alford, Srishti Sinha, Cornelia U. Loechl, Amy H. Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A. Schoeller, Klaas R. Westerterp, William W. Wong, John R. Speakman","doi":"10.1038/s43016-024-01089-5","DOIUrl":"10.1038/s43016-024-01089-5","url":null,"abstract":"Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index. This study presents a predictive equation for total energy expenditure derived from doubly labelled water measurements. Applying this equation to two large datasets (the National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) shows that the misreporting of total energy intake is greater than 50%, with important implications for macronutrient availability.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"58-71"},"PeriodicalIF":23.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43016-024-01089-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Heterogeneities in landed costs of traded grains and oilseeds contribute to unequal access to food 交易谷物和油籽的土地成本的异质性导致获得食物的机会不平等
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-06 DOI: 10.1038/s43016-024-01087-7
Jasper Verschuur, Yiorgos Vittis, Michael Obersteiner, Jim W. Hall
Despite the growing accessibility of international grain and oilseed markets, high production costs and trade frictions are still prevalent, contributing to regional heterogeneities in the landed cost of grain imports. Here we quantify the landed cost for six grain commodities across 3,500 administrative regions, capturing regional cost differences to produce grain and transport it across international borders. We find large heterogeneities in the costs of imported grain, which are highest in Oceania, Central America and landlocked Africa. While some regions have uniform landed costs across sourcing locations, others face cost variations across trading partners, showing large inequalities in access. We find that most regions could benefit from a targeted approach to reduce landed cost while others benefit from a mixed strategies approach. Our results highlight that spatial information on production, trade and transport is essential to inform policies aiming to build an efficient and resilient global agricultural commodity trade system. The cost of transporting agricultural products from the field to consumers across borders, also known as the landed cost, is highly influenced by trade frictions and regional cost differences. This study estimates this cost—including production, transport and trade components—for six grain commodities across 3,500 administrative regions, revealing large inequalities in access.
尽管国际谷物和油籽市场越来越容易进入,但高生产成本和贸易摩擦仍然普遍存在,导致粮食进口的土地成本存在区域差异。在这里,我们量化了3500个行政区域中6种粮食商品的落地成本,捕捉了生产粮食和跨境运输粮食的地区成本差异。我们发现进口谷物的成本存在很大的异质性,其中大洋洲、中美洲和非洲内陆地区的成本最高。虽然一些地区在各个采购地点的登陆成本是统一的,但其他地区在不同的贸易伙伴之间面临成本差异,表明在获取成本方面存在很大的不平等。我们发现,大多数地区可以从降低土地成本的针对性方法中受益,而其他地区则受益于混合策略方法。我们的研究结果强调,关于生产、贸易和运输的空间信息对于制定旨在建立高效和有弹性的全球农产品贸易体系的政策至关重要。
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引用次数: 0
Emerging alternatives to coffee, cocoa and palm oil deserve a spot on the research agenda 咖啡、可可和棕榈油的新兴替代品应该在研究议程上占有一席之地
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-06 DOI: 10.1038/s43016-024-01103-w
Anne Charlotte Bunge, Rachel Mazac, Michael Clark, Line Gordon
Despite increasing interest in cellular agriculture, coffee, cocoa and palm oil produced using these techniques have received limited scientific attention. Emerging alternatives could mitigate negative environmental and socio-economic impacts associated with these crops and meet growing demand despite declining production, but it is important to ensure that they do not reinforce inequities.
尽管人们对细胞农业越来越感兴趣,但利用这些技术生产的咖啡、可可和棕榈油却受到了有限的科学关注。新兴的替代品可以减轻与这些作物相关的负面环境和社会经济影响,并在产量下降的情况下满足日益增长的需求,但重要的是要确保它们不会加剧不平等。
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引用次数: 0
Factors that drive unequal access to international grain markets 导致国际粮食市场准入不平等的因素
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-06 DOI: 10.1038/s43016-024-01091-x
Global access to international food markets is still unequal and driven by trade and non-trade frictions. A new global cost analysis of the trade of grains highlights the importance of different cost components and their implications for exposure to price shocks and suggests strategies to improve market access.
全球进入国际粮食市场的机会仍然不平等,并受到贸易和非贸易摩擦的推动。一项新的全球谷物贸易成本分析强调了不同成本组成部分的重要性及其对价格冲击的影响,并提出了改善市场准入的策略。
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引用次数: 0
Future food prices will become less sensitive to agricultural market prices and mitigation costs 未来粮食价格对农产品市场价格和缓解成本的敏感度将降低
IF 23.6 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-01-03 DOI: 10.1038/s43016-024-01099-3
David Meng-Chuen Chen, Benjamin Bodirsky, Xiaoxi Wang, Jiaqi Xuan, Jan Philipp Dietrich, Alexander Popp, Hermann Lotze-Campen
Agricultural production costs represent less than half of total food prices for higher-income countries and will likely further decrease globally. Added-value components such as transport, processing, marketing and catering show increasing importance in food value chains, especially as countries undergo a nutrition transition towards more complex and industrial food systems. Here, using a combined statistical and process-based modelling framework, we derive and project the value-added component of food prices for 136 countries and 11 different food groups, for food-at-home and food-away-from-home. We identify the declining but differentiated producer share in consumer food prices across food products, and provide scenarios of future consumer prices under a business-as-usual as well as climate mitigation scenarios. Food price increases from policies targeting agricultural producers, such as greenhouse gas taxes, are not as stark when transmitted to consumers owing to higher value added in higher-income countries, while a pronounced effect remains in lower-income countries, even in coming decades. The future of food prices is uncertain yet key for food security and climate mitigation policies. This study estimates future food prices for 136 countries and 11 distinct food groups, showing that future food prices will become less sensitive to agricultural market dynamics and land-based mitigation policies, given the global transition towards more complex and industrial food systems.
在高收入国家,农业生产成本占粮食总价格的比例不到一半,在全球范围内可能会进一步下降。运输、加工、营销和餐饮等增值部分在食品价值链中的重要性日益增加,特别是在各国经历向更复杂和工业化食品系统的营养转型之际。在这里,我们使用统计和基于过程的综合建模框架,推导并预测了136个国家和11个不同食品类别的食品价格增值部分,包括家庭食品和非家庭食品。我们确定了各种食品的生产者在消费者食品价格中所占的份额不断下降,但存在差异,并提供了在一切照旧和气候减缓情景下的未来消费者价格情景。由于高收入国家的附加值较高,针对农业生产者的政策(如温室气体税)导致的食品价格上涨在转嫁给消费者时不会那么明显,而在低收入国家,即使在未来几十年,其影响仍很明显。
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引用次数: 0
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Nature food
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