Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Daniel Kirk"'
Autor:
Daniel Kirk, Ricardo Costeira, Alessia Visconti, Mohammadali Khan Mirzaei, Li Deng, Ana M. Valdes, Cristina Menni
Publikováno v:
Cell Reports, Vol 43, Iss 2, Pp 113728- (2024)
Summary: Cardiometabolic diseases are leading causes of mortality in Western countries. Well-established risk factors include host genetics, lifestyle, diet, and the gut microbiome. Moreover, gut bacterial communities and their activities can be alte
Externí odkaz:
https://doaj.org/article/e257fa553e0844c0a62428a1038450ec
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/c5ea7509345e4db48d808f1ff3d6b00d
Publikováno v:
Journal of Nutrition and Metabolism, Vol 2023 (2023)
Background. More people than ever seek nutrition information from online sources. The chatbot ChatGPT has seen staggering popularity since its inception and may become a resource for information in nutrition. However, the adequacy of ChatGPT to answe
Externí odkaz:
https://doaj.org/article/e9d6ca01e8d44eca98eb3a3921b1c20e
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict current status is a necessary fi
Externí odkaz:
https://doaj.org/article/ca1c1e1c62ca41f3ae430892623affba
Publikováno v:
Advances in Nutrition.
Autor:
Qin Wang, Aidan Tuohy, Miguel Ortega-Vazquez, Mobolaji Bello, Erik Ela, Daniel Kirk-Davidoff, William B. Hobbs, David J. Ault, Russ Philbrick
Publikováno v:
Applied Energy. 343:121254
Autor:
Daniel Kirk, Jedediah M. Storey
Publikováno v:
Journal of Spacecraft and Rockets. 57:930-944
Understanding, predicting, and controlling fluid slosh dynamics is critical to safety and improving the performance of liquid propulsion systems for space missions. Computational fluid dynamics sim...
Publikováno v:
Advances in nutrition (Bethesda, Md.) 13 (2022) 6
Advances in nutrition (Bethesda, Md.), 13(6), 2573-2589
Advances in nutrition (Bethesda, Md.), 13(6), 2573-2589
Data currently generated in the field of nutrition are becoming increasingly complex and high-dimensional, bringing with them new methods of data analysis. The characteristics of machine learning (ML) make it suitable for such analysis and thus lend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56abb05a9f6f202d6b6c2d5c11612095
https://research.wur.nl/en/publications/machine-learning-in-nutrition-research
https://research.wur.nl/en/publications/machine-learning-in-nutrition-research
Autor:
Ning Zeng, Kejun Jiang, Pengfei Han, Zeke Hausfather, Junji Cao, Daniel Kirk-Davidoff, Shaukat Ali, Sheng Zhou
Publikováno v:
Advances in Atmospheric Sciences
On 22 September 2020, within the backdrop of the COVID-19 global pandemic, China announced its climate goal for peak carbon emissions before 2030 and to reach carbon neutrality before 2060. This carbon-neutral goal is generally considered to cover al
Publikováno v:
Computers in biology and medicine. 133
Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a subbranch of Artificial Intell