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pro vyhledávání: '"Saul, B."'
Autor:
Shin, Jung-Im, Xu, Yunwen, Chang, Alexander R., Carrero, Juan J., Flaherty, Carina M., Mukhopadhyay, Amrita, Inker, Lesley A., Blecker, Saul B., Horwitz, Leora I., Grams, Morgan E.
Publikováno v:
In Journal of the American College of Cardiology 20 August 2024 84(8):683-693
Publikováno v:
AIP Advances, Vol 14, Iss 4, Pp 045047-045047-16 (2024)
As the adoption of wind energy as a key renewable energy source accelerates, precise power flow analysis becomes crucial for accurate power delivery forecasting. This paper addresses the inherent uncertainties in wind speed data at different wind far
Externí odkaz:
https://doaj.org/article/eae4c7f4de7f4b70bd7039050ad4213b
Autor:
Lin, Luotao, Guo, Jiaqi, Gelfand, Saul B, Bhadra, Anindya, Delp, Edward J, Richards, Elizabeth A, Hennessy, Erin, Eicher-Miller, Heather A
Publikováno v:
In The Journal of Nutrition February 2024 154(2):722-733
Autor:
Ian Kronish, Saul B Blecker, Samrachana Adhikari, John Dodson, Amrita Mukhyopadhyay, Samuel Kolzoff, Xiyue Li, Talia Nadel, Cassidy Fitchett, Rumi Chunara
Publikováno v:
BMJ Open, Vol 13, Iss 12 (2023)
Purpose Clinic-based or community-based interventions can improve adherence to guideline-directed medication therapies (GDMTs) among patients with heart failure (HF). However, opportunities for such interventions are frequently missed, as providers m
Externí odkaz:
https://doaj.org/article/27bbaa106efc4cf49738f071295fc40c
Autor:
Lin, Luotao, Guo, Jiaqi, Bhadra, Anindya, Gelfand, Saul B., Delp, Edward J., Richards, Elizabeth A., Hennessy, Erin, Eicher-Miller, Heather A.
Publikováno v:
In Journal of the Academy of Nutrition and Dietetics December 2023 123(12):1729-1748
Akademický článek
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Autor:
Dunlay, SHANNON M., KILLIAN, JILL M., ROGER, VERONIQUE L., SCHULTE, PHILLIP J., BLECKER, SAUL B., SAVITZ, SAMUEL T., REDFIELD, MARGARET M.
Publikováno v:
In Journal of Cardiac Failure October 2022 28(10):1500-1508
Autor:
Dapkins, Isaac, Blecker, Saul B.
Publikováno v:
Ethnicity & Disease, 2021 Jan 01. 31(1), 89-96.
Externí odkaz:
https://www.jstor.org/stable/48667881
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 16, Pp 3823-3831 (2021)
Abstract Modelling the uncertainty of wind speed is essential in power flow analysis. Having abundant knowledge of the wind speed in an area is critical. A low volume of data can increase uncertainty in wind speed analysis. Spatial dependencies are o
Externí odkaz:
https://doaj.org/article/b4c3b8eae5bc499e9b4144c097def72a