Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Hateley P"'
Autor:
Charlotte Hateley, Antoni Olona, Laura Halliday, Matthew L. Edin, Jeong-Hun Ko, Roberta Forlano, Ximena Terra, Fred B. Lih, Raúl Beltrán-Debón, Penelopi Manousou, Sanjay Purkayastha, Krishna Moorthy, Mark R. Thursz, Guodong Zhang, Robert D. Goldin, Darryl C. Zeldin, Enrico Petretto, Jacques Behmoaras
Publikováno v:
EBioMedicine, Vol 103, Iss , Pp 105127- (2024)
Summary: Background: Obesity drives maladaptive changes in the white adipose tissue (WAT) which can progressively cause insulin resistance, type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated liver disease (MASLD). Obesity-mediated l
Externí odkaz:
https://doaj.org/article/f522db65b00f4ac6b5690aad31edc432
Autor:
Ionut, Alexandru, Hateley, James C.
This work is an extension of previous work by Alazah et al. [M. Alazah, S. N. Chandler-Wilde, and S. La Porte, Numerische Mathematik, 128(4):635-661, 2014]. We split the computation of the Fresnel Integrals into 3 cases: a truncated Taylor series, mo
Externí odkaz:
http://arxiv.org/abs/2011.10936
Autor:
Hateley, James, Yang, Xu
The frozen Gaussian approximation (FGA) is an effective tool for modeling high frequency wave propagation. In previous works, the convergence of the FGA has established for strict hyperbolic systems. In this work, we derive the frozen Gaussian approx
Externí odkaz:
http://arxiv.org/abs/1911.00412
Akademický článek
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Akademický článek
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The purpose of this work is to generalize the frozen Gaussian approximation (FGA) theory to solve the 3-D elastic wave equation and use it as the forward modeling tool for seismic tomography with high-frequency data. FGA has been previously developed
Externí odkaz:
http://arxiv.org/abs/1810.06760
We propose a deep learning algorithm for seismic interface and pocket detection with neural networks trained by synthetic high-frequency displacement data efficiently generated by the frozen Gaussian approximation (FGA). In seismic imaging high-frequ
Externí odkaz:
http://arxiv.org/abs/1810.06610
Autor:
Shannon Hateley, Angelica Lopez-Izquierdo, Chuanchau J. Jou, Scott Cho, Joshua G. Schraiber, Shiya Song, Colin T. Maguire, Natalia Torres, Michael Riedel, Neil E. Bowles, Cammon B. Arrington, Brett J. Kennedy, Susan P. Etheridge, Shuping Lai, Chase Pribble, Lindsay Meyers, Derek Lundahl, Jake Byrnes, Julie M. Granka, Christopher A. Kauffman, Gordon Lemmon, Steven Boyden, W. Scott Watkins, Mary Anne Karren, Stacey Knight, J. Brent Muhlestein, John F. Carlquist, Jeffrey L. Anderson, Kenneth G. Chahine, Khushi U. Shah, Catherine A. Ball, Ivor J. Benjamin, Mark Yandell, Martin Tristani-Firouzi
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Many rare high-impact variants have been associated with disease, but the origins and functional impact are not always explored. Here, the authors trace the ancestry of a rare high impact atrial fibrillation allele in KCNQ1, and use iPSC-derived card
Externí odkaz:
https://doaj.org/article/fc7dba9c47974f5aa229e04e2b3a9d14
Autor:
Antoni Olona, Subhankar Mukhopadhyay, Charlotte Hateley, Fernando O. Martinez, Siamon Gordon, Jacques Behmoaras
Publikováno v:
BMC Biology, Vol 19, Iss 1, Pp 1-10 (2021)
Abstract Cell membrane fusion and multinucleation in macrophages are associated with physiologic homeostasis as well as disease. Osteoclasts are multinucleated macrophages that resorb bone through increased metabolic activity resulting from cell fusi
Externí odkaz:
https://doaj.org/article/2fd5b548491e4a29a5558064d1059ef3
Autor:
Yong Wang, Robert Burton, Cecily Vaughn, Miao Zhang, Brooke Rhead, Heather Harris, Spencer C Knight, Shannon R McCurdy, Marie V Coignet, Danny S Park, Genevieve H L Roberts, Nathan D Berkowitz, David Turissini, Karen Delgado, Milos Pavlovic, Asher K Haug Baltzell, Harendra Guturu, Kristin A Rand, Ahna R Girshick, Eurie L Hong, Catherine A Ball, Yambazi Banda, Ke Bi, Marjan Champine, Ross Curtis, Abby Drokhlyansky, Ashley Elrick, Cat Foo, Michael Gaddis, Jialiang Gu, Shannon Hateley, Shea King, Christine Maldonado, Evan McCartney-Melstad, Alexandra McFarland, Patty Miller, Luong Nguyen, Keith Noto, Jingwen Pei, Jenna Petersen, Scott Pew, Chodon Sass, Josh Schraiber, Alisa Sedghifar, Andrey Smelter, Sarah South, Barry Starr
Publikováno v:
BMJ Open, Vol 12, Iss 10 (2022)
Objectives The enormous toll of the COVID-19 pandemic has heightened the urgency of collecting and analysing population-scale datasets in real time to monitor and better understand the evolving pandemic. The objectives of this study were to examine t
Externí odkaz:
https://doaj.org/article/3d91f05ab0d54f8ea55c2becf75f8e4a