Zobrazeno 1 - 10
of 103
pro vyhledávání: '"P. J. Hayward"'
Autor:
Fréderique Boeykens, Marie Abitbol, Heidi Anderson, Tanushri Dargar, Paolo Ferrari, Philip R. Fox, Jessica J. Hayward, Jens Häggström, Stephen Davison, Mark D. Kittleson, Frank van Steenbeek, Ingrid Ljungvall, Leslie A. Lyons, Maria Longeri, Åsa Ohlsson, Luc Peelman, Caroline Dufaure de Citres, Pascale Smets, Maria Elena Turba, Bart J. G. Broeckx
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/0c8f7bb9e3d446b4be5eba641a017691
Autor:
Lucía López-Bermudo, Bryan Moreno-Chamba, Julio Salazar-Bermeo, Nicholas J. Hayward, Amanda Morris, Gary J. Duncan, Wendy R. Russell, Antonio Cárdenas, Ángeles Ortega, Blanca Escudero-López, Genoveva Berná, Nuria Martí Bruña, Sylvia H. Duncan, Madalina Neacsu, Franz Martin
Publikováno v:
Nutrients, Vol 16, Iss 15, p 2518 (2024)
Persimmon fruit processing-derived waste and by-products, such as peels and pomace, are important sources of dietary fiber and phytochemicals. Revalorizing these by-products could help promote circular nutrition and agricultural sustainability while
Externí odkaz:
https://doaj.org/article/2c7b5fe1c610488ebb84107d6f220605
Autor:
I. T. Vidamour, C. Swindells, G. Venkat, L. Manneschi, P. W. Fry, A. Welbourne, R. M. Rowan-Robinson, D. Backes, F. Maccherozzi, S. S. Dhesi, E. Vasilaki, D. A. Allwood, T. J. Hayward
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract In-materia reservoir computing (RC) leverages the intrinsic physical responses of functional materials to perform complex computational tasks. Magnetic metamaterials are exciting candidates for RC due to their huge state space, nonlinear eme
Externí odkaz:
https://doaj.org/article/12fb4e4a7c654407896a716bc7650512
Autor:
Fréderique Boeykens, Marie Abitbol, Heidi Anderson, Tanushri Dargar, Paolo Ferrari, Philip R. Fox, Jessica J. Hayward, Jens Häggström, Stephen Davison, Mark D. Kittleson, Frank van Steenbeek, Ingrid Ljungvall, Leslie A. Lyons, Maria Longeri, Åsa Ohlsson, Luc Peelman, Caroline Dufaure de Citres, Pascale Smets, Maria Elena Turba, Bart J. G. Broeckx
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
IntroductionThe correct labeling of a genetic variant as pathogenic is important as breeding decisions based on incorrect DNA tests can lead to the unwarranted exclusion of animals, potentially compromising the long-term health of a population. In hu
Externí odkaz:
https://doaj.org/article/8d413a9679ba4823bbd35a7e66e7bb10
Autor:
Christopher J. Hayward, Jonathan A. Batty, David R. Westhead, Owen Johnson, Chris P. Gale, Jianhua Wu, Marlous Hall
Publikováno v:
EBioMedicine, Vol 96, Iss , Pp 104792- (2023)
Summary: Background: Knowledge of post-myocardial infarction (MI) disease risk to date is limited—yet the number of survivors of MI has increased dramatically in recent decades. We investigated temporally ordered sequences of all conditions followi
Externí odkaz:
https://doaj.org/article/36f33915ca63417ca0529d9981f8b9ab
Autor:
G Venkat, I T Vidamour, C Swindells, P W Fry, M C Rosamond, M Foerster, M A Niño, D Griffin, S Stepney, D A Allwood, T J Hayward
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 2, p 024018 (2024)
Physical reservoir computing (RC) is a machine learning technique that is ideal for processing of time dependent data series. It is also uniquely well-aligned to in materio computing realisations that allow the inherent memory and non-linear response
Externí odkaz:
https://doaj.org/article/f857e17784174480955c1ec4d4eaad47
Publikováno v:
mBio, Vol 14, Iss 2 (2023)
ABSTRACT Bulk RNA sequencing technologies have provided invaluable insights into host and bacterial gene expression and associated regulatory networks. Nevertheless, the majority of these approaches report average expression across cell populations,
Externí odkaz:
https://doaj.org/article/4092f372f99243b182d93bbc9c298a22
Autor:
Sujatha Jagannathan, Jessica C. de Greef, Lawrence J. Hayward, Kyoko Yokomori, Davide Gabellini, Karlien Mul, Sabrina Sacconi, Jamshid Arjomand, June Kinoshita, Scott Q. Harper
Publikováno v:
Skeletal Muscle, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Facioscapulohumeral muscular dystrophy (FSHD) is the second most common genetic myopathy, characterized by slowly progressing and highly heterogeneous muscle wasting with a typical onset in the late teens/early adulthood [1]. Although the et
Externí odkaz:
https://doaj.org/article/e1293d0484d644569819137cb3f35b3b
Autor:
Ankita Agarwal, MD, MSc, Jen-Ting Chen, MD, MS, Craig M. Coopersmith, MD, MCCM, Joshua L. Denson, MD, MS, Neal W. Dickert, MD, PhD, Lauren E. Ferrante, MD, MHS, Hayley B. Gershengorn, MD, Adhiraj D. Gosine, MD, Bradley J. Hayward, MD, Navneet Kaur, MD, Akram Khan, MD, Courtney Lamberton, MD, Douglas Landsittel, PhD, Patrick G. Lyons, MD, MSc, Mark E. Mikkelsen, MD, MSCE, Nandita R. Nadig, MD, MSCR, Anthony P. Pietropaoli, MD, MPH, Brian R. Poole, MD, Elizabeth M. Viglianti, MD, MPH, MSc, Jonathan E. Sevransky, MD, MHS, on behalf of SCCM Discovery Network
Publikováno v:
Critical Care Explorations, Vol 4, Iss 10, p e0774 (2022)
OBJECTIVES:. The optimal staffing model for physicians in the ICU is unknown. Patient-to-intensivist ratios may offer a simple measure of workload and be associated with patient mortality and physician burnout. To evaluate the association of physicia
Externí odkaz:
https://doaj.org/article/52b157d170d744e2ab2fe494a6a099b4
Autor:
Razvan V. Ababei, Matthew O. A. Ellis, Ian T. Vidamour, Dhilan S. Devadasan, Dan A. Allwood, Eleni Vasilaki, Thomas J. Hayward
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Machine learning techniques are commonly used to model complex relationships but implementations on digital hardware are relatively inefficient due to poor matching between conventional computer architectures and the structures of the algori
Externí odkaz:
https://doaj.org/article/311665638511400082e878163f25159a