Zobrazeno 1 - 10
of 2 691
pro vyhledávání: '"P Gulliver"'
Autor:
Hussain, Sadam, Ali, Mansoor, Naseem, Usman, Palomo, Beatriz Alejandra Bosques, Molina, Mario Alexis Monsivais, Abdala, Jorge Alberto Garza, Avalos, Daly Betzabeth Avendano, Cardona-Huerta, Servando, Gulliver, T. Aaron, Pena, Jose Gerardo Tamez
Rising breast cancer (BC) occurrence and mortality are major global concerns for women. Deep learning (DL) has demonstrated superior diagnostic performance in BC classification compared to human expert readers. However, the predominant use of unimoda
Externí odkaz:
http://arxiv.org/abs/2410.10146
Autor:
Annika Lindh Falk, Madeleine Abrandt Dahlgren, Johanna Dahlberg, Bente Norbye, Anita Iversen, Kylie J. Mansfield, Eileen McKinlay, Sonya Morgan, Julia Myers, Linda Gulliver
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The global discourse on future health care emphasises that learning to collaborate across professions is crucial to assure patient safety and meet the changing demands of health care. The research on interprofessional education (I
Externí odkaz:
https://doaj.org/article/530b328ae35842a0be25785a98a66ebd
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110789- (2024)
Quantum field lens coding algorithm (QF-LCA) dataset is useful for simulating systems and predict system events with high probability. This is achieved by computing QF lens distance-based variables associated to event probabilities from the dataset p
Externí odkaz:
https://doaj.org/article/aa0a78a1bbb64275badf44522da7d765
Publikováno v:
Microbial Biotechnology, Vol 17, Iss 11, Pp n/a-n/a (2024)
Abstract Recent years have witnessed major advances and an ever‐growing list of healthcare applications for microbiome‐based therapeutics. However, these advances have disproportionately targeted diseases common in high‐income countries (HICs).
Externí odkaz:
https://doaj.org/article/173d475f3f8248fc9ff415f625c09cb4
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13537-13552 (2024)
This paper presents the generalized Pell $ p- $numbers and provides some related results. A new sequence is defined using the characteristic polynomial of the Pell $ p- $numbers and generalized Mersenne numbers. Two algorithms for Diffie-Hellman key
Externí odkaz:
https://doaj.org/article/525b0e12181f4210b0b862ee2409b6ee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Decarbonatization initiatives have rapidly increased the demand for lithium. This study uses public waste compliance reports and Monte Carlo approaches to estimate total lithium mass yields from produced water (PW) sourced from the Marcellus
Externí odkaz:
https://doaj.org/article/f3cd2590ab9e47829b135a52453429e0
Publikováno v:
Journal of Asthma and Allergy, Vol Volume 17, Pp 349-359 (2024)
Weiyi Wang,1,2 John Gulliver,3 Sean Beevers,4,5 Anna Freni Sterrantino,1,6 Bethan Davies,1,2 Richard W Atkinson,3 Daniela Fecht1,2 1UK Small Area Health Statistics Unit, MRC Centre for Environment and Health, Department of Epidemiology and Biostatist
Externí odkaz:
https://doaj.org/article/3fbcdcc3d6354edeb9de30afd4b169e0
Steganography in multimedia aims to embed secret data into an innocent looking multimedia cover object. This embedding introduces some distortion to the cover object and produces a corresponding stego object. The embedding distortion is measured by a
Externí odkaz:
http://arxiv.org/abs/2207.04521
Autor:
Rhiannon Thompson, Gregor Stewart, Tuan Vu, Calvin Jephcote, Shanon Lim, Benjamin Barratt, Rachel B. Smith, Yasmin Bou Karim, Aamirah Mussa, Ian Mudway, Helen L. Fisher, Iroise Dumontheil, Michael S.C. Thomas, John Gulliver, Sean Beevers, Frank J. Kelly, Mireille B. Toledano
Publikováno v:
Environment International, Vol 191, Iss , Pp 108963- (2024)
Background: There is increasing evidence that air pollution and noise may have detrimental psychological impacts, but there are few studies evaluating adolescents, ground-level ozone exposure, multi-exposure models, or metrics beyond outdoor resident
Externí odkaz:
https://doaj.org/article/e0b31e06909d4bbcbaec467c07557b18
Autor:
Hayley M Jackson, Amelia Gulliver, Penelope Hasking, Liana Leach, Philip J Batterham, Alison L Calear, Louise M Farrer
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Digital interventions can be effective in preventing and treating common mental health conditions among university students. Incorporating student experiences and perspectives in the design and implementation of these programmes may improve
Externí odkaz:
https://doaj.org/article/3d9dceedcfb14d8fb553807639628d2d