Zobrazeno 1 - 10
of 2 963
pro vyhledávání: '"Gaskin, P."'
Global trade is shaped by a complex mix of factors beyond supply and demand, including tangible variables like transport costs and tariffs, as well as less quantifiable influences such as political and economic relations. Traditionally, economists mo
Externí odkaz:
http://arxiv.org/abs/2409.06554
Autor:
Bozzo, Enrico, Amati, Lorenzo, Baumgartner, Wayne, Chang, Tzu-Ching, Cordier, Bertrand, De Angelis, Nicolas, Doi, Akihiro, Feroci, Marco, Froning, Cynthia, Gaskin, Jessica, Goldstein, Adam, Götz, Diego, Grove, Jon E., Guiriec, Sylvain, Hernanz, Margarita, Hui, C. Michelle, Jenke, Peter, Kocevski, Daniel, Kole, Merlin, Kouveliotou, Chryssa, Maccarone, Thomas, McConnell, Mark L., Matsuhara, Hideo, O'Brien, Paul, Produit, Nicolas, Ray, Paul S., Roming, Peter, Santangelo, Andrea, Seiffert, Michael, Sun, Hui, van der Horst, Alexander, Veres, Peter, Wei, Jianyan, White, Nicholas, Wilson-Hodge, Colleen, Yonetoku, Daisuke, Yuan, Weimin, Zhang, Shuang-Nan
Since their first discovery in the late 1960s, Gamma-ray bursts have attracted an exponentially growing interest from the international community due to their central role in the most highly debated open questions of the modern research of astronomy,
Externí odkaz:
http://arxiv.org/abs/2404.11808
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction
Externí odkaz:
http://arxiv.org/abs/2312.03147
Autor:
Kohan, Khashayar F., Gaskin, Susan J.
Publikováno v:
Physics of Fluids, Volume 36 (10), 2024
The present study aims to understand the process of turbulent entrainment into a jet, as affected by background turbulence, using scalar statistics. Planar-laser-induced fluorescence was employed to capture the orthogonal cross sections of the jet at
Externí odkaz:
http://arxiv.org/abs/2310.19086
Autor:
Judi Porter, Cadeyrn J. Gaskin
Publikováno v:
Clinical Nutrition Open Science, Vol 56, Iss , Pp 26-36 (2024)
Summary: Background & Aims: Age-related changes in body composition and the apparent protective effects of being overweight suggest that specific guidance is required for the clinical management of overweight and obesity for older adults (≥65 years
Externí odkaz:
https://doaj.org/article/ab204096c00b42408c41d76f763920fc
Network structures underlie the dynamics of many complex phenomena, from gene regulation and foodwebs to power grids and social media. Yet, as they often cannot be observed directly, their connectivities must be inferred from observations of the dyna
Externí odkaz:
http://arxiv.org/abs/2303.18059
Autor:
Yang S Liu, Fernanda Talarico, Dan Metes, Yipeng Song, Mengzhe Wang, Lawrence Kiyang, Dori Wearmouth, Shelly Vik, Yifeng Wei, Yanbo Zhang, Jake Hayward, Ghalib Ahmed, Ashley Gaskin, Russell Greiner, Andrew Greenshaw, Alex Alexander, Magdalena Janus, Bo Cao
Publikováno v:
PLOS Digital Health, Vol 3, Iss 11, p e0000620 (2024)
Signs and symptoms of Attention-Deficit/Hyperactivity Disorder (ADHD) are present at preschool ages and often not identified for early intervention. We aimed to use machine learning to detect ADHD early among kindergarten-aged children using populati
Externí odkaz:
https://doaj.org/article/9e96cfb21eb8490fa164ab8c7096d973
Autor:
Lang Tran, Michele Treglia, Luca Coppeta, Cristiana Ferrari, Margherita Pallocci, Luisa Campagnolo, Luiz C. De Miranda Junior, Bruno Piccoli, Sharyn Gaskin, Francisco Cortes Fernandes, Fabio Dantas Filho, Pierluigi Passalacqua, Antonio Pietroiusti, Lorenzo Ippoliti, Mario Bragaglia, Francesca Nanni, Andrea Magrini, Luigi Tonino Marsella
Publikováno v:
Frontiers in Toxicology, Vol 6 (2024)
Nanoenergetics are defined as a class of nanomaterials that possess the ability to release energy in certain situations. These properties have been studied and deepened in recent years, so much so that nanoenergetics have been introduced into the use
Externí odkaz:
https://doaj.org/article/5abf69d854894f8f86e0ebab7ba47fec
Publikováno v:
PNAS 2023
Computational models have become a powerful tool in the quantitative sciences to understand the behaviour of complex systems that evolve in time. However, they often contain a potentially large number of free parameters whose values cannot be obtaine
Externí odkaz:
http://arxiv.org/abs/2209.13565
Deep learning based device fingerprinting has emerged as a key method of identifying and authenticating devices solely via their captured RF transmissions. Conventional approaches are not portable to different domains in that if a model is trained on
Externí odkaz:
http://arxiv.org/abs/2209.00786