Results 101 to 110 of about 6,139,729 (399)

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Exploring multiyear-to-decadal North Atlantic sea level predictability and prediction using machine learning

npj Climate and Atmospheric Science
Coastal communities face substantial risks from long-term sea level rise and decadal sea level variations, with the North Atlantic and U.S. East Coast being particularly vulnerable under changing climates. Employing a self-organizing map-based framework,
Qinxue Gu, Liping Zhang, Liwei Jia, Thomas L. Delworth, Xiaosong Yang, Fanrong Zeng, William F. Cooke, Shouwei Li   +7 more
doaj   +1 more source

Liquid ring [PDF]

arXiv, 2011
This article describes the fluid dynamics video for "Liquid ring" presented at the 64th Annual Meeting of the APS Division of Fluid Dynamics in Baltimore, Maryland, November 20-22, 2011.
arxiv  

The roles and applications of extracellular vesicles in cancer

Molecular Oncology, EarlyView.
Extracellular vesicles (EVs) are minute versions of cells limited by a lipid bilayer containing cytoplasm from the cell that releases them, but without a nucleus and thus unable to self‐reproduce. EVs contain multiple molecules (proteins, lipids, glycans, and nucleic acids) they can induce complex responses in cells.
Clotilde Théry, Daniel Louvard
wiley   +1 more source

Fluid dynamics and jamming in a dilatant fluid [PDF]

arXiv, 2010
We present a phenomenological fluid dynamics model for a dilatant fluid, i.e. a severe shear thickening fluid, by introducing a state variable. The Navier-Stokes equation is coupled with the state variable field, which evolves in response to the local shear stress as the fluid is sheared.
arxiv  

Fluid dynamics of cerebrospinal fluid flow in perivascular spaces

Journal of the Royal Society Interface, 2019
The flow of cerebrospinal fluid along perivascular spaces (PVSs) is an important part of the brain’s system for delivering nutrients and eliminating metabolic waste products (such as amyloid-β); it also offers a pathway for the delivery of therapeutic ...
John H. Thomas
semanticscholar   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Geophysical Fluid Dynamics Laboratory [PDF]

Located in Princeton, New Jersey, GFDL conducts research where the goal is to expand the scientific understanding of the physical processes that govern the behavior of the atmosphere and the oceans as complex fluid systems.

core   +2 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Stirring faces: mixing in a quiescent fluid [PDF]

arXiv, 2012
This fluid dynamics video depicts the mixing that occurs as a two-dimensional flat plate plunges sinusoidally in a quiescent fluid. Finite-time Lyapunov exponents reveal sets that are attracting or repelling. As the flow field develops, strange faces emerge.
arxiv