Results 61 to 70 of about 5,055,398 (233)

Geomagnetic data real-time forecast based on neural networks [PDF]

EPJ Web of Conferences
Earth magnetosphere has a complex structure and its state is estimated by geomagnetic indexes. The paper suggests an approach to make real-time forecast of SME geomagnetic index variations.
Polozov Yurii
doaj   +1 more source

Stochastic network formation and homophily [PDF]

arXiv.org, 2015
We survey and synthesize models of network formation based on random graphs and stochastic processes. We organize the material according to whether the population is treated as fixed or dynamic.
P. Pin, Brian W. Rogers
semanticscholar   +1 more source

Variational Models of Network Formation and Ion Transport: Applications to Perfluorosulfonate Ionomer Membranes

, 2012
We present the functionalized Cahn-Hilliard (FCH) energy, a continuum characterization of interfacial energy whose minimizers describe the network morphology of solvated functionalized polymer membranes.
N. Gavish, Jaylan Jones, Zhengfu Xu, A. Christlieb, K. Promislow   +4 more
semanticscholar   +1 more source

Cascaded dissipative DNAzyme-driven layered networks guide transient replication of coded-strands as gene models

Nature Communications, 2022
A reaction network executing a cascaded transient formation and depletion of three different catalytic strands is introduced. The system is coupled to the secondary temporal synthesis of different coded strands as gene models.
Jianbang Wang, Zhenzhen Li, Itamar Willner   +2 more
doaj   +1 more source

Phase formation prediction of high-entropy alloys: a deep learning study

Journal of Materials Research and Technology, 2022
High-entropy alloys (HEAs) represent prospective applications considering their outstanding mechanical properties. The properties in HEAs can be affected by the phase structure. Artificial neural network (ANN) is a promising machine learning approach for
Wenhan Zhu, Wenyi Huo, Shiqi Wang, Xu Wang, Kai Ren, Shuyong Tan, Feng Fang, Zonghan Xie, Jianqing Jiang   +8 more
doaj   +1 more source

Spatio-temporal Models of Lymphangiogenesis in Wound Healing

, 2016
Several studies suggest that one possible cause of impaired wound healing is failed or insufficient lymphangiogenesis, that is the formation of new lymphatic capillaries.
A Bianchi, A Castiglioni, A Christiansen, A Friedman, A Gosiewska, A Louveau, A Mantovani, A Saaristo, A Stéphanou, AB Sutton, AI Papaioannou, AJ Macdonald, AJ Singer, Arianna Bianchi, AV Benest, AW Taylor, AY Sheikh, B Greenwood, B Kaminska, B Whitehurst, BE Farrell, BM Berg van den, C Cao, C Heppell, C Norrmen, CA Cobbold, CH Cho, CL Helm, CT Ambrose, D Ludwig, DJ Grainger, DR Brown, E Hormbrey, E Mendoza, EK Rofstad, ETT Withington, F Krombach, F Mac Gabhann, G Crescenzo De, G Müller, G Oliver, GF Pierce, GJ Goodhill, H Brem, H Kaur, H Staden von, HA Levine, HM Byrne, HM Byrne, HV Waugh, I Barkefors, I Choi, I Nunes, I Zachary, J Asai, J Goldman, J Posnett, JA Flegg, JC Zhuang, JD Shields, JF Douglas, JJL Velázquez, JJL Velázquez, JM Rutkowski, JM Rutkowski, Jonathan A. Sherratt, JP Yang, K Maruyama, K Weber-Matthiesen, KC Boardman, KE Murphy, Kevin J. Painter, KN Margaris, L Edelstein, L Yang, LM Wakefield, M Fischer, M Hyytiäinen, M Lohela, M Oi, M Scianna, M Shi, MAJ Chaplain, ME Fleury, ME Swift, MH Witte, MTGT May, N Khalil, N Khalil, N Li Jeon, NP Reddy, NV Mantzaris, P Drew, P Galie, PN Bernatchez, R Boulton, R Huggenberger, RC Ji, RC Schugart, RH Adams, RS Sweat, RT Tranquillo, S Kiriakidis, S Lee, S Monstrey, S Podgrabinska, S Zimny, SJ Lunt, SM Wahl, T Miura, T Roose, T Tammela, TG Simonsen, TL Haas, VPKH Nguyen, WJ Jeffcoate, Y Cao, Y Zheng   +117 more
core   +1 more source

Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models.

PLoS Computational Biology
During angiogenesis, endothelial cells expand the vasculature by migrating from existing blood vessels, proliferating and collectively organizing into new capillaries.
Tessa M Vergroesen, Vincent Vermeulen, Roeland M H Merks   +2 more
doaj   +1 more source

Reionization from cosmic string loops [PDF]

, 2006
Loops formed from a cosmic string network at early times would act as seeds for early formation of halos, which would form galaxies and lead to early reionization. With reasonable guesses about astrophysical and string parameters, the cosmic string scale
Alexander Vilenkin, Ken D. Olum, M. J. Rees   +2 more
core   +2 more sources

A Nonlinear Coupling Network to Simulate the Development of the r-mode Instablility in Neutron Stars II. Dynamics [PDF]

, 2004
Two mechanisms for nonlinear mode saturation of the r-mode in neutron stars have been suggested: the parametric instability mechanism involving a small number of modes and the formation of a nearly continuous Kolmogorov-type cascade.
B. Carlson, E. Fermi, G. Bryan, Ira Wasserman, Jeandrew Brink, S. Chandrasekhar, Saul A Teukolsky, V. E. Zakharov, W. Dziembowski, W. Press   +9 more
core   +5 more sources

Notes on a PDE System for Biological Network Formation [PDF]

, 2015
We present new analytical and numerical results for the elliptic-parabolic system of partial differential equations proposed by Hu and Cai [8, 10], which models the formation of biological transport networks.
J. Haskovec, P. Markowich, B. Perthame, Matthias Schlottbom   +3 more
semanticscholar   +1 more source