Results 71 to 80 of about 16,565,874 (393)

Numerical simulation of random fields using correlated random vector and the Karhunen-Loève expansion

Computer Assisted Methods in Engineering and Science, 2019
This paper presents an approach of one- and two-dimensional random field simulation methods using a correlated random vector and the Karhunen–Loève expansion. Comparison of the authors’ analytical solution of the Fredholm integral equation of the second
Mariusz Poński, Iwona Pokorska
doaj   +1 more source

Delocalization of electrons in a Random Magnetic Field

, 1995
Delocalization problem for a two-dimensional non-interacting electron system is studied under a random magnetic field. With the presence of a random magnetic field, the Hall conductance carried by each eigenstate can become nonzero and quantized in units
A. G. Aronov, A. MacKinnon, B. I. Halperin, B. I. Halperin, D. J. Thouless, D. J. Thouless, D. J. Thouless, D. Lee, D. N. Sheng, D. P. Arovas, E. Abrahams, H. Levine, L. B. Ioffe, M. Kohmoto, N. Nagaosa, P. A. Lee, Q. Niu, R. B. Laughlin, Richard E. Prange, Ronald Fisch, S. C. Zhang, T. Ando, T. Sugiyama, V. Kalmeyer, V. Kalmeyer, Y. Avishai, Y. Huo, Z. Y. Weng, Z. Y. Weng   +28 more
core   +1 more source

Semiclassical theory of transport in a random magnetic field [PDF]

, 1999
We study the semiclassical kinetics of 2D fermions in a smoothly varying magnetic field $B({\bf r})$. The nature of the transport depends crucially on both the strength $B_0$ of the random component of $B({\bf r})$ and its mean value $\bar{B}$. For $\bar{
A. D. Mirlin, A. Furusaki, A. Geim, A. Geim, A. Isihara, A. Knäbchen, A. Smith, A. Stern, A.D. Mirlin, A.D. Mirlin, A.D. Mirlin, A.G. Aronov, A.G. Aronov, A.M.M. Pruisken, B. Huckestein, B. Laikhtman, B.I. Halperin, D. G. Polyakov, D. Shoenberg, D.B. Chklovskii, D.B. Chklovskii, D.G. Polyakov, D.K.K. Lee, D.V. Khveshchenko, D.V. Khveshchenko, E. Buks, E.H. Hauge, F. Evers, F. Evers, F. Evers, F. Evers, F.B. Mancoff, G. Hackenbroich, G.M. Zaslavsky, J.E. Müller, J.H. Smet, J.K. Jain, J.T. Chalker, K. Richter, L. Zielinski, M.B. Isichenko, M.E. Raikh, M.H. Ernst, M.M. Fogler, P. Coleridge, P. Hedegard, P. Wölfle, P.D. Ye, P.T. Coleridge, P.T. Coleridge, R. Shankar, R.L. Willett, R.R. Du, S.H. Simon, S.J. Bending, T. Ando, Y.B. Kim   +56 more
core   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method [PDF]

International Journal of Mathematical, Engineering and Management Sciences
This study proposes a stochastic finite element method (SFEM) for analyzing the static response of beams with material properties modeled as three-dimensional spatial random fields. The method employs weighted integration to discretize spatial variations
Nguyen Dang Diem, Pham Van Dat, Ta Duy Hien   +2 more
doaj   +1 more source

Effective Field Theory of Random Quantum Circuits

Entropy, 2022
Quantum circuits have been widely used as a platform to simulate generic quantum many-body systems. In particular, random quantum circuits provide a means to probe universal features of many-body quantum chaos and ergodicity.
Yunxiang Liao, Victor Galitski
doaj   +1 more source

Partially Observed Markov Random Fields Are Variable Neighborhood Random Fields [PDF]

Journal of Statistical Physics, 2012
The present paper has two goals. First to present a natural example of a new class of random fields which are the variable neighborhood random fields. The example we consider is a partially observed nearest neighbor binary Markov random field. The second goal is to establish sufficient conditions ensuring that the variable neighborhoods are almost ...
Cassandro, M., Galves, A., Löcherbach, E.   +2 more
openaire   +2 more sources

Domain dynamics in nonequilibrium random-field Ising models

, 2013
We employ Monte Carlo simulations in order to study dynamics of the magnetization and domain growth processes in the random-field Ising models with uniform and Gaussian random field distributions of varying strengths. Domain sizes are determined directly
Hrivňak, S., Žukovič, M.
core   +1 more source

Conditional Random Fields as Recurrent Neural Networks [PDF]

IEEE International Conference on Computer Vision, 2015
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have attempted to harness the capabilities of deep learning techniques for image recognition to tackle pixel-level labelling tasks ...
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr   +7 more
semanticscholar   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source