Results 201 to 210 of about 3,348,378 (252)
Advanced Functional Materials, EarlyView.We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang +14 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler +4 more
wiley +1 more source
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Preconditioning Capacitance Matrix Problems in Domain Imbedding
SIAM Journal of Scientific Computing, 1994The finite element method with piecewise linear functions is considered for a second-order elliptic problem in a specific domain. The domain is the square with 1/8 part of it cut out by the straight line crossing the middles of two adjacent sides. The domain imbedding method reduces the problem to the solution of two subsidiary problems. One of them is
Panayot S Vassilevski
exaly +3 more sources
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization
Engineering Applications of Artificial Intelligence, 2014 Traditional cross-domain learning methods transfer learning from a source domain to a target domain. In this paper, we propose the multiple-domain learning problem for several equally treated domains.
Jim Jing-Yan Wang, Xin Gao
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On matrix domains of triangles
Applied Mathematics and Computation, 2007The authors' summary clearly explains the content of this paper: ``We prove some general results for the determination of the \(\beta \)-duals of, and the characterisations of matrix transformations on matrix domains of arbitrary triangles in FK-spaces. Our results contain almost all recently published ones as special cases.
Eberhard Malkowsky, Vladimir Rakocevic
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On Non-Distinguished Matrix Domains
Results in Mathematics, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Díaz, J.C., Grosse-Erdmann, Karl
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THE EXTENDED MATRIX DISK IS A DOMAIN OF HOLOMORPHY
Mathematics of the USSR-Izvestiya, 1992See the review in Zbl 0754.32006.
Sergeev, A. G., Heinzner, P.
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Domain transfer nonnegative matrix factorization
2014 International Joint Conference on Neural Networks (IJCNN), 2014Domain transfer learning aims to learn an effective classifier for a target domain, where only a few labeled samples are available, with the help of many labeled samples from a source domain. The source and target domain samples usually share the same features and class label space, but have significantly different In these experiments error of the ...
Jim Jing-Yan Wang +2 more
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Nuclear Domains and the Nuclear Matrix
1996This overview describes the spatial distribution of several enzymatic machineries and functions in the interphase nucleus. Three general observations can be made. First, many components of the different nuclear machineries are distributed in the nucleus in a characteristic way for each component.
R, van Driel +5 more
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