Results 231 to 240 of about 1,718,862 (286)

Cardiac‐Derived ECM Microspheres for Enhanced hiPSC‐CMs Maturation

Advanced Functional Materials, EarlyView.
Cardiac extracellular matrix microspheres derived from decellularized porcine heart provide a biomimetic 3D microenvironment for human induced pluripotent stem cell–derived cardiomyocytes (hiPSC‐CMs). This platform supports short‐ and long‐term culture, enhances structural organization, and promotes electrophysiological and functional maturation of ...
Jiazhu Xu, Joel Aboagye, Marcella Edwards, Nick Rogozinski, Yufeng Wen, Angello Huerta Gomez, Zui Pan, Ge Zhang, Huaxiao Yang, Yi Hong   +9 more
wiley   +1 more source

Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions

Advanced Functional Materials, EarlyView.
Magnetic force microscopy operated under vacuum conditions enables the qualitative identification of higher‐order skyrmions and antiskyrmions in Co/Ni multilayers at room temperature. Distinct stray‐field contrast signatures arise from vertical Bloch lines and complex domain‐wall configurations.
Sabri Koraltan, Joe Sunny, Tamer Karaman, Reshma Peremadathil‐Pradeep, Emily Darwin, Felix Büttner, Dieter Suess, Hans Josef Hug, Manfred Albrecht   +8 more
wiley   +1 more source

Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires

Advanced Functional Materials, EarlyView.
Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar, Jorge Marqués‐Marchán, Sara Catalano, Agustina Asenjo, Michael Foerster, Miguel Angel Niño, Manuel Vazquez, Fèlix Casanova, Arantxa Fraile Rodríguez, Rafael P. Del Real, Oksana Chubykalo‐Fesenko, Cristina Bran   +11 more
wiley   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

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Hidden Conditional Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time.
Ariadna, Quattoni, Sybor, Wang, Louis-Philippe, Morency, Michael, Collins, Trevor, Darrell   +4 more
openaire   +4 more sources

INNOVATIONS FOR RANDOM FIELDS

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 1998
There is a famous formula called Lévy's stochastic infinitesimal equation for a stochastic process X(t) expressed in the form [Formula: see text] We propose a generalization of this equation for a random field X(C) indexed by a contour C. Assume that the X(C) is homogeneous in a white noise x, say of degree n, we can then appeal to the classical ...
Hida, Takeyuki, Si, Si
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Markov random fields and gibbs random fields

Israel Journal of Mathematics, 1973
Spitzer has shown that every Markov random field (MRF) is a Gibbs random field (GRF) and vice versa when (i) both are translation invariant, (ii) the MRF is of first order, and (iii) the GRF is defined by a binary, nearest neighbor potential. In both cases, the field (iv) is defined onZ v, and (v) at anyxeZv, takes on one of two states.
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Random autoregression fields

Journal of Soviet Mathematics, 1989
See the review in Zbl 0593.60071.
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Invariant random boolean fields

Mathematical Notes of the Academy of Sciences of the USSR, 1969
In the set of finite binary sequences a Markov process is defined with discrete time in which each symbol of the binary sequence at time t+1 depends on the two neighboring symbols at time t. A proof is given of the existence and uniqueness of an invariant distribution, and its derivation is also given in a number of cases.
Belyaev, Yu. K., Gromak, Yu. I., Malyshev, V. A.   +2 more
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Structures in random fields: Gaussian fields

Physical Review A, 1992
We present two alternative methods for evaluating the probability densities of structures defined by d degrees of freedom in random fields. For Gaussian random fields, both differentiable and nondifferentiable, the application of these methods is considered in detail.
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