Results 161 to 170 of about 139,795 (222)

TRENDY: gene regulatory network inference enhanced by transformer. [PDF]

Bioinformatics
Tian X, Patel Y, Wang Y.
europepmc   +1 more source

LBR and LAP2 mediate heterochromatin tethering to the nuclear periphery to preserve genome homeostasis. [PDF]

Nat Cell Biol
Lewis R, Sinigiani V, Maziak N, Koos K, Bersaglieri C, Zemp I, Ashiono C, Ciaudo C, Horvath P, Vaquerizas JM, Santoro R, Sharma P, Kutay U.   +12 more
europepmc   +1 more source

On the application of Euler deconvolution to the analytic signal

Geophysics, 2006
Abstract Standard Euler deconvolution is applied to potential-field functions that are homogeneous and harmonic. Homogeneity is necessary to satisfy the Euler deconvolution equation itself, whereas harmonicity is required to compute the vertical derivative from data collected on a horizontal plane, according to potential-field theory.
Maurizio Fedi, Giovanni Florio
exaly   +4 more sources

Multiridge Euler deconvolution [PDF]

Geophysical Prospecting, 2013
ABSTRACTPotential field interpretation can be carried out using multiscale methods. This class of methods analyses a multiscale data set, which is built by upward continuation of the original data to a number of altitudes conveniently chosen. Euler deconvolution can be cast into this multiscale environment by analysing data along ridges of potential ...
FLORIO, GIOVANNI, FEDI, MAURIZIO
openaire   +2 more sources

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Ratio-Euler deconvolution and its applications

Geophysical Prospecting, 2022
ABSTRACTEuler deconvolution of potential field data is widely applied to obtain the location of concealed sources automatically. A lot of improvements have been proposed to eliminate the dependence of Euler deconvolution on the structural index that are based on the use of high‐order derivatives of the potential field and, therefore, sensitive to data ...
Chun-Feng Li, Liang Huang, Henglei Zhang
exaly   +2 more sources

Avoidable Euler Errors – the use and abuse of Euler deconvolution applied to potential fields†

Geophysical Prospecting, 2014
ABSTRACTWindow‐based Euler deconvolution is commonly applied to magnetic and sometimes to gravity interpretation problems. For the deconvolution to be geologically meaningful, care must be taken to choose parameters properly. The following proposed process design rules are based partly on mathematical analysis and partly on experience.
Jörg Ebbing, Susan Webb
exaly   +2 more sources

An improved weighting Euler deconvolution for noisy data

Geophysics
ABSTRACT The routine Euler deconvolution estimates the source location from potential data without requiring additional constraint information, making it widely used in geophysical applications. Because derivative operators are used in the Euler deconvolutions, they are somewhat sensitive to noise in the data.
Henglei Zhang, Xiangyun Hu, Houpu Li
exaly   +2 more sources

Multiple-source Euler deconvolution

Geophysics, 1999
Abstract Rapid three-dimensional (3-D) source location methods can be extremely useful in framing a subsurface structural model from gravity or magnetic data. However, existing implementations of Euler deconvolution are limited to a single source in each window. This can be a significant limitation in areas of complex structure.
R. O. Hansen, Laura Suciu
openaire   +1 more source

New Discrimination Techniques for Euler Deconvolution

8th SAGA Biennial Technical Meeting and Exhibition, 2003
Euler deconvolution (Thompson, 1982; Reid et al, 1990) has come into wide use as an aid to interpreting profile or gridded magnetic survey data. It provides automatic estimates of source location and depth.
Desmond FitzGerald, Alan Reid, Philip McInerney   +2 more
openaire   +2 more sources

Euler deconvolution of gravity data

SEG Technical Program Expanded Abstracts 2003, 2003
Euler deconvolution of both profile and gridded magnetic data (Thompson, 1982; Reid et al, 1990) has found wide application. It has been implemented by many organisations and individuals and is commercially available from several suppliers. Applications to gravity are fewer. Marson & Klingele (1993) applied it to gravity vertical gradients.
Reid, Alan, Fitzgerald, Desmond, Mcinerny, Philip   +2 more
openaire   +1 more source