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pro vyhledávání: '"Goldberg, D"'
Anxious and non-anxious forms of major depression: familial, personality and symptom characteristics
Background: Earlier clinical studies have suggested consistent differences between anxious and non-anxious depression. The aim of this study was to compare parental pathology, personality and symptom characteristics in three groups of probands from t
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A39021
https://tud.qucosa.de/api/qucosa%3A39021/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A39021/attachment/ATT-0/
Autor:
Twelves, A. G.1,2 (AUTHOR) andrew.twelves@fmi.fi, Goldberg, D. N.2 (AUTHOR), Holland, P. R.3 (AUTHOR), Henley, S. F.2 (AUTHOR), Mazloff, M. R.4 (AUTHOR), Jones, D. C.3,5 (AUTHOR)
Publikováno v:
Journal of Geophysical Research. Oceans. Sep2024, Vol. 129 Issue 9, p1-22. 22p.
Publikováno v:
In Gastro Hep Advances 2022 1(5):686-688
Publikováno v:
Cancer Causes & Control, 2020 Dec 01. 31(12), 1115-1128.
Externí odkaz:
https://www.jstor.org/stable/48730597
Akademický článek
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Autor:
Groener, A. M., Goldberg, D. M.
Publikováno v:
The Astrophysical Journal, 2014, 795, 153
We study the intrinsic shape and alignment of isodensities of galaxy cluster halos extracted from the MultiDark MDR1 cosmological simulation. We find that the simulated halos, are extremely prolate on small scales, and increasingly spherical on large
Externí odkaz:
http://arxiv.org/abs/1405.2035
Publikováno v:
Mon.Not.Roy.Astron.Soc. 365 (2006) 414-428
Flexion is the significant third-order weak gravitational lensing effect responsible for the weakly skewed and arc-like appearance of lensed galaxies. Here we demonstrate how flexion measurements can be used to measure galaxy halo density profiles an
Externí odkaz:
http://arxiv.org/abs/astro-ph/0504478
Genetic algorithms (GAs) that solve hard problems quickly, reliably and accurately are called competent GAs. When the fitness landscape of a problem changes overtime, the problem is called non--stationary, dynamic or time--variant problem. This paper
Externí odkaz:
http://arxiv.org/abs/cs/0502021
This paper derives a population sizing relationship for genetic programming (GP). Following the population-sizing derivation for genetic algorithms in Goldberg, Deb, and Clark (1992), it considers building block decision making as a key facet. The an
Externí odkaz:
http://arxiv.org/abs/cs/0502020
Niching enables a genetic algorithm (GA) to maintain diversity in a population. It is particularly useful when the problem has multiple optima where the aim is to find all or as many as possible of these optima. When the fitness landscape of a proble
Externí odkaz:
http://arxiv.org/abs/cs/0502022