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Resonance scattering techniques are very useful for high-resolution atomic spectroscopy. The applicability of these techniques has been much extended, particularly through the rapid development of tunable-laser technology. The use of a narrowband tunable laser, acting on a collimated atomic beam, gives a direct method enabling, for example, hyperfine structure and isotope shift studies. The intens
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Using Markov chain Monte Carlo methods for statistical inference is often troublesome in practice, because performance of the algorithm may hugely depend on the observed data, and what works well for one dataset may fail miserably for another. In this article, for spatial generalized linear mixed models (GLMMs), we discuss problems with algorithms previously used, and we construct an algorithm wit
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In this article I examine whether an influential theory of mechanisms proposed by Peter Machamer, Lindley Darden and Carl Craver can accommodate polygenic effects. This theory is both interesting and problematic, I will argue, because it ascribes a central role to activities. In it, activities are needed not only to constitute mechanisms but also to perform their causal role. These putative functi
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The first Swedish edition of Emanuel Swedenborg's manuscript in neurology from 1720
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I analyze the role of gender-sex-sexuality in school policies in Sweden; Canada; and Germany. Policies concerning young people’s negotiations of gender-sex-sexuality in schools draw on specific understandings of societal belonging and cohesion. Invariably such policies are part of national discourses regarding values and norms of gender and relationships; informed by concepts of ethnicized belongi
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This study uses heterogeneous panel Granger causality tests to investigate the causal relationships between quality of governance and economic growth at the provincial level in China during the reform era. I find a significant and positive effect of economic growth on subsequent quality of governance, largely driven by growth in the secondary sector, but no significant effect of quality of governa
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Wavelet networks (WNs) were introduced in 1992 as a combination of artificial neural radial basis function (RBF) networks and wavelet decomposition. Since then, however, WNs have received only a little attention. We believe that the potential of WNs has been generally underestimated. WNs have the advantage that the wavelet coefficients are directly related to the image data through the wavelet tra