1,148 research outputs found
Long-run Patterns of Labour Market Polarisation: Evidence from German Micro Data
The past four decades have witnessed dramatic changes in the structure of employment. In particular, the rapid increase in computational power has led to large-scale reductions in employment in jobs that can be described as intensive in routine tasks. These jobs have been shown to be concentrated in middle skill occupations. A large literature on labour market polarisation characterises and measures these processes at an aggregate level. How- ever to date there is little information regarding the individual worker adjustment processes related to routine- biased technological change. Using an administrative panel data set for Germany, we follow workers over an ex- tended period of time and provide evidence of both the short-term adjustment process and medium-run effects of routine task intensive job loss at an individual level. We initially demonstrate a marked, and steady, shift in em- ployment away from routine, middle-skill, occupations. In subsequent analysis, we demonstrate how exposure to jobs with higher routine task content is associated with a reduced likelihood of being in employment in both the short term (after one year) and medium term (five years). This employment penalty to routineness of work has increased over the past four decades. More generally, we demonstrate that routine task work is associated with reduced job stability and more likelihood of experiencing periods of unemployment. However, these negative ef- fects of routine work appear to be concentrated in increased employment to employment, and employment to unemployment transitions rather than longer periods of unemployment
Universality of weakly bound dimers and Efimov trimers close to Li-Cs Feshbach resonances
We study the interspecies scattering properties of ultracold Li-Cs mixtures
in their two energetically lowest spin channels in the magnetic field range
between 800 G and 1000 G. Close to two broad Feshbach resonances we create
weakly bound LiCs dimers by radio-frequency association and measure the
dependence of the binding energy on the external magnetic field strength. Based
on the binding energies and complementary atom loss spectroscopy of three other
Li-Cs s-wave Feshbach resonances we construct precise molecular singlet and
triplet electronic ground state potentials using a coupled-channels
calculation. We extract the Li-Cs interspecies scattering length as a function
of the external field and obtain almost a ten-fold improvement in the precision
of the values for the pole positions and widths of the s-wave Li-Cs Feshbach
resonances as compared to our previous work [Pires \textit{et al.}, Phys. Rev.
Lett. \textbf{112}, 250404 (2014)]. We discuss implications on the Efimov
scenario and the universal geometric scaling for LiCsCs trimers
Awareness & Access Matter: Making Professional Associations Available to Support Literacy Teachers’ Ongoing PL
Literacy professional associations offer members a wide range of support and services and historically play important roles in literacy teachers’ ongoing professional learning. Despite many benefits, membership in professional associations, including literacy groups, has declined. This article explores possible factors for decreases (changes to PL, technology, & generational mix of teaching force), before adding others: two emergent themes (awareness and access) from related survey research with K-12 literacy teachers in a midwestern state. Suggestions are offered to stakeholders for ways to raise awareness and improve access to associations for literacy teachers – an important tool for ongoing literacy professional learning
Creation of a dipolar superfluid in optical lattices
We show that by loading a Bose-Einstein condensate (BEC) of two different
atomic species into an optical lattice, it is possible to achieve a
Mott-insulator phase with exactly one atom of each species per lattice site. A
subsequent photo-association leads to the formation of one heteronuclear
molecule with a large electric dipole moment, at each lattice site. The melting
of such dipolar Mott-insulator creates a dipolar superfluid, and eventually a
dipolar molecular BEC.Comment: 4 pages, 2 eps figure
Bayesian Numerical Integration with Neural Networks
Bayesian probabilistic numerical methods for numerical integration offer significant advantages over their non-Bayesian counterparts: they can encode prior information about the integrand, and can quantify uncertainty over estimates of an integral. However, the most popular algorithm in this class, Bayesian quadrature, is based on Gaussian process models and is therefore associated with a high computational cost. To improve scalability, we propose an alternative approach based on Bayesian neural networks which we call Bayesian Stein networks. The key ingredients are a neural network architecture based on Stein operators, and an approximation of the Bayesian posterior based on the Laplace approximation. We show that this leads to orders of magnitude speed-ups on the popular Genz functions benchmark, and on challenging problems arising in the Bayesian analysis of dynamical systems, and the prediction of energy production for a large-scale wind farm
Feshbach spectroscopy and scattering properties of ultracold Li+Na mixtures
We have observed 26 interspecies Feshbach resonances at fields up to 2050 G
in ultracold Li+Na mixtures for different spin-state combinations.
Applying the asymptotic bound-state model to assign the resonances, we have
found that most resonances have d-wave character. This analysis serves as
guidance for a coupled-channel calculation, which uses modified interaction
potentials to describe the positions of the Feshbach resonances well within the
experimental uncertainty and to calculate their widths. The scattering length
derived from the improved interaction potentials is experimentally confirmed
and deviates from previously reported values in sign and magnitude. We give
prospects for Li+Na and predict broad Feshbach resonances suitable
for tuning.Comment: 8 pages, 4 figures, version as published in PR
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