Isomeric decay studies using a recoil mass separator

Microsecond isomers in the exotic proton-richN=82, 83 nuclei¹⁵³Yb,¹⁵³Lu,¹⁵⁴Lu and¹⁵⁴Hf have been identified byγ-ray spectroscopy following mass analysis of¹⁰²Pd+245 MeV⁵⁴Fe reaction products using the Daresbury Recoil Separator. The decays of the isomers, interpreted asπh ₁₁ ^2/n andπh ₁₁ ^2/n vf_7/2 states, are characterized. The reduced E2 transition rates indicate that half-filling of theπh_11/2 subshell occurs just belowZ=71, and results for theN=83 odd-odd isotones are also consistent with this finding.     

Active site model of cyclohexanone monooxygenase. 3. The case of benzyl sulfides bearing polar groups

The stereopreference of cyclohexanone monooxygenase for a series of benzyl methyl sulfides bearing in the p-position groups with different σ_p values has been rationalized by locating inside the enzyme active site model electron-rich and electron-poor regions.     

The low-spin structure of <Superscript>115</Superscript>Xe

The low-spin band structure of neutron-deficient ¹¹⁵ ₅₄Xe has been studied following a low-energy (212.3 MeV) ⁶⁰Ni(⁵⁸Ni,2pnγ) reaction performed at IReS, Strasbourg, with the Garel⁺ spectrometer. The relative excitation energies of νh_11/2 (isomeric), νg_7/2, and νd_5/2 bandheads have been established. Received: 23 March 2000     

Untangling Synergistic Effects of Intersecting Social Identities with Partial Information Decomposition

The theory of intersectionality proposes that an individual’s experience of society has aspects that are irreducible to the sum of one’s various identities considered individually, but are “greater than the sum of their parts”. In recent years, this framework has become a frequent topic of discussion both in social sciences and among popular movements for social justice. In this work, we show that the effects of intersectional identities can be statistically observed in empirical data using information theory, particularly the partial information decomposition framework. We show that, when considering the predictive relationship between various identity categories such as race and sex, on outcomes such as income, health and wellness, robust statistical synergies appear. These synergies show that there are joint-effects of identities on outcomes that are irreducible to any identity considered individually and only appear when specific categories are considered together (for example, there is a large, synergistic effect of race and sex considered jointly on income irreducible to either race or sex). Furthermore, these synergies are robust over time, remaining largely constant year-to-year. We then show using synthetic data that the most widely used method of assessing intersectionalities in data (linear regression with multiplicative interaction coefficients) fails to disambiguate between truly synergistic, greater-than-the-sum-of-their-parts interactions, and redundant interactions. We explore the significance of these two distinct types of interactions in the context of making inferences about intersectional relationships in data and the importance of being able to reliably differentiate the two. Finally, we conclude that information theory, as a model-free framework sensitive to nonlinearities and synergies in data, is a natural method by which to explore the space of higher-order social dynamics.