Detecting Good Public Policy Rationales for the American Rule: A Response to the Ill-Conceived Calls for “Loser Pays” Rules

Several critiques have been leveled at the American Rule—that is, the rule that each party to a lawsuit should pay for its attorneys. Some claim that there were no principled justifications offered by the nineteenth-century jurists who authored the opinions marking the rule’s origins. Instead, these jurists only cited their states’ “taxable costs” statutes. Others claim that the American Rule—as well as its close relative, the contingency-fee contract—contributed to a “liability explosion” in that century. This Article offers a comprehensive examination of the origins of, rationales given for, and impact of the American Rule; then it evaluates instances in which the rule has faced legislative, judicial, and academic opposition

Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement

Recently, several hybrid approaches to quantum information emerged which utilize both continuous- and discrete-variable methods and resources at the same time. In this work, we investigate the bipartite hybrid entanglement between a finite-dimensional, discrete-variable quantum system and an infinite-dimensional, continuous-variable quantum system. A classification scheme is presented leading to a distinction between pure hybrid entangled states, mixed hybrid entangled states (those effectively supported by an overall finite-dimensional Hilbert space), and so-called truly hybrid entangled states (those which cannot be described in an overall finite-dimensional Hilbert space). Examples for states of each regime are given and entanglement witnessing as well as quantification are discussed. In particular, using the channel map of a thermal photon noise channel, we find that true hybrid entanglement naturally occurs in physically important settings. Finally, extensions from bipartite to multipartite hybrid entanglement are considered.Comment: 15 pages, 10 figures, final published version in Physical Review

Gender preferences for children revisited: new evidence from Germany

Empirical research investigating gender preferences for children and their implications for fertility decisions in advanced industrial societies is relatively scarce. Recent studies on this matter have presented ambiguous evidence regarding the existence as well as the direction such preferences can take. We use data from the most recent German General Social Survey (ALLBUS) to analyse determinants of the preferred sex composition of prospective offspring as well as the influence of the sex of previous children on the respondent´s fertility intentions and their actual behaviour at different parities. We find that the socio-demographic determinants of gender preferences differ when childless respondents are compared with parents, and that boys are preferred as a first child. Although an ultimate sex composition that includes at least one son and one daughter is generally favoured, there is no evidence for a behaviourally relevant gender preference in Germany, when higher parities are considered.Germany, fertility, sex preference

Positional information readout in Ca2+Ca^{2+} signaling

Living cells respond to spatial signals. Signal transmission to the cell interior often involves the release of second messengers like $Ca^{2+}$ . They will eventually trigger a physiological response by activating kinases that in turn activate target proteins through phosphorylation. Here, we investigate theoretically how positional information can be accurately read out by protein phosphorylation in spite of rapid second messenger diffusion. We find that accuracy is increased by binding of the kinases to the cell membrane prior to phosphorylation and by increasing the rate of $Ca^{2+}$ loss from the cell interior. These findings could explain some salient features of conventional protein kinases C

Rich Ground State Chemical Ordering in Nanoparticles: Exact Solution of a Model for Ag-Au Clusters

We show that nanoparticles can have very rich ground state chemical order. This is illustrated by determining the chemical ordering of Ag-Au 309-atom Mackay icosahedral nanoparticles. The energy of the nanoparticles is described using a cluster expansion model, and a Mixed Integer Programming (MIP) approach is used to find the exact ground state configurations for all stoichiometries. The chemical ordering varies widely between the different stoichiometries, and display a rich zoo of structures with non-trivial ordering.Comment: Revised version. New figure added, discussion expanded, some material moved into supplementary fil

Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials

Neural message passing on molecular graphs is one of the most promising methods for predicting formation energy and other properties of molecules and materials. In this work we extend the neural message passing model with an edge update network which allows the information exchanged between atoms to depend on the hidden state of the receiving atom. We benchmark the proposed model on three publicly available datasets (QM9, The Materials Project and OQMD) and show that the proposed model yields superior prediction of formation energies and other properties on all three datasets in comparison with the best published results. Furthermore we investigate different methods for constructing the graph used to represent crystalline structures and we find that using a graph based on K-nearest neighbors achieves better prediction accuracy than using maximum distance cutoff or the Voronoi tessellation graph