2,407 research outputs found

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

    Get PDF
    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

    Full text link
    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

    Get PDF
    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 respondentÂŽs 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

    CONSENT AND THE AMERICAN SOLDIER: THEORY VERSUS REALITY

    Get PDF

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

    Get PDF
    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
    • 

    corecore