Sortition, Rotation and Mandate: Conditions for Political Equality and Deliberative Reasoning

The proposal to create a chamber selected by sortition would extend this democratic procedure into the legislative branch of government. However, there are good reasons to believe that, as currently conceived by John Gastil and Erik Olin Wright, the proposal will fail to realize sufficiently two fundamental democratic goods, namely, political equality and deliberative reasoning. It is argued through analysis of its historic and contemporary application that sortition must be combined with other institutional devices, in particular, rotation of membership and limited mandate, in order to be democratically effective and to realize political equality and deliberative reasoning. An alternative proposal for a responsive sortition legislature is presented as more realistic and utopian: one that increases substantially the number of members, makes more extensive use of internal sortition and rotation, and recognizes the importance of establishing limited mandates

Indirect Cost Recovery Rates: Why Do They Differ?

This paper reviews the history of the federal government's indirect cost recovery system and empirically examines the determinants of IRC rates. We find that, ceteris paribas schools in the Northeast have higher ICR rates, as do schools with high administrative expenses, a disproportionate number of graduate students, and larger expenditures on physical plant. Private research universities have higher ICR rates than do public research universities, but other factors turn out to explain most of this difference. Institutional characteristics relating to the mix of operations, financial characteristics, and location all play an important role in the determination of this rate, implying that there are good economic reasons for much of the observed variation in ICR rates both between and within sectors.

A Comparison of U. S. and European University-Industry Relations in the Life Sciences

We draw on diverse data sets to compare the institutional organization of upstream life science research across the United States and Europe. Understanding cross-national differences in the organization of innovative labor in the life sciences requires attention to the structure and evolution of biomedical networks involving public research organizations (universities, government laboratories, nonprofit research institutes, and research hospitals), science-based biotechnology firms, and multinational pharmaceutical corporations. We use network visualization methods and correspondence analyses to demonstrate that innovative research in biomedicine has its origins in regional clusters in the United States and in European nations. But the scientific and organizational composition of these regions varies in consequential ways. In the United States, public research organizations and small firms conduct R&D across multiple therapeutic areas and stages of the development process. Ties within and across these regions link small firms and diverse public institutions, contributing to the development of a robust national network. In contrast, the European story is one of regional specialization with a less diverse group of public research organizations working in a smaller number of therapeutic areas. European institutes develop local connections to small firms working on similar scientific problems, while cross-national linkages of European regional clusters typically involve large pharmaceutical corporations. We show that the roles of large and small firms differ in the United States and Europe, arguing that the greater heterogeneity of the U. S. system is based on much closer integration of basic science and clinical development

Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions

Group-based social dominance hierarchies are of essential interest in animal behavior research. Studies often record aggressive interactions observed over time, and models that can capture such dynamic hierarchy are therefore crucial. Traditional ranking methods summarize interactions across time, using only aggregate counts. Instead, we take advantage of the interaction timestamps, proposing a series of network point process models with latent ranks. We carefully design these models to incorporate important characteristics of animal interaction data, including the winner effect, bursting and pair-flip phenomena. Through iteratively constructing and evaluating these models we arrive at the final cohort Markov-Modulated Hawkes process (C-MMHP), which best characterizes all aforementioned patterns observed in interaction data. We compare all models using simulated and real data. Using statistically developed diagnostic perspectives, we demonstrate that the C-MMHP model outperforms other methods, capturing relevant latent ranking structures that lead to meaningful predictions for real data

Environmental Fit: A Model for Assessing and Treating Problem Behavior Associated with Curricular Difficulties in Children with Autism Spectrum Disorders

Theoretical considerations suggest that problem behavior should increase when a child’s competency does not match the curricular demands of the environment (i.e., when there is poor environmental fit). In the present study, environmental fit was examined for six children with autism spectrum disorders. Results indicated that the children exhibited high rates of problem behavior associated with poor motor or academic competency. Curricular modifications resulted in (a) a decrease in the level of problem behavior, (b) an increase in the percentage of task steps completed correctly, and (c) improved affect. Adults who worked with the children reported ease of intervention techniques. The concept of environmental fit and its usefulness in guiding both assessment of and intervention for problem behavior are discussed

Expansion of the ligand knowledge base for chelating P,P-donor ligands (LKB-PP)

[Image: see text] We have expanded the ligand knowledge base for bidentate P,P- and P,N-donor ligands (LKB-PP, Organometallics2008, 27, 1372–1383) by 208 ligands and introduced an additional steric descriptor (nHe(8)). This expanded knowledge base now captures information on 334 bidentate ligands and has been processed with principal component analysis (PCA) of the descriptors to produce a detailed map of bidentate ligand space, which better captures ligand variation and has been used for the analysis of ligand properties

The Fundamental Plane of Radio Galaxies

We collected photometrical and dynamical data for 73 low red-shift (z<0.2) Radio Galaxies (LzRG) in order to study their Fundamental Plane (FP). For 22 sources we also present new velocity dispersion data, that complement the photometric data given in our previous study of LzRG (Govoni et al. 2000a). It is found that the FP of LzRG is similar to the one defined by non-active elliptical galaxies, with LzRG representing the brightest end of the population of early type galaxies. Since the FP mainly reflects the virial equilibrium condition, our result implies that the global properties of early--type galaxies (defining the FP) are not influenced by the presence of gas accretion in the central black hole. This is fully in agreement with the recent results in black hole demography, showing that virtually all luminous spheroidal galaxies host a massive black hole and therefore may potentially become active. We confirm and extend to giant ellipticals the systematic increase of the mass-to-light ratio with galaxy luminosity.Comment: 8 pages, 3 figures, accepted for publication in A&