Inequality Rediscovered

Widespread recognition that economic inequality has been growing for forty years in most of the developed world, and in fact has tended to grow across most of the history of modern economies, shows that the period 1945-1973, when inequality of wealth and income shrank, was a marked anomaly in historical experience. At the time, however, the anomalous period of equality seemed to vindicate a long history of optimism about economic life: that growth would overcome meaningful scarcity and usher in an egalitarian and humanistic period that could almost qualify as post-economic. This has not been the experience of the last four decades. In this intellectual history of the anomalous period, we trace the main lines of that optimism and its undoing

The Original Theory of Constitutionalism

The U.S. Constitution embodies a conception of democratic sovereignty that has been substantially forgotten and obscured in today’s commentary. Recovering this original idea of constitution-making shows that today’s originalism is, ironically, unfaithful to its origins in an idea of self-rule that prized both the initial ratification of fundamental law and the political community’s ongoing power to reaffirm or change it. This does not mean, however, that living constitutionalism better fits the original conception of democratic self-rule. Rather, because the Constitution itself makes amendment practically impossible, it all but shuts down the very form of democratic sovereignty that authorizes it. No interpretive strategy succeeds in overcoming the dilemma of a constitution that at once embodies and prohibits democratic sovereignty

Using formal game design methods to embed learning outcomes into game mechanics and avoid emergent behaviour

This paper offers an approach to designing game based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al, 2004) and the elemental tetrad (Schell, 2008) model for game design. A case for game based learning as an active and social learning experience is presented including arguments from both teachers and game designers concerning the value of games as learning tools. The MDA model is introduced with a classic game- based example and a non-game based observation of human behaviour demonstrating a negative effect of extrinsic motivators (Pink, 2011) and the need to closely align or embed learning outcomes into game mechanics in order to deliver an effective learning experience. The MDA model will then be applied to create a game based learning experience with the goal of teaching some of the aspects of using source code control to groups of Computer Science students. First, clear aims in terms of learning outcomes for the game are set out. Following the learning outcomes the iterative design process is explained with careful consideration and reflection on the impact of specific design decisions on the potential learning experience, and the reasons those decisions have been made and where there may be conflict between mechanics contributing to learning and mechanics for reasons of gameplay. The paper will conclude with an evaluation of results from a trial of computer science students and staff, and the perceived effectiveness of the game at delivering specific learning outcomes, and the approach for game design will be assessed

Intelligent Based Terrain Preview Controller for a 3-axle Vehicle

Presented at 13th International Symposium on Advanced Vehicle Control, AVEC'16; Munich 13-16/09/2016The paper presents a six-wheel half longitudinal model and the design of a dual level control architecture. The first (top) level is designed using a Sugeno fuzzy inference feedforward architecture with and without preview. The second level of controllers are locally managing each wheel for each axle. As the vehicle is moving forward the front wheels and suspension units will have less time to respond when compared to the middle and rear units, hence a preview sensor is used to compensate. The paper shows that the local active suspensions together with the Sugeno Fuzzy, (locally optimised using subtractive clustering), Feedforward control strategy is more effective and this architecture has resulted in reducing the sprung mass vertical acceleration and pitch accelerations

Introduction: Law and Neoliberalism

The concept of neoliberalism has been influential in the humanities and interpretive social sciences, but it has little foothold in legal scholarship, and its very coherence has been controversial, as it is often a polemical term. In this Introduction to a special issue of Law and Contemporary Problems, we argue for a meaning of neoliberalism that can help to organize the stakes of various areas of law while also showing the usefulness of the term more generally. We define neoliberalism as an overlapping set of arguments, value commitments, predispositions, and ways of framing problems that are unified by the context and purpose of their use: Neoliberal claims serve to protect and expand market imperatives in a persistent political conflict between those imperatives and countervailing democratic demands for values such as security, dignity, fairness, and solidarity. Our definition of neoliberalism helps to tie together various public and private-law areas by showing how market and democratic imperatives are in conflict there, and how law is mediating those conflicts. Legal scholarship, then, needs the concept of neoliberalism. But a useful theory of neoliberalism also needs law: as legal realism showed, and sophisticated economists agree, markets are not natural phenomena, but products of legal choices. Therefore, the contexts of conflict in which neoliberalism does its work are always specified in law

Topography Experiment (TOPEX) Software Document Series Volume 7: TOPEX Mission Radar Altimeter Engineering Assessment Report, February 1994

This document describes the GSFC/WFF analysis of the on-orbit engineering data from the TOPEX radar altimeter, to establish altimeter performance. In accordance with Project guidelines, neither surface truth nor precision orbital data are used for the engineering assessment of the altimeter. The use of such data would imply not only a more intensive and complete performance evaluation, but also a calibration. Such evaluations and.calibrations are outside the scope of this document and will be presented in a separate Verification Report

Department of Homeland Security Science and Technology Directorate: Developing Technology to Protect America

In response to a congressional mandate and in consultation with Department of Homeland Security's (DHS) Science and Technology Directorate (S&T), the National Academy conducted a review of S&T's effectiveness and efficiency in addressing homeland security needs. This review included a particular focus that identified any unnecessary duplication of effort, and opportunity costs arising from an emphasis on homeland security-related research. Under the direction of the National Academy Panel, the study team reviewed a wide variety of documents related to S&T and homeland security-related research in general. The team also conducted interviews with more than 200 individuals, including S&T officials and staff, officials from other DHS component agencies, other federal agencies engaged in homeland security-related research, and experts from outside government in science policy, homeland security-related research and other scientific fields.Key FindingsThe results of this effort indicated that S&T faces a significant challenge in marshaling the resources of multiple federal agencies to work together to develop a homeland security-related strategic plan for all agencies. Yet the importance of this role should not be underestimated. The very process of working across agencies to develop and align the federal homeland security research enterprise around a forward-focused plan is critical to ensuring that future efforts support a common vision and goals, and that the metrics by which to measure national progress, and make changes as needed, are in place

Optimal control of motorsport differentials

Modern motorsport limited slip differentials (LSD) have evolved to become highly adjustable, allowing the torque bias that they generate to be tuned in the corner entry, apex and corner exit phases of typical on-track manoeuvres. The task of finding the optimal torque bias profile under such varied vehicle conditions is complex. This paper presents a nonlinear optimal control method which is used to find the minimum time optimal torque bias profile through a lane change manoeuvre. The results are compared to traditional open and fully locked differential strategies, in addition to considering related vehicle stability and agility metrics. An investigation into how the optimal torque bias profile changes with reduced track-tyre friction is also included in the analysis. The optimal LSD profile was shown to give a performance gain over its locked differential counterpart in key areas of the manoeuvre where a quick direction change is required. The methodology proposed can be used to find both optimal passive LSD characteristics and as the basis of a semi-active LSD control algorithm

Quantifying Cerebellum Grey Matter and White Matter Perfusion Using Pulsed Arterial Spin Labeling

To facilitate quantification of cerebellum cerebral blood flow (CBF), studies were performed to systematically optimize arterial spin labeling (ASL) parameters for measuring cerebellum perfusion, segment cerebellum to obtain separate CBF values for grey matter (GM) and white matter (WM), and compare FAIR ASST to PICORE. Cerebellum GM and WM CBF were measured with optimized ASL parameters using FAIR ASST and PICORE in five subjects. Influence of volume averaging in voxels on cerebellar grey and white matter boundaries was minimized by high-probability threshold masks. Cerebellar CBF values determined by FAIR ASST were 43.8 ± 5.1 mL/100 g/min for GM and 27.6 ± 4.5 mL/100 g/min for WM. Quantitative perfusion studies indicated that CBF in cerebellum GM is 1.6 times greater than that in cerebellum WM. Compared to PICORE, FAIR ASST produced similar CBF estimations but less subtraction error and lower temporal, spatial, and intersubject variability. These are important advantages for detecting group and/or condition differences in CBF values