995 research outputs found
A new Database of Parliamentary Debates in Ireland, 1922--2008
We present a new database of parliamentary debates and written answers in Dáil Éireann for the entire time period from the third Dáil in 1922 to the thirtieth Dáil in 2008. This database was built from the Official Records of the Houses of the Oireachtas. Unlike its original version, our database integrates information about debates and information about deputies into a single database. This database therefore allows to search and retrieve contributions from individual deputies of the Dáil (Teachta Dála or TD) and to combine information about TDs' parties and constituencies with the history of political speeches and written answers. In addition, our database facilitates the application of content analysis software such as Wordscore (Laver, Benoit and Garry, 2003) or Wordfish (Slapin and Proksch, 2008) and makes it possible to estimate TDs' policy preferences from speeches. In this paper we document the structure of the database and how it was generated. We furthermore demonstrate how political debates can be used in social science research through a series of examples. These include an analysis of the policy agenda in all budget speeches from 1922 to today, the estimation of speakers' policy positions in the 2008 budget debate, and the estimation of ministers' policy positions in the 26th government in 2002.parliamentary debates, policy point estimation, budget speeches, text analysis
Estimating Government Discretion in Fiscal Policy Making
Varieties of Capitalism (VoC) is a relatively new approach to describe macroeconomic differences across countries, classifying them into coordinated market economies (CMEs) and liberal market economies (LMEs). VoC already had a significant impact on the field but has been criticised for its lack of linkage to political systems. Recent studies focused on the similarities between CMEs and the Lijphartian consensus political systems, and LMEs and majoritarian political systems. One of the practical consequences of this classification is that governments in LMEs should enjoy more discretion over fiscal policy while governments in CMEs are more constrained in their decisions. In this paper we evaluate this proposition in two LME states -- Ireland and the UK -- where the latter is an example of a pure majoritarian state while the former bares several institutional characteristics of the consensus state (e.g. electoral system and coalition governments). We show that governments in both states enjoy relatively high degrees of discretion over fiscal policy, but that in Ireland policy outcomes are more well balanced in respect to interests represented by social partners. We thus provide empirical evidence that supports the classification proposed in the VoC approach. However, we also demonstrate that the context of decision-making has a crucial impact on the discretionary power of government, and that such context effects can change over time, even within the same system type.fiscal policy, computerised text analysis, EU Structural Funds, budgetary process
Games of Status and Discrininatory Contract
Following recent empirical evidence which indicates the importance of rank for the determination of workers’ wellbeing, this paper introduces status seeking preferences in the form of rank-dependent utility functions into a moral hazard framework with one firm and multiple workers, but no correlation in production. Workers’ concern for the rank of their wage in the firm’s wage distribution may induce the firm to offer discriminatory wage contracts when its aim is to induce all workers to expend effort.
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014
Topic models are widely used in natural language processing, allowing
researchers to estimate the underlying themes in a collection of documents.
Most topic models use unsupervised methods and hence require the additional
step of attaching meaningful labels to estimated topics. This process of manual
labeling is not scalable and suffers from human bias. We present a
semi-automatic transfer topic labeling method that seeks to remedy these
problems. Domain-specific codebooks form the knowledge-base for automated topic
labeling. We demonstrate our approach with a dynamic topic model analysis of
the complete corpus of UK House of Commons speeches 1935-2014, using the coding
instructions of the Comparative Agendas Project to label topics. We show that
our method works well for a majority of the topics we estimate; but we also
find that institution-specific topics, in particular on subnational governance,
require manual input. We validate our results using human expert coding
Learning a Structured Neural Network Policy for a Hopping Task
In this work we present a method for learning a reactive policy for a simple
dynamic locomotion task involving hard impact and switching contacts where we
assume the contact location and contact timing to be unknown. To learn such a
policy, we use optimal control to optimize a local controller for a fixed
environment and contacts. We learn the contact-rich dynamics for our
underactuated systems along these trajectories in a sample efficient manner. We
use the optimized policies to learn the reactive policy in form of a neural
network. Using a new neural network architecture, we are able to preserve more
information from the local policy and make its output interpretable in the
sense that its output in terms of desired trajectories, feedforward commands
and gains can be interpreted. Extensive simulations demonstrate the robustness
of the approach to changing environments, outperforming a model-free gradient
policy based methods on the same tasks in simulation. Finally, we show that the
learned policy can be robustly transferred on a real robot.Comment: IEEE Robotics and Automation Letters 201
Trajectory generation for multi-contact momentum-control
Simplified models of the dynamics such as the linear inverted pendulum model
(LIPM) have proven to perform well for biped walking on flat ground. However,
for more complex tasks the assumptions of these models can become limiting. For
example, the LIPM does not allow for the control of contact forces
independently, is limited to co-planar contacts and assumes that the angular
momentum is zero. In this paper, we propose to use the full momentum equations
of a humanoid robot in a trajectory optimization framework to plan its center
of mass, linear and angular momentum trajectories. The model also allows for
planning desired contact forces for each end-effector in arbitrary contact
locations. We extend our previous results on LQR design for momentum control by
computing the (linearized) optimal momentum feedback law in a receding horizon
fashion. The resulting desired momentum and the associated feedback law are
then used in a hierarchical whole body control approach. Simulation experiments
show that the approach is computationally fast and is able to generate plans
for locomotion on complex terrains while demonstrating good tracking
performance for the full humanoid control
Humanoid Momentum Estimation Using Sensed Contact Wrenches
This work presents approaches for the estimation of quantities important for
the control of the momentum of a humanoid robot. In contrast to previous
approaches which use simplified models such as the Linear Inverted Pendulum
Model, we present estimators based on the momentum dynamics of the robot. By
using this simple yet dynamically-consistent model, we avoid the issues of
using simplified models for estimation. We develop an estimator for the center
of mass and full momentum which can be reformulated to estimate center of mass
offsets as well as external wrenches applied to the robot. The observability of
these estimators is investigated and their performance is evaluated in
comparison to previous approaches.Comment: Submitted to the 15th IEEE RAS Humanoids Conference, to be held in
Seoul, Korea on November 3 - 5, 201
Exploring the properties of titin spring elements in whole myofibrils
INTRODUCTIONTitin is the largest protein in animals and is primarily found in the sarcomeres of myofibrils. Titin acts as a spring anchored by actin at the z-line and holding myosin filaments centred in sarcomeres. Titin has long been accepted as a major contributor to passive force in myofibrils. The most ground-breaking work on titin was done by Kellermayer et al. who found that at short and long lengths titin behaved elastically while at intermediate lengths it behaved visco-elastically which they attributed to the unfolding of Immunoglobulin (Ig) domains (1).While many studies have examined the passive stretching of whole myofibrils, there is little examining titin’s properties within its natural environment, the sarcomere. Because titin contributes up to 95% of the passive force in myofibrils, its properties are reflected in whole myofibrils (2). The purpose of this study was to test the idea that titin is elastic at long length when Ig domain unfolding and refolding is prevented.METHODSMuscle tissue was collected from rabbit psoas. Connective tissues were digested and myofibrils were mechanically separated. Isolated myofibrils were then attached to a rigid glass needle at one end to control lengths, while the other end of the myofibril was attached to a silicon nitrate lever with a stiffness of 68nN/um to measure the force.Myofibrils were set at a length of 2.7um/sarcomere and then stretched at 0.1um/(sarcomere x seconds) to 4.7um/sarcomere. The myofibrils were then held at that length for 120 seconds to allow Ig domain unfolding to reach a steady state. The myofibril was the stretched and relaxed in 10 cycles of 0.5um/sarcomere at a speed of 0.1um/(sarcomere x seconds). A total of 9 myofibrils were tested and analyzed.RESULTSAll nine myofibrils showed the same consistent behaviour (Figure 1). During the initial stretch force rose as length increased, and then gradually decreased during the 120 second stress relaxation. During the ten stretch-relaxation cycles a visco-elastic behaviour was observed as each cycle showed a small but distinct hysteresis. The force during stretch was always greater than the force during shortening, and forces were at a near steady-state for all ten cycles. It should also be noted that the force during the first relaxation cycle was much lower at the same length as the relaxation of all of the subsequent cycles. Figure 1. Graph typical of the tests, with force graphed versus length. A) initial stretch. B) the stress relaxation as force decreases and length increases over 120 seconds. C) shows the cycles of stretch relaxation in that order.DISCUSSION AND CONCLUSIONSThe results that we observed contradict our initial hypothesis as the elastic behaviour described by Kellermayer was not observed. This could be due to some unforeseen myofibrilar protein that contributes to the stiffness of the myofibril, however due to the long length, high force and quick period of recovery of stiffness seen in the myofibril other sarcomeric protiens are likely not responsible. We can also rule out refolding of Ig domains as work done by Kellermayer and our lab in the past corroborates their finding that this occurs slowly at shorter sarcomere lengths with little to no passive force. The work done by Kellermayer is very sound however and cannot just be dismissed. Therefore we are led to believe that this visco-elastic behaviour observed at long lengths in myofibrils is due to titin properties that present themselves in whole myofibrils. This may be caused by quick interactions between titin and other myofibrilar proteins that leads to a increase in stiffness at long lengths and high forces.REFERENCES1.   M. S. Z. Kellermayer, S. B. Smith, H. L. M. Granzier, C. Bustamante, Science 276, 1112 (1997).2.   J. A. Herzog, T. R. Leonard, A. Jinha, W. Herzog, J. Biomech. 45, 1893 (2012)
Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics
Recently several hierarchical inverse dynamics controllers based on cascades
of quadratic programs have been proposed for application on torque controlled
robots. They have important theoretical benefits but have never been
implemented on a torque controlled robot where model inaccuracies and real-time
computation requirements can be problematic. In this contribution we present an
experimental evaluation of these algorithms in the context of balance control
for a humanoid robot. The presented experiments demonstrate the applicability
of the approach under real robot conditions (i.e. model uncertainty, estimation
errors, etc). We propose a simplification of the optimization problem that
allows us to decrease computation time enough to implement it in a fast torque
control loop. We implement a momentum-based balance controller which shows
robust performance in face of unknown disturbances, even when the robot is
standing on only one foot. In a second experiment, a tracking task is evaluated
to demonstrate the performance of the controller with more complicated
hierarchies. Our results show that hierarchical inverse dynamics controllers
can be used for feedback control of humanoid robots and that momentum-based
balance control can be efficiently implemented on a real robot.Comment: appears in IEEE/RSJ International Conference on Intelligent Robots
and Systems (IROS), 201
Pattern Generation for Walking on Slippery Terrains
In this paper, we extend state of the art Model Predictive Control (MPC)
approaches to generate safe bipedal walking on slippery surfaces. In this
setting, we formulate walking as a trade off between realizing a desired
walking velocity and preserving robust foot-ground contact. Exploiting this
formulation inside MPC, we show that safe walking on various flat terrains can
be achieved by compromising three main attributes, i. e. walking velocity
tracking, the Zero Moment Point (ZMP) modulation, and the Required Coefficient
of Friction (RCoF) regulation. Simulation results show that increasing the
walking velocity increases the possibility of slippage, while reducing the
slippage possibility conflicts with reducing the tip-over possibility of the
contact and vice versa.Comment: 6 pages, 7 figure
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