The development of social class sensitive proxies for infant mortality at the PCT level: An appraisal of candiate indicators for the commission for health improvement

The main aim of the work is to identify social class-sensitive proxies for infant mortality at Primary Care Trust level that could be used in the CHI performance ratings process for PCTs in 2003/4

A Framework to Measure the Value of Public Health Services

To develop a framework that public health practitioners could use to measure the value of public health services. Data Sources . Primary data were collected from August 2006 through March 2007. We interviewed ( n =46) public health practitioners in four states, leaders of national public health organizations, and academic researchers. Study Design . Using a semi-structured interview protocol, we conducted a series of qualitative interviews to define the component parts of value for public health services and identify methodologies used to measure value and data collected. Data Collection/Extraction Methods . The primary form of analysis is descriptive, synthesizing information across respondents as to how they measure the value of their services. Principal Findings . Our interviews did not reveal a consensus on how to measure value or a specific framework for doing so. Nonetheless, the interviews identified some potential strategies, such as cost accounting and performance-based contracting mechanisms. The interviews noted implementation barriers, including limits to staff capacity and data availability. Conclusions . We developed a framework that considers four component elements to measure value: external factors that must be taken into account (i.e., mandates); key internal actions that a local health department must take (i.e., staff assessment); using appropriate quantitative measures; and communicating value to elected officials and the public.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/74681/1/j.1475-6773.2009.01013.x.pd

Trajectory-Following and Off-Tracking Minimization of Long Combination Vehicles: A Comparison Between Nonlinear and Linear Model Predictive Control

In this paper, we compared the linear and nonlinear motion prediction models of a long combination vehicle (LCV). We designed a nonlinear model predictive control (NMPC) for trajectory-following and off-tracking minimisation of the LCV. The used prediction model allowed coupled longitudinal and lateral dynamics together with the possibility of a combined steering, propulsion and braking control of those vehicles in long prediction horizons and in all ranges of forward velocity. For LCVs where the vehicle model is highly nonlinear, we showed that the control actions calculated by a linear time-varying model predictive control (LTV-MPC) are relatively close to those obtained by the NMPC if the guess linearisation trajectory is sufficiently close to the nonlinear solution, in contrast to linearising for specific operating conditions that limit the generality of the designed function. We discussed how those guess trajectories can be obtained allowing off-line fixed time-varying model linearisation that is beneficial for real-time implementation of MPC in LCVs with long prediction horizons. The long prediction horizons are necessary for motion planning and trajectory-following of LCVs to maintain stability and tracking quality, e.g. by optimally reducing the speed prior to reaching a curve, and by generating control actions within the actuators limits

Real-time Predictive Energy Management of Hybrid Electric Heavy Vehicles by Sequential Programming

With the objective of reducing fuel consumption, this paper presents real-time predictive energy management of hybrid electric heavy vehicles. We propose an optimal control strategy that determines the power split between different vehicle power sources and brakes. Based on the model predictive control (MPC) and sequential programming, the optimal trajectories of the vehicle velocity and battery state of charge are found for upcoming horizons with a length of 5-20 km. Then, acceleration and brake pedal positions together with the battery usage are regulated to follow the requested speed and state of charge that is verified using a vehicle plant model. The main contribution of this paper is the development of a sequential linear program for predictive energy management that is faster and simpler than sequential quadratic programming in tested solvers and gives trajectories that are very close to the best trajectories found by nonlinear programming. The performance of the method is also compared to two different sequential quadratic programs

Computationally Efficient Nonlinear One-and Two-Track Models for Multitrailer Road Vehicles

This paper presents nonlinear mathematical models of one-and two-track multitrailer vehicles. We derive nonlinear equations of motion in the form of a system of implicit ordinary differential equations (ODEs) by using Lagrangian mechanics. The system of ODEs has the minimum number of states and equations that enables efficient computations yet maintains the most important nonlinear vehicle dynamic behavior and allows actuator coordination and energy consumption evaluation. As examples, we build different models of a 4-unit long combination vehicle, i.e., two-track 11-axle and single-track 6-axle nonlinear models as well as a linear single-track 6-axle model. We compare the performance of these models to experimental data of different driving maneuvers. The nonlinear single-track model demonstrates close dynamic behavior to the experiment, which makes it an efficient alternative to the two-track model. The vehicle equations can be generated automatically by using the code provided in this paper and subsequently used for conducting frequency analysis, evaluating energy consumption, deriving performance measures from simulations, and facilitating optimal control applications that involve combined steering, braking and propulsion control

Making Anti-de Sitter Black Holes

It is known from the work of Banados et al. that a space-time with event horizons (much like the Schwarzschild black hole) can be obtained from 2+1 dimensional anti-de Sitter space through a suitable identification of points. We point out that this can be done in 3+1 dimensions as well. In this way we obtain black holes with event horizons that are tori or Riemann surfaces of genus higher than one. They can have either one or two asymptotic regions. Locally, the space-time is isometric to anti-de Sitter space.Comment: LaTeX, 10 pages, 6 postscript figures, uses epsf.te

FORTE satellite constraints on ultra-high energy cosmic particle fluxes

The FORTE (Fast On-orbit Recording of Transient Events) satellite records bursts of electromagnetic waves arising from near the Earth's surface in the radio frequency (RF) range of 30 to 300 MHz with a dual polarization antenna. We investigate the possible RF signature of ultra-high energy cosmic-ray particles in the form of coherent Cherenkov radiation from cascades in ice. We calculate the sensitivity of the FORTE satellite to ultra-high energy (UHE) neutrino fluxes at different energies beyond the Greisen-Zatsepin-Kuzmin (GZK) cutoff. Some constraints on supersymmetry model parameters are also estimated due to the limits that FORTE sets on the UHE neutralino flux. The FORTE database consists of over 4 million recorded events to date, including in principle some events associated with UHE neutrinos. We search for candidate FORTE events in the period from September 1997 to December 1999. The candidate production mechanism is via coherent VHF radiation from a UHE neutrino shower in the Greenland ice sheet. We demonstrate a high efficiency for selection against lightning and anthropogenic backgrounds. A single candidate out of several thousand raw triggers survives all cuts, and we set limits on the corresponding particle fluxes assuming this event represents our background level.Comment: added a table, updated references and Figure 8, this version is submitted to Phys. Rev.

Size-Weight Illusion: A Proof of Concept

Hypotheses - SWI will be present in full body squat with more force being produced through the lower extremity on the side that has the larger cube initially, with more vertical displacement of the large cube side as well - Pre lift predictions will bias the larger cube, while post predictions will bias the smaller cube - We also anticipate a larger vertical displacement on the side with the larger box following the fatigue protoco

Needs for Physical Models and Related Methods for Development of Automated Road Vehicles

Road vehicle automation is a trendy topic in research and media. Some automation such as adaptive cruise control and lane keeping is already on market, while totally driverless vehicles in real everyday transportation tasks is still only a vision. How far the products will reach and when can be debated, but any step forward will benefit of, or need, support of modelling formats and related methods.The presentation will explain typical functional/control architecture for vehicles and then focus on development of the partitions Traffic Situation Management and Vehicle Motion Management, assuming that the partition Environment Observation (image processing etc.) comes in place to a certain known maturity. Models will be used with methods for on-line optimization, on-line predictive simulation, virtual off-line verification for right and faulty function, system safety, simulations for legal assessment of long combination vehicles, etc. A goal for novel methods is that, with physical non-causal models, one can avoid some of the enormous amount of verification simulations needed if only input/output (fixed causality) models are used.Examples from heavy vehicles and passenger cars will be given; what is achieved and what are the challenges for next steps