Correction of the copper transport defect of Menkes patient fibroblasts by expression of two forms of the sheep Wilson ATPase

The Wilson disease (WD) protein (ATP7B) is a copper-transporting P-type ATPase that is responsible for the efflux of hepatic copper into the bile, a process that is essential for copper homeostasis in mammals. Compared with other mammals, sheep have a variant copper phenotype and do not efficiently excrete copper via the bile, often resulting in excessive copper accumulation in the liver. To investigate the function of sheep ATP7B and its potential role in the copper-accumulation phenotype, cDNAs encoding the two forms of ovine ATP7B were transfected into immortalised fibroblast cell lines derived from a Menkes disease patient and a normal control. Both forms of ATP7B were able to correct the copper-retention phenotype of the Menkes cell line, demonstrating each to be functional copper-transporting molecules and suggesting that the accumulation of copper in the sheep liver is not due to a defect in the copper transport function of either form of sATP7B.

Tracking the nomadic life of the eductional researcher: what future for feminist public intellecturals and the performative university?

Is the idea of the liberal university dead, has the postmodern university any chance of being emancipatory, has the theory–practice divide merely collapsed in an era of 'new knowledge work', or has the university just become one aspect of market states and global capitalism? Knowledge-based economies locate universities as central to the commodification and management of knowledge, while at the same time the legitimacy of the university and the academic as knowledge producers is challenged by postmodernist, feminist, post-colonial and indigenous claims within a wider trend towards the 'democratisation of knowledge' and a new educational instrumentalism and opportunism. What becomes of the educational researcher, and indeed their professional organisations, in this changing socio-political and economic scenario? Is our role one of policy service, policy critique, technical expert or public intellectual? In particular what place is there for feminist public intellectuals in a so-called era of post feminism and public–private convergence? The paper draws on feminist and critical perspectives to mount a case for the importance of the public intellectual in the performative postmodern university.

Challenges in translating scientific evidence into mandatory food fortification policy: an antipodean case study of the folate- neural tube defect relationship

Objective: To identify challenges in translating scientific evidence of a  nutrient and health relationship into mandatory food fortification policy.
Design: A case study approach was used in which available evidence  associated with the folate–neural tube defect relationship was reviewed against the Australia New Zealand Food Regulation Ministerial Council's Policy Guideline for mandatory food fortification. Results: Three particular challenges were identified. The first is knowing when and how to act in the face of scientific uncertainty. The second is knowing how to address the special needs of at-risk individuals without compromising the health and safety of the population as a whole. The third is to ensure that a policy is sufficiently monitored and evaluated. Conclusions: Despite the availability of compelling evidence of a relationship between a particular nutrient and a health outcome, a definitive policy response may not be apparent.  Judgement and interpretation inevitably play significant roles in influencing whether and how authorities translate scientific evidence into mandatory food fortification policy. In relation to the case study, it would be prudent to undertake a risk–benefit analysis of policy alternatives and to implement nutrition education activities to promote folic acid supplement use among the target group. Should mandatory folate fortification be implemented,  comprehensive monitoring and evaluation of this policy will be essential to know that it is implemented as planned and does more good than harm. In relation to mandatory food fortification policy-making around the world,  ongoing national nutrition surveys are required to complement national policy guidelines.

Evalutaion of the implementation of the folate-neural tube defect health claim and its impact on the availability of folate-fortified food in Australia

Objective: To evaluate the implementation of the folate-neural tube defect (NTD) health claim and its impact on the availability of folate-fortifed food in Australia.

Methods: During late 2005, a survey was conducted in 16 supermarkets across all Australian capital cities to identify the use of the folate-NTD health claim on the labels of the 128 food products listed in food standard 1.1A.2: 'Transitional standard - Health claims' and the number of products fortifed with folic acid.

Results: Seventy-nine per cent of existing listed food products were found and two of these were implementing the folate-NTD health claim. Forty-four per cent of these listed products, previously fortifed with folic acid, were no longer fortifed. One hundred and seventeen generally available food products were fortifed with folic acid, predominantly breakfast cereals (73%). Twenty-seven per cent of these folate-fortifed products were listed in the transitional standard.

Conclusions: The health claim was not used widely to inform women of child-bearing age of the importance of periconceptional folate intake. The increased availability of folate-fortifed products generally has occurred independently of the health claim. Defciencies in the verifcation system of the tested regulatory framework are identifed. The voluntary regulatory provisions for both folate fortifcation and the use of the health claim diminished the States' infuence over their implementation of public health tools.

Investigation of effective material properties in composites with internal defect or reinforcement particles

This paper is concerned with the investigation of the effective material properties of internally defective or particle-reinforced composites. An analysis was carried out with a novel method using the two-dimensional special finite element method mixing the concept of equivalent homogeneous materials. A formulation has been developed for a series of special finite elements containing an internal defect or reinforcement in order to assure the high accuracy especially in the vicinity of defects or reinforcements. The adoption of the special finite element can greatly simplify numerical modeling of particle-composites. The numerical result provides the effective material properties of particle-reinforced composite and explains that the size of particles has great influence on the material properties. Numerical examples also demonstrate the validity and versatility of the proposed method by comparing with existing results from literatures.

An active stereo vision-based learning approach for robotic tracking, fixating and grasping control

In this paper, an active stereo vision-based learning approach is proposed for a robot to track, fixate and grasp an object in unknown environments. First, the functional mapping relationships between the joint angles of the active stereo vision system and the spatial representations of the object are derived and expressed in a three-dimensional workspace frame. Next, the self-adaptive resonance theory-based neural networks and the feedforward neural networks are used to learn the mapping relationships in a self-organized way. Then, the approach is verified by simulation using the models of an active stereo vision system which is installed in the end-effector of a robot. Finally, the simulation results confirm the effectiveness of the present approach.

Precision missile guidance for systems intercepting at small attack angles : a H‡ tracking approach

This paper uses the H1 tracking ideas in the missile guidance problem. The controller performs as a Precision guidance controller for small desired attack angles although theoretically the formulas are valid (when intercepting a maneuvering target in a precision guidance point of view) only for the case of head on collision. The controller essentially navigates the missile in a unique relative arc that is de ned by the missile and target location and the desired attack angle.

Robust extended kalman filter applied to location tracking and trajectory prediction for PCS networks

Provisioning of real-time multimedia sessions over wireless cellular network poses unique challenges due to frequent handoff and rerouting of a connection. For this reason, the wireless networks with cellular architecture require efficient user mobility estimation and prediction. This paper proposes using robust extended Kalman filter (REKF) as a location heading altitude estimator of mobile user for next cell prediction in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm reduces the system complexity (compared to existing approach using pattern matching and Kalman filter) as it requires only two base station measurements or only the measurement from the closest base station. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model and more effective in comparison with the standard Kalman filter.

Robust parallel filtering for mobile agent tracking

In this paper we develop a robust method of target/mobile agent tracking involving two independent estimators with separate measurement systems. The outputs of the two estimators are combined using simple trigonometry (post-estimation data fusion) and provide a robust and reliable tracking path. We demonstrate that through the use of recent advances in robust set-value state estimation, our robust parallel filter approach performs well even when the individual filters do not. Brief comparisons with common data fusion methods are conducted in order to demonstrate the advantages of our parallel (post-estimation fusion) approach

Robust parallel filtering design of a swarm tracking system

Swarming networks of mobile autonomous agents require inter-agent position information in order perform various tasks. The primary control input for the majority of current control strategies is inter-agent distance information. In this paper we provide a robust parallel filter based tracking scheme that allows a mobile agent to track other multiple mobile agents. The distance, angle, and relative position is given in a direct target tracking output. This allows the mobile agent to decide which information is best suited for the particular objective

Radar target tracking via robust linear filtering

In this letter, we provide a robust version of a linear Kalman filter for target tracking based on a measurement conversion technique on the nonlinear radar measurements. We prove that the state estimation error is bounded in a probabilistic sense. We compare our approach with the current state of the art in converted radar measurement-based linear filtering.

Target tracking with range and bearing measurements via robust linear filtering

In this paper we provide a robust version of a linear Kalman filter for target tracking with nonlinear range and bearing measurements. Moreover, we prove that the state estimation error is bounded in a probabilistic sense. We compare our approach with the current state of the art in converted radar measurement based linear filtering.

Stereo-vision-based moving object tracking via robust linear filtering

Vision-based tracking sensors typically provide nonlinear measurements
of the targets Cartesian position and velocity state components. In this paper we derive linear measurements using an analytical measurement conversion technique which can be used with two (or more) vision sensors. We derive
linear measurements in the target’s Cartesian position and velocity components and we derive a robust version of a linear Kalman filter. We show that our linear robust filter significantly outperforms the extended Kalman Filter. Moreover, we prove that the state estimation error is bounded.