'The Aftermath of the Annan Plan Referendums' Cross-Voting Moderation for Cyprus

This article examines recent developments in the Cyprus negotiations and suggests a number of changes to the proposed electoral system. Specifically, cross-voting and other electoral methods that encourage coalition-building across ethnic communities might add significantly to the functionality of the Annan Plan. Combined with other innovative mechanisms already in the plan, cross-voting could force political parties to seriously take into account the interests and concerns of the two Cypriot communities, an element that is currently missing from both the Turkish Cypriot (TC) and Greek Cypriot (GC) political systems. Special conditions on the island, as well as the way most political parties operated in the critical pre-April 2004 referendum period, suggest the need for this amendment. Although this study respects the consociational logic of the Annan Plan, it supplements consociationalism with elements that foster integration and inter-dependence between the two communities and their voters. The article also reviews the postreferendum developments in Cyprus which might have worrisome future implications, not only for its two communities, but also for EU enlargement in general. Cyprus both holds one of the keys to Turkey's entrance into the EU and is a litmus test for the Euro-Atlantic nexus and its capacity to pacify and integrate ethnically divided societies in Europe and elsewhere.

Statistical Monitoring of Dynamic Multivariate Processes: Part I: Modeling Auto- and Cross-Correlation

The work in this paper is of particular significance since it considers the problem of modelling cross- and auto-correlation in statistical process monitoring. The presence of both types of correlation can lead to fault insensitivity or false alarms, although in published literature to date, only autocorrelation has been broadly considered. The proposed method, which uses a Kalman innovation model, effectively removes both correlations. The paper (and Part 2 [2]) has emerged from work supported by EPSRC grant GR/S84354/01 and is of direct relevance to problems in several application areas including chemical, electrical, and mechanical process monitoring.

Prescription of Epinephrine Auto-injectors - Can we reach a consensus?

A consensus view of Irish Clinical Immunologists as to when auto injection syringes of adrenaline should be prescribed

UK Power Sector Challenge to National Allocation Plan Under the EU Emissions Trading Scheme Refused by the European Court of Justice

In Case T-130/06 Drax Power and others v European Commission, the Court of First Instance held that an application by Drax Power and others for annulment of Commission Decision (C(2006)426 final of 22 February 2006 concerning a proposed amendment to the National Allocation Plan notified by the UK in accordance with the EU Emissions Trading Directive was inadmissable. The Court ruled that the applicants could not be considered to be 'directly concerned' by the contested decision within the meaning of the fourth paragraph of Article 230 of the European Treaty, on legal standing: 'Any natural or legal person may, under the same conditions, institute proceedings against a decision addressed to that person or against a decision, which, although in the form of a regulation or a decision addressed to another persion, is of direct and individual concern to the former...'

Application of auto-associative neural networks to transient fault detection in an IC engine

The tailpipe emissions from automotive engines have been subject to steadily reducing legislative limits. This reduction has been achieved through the addition of sub-systems to the basic four-stroke engine which thereby increases its complexity. To ensure the entire system functions correctly, each system and / or sub-systems needs to be continuously monitored for the presence of any faults or malfunctions. This is a requirement detailed within the On-Board Diagnostic (OBD) legislation. To date, a physical model approach has been adopted by me automotive industry for the monitoring requirement of OBD legislation. However, this approach has restrictions from the available knowledge base and computational load required. A neural network technique incorporating Multivariant Statistical Process Control (MSPC) has been proposed as an alternative method of building interrelationships between the measured variables and monitoring the correct operation of the engine. Building upon earlier work for steady state fault detection, this paper details the use of non-linear models based on an Auto-associate Neural Network (ANN) for fault detection under transient engine operation. The theory and use of the technique is shown in this paper with the application to the detection of air leaks within the inlet manifold system of a modern gasoline engine whilst operated on a pseudo-drive cycle. Copyright © 2007 by ASME.