Development and licensing of bio-pharmaceuticals

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Sub-national responses to climate change in England:evidence from local area agreements

The machinery of governance to address climate change at the sub-national level in England continues to evolve. Drawing on documentary evidence and the views of civil servants and local authority officials from the English West Midlands, this article explores the process through an examination of the inclusion of climate change indicators in the recent round of Local Area Agreements (LAAs), negotiated between central government and local authorities and Local Strategic Partnerships. Considerable popularity has been accorded these indicators nationally, but there are important variations in the pattern of take up. Moreover, significant uncertainties surround the contribution of local measures to reduce CO2 emissions and the targets attached to measures to adapt to climate change are seen as undemanding. Conversely, the impending Carbon Reduction Commitment will act as a powerful incentive for public bodies to cut CO2 emissions from their estates. Although potentially contributing to greater coherence in tackling climate change, achieving collective action through LAAs will prove problematic.

Driving licensing renewal policy using neural network-based probabilistic decision support system

This paper investigates neural network-based probabilistic decision support system to assess drivers' knowledge for the objective of developing a renewal policy of driving licences. The probabilistic model correlates drivers' demographic data to their results in a simulated written driving exam (SWDE). The probabilistic decision support system classifies drivers' into two groups of passing and failing a SWDE. Knowledge assessment of drivers within a probabilistic framework allows quantifying and incorporating uncertainty information into the decision-making system. The results obtained in a Jordanian case study indicate that the performance of the probabilistic decision support systems is more reliable than conventional deterministic decision support systems. Implications of the proposed probabilistic decision support systems on the renewing of the driving licences decision and the possibility of including extra assessment methods are discussed.