FORMULATING ENVIRONMENTAL AND SOCIAL INDICATORS FOR SUSTAINABLE DEVELOPMENT. ESRI Policy Research Series, 1996

The programme of the present government includes a commitment to "working towards a new set of indicators of sustainable economic development which will take account of environmental as well as social factors". The central concern is to go beyond existing measures of economic activity produced within the national accounting framework (such as GDP or national income) in order to develop a more complete picture of economic and social progress in Ireland. The present publication provides an overview of the issues and options which arise in connection with this commitment, and suggests steps which might be taken in pursuing it. The publication is set out in two largely separate essays, one dealing with environmental indicators, the other with social indicators. While it would be desirable to deal with those two topics together, the differences in the intellectual and institutional traditions from which they have developed are such that an integrated approach has not yet emerged. In the final section of the present summary, the recommendations emerging from the two essays are brought together, though they are presented separately in the body of the report

Interferon-alpha-induced deficits in novel object recognition are rescued by chronic exercise

The anti-viral drug interferon-alpha (IFN-alpha) is widely-known to induce psychiatric and cognitive effects in patients. Previous work has shown that physical exercise can have a positive effect against brain insult. We investigated the effects of a clinically-comparable treatment regime of IFN-alpha on cognitive function in male Wistar rats and assessed the impact of chronic treadmill running on the deficits generated by IFN-alpha. We found that IFN-alpha induced significant impairments in performance on both spatial novelty and object novelty recognition. Chronic forced exercise did not protect against IFN-alpha-induced learning deficits in reactivity to spatial change, but did restore the capacity for novel object recognition in IFN-alpha-treated animals

Natural Cycles, Gases

The major gaseous components of the exhaust of stratospheric aircraft are expected to be the products of combustion (CO2 and H2O), odd nitrogen (NO, NO2 HNO3), and products indicating combustion inefficiencies (CO and total unburned hydrocarbons). The species distributions are produced by a balance of photochemical and transport processes. A necessary element in evaluating the impact of aircraft exhaust on the lower stratospheric composition is to place the aircraft emissions in perspective within the natural cycles of stratospheric species. Following are a description of mass transport in the lower stratosphere and a discussion of the natural behavior of the major gaseous components of the stratospheric aircraft exhaust

A rotation-equivariant convolutional neural network model of primary visual cortex

Classical models describe primary visual cortex (V1) as a filter bank of orientation-selective linear-nonlinear (LN) or energy models, but these models fail to predict neural responses to natural stimuli accurately. Recent work shows that models based on convolutional neural networks (CNNs) lead to much more accurate predictions, but it remains unclear which features are extracted by V1 neurons beyond orientation selectivity and phase invariance. Here we work towards systematically studying V1 computations by categorizing neurons into groups that perform similar computations. We present a framework to identify common features independent of individual neurons' orientation selectivity by using a rotation-equivariant convolutional neural network, which automatically extracts every feature at multiple different orientations. We fit this model to responses of a population of 6000 neurons to natural images recorded in mouse primary visual cortex using two-photon imaging. We show that our rotation-equivariant network not only outperforms a regular CNN with the same number of feature maps, but also reveals a number of common features shared by many V1 neurons, which deviate from the typical textbook idea of V1 as a bank of Gabor filters. Our findings are a first step towards a powerful new tool to study the nonlinear computations in V1

Incentives facing UK-listed companies to comply with the risk reporting provisions of the UK Corporate Governance Code

Recent changes made to the UK Corporate Governance Code require UK firms to report new or enhanced narrative information concerning their principal risks, their risk management processes and their future viability. This paper analyses whether the level and nature of voluntary compliance with these new requirements is consistent with alternative economic and political visibility incentives. We analyse relevant sections of financial reports produced by industry matched samples of large-, mid-and small-cap UK listed firms during the transitional 2013-14 financial reporting years. Both specific and generic readability attributes of the reports are measured. We find that virtually no firm in our sample has provided any viability statement. Empirical analysis of disclosures concerning principal risk assessment and review processes appear to be primarily motivated by political visibility reasons. Examples of particularly good and cases of poor corporate risk reporting practices are also discussed. Possible implications for the actuarial profession are discussed