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A full scope Probabilistic Safety Assessment (PSA) was provided as an integral part of the safety case for the UK ABWR Generic Design Assessment (GDA) and this included a Level 3 PSA. The main objectives of the Level 3 PSA for GDA are to provide a demonstration of the compliance, for a single unit UK ABWR, with numerical risk targets defined in the UK Safety Assessment Principles and to support the ALARP assessment. This paper includes: • An overview of the methodology, PSA model development and illustration of some results. • A summary of the key assumptions made during the model development for the GDA phase of the project. Compliance with the numerical risk targets has been investigated through assessments against the individual off site risk from the facility (Target 7), facility dose bands (Target 8) and off site societal risk (Target 9). • Some conclusions of a peer review against the draft ASME/ANS standard for trial use (ASME/ANS RA-S-1.3, Feb 2016 for Level 3 Probabilistic Risk Assessment (PRA)), which was a key aspect of this study.

OBJECTIVES The purposes of this study are outlining an inversely proportional relationshionship between MMSE scores and the severity of burn-out symptoms among caregivers directly involved in looking after dementia diagnosed pacients.BACKGROUND AND AIMS Studies have shown that more than half of the caregivers for the dementia diagnosed patiens develop burnout symptoms. Our objective is to highlight the association between butnout symptoms gravity and cognitive impairment and also Outlining a directly proportional relation between the severity of burn-out symptoms and kindship degree MATERIALS AND METHODS In this study we have included individuals with negative psychiatric background, active professional status and socio-economically satisfactory status, and we excluded individuals with preexistent psychiatric disorders.We have selected a group of 50 dementia diagnosed patiens, in various evolutive stages , totalizing 75 people. We have applied Maslach Scale for evidencing the presence and the severity of burnout syndrome. The study has been conducted over a 24 months period. RESULTS Our findings show that 45 of the caregivers have addressed emergency medical services, as follows : 12 of them were diagnosed with acutisation of preexistent somatic diseases, 28 of them were diagnosed both with psychiatric and somatic disorders, 5 of them passed away. CONCLUSIONS Our study has concluded that the caregivers for dementia diagnosed patients have developed significant burnout symptoms, which are worsening in a directly proportional mannser with the self caring capacitiy decline, which is corroborated with low MMSE scores.

It is widely recognised in the social and management sciences that the effective support of decision-making requires a multidisciplinary perspective. This trend is also clear in nuclear emergency management (EM). However, communication between disciplines is not easy to maintain in EM contexts when the decision makers (DMs) are likely to be highly stressed. Such circumstances can lead them to revert to the instinctive patterns of perception of their core disciplines, making communication between disciplines difficult and, perhaps, obscuring complex interactions that have not been rehearsed in practice exercises. This paper explores decision making in EM and the nature of the socio-technical issues that will arise, suggesting that despite the lessons of past accidents the research EM community is still not taking a broad enough view of what future incidents may entail.

The maximum likelihood tomographic method is used to reconstruct the radioactive fission products distribution in irradiated fuel pins from a very small number of projections. The method can be used to analyse the behaviour of the nuclear fuel during irradiation and also to obtain an improvement in burn-up estimation. An experimental result, for a CANDU type fuel pin, is reported. A criterion for optimally stopping the iterative algorithm is suggested.

A comparison of four tomographic methods that can be used to reconstruct the γ-radioactive fission products distribution in irradiated nuclear fuel pins is reported. The comparison is performed by use of numerically generated data from phantoms which model typical distributions observed in CANDU type fuel pins. The influence of the quality of the methods on the burn-up evaluation is studied.

The last 20 years has seen enormous advances in mathematical modelling and computing techniques. In the aftermath of the Chernobyl Accident, many of these have been incorporated in Decision Support Systems (DSS) to aid nuclear emergency management. This paper reviews what has been achieved; but it also reflects on how the tools fit into emergency management processes and discusses whether too much emphasis is being placed on the technological aspects of what is a complex, socio-technical issue.