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The r-process is responsible for creating roughly half of the elements heavier than iron. It has recently become understood that the rates at which neutron capture reactions proceed at late times in the r-process may dramatically affect the final abundance pattern. However, direct measurements of neutron capture reaction rates on exotic nuclei are exceptionally difficult, necessitating the development of indirect approaches such as the surrogate technique. The (d,pγ) reaction at low energies was identified as a promising surrogate for the (n,γ) reaction, as both reactions share many characteristics. We report on a program to validate (d,pγ) as a surrogate for (n,γ) using 95Mo as a target. The experimental campaign includes direct measurements of the γ-ray intensities from the decay of excited states populated in the 95Mo(n,γ) and 95Mo(d,pγ) reactions. [ABSTRACT FROM AUTHOR]

With the intention of supporting personnel in the field, this paper proposes a mobile application for data management and visualization. Taking advantage of modern mobile devices provides an inexpensive platform with built in sensors and power, providing field crews with important information regarding asset history, location and documentation while on the move. The use of such an application can also provide a platform for scheduling “real time” work requests and creating switching orders whilst in the vicinity of the asset, saving time and paper. [ABSTRACT FROM PUBLISHER]

With the intention of supporting personnel in the field, this paper proposes a mobile application for data management and visualization. Taking advantage of modern mobile devices provides an inexpensive platform with built in sensors and power, providing field crews with important information regarding asset history, location and documentation while on the move. The use of such an application can also provide a platform for scheduling “real time” work requests and creating switching orders whilst in the vicinity of the asset, saving time and paper. [ABSTRACT FROM PUBLISHER]

As utilities move towards a more intelligent, autonomous distribution network with increased penetration of distributed generation there is a requirement for utilities and consultancies to analyze how these changes will affect network operation and performance under varying conditions. This requires a large amount of data and results to be moved on a frequent communications basis between applications from a number of different vendors, all of whom use their own proprietary data formats. This paper will discuss how these challenges are impacting off-line analysis of complex networks and how open standards can enable companies to efficiently share and exchange network models between incompatible applications. [ABSTRACT FROM PUBLISHER]