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Digital investigation methods are becoming more and more important due to the proliferation of digital crimes and crimes involving digital evidence. Network forensics is a research area that gathers evidence by collecting and analysing network traffic data logs. This analysis can be a difficult process, especially because of the high variability of these(More)
Purpose. Survival following biochemical failure is highly variable. Using a randomized trial dataset, we sought to define a risk stratification scheme in men with locally advanced prostate cancer (LAPC). Methods. The TROG 96.01 trial randomized 802 men with LAPC to radiation ± neoadjuvant androgen suppression therapy (AST) between 1996 and 2000. Ten-year(More)
Digital crimes are a part of modern life but evidence of these crimes can be captured in network traffic data logs. Analysing these logs is a difficult process, this is especially true as the format that different attacks can take can vary tremendously and may be unknown at the time of the analysis. The main objective of the field of network forensics(More)
This report is a contribution to X3/SPARC Database system Study Group (DBSSG). The technical work represents the careful distillation of the contribution of the authors and others who have participated in the meetings and studies of the User Facility Task Group (UFTG) which is a sub-group of the DBSSG.
In this paper, I introduce a new approach to agent-based modeling in geospatial contexts. The novelty of the approach stems from introducing geospatial functionality as an exoskeletal wrapper around standard socio-communicative and goal-oriented agent-based AI. Operationally, I also introduce an integrated and symbiotic tight-coupling to motion capture and(More)
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