The biggest fire fighting accident in the history of Croatia happened on August 30, 2007. The routine fire fighting operation ended with 12 dead and 1 badly injured fire-fighter. That was the biggest human loss in the history of fire fighting in Croatia. In order to understand the Kornati accident a research team was formed and independent scientific investigation performed. The accident was analyzed from meteorological, vegetation, thermodynamics and aerodynamic points of view, and several simulation models of fire propagation were used. This paper describes in detail one possible explanation connected with eruptive fire behavior. Eruptive fire behavior has been reported in many fire accidents in the past causing a lot of causalities. Based on the real Kornati accident data, the eruptive fire model was conceived and appropriate results derived. The paper describes them in detail. Our aim in studying this and other accidents is not to find who is guilty or to blame anyone but rather to find what happened and to extract lessons, to avoid future accidents.

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Abstract-Sentence retrieval consists of retrieving relevant sentences from a document base in response to a query. Question answering, novelty detection, summarization, opinion mining and information provenance make use of sentence retrieval. Most of the sentence retrieval methods are trivial adaptations of document retrieval methods. However some newer sentence retrieval methods based on the language modeling framework successfully use some kind of context of sentences. Unlike that there is no successful improvement of the TF-ISF method that takes into account the context of sentences. In this paper we propose a recursive TF-ISF based method that takes into account the local context of a sentence. The context is considered the previous and next sentence of current sentence. We compared the new method to the TF-ISF baseline and to an earlier unsuccessful method that also incorporates a similar context into TF-ISF. We got statistically significant improvements of the results in comparison to both of the methods. Additional benefit of our method is the clear explicit model of the context that will allow us to automatically generate a document representation with context suitable for sentence retrieval which is important for our future work.

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