Quang Long Nguyen

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This paper could have been given the title: “How to positively and implicitly solve Euler equations using only linear scalar advections.” The new relaxation method we propose is able to solve Euler-like systems —as well as initial and boundary value problems— with real state laws at very low cost, using a hybrid explicit-implicit time integration associated(More)
We present an approach for extracting molecular events from literature based on a deep parser, using in a query language for parse trees. Detected events range from gene expression to protein localization, and cover a multitude of different entity types, including genes/proteins, binding sites, and locations. Furthermore, our approach is capable of(More)
Diagnosis of a glioblastoma (GBM) is triggered by the onset of symptoms and is based on cerebral imaging and histological examination. Serum-based biomarkers may support detection of GBM. Here, we explored serum protein concentrations of GBM patients and used data mining to explore profiles of biomarkers and determine whether these are associated with the(More)
BACKGROUND Pattern-based approaches to relation extraction have shown very good results in many areas of biomedical text mining. However, defining the right set of patterns is difficult; approaches are either manual, incurring high cost, or automatic, often resulting in large sets of noisy patterns. RESULTS We propose several techniques for filtering sets(More)
In the context of systems of nonlinear conservation laws it can be crucial to use adaptive grids in order to correctly simulate the singularities of the solution over long time ranges while keeping the computing time within acceptable bounds. The adaptive space grid must vary in time according to the local smoothness of the solution. More sophisticated and(More)
We present an approach for extracting molecular events from literature based on a deep parser, using in a query language for parse trees. Detected events range from gene expression to protein localization, and cover a multitude of different entity types, including genes/proteins, binding sites, and locations. Furthermore, our approach is capable of(More)
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