University of Rijeka

About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.

Selectivity-Based Keyword Extraction Method

Abstract: In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The authors show that selectivity- based keyword extraction slightly outperforms an extraction based on the standard centrality measures: in/out-degree, betweenness and closeness. Therefore, they include selectivity and its modification – generalized selectivity as node centrality measures in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network. The experimental results point out that selectivity-based keyword extraction has a great potential for the collection-oriented keyword extraction task.

S6-haploinsufficiency activates the p53 tumor suppressor.

Abstract: The capacity to detect and appropriately respond to many different stresses that interfere with functional homeostasis is essential for survival. Recent evidence suggests that the nucleolus, the site of ribosome biogenesis, plays a critical role in sensing and responding to both external and internal stresses. To understand these processes, we have recently used a genetically defined in vivo mouse model in which ribosome biogenesis could be manipulated during oogenesis and embryo development. In these mice ribosomal biosynthesis is impaired by a conditional deletion of one allele of the gene encoding 40S ribosomal protein S6. Embryos from these animals fail during gastrulation, apparently due to a p53-dependent checkpoint being triggered, rather than a deficit in translational capacity. These findings imply that molecular mechanisms have evolved during mammalian evolution to strongly guard against potential heterozygosity for ribosomal protein genes.

A computerized method for the evaluation of root canal morphology.

Abstract: The objective of this research was to develop a technique that would allow three-dimensional imaging of root canals utilizing computer image processing. Ten single-rooted permanent human teeth with mature apices were analysed. The teeth were decoronated and fixed on boards with the long axis of the root perpendicular to the board. The cross-sectioning started at the root apex and continued in the coronal direction, roughly perpendicular to the long axis of the ++root. The samples were divided into two groups. The first five samples were sectioned 15 times, each section being 0.5-mm thick, in order to obtain the three-dimensional reconstruction of the root and the root canal. The root apex of each sample was cross-sectioned 19 times and each section was 0.2-mm thick. After each section, the root canal contour was defined utilizing the calibrated net with coordinate system in the ocular of the stereomicroscope. The coordinates of the root canal cross-section contour thus determined, together with the value of the thickness of each cut, were relevant input data for the reconstruction of the root canal cross-sections, longitudinal sections and for the final three-dimensional rebuild of the root and the root canal model. this technique appears to be highly accurate in determining the anatomy of the root canal system and may also be applied in other fields of dental research.