Objectives New obturation biomaterials have been introduced over the past decade to improve the seal of the root canal system. However, it is not clear whether they have really produced a three-dimensional impervious seal that is important for reducing diseases associated with root canal treatment. Methods A review of the literature was performed to identify models that have been employed for evaluating the seal of the root canal system. Results and Significance In-vitro and in-vivo models are not totally adept at quantifying the seal of root canals obturated with classic materials. Thus, one has to resort to clinical outcomes to examine whether there are real benefits associated with the use of recently-introduced materials for obturating root canals. However, there is no facile answer because endodontic treatment outcomes are influenced by a host of other predictors that are more likely to take precedence over the influence of obturation materials. From the perspective of clinical performance, classic root filling materials have stood the test of time. Because many of the recently-introduced materials are so new, there is not enough evidence yet to support their ability to improve clinical performance. This emphasizes the need to translate anecdotal information into clinically relevant research data on new biomaterials.

This paper examines the potential role of tourism themed routes, not only as drive tourism products to increase visitation to regional Australia, but also as potential contributors to road network efficiency and improving road safety. The paper is based on extensive research undertaken by Tourism Queensland since the late 1990s into the potential role of themed routes within the tourism framework. These interactive visitor road corridors have demonstrated their ability to affect visitor dispersion, but rely heavily on cross-sector (tourism and transport) cooperation. This paper explores the market for themed routes, examines the potential contribution of tourism themed routes to ‘win-win’ tourism and transport outcomes and highlights the need for greater national coordination.

Detecting similarity between texts is a frequently encountered text mining task. Because the measurement of similarity is typically composed of a number of metrics, and some measures are sensitive to subjective interpretation, a generic detector obtained using machine learning often has difficulties balancing the roles of different metrics according to the semantic context exhibited in a specific collection of texts. In order to facilitate human interaction in a visual analytics process for text similarity detection, we first map the problem of pairwise sequence comparison to that of image processing, allowing patterns of similarity to be visualized as a 2D pixelmap. We then devise a visual interface to enable users to construct and experiment with different detectors using primitive metrics, in a way similar to constructing an image processing pipeline. We deployed this new approach for the identification of commonplaces in 18th‐century literary and print culture. Domain experts were then able to make use of the prototype system to derive new scholarly discoveries and generate new hypotheses.

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Socialization theory claims that the ability of education to reduce anti-foreigner sentiment varies cross-nationally because state authorities are not equally committed to accepting ethnic minorities: higher educated persons harbor less anti-foreigner sentiment because they spend longer in educational institutions that impose official democratic values, which forbid negative reactions toward ethnic minorities. Consequently, higher educated persons ought to diverge from the lower educated as democratic institutions progress. Analyses support these claims: the impact of education on reducing anti-foreigner sentiment is strongest in the oldest democracies, moderate among the medium-aged (e.g., South European) democracies and weakest among the youngest (East European) democracies; and higher educated persons are disproportionately influenced by the maturation of democratic institutions. Analyses utilize data from the 28-country 2008 European Social Survey.

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Computer science can revolutionize the humanities as it has the hard sciences by revealing and contextualizing the meaning hidden in digital libraries.

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