Temple University

About: Temple University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32154 authors who have published 64375 publications receiving 2219828 citations.

The Origin of German Tragic Drama

Abstract: Walter Benjamin is widely acknowledged as amongst the greatest literary critics of this century, and The Origin of German Tragic Drama is his most sustained and original work. Indeed, Georg Lukacs - one of the most trenchant opponents of Benjamin's aesthetics - singled out this work as one of the main sources of literary modernism in the twentieth century. The Origin of German Tragic Drama begins with a general theoretical introduction on the nature of the baroque art of the sixteenth and seventeenth centuries, concentrating on the peculiar stage-form of the royal martyr dramas called Trauerspiel. Benjamin also comments on the engravings of Durer, and the theatre of Shakespeare and Calderon. Baroque tragedy, he argues, was distinguished from classical tragedy by its shift from myth into history. The characteristic atmosphere of the Trauerspiel was consequently 'melancholy'. The emblems of baroque allegory point to the extinct values of a classical world that they can never attain or repeat. Their suggestive power, however, remains to haunt subsequent cultures, down to this century.

Road crack detection using deep convolutional neural network

Abstract: Automatic detection of pavement cracks is an important task in transportation maintenance for driving safety assurance. However, it remains a challenging task due to the intensity inhomogeneity of cracks and complexity of the background, e.g., the low contrast with surrounding pavement and possible shadows with similar intensity. Inspired by recent success on applying deep learning to computer vision and medical problems, a deep-learning based method for crack detection is proposed in this paper. A supervised deep convolutional neural network is trained to classify each image patch in the collected images. Quantitative evaluation conducted on a data set of 500 images of size 3264 χ 2448, collected by a low-cost smart phone, demonstrates that the learned deep features with the proposed deep learning framework provide superior crack detection performance when compared with features extracted with existing hand-craft methods.

Periapical status of endodontically treated teeth in relation to the technical quality of the root filling and the coronal restoration

Abstract: The purpose of this study was to evaluate the relationship of the quality of the coronal restoration and of the root canal obturation on the radiographic periapical status of endodontically treated teeth. Full-mouth radiographs from randomly selected new patient folders at Temple University Dental School were examined. The first 1010 endodontically treated teeth restored with a permanent restoration were evaluated independently by two examiners. Post and core type restorations were excluded. According to a predetermined radiographic standard set of criteria, the technical quality of the root filling of each tooth was scored as either good (GE) or poor (PE), and the quality of the coronal restoration similarly good (GR) or poor (PR). The apical one-third of the root and surrounding structures were then evaluated radiographically and the periradicular status categorized as (a) absence of periradicular inflammation (API) or (b) presence of periradicular inflammation (PPI). The rate of API for all endodontically treated teeth was 61.07%. GR resulted in significantly more API cases than GE, 80% versus 75.7%. PR resulted in significantly more PPI cases than PE, 30.2% versus 48.6%. The combination of GR and GE had the highest API rate of 91.4%, significantly higher than PR and PE with a API rate of 18.1%.

Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry

Abstract: The presence of peers increases risk taking among adolescents but not adults. We posited that the presence of peers may promote adolescent risk taking by sensitizing brain regions associated with the anticipation of potential rewards. Using fMRI, we measured brain activity in adolescents, young adults, and adults as they made decisions in a simulated driving task. Participants completed one task block while alone, and one block while their performance was observed by peers in an adjacent room. During peer observation blocks, adolescents selectively demonstrated greater activation in reward-related brain regions, including the ventral striatum and orbitofrontal cortex, and activity in these regions predicted subsequent risk taking. Brain areas associated with cognitive control were less strongly recruited by adolescents than adults, but activity in the cognitive control system did not vary with social context. Results suggest that the presence of peers increases adolescent risk taking by heightening sensitivity to the potential reward value of risky decisions.