1,721,006 research outputs found
New insights in telomerase and telomeric proteins and their clinical application to urological cancers
Head-up Displays for Augmented Reality Applications in Racing Vehicles: a Feasibility Study
This paper studies the applicability of Augmented Reality Head-Up Displays (HUD) to car racing applications. HUD have been used for years in avionics to effectively represent environmental cues to the pilot without the need to look at the instruments. Recent advances in technology claim that similar systems can be developed for cars. HUD have been available for cars for some time, but have been exploited only as virtual dashboards. This paper looks into the potential benefits and limitations of truly Augmented Reality for car racing. In particular, the objective is to highlight the curbs of the track so to help the driver plan the best trajectory. We develop the algorithms needed to detect the curb and project its position on the HUD. We show that, in order to provide a precise projection of the cue, the attitude of the vehicle needs to be estimated and the information from a camera needs to be merged with a map of the racing track. We test the approach on an experimental vehicle rigged to emulate a HUD. The results indicate that, while the algorithms can be designed to be robust and precise, they require a very large Field of View
Comparison of telomerase activity in bladder carcinoma and exfoliated cells collected in urine and bladder washings using a quantitative assay
Telomerase activity was measured with a quantitative assay, based on a modification of telomeric repeat amplification protocol method, in bladder cancers and apparently normal mucosa in 33 patients. In the same patients, the enzyme was also measured in exfoliated cells collected both with voided urine and bladder washings. Results obtained in urine were compared with those from 20 healthy subjects. Telomerase activity was present in 31 (94%) bladder cancer tissues and in 23 (72%) apparently normal mucosa samples. However, the levels of enzyme activity were significantly higher in cancer tissues in comparison with normal mucosa (mean ± SD, 47.3 ± 23.2 and 14.9 ± 6.1 ng DNA/pμg protein, respectively; P < 0.0001). Telomerase activity in bladder cancer tissues was not related to tumor stage and grade. Enzyme activity was present in 27 urine samples and in 27 (82%) bladder washings collected from cancer patients. We did not find correlation between the activity in urine and washings, and their mean levels were not different (22.2 ± 10.1 and 20.7 ± 8.0, respectively). Telomerase activity in bladder cancer tissues was correlated to its activity in urine (r = 0.650, P < 0.001) and in bladder washings (r = 0.410, P < 0.05). Only 2 of 20 urine samples from control subjects were found to express telomerase activity at a very low level. This was the first attempt to correlate telomerase activity in exfoliated cells from urine and bladder washings with the activity in corresponding bladder cancers. According to these results we postulate that telomerase activity in urine sediment reflects the activity in bladder cancers better than bladder washings and, for its easy collection, is to be preferred as diagnostic marker in this tumor
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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