117,333 research outputs found
D. Banez and L. Molina
No full textThe aticle deals with the historically significant theologiens and philosophers D. Banez and L. Molina who played a central role in the discussion concerning Divine grace
Evaluation of PSA accuracy for the detection of prostate cancer in obese men: results from a European biopsy cohort
No full textGreater Percent-free Testosterone Is Associated With High-grade Prostate Cancer in Men Undergoing Prostate Biopsy
No full textOBJECTIVE To analyze the serum androgen concentrations in men who underwent an initial prostate biopsy, focusing on the percent-free testosterone (%FT) as a predictor of low- and high-grade prostate cancer (PCa). Most studies have suggested that the absolute serum testosterone and free testosterone levels are not related to PCa risk. However, to date, the concurrent effect of free and total testosterone levels has not been evaluated. In particular, the association of the %FT (free testosterone/total testosterone) with PCa risk has not been explored. METHODS From 2006 to 2010, we collected data on 812 white Italian men with no history of PCa who underwent 12-core biopsy. The testosterone, free testosterone, and %FT (free testosterone/total testosterone) were examined as predictors of low- grade (Gleason score of = 7) PCa using crude and adjusted multinomial logistic regression analysis. RESULTS On multivariate analysis, testosterone (P >= .11) and free testosterone (P >= .45) were not significantly associated with low- or high-grade PCa. A greater %FT level significantly predicted high-grade PCa on both crude (P = .01) and multivariate (P = .02) analysis but not low- grade PCa (P >= .38). When examined in tertiles, men in the greatest %FT tertile had a significant twofold increased risk of high-grade PCa (odds ratio 2.04, 95% confidence interval 1.23-3.37, P = .005). CONCLUSION In white Italian men, a greater %FT level was associated with an increased risk of high-grade PCa on initial prostate biopsy. These findings suggest that a high %FT level, rather than the absolute androgen levels, might be associated with high-grade PCa. Additional studies are needed to confirm our findings. UROLOGY 80: 162-168, 2012. (c) 2012 Elsevier Inc. All rights reserved
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
The impact of obesity on the predictive accuracy of PSA in men undergoing prostate biopsy
No full textPurpose: Obese men have been reported to have lower serum PSA values relative to normal-weight men in population-based studies, screening cohorts, and in men with prostate cancer (CaP) treated with surgery. There are concerns that PSA may be less accurate in detecting prostate cancer in men with increased body mass index (BMI). We determine whether the diagnostic potential of PSA is negatively influenced by obesity by comparing its operating characteristics across BMI categories among men undergoing prostate biopsy. Methods: Demographic, clinical, and histopathological data on 917 men who underwent trans-rectal ultrasound-guided prostate needle biopsy from 2002 to 2010 at a University hospital in Italy were used in the study. Men were categorized for BMI as follows: <25 kg/m 2 (normal weight), 25-29.9 kg/m 2 (overweight), and ≥30 kg/m 2 (obese). Receiver operator characteristics (ROC) curves were used to assess PSA accuracy for predicting prostate cancer overall and then stratified according to digital rectal examination (DRE) findings using the area under the ROC curve (AUC). Results: The obesity rate of the study cohort was 21 %. There was no statistically significant difference in the overall AUCs of PSA for predicting CaP among normal-weight (AUC = 0.56), overweight (AUC = 0.60), and obese men (AUC = 0.60; p = 0.68) in either DRE-positive or negative men. Conclusions: In a cohort of Italian men undergoing prostate biopsy, the performance accuracy of PSA as a predictor of CaP is not significantly altered by BMI. Obesity does not negatively impact the overall ability of PSA to discriminate between CaP and benign conditions. © 2012 Springer-Verlag
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
No full textIn this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Letter from unknown writer to Jesse L. Boyce
No full textLetter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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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