177,026 research outputs found
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Could endometrial cytology be helpful in detecting endometrial malignancies?
This short communication assesses the concordance indexes between hysteroscopic biopsies and endometrial cytology for each endometrial pattern found in a sample of 37 women. Patients underwent endometrial cytology under sonographic guidance. The specimens were obtained with an endocervical brush and were fixed on slides (no liquid-based methods). After endometrial cytology, hysteroscopy with biopsy was performed. The best concordance index was found for endometrial malignancies, suggesting that endometrial cytology is able to detect cancers but not other endometrial diseases, as compared with endometrial hysteroscopic biopsies. Therefore, the overall concordance index suggests a fair concordance between histological and cytological findings. This leads us to conclude that usual endometrial cytology should not be recommended to screen endometrial diseases, but it may be used as an alternative diagnostic tool when hysteroscopic biopsies or other blinded procedures for endometrial sampling are unwanted, because it allows malignancies to be detected as well as hysteroscopic-guided biopsies
Expression of basic fibroblast growth factor, its receptors and syndecans in bladder cancer.
Int J Immunopathol Pharmacol. 2009 Jul-Sep;22(3):627-38. Expression of basic fibroblast growth factor, its receptors and syndecans in bladder cancer. Marzioni D, Lorenzi T, Mazzucchelli R, Capparuccia L, Morroni M, Fiorini R, Bracalenti C, Catalano A, David G, Castellucci M, Muzzonigro G, Montironi R. Source Department of Molecular Pathology and Innovative Therapies, Marche Polytechnic University, School of Medicine, Ancona, Italy. [email protected] Abstract Basic fibroblast growth factor (bFGF) is a heparin-binding cationic protein involved in a variety of pathological conditions including angiogenesis and solid tumour growth. The basic fibroblast growth factor receptor (FGFR) family comprises at least 4 high affinity tyrosine kinase receptors that require syndecans for their function. Mounting evidence indicates that syndecans, that bind both bFGF and their FGFRs, will act as stimulators, whereas syndecans that only bind bFGF will act as inhibitors of signaling by sequestering the growth factor. Recent findings have highlighted the importance of syndecans in urological cancers. The aim of this study is to investigate the expression of bFGF, its receptors (R1 and R2) and syndecans (1-4) in invasive urothelial carcinoma and normal-looking urothelium by Western blotting, RT-PCR, and immunohistochemistry analyses. Interestingly, bFGF, FGFR1 and FGFR2 protein levels statistically increased in bladder cancer tissues. mRNA of FGFR1 and syndecans (1-4), showed a statistically significant increase while an mRNA increase in the other molecules analysed was not significant. bFGF, its receptors and syndecan immunostaining were mainly present in the urothelium both in normal-looking tissues and urothelial neoplastic cells. In conclusion, our data report that the bFGF, FGFR and syndecan expressions are altered in bladder tumours. PMID: 19822079 [PubMed - indexed for MEDLINE
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
Bio-behavioral and self-report user experience evaluation of a usability assessment platform (UTAssistant)
This work shows the user experience (UX) assessment of a web-based platform for the semi-automatic usability evaluation of websites, UTAssistant, which is primarily addressed to workers in public administration (PA). The study is part (Phase 1) of a multiple assessment methodology which consists of four phases in total: (1) UX in laboratory conditions; (2) Usability evaluation in remote online conditions; (3) Usability evaluation in workplace conditions; and (4) Heuristic evaluation. In Phase 1, a UX study in laboratory conditions was carried out. Participants’ UX of a PA website navigation through UTAssistant was evaluated by both traditional self-report usability assessment tools (SUS and UMUX) and bio-behavioral measurement techniques (facial expression recognition and electroencephalography). Results showed that using the UTAssistant usability assessment tool for webpages did not affect users’ perceived usability in terms of self-reports and affective states, which were mostly neutral for all the assessment session. However, frontal alpha asymmetry EEG’s scores showed a higher sensitivity of UTAssistant users to the duration of the trial, with a decrease in motivation displayed as the trial ensued. However, this result did not seem to affect emotional experience
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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
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