873 research outputs found
Tissue-engineered cartilage on biodegradable macroporous scaffolds: Cell shape and phenotypic expression
No full textObjective. The purpose of the study was to establish in vitro culture of chondrocytes on biodegradable, poly(D,L,lactic-co-glycolic acid) [PLGA] scaffolds. Study Design: Laboratory experiment using cartilage of rat rib and biodegradable scaffolds. Methods. Chondrocytes were cultured on a poly-hydroxyethyl methacrylate (poly-HEMA)-coated dish, proliferated, and transferred into the PLGA scaffolds. Phenotypic expression of cells was examined according to the condition of poly-HEMA coating. Morphological, biochemical, and immunohistochemical characteristics of cells cultured within PLGA scaffolds were also examined. Results: Chondrocytes cultured on a poly-HEMA-coated dish aggregated into distinct nodules containing large clusters of spherical cells and showed cartilage-specific phenotype, collagen type H. The results of immunostaining and reverse transcriptase-polymerase chain reaction of cells cultured within PLGA scaffolds showed cartilage-specific morphological appearance and structural characteristics such as lacunae and expression of collagen type H. Conclusion: The chondrocytes cultured on a poly-HEMA-coated dish and PLGA scaffolds showed chondrocyte-specific phenotypes and morphological appearance
Inspection of ball grid array (BGA) solder joints using X-ray cross-sectional images
No full textCopyright 1999 Society of Photo-Optical Instrumentation Engineers
Association of primary cutaneous amyloidosis with atopic dermatitis: a nationwide population-based study in Taiwan
No full text
A connectionist and multivariate approach to science maps: the SOM, clustering and MDS applied to library and information science research
No full textThe visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural algorithm, Ward’s clustering method and multidimensional scaling (MDS). The results of this study are compared with similar research developed by Howard White and Katherine McCain [1]. The methodologies used allow us to confirm that the subject domains identified in this paper are, as well,
present in our study for the corresponding period. The appearance of studies pertaining to library science reveals the relationship of this realm with information science. Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider MDS, the SOM and clustering as complementary methods that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables
A Connectionist and Multivariate Approach to Science Maps: Som, Clustering and Mds Applied to Library & Information Science Research.
No full textThe visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural
algorithm, Ward’s clustering method and multidimensional
scaling (MDS). The results of this study are compared with
similar research developed by Howard White and Katherine
McCain [1]. The methodologies used allow us to confirm that
the subject domains identified in this paper are, as well,
present in our study for the corresponding period. The appearance of studies pertaining to library science reveals
the relationship of this realm with information science.
Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider
MDS, the SOM and clustering as complementary methods
that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables
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