This paper describes exploratory research on the application of computerized text analysis techniques to all U.S. engineering
doctoral dissertation abstracts dated 1981, 1986, and 1991. Experts were utilized to categorize abstracts by industrial relevance,
and to identify appropriate non-technology-specific word indicators within the abstracts. Word frequency and cluster analysis
techniques were also explored for their potential utility in identifying technology-related work indicators of industrial
relevance. The results of this work suggest that text analysis of engineering dissertation abstracts holds potential utility
for identifying industrially relevant university-based engineering research, when used in conjunction with expert input and
Authors:J. Santos, C. Munita, R. Toyota, C. Vergne, R. Silva, and P. Oliveira
Chemical and mineralogical analysis was performed on ceramics and clay samples from Barracão archaeological site located in
Baixo São Francisco River by means of instrumental neutron activation analysis (INAA) and by differential scanning calorimetry
(DSC). The data set was studied by means of cluster analysis (CA) and discriminant analysis (DA). The results showed that
the raw material used in ceramics is not local. By using DSC it was possible to discover that the principal minerals in the
samples are quartz, feldspars, mica and kaolinite.
The possibility of using molecular descriptors to predict both the retention behavior and the mechanism of retention of biogenic amine neurotransmitters and some of their metabolites in TLC has been examined. QSRR analysis was achieved by simultaneous solution of a set of linear equations. Basic correlations were found between retention and molecular descriptors calculated by means of semi-empirical methods of quantum chemistry. The functions obtained provided insight into the mechanism of chromatographic retention on a molecular level. Experimentally obtained retention data for biogenic amine neurotransmitters and their derivatives also served as a basis for cluster analysis of these TLC systems.
Authors:Maria Bordons, Isabel Gómez, M. Fernández, M. Zulueta, and Aida Méndez
Collaboration practices and partners vary greatly per scientific area and discipline and influence the scientific performance. Bibliometric indicators are used to analyse international, domestic and local collaboration in publications of Spanish authors in three Biomedical subfields: Neurosciences, Gastroenterology and Cardiovascular System as covered by theSCI database. Team size, visibility and basic-applied level of research were analysed according to collaboration scope. International collaboration was linked to higher visibility documents. Cluster analysis of the most productive authors and centres provides a description, of collaboration habits and actors in the three subfields. A positive correlation was found between productivity and international and domestic collaboration at the author level.
Authors:Ivana Roche, Dominique Besagni, Claire François, Marianne Hörlesberger, and Edgar Schiebel
Following up the European project PromTech the aim of which was to detect emerging technologies by studying the scientific
literature, we chose one field, Molecular Biology, to identify and characterize emerging topics within that domain. We combined
two analytical approaches: the first one introduces a model of the terminological evolution of the field based on bibliometric
indicators and the second one operates a diachronic clustering analysis. Our objective is to bring answers to questions such
as: Which technological aspects can be detected? Which of them are already established and which of them are new? How are
the topics linked to each other?
In 1999 investigation, the needles of Sabina chinesis L. from 11 hot spot tourist cities extending over China were collected as biomonitors for evaluation of atmospheric elemental differences in those cities. Thirty five elements were determined by instrumental neutron activation analysis (INAA). The experimental data reflected the environmental alteration in the cities that have different geographical position, population burden and industrialized level. Eventually by using the data processed by factor analysis (FA) and subsequent cluster analysis (CA), the cities were grouped into six sorts of the urban atmospheric deposition with corresponding elements.
Authors:S. Calvelo, N. Baccala, M. Arribere, S. Guevara, and D. Bubach
The elemental composition of lichens from remote southern South America regions has been studied with analytical and statistical techniques to determine if the values obtained reflect species, growth forms or habitat characteristics. The enrichment factors are calculated discriminated by species and collection site and compared with data available in the literature. The elemental concentrations are standardized and compared for different species. The information was statistically processed, a cluster analysis was performed using the three first principal axes of the PCA; the three groups formed are presented. Their relationship with the species, collection sites and the lichen growth forms are interpreted.
The structure of R & D in biotechnology is analysed using co-classification analysis of joint subject heading assignments in Derwent BIOTECHNOLOGY ABSTRACTS and subject profile analysis of 44 highly productive biotechnology-intensive organizations whose patents and publications are indexed therein. A Pathfinder Network Analysis reveals two distinct foci in biotechnology R & D-fermentation and genetic engineering-each linked to relevant products and secondary processes. Multidimensional scaling and cluster analysis identified 5 major groupings of companies, research institutes, and patent-holding organizations arranged along two dimensions-industrial fermentation processesvs genetic engineering and biomedicalvs non-biomedical R & D.
Authors:A. Fistes, D. Soronja Simovic, D. Rakic, and J. Mastilovic
Five statistical procedures including: simple correlation, multiple linear regression, cluster analysis, factor analysis and principal components analysis were used to study the influence of wheat/flour quality tests on end-use performance. Different statistical procedures identify different quality test to be in good correlation with bread yield and specific bread volume confirming the complexity of wheat quality determination. Factor analysis and principal components analysis identified three group of parameters named: protein quantity and quality, extensigraph readings and alpha-amylase activity which explain 73.6% (factor analysis) and 82.54% (PCA) of the total variability in the dependent structure.
Authors:C. Díaz Romero, S. Tort, E. Díaz, and J.P. Pérez-Trujillo
Samples of sweet wines from the Canary Islands belonging to the Denominations of Origin of La Palma and Lanzarote islands were analysed in relation to chemical parameters. The main chemical parameters analysed demonstrated that these wines fulfil all the legal requirements, since the content of all components tested falls below the maximum concentration admissible. Applying techniques of multivariate analysis (principal component, discriminant and cluster analysis), a complete differentiation could be achieved between the wines according to the island of production using only alcohol degree and isobutanol, which are chemical parameters related to the elaboration process.