Thanks!!
On Sun, Feb 21, 2010 at 11:14 PM, sue <[email protected]> wrote:
> hi,
> I am still new to this TBC/Semantics and Sparql,
> and I am working on conversion of XML documents and export it to CSV
> or TXT
>
> I open the XML file (sample attached) using the Semantic XML Documents
> and then I can see all the classes and instances,
> the process flow will be selecting a file (later root folder and then
> iterating it) and then converting it to spreadsheet and hten exporting
> it to text/xls.
>
> while converting it to spreasheet I am finding hard time to write the
> sparql query for selecting the tags.
>
> Example is a sample from the google:
> SELECT *
> WHERE {
> ?var dcterms:abstract ?abstract .
> ?var dcterms:author ?author.
> ?var dc:title ?title .
>
> }
> I am not sure how this works. I mean how do I know what are the tag
> types (dcterms, dc, prism)
>
> Pls guide me.
--
Thanks,
Vk
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<AbstractText>Water dynamics and compartmentation in glutaraldehyde cross-linked bovine serum albumin nanoparticles have been investigated by an integrated nuclear magnetic resonance (NMR) protocol based on water relaxation times and self-diffusion coefficients measurements. Multi-exponentially of water relaxation curves has been accounted for according to a diffusive and chemical exchange model (see B. P. Hills, S. F. Takacs and P. S. Belton, Mol. Phys., 1989, 67(4), 903, and Mol. Phys., 1989, 67(4), 913; E. Brosio, M. Belotti and R. Gianferri, in Food Science and Technology: New Research, ed. L. V. Greco and M. N. Bruno, Nova Science Publishers, Hauppauge (NY), 2008) that made it possible to single out water molecules in the molecular spaces in the interior of albumin nanoparticles, in the meso-cavities formed by packed nanoparticles and in the meniscus on top of the nanoparticles suspension. A quantitative rationalization of T(2) values of water different components allowed morphological information to be acquired as for the size of water filled compartments, while self-diffusion coefficient measurements of water excess or fluxed packed nanoparticles suspensions are describers of transport properties of soft biomaterials. The paper reports an NMR approach that can be seen as a general and relevant method to characterize excess-water-swollen soft biomaterials.</AbstractText>
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<Affiliation>Department of Chemistry, University of Rome La Sapienza, P. le Aldo Moro, 5-00185 Roma, Italy.</Affiliation>
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<Title>Molecular and cellular biochemistry</Title>
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<ArticleTitle>Odorant-linked ROS-GC subfamily membrane guanylate cyclase transduction system.</ArticleTitle>
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<AbstractText>This review focuses on the principles of the Ca(2+)-modulated ROS-GC subfamily transduction system linked with the mammalian olfactory transduction field, its historical development, and the present day status on its constitution and operational mechanisms controlling the process of olfactory-transduction. Beginning parts of this article are freely borrowed from the earlier reviews of the authors (Sharma RK, Duda T, Venkataraman V, Koch KW, Curr Topics Biochem Res 6:111-144, 2004; Duda T, Venkataraman V, Sharma RK, Neuronal calcium sensor proteins, pp 91-113, Nova Science Publishers, Inc., 2007).</AbstractText>
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<Affiliation>Research Divisions of Biochemistry and Molecular Biology, The Unit of Regulatory and Molecular Biology, Salus University, Elkins Park, PA 19027, USA. [email protected]</Affiliation>
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<Agency>NHLBI NIH HHS</Agency>
<Country>United States</Country>
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<Month>Nov</Month>
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<Title>Addictive behaviors</Title>
<ISOAbbreviation>Addict Behav</ISOAbbreviation>
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<ArticleTitle>A further investigation of the relations of anxiety sensitivity to smoking motives.</ArticleTitle>
<Pagination>
<MedlinePgn>1402-8</MedlinePgn>
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<AbstractText>Prior research has shown that anxiety sensitivity (AS) is associated with smoking to reduce negative affect (e.g., [Comeau, N., Stewart, S.H., & Loba, P., (2001). The relations of trait anxiety, anxiety sensitivity and sensation seeking to adolescents' motivations for alcohol, cigarette, and marijuana use. Addictive Behaviors, 26, 803-825.]). However, given limitations in the measurement of smoking motives in previous AS studies, it has yet to be definitively established that AS is specifically related to negative reinforcement smoking motives. Moreover, the overall AS construct is comprised of three lower-order components: physical, psychological, and social concerns (e.g., [Stewart, S.H., Taylor, S., & Baker, J.M., (1997). Gender differences in dimensions of anxiety sensitivity. Journal of Anxiety Disorders, 11, 179-200.]). Previous investigations generally have not examined the relative contributions of each of these three AS components to smoking for negative reinforcement motives. The present study attempted to address each of these gaps in the literature. A sample of 119 smokers attending a tobacco intervention program (see [Mullane, J.C., Stewart, S.H., Rhyno, E., Steeves, D., Watt, M., & Eisner, A., (2008). Anxiety sensitivity and difficulties with smoking cessation. In A.M. Columbus (Ed.), Advances in Psychological Research (vol. 54A, pp. 141-155). Hauppauge, NY: Nova Science Publishers.]) completed the Anxiety Sensitivity Index (ASI; [Peterson, R.A., & Reiss, S., (1992). The Anxiety Sensitivity Index manual (2nd ed.). Worthington, OH: International Diagnostic Services.]) and the Reasons For Smoking scale (RFS; [Ikard, F.F., Green, D.E., & Horn, D., (1969). A scale to differentiate between types of smoking as related to the management of affect. International Journal of the Addictions, 4, 649-659.]) at pre-treatment. In a principal components analysis (PCA) of the RFS items, stringent parallel analysis supported a two-factor solution (negative and positive reinforcement smoking motives) as opposed to the intended six factors ([Ikard, F.F., Green, D.E., & Horn, D., (1969). A scale to differentiate between types of smoking as related to the management of affect. International Journal of the Addictions, 4, 649-659.]). ASI total scores were significantly positively correlated with both RFS factors in bivariate correlational analyses. In partial correlations, the relation between the ASI and the RFS negative reinforcement factor remained significant when controlling for RFS positive reinforcement smoking motives, but the correlation of ASI with RFS positive reinforcement motives was not significant after controlling for RFS negative reinforcement motives. At the level of AS components, AS psychological concerns were related to both negative and positive reinforcement motives, while AS physical concerns were more strongly related to negative reinforcement motives. Implications for designing targeted tobacco interventions for high AS smokers are discussed.</AbstractText>
</Abstract>
<Affiliation>Department of Psychology, Dalhousie University, Halifax, Nova Scotia, Canada.</Affiliation>
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<LastName>Battista</LastName>
<ForeName>Susan R</ForeName>
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<ForeName>Heather G</ForeName>
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<Year>2008</Year>
<Month>07</Month>
<Day>02</Day>
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<MeshHeading>
<DescriptorName MajorTopicYN="N">Anxiety</DescriptorName>
<QualifierName MajorTopicYN="N">etiology</QualifierName>
<QualifierName MajorTopicYN="Y">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName MajorTopicYN="N">Behavior, Addictive</DescriptorName>
<QualifierName MajorTopicYN="N">complications</QualifierName>
<QualifierName MajorTopicYN="Y">psychology</QualifierName>
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<MeshHeading>
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<QualifierName MajorTopicYN="N">epidemiology</QualifierName>
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</MeshHeading>
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<DescriptorName MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName MajorTopicYN="N">Motivation</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName MajorTopicYN="N">Questionnaires</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName MajorTopicYN="N">Reinforcement (Psychology)</DescriptorName>
</MeshHeading>
<MeshHeading>
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<QualifierName MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName MajorTopicYN="Y">psychology</QualifierName>
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<AbstractText>The paper is concerned with two models of early visual processing which predict that priming of a visual mask by a preceding masked stimulus speeds up conscious perception of the mask (perceptual latency priming). One model ascribes this speed-up to facilitation by visuo-spatial attention [Scharlau, I., & Neumann, O. (2003a). Perceptual latency priming by masked and unmasked stimuli: Evidence for an attentional explanation. Psychological Research 67, 184-197], the other attributes it to nonspecific upgrading mediated by retino-thalamic and thalamo-cortical pathways [Bachmann, T. (1994). Psychophysiology of visual masking: The fine structure of conscious experience. Commack, NY: Nova Science Publishers]. The models make different predictions about the time course of perceptual latency priming. Four experiments test these predictions. The results provide more support for the attentional than for the upgrading model. The experiments further demonstrate that testing latency facilitation with temporal-order judgments may induce a methodological problem resulting in fairly low estimates. A method which provides a more exhaustive measure is suggested and tested.</AbstractText>
</Abstract>
<Affiliation>Department of Psychology, Bielefeld University, P.O. Box 10 01 31, D-33501 Bielefeld, Germany. [email protected]</Affiliation>
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