89 resultados para CLAS
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Imprimatur: Borgå domkapitel 5.10.1853 Clas Molander.
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Ensimmäinen osa julkaistu nimellä: Uusi täydellisin rukous-kirja.
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Imprimatur: Borgå domkapitel 27.6.1849 Clas Molander.
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Sarjan ensimmäisen osan esipuheessa: Tätä tarwista ai'otaan nyt auttaa toimittamalla käännöksiä suomeksi Pohjois-Saksan ristillisen yhtiön annetuista sekä annettwista kirjoista.
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Imprimatur: Borgå domkapitel 27.6.1849 Clas Molander.
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Nimiösivulla myös: Wiidellä kuwalla.
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Tekijä mahdollisesti C. H. Ståhlberg.
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En este trabajo nos proponemos analizar la colocación latina poena afficere, ‘imponer un castigo’, un tipo de colocación con especificidades tanto sintácticas como semánticas que la distinguen de las construcciones verbo-nominales más prototípicas: el sustantivo predicativo funciona no como Objeto Directo sino como tercer argumento del verbo soporte, un esquema sintáctico que, como intentaremos demostrar, resulta ideal para la expresión de predicados causativos. De los ejemplos documentados de poena afficere en un amplio corpus de textos, intentaremos destacar las principales características de este tipo de colocación. Para su descripción y formalización nos serviremos del marco teórico propuesto por la Teoría Sentido-Texto.
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Objective: The study was designed to validate use of elec-tronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects. Method: EHR data were obtained from a health care system of more than 4.6 million patients spanning more than 20 years. Experienced clinicians reviewed charts to identify text features and coded data consistent or inconsistent with a diagnosis of bipolar disorder. Natural language processing was used to train a diagnostic algorithm with 95% specificity for classifying bipolar disorder. Filtered coded data were used to derive three additional classification rules for case subjects and one for control subjects. The positive predictive value (PPV) of EHR-based bipolar disorder and subphenotype di- agnoses was calculated against diagnoses from direct semi- structured interviews of 190 patients by trained clinicians blind to EHR diagnosis. Results: The PPV of bipolar disorder defined by natural language processing was 0.85. Coded classification based on strict filtering achieved a value of 0.79, but classifications based on less stringent criteria performed less well. No EHR- classified control subject received a diagnosis of bipolar dis- order on the basis of direct interview (PPV=1.0). For most subphenotypes, values exceeded 0.80. The EHR-based clas- sifications were used to accrue 4,500 bipolar disorder cases and 5,000 controls for genetic analyses. Conclusions: Semiautomated mining of EHRs can be used to ascertain bipolar disorder patients and control subjects with high specificity and predictive value compared with diagnostic interviews. EHRs provide a powerful resource for high-throughput phenotyping for genetic and clinical research.
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As usage metrics continue to attain an increasingly central role in library system assessment and analysis, librarians tasked with system selection, implementation, and support are driven to identify metric approaches that simultaneously require less technical complexity and greater levels of data granularity. Such approaches allow systems librarians to present evidence-based claims of platform usage behaviors while reducing the resources necessary to collect such information, thereby representing a novel approach to real-time user analysis as well as dual benefit in active and preventative cost reduction. As part of the DSpace implementation for the MD SOAR initiative, the Consortial Library Application Support (CLAS) division has begun test implementation of the Google Tag Manager analytic system in an attempt to collect custom analytical dimensions to track author- and university-specific download behaviors. Building on the work of Conrad , CLAS seeks to demonstrate that the GTM approach to custom analytics provides both granular metadata-based usage statistics in an approach that will prove extensible for additional statistical gathering in the future. This poster will discuss the methodology used to develop these custom tag approaches, the benefits of using the GTM model, and the risks and benefits associated with further implementation.
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The physicochemical characteristics of three Brazilian pears were investigated using elemental analysis, scanning electron microscopy (SEM), X-ray diffractometry (XRD) and studies of Cr(III) biosorption based on adsorption isotherms. Adsorption of Cr(III) by in natura peat from Santo Amaro das Brotas (Sergipe State) was much greater than by peats from either Ribeirao Preto (São Paulo State) or Itabaiana (Sergipe State), with adsorption capacities (q) of 4.90 +/- 0.01, 1.70 +/- 0.01 and 1.40 +/- 0.01 mgg (1), respectively. Pre-treatments with HCl and NaOH + HCl reduced adsorption by the Santo Amaro clas Brotas peat, showing that adsorption efficiency was associated with the amount of organic matter present. Conversely, increase in the mineral content following pre-treatment increased adsorption of Cr(III) by the Ribeirao Preto and Itabaiana peats. Highest adsorption (retention >95.0%) was achieved at equilibrium pH 4.0 using the Santo Amaro das Brotas peat. Experimental data for the adsorption of Cr(III) from aqueous solution onto this peat were fitted to the Langmuir equation, from which an equilibrium adsorption capacity, q(max), of 5.60 mgg(-1) was obtained, which was close to the experimentally determined value. (c) 2008 Elsevier B.V. All rights reserved.
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Things change. Words change, meaning changes and use changes both words and meaning. In information access systems this means concept schemes such as thesauri or clas- sification schemes change. They always have. Concept schemes that have survived have evolved over time, moving from one version, often called an edition, to the next. If we want to manage how words and meanings - and as a conse- quence use - change in an effective manner, and if we want to be able to search across versions of concept schemes, we have to track these changes. This paper explores how we might expand SKOS, a World Wide Web Consortium (W3C) draft recommendation in order to do that kind of tracking.The Simple Knowledge Organization System (SKOS) Core Guide is sponsored by the Semantic Web Best Practices and Deployment Working Group. The second draft, edited by Alistair Miles and Dan Brickley, was issued in November 2005. SKOS is a “model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, other types of controlled vocabulary and also concept schemes embedded in glossaries and terminologies” in RDF. How SKOS handles version in concept schemes is an open issue. The current draft guide suggests using OWL and DCTERMS as mechanisms for concept scheme revision.As it stands an editor of a concept scheme can make notes or declare in OWL that more than one version exists. This paper adds to the SKOS Core by introducing a tracking sys- tem for changes in concept schemes. We call this tracking system vocabulary ontogeny. Ontogeny is a biological term for the development of an organism during its lifetime. Here we use the ontogeny metaphor to describe how vocabularies change over their lifetime. Our purpose here is to create a conceptual mechanism that will track these changes and in so doing enhance information retrieval and prevent document loss through versioning, thereby enabling persistent retrieval.
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Classification schemes are built at a particular point in time; at inception, they reflect a worldview indicative of that time. This is their strength, but results in potential weak- nesses as worldviews change. For example, if a scheme of mathematics is not updated even though the state of the art has changed, then it is not a very useful scheme to users for the purposes of information retrieval. However, change in schemes is a good thing. Changing allows designers of schemes to update their model and serves as a responsible mediator between resources and users. But change does come at a cost. In the print world, we revise universal clas- sification schemes—sometimes in drastic ways—and this means that over time, the power of a classification scheme to collocate is compromised if we do not account for scheme change in the organization of affected physical resources. If we understand this phenomenon in the print world, we can design ameliorations for the digital world.