19 resultados para MARC format

em Université de Lausanne, Switzerland


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Les problèmes de santé mentale (détresse psychique, dépression, burn-out, etc.) sont une préoccupation grandissante dans les sociétés occidentales. Ils se caractérisent par de gros risques de rechutes et de chronicisation (Lopez, Mathers, Ezzati, Jamison, Murray, 2006; The WHO World Mental Health Survey Consortium, 2004), ainsi que par des conséquences dramatiques pour les personnes qui en sont les victimes. Pour les organisations - et la police n'échappe pas à ce phénomène - ces problèmes constituent un défi majeur puisqu'ils sont associés à des épisodes d'absences prolongées et à une diminution importante de l'efficacité au travail. [Auteur]

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The HUPO Proteomics Standards Initiative has developed several standardized data formats to facilitate data sharing in mass spectrometry (MS)-based proteomics. These allow researchers to report their complete results in a unified way. However, at present, there is no format to describe the final qualitative and quantitative results for proteomics and metabolomics experiments in a simple tabular format. Many downstream analysis use cases are only concerned with the final results of an experiment and require an easily accessible format, compatible with tools such as Microsoft Excel or R. We developed the mzTab file format for MS-based proteomics and metabolomics results to meet this need. mzTab is intended as a lightweight supplement to the existing standard XML-based file formats (mzML, mzIdentML, mzQuantML), providing a comprehensive summary, similar in concept to the supplemental material of a scientific publication. mzTab files can contain protein, peptide, and small molecule identifications together with experimental metadata and basic quantitative information. The format is not intended to store the complete experimental evidence but provides mechanisms to report results at different levels of detail. These range from a simple summary of the final results to a representation of the results including the experimental design. This format is ideally suited to make MS-based proteomics and metabolomics results available to a wider biological community outside the field of MS. Several software tools for proteomics and metabolomics have already adapted the format as an output format. The comprehensive mzTab specification document and extensive additional documentation can be found online.

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OBJECTIVE: To assess whether formatting the medical order sheet has an effect on the accuracy and security of antibiotics prescription. DESIGN: Prospective assessment of antibiotics prescription over time, before and after the intervention, in comparison with a control ward. SETTING: The medical and surgical intensive care unit (ICU) of a university hospital. PATIENTS: All patients hospitalized in the medical or surgical ICU between February 1 and April 30, 1997, and July 1 and August 31, 2000, for whom antibiotics were prescribed. INTERVENTION: Formatting of the medical order sheet in the surgical ICU in 1998. MEASUREMENTS AND MAIN RESULTS: Compliance with the American Society of Hospital Pharmacists' criteria for prescription safety was measured. The proportion of safe orders increased in both units, but the increase was 4.6 times greater in the surgical ICU (66% vs. 74% in the medical ICU and 48% vs. 74% in the surgical ICU). For unsafe orders, the proportion of ambiguous orders decreased by half in the medical ICU (9% vs. 17%) and nearly disappeared in the surgical ICU (1% vs. 30%). The only missing criterion remaining in the surgical ICU was the drug dose unit, which could not be preformatted. The aim of antibiotics prescription (either prophylactic or therapeutic) was indicated only in 51% of the order sheets. CONCLUSIONS: Formatting of the order sheet markedly increased security of antibiotics prescription. These findings must be confirmed in other settings and with different drug classes. Formatting the medical order sheet decreases the potential for prescribing errors before full computerized prescription is available.

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Marc présente l'identité divine de Jésus comme se dévoilant malgré lui. Jésus fait taire ceux qui la révèlent, qu'il s'agisse des démons ou de ses disciples. William Wrede a tenté d'expliquer cet état de fait à l'aide de la théorie du "secret messianique". Marc attribuerait à Jésus une stratégie de voilement intentionnel de sa filiation divine. L'auteur s'oppose à Wrede à l'aide de catégories empruntées à l'anthropologie culturelle: dans l'Antiquité, l'identité est attribuée par une instance ayant statut d'autorité. Par conséquent, le comportement manifesté par Jésus dans l'Evangile de Marc n'est pas l'expression d'une stratégie particulière mais le comportement attendu d'un individu qui respecte les règles d'attribution de l'honneur. De plus, Marc est méfiant à l'égard du titre "Christ" attribué à Jésus et préfère le titre "Fils de Dieu" compris au sens prophétique. Enfin, la raison qui pousse l'évangéliste à écrire résiderait dans la nécessité de défendre la légitimité de la tradition de sa communauté face à d'autres groupes chrétiens plus apostoliques.

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(Résumé de l'ouvrage) Les textes recueillis dans ce premier tome sont des apocryphes, ce qui signifie qu'en dépit d'un contenu comparable à celui des Écritures ils n'appartiennent pas au canon. En effet, soit ils s'écartent de la doctrine officielle de l'Église en véhiculant des idées hétérodoxes, soit ils font trop appel au merveilleux, aspect dont l'Église s'est toujours méfiée. Les textes de ce volume relèvent de l'Antiquité chrétienne et recoupent différents genres bibliques : évangiles, épîtres, Actes des apôtres, apocalypses.

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BACKGROUND: Molecular interaction Information is a key resource in modern biomedical research. Publicly available data have previously been provided in a broad array of diverse formats, making access to this very difficult. The publication and wide implementation of the Human Proteome Organisation Proteomics Standards Initiative Molecular Interactions (HUPO PSI-MI) format in 2004 was a major step towards the establishment of a single, unified format by which molecular interactions should be presented, but focused purely on protein-protein interactions. RESULTS: The HUPO-PSI has further developed the PSI-MI XML schema to enable the description of interactions between a wider range of molecular types, for example nucleic acids, chemical entities, and molecular complexes. Extensive details about each supported molecular interaction can now be captured, including the biological role of each molecule within that interaction, detailed description of interacting domains, and the kinetic parameters of the interaction. The format is supported by data management and analysis tools and has been adopted by major interaction data providers. Additionally, a simpler, tab-delimited format MITAB2.5 has been developed for the benefit of users who require only minimal information in an easy to access configuration. CONCLUSION: The PSI-MI XML2.5 and MITAB2.5 formats have been jointly developed by interaction data producers and providers from both the academic and commercial sector, and are already widely implemented and well supported by an active development community. PSI-MI XML2.5 enables the description of highly detailed molecular interaction data and facilitates data exchange between databases and users without loss of information. MITAB2.5 is a simpler format appropriate for fast Perl parsing or loading into Microsoft Excel.

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BACKGROUND: Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. RESULTS: We present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. CONCLUSIONS: SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.

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The use of synthetic combinatorial peptide libraries in positional scanning format (PS-SCL) has emerged recently as an alternative approach for the identification of peptides recognized by T lymphocytes. The choice of both the PS-SCL used for screening experiments and the method used for data analysis are crucial for implementing this approach. With this aim, we tested the recognition of different PS-SCL by a tyrosinase 368-376-specific CTL clone and analyzed the data obtained with a recently developed biometric data analysis based on a model of independent and additive contribution of individual amino acids to peptide antigen recognition. Mixtures defined with amino acids present at the corresponding positions in the native sequence were among the most active for all of the libraries. Somewhat surprisingly, a higher number of native amino acids were identifiable by using amidated COOH-terminal rather than free COOH-terminal PS-SCL. Also, our data clearly indicate that when using PS-SCL longer than optimal, frame shifts occur frequently and should be taken into account. Biometric analysis of the data obtained with the amidated COOH-terminal nonapeptide library allowed the identification of the native ligand as the sequence with the highest score in a public human protein database. However, the adequacy of the PS-SCL data for the identification for the peptide ligand varied depending on the PS-SCL used. Altogether these results provide insight into the potential of PS-SCL for the identification of CTL-defined tumor-derived antigenic sequences and may significantly implement our ability to interpret the results of these analyses.