1000 resultados para Système de justice criminel
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AIM: The antihypertensive effect of renal denervation in hypertensive patients is partially explained by increased tubular natriuresis. To study the possible contribution of the kallikrein-kinin system (KKS) to this natriuretic effect in rats, we measured kallikrein activity (KA) and bradykinin concentrations (BK) in plasma and tissues. METHODS: To measure KA, we adapted and validated an enzymatic assay that cleaves para-nitroaniline (pNA) from the tripeptide H-D-Pro-Phe-Arg-pNA. The coefficients of variation (CV) within- and between-assays were less than 8% for plasma and tissue KA (plasma n=6 and 13; tissue n=4). Linear results for serially diluted samples confirmed the assay specificity. Tissue BK determinations were based on an established assay for plasma BK: tissue was homogenized and kinins extracted in ethanol, and BK was isolated by high-performance (HPLC) liquid chromatography and quantitated by radioimmunassay. Within- and between-assay CV for plasma BK were 18% (n=8 and n=35, respectively) and for BK in various tissues less than 16% (n=5-8). RESULTS: In male Wistar rats (n=3), plasma BK was 8.2±6.6 fmol/mL (mean±SD), and tissue BK (fmol/g) in 14 tested organs varied between brain (14±3) and submaxillary gland (521±315). Six days after left-sided unilateral renal denervation, left renal tissue BK (89±9) was not different from right renal BK (75±23). Similarly, KA was comparable in the two kidneys (left 18.0±1.5, right 15.8±1.4μkat/g). CONCLUSION: Any possible effect of unilateral renal denervation on the kidney's KKS would have to be bilateral.
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State Audit Reports
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Science méconnue en Suisse, l'entomologie forensique a été développée depuis 1993 en Suisse romande. Les insectes utilisés dans cette discipline appartiennent principalement aux ordres des diptères et des coléoptères. Une présentation des principales familles et leur biologie permettent de comprendre l'utilité de ces espèces dans le calcul de l'intervalle post-mortem et leur utilisation potentielle dans les affaires criminelles
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[Acte. 1793-01-31]
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Suite à trois années de concertation, le Département de l'instruction publique du canton de Genève a mis en place un « nouveau fonctionnement » de l'enseignement primaire à la rentrée scolaire de septembre 2008. La mise en oeuvre du nouveau dispositif était accompagnée de la création d'un outil d'évaluation externe appelé « Observatoire du fonctionnement de l'enseignement primaire ». L'analyse de cet outil d'évaluation fait l'objet du présent article. La problématique développée vise à montrer que, si l'expertise en matière d'évaluation de l'éducation n'est pas la science, elle peut toutefois être modestement fondée sur les valeurs de la production des connaissances, voire contribuer à quelque production de connaissances limitées aux « hypothèses mineures qui jaillissent chaque jour à foison dans le travail quotidien de la recherche » (Merton, 1965, pp. 13-14).
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Biographies of Cristine Wilson Medal for Equality and Justice Recipients
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Data mining can be defined as the extraction of previously unknown and potentially useful information from large datasets. The main principle is to devise computer programs that run through databases and automatically seek deterministic patterns. It is applied in different fields of application, e.g., remote sensing, biometry, speech recognition, but has seldom been applied to forensic case data. The intrinsic difficulty related to the use of such data lies in its heterogeneity, which comes from the many different sources of information. The aim of this study is to highlight potential uses of pattern recognition that would provide relevant results from a criminal intelligence point of view. The role of data mining within a global crime analysis methodology is to detect all types of structures in a dataset. Once filtered and interpreted, those structures can point to previously unseen criminal activities. The interpretation of patterns for intelligence purposes is the final stage of the process. It allows the researcher to validate the whole methodology and to refine each step if necessary. An application to cutting agents found in illicit drug seizures was performed. A combinatorial approach was done, using the presence and the absence of products. Methods coming from the graph theory field were used to extract patterns in data constituted by links between products and place and date of seizure. A data mining process completed using graphing techniques is called ``graph mining''. Patterns were detected that had to be interpreted and compared with preliminary knowledge to establish their relevancy. The illicit drug profiling process is actually an intelligence process that uses preliminary illicit drug classes to classify new samples. Methods proposed in this study could be used \textit{a priori} to compare structures from preliminary and post-detection patterns. This new knowledge of a repeated structure may provide valuable complementary information to profiling and become a source of intelligence.