Le dialogisme intertextuel des contes des Grimm

Loin d'être « purement allemands », nombre de contes des Grimm réécrivent les contes français largement diffusés en Allemagne au 18e siècle en les « reconfigurant » selon leurs propres paradigmes esthétiques et idéologiques. L'étude introductive de la comparatiste Ute Heidmann montre que ce dialogisme européen est resté peu exploré en raison d'une « scénographie en trompe-l'oeil » qui les présente comme issus du « terroir » hessois. Toutefois, les notes des Grimm (constituées en volume autonome dès 1822), dont une partie importante est traduite et commentée ici pour la première fois en français par Loreto Núñez, indiquent ces intertextes tout en les faisant passer pour des « correspondances » dues à une origine commune. L'étude de Jean Mainil retrace le dialogue intertextuel de Rapunzel (Raiponce) avec Persinette de La Force et Petrosinella de Basile. Les cinq études suivantes de Cyrille François, Nathalie Prince, Pascale Auraix-Jonchière, Jean-Michel Adam et Marcio Venício Barbosa retracent les dialogues intertextuels que les contes des Grimm, eux-mêmes fondamentalement intertextuels, ont sollicité à leur tour dans des textes du 19e et du 20e siècle. Elles montrent comment Hans-Christian Andersen, Jean Lorrain (dont l'étonnant conte Neigefleur est reproduit à la suite de l'étude de Nathalie Prince), Robert Walser, Henry Pourrat et les écrivains brésiliens Millôr Ferandes, Mario Prata, Chico Buarque et Guimarães Rosa inventent de nouvelles formes et des procédés intertextuels originaux en réponse aux contes des Grimm en créant de nouveaux contes originaux comme l'avaient fait les Grimm eux-mêmes en réponse aux narrateurs français. Dans les Mélanges, Veronica Bonanni prolonge ce dossier par une étude consacrée à la traduction par Collodi de L'Oiseau bleue de Marie-Catherine d'Aulnoy, qui procède également d'un véritable dialogue intertextuel.

A new electrophysiological index for working memory load in humans.

Working memory, the ability to store and simultaneously manipulate information, is affected in several neuropsychiatric disorders which lead to severe cognitive and functional deficits. An electrophysiological marker for this process could help identify early cerebral function abnormalities. In subjects performing working memory-specific n-back tasks, event-related potential analysis revealed a positive-negative waveform (PNwm) component modulated in amplitude by working memory load. It occurs in the expected time range for this process, 140-280 ms after stimulus onset, superimposed on the classical P200 and N200 components. Independent Component Analysis extracted two functional components with latencies and topographical scalp distributions similar to the PNwm. Our results imply that the PNwm represents a new electrophysiological index for working memory load in humans.

Metabolic effects of diets differing in glycaemic index depend on age and endogenous glucose-dependent insulinotrophic polypeptide in mice.

AIMS/HYPOTHESIS: High- vs low-glycaemic index (GI) diets unfavourably affect body fat mass and metabolic markers in rodents. Different effects of these diets could be age-dependent, as well as mediated, in part, by carbohydrate-induced stimulation of glucose-dependent insulinotrophic polypeptide (GIP) signalling. METHODS: Young-adult (16 weeks) and aged (44 weeks) male wild-type (C57BL/6J) and GIP-receptor knockout (Gipr ( -/- )) mice were exposed to otherwise identical high-carbohydrate diets differing only in GI (20-26 weeks of intervention, n = 8-10 per group). Diet-induced changes in body fat distribution, liver fat, locomotor activity, markers of insulin sensitivity and substrate oxidation were investigated, as well as changes in the gene expression of anorexigenic and orexigenic hypothalamic factors related to food intake. RESULTS: Body weight significantly increased in young-adult high- vs low-GI fed mice (two-way ANOVA, p < 0.001), regardless of the Gipr genotype. The high-GI diet in young-adult mice also led to significantly increased fat mass and changes in metabolic markers that indicate reduced insulin sensitivity. Even though body fat mass also slightly increased in high- vs low-GI fed aged wild-type mice (p < 0.05), there were no significant changes in body weight and estimated insulin sensitivity in these animals. However, aged Gipr ( -/- ) vs wild-type mice on high-GI diet showed significantly lower cumulative net energy intake, increased locomotor activity and improved markers of insulin sensitivity. CONCLUSIONS/INTERPRETATION: The metabolic benefits of a low-GI diet appear to be more pronounced in younger animals, regardless of the Gipr genotype. Inactivation of GIP signalling in aged animals on a high-GI diet, however, could be beneficial.

Mortality risk of obesity and underweight is overestimated with self-reported body mass index.

Obese persons (those with a body mass index [BMI] ≥30 kg/m2) tend to underestimate their weight, leading to an underestimation of their true (measured) BMI and obesity prevalence.1,2 In contrast, underweight people (BMI <18.5 kg/m2) tend to report themselves heavier, resulting in a higher BMI compared with measured BMI and an underestimation of underweight prevalence.

The inter-rater reliability of the Pulmonary Embolism Severity Index.

The Pulmonary Embolism Severity Index (PESI) is a validated clinical prognostic model for patients with acute pulmonary embolism (PE). Our goal was to assess the PESI's inter-rater reliability in patients diagnosed with PE. We prospectively identified consecutive patients diagnosed with PE in the emergency department of a Swiss teaching hospital. For all patients, resident and attending physician raters independently collected the 11 PESI variables. The raters then calculated the PESI total point score and classified patients into one of five PESI risk classes (I-V) and as low (risk classes I/II) versus higher-risk (risk classes III-V). We examined the inter-rater reliability for each of the 11 PESI variables, the PESI total point score, assignment to each of the five PESI risk classes, and classification of patients as low versus higher-risk using kappa (κ) and intra-class correlation coefficients (ICC). Among 48 consecutive patients with an objective diagnosis of PE, reliability coefficients between resident and attending physician raters were > 0.60 for 10 of the 11 variables comprising the PESI. The inter-rater reliability for the PESI total point score (ICC: 0.89, 95% CI: 0.81-0.94), PESI risk class assignment (κ: 0.81, 95% CI: 0.66-0.94), and the classification of patients as low versus higher-risk (κ: 0.92, 95% CI: 0.72-0.98) was near perfect. Our results demonstrate the high reproducibility of the PESI, supporting the use of the PESI for risk stratification of patients with PE.

Vade-Mecum de Pédiatrie

Ce livre qui s'adresse aux médecins et étudiants en formation de pédiatrie, mais également aux médecins de famille installés en pratique privée, traite de manière synthétique (texte court, algorithme et références essentielles) les situations d'urgences médico- chirurgicales de l'enfant, les problématiques courantes de néonatologie ainsi que les motifs de consultation les plus habituels en pédiatrie et chirurgie pédiatrique générale. Les problématiques psycho-sociales sont également évoquées. Un index thérapeutique complète l'ouvrage.

Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models.

BACKGROUND: We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. METHODS: Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i) linear regression; (ii) logistic classification; (iii) regression trees; (iv) classification trees (iii and iv are collectively known as "CART"). Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. RESULTS: Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60-80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. CONCLUSIONS: There were no striking differences between either the algebraic (i, ii) vs. non-algebraic (iii, iv), or the regression (i, iii) vs. classification (ii, iv) modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.