"V.N. Volochinov en contexte: essai d'épistémologie historique"

Cette thèse de doctorat porte sur la pensée de Valentin Volochinov (1895-1936) et le contexte intellectuel russe du début du XXe siècle dans lequel elle a été élaborée. Le cadre spatial de l'étude est la Russie. Le cadre temporel correspond aux années 1890-1920. Fait dans le cadre des « études bakhtiniennes », ce travail propose une démarche inverse de celle utilisée jusqu'à présent dans ce domaine. Son objectif est d'explorer les conséquences pratiques de trois hypothèses : 1) Valentin Volochinov (et non pas Mikhaïl Bakhtine) est l'auteur des textes parus sous son nom dans les années 1920 ; 2) Valentin Volochinov est un chercheur indépendant de Mikhaïl Bakhtine et de Pavel Medvedev (et non pas seulement un des membres du « Cercle de Bakhtine » ou du « groupe B.M.V. » dont le projet scientifique serait incompréhensible sans le recours aux textes bakhtiniens et/ou de Medvedev) ; 3) la connaissance du contexte intellectuel général dans lequel a travaillé Valentin Volochinov (c'est-à-dire l'ensemble des textes et des discussions scientifiques qui se sont déroulées dans les revues et les institutions scientifiques autour des thèmes abordés dans les textes signés dans les années 1920 par Volochinov) joue un rôle de premier plan dans l'interprétation de sa conception. L'analyse de la terminologie utilisée dans les travaux de Volochinov (en particulier de la notion d'« idéologie » et de méthode « marxiste »), ainsi que l'examen des idées ayant trait à la philosophie du langage (la réception des idées de Saussure, la polémique avec Rozalija Chor sur des principes de la science du langage « marxiste », la critique de la conception du «mot» de Gustav Chpet), psychologiques (la critique de la théorie psychanalytique de Sigmund Freud, l'élaboration de la notion de conscience, la recherche des bases de la psychologie « marxiste ») et sociologiques (l'analyse de l'interaction socio-verbale et l'élaboration de la théorie de l'énoncé) amènent à la conclusion que les hypothèses avancées sont justes et le mode de lecture adopté dans le travail est rentable : il suscite des interprétations différentes de celles proposées jusqu'à présent. Il permet, par exemple, de mettre en évidence les particularités du marxisme russe des années 1920 considéré par les intellectuels de l'époque, d'une part, comme une méthode des recherches dont les principes fondamentaux sont le matérialisme, le monisme, le déterminisme (y compris social), la dialectique et, d'autre part, comme une doctrine sociologique. Compris en ce sens, le marxisme fait partie de l'histoire de la sociologie russe qui comprend également des conceptions dites « bourgeoises » ou « positivistes » comme, par exemple, celle d'Eugène de Roberty, qui insiste dans ses travaux sur le primat du social sur l'individuel, autrement dit qui met en avant le principe du déterminisme social souvent associé uniquement au «sociologisme marxisant». L'oeuvre de Volochinov ne contient pas, par conséquent, d'éléments de «sociologisme vulgaire», elle s'inscrit dans l'histoire des idées sociologiques russes où il n'y a pas de rupture nette entre les conceptions dites «bourgeoises» et marxistes. Le marxisme de Volochinov n'est pas révolutionnaire. Il ne peut pas non plus être associé aux idées psychanalytiques. La preuve est le refus radical de l'existence de l'inconscient (ou plutôt d'une force inconsciente) qui déterminerait le comportement des individus sans qu'ils s'en rendent compte. Le projet scientifique de Volochinov consiste à analyser la conscience (les faits psychiques), ainsi que le langage, l'énoncé et les structures syntaxiques dans lesquelles l'énoncé se réalise en tant qu'éléments constitutifs de l'échange social et/ou verbal, qui se trouve au centre de vives discussions menées à la charnière des XIXe-XXe siècles par les chercheurs russes d'orientation marxiste et non marxiste. Pour comprendre ce projet il n'est pas nécessaire de faire appel aux idées de Bakhtine et de Medvedev : la lecture en contexte des textes signés dans les années 1920 par Volochinov met ainsi en doute l'idée qui domine actuellement dans le monde francophone que Bakhtine serait leur véritable auteur.

Clonal deletion of V beta 14-bearing T cells in mice transgenic for mammary tumour virus.

Autoreactive T lymphocytes are clonally deleted during maturation in the thymus. Deletion of T cells expressing particular receptor V beta elements is controlled by poorly defined autosomal dominant genes. A gene has now been identified by expression of transgenes in mice which causes deletion of V beta 14+ T cells. The gene lies in the open reading frame of the long terminal repeat of the mouse mammary tumour virus.

Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations.

High blood pressure (BP) is more prevalent and contributes to more severe manifestations of cardiovascular disease (CVD) in African Americans than in any other United States ethnic group. Several small African-ancestry (AA) BP genome-wide association studies (GWASs) have been published, but their findings have failed to replicate to date. We report on a large AA BP GWAS meta-analysis that includes 29,378 individuals from 19 discovery cohorts and subsequent replication in additional samples of AA (n = 10,386), European ancestry (EA) (n = 69,395), and East Asian ancestry (n = 19,601). Five loci (EVX1-HOXA, ULK4, RSPO3, PLEKHG1, and SOX6) reached genome-wide significance (p < 1.0 × 10(-8)) for either systolic or diastolic BP in a transethnic meta-analysis after correction for multiple testing. Three of these BP loci (EVX1-HOXA, RSPO3, and PLEKHG1) lack previous associations with BP. We also identified one independent signal in a known BP locus (SOX6) and provide evidence for fine mapping in four additional validated BP loci. We also demonstrate that validated EA BP GWAS loci, considered jointly, show significant effects in AA samples. Consequently, these findings suggest that BP loci might have universal effects across studied populations, demonstrating that multiethnic samples are an essential component in identifying, fine mapping, and understanding their trait variability.

Immunotherapy with Bet v 1 derived contiguous overlapping peptides leads to long-term immunoregulatory responses

Background: Allergen-specific immunotherapy with whole pollen extract may induce anaphylaxis, is poorly standardized and of long duration.We thus designed a randomized, placebo-controlled phase I/II clinical trial in volunteers with birch pollen allergic rhinitis and asthma to evaluate the safety and immunogenicity of a novel immunotherapy based on contiguous overlapping peptides (COPs) derived from Bet v 1, the major birch pollen allergen. Methods: A mixture of three COPs (AllerT™, Anergis SA, Switzerland) spanning the whole Bet v 1 molecule was selected for its inability to bind IgE. Prior to the pollen season, AllerT (in Alum) was injected subcutaneously to 15 adult volunteers at D0 (57 g), D7, D14, D21 and D51 (95 g each). Control volunteers (n = 5) only received the adjuvant. Results: Overall AllerT was safe. No serious adverse events and no immediate allergic reactions were reported. AllerT induced a vigorous early Bet v 1 specific immune response marked by vaccine associated INF- and IL- 10 secretion. This contributed to a strong anti-Bet v 1-specific IgG4 enhancement. Moreover, 2 months after the second season post treatment (July 2010), serum Bet v 1 specific IgG4 response was still markedly increased as compared to pre-treatment values and to placebo whereas post seasonal Bet v 1 specific IgE titers were similar to baseline values. Conclusion: Our data indicate that immunotherapy with a mixture of three COPs derived from Bet v 1 (AllerT) was safe and immunogenic, and led to long-term immunological memory.

NSAIDs inhibit alpha V beta 3 integrin-mediated and Cdc42/Rac-dependent endothelial-cell spreading, migration and angiogenesis.

Cyclooxygenase-2 (COX-2), a key enzyme in arachidonic acid metabolism, is overexpressed in many cancers. Inhibition of COX-2 by nonsteroidal anti-inflammatory drugs (NSAIDs) reduces the risk of cancer development in humans and suppresses tumor growth in animal models. The anti-cancer effect of NSAIDs seems to involve suppression of tumor angiogenesis, but the underlying mechanism is not completely understood. Integrin alpha V beta 3 is an adhesion receptor critically involved in mediating tumor angiogenesis. Here we show that inhibition of endothelial-cell COX-2 by NSAIDs suppresses alpha V beta 3-dependent activation of the small GTPases Cdc42 and Rac, resulting in inhibition of endothelial-cell spreading and migration in vitro and suppression of fibroblast growth factor-2-induced angiogenesis in vivo. These results establish a novel functional link between COX-2, integrin alpha V beta 3 and Cdc42-/Rac-dependent endothelial-cell migration. Moreover, they provide a rationale to the understanding of the anti-angiogenic activity of NSAIDs.

T cell receptor beta chain gene rearrangements and V beta gene usage in horse cytochrome c-specific T cell hybridomas.

Comparison of T cell receptor alpha and beta-chain genes in murine major histocompatibility complex (MHC) class I and class II-restricted T cell clones and hybridomas recognizing different antigens indicates that no simple correlation exists between the observed antigen/MHC specificity and the expression of certain alpha and beta-chain heterodimers. We have attempted to establish a possible correlation by analyzing T cell receptor beta chain gene rearrangements and V beta gene usage in five T cell hybridomas with identical antigen/MHC specificity and another hybridoma recognizing a different antigenic determinant in association with the same restriction molecule. We report here that in each of the five clones a uniquely rearranged beta chain gene is expressed in combination with at least two different V beta gene segments. The presence of the differently rearranged T cell receptor beta chain genes correlated with the finding of distinct fine specificity pattern of antigen recognition in each of the hybridomas. Interestingly, two hybridomas specific for different epitopes showed identical beta chain D-J rearrangements indicating that the differences might be encoded by the alpha chain gene or/and the V beta gene element.

Ispol'zovanie metodov teorii vosstanovleniia v modeliakh optimal'nogo dobyvaniia pishchi [Restoration theory in models of optimal feeding behavior]

The method of stochastic dynamic programming is widely used in ecology of behavior, but has some imperfections because of use of temporal limits. The authors presented an alternative approach based on the methods of the theory of restoration. Suggested method uses cumulative energy reserves per time unit as a criterium, that leads to stationary cycles in the area of states. This approach allows to study the optimal feeding by analytic methods.

How to assign a likelihood ratio in a footwear mark case: an analysis and discussion in the light of R v T

This article analyses and discusses issues that pertain to the choice of relevant databases for assigning values to the components of evaluative likelihood ratio procedures at source level. Although several formal likelihood ratio developments currently exist, both case practitioners and recipients of expert information (such as judiciary) may be reluctant to consider them as a framework for evaluating scientific evidence in context. The recent ruling R v T and ensuing discussions in many forums provide illustrative examples for this. In particular, it is often felt that likelihood ratio-based reasoning amounts to an application that requires extensive quantitative information along with means for dealing with technicalities related to the algebraic formulation of these approaches. With regard to this objection, this article proposes two distinct discussions. In a first part, it is argued that, from a methodological point of view, there are additional levels of qualitative evaluation that are worth considering prior to focusing on particular numerical probability assignments. Analyses will be proposed that intend to show that, under certain assumptions, relative numerical values, as opposed to absolute values, may be sufficient to characterize a likelihood ratio for practical and pragmatic purposes. The feasibility of such qualitative considerations points out that the availability of hard numerical data is not a necessary requirement for implementing a likelihood ratio approach in practice. It is further argued that, even if numerical evaluations can be made, qualitative considerations may be valuable because they can further the understanding of the logical underpinnings of an assessment. In a second part, the article will draw a parallel to R v T by concentrating on a practical footwear mark case received at the authors' institute. This case will serve the purpose of exemplifying the possible usage of data from various sources in casework and help to discuss the difficulty associated with reconciling the depth of theoretical likelihood ratio developments and limitations in the degree to which these developments can actually be applied in practice.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.