Dialogism and dialogicality in the study of the self

This article stems from the statement that dialogical approaches to a study of the self face a double challenge: that of developing a conception of the self that both avoids social reductionism and accounts for the stability of the self. In discussing this double challenge, we identify three much debated issues: (a) To what does the notion of "Alter" exactly refer? (b) How could we conceptualize the fact that Subject-Alter interactions are not only interpersonal but entail larger social entities, in particular institutions? (c)What importance should we attach to the materiality of objects? We discuss these three questions from two standpoints - that of linguistics and that of psychology - and illustrate our theoretical proposals with an analysis of an excerpt taken from a focus-group discussion. In conclusion, we argue that the dialogism of discourse provides us with some clues about the dialogicality of the mind, whereas the latter invites us to develop a theory showing the importance of interactions in the construction of the self, to pay more attention to the transpersonal dimension of the social, and to consider that the material world contributes to the construction of the self.

Respiratory motion artifact suppression in diffusion-weighted MR imaging of the spine.

Diffusion-weighted spin-echo imaging of the spine has been successfully implemented for differentiation of benign fracture edema and tumor infiltration of the vertebral body. Nevertheless, this technique still suffers from insufficient image quality in numerous patients due to motion artifacts. The aim of this study was to investigate the impact of variable respiratory motion artifact suppression techniques on image quality in diffusion-weighted spin-echo imaging of the spine. In addition to phase-encoding reordering, a newly implemented right hemi-diaphragmaitc navigator for respiratory gating was used. Subjective and objective image quality parameters were compared. Respiratory motion artifact suppression has a major impact on image quality in diffusion-weighted imaging of the spine. Phase-encoding reordering does not enhance image quality while right hemi-diaphragmatic respiratory navigator gating significantly improves image quality at the cost of data acquisition time. Navigator gating should be used if standard spin-echo diffusion-weighted imaging demonstrates insufficient image quality.

Variant within the promoter region of the CHRNA3 gene associated with FTN dependence is not related to self-reported willingness to quit smoking.

INTRODUCTION: Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region is robustly associated with smoking quantity. Conversely, the association between one of the most significant single nucleotide polymorphisms (SNPs; rs1051730 within the CHRNA3 gene) with perceived difficulty or willingness to quit smoking among current smokers is unknown. METHODS: Cross-sectional study including current smokers, 502 women, and 552 men. Heaviness of smoking index (HSI), difficulty, attempting, and intention to quit smoking were assessed by questionnaire. RESULTS: The rs1051730 SNP was associated with increased HSI (age, gender, and education-adjusted mean ± SE: 2.6 ± 0.1, 2.2 ± 0.1, and 2.0 ± 0.1 for AA, AG, and GG genotypes, respectively, p < .01). Multivariate logistic regression adjusting for gender, age, education, leisure-time physical activity, and personal history of cardiovascular or lung disease showed rs1051730 to be associated with higher smoking dependence (odds ratio [OR] and 95% CI for each additional A-allele: 1.38 [1.11-1.72] for smoking more than 20 cigarette equivalents/day; 1.31 [1.00-1.71] for an HSI ≥5 and 1.32 [1.05-1.65] for smoking 5 min after waking up) and borderline associated with difficulty to quit (OR = 1.29 [0.98-1.70]), but this relationship was no longer significant after adjusting for nicotine dependence. Also, no relationship was found with willingness (OR = 1.03 [0.85-1.26]), attempt (OR = 1.00 [0.83-1.20]), or preparation (OR = 0.95 [0.38-2.38]) to quit. Similar findings were obtained for other SNPs, but their effect on nicotine dependence was no longer significant after adjusting for rs1051730. Conclusions: These data confirm the effect of rs1051730 on nicotine dependence but failed to find any relationship with difficulty, willingness, and motivation to quit.

Cysteine-rich Domain 1 of CD40 Mediates Receptor Self-assembly.

The activation of CD40 on B cells, macrophages, and dendritic cells by its ligand CD154 (CD40L) is essential for the development of humoral and cellular immune responses. CD40L and other TNF superfamily ligands are noncovalent homotrimers, but the form under which CD40 exists in the absence of ligand remains to be elucidated. Here, we show that both cell surface-expressed and soluble CD40 self-assemble, most probably as noncovalent dimers. The cysteine-rich domain 1 (CRD1) of CD40 participated to dimerization and was also required for efficient receptor expression. Modelization of a CD40 dimer allowed the identification of lysine 29 in CRD1, whose mutation decreased CD40 self-interaction without affecting expression or response to ligand. When expressed alone, recombinant CD40-CRD1 bound CD40 with a KD of 0.6 μm. This molecule triggered expression of maturation markers on human dendritic cells and potentiated CD40L activity. These results suggest that CD40 self-assembly modulates signaling, possibly by maintaining the receptor in a quiescent state.

IRM de diffusion dans l'exploration des tumeurs du foie.

Messages à retenir: Connaître le principe physique de l'imagerie de diffusion (DWI) à l'IRM adaptée à l'exploration des tumeurs du foie.Savoir la bonne technique d'acquisition des séquences pour évaluer la diffusion du parenchyme hépatique ainsi que des lésions focales intra -hépatiques les plusfréquentes.Apprendre l'utilité de la DWI pour évaluer le succès d'un traitement médical oncologique ou interventionnel .Discuter les avantages et les pièges liés à la DWI hépatique susceptibles d'influencer l'interprétation des tumeurs hépatiques. Résumé: Le principe d'imagerie de diffusion (DWI) à l'IRM repose sur la mobilité des molécules d'eau dans les différents tissus. Ce «mouvement Brownien» dépend de lacellularité tissulaire , des membranes cellulaires intactes et de la vascularisation . L'augmentation de ces paramètres précités résulte en une restriction de ladiffusion moléculaire, caractérisée par un hypersignal, puis quantifié par le calcul d'un coefficient apparent de diffusion (ADC). Basée sur des séquenceséchoplanaires pondérées en T2, la technique d'acquisition est rapide et non-invasive, donc souvent intégrée à l'IRM hépatique de routine. La DWI s'est révéléetrès sensible pour la détection de tumeurs hépatiques, même à un diamètre infracentimétrique. Néanmoins, sans être très spécifique, elle ne donne pas d'information certaine sur le caractère bénin ou malin, et elle doit être interprétée avec les autres séquences d'IRM et dans le contexte clinique donné. L'informationdiagnostique résultant de la DWI est morphologique et fonctionnelle, ce qui permet d'évaluer le succès de traitements oncologiques, notamment en absence dechangement de taille ou persistance de prise de contraste des lésions hépatiques. Très sensibles aux mouvements respiratoires, la DWI hépatique peut êtreaccompagnée d'artéfacts, qui influencent le calcul de l'ADC dont la valeur dépend de la machine IRM utilisée.

Steady-state expression of self-regulated genes.

MOTIVATION: Regulatory gene networks contain generic modules such as feedback loops that are essential for the regulation of many biological functions. The study of the stochastic mechanisms of gene regulation is instrumental for the understanding of how cells maintain their expression at levels commensurate with their biological role, as well as to engineer gene expression switches of appropriate behavior. The lack of precise knowledge on the steady-state distribution of gene expression requires the use of Gillespie algorithms and Monte-Carlo approximations. METHODOLOGY: In this study, we provide new exact formulas and efficient numerical algorithms for computing/modeling the steady-state of a class of self-regulated genes, and we use it to model/compute the stochastic expression of a gene of interest in an engineered network introduced in mammalian cells. The behavior of the genetic network is then analyzed experimentally in living cells. RESULTS: Stochastic models often reveal counter-intuitive experimental behaviors, and we find that this genetic architecture displays a unimodal behavior in mammalian cells, which was unexpected given its known bimodal response in unicellular organisms. We provide a molecular rationale for this behavior, and we implement it in the mathematical picture to explain the experimental results obtained from this network.

Why do scientists migrate? A diffusion model

The article is intended to improve our understanding of the reasons underlying the intellectual migration of scientists from well-known cognitive domains to nascent scientific fields. To that purpose we present, first, a number of findings from the sociology of science that give different insights about this phenomenon. We then attempt to bring some of these insights together under the conceptual roof of an actor-based approach linking expected utility and diffusion theory. Intellectual migration is regarded as the rational choice of scientists who decide under uncertainty and on the base of a number of decision-making variables, which define probabilities, costs, and benefits of the migration.

Struggles for meaning and struggles for control: the diffusion of bandwagon technology in two institutional environments

In this thesis, I examine the diffusion process for a complex medical technology, the PET scanner, in two different health care systems, one of which is more market-oriented (Switzerland) and the other more centrally managed by a public agency (Quebec). The research draws on institutional and socio-political theories of the diffusion of innovations to examine how institutional contexts affect processes of diffusion. I find that diffusion proceeds more rapidly in Switzerland than in Quebec, but that processes in both jurisdictions are characterized by intense struggles among providers and between providers and public agencies. I show that the institutional environment influences these processes by determining the patterns of material resources and authority available to actors in their struggles to strategically control the technology, and by constituting the discursive resources or institutional logics on which actors may legitimately draw in their struggles to give meaning to the technology in line with their interests and values. This thesis illustrates how institutional structures and meanings manifest themselves in the context of specific decisions within an organizational field, and reveals the ways in which governance structures may be contested and realigned when they conflict with interests that are legitimized by dominant institutional logics. It is argued that this form of contestation and readjustment at the margins constitutes one mechanism by which institutional frameworks are tested, stretched and reproduced or redefined.

Representing diffusion MRI in 5D for segmentation of white matter tracts with a level set method.

We present a method for segmenting white matter tracts from high angular resolution diffusion MR. images by representing the data in a 5 dimensional space of position and orientation. Whereas crossing fiber tracts cannot be separated in 3D position space, they clearly disentangle in 5D position-orientation space. The segmentation is done using a 5D level set method applied to hyper-surfaces evolving in 5D position-orientation space. In this paper we present a methodology for constructing the position-orientation space. We then show how to implement the standard level set method in such a non-Euclidean high dimensional space. The level set theory is basically defined for N-dimensions but there are several practical implementation details to consider, such as mean curvature. Finally, we will show results from a synthetic model and a few preliminary results on real data of a human brain acquired by high angular resolution diffusion MRI.