"Marxisme et philosophie du langage" (1929) de V. Volochinov et sa réception chez R. Chor : deux voies du développement de la science du langage «marxiste» dans les années 1920 en Russie

Malgré le succès de  « Marxisme et philosophie du langage » (par la suite MPL) de V. Volochinov, ce texte n'a suscité que trois comptes rendus. Le quatrième est ébauché par A. Romm. Resté à l'état de notes, ce compte rendu est bien étudié par les chercheurs contemporains. En revanche, le compte rendu écrit par R. Chor n'a jamais été analysé de façon détaillée. Notre article a pour but de combler cette lacune et porte sur le contenu de l'analyse critique de MPL faite par Chor. Son examen révèle que le compte rendu écrit par cette dernière et MPL de Volochinov représentent la formulation de principes de base diamétralement opposés de la science du langage «marxiste». Cela se manifeste dans la réception des idées de F. de Saussure. Si Chor considère la conception de ce dernier comme fondement de la linguistique «théorique» portant sur la langue en tant que système de signes (ou de «signifiances» dans les termes de Chor), Volochinov rejette la théorie de Saussure. Il la considère comme «abstraite», d'où le nom «objectivisme abstrait» qu'il donne au saussurisme. En élaborant la philosophie du langage «marxiste», il s'appuie sur la néo-philologie idéaliste (les idées de Vossler et de son Ecole) définie dans MPL comme «subjectivisme individualiste». Volochinov propose d'étudier la «langue» comme fait réel, accessible à l'observation immédiate et non pas comme objet d'étude «théorique». Ce fait constitue une cible de la critique adressée par Chor à Volochinov

Cancer immunotherapy drives implementation science in oncology.

Cancer immunotherapy has come a long way. The hope that immunological approaches may help cancer patients has sparked many initiatives in research and development (R&D). For many years, progress was modest and disappointments were frequent. Today, the increasing scientific and medical knowledge has established a solid basis for improvements. Considerable clinical success was first achieved for patients with hematological cancers. More recently, immunotherapy has entered center stage in the development of novel therapies against solid cancers. Together with R&D in angiogenesis, the field of immunology has fundamentally extended the scientific scope, which has evolved from a cancer-cell-centered view to a comprehensive and integrated vision of tumor biology. Current R&D is focused on a large array of possible disease mechanisms, driven by cancer cells, and amplified by tumor stroma, inflammatory and immunological actors, blood and lymph vessels, and the "macroenvironment," i.e. systemic mechanisms of the host, particularly of the haematopoietic system. Contrasting to this large spectrum of pathophysiological events promoting tumor growth, only a small number of biological mechanisms, namely of the immune system, have the potential to counteract tumor growth. They are of prime interest because therapeutic enhancement may result in clinical benefit for patients. This special issue is dedicated to immunotherapeutics against cancer, with particular emphasis on vaccination and combination therapies, providing updates and extended insight in this booming field.

Implementing an interfaculty series of courses on interprofessional collaboration in prelicensure health science curriculums.

Introduction: Interprofessional collaborative practices are increasingly recognized as an effective way to deal with complex health problems. However, health sciences students continue to be trained in specialized programs and have little occasion for learning in interdisciplinary contexts. Program Development: The project's purpose was to develop content and an educational design for new prelicensure interfaculty courses on interprofessional collaboration in patient and family-centered care which embedded interprofessional education principles where participants learn with, from and about each other. Implementation: Intensive training was part of a 45-hour program, offered each semester, which was divided into three 15-hour courses given on weekends, to enhance accessibility. Evaluation: A total of 215 students completed questionnaires following the courses, to assess their satisfaction with the educational content. Pre/post measures assessed perception of skills acquisition and perceived benefits of interprofessional collaboration training. Results showed a significant increase from the students' point of view in the knowledge and benefits to be gained from interprofessional collaboration training.

Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables

Questions Soil properties have been widely shown to influence plant growth and distribution. However, the degree to which edaphic variables can improve models based on topo-climatic variables is still unclear. In this study, we tested the roles of seven edaphic variables, namely (1) pH; (2) the content of nitrogen and of (3) phosphorus; (4) silt; (5) sand; (6) clay and (7) carbon-to-nitrogen ratio, as predictors of species distribution models in an edaphically heterogeneous landscape. We also tested how the respective influence of these variables in the models is linked to different ecological and functional species characteristics. Location The Western Alps, Switzerland. Methods With four different modelling techniques, we built models for 115 plant species using topo-climatic variables alone and then topo-climatic variables plus each of the seven edaphic variables, one at a time. We evaluated the contribution of each edaphic variable by assessing the change in predictive power of the model. In a second step, we evaluated the importance of the two edaphic variables that yielded the largest increase in predictive power in one final set of models for each species. Third, we explored the change in predictive power and the importance of variables across plant functional groups. Finally, we assessed the influence of the edaphic predictors on the prediction of community composition by stacking the models for all species and comparing the predicted communities with the observed community. Results Among the set of edaphic variables studied, pH and nitrogen content showed the highest contributions to improvement of the predictive power of the models, as well as the predictions of community composition. When considering all topo-climatic and edaphic variables together, pH was the second most important variable after degree-days. The changes in model results caused by edaphic predictors were dependent on species characteristics. The predictions for the species that have a low specific leaf area, and acidophilic preferences, tolerating low soil pH and high humus content, showed the largest improvement by the addition of pH and nitrogen in the model. Conclusions pH was an important predictor variable for explaining species distribution and community composition of the mountain plants considered in our study. pH allowed more precise predictions for acidophilic species. This variable should not be neglected in the construction of species distribution models in areas with contrasting edaphic conditions.

On the use of IRMS in forensic science: proposals for a methodological approach

The flourishing number of publications on the use of isotope ratio mass spectrometry (IRMS) in forensic science denotes the enthusiasm and the attraction generated by this technology. IRMS has demonstrated its potential to distinguish chemically identical compounds coming from different sources. Despite the numerous applications of IRMS to a wide range of forensic materials, its implementation in a forensic framework is less straightforward than it appears. In addition, each laboratory has developed its own strategy of analysis on calibration, sequence design, standards utilisation and data treatment without a clear consensus.Through the experience acquired from research undertaken in different forensic fields, we propose a methodological framework of the whole process using IRMS methods. We emphasize the importance of considering isotopic results as part of a whole approach, when applying this technology to a particular forensic issue. The process is divided into six different steps, which should be considered for a thoughtful and relevant application. The dissection of this process into fundamental steps, further detailed, enables a better understanding of the essential, though not exhaustive, factors that have to be considered in order to obtain results of quality and sufficiently robust to proceed to retrospective analyses or interlaboratory comparisons.

Ambient seismic noise monitoring of a clay landslide: Toward failure prediction

Given that clay-rich landslides may become mobilized, leading to rapid mass movements (earthflows and debris flows), they pose critical problems in risk management worldwide. The most widely proposed mechanism leading to such flow-like movements is the increase in water pore pressure in the sliding mass, generating partial or complete liquefaction. This solid-to-liquid transition results in a dramatic reduction of mechanical rigidity in the liquefied zones, which could be detected by monitoring shear wave velocity variations. With this purpose in mind, the ambient seismic noise correlation technique has been applied to measure the variation in the seismic surface wave velocity in the Pont Bourquin landslide (Swiss Alps). This small but active composite earthslide-earthflow was equipped with continuously recording seismic sensors during spring and summer 2010. An earthslide of a few thousand cubic meters was triggered in mid-August 2010, after a rainy period. This article shows that the seismic velocity of the sliding material, measured from daily noise correlograms, decreased continuously and rapidly for several days prior to the catastrophic event. From a spectral analysis of the velocity decrease, it was possible to determine the location of the change at the base of the sliding layer. These results demonstrate that ambient seismic noise can be used to detect rigidity variations before failure and could potentially be used to predict landslides.