Deux approches de l'influence du discours économique sur les phénomènes sociaux

The influence of theoretical discourse on the corresponding field of investigation is an important feature of social science : social scientists shape the world by describing it. This phenomenon has been studied in several ways. Economic sociology has recently focused on the fact that the economy is embedded in the economics through which it is scrutinized. Great names of economic theory have focused on the effects of economists' discourse on agents' behaviours. This article aims to bring out the distinction between these two kinds of contributions which deal with the same object. Finally, it explains the analytical distinction by a difference in the initial problematic. Following trends in the French school of the economics of convention, the social influence of theoretical discourse is analyzed on the strategic side (in connection with economics) and on the interpretative side (in connection with sociology).

Conference scene: Immune signatures in the tumor and beyond.

Led by key opinion leaders in the field, the Cancer Immunotherapy Consortium of the Cancer Research Institute 2012 Scientific Colloquium included 179 participants who exchanged cutting-edge information on basic, clinical and translational cancer immunology and immunotherapy. The meeting revealed how rapidly this field is advancing. The keynote talk was given by Wolf H Fridman and it described the microenvironment of primary and metastatic human tumors. Participants interacted through oral presentations and panel discussions on topics that included host reactions in tumors, advances in imaging, monitoring therapeutic immune modulation, the benefit and risk of immunotherapy, and immune monitoring activities. In summary, the annual meeting gathered clinicians and scientists from academia, industry and regulatory agencies from around the globe to interact and exchange important scientific advances related to tumor immunobiology and cancer immunotherapy.

Influencia de la altura, la distancia de los tubos a la calle, la anchura de la calle, el tráfico y la densidad de vehículos sobre la concentración de NO2

Durante las primeras décadas del s. XX se contempló un importante aumento de las enfermedades coronarias, este hecho estimuló la investigación sobre las causas de dichas enfermedades. En 1978, y para investigar este fenómeno se inició el estudio REGICOR en el Hospital Josep Trueta de Girona. En el s. XX también se contempló un creciente problema de contaminación de las atmósferas urbanas, esto hizo que diferentes científicos estudiaran las relaciones entre las enfermedades coronarias y la contaminación atmosférica en áreas urbanas (Godish, 1997; Krupa & Legge, 2000; Brook et al., 2004 y Krewski et al., 2004). El proyecto realizado está situado en el contexto del primer estudio realizado en España que investiga los efectos sobre la salud de la contaminación atmosférica (REGICOR 2000-AIR). En el proyecto se pretende investigar la influencia de diferentes factores (distancia de los tubos a la calle, altura de los tubos, anchura de la calle, tráfico y densidad de tráfico) sobre la contaminación atmosférica de las ciudades de Girona y Salt, con el fin de poder caracterizar lo mejor posible la exposición a contaminación atmosférica. Para este fin se utilizará el NO2 como marcador de contaminación atmosférica y se seleccionaran varios puntos de muestreo en las dos ciudades dónde se pondrán captadores de NO2 para la medición de dicha contaminación. Después, y mediante un análisis estadístico, se podrá determinar la influencia de los factores en la variación de concentración de NO2 en el área seleccionada.

Pollution and pollutant transport in the geosphere - An introduction to the symposium

Environmental research in earth sciences is focused on the geosphere, i.e. (1) waters and sediments of rivers, lakes and oceans, and (2) soils and underlying shallow rock formations,both water-unsaturated and -saturated. The subsurface is studied down to greater depths at sites where waste repositories or tunnels are planned and mining activities exist. In recent years, earth scientists have become more and more involved in pollution problems related to their classical field of interest, e.g. groundwater, ore deposits, or petroleum and non-metal natural deposits (gravel, clay, cement precursors). Major pollutants include chemical substances, radioactive isotopes and microorganisms. Mechanisms which govern the transport of pollutants are of physical, chemical (dissolution, precipitation, adsorption), or microbiological (transformation) nature. Land-use planning must reflect a sustainable development and sound scientific criteria. Today's environmental pollution requires working teams with an interdisciplinary background in earth sciences, hydrology, chemistry, biology, physics as well as engineering. This symposium brought together for the first time in Switzerland earth and soil scientists, physicists and chemists, to present and discuss environmental issues concerning the geosphere.

Spatial modelling of biodiversity at the community level

1. Statistical modelling is often used to relate sparse biological survey data to remotely derived environmental predictors, thereby providing a basis for predictively mapping biodiversity across an entire region of interest. The most popular strategy for such modelling has been to model distributions of individual species one at a time. Spatial modelling of biodiversity at the community level may, however, confer significant benefits for applications involving very large numbers of species, particularly if many of these species are recorded infrequently. 2. Community-level modelling combines data from multiple species and produces information on spatial pattern in the distribution of biodiversity at a collective community level instead of, or in addition to, the level of individual species. Spatial outputs from community-level modelling include predictive mapping of community types (groups of locations with similar species composition), species groups (groups of species with similar distributions), axes or gradients of compositional variation, levels of compositional dissimilarity between pairs of locations, and various macro-ecological properties (e.g. species richness). 3. Three broad modelling strategies can be used to generate these outputs: (i) 'assemble first, predict later', in which biological survey data are first classified, ordinated or aggregated to produce community-level entities or attributes that are then modelled in relation to environmental predictors; (ii) 'predict first, assemble later', in which individual species are modelled one at a time as a function of environmental variables, to produce a stack of species distribution maps that is then subjected to classification, ordination or aggregation; and (iii) 'assemble and predict together', in which all species are modelled simultaneously, within a single integrated modelling process. These strategies each have particular strengths and weaknesses, depending on the intended purpose of modelling and the type, quality and quantity of data involved. 4. Synthesis and applications. The potential benefits of modelling large multispecies data sets using community-level, as opposed to species-level, approaches include faster processing, increased power to detect shared patterns of environmental response across rarely recorded species, and enhanced capacity to synthesize complex data into a form more readily interpretable by scientists and decision-makers. Community-level modelling therefore deserves to be considered more often, and more widely, as a potential alternative or supplement to modelling individual species.

A balance of questions: what can we ask of climate change economics?

The standard approach to the economics of climate change, which has its best known implementation in Nordhaus's DICE and RICE models (well described in Nordhaus's 2008 book, A Question of Balance) is not well equipped to deal with the possibility of catastrophe, since we are unable to evaluate a risk averse representative agent's expected utility when there is any signi cant probability of zero consumption. Whilst other authors attempt to develop new tools with which to address these problems, the simple solution proposed in this paper is to ask a question that the currently available tools of climate change economics are capable of answering. Rather than having agents optimally choosing a path (that differs from the recommendations of climate scientists) within models which cannot capture the essential features of the problem, I argue that economic models should be used to determine the savings and investment paths which implement climate targets that have been suggested in the physical science literature.

New insights into the phylogenetics and biogeography of Arum (Araceae): unravelling its evolutionary history

The heat- and odour-producing genus Arum (Araceae) has interested scientists for centuries. This long-term interest has allowed a deep knowledge of some complex processes, such as the physiology and dynamics of its characteristic lure-and-trap pollination system, to be built up. However, mainly because of its large distributional range and high degree of morphological variation, species' limits and relationships are still under discussion. Today, the genus comprises 28 species subdivided into two subgenera, two sections and six subsections. In this study, the phylogeny of the genus is inferred on the basis of four plastid regions, and the evolution of several morphological characters is investigated. Our phylogenetic hypothesis is not in agreement with the current infrageneric classification of the genus and challenges the monophyly of several species. This demonstrates the need for a new infrageneric classification based on characters reflecting the evolution of this enigmatic genus. To investigate the biogeography of Arum deeply, further spatiotemporal analyses were performed, addressing the importance of the Mediterranean basin in the diversification of Arum. Our results suggest that its centre of origin was the European-Aegean region, and that major diversification happened during the last 10 Myr.

Traditional Chinese materia medica: a retrospect and prospect

For thousands of years, traditional medicine and remedies have been practed and used in the fight against disease in China. They have proved to be valuable and the distillate of vast historical experience based on field-tested human experiments, long-term observations and clinical trials. The Chinese people belive that traditional medicine is consistent with theirown culture. Endowed with a unique theoretical system and provided outstanding clinical results, traditional Chinese medicine continues to play an important role in helping the Chinese nation flourish. The recent study of traditional medicinal plants in Chine has given us confidence that what was recorded in ancient medical literature through empirical observations is indeed still coindicent with the concepts of modern chemistry, pharmacology and medicine. The task of revealing what is valid and efficacious should be retained, and what is mythic and invalid should be discarded in traditional Chinese medicine may require scientific research lasting for several generations. Therfore, multidisciplinary cooperation and international collaboration in this field would be essential. Systematic coordination of work in traditional medicine by word organizations, national governments, private foundations and individual scientists is a requisite as well.

Cell-based computational modeling of vascular morphogenesis using Tissue Simulation Toolkit.

Computational modeling has become a widely used tool for unraveling the mechanisms of higher level cooperative cell behavior during vascular morphogenesis. However, experimenting with published simulation models or adding new assumptions to those models can be daunting for novice and even for experienced computational scientists. Here, we present a step-by-step, practical tutorial for building cell-based simulations of vascular morphogenesis using the Tissue Simulation Toolkit (TST). The TST is a freely available, open-source C++ library for developing simulations with the two-dimensional cellular Potts model, a stochastic, agent-based framework to simulate collective cell behavior. We will show the basic use of the TST to simulate and experiment with published simulations of vascular network formation. Then, we will present step-by-step instructions and explanations for building a recent simulation model of tumor angiogenesis. Demonstrated mechanisms include cell-cell adhesion, chemotaxis, cell elongation, haptotaxis, and haptokinesis.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

Jugant amb l'atzar i la probabilitat

Treball de recerca realitzat per un alumne d'ensenyament secundari i guardonat amb un Premi CIRIT per fomentar l'esperit cientí­fic del Jovent l'any 2009. Quins científics van interessar-se per la probabilitat en els seus inicis?, quins altres van fer-la evolucionar? i quins conceptes coneixem i apliquem a l'actualitat? són preguntes que el treball teòric es proposa respondre. Pel que fa a la part pràctica del treball, el seu objectiu és el de crear un mecanisme capaç de generar nombres aleatoris a partir d'un taulell condicionat per paràmetres. El treball s'estructura en 4 blocs que aborden diversos camps de la probabilitat: la història de la probabilitat, els conceptes bàsics de la probabilitat, una introducció pràctica al mecanisme aleatori i el treball de camp. Els resultats finals rebel·len la possibilitat de generar nombres aleatoris a partir d'aparells senzills.

El canvi climàtic a les Terres de l'Ebre

Treball de recerca realitzat per un alumne d'ensenyament secundari i guardonat amb un Premi CIRIT per fomentar l'esperit científic del Jovent l'any 2009. En aquest treball s’estudia sobretot l’augment de les temperatures a les Terres de l’Ebre. Amb les temperatures facilitades per l’Observatori de l’Ebre s’han pogut realitzar prediccions de temperatures mitjanes, màximes i mínimes, per a saber les temperatures d’aquí uns 100 anys. Un cop fetes les prediccions, s’han consultat les condicions climàtiques de les plantes més característiques de la zona amb els científics de l’Institut de recerca i tecnologia agroalimentària i així poder fer una predicció i veure fins quan podríem gaudir de les nostres plantes, o fins quan la seva producció seria fins com la d’avui en dia. A més a més, un altre tema que afecta sobretot aquestes terres és la pujada del nivell del mar, ja que tenim una costa molt vulnerable a aquesta situació. Per aquest fet hi trobareu mapes de la zona amb inundacions per cada metre que pugés el nivell del mar.

Schistosomiasis research funding: the TDR contribution

In spite of the recent decline in financial support on the part of some major donors, the overall international support for schistosomiasis research in current US dollars has been holding steady. However, when adjusted for inflation, a clear decline during the last decade appears and only in a few countries has this decline been balanced by increased national or bilateral funding. The prevailing level of support for schistosomiasis research is barely sufficient to maintain estabilished laboratories and researchers, and highlights the need to attract young investigators. The important goal of brunging a new generation of scientists into the field of schistosomiaisis can only be achieved by a considerable long-term increase in funding, both at the national and the international levels. A break-through in current research emphasizing improved techniques for control is needed to encourage donors and governments to improve the situation.

Analysing the innovation process in the EU Integrated Programme, ISAFRUIT

ISAFRUIT is an integrated European Union Project focussed on increasing fruit consumption as a means to improve human health, through evaluating the fruit chain and addressing bottlenecks therein.The innovations which are being developed throughout the ISAFRUIT Project have been analysed to determine both the success factors and the obstacles in reaching the commercialisation stage. Only 9.58% of the deliverables planned within the Project were focussed on developing technological innovations.There is evidence, however, of successes in the development of new innovations arising from the ISAFRUIT Project, with several other potential innovations in the pipeline. Of the technologies identified, 67% are still at the “invention stage”; that is, the stage prior to bridging the so-called “valley of death”, the stage between an invention and an innovation. Those which are considered to have moved over the “valley of death” either had industry partners included in the Project, or had consulted with industry to ensure that the technology was relevant, or met a recognised industry need. Many of the technologies which made less progress did not have the same interactions with industry. A number of other issues were identified which prevented further progress towards innovation. The need for scientists to publish scientific papers, both for their career pathways and to increase their chances of future funding, was identified as one issue, although the filing of patents is now becoming more accepted and recognised. The patenting system is considered complex by many scientists and is not well-understood. Finally, agreements between partners on the sharing of intellectual property rights can cause a delay in the innovation process.

On making causal claims: A review and recommendations

Social scientists often estimate models from correlational data, where the independent variable has not been exogenously manipulated; they also make implicit or explicit causal claims based on these models. When can these claims be made? We answer this question by first discussing design and estimation conditions under which model estimates can be interpreted, using the randomized experiment as the gold standard. We show how endogeneity--which includes omitted variables, omitted selection, simultaneity, common methods bias, and measurement error--renders estimates causally uninterpretable. Second, we present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation is confounded, including fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models. Third, we take stock of the methodological rigor with which causal claims are being made in a social sciences discipline by reviewing a representative sample of 110 articles on leadership published in the previous 10 years in top-tier journals. Our key finding is that researchers fail to address at least 66 % and up to 90 % of design and estimation conditions that make causal claims invalid. We conclude by offering 10 suggestions on how to improve non-experimental research.