257 research outputs found

    Démographie d'entreprises : des créations plus fréquentes en zone urbaine, plus durables en zone rurale

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    Si le nombre total d'entreprises françaises évolue peu, le tissu productif est marqué par un renouvellement continu : plus d'une entreprise sur dix disparaît tous les ans et une sur dix apparaît, sans qu'il y ait systématiquement correspondance de lieu et d'activité entre ces événements. Alors que les espaces urbains sont caractérisés par un renouvellement intense de leur tissu productif, le faible taux de renouvellement observé dans les espaces ruraux s'accompagne d'un taux de survie plus favorable des établissements nouvellement créés. Les espaces périurbains sont dans une situation intermédiaire du point de vue de l'intensité des mouvements enregistrés, mais bénéficient d'un effet spécifique positif en termes de soldes démographiques.

    Une Methode de partition de domaine pour l'equation d'advection-diffusion

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    Ce rapport correspond au memoire DEA du premier auteur. L'objectif de l'etude a ete de formaliser la methode de partition pour un probleme modele lineaire d'advection-diffusion, de mettre en evidence les proprietes des algorithmes elementaires et de preparer ainsi les tests futurs de nouveaux algorithmes dans un contexte simplifie. Au plan technique, les methodes de decomposition de domaine en general (par partition ou recouvrement) pour la resolution d'equations aux derivees partielles sont l'objet d'un regain d'interet car elles se pretent naturellement a une programmation parallele. Le domaine de calcul est decompose en sous-domaines sur lesquels on resout simultanement des sous-problemes de taille reduite que l'on couple par iteration afin de satisfaire des conditions de raccord aux interfaces. Dans ce rapport, on presente la mise en oeuvre theorique d'un algoritme de partition pour l'equation d'advection-diffusion en une et deux dimensions d'espace ainsi que des resultats numeriques

    Normalization for triple-target microarray experiments

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    <p>Abstract</p> <p>Background</p> <p>Most microarray studies are made using labelling with one or two dyes which allows the hybridization of one or two samples on the same slide. In such experiments, the most frequently used dyes are <it>Cy</it>3 and <it>Cy</it>5. Recent improvements in the technology (dye-labelling, scanner and, image analysis) allow hybridization up to four samples simultaneously. The two additional dyes are <it>Alexa</it>488 and <it>Alexa</it>494. The triple-target or four-target technology is very promising, since it allows more flexibility in the design of experiments, an increase in the statistical power when comparing gene expressions induced by different conditions and a scaled down number of slides. However, there have been few methods proposed for statistical analysis of such data. Moreover the lowess correction of the global dye effect is available for only two-color experiments, and even if its application can be derived, it does not allow simultaneous correction of the raw data.</p> <p>Results</p> <p>We propose a two-step normalization procedure for triple-target experiments. First the dye bleeding is evaluated and corrected if necessary. Then the signal in each channel is normalized using a generalized lowess procedure to correct a global dye bias. The normalization procedure is validated using triple-self experiments and by comparing the results of triple-target and two-color experiments. Although the focus is on triple-target microarrays, the proposed method can be used to normalize <it>p </it>differently labelled targets co-hybridized on a same array, for any value of <it>p </it>greater than 2.</p> <p>Conclusion</p> <p>The proposed normalization procedure is effective: the technical biases are reduced, the number of false positives is under control in the analysis of differentially expressed genes, and the triple-target experiments are more powerful than the corresponding two-color experiments. There is room for improving the microarray experiments by simultaneously hybridizing more than two samples.</p

    Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies

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    © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.Peer reviewedFinal Published versio

    Food consumption behaviours in Europe:Mapping drivers, trends and pathways towards sustainability

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    Why do European consumers buy food the way they do? Which key factors drive Europeans’ food consumption patterns and how could they be used to create pathways toward sustainability? The VALUMICS project’s evidence-based report provides insights to what influences consumers the most in their food choices. The report ‘Food consumption behaviours in Europe’ brings together data across various countries, such as the United Kingdom, Germany, France and Italy. Through in-depth literature research, focus groups and expert consultations, the report provides a better understanding of the status quo, trends, motivations as well as barriers and opportunities towards more sustainable food consumption behaviours in general. The focus is on five product categories: Beef, dairy, salmon, tomatoes and bread. Findings indicate that food consumption behaviours can be largely attributed to price considerations, family eating habits, health concerns or social contexts of consumers. The report highlights that environmental awareness and values play little to no role in the consumption patterns. “Certain changes can only be made by politics, or the EU in this case, which should impose high sustainability limits and standards: for example, banning disposable plastics is a good start. Until certain management practices are allowed, it is difficult to behave more sustainably because everyone else can be more economically competitive” noted one of the experts interviewed for the report. Other actions suggested in the report include fostering stronger communication channels between producers and consumers, with the potential for increasing the resilience of food value chains as well as using behavioural insights to inform strategies and action plans for more sustainable food consumption. The report ’Food consumption behaviours in Europe’ is the first in a series of VALUMICS publications focusing on analysing food consumption. The upcoming reports look into successful interventions for sustainable food behaviour, multi-stakeholder recommendations toward more sustainable food consumption, and food retailer interventions to support this shift.Nicolau, M., Esquivel, L., Schmidt, I., Fedato, C., Leimann, L., Samoggia, A., Monticone, F., Prete, D.M., Ghelfi, R., Saviolidis, M.N., Olafsdottir, G., Sigurdardottir, H., Aubert, P.M., Huber, E., Aditjandra, A., Hubbard, C., De, A., Gorton, M., Čechura, L., Bogason, G.S., Brimont, L., Odene, J. & Schamari, D. Report on (2021) Food consumption behaviours in Europe. Mapping drivers, trends and pathways towards sustainability. VALUMICS "Understanding Food Value Chains and Network Dynamics", funded by European Union's Horizon 2020 research and innovation programme GA No 727243. Deliverable: D6.1, CSCP, Germany, 87 pages

    Characterization of Macrophages and Osteoclasts in the Osteosarcoma Tumor Microenvironment at Diagnosis: New Perspective for Osteosarcoma Treatment?

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    Biological and histopathological techniques identified osteoclasts and macrophages as targets of zoledronic acid (ZA), a therapeutic agent that was detrimental for patients in the French OS2006 trial. Conventional and multiplex immunohistochemistry of microenvironmental and OS cells were performed on biopsies of 124 OS2006 patients and 17 surgical (“OSNew”) biopsies respectively. CSF-1R (common osteoclast/macrophage progenitor) and TRAP (osteoclast activity) levels in serum of 108 patients were correlated to response to chemotherapy and to prognosis. TRAP levels at surgery and at the end of the protocol were significantly lower in ZA+ than ZA− patients (padj = 0.0011; 0.0132). For ZA+-patients, an increase in the CSF-1R level between diagnosis and surgery and a high TRAP level in the serum at biopsy were associated with a better response to chemotherapy (p = 0.0091; p = 0.0251). At diagnosis, high CD163+ was associated with good prognosis, while low TRAP activity was associated with better overall survival in ZA− patients only. Multiplex immunohistochemistry demonstrated remarkable bipotent CD68+/CD163+ macrophages, homogeneously distributed throughout OS regions, aside osteoclasts (CD68+/CD163−) mostly residing in osteolytic territories and osteoid-matrix-associated CD68−/CD163+ macrophages. We demonstrate that ZA not only acts on harmful osteoclasts but also on protective macrophages, and hypothesize that the bipotent CD68+/CD163+ macrophages might present novel therapeutic targets
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