Cluster Analysis using Microgreographic data

In this paper we try to identify manufacturing and service clusters in Spain, using data from Mercantile Registers of 2006. The proposed methodology partially follows contributions of Duranton and Overman (2005), Brenner (2003 and 2004) and Ellison and Glaser (1997), but departing from them we improve such approaches by several ways. In order to sum up, we can detail our approach and divide it into five stages. Firstly, we divide space into homogeneous cells. Secondly, we create industry specific maps departing from firms’ georeferenced data. Thirdly, we create multiple random industry specific maps under two conditions: i) total number of firms at each industry remains constant and ii) total number of firms at each cell remains constant. Fourthly, we compare the observed spatial distribution of firms with random simulations of such distribution and we check if there is some kind of concentration compared to the random distribution. Fifthly, for each industry we map the areas where the concentration of firms is significantly higher than expected. Previous scheme allows us to identify real clusters (of different shapes and sizes) for all range of manufacturing and service activities and to use this information to design public policies related to such industries. Keywords: cluster analysis, geographic data, microeconomics, regional economics.

Improving transportation networks: effects of population structure and decision making policies

Transportation networks are one of the fundamental tools for human society to work, more so in our globalized world. The importance of a correct, efficient design of a transportation network for a given region or country cannot be overstated. We here study how network design is affected by the geography of the towns or nuclei to be connected, and also by the decision process necessary to choose which connections should be improved (in a generic sense) first. We begin by establishing that Delaunay networks provide an efficient starting point for the network design and at the same time allow us to introduce a computationally amenable model. Subsequent improvements lead to decentralized designs in geographies where towns are more or less homogeneously distributed, whereas radial designs arise when there is a core-periphery distribution of nodes. We also show that optimization of Delaunay networks outperforms that of complete networks at a lower cost, by allowing for a proper selection of the links to improve. In closing, we draw conclusions relevant to policy making applied to designing transportation networks and point our how our study can be useful to identify mechanisms relevant to the historical development of a region.This work has been supported in part by Ministerio de Economía, Innovación y Competitividad (Spain) through grants FIS2015-64349-P VARIANCE (MINECO/FEDER, UE) and CSO2016-74888-C4-4-R CITITALENT (AEI/FEDER, UE) and by the European Commission through FET Open RIA 662725 IBSEN and FET Proactive RIA 640772 DOLFINS

ENTREPRENEURIAL WOMEN, DIFFERENTIAL BEHAVIOURS AND BUSINESS INNOVATION

The participation of women in entrepreneurial activity forty years ago was virtually an exception. However, nowadays this is an important economic and social phenomenon, with an outstanding impact on the dynamics of both advanced and emerging economies. This is significant not only from a quantitative viewpoint. The fact that female personal features, motives and managerial methods differ from those of men gives a new and interesting perspective –which is still subject to debate- to the analysis regarding training and consolidation of enterprises. Gender-related differences can be the vehicle to introduce innovative aspects that could be influential in the uncertain and changing economic environment after the current crises, particularly in those fields where business output is related to the quality of life. Adopting a previous regional model as a basis of study, we analyse in this work the characteristics that differentiate entrepreneurial women in Spain on the grounds of data collected from an own drafted survey regarding the entrepreneurial activity (607 complete questionnaires) carried out in 2009. The results obtained indicate the coexistence of two different types of entrepreneurial women. The first group gathers those women whose enterprises show, generally speaking, a similar sectoral distribution to that of the whole productive fabric, although with a slight tendency to be more present in services activities. Their characteristics and attitudes are, in general, quite similar to those registered among entrepreneurial men and many of these women come from entrepreneurial families. The second group is mainly made up of entrepreneurial women –frequently with family burdens and low qualified- devoted to services, particularly personal services and retail trade. Technological and managerial characteristics of companies managed by the entrepreneurial women belonging to this group differ substantially from the average of the economy, with a much more traditional and less innovative profile.

Agent-based dynamics in disaggregated growth models

This paper presents an agent-based model of disaggregated economic systems with endogenous growth features named Lagon GeneriC. This model is thought to represent a proof of concept that dynamically complete and highly disaggregated agent-based models allow to model economies as complex dynamical systems. It is used here for "theory generation", investigating the extension to a framework with capital accumulation of Gintis results on the dynamics of general equilibrium.Agent-based models, economic growth.

Carrot anthocyanins genetics and genomics: Status and perspectives to improve its application for the food colorant industry

Purple or black carrots (Daucus carota ssp. sativus var. atrorubens Alef) are characterized bytheir dark purple- to black-colored roots, owing their appearance to high anthocyanin concentrations. In recent years, there has been increasing interest in the use of black carrot anthocyanins as natural food dyes. Black carrot roots contain large quantities of mono-acylated anthocyanins, which impart a measure of heat-, light- and pH-stability, enhancing the color-stability of food products over their shelf-life. The genetic pathway controlling anthocyanin biosynthesis appears well conserved among land plants; however, different variants of anthocyanin-related genes between cultivars results in tissue-specific accumulations of purple pigments. Thus, broad genetic variations of anthocyanin profile, and tissue-specific distributions in carrot tissues and organs, can be observed, and the ratio of acylated to non-acylated anthocyanins varies significantly in the purple carrot germplasm. Additionally, anthocyanins synthesis can also be influenced by a wide range of external factors, such as abiotic stressors and/or chemical elicitors, directly affecting the anthocyanin yield and stability potential in food and beverage applications. In this study, we critically review and discuss the current knowledge on anthocyanin diversity, genetics and the molecular mechanisms controlling anthocyanin accumulation in carrots. We also provide a view of the current knowledge gaps and advancement needs as regards developing and applying innovative molecular tools to improve the yield, product performance and stability of carrot anthocyanin for use as a natural food colorant.Fil: Iorizzo, Massimo. North Carolina State University. Department Of Food, Bioprocessing And Nutrition Sciences. Plants For Human Health Institute.; Estados UnidosFil: Curaba, Julien. North Carolina State University. Department Of Food, Bioprocessing And Nutrition Sciences. Plants For Human Health Institute.; Estados UnidosFil: Pottorff, Marti. North Carolina State University. Department Of Food, Bioprocessing And Nutrition Sciences. Plants For Human Health Institute.; Estados UnidosFil: Ferruzzi, Mario G.. North Carolina State University. Department Of Food, Bioprocessing And Nutrition Sciences. Plants For Human Health Institute.; Estados UnidosFil: Simon, Pihilipp W.. United States Department of Agriculture. Agricultural Research Service; Argentina. University of Wisconsin; Estados UnidosFil: Cavagnaro, Pablo Federico. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Departamento de Producción Agropecuaria. Cátedra de Horticultura y Floricultura; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Mendoza-San Juan. Estación Experimental Agropecuaria La Consulta; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentin

Agent-based dynamics in disaggregated growth models

URL des Documents de travail : http://centredeconomiesorbonne.univ-paris1.fr/bandeau-haut/documents-de-travail/Documents de travail du Centre d'Economie de la Sorbonne 2010.77 - ISSN : 1955-611XThis paper presents an agent-based model of disaggregated economic systems with endogenous growth features named Lagon GeneriC. This model is thought to represent a proof of concept that dynamically complete and highly disaggregated agent-based models allow to model economies as complex dynamical systems. It is used here for "theory generation", investigating the extension to a framework with capital accumulation of Gintis results on the dynamics of general equilibrium.On présente le modèle Lagon generiC : modèle multi-agent pourvu de caractéristiques de croissance endogène. Il s'agit d'un prototype hautement désagrégé et dynamiquement complet qui permet la représentation d'économies comme des systèmes dynamiques complexes. Une application aux résultats de Gintis sur la dynamique des prix est également présentée

Draft Genome Sequence of the Polyextremophilic Halorubrum sp. Strain AJ67, Isolated from Hyperarsenic Lakes in the Argentinian Puna

Halorubrum sp. AJ67, an extreme halophilic, UV resistant archae that was isolated from Laguna Antofalla in the Argentinean Puna. The draft genome sequence suggests potent enzyme candidates that are essential to survive in multiple environmental extreme conditions, as high UV radiation, elevated salinity and the presence of critical arsenic concentration.Fil: Burguener, Germán Federico. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo. Plataforma de Bioinformática Argentina; ArgentinaFil: Maldonado, Marcos Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán. Planta Piloto de Procesos Industriales Microbiológicos (i); Argentina. Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias; ArgentinaFil: Revale, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Biología Molecular y Celular de Rosario; Argentina. Instituto de Agrobiotecnología de Rosario; ArgentinaFil: Fernández Do Porto, Darío Augusto. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo. Plataforma de Bioinformática Argentina; ArgentinaFil: Rascovan, Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular; Argentina. Instituto de Agrobiotecnología de Rosario; ArgentinaFil: Vazquez, Martin Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular; Argentina. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo. Plataforma de Bioinformática Argentina; ArgentinaFil: Farias, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán. Planta Piloto de Procesos Industriales Microbiológicos (i); ArgentinaFil: Marti, Marcelo Adrian. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo. Plataforma de Bioinformática Argentina; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; ArgentinaFil: Turjanski, Adrian. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo. Plataforma de Bioinformática Argentina; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentin

Two-year outcomes in de novo renal transplant recipients receiving everolimus-facilitated calcineurin inhibitor reduction regimen from TRANSFORM study

TRANSFORM was a 24-month, prospective, open-label trial in 2037 de novo renal transplant recipients (RTxRs) randomized (1:1) within 24 hours of transplantation to receive everolimus (EVR) with reduced-exposure calcineurin inhibitor (EVR+rCNI) or mycophenolate with standard-exposure CNI (MPA+sCNI). Consistent with previously reported 12-month findings, noninferiority of the EVR+rCNI regimen for the primary endpoint of treated biopsy-proven acute rejection (tBPAR) or estimated glomerular filtration rate (eGFR) <50 mL/min/1.73 m2 was achieved at Month 24 (47.9% vs 43.7%; difference = 4.2%; 95% confidence interval [CI] = -0.3, 8.7; P = 0.006). Mean eGFR was stable up to Month 24 (52.6 vs 54.9 mL/min/1.73m2 ) in both arms. The incidence of de novo donor-specific antibodies (dnDSA) was lower in the EVR+rCNI arm (12.3% vs 17.6%) among on-treatment patients. Although discontinuation rates due to adverse events were higher with EVR+rCNI (27.2% vs 15.0%), rates of cytomegalovirus (2.8% vs 13.5%) and BK virus (5.8% vs 10.3%) infections were lower. Cytomegalovirus infection rates were significantly lower with EVR+rCNI even in the D+/R- high-risk group (P<0.0001). In conclusion, the EVR+rCNI regimen offers comparable efficacy and graft function with low tBPAR and dnDSA rates and significantly lower incidence of viral infections relative to standard-of-care up to 24 months. This article is protected by copyright. All rights reserved

Particulate matter exposure during pregnancy is associated with birth weight, but not gestational age, 1962-1992: a cohort study

<p>Abstract</p> <p>Background</p> <p>Exposure to air pollutants is suggested to adversely affect fetal growth, but the evidence remains inconsistent in relation to specific outcomes and exposure windows.</p> <p>Methods</p> <p>Using birth records from the two major maternity hospitals in Newcastle upon Tyne in northern England between 1961 and 1992, we constructed a database of all births to mothers resident within the city. Weekly black smoke exposure levels from routine data recorded at 20 air pollution monitoring stations were obtained and individual exposures were estimated via a two-stage modeling strategy, incorporating temporally and spatially varying covariates. Regression analyses, including 88,679 births, assessed potential associations between exposure to black smoke and birth weight, gestational age and birth weight standardized for gestational age and sex.</p> <p>Results</p> <p>Significant associations were seen between black smoke and both standardized and unstandardized birth weight, but not for gestational age when adjusted for potential confounders. Not all associations were linear. For an increase in whole pregnancy black smoke exposure, from the 1^st(7.4 μg/m³) to the 25^th(17.2 μg/m³), 50^th(33.8 μg/m³), 75^th(108.3 μg/m³), and 90^th(180.8 μg/m³) percentiles, the adjusted estimated decreases in birth weight were 33 g (SE 1.05), 62 g (1.63), 98 g (2.26) and 109 g (2.44) respectively. A significant interaction was observed between socio-economic deprivation and black smoke on both standardized and unstandardized birth weight with increasing effects of black smoke in reducing birth weight seen with increasing socio-economic disadvantage.</p> <p>Conclusions</p> <p>The findings of this study progress the hypothesis that the association between black smoke and birth weight may be mediated through intrauterine growth restriction. The associations between black smoke and birth weight were of the same order of magnitude as those reported for passive smoking. These findings add to the growing evidence of the harmful effects of air pollution on birth outcomes.</p

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data