449 research outputs found

    Towards the operational estimation of a radiological plume using data assimilation after a radiological accidental atmospheric release

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    International audienceIn the event of an accidental atmospheric release of radionuclides from a nuclear power plant, accurate real-time forecasting of the activity concentrations of radionuclides is required by the decision makers for the preparation of adequate countermeasures. The accuracy of the forecast plume is highly dependent on the source term estimation. On several academic test cases, including real data, inverse modelling and data assimilation techniques were proven to help in the assessment of the source term. In this paper, a semi-automatic method is proposed for the sequential reconstruction of the plume, by implementing a sequential data assimilation algorithm based on inverse modelling, with a care to develop realistic methods for operational risk agencies. The performance of the assimilation scheme has been assessed through the intercomparison between French and Finnish frameworks. Two dispersion models have been used: Polair3D and Silam developed in two different research centres. Different release locations, as well as different meteorological situations are tested. The existing and newly planned surveillance networks are used and realistically large multiplicative observational errors are assumed. The inverse modelling scheme accounts for strong error bias encountered with such errors. The efficiency of the data assimilation system is tested via statistical indicators. For France and Finland, the average performance of the data assimilation system is strong. However there are outlying situations where the inversion fails because of a too poor observability. In addition, in the case where the power plant responsible for the accidental release is not known, robust statistical tools are developed and tested to discriminate candidate release sites

    Towards the operational application of inverse modelling for the source identification and plume forecast of an accidental release of radionuclides

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    International audienceIn the event of an accidental atmospheric release of radionuclides from a nuclear power plant, accurate real-time forecasting of the activity concentrations of radionuclides is required by the decision makers for the preparation of adequate countermeasures. Yet, the accuracy of the forecast plume is highly dependent on the source term estimation. Inverse modelling and data assimilation techniques should help in that respect. In this presentation, a semi-automatic method is proposed for the sequential reconstruction of the plume, by implementing a sequential data assimilation algorithm based on inverse modelling, with a care to develop realistic methods for operational risk agencies. The performance of the assimilation scheme has been assessed through the intercomparison between French and Finnish frameworks. Three dispersion models have been used: Polair3D, with or without plume-in-grid, both developed at CEREA, and SILAM, developed at FMI. Different release locations, as well as different meteorological situations are tested. The existing and newly planned surveillance networks are used and realistically large observational errors are assumed. Statistical indicators to evaluate the efficiency of the method are presented and the results are discussed. In addition, in the case where the power plant responsible for the accidental release is not known, robust statistical tools aredeveloped and tested to discriminate candidate release sites

    The opposite of Dante's hell? The transfer of ideas for social housing at international congresses in the 1850s–1860s

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    With the advent of industrialization, the question of developing adequate housing for the emergent working classes became more pressing than before. Moreover, the problem of unhygienic houses in industrial cities did not stop at the borders of a particular nation-state; sometimes literally as pandemic diseases spread out 'transnationally'. It is not a coincidence that in the nineteenth century the number of international congresses on hygiene and social topics expanded substantially. However, the historiography about social policy in general and social housing in particular, has often focused on individual cases because of the different pace of industrial and urban development and is thus dominated by national perspectives. In this paper, I elaborate on transnational exchange processes and local adaptations and transformations. I focus on the transfer of the housing model of SOMCO in Mulhouse, (a French house building association) during social international congresses. I examine whether cross-national networking enabled and facilitated the implementation of ideas on the local scale. I will elaborate on the transmission and the local adaptation of the Mulhouse-model in Belgium. Convergences, divergences, and different factors that influenced the local transformations (personal choice, political situation, socioeconomic circumstances) will be taken into accoun

    An homoplasmic large deletion in mtDNA control region: case report

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    We report a new case of a large, homoplasmic Control Region deletion in human mitochondrial DNA. A missing 154 bp fragment spanning positions 16154?16307 was found in an apparently healthy blood donor from Salta (NW Argentina) whose maternal lineage was attributable to Native American haplogroup D1. The same mutation, to the best of our knowledge, has been independently reported before only twice, in both homoplasmic and heteroplasmic states.Fil: Motti, Josefina MarĂ­a Brenda. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; ArgentinaFil: Alfaro, E. L.. Universidad Nacional de Jujuy. Instituto de BiologĂ­a de la Altura; ArgentinaFil: Dipierri, Jose Edgardo. Universidad Nacional de Jujuy. Instituto de BiologĂ­a de la Altura; ArgentinaFil: Muzzio, Marina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; ArgentinaFil: Ramallo, Virginia. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; ArgentinaFil: Santos, MarĂ­a Rita. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; ArgentinaFil: Irwin, J. A.. Armed Forces Dna Identification Laboratory; Estados UnidosFil: Scheible, M.. Armed Forces Dna Identification Laboratory; Estados UnidosFil: Saunier, J. L.. Armed Forces Dna Identification Laboratory; Estados UnidosFil: Coble, M. B.. Armed Forces Dna Identification Laboratory; Estados UnidosFil: Bailliet, Graciela. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; ArgentinaFil: Bravi, Claudio Marcelo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - La Plata. Instituto Multidisciplinario de BiologĂ­a Celular. Provincia de Buenos Aires. GobernaciĂłn. ComisiĂłn de Investigaciones CientĂ­ficas. Instituto Multidisciplinario de BiologĂ­a Celular. Universidad Nacional de La Plata. Instituto Multidisciplinario de BiologĂ­a Celular; Argentin

    Effect of several saponin containing plant extracts on rumen fermentation in vitro, Tetrahymena pyriformis and sheep erythrocytes

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    Among the nutritional solutions developed since in-feed antibiotics were banned by the European Union in 2006, extracts from plants with high saponin content have shown the capacity to modulate rumen fermentation. Most previous studies have focused on the effects of Yucca schidigera and Quillaja saponaria. This study was designed to evaluate i) the effects of extracts obtained from 11 saponin-containing plants and monensin on rumen fermentation patterns in vitro at 417 and 2.0 mg/L, respectively, and ii) the capacity of hemolytic test and inhibition of Tetrahymena pyriformis to model the effect of saponin-containing plant extracts on rumen protozoa. Plants belonging to 8 different families were investigated to evaluate a high diversity of saponin compounds. Total gas and methane productions were numerically lower with extract of Saponaria officinalis compared to control (-3.0 and -9.0%, respectively). The effect was more pronounced with monensin (-25.5 and -31.7%, p<0.05, respectively). Ammonia (NH3) and protozoa patterns varied among the extracts during in vitro incubations, e.g. from -22.6% (p<0.05) for Y. schidigera extract to -50.7% (p<0.05) for Primula veris extract, with respect to the protozoa number. Extracts from Primula veris, Chenopodium quinoa and Gypsophila paniculata mitigated significantly NH3 production by more than 26% (p<0.05) which, in our experimental conditions, was better than the results obtained with monensin and extracts from Y. schidigera and Q. saponaria. Statistically significant positive correlations were found between hemolytic capacity and inhibition of T. pyriformis (Pearson coefficient = 0.55, p<0.05) and between protozoa number and NH3 concentration during in vitro rumen incubation (Pearson coefficient = 0.56, p<0.05). Neither hemolytic capacity, nor inhibition of T. pyriformis, nor the content in total saponins estimated by gravimetric method was correlated to the inhibition of rumen protozoa. These parameters did not model the effect of extracts from different saponin containing plants on rumen protozoa number. However, the results suggest that by-products containing saponins from food (C. quinoa) and horticultural (G. paniculata) industries could be investigated as feed additives to improve nitrogen utilization by ruminants

    From Physical to Virtual: Widening the Perspective on Multi-Agent Environments

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-23850-0_9Since more than a decade, the environment is seen as a key element when analyzing, developing or deploying Multi-Agent Systems (MAS) applications. Especially, for the development of multi-agent platforms it has become a key concept, similarly to many application in the area of location-based, distributed systems. An emerging, prominent application area for MAS is related to Virtual Environments. The underlying technology has evolved in a way, that these applications have grown out of science fiction novels till research papers and even real applications. Even more, current technologies enable MAS to be key components of such virtual environments. In this paper, we widen the concept of the environment of a MAS to encompass new and mixed physical, virtual, simulated, etc. forms of environments. We analyze currently most interesting application domains based on three dimensions: the way different "realities" are mixed via the environment, the underlying natures of agents, the possible forms and sophistication of interactions. In addition to this characterization, we discuss how this widened concept of possible environments influences the support it can give for developing applications in the respective domains.Carrascosa Casamayor, C.; Klugl, F.; Ricci, A.; Boissier, O. (2015). From Physical to Virtual: Widening the Perspective on Multi-Agent Environments. En Agent Environments for Multi-Agent Systems IV. 4th International Workshop, E4MAS 2014 - 10 Years Later, Paris, France, May 6, 2014. 133-146. https://doi.org/10.1007/978-3-319-23850-0_9S133146Aggarwal, J.K., Ryoo, M.S.: Human activity analysis: a review. ACM Comput. 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    Nephronophthisis

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    Nephronophthisis (NPH) is an autosomal recessive disease characterized by a chronic tubulointerstitial nephritis that progress to terminal renal failure during the second decade (juvenile form) or before the age of 5 years (infantile form). In the juvenile form, a urine concentration defect starts during the first decade, and a progressive deterioration of renal function is observed in the following years. Kidney size may be normal, but loss of corticomedullary differentiation is often observed, and cysts occur usually after patients have progressed to end-stage renal failure. Histologic lesions are characterized by tubular basement membrane anomalies, tubular atrophy, and interstitial fibrosis. The infantile form is characterized by cortical microcysts and progression to end-stage renal failure before 5 years of age. Some children present with extrarenal symptoms: retinitis pigmentosa (Senior-Løken syndrome), mental retardation, cerebellar ataxia, bone anomalies, or liver fibrosis. Positional cloning and candidate gene approaches led to the identification of eight causative genes (NPHP1, 3, 4, 5, 6, 7, 8, and 9) responsible for the juvenile NPH and one gene NPHP2 for the infantile form. NPH and associated disorders are considered as ciliopathies, as all NPHP gene products are expressed in the primary cilia, similarly to the polycystic kidney disease (PKD) proteins

    G14A-06- Analysis of the DORIS, GNSS, SLR, VLBI and Gravimetric Time Series at the GGOS Core Sites

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    Analysis of the time series at the 3-4 multi-technique GGOS sites to analyze and compare the spectral content of the space geodetic and gravity time series. Evaluate the level of agreement between the space geodesy measurements and the physical tie vectors
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